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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
OCIAD1 is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
123.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
271.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
212.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
211.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
211.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
195.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
189.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
189.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
188.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
185.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
184.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
182.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
177.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
177.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
173.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
173.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
172.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
171.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
170.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
170.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
167.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
166.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
165.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
165.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
165.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
164.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
164.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
162.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
162.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
161.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
160.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
158.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
157.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
156.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
155.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
154.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
153.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
153.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
152.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
152.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
152.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
151.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
151.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
151.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
151.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
150.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
150.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
150.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
149.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
148.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
147.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
146.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
146.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
144.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
144.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
144.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
143.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
142.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
142.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
142.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
141.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
141.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
141.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
141.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
141.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
141.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
140.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
140.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
139.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
138.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
137.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
137.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
137.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
137.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
137.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
136.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
136.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
136.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
135.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
135.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
135.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
135.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
135.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
134.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
134.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
134.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
134.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
133.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
133.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
133.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
133.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
133.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
132.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
132.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
132.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
131.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
131.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
131.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
130.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
130.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
130.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
130.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
129.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
128.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
128.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
128.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
128.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
127.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
127.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
126.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
126.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
126.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
125.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
125.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
125.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
125.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
124.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
124.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
124.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
124.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
124.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
123.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
123.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
123.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
123.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
123.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
122.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
122.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
122.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
122.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
122.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
122.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
122.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
122.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
121.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
121.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
121.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
121.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
120.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
120.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
120.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
119.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
119.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
119.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
118.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
117.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
116.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
116.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
116.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
115.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
115.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
114.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
114.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
113.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
112.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
112.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
112.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
112.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
111.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
111.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
111.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
111.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
110.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
110.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
109.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
108.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
108.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
107.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
107.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
107.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
107.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
107.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
105.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
105.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
105.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
105.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
105.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
104.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
104.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
103.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
103.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
103.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
103.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
102.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
102.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
101.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
101.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
101.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
100.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
100.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
99.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
99.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
98.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
98.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
97.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
97.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
97.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
97.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
97.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
96.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
96.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
96.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
95.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
95.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
95.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
95.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
95.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
95.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
94.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
94.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
94.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
94.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
92.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
92.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
91.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
90.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
89.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
89.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
89.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
88.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
88.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
88.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
88.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
87.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
87.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
87.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
87.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
86.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
85.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
85.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
84.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
84.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
84.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
82.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
82.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
82.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
81.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
81.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
79.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
77.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
77.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
75.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
75.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
75.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
75.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
74.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
74.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
74.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
71.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
70.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
68.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
66.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
61.7
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
60.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
OCIAD1 is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
110.5
Number of samples
486
Samples
Sample
Description
TPM
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
230.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
194.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
186.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
181.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
174.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
173.7
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
164.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
163.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
162.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
160.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
160.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
158.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
157.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
156.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
153.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
153.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
152.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
151.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
148.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
148.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
148.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
147.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
147.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
145.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
144.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
144.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
143.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
143.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
142.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
142.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
141.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
141.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
141.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
140.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
139.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
139.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
138.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
138.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
138.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
138.6
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
138.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
137.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
137.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
136.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
136.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
135.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
135.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
135.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
135.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
135.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
135.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
135.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
134.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
134.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
134.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
133.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
133.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
133.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
133.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
133.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
133.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
133.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
132.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
132.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
132.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
132.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
132.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
132.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
132.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
132.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
132.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
132.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
131.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
131.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
131.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
131.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
131.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
131.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
130.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
130.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
130.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
129.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
129.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
129.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
129.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
129.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
129.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
129.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
129.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
128.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
128.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
128.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
128.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
128.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
128.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
128.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
128.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
127.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
127.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
127.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
127.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
127.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
127.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
126.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
126.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
126.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
126.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
126.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
126.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
126.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
126.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
126.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
126.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
126.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
126.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
126.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
126.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
125.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
125.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
125.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
124.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
124.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
124.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
124.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
124.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
124.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
124.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
124.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
124.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
124.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
124.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
123.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
123.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
123.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
123.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
123.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
123.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
123.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
122.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
122.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
122.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
122.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
122.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
122.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
122.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
121.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
121.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
121.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
121.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
121.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
120.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
120.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
120.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
120.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
120.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
120.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
120.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
120.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
119.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
119.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
119.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
119.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
119.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
119.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
119.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
119.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
119.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
119.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
118.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
118.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
118.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
118.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
118.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
118.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
118.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
118.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
118.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
118.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
117.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
117.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
117.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
117.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
117.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
117.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
117.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
117.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
117.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
117.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
116.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
116.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
116.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
116.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
116.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
116.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
116.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
116.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
116.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
116.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
115.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
115.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
115.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
115.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
115.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
115.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
115.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
115.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
114.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
114.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
114.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
114.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
114.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
113.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
113.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
113.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
113.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
113.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
113.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
113.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
112.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
112.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
112.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
112.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
112.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
112.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
112.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
112.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
111.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
111.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
111.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
110.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
110.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
110.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
110.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
110.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
110.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
110.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
110.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
110.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
110.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
109.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
109.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
109.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
109.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
109.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
109.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
109.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
109.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
109.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
109.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
109.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
109.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
108.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
108.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
108.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
108.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
108.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
108.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
108.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
108.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
108.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
108.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
107.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
107.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
107.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
107.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
107.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
107.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
107.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
106.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
106.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
106.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
106.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
106.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
106.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
106.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
106.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
106.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
106.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
106.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
106.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
106.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
106.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
105.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
105.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
105.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
105.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
105.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
105.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
105.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
105.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
105.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
105.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
105.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
105.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
105.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
104.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
104.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
104.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
104.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
103.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
103.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
103.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
102.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
102.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
102.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
102.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
102.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
102.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
102.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
102.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
102.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
101.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
101.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
101.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
101.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
101.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
101.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
101.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
101.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
101.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
101.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
101.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
100.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
100.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
100.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
100.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
100.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
100.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
100.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
100.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
100.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
99.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
99.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
99.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
99.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
99.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
99.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
99.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
99.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
99.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
99.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
98.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
98.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
98.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
98.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
98.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
98.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
98.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
98.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
98.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
97.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
97.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
97.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
97.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
97.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
97.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
97.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
97.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
97.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
97.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
96.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
96.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
96.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
96.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
96.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
96.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
96.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
96.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
95.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
95.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
95.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
95.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
95.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
95.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
95.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
95.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
95.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
94.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
94.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
94.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
94.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
94.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
94.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
94.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
94.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
94.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
93.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
93.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
93.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
92.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
92.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
92.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
92.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
92.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
92.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
92.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
92.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
91.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
91.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
91.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
91.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
91.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
91.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
91.2
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
91.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
90.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
90.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
90.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
90.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
90.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
89.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
89.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
89.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
88.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
88.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
88.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
88.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
87.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
87.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
87.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
87.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
87.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
87.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
87.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
87.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
87.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
86.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
86.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
86.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
85.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
85.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
85.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
85.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
84.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
84.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
84.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
84.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
84.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
83.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
83.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
83.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
82.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
82.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
81.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
81.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
81.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
80.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
80.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
80.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
79.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
79.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
79.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
79.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
79.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
79.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
78.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
78.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
78.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
78.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
77.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
77.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
77.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
76.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
76.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
75.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
75.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
74.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
73.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
73.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
72.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
72.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
72.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
71.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
70.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
70.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
69.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
69.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
66.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
66.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
62.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
60.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
60.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
58.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
56.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.9
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
OCIAD1 is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
122.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
224.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
219.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
209.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
186.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
183.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
179.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
174.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
172.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
171.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
165.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
164.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
163.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
161.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
154.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
152.2
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
152.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
151.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
147.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
146.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
143.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
143.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
143.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
142.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
139.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
138.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
137.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
137.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
135.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
134.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
134.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
131.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
129.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
129.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
128.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
128.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
126.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
125.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
125.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
124.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
124.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
124.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
123.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
123.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
123.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
123.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
122.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
121.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
119.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
117.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
117.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
116.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
115.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
115.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
114.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
113.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
112.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
112.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
111.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
111.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
109.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
107.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
107.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
106.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
104.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
104.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
104.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
101.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
100.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
97.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
96.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
94.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
90.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
88.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
87.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
87.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
85.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
85.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
81.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
74.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
73.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
71.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
70.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
70.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
66.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
60.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
48.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
30.7
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
OCIAD1 is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
98.8
Number of samples
207
Samples
Sample
Description
TPM
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
192.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
158.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
150.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
144.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
140.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
140.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
139.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
138.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
138.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
138.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
138.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
136.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
136.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
133.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
133.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
133.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
131.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
131.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
131.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
131.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
130.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
128.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
128.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
128.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
127.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
125.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
125.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
124.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
124.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
124.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
124.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
123.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
122.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
122.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
121.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
121.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
120.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
119.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
119.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
118.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
118.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
118.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
118.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
117.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
117.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
117.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
117.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
117.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
117.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
117.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
116.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
116.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
115.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
115.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
115.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
115.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
114.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
114.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
113.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
113.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
113.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
113.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
112.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
112.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
112.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
112.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
111.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
110.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
110.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
109.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
109.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
109.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
109.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
108.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
108.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
107.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
106.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
106.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
105.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
105.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
104.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
103.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
103.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
103.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
103.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
103.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
103.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
102.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
100.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
100.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
100.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
99.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
98.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
98.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
98.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
97.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
97.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
97.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
97.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
97.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
97.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
97.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
96.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
96.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
96.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
96.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
95.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
94.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
94.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
94.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
94.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
93.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
93.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
93.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
93.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
93.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
93.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
92.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
92.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
92.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
92.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
92.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
92.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
92.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
91.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
91.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
91.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
91.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
90.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
90.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
89.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
89.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
89.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
89.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
89.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
89.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
89.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
88.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
88.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
88.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
87.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
87.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
87.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
87.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
86.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
86.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
86.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
86.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
86.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
85.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
85.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
84.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
84.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
84.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
84.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
84.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
83.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
83.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
83.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
83.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
83.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
82.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
82.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
81.7
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
80.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
80.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
79.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
79.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
79.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
78.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
78.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
78.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
78.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
77.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
77.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
76.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
76.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
75.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
75.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
74.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
73.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
72.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
72.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
72.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
72.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
70.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
69.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
69.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
68.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
68.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
67.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
66.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
65.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
64.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
63.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
61.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
59.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
59.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
58.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
57.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
53.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
51.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
50.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
48.3
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
46.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
35.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
20.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.8
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.7
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.6
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.6
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.5
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.4
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.3
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Normal
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Normal
0.3
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Normal
0.3
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Tumor
0.3
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Normal
0.3
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.2
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Normal
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.2
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
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Tumor
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
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Tumor
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Tumor
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Tumor
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.2
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Tumor
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Tumor
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Tumor
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Normal
-0.2
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Tumor
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Tumor
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Normal
-0.2
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.4
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Tumor
-0.4
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Normal
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.5
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.6
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
