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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.
DNPH1 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
113.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
324.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
254.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
234.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
214.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
213.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
210.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
209.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
205.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
202.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
202.6
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
201.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
193.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
191.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
189.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
188.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
184.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
182.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
182.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
180.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
176.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
175.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
175.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
174.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
174.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
173.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
171.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
171.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
168.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
168.3
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
167.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
163.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
161.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
159.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
157.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
156.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
156.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
155.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
154.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
152.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
152.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
152.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
149.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
149.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
148.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
148.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
147.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
146.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
146.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
144.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
144.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
143.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
143.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
142.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
141.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
141.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
140.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
139.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
137.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
137.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
136.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
135.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
134.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
134.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
134.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
134.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
134.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
132.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
132.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
129.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
129.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
129.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
128.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
128.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
127.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
127.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
127.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
126.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
126.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
126.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
126.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
125.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
125.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
125.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
124.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
123.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
123.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
123.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
123.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
123.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
122.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
121.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
121.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
121.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
121.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
120.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
120.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
118.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
118.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
117.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
117.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
116.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
116.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
116.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
115.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
115.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
115.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
115.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
115.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
114.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
113.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
113.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
113.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
113.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
112.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
112.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
112.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
112.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
111.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
111.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
111.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
110.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
110.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
109.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
108.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
108.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
108.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
107.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
107.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
107.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
107.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
107.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
106.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
106.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
106.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
105.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
105.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
104.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
104.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
103.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
103.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
103.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
102.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
102.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
101.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
101.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
100.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
99.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
99.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
99.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
98.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
98.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
98.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
98.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
98.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
98.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
97.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
97.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
97.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
97.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
97.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
96.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
96.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
96.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
95.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
95.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
95.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
95.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
95.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
95.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
94.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
93.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
93.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
92.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
91.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
91.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
91.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
90.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
90.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
89.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
89.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
88.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
88.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
88.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
87.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
87.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
86.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
86.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
85.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
85.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
85.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
85.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
84.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
84.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
83.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
83.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
82.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
82.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
82.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
81.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
81.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
81.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
81.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
81.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
81.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
80.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
80.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
79.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
78.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
78.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
78.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
78.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
77.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
76.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
76.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
76.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
76.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
76.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
76.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
75.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
74.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
73.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
72.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
71.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
71.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
70.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
70.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
69.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
67.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
66.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
64.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
64.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
63.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
61.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
61.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
60.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
59.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
58.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
57.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
52.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
51.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
51.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
50.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
50.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
48.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
48.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
46.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
43.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
41.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
38.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
37.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
36.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
30.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
30.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 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.
DNPH1 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
52.8
Number of samples
486
Samples
Sample
Description
TPM
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
426.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
310.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
231.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
210.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
156.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
136.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
103.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
98.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
97.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
95.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
93.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
90.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
90.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
89.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
89.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
88.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
87.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
84.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
82.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
82.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
81.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
80.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
79.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
78.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
78.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
76.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
76.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
76.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
75.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
75.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
74.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
74.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
73.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
73.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
73.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
72.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
71.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
71.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
71.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
71.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
71.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
70.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
70.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
70.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
70.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
70.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
69.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
69.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
69.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
69.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
69.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
69.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
69.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
69.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
69.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
68.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
68.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
68.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
68.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
68.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
67.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
67.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
67.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
67.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
67.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
66.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
66.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
66.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
66.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
66.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
66.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
66.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
66.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
65.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
65.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
65.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
65.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
65.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
65.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
64.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
64.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
64.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
64.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
63.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
63.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
63.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
63.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
63.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
62.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
62.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
62.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
62.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
62.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
62.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
62.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
62.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
62.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
62.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
62.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
62.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
61.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
61.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
61.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
61.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
61.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
61.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
61.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
61.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
60.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
60.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
60.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
60.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
60.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
60.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
60.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
60.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
59.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
59.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
59.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
59.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
59.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
58.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
58.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
58.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
58.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
58.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
58.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
58.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
58.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
58.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
58.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
57.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
57.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
57.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
57.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
57.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
57.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
57.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
57.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
57.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
57.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
56.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
56.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
56.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
56.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
56.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
56.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
56.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
56.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
56.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
56.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
56.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
55.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
55.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
55.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
55.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
55.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
55.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
55.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
55.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
55.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
55.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
55.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
55.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
55.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
55.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
55.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
55.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
55.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
55.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
55.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
55.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
55.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
55.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
54.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
54.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
54.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
54.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
54.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
54.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
54.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
54.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
54.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
54.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
54.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
54.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
54.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
54.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
54.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
54.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
54.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
54.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
53.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
53.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
53.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
53.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
53.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
53.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
53.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
53.5
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
53.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
53.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
53.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
53.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
53.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
53.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
53.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
53.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
52.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
52.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
52.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
52.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
52.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
52.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
52.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
52.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
52.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
52.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
52.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
52.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
51.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
51.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
51.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
51.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
51.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
51.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
51.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
51.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
50.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
50.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
50.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
50.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
50.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
50.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
50.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
50.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
50.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
50.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
49.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
49.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
49.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
49.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
49.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
49.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
49.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
49.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
49.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
49.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
49.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
49.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
48.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
48.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
48.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
48.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
48.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
48.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
48.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
48.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
48.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
48.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
48.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
48.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
47.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
47.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
47.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
47.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
47.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
47.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
47.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
47.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
47.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
47.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
47.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
47.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
47.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
47.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
47.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
47.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
46.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
46.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
46.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
46.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
46.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
46.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
46.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
46.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
46.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
46.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
46.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
46.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
46.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
46.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
46.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
46.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
45.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
45.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
45.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
45.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
45.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
45.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
45.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
45.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
45.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
44.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
44.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
44.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
44.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
44.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
44.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
44.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
44.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
44.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
44.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
44.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
44.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
44.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
44.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
44.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
43.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
43.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
43.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
43.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
43.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
43.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
43.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
43.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
43.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
43.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
43.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
43.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
42.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
42.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
42.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
42.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
42.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
42.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
42.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
42.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
42.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
42.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
41.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
41.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
41.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
41.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
41.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
41.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
41.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
41.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
41.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
41.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
41.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
41.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
41.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
41.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
41.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
41.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
41.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
41.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
41.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
40.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
40.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
40.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
40.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
40.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
40.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
40.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
40.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
40.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
40.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
40.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
40.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
40.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
40.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
40.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
39.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
39.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
39.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
39.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
39.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
39.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
39.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
39.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
39.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
38.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
38.9
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
38.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
38.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
38.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
38.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
38.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
38.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
38.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
38.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
38.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
38.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
38.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
38.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
37.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
37.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
37.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
37.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
37.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
37.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
37.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
37.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
37.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
37.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
37.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
37.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
37.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
36.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
36.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
36.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
36.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
36.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
36.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
36.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
36.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
35.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
35.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
35.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
35.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
35.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
35.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
35.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
35.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
35.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
35.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
35.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
34.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
34.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
34.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
34.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
34.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
34.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
34.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
34.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
34.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
33.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
33.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
33.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
33.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
33.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
33.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
33.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
33.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
33.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
32.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
32.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
32.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
32.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
32.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
31.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
31.7
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
31.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
31.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
31.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
30.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
30.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
30.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
30.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
29.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
29.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
29.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
29.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
28.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
28.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
28.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
28.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
28.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
27.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
27.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
27.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
27.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
27.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
27.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
27.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
26.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
24.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
24.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
24.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
23.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
21.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
5.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.8
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.
DNPH1 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
104.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
273.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
247.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
246.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
217.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
184.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
177.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
176.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
160.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
159.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
154.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
147.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
145.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
139.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
137.4
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
136.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
135.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
134.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
132.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
126.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
125.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
124.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
124.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
123.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
123.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
121.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
115.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
111.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
111.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
111.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
110.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
110.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
110.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
109.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
107.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
106.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
105.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
104.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
104.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
103.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
103.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
102.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
102.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
100.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
100.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
99.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
98.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
98.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
94.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
94.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
93.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
91.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
91.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
90.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
88.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
85.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
85.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
84.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
82.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
81.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
81.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
77.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
77.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
76.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
75.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
73.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
72.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
72.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
71.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
71.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
68.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
65.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
65.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
64.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
63.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
60.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
60.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
59.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
59.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
59.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
58.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
58.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
58.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
57.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
54.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
47.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
46.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
46.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 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.
DNPH1 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
47.0
Number of samples
207
Samples
Sample
Description
TPM
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
177.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
98.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
84.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
82.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
82.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
80.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
74.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
74.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
71.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
71.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
68.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
68.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
68.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
67.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
66.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
66.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
65.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
65.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
63.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
63.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
62.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
62.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
62.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
62.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
61.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
61.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
61.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
60.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
60.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
60.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
60.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
59.9
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
59.7
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
59.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
59.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
59.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
58.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
58.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
58.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
58.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
58.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
58.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
58.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
58.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
57.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
57.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
57.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
57.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
56.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
56.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
56.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
56.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
55.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
55.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
55.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
55.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
54.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
54.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
54.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
54.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
54.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
54.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
54.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
53.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
53.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
53.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
53.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
53.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
53.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
52.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
52.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
52.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
52.2
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
52.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
52.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
52.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
51.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
51.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
51.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
51.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
50.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
50.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
50.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
50.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
50.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
49.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
48.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
48.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
48.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
48.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
48.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
48.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
47.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
47.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
47.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
47.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
46.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
46.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
46.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
46.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
45.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
45.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
45.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
45.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
45.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
45.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
45.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
45.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
44.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
44.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
44.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
44.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
43.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
43.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
42.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
42.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
42.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
42.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
41.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
41.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
41.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
41.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
41.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
41.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
41.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
40.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
40.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
40.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
40.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
40.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
40.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
40.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
40.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
39.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
39.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
39.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
39.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
39.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
39.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
39.0
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
38.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
38.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
38.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
38.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
37.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
37.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
37.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
37.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
37.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
37.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
37.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
36.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
36.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
36.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
36.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
36.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
36.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
36.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
35.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
35.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
35.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
35.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
34.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
34.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
34.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
34.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
34.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
34.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
33.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
33.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
33.9
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
33.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
33.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
33.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
32.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
32.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
31.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
31.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
31.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
31.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
30.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
30.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
30.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
29.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
29.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
29.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
28.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
28.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
28.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
28.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
28.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
27.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
27.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
27.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
26.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
26.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
25.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
25.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
25.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
25.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
25.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
24.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
23.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
23.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
23.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
20.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
20.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
1.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.8
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.7
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.7
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.6
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.6
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.5
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.4
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.4
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.4
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.4
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.3
b2400046-1d25-429d-a821-6040a6
Tumor
0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.0
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.4
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.4
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.5
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.5
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.5
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.5
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.5
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.5
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.5
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.5
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.6
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.6
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.7
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.8
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.9
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-1.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-1.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-1.2
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.