We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
GHITM 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
126.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
317.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
308.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
233.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
232.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
229.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
219.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
219.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
213.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
208.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
202.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
201.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
197.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
197.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
190.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
185.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
185.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
184.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
184.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
182.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
182.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
179.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
178.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
178.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
176.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
175.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
174.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
172.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
171.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
170.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
168.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
167.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
167.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
166.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
166.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
164.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
161.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
161.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
158.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
157.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
157.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
155.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
154.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
153.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
152.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
151.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
151.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
151.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
151.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
150.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
150.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
149.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
148.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
147.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
147.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
146.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
146.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
146.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
145.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
145.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
145.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
144.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
144.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
143.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
143.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
143.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
142.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
141.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
141.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
141.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
140.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
140.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
139.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
139.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
138.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
138.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
138.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
138.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
137.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
137.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
137.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
136.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
136.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
136.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
136.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
135.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
135.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
135.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
134.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
134.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
134.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
134.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
133.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
133.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
133.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
133.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
133.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
133.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
132.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
132.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
131.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
130.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
130.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
130.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
129.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
129.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
128.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
128.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
128.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
128.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
128.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
127.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
127.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
127.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
127.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
127.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
126.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
126.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
126.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
126.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
126.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
125.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
125.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
125.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
125.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
125.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
125.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
124.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
124.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
124.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
123.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
123.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
123.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
123.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
122.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
122.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
121.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
121.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
121.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
121.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
121.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
120.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
120.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
119.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
119.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
118.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
117.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
117.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
117.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
117.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
117.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
117.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
116.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
115.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
115.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
115.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
114.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
114.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
114.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
113.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
113.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
112.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
112.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
111.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
111.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
111.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
110.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
110.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
110.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
110.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
109.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
108.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
108.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
107.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
106.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
105.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
105.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
105.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
104.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
104.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
104.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
104.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
103.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
103.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
102.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
101.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
101.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
101.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
101.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
100.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
100.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
100.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
100.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
99.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
98.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
98.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
97.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
96.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
96.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
96.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
96.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
96.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
96.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
95.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
95.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
94.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
94.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
93.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
93.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
93.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
93.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
93.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
92.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
92.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
92.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
92.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
92.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
91.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
91.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
91.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
91.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
91.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
90.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
88.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
88.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
86.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
85.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
85.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
84.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
84.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
84.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
83.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
83.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
83.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
83.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
81.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
80.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
77.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
77.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
77.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
77.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
74.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
72.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
72.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
71.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
67.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
67.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
67.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
67.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
64.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
60.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
59.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
58.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
54.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 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.
GHITM 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
89.1
Number of samples
486
Samples
Sample
Description
TPM
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
395.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
231.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
177.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
169.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
163.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
156.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
145.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
142.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
142.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
141.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
141.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
140.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
140.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
138.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
136.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
136.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
135.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
134.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
133.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
133.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
133.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
129.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
128.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
127.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
126.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
125.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
123.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
123.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
123.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
122.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
122.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
121.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
120.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
120.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
120.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
119.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
119.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
119.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
119.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
119.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
119.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
119.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
118.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
118.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
118.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
118.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
118.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
117.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
116.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
116.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
116.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
115.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
114.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
114.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
114.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
114.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
113.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
112.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
112.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
112.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
112.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
112.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
112.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
112.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
112.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
111.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
111.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
111.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
111.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
111.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
110.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
110.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
110.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
110.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
110.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
109.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
109.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
109.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
108.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
107.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
107.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
107.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
107.7
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
107.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
106.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
106.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
106.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
106.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
106.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
106.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
105.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
105.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
105.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
104.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
104.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
104.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
104.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
104.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
103.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
103.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
103.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
103.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
103.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
102.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
102.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
102.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
102.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
102.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
102.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
102.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
101.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
101.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
101.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
101.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
101.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
101.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
100.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
100.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
100.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
100.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
100.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
100.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
100.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
100.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
100.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
100.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
100.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
100.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
99.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
99.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
99.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
99.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
99.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
99.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
99.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
99.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
98.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
98.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
98.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
98.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
98.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
97.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
97.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
97.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
97.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
97.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
97.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
97.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
97.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
97.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
97.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
97.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
96.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
96.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
96.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
96.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
96.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
96.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
95.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
95.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
95.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
95.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
95.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
95.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
95.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
94.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
94.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
94.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
94.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
94.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
94.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
94.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
94.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
94.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
94.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
94.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
94.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
94.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
94.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
94.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
93.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
93.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
93.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
93.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
93.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
93.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
93.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
92.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
92.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
92.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
92.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
92.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
92.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
92.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
92.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
92.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
92.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
91.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
91.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
91.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
91.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
91.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
91.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
91.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
91.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
90.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
90.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
90.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
90.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
90.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
90.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
90.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
90.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
90.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
90.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
90.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
89.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
89.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
89.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
89.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
89.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
89.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
89.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
88.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
88.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
88.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
88.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
88.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
88.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
88.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
88.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
88.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
88.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
88.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
88.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
88.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
88.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
87.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
87.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
87.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
87.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
87.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
87.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
87.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
87.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
87.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
87.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
87.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
87.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
86.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
86.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
86.9
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
86.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
86.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
86.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
86.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
86.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
86.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
86.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
86.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
85.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
85.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
85.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
85.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
85.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
85.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
84.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
84.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
84.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
84.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
84.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
84.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
84.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
84.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
84.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
83.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
83.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
83.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
83.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
82.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
82.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
82.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
82.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
82.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
82.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
82.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
82.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
82.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
81.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
81.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
81.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
81.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
81.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
81.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
81.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
81.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
80.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
80.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
80.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
80.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
80.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
80.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
80.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
80.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
80.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
80.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
80.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
80.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
79.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
79.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
79.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
79.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
79.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
79.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
79.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
79.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
79.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
79.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
79.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
79.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
79.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
79.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
78.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
78.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
78.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
78.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
78.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
78.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
77.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
77.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
77.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
77.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
77.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
77.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
77.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
77.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
77.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
76.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
76.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
76.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
76.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
76.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
76.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
76.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
76.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
76.0
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
76.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
75.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
75.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
75.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
75.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
75.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
75.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
74.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
74.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
74.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
74.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
74.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
74.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
74.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
74.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
74.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
74.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
73.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
73.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
73.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
73.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
73.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
73.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
73.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
73.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
73.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
73.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
73.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
73.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
72.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
72.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
72.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
72.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
72.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
72.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
71.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
71.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
71.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
71.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
71.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
71.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
70.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
70.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
70.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
70.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
70.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
70.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
69.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
69.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
69.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
69.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
69.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
69.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
69.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
69.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
69.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
69.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
68.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
68.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
68.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
68.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
68.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
68.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
68.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
67.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
67.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
67.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
67.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
67.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
66.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
66.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
66.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
66.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
66.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
66.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
66.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
66.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
65.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
65.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
65.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
65.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
65.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
65.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
65.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
65.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
64.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
64.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
64.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
62.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
62.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
62.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
62.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
62.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
61.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
61.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
61.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
61.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
61.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
61.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
61.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
61.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
60.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
60.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
60.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
59.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
59.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
59.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
59.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
59.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
59.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
58.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
58.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
58.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
58.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
57.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
57.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
57.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
57.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
56.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
56.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
55.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
55.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
55.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
54.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
54.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
54.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
54.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
52.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
50.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
50.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
49.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
48.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
48.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
48.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
44.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
42.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
41.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
36.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.7
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.
GHITM 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
127.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
219.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
214.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
214.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
207.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
200.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
200.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
200.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
191.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
187.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
181.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
181.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
180.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
179.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
178.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
177.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
177.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
171.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
165.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
165.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
164.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
162.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
161.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
157.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
156.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
156.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
156.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
150.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
148.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
147.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
146.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
145.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
143.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
142.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
140.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
138.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
137.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
133.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
132.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
132.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
131.2
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
125.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
123.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
122.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
121.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
120.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
118.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
118.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
118.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
118.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
116.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
115.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
115.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
114.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
110.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
110.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
109.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
108.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
108.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
108.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
104.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
103.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
101.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
101.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
101.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
100.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
99.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
97.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
95.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
93.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
92.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
90.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
89.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
87.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
86.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
82.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
81.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
81.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
80.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
79.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
72.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
72.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
71.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
63.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
59.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
58.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
43.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
39.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
GHITM 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
79.8
Number of samples
207
Samples
Sample
Description
TPM
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
314.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
161.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
139.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
139.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
132.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
125.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
119.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
118.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
115.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
114.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
113.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
112.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
112.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
112.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
109.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
109.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
109.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
108.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
107.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
106.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
105.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
105.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
104.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
104.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
103.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
101.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
100.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
100.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
99.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
98.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
98.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
98.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
98.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
97.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
97.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
97.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
97.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
96.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
95.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
95.7
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
95.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
94.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
94.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
94.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
94.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
93.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
92.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
92.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
92.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
92.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
91.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
91.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
91.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
91.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
91.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
91.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
91.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
91.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
90.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
90.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
90.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
90.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
89.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
89.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
89.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
89.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
88.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
88.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
88.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
88.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
87.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
86.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
86.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
86.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
85.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
85.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
84.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
84.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
84.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
84.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
84.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
83.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
83.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
83.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
83.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
83.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
83.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
83.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
83.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
82.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
82.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
81.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
80.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
80.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
80.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
80.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
79.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
79.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
79.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
79.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
79.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
79.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
78.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
78.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
78.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
77.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
77.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
77.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
76.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
76.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
76.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
76.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
75.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
75.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
74.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
74.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
74.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
74.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
73.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
73.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
73.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
72.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
72.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
72.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
71.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
71.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
71.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
70.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
70.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
70.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
70.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
70.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
70.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
70.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
70.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
70.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
69.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
69.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
69.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
68.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
67.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
67.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
67.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
66.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
66.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
66.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
66.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
66.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
66.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
66.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
65.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
65.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
65.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
64.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
64.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
64.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
64.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
63.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
63.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
63.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
63.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
62.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
62.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
61.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
61.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
60.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
60.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
60.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
59.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
59.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
58.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
58.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
58.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
58.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
57.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
57.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
56.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
56.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
56.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
56.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
56.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
55.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
55.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
54.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
54.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
54.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
52.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
52.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
52.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
52.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
51.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
51.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
50.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
49.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
49.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
48.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
47.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
46.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
45.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
45.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
45.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
44.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
42.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
41.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
38.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
33.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
7.7
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
1.5
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
1.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
1.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.9
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.8
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.8
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.7
43192517-085e-450e-9481-0a6713_D3
Tumor
0.7
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.6
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.6
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.6
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.6
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.6
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.6
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.5
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.5
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.5
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.5
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.5
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.5
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.5
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.4
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.4
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.4
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.4
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.4
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.4
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.4
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.0
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.0
b2400046-1d25-429d-a821-6040a6
Tumor
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.4
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.4
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.4
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.4
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.4
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.4
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.5
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.5
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.5
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.5
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.6
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.6
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.6
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.7
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.7
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.8
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.8
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-1.0
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
