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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
POMP 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
147.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
436.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
373.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
341.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
329.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
315.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
311.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
293.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
290.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
274.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
272.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
270.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
269.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
266.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
262.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
262.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
255.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
254.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
252.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
244.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
233.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
230.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
229.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
228.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
228.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
227.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
226.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
221.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
219.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
219.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
218.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
216.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
215.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
214.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
213.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
212.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
212.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
211.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
203.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
203.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
201.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
196.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
196.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
195.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
195.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
194.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
194.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
192.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
192.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
187.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
186.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
185.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
185.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
184.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
183.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
183.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
180.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
178.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
178.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
177.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
175.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
170.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
169.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
169.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
169.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
169.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
169.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
168.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
168.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
166.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
164.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
164.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
163.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
163.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
162.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
162.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
162.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
162.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
162.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
161.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
161.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
161.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
161.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
160.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
159.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
158.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
157.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
157.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
156.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
155.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
154.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
154.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
153.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
153.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
153.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
152.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
152.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
152.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
151.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
150.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
150.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
149.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
149.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
149.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
148.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
148.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
148.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
147.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
147.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
146.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
146.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
146.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
146.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
145.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
144.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
143.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
143.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
143.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
142.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
142.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
142.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
141.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
141.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
140.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
139.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
138.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
138.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
137.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
136.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
136.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
136.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
136.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
136.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
136.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
135.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
135.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
135.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
135.0
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
134.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
133.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
132.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
132.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
132.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
132.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
130.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
129.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
129.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
128.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
128.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
128.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
128.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
127.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
126.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
126.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
126.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
125.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
121.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
121.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
119.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
119.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
118.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
118.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
118.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
118.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
118.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
118.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
117.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
117.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
116.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
115.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
115.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
115.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
115.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
115.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
114.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
114.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
114.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
113.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
113.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
113.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
112.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
110.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
110.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
110.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
109.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
109.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
107.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
107.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
107.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
105.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
105.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
104.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
104.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
104.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
104.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
102.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
102.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
101.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
101.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
101.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
101.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
100.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
100.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
99.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
98.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
97.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
97.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
96.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
95.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
95.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
95.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
93.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
92.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
92.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
91.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
91.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
90.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
90.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
88.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
88.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
88.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
88.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
87.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
86.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
86.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
86.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
86.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
85.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
84.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
83.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
83.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
82.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
81.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
80.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
80.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
80.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
79.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
79.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
79.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
78.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
78.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
78.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
77.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
75.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
74.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
73.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
71.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
69.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
68.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
67.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
66.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
59.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
55.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
55.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 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.
POMP 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
95.4
Number of samples
486
Samples
Sample
Description
TPM
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
904.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
256.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
247.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
238.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
231.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
225.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
224.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
221.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
219.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
188.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
181.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
179.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
177.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
176.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
176.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
175.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
174.5
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
164.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
163.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
162.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
158.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
156.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
155.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
154.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
153.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
153.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
153.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
150.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
149.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
149.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
148.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
148.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
148.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
144.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
144.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
144.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
144.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
142.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
142.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
141.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
141.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
141.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
140.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
140.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
139.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
137.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
137.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
137.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
137.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
136.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
135.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
132.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
132.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
131.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
130.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
130.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
129.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
129.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
129.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
127.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
127.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
127.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
127.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
126.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
126.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
126.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
126.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
126.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
125.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
125.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
124.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
124.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
123.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
123.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
123.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
123.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
123.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
123.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
122.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
121.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
121.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
121.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
121.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
121.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
120.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
119.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
119.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
119.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
119.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
117.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
117.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
117.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
117.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
116.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
116.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
116.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
116.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
115.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
115.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
115.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
114.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
113.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
113.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
113.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
112.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
112.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
112.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
112.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
112.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
112.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
112.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
112.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
112.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
112.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
111.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
111.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
111.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
111.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
110.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
110.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
110.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
110.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
109.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
109.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
109.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
109.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
109.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
109.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
109.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
108.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
108.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
108.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
108.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
107.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
107.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
107.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
107.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
107.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
107.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
107.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
106.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
106.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
106.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
106.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
106.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
106.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
106.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
105.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
105.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
105.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
104.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
104.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
104.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
104.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
103.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
103.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
103.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
103.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
103.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
103.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
103.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
102.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
102.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
102.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
102.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
101.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
100.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
100.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
100.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
100.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
100.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
100.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
100.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
99.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
99.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
99.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
99.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
99.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
99.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
98.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
98.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
98.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
98.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
98.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
98.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
98.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
97.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
97.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
96.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
96.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
96.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
96.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
96.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
96.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
96.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
96.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
96.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
95.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
95.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
95.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
95.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
95.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
95.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
94.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
94.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
94.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
94.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
94.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
93.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
93.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
93.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
93.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
93.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
93.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
93.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
93.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
93.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
93.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
92.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
92.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
92.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
92.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
92.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
92.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
92.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
91.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
91.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
91.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
91.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
91.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
91.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
91.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
90.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
90.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
90.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
90.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
90.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
90.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
90.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
89.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
89.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
89.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
88.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
88.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
88.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
88.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
88.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
87.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
87.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
87.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
87.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
87.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
87.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
87.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
87.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
87.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
86.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
86.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
86.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
86.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
85.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
85.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
85.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
85.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
85.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
85.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
85.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
85.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
85.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
85.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
85.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
84.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
84.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
84.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
84.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
84.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
84.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
84.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
84.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
84.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
83.8
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
83.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
83.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
82.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
81.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
81.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
81.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
81.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
81.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
81.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
81.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
81.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
80.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
80.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
80.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
80.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
80.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
80.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
80.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
80.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
79.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
79.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
79.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
79.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
79.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
79.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
79.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
78.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
78.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
78.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
78.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
78.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
78.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
78.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
78.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
78.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
78.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
77.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
77.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
77.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
77.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
77.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
77.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
77.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
77.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
77.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
77.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
76.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
76.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
76.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
76.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
76.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
76.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
75.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
75.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
75.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
74.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
74.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
74.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
74.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
74.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
74.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
74.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
74.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
73.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
73.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
73.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
73.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
73.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
73.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
73.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
73.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
73.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
72.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
72.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
72.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
72.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
72.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
71.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
71.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
71.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
71.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
71.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
71.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
71.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
70.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
70.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
70.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
70.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
70.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
70.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
70.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
69.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
69.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
69.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
69.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
69.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
68.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
68.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
68.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
68.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
68.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
68.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
68.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
67.9
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
67.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
67.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
66.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
66.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
66.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
66.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
65.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
65.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
65.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
64.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
64.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
64.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
64.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
64.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
64.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
63.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
63.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
63.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
63.5
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
63.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
63.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
63.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
62.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
62.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
62.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
62.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
62.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
62.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
61.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
61.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
61.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
61.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
61.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
60.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
60.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
60.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
60.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
60.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
60.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
60.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
59.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
59.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
59.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
59.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
59.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
59.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
59.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
59.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
58.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
58.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
57.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
57.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
57.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
57.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
57.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
57.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
56.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
56.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
56.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
56.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
55.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
55.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
55.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
55.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
55.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
54.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
54.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
54.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
53.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
53.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
53.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
52.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
52.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
52.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
52.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
51.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
51.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
51.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
51.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
51.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
51.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
50.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
49.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
49.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
48.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
47.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
47.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
45.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
45.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
44.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
43.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
43.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
42.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
39.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
36.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
36.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
35.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
32.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
28.3
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.8
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
POMP 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
183.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
985.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
489.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
488.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
366.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
330.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
309.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
298.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
293.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
286.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
285.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
279.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
268.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
257.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
255.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
240.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
226.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
224.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
218.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
211.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
210.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
210.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
207.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
206.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
203.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
203.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
201.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
200.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
197.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
196.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
193.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
193.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
192.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
192.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
186.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
186.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
185.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
175.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
171.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
169.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
168.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
167.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
166.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
163.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
158.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
156.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
155.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
152.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
152.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
150.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
149.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
146.2
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
145.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
144.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
141.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
138.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
136.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
134.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
132.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
132.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
129.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
129.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
123.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
118.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
118.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
117.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
116.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
114.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
114.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
112.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
110.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
108.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
107.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
107.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
105.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
105.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
102.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
102.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
102.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
102.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
99.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
96.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
94.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
82.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
80.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
79.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
73.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 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.
POMP 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
97.6
Number of samples
207
Samples
Sample
Description
TPM
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
878.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
418.7
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
417.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
295.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
248.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
218.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
216.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
212.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
200.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
195.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
194.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
173.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
173.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
167.7
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
166.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
152.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
151.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
150.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
148.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
147.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
136.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
133.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
131.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
130.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
129.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
128.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
128.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
127.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
124.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
122.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
121.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
120.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
119.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
118.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
116.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
114.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
114.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
114.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
113.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
113.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
113.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
112.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
112.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
111.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
110.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
109.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
109.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
109.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
107.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
107.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
106.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
106.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
106.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
105.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
105.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
105.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
104.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
103.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
103.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
102.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
101.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
101.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
101.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
101.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
100.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
99.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
99.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
98.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
98.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
98.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
97.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
96.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
95.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
95.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
95.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
94.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
94.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
93.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
93.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
93.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
92.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
92.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
92.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
92.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
92.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
91.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
91.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
91.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
90.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
89.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
89.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
88.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
88.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
88.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
88.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
88.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
87.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
87.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
86.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
86.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
86.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
85.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
85.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
85.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
85.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
85.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
84.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
84.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
84.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
83.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
83.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
83.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
83.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
82.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
82.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
82.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
82.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
81.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
80.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
80.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
79.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
77.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
77.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
76.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
75.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
75.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
75.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
75.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
75.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
74.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
74.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
74.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
74.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
73.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
73.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
72.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
72.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
72.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
71.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
71.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
71.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
70.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
69.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
69.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
69.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
68.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
68.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
68.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
68.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
66.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
65.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
65.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
65.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
64.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
64.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
63.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
63.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
63.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
63.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
63.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
63.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
62.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
62.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
61.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
61.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
61.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
61.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
61.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
61.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
60.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
60.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
60.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
60.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
59.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
59.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
57.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
57.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
57.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
57.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
57.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
56.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
54.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
52.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
52.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
52.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
51.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
51.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
50.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
49.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
49.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
49.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
49.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
47.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
47.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
46.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
45.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
45.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
45.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
44.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
43.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
43.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
43.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
41.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
41.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
40.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
37.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
6.5
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
2.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
1.5
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
1.4
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
1.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
1.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
1.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
1.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
1.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.9
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.9
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.9
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.9
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.8
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.8
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.7
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.6
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.6
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.6
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.5
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.5
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.5
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.5
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.5
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.4
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.5
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.5
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.5
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.5
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.5
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.5
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.5
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.5
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.5
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.5
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.5
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.5
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.5
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.5
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.5
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.6
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.6
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.6
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.6
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.7
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.7
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.7
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.7
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.7
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.7
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.7
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.8
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.8
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.8
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.9
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.9
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.9
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-1.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-1.0
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-1.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-1.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-1.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-1.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-1.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.9
b2400046-1d25-429d-a821-6040a6
Tumor
-2.6
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
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
