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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.
DPEP1 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
146.5
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
1128.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
1102.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
726.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
716.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
616.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
598.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
594.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
536.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
530.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
517.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
514.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
498.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
457.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
443.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
440.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
434.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
418.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
405.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
393.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
374.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
368.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
360.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
360.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
357.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
350.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
347.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
344.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
340.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
337.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
335.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
331.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
322.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
316.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
316.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
311.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
305.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
304.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
299.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
294.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
280.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
277.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
269.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
267.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
264.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
261.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
255.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
252.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
240.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
237.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
236.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
236.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
233.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
228.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
228.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
227.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
225.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
223.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
223.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
222.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
217.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
210.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
210.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
206.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
206.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
204.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
203.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
202.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
202.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
197.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
194.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
194.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
193.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
193.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
192.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
191.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
189.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
183.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
175.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
174.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
174.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
173.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
169.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
168.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
168.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
167.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
165.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
164.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
162.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
154.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
154.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
153.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
150.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
145.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
145.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
144.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
143.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
136.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
134.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
132.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
131.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
130.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
129.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
127.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
127.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
125.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
125.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
124.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
124.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
122.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
119.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
119.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
118.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
118.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
115.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
109.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
108.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
107.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
106.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
106.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
105.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
104.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
103.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
102.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
102.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
96.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
92.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
92.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
90.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
89.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
88.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
85.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
85.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
84.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
83.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
83.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
81.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
80.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
78.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
78.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
78.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
77.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
75.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
75.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
74.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
74.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
73.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
72.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
70.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
70.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
68.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
68.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
68.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
65.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
65.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
64.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
64.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
62.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
61.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
58.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
58.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
56.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
54.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
54.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
52.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
51.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
49.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
49.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
48.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
44.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
43.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
43.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
42.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
40.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
40.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
39.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
38.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
38.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
37.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
36.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
36.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
35.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
34.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
34.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
33.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
32.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
31.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
31.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
31.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
31.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
30.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
28.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
28.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
26.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
25.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
24.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
24.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
24.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
24.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
23.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
22.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
22.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
20.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
19.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
18.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
18.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
17.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
17.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
15.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
15.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
13.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
11.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
11.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
10.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
10.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
10.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
10.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
9.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
9.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
9.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
9.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
8.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
8.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
8.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
8.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
7.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
6.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
6.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
6.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
6.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
5.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
5.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
5.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
5.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
4.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
4.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
4.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
3.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
2.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
2.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
2.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
2.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
2.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
1.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
1.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
1.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
0.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
0.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
0.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
0.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
0.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
0.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
0.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
0.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 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.
DPEP1 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
113.2
Number of samples
486
Samples
Sample
Description
TPM
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
941.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
730.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
661.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
635.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
622.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
595.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
589.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
559.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
557.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
550.7
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
521.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
458.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
455.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
414.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
413.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
403.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
401.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
390.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
385.7
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
381.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
375.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
374.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
373.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
363.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
362.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
357.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
355.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
350.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
345.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
343.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
341.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
335.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
333.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
323.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
321.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
320.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
318.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
312.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
311.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
309.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
309.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
306.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
306.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
306.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
305.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
302.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
302.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
299.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
298.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
294.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
294.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
293.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
293.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
292.0
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
290.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
289.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
289.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
280.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
280.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
280.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
278.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
276.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
274.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
269.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
269.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
268.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
267.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
264.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
264.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
262.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
258.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
256.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
251.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
251.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
245.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
243.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
243.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
242.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
241.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
239.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
239.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
237.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
235.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
234.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
233.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
231.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
230.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
230.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
229.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
227.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
220.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
218.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
214.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
212.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
208.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
204.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
201.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
200.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
198.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
195.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
195.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
193.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
191.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
191.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
189.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
188.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
187.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
186.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
185.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
184.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
184.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
183.5
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
183.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
181.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
180.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
179.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
177.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
177.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
176.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
173.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
172.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
171.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
171.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
168.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
166.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
165.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
163.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
162.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
161.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
160.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
158.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
158.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
158.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
157.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
154.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
152.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
151.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
150.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
149.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
148.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
147.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
145.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
144.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
144.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
143.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
143.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
139.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
135.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
135.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
134.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
134.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
132.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
131.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
131.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
130.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
129.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
127.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
126.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
125.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
125.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
125.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
125.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
124.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
119.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
119.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
118.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
118.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
118.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
118.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
114.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
114.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
112.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
112.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
111.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
111.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
111.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
109.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
108.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
107.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
107.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
107.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
105.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
105.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
104.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
104.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
104.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
103.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
102.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
102.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
101.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
100.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
100.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
98.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
98.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
96.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
96.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
96.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
95.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
95.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
94.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
94.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
93.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
93.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
92.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
91.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
90.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
90.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
89.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
89.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
89.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
88.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
87.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
87.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
86.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
86.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
84.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
84.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
84.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
82.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
81.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
81.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
79.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
78.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
77.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
76.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
76.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
76.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
76.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
75.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
75.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
74.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
73.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
73.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
72.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
71.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
71.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
70.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
68.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
67.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
67.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
66.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
66.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
66.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
65.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
65.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
62.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
62.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
60.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
59.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
59.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
58.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
57.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
56.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
55.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
55.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
55.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
55.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
54.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
53.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
53.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
52.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
52.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
51.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
51.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
51.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
49.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
48.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
48.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
47.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
46.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
46.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
45.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
44.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
44.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
43.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
42.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
42.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
41.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
41.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
41.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
40.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
40.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
40.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
39.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
39.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
39.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
39.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
38.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
38.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
38.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
37.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
36.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
36.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
36.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
36.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
35.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
35.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
35.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
34.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
34.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
33.5
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
33.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
33.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
33.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
32.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
31.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
31.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
30.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
30.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
30.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
30.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
29.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
28.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
28.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
27.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
26.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
26.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
26.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
25.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
25.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
25.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
24.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
24.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
24.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
24.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
23.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
23.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
23.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
22.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
22.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
22.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
22.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
21.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
21.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
20.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
19.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
19.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
19.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
19.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
18.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
18.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
17.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
17.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
17.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
16.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
16.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
16.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
16.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
16.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
16.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
16.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
16.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
15.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
15.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
15.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
15.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
14.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
14.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
13.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
13.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
12.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
12.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
12.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
11.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
11.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
11.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
11.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
11.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
10.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
10.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
10.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
10.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
10.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
10.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
10.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
10.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
9.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
9.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
9.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
9.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
9.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
9.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
9.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
9.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
9.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
8.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
8.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
8.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
8.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
8.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
8.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
8.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
7.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
7.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
7.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
7.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
7.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
7.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
7.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
7.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
6.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
6.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
6.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
6.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
6.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
6.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
6.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
6.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
6.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
6.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
5.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
5.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
5.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
5.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
5.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
5.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
5.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
4.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
4.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
4.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
4.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
3.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
3.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
3.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
3.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
3.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
3.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
3.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
3.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
3.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
3.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
3.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
3.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
3.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
2.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
2.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
2.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
2.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
2.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
2.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
2.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
2.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
2.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
1.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
1.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
1.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
1.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
1.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
1.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
1.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
1.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
1.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
1.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
1.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
1.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
1.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
1.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
1.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
1.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
1.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
1.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
1.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
1.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
1.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
1.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
1.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
1.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
1.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
1.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
1.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
1.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
0.9
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
0.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
0.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
0.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
0.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
0.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
0.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
0.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
0.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
0.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
0.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
0.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
0.2
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.
DPEP1 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
175.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
1072.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
708.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
497.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
488.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
438.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
429.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
427.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
420.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
375.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
369.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
361.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
329.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
318.4
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
297.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
293.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
292.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
291.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
272.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
272.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
259.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
257.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
252.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
250.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
241.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
239.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
237.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
235.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
233.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
230.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
222.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
218.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
197.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
189.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
186.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
160.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
153.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
148.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
143.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
143.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
142.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
139.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
139.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
138.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
129.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
128.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
128.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
125.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
124.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
124.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
119.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
115.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
107.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
106.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
93.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
91.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
84.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
83.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
81.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
81.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
80.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
78.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
70.1
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
69.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
69.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
61.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
56.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
55.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
55.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
47.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
41.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
39.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
35.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
32.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
31.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
23.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
21.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
18.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
16.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
15.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
15.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
13.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
8.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
7.2
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
7.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
6.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
3.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
2.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 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.
DPEP1 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
120.1
Number of samples
207
Samples
Sample
Description
TPM
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
881.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
580.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
580.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
447.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
397.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
395.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
367.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
362.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
357.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
348.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
337.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
337.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
337.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
332.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
328.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
326.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
325.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
322.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
311.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
307.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
296.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
284.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
282.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
282.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
278.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
274.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
268.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
268.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
262.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
259.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
254.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
244.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
243.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
242.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
239.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
231.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
231.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
230.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
227.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
221.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
218.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
218.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
215.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
214.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
204.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
203.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
199.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
192.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
186.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
176.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
175.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
169.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
169.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
166.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
162.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
159.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
158.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
158.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
153.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
149.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
146.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
145.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
143.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
141.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
140.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
134.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
132.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
131.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
128.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
128.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
127.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
124.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
122.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
121.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
121.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
119.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
116.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
116.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
115.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
113.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
112.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
111.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
111.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
110.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
108.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
106.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
106.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
104.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
104.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
102.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
98.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
95.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
95.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
93.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
93.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
92.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
92.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
89.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
88.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
88.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
88.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
87.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
87.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
85.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
83.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
80.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
80.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
79.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
76.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
75.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
74.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
72.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
71.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
69.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
68.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
64.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
63.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
62.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
59.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
58.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
57.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
56.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
55.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
54.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
52.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
52.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
50.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
50.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
49.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
49.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
49.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
48.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
48.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
47.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
47.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
47.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
44.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
44.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
41.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
40.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
37.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
37.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
36.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
34.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
34.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
34.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
31.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
31.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
30.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
29.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
29.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
29.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
26.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
24.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
23.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
23.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
22.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
22.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
22.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
22.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
20.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
20.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
19.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
19.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
19.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
19.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
17.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
16.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
16.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
15.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
15.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
15.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
15.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
15.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
14.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
14.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
13.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
12.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
12.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
11.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
10.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
10.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
10.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
9.7
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
9.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
9.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
8.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
7.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
7.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
6.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
6.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
5.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
5.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
4.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
4.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
3.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
3.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
3.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
2.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
2.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
2.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
2.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
1.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
1.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
1.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
1.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
0.2
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
3.6
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
2.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
2.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
1.9
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
1.9
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
1.7
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
1.7
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
1.7
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
1.6
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
1.6
4b263734-430f-41dc-a296-8691f0_D3
Tumor
1.5
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
1.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
1.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
1.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.9
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.8
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.8
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.8
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.6
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.6
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.6
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.5
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.5
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.5
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.4
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.5
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.5
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.5
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.5
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.5
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.6
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.6
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.6
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.7
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.7
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.7
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.7
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.7
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.7
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.7
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.8
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.8
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.8
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.8
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.8
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.8
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.8
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.8
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.8
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.8
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.8
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.8
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.8
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.8
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.8
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.8
b2400046-1d25-429d-a821-6040a6
Tumor
-0.8
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.8
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.9
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.9
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.9
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.9
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.9
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.9
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.9
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-1.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-1.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-1.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-1.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-1.0
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-1.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-1.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-1.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-1.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-1.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-1.0
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-1.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-1.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
-1.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-1.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-1.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-1.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-1.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-1.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-1.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-1.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-1.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-1.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-1.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-1.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-1.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-1.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-1.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-1.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-1.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-1.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-1.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-1.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-1.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-1.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-1.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-1.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-1.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-1.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-1.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-1.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-1.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-1.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-1.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-1.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-1.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-1.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-1.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-1.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-1.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-1.4
8cc7e656-0152-4359-8566-0581c3
Tumor
-1.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-1.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-1.4
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-1.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-1.4
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-1.4
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-1.4
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-1.4
82157a70-12f1-4913-b548-d98881_D2
Normal
-1.4
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-1.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-1.4
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-1.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-1.4
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-1.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-1.5
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-1.5
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-1.5
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-1.5
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-1.5
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-1.5
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-1.6
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-1.6
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-1.6
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-1.6
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-1.6
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-1.6
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-1.6
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-1.6
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-1.6
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-1.6
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-1.6
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-1.6
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-1.7
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-1.7
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-1.7
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-1.7
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-1.7
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-1.8
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-1.8
963fc8db-f412-4427-a198-23f660_D2
Normal
-1.8
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-1.8
47d2a435-b203-4438-ae72-53c424_D2
Normal
-2.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-2.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-2.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-2.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-2.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-2.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-2.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-2.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-2.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-2.4
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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.