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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.
TXNDC17 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
52.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
146.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
131.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
128.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
120.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
120.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
118.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
113.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
111.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
111.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
109.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
105.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
105.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
99.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
98.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
96.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
96.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
95.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
90.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
88.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
86.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
86.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
86.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
86.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
84.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
82.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
82.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
81.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
81.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
78.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
78.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
78.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
77.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
77.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
76.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
76.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
75.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
75.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
75.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
75.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
75.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
74.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
73.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
72.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
72.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
70.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
69.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
69.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
68.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
67.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
66.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
66.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
65.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
65.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
64.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
64.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
64.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
64.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
63.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
63.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
63.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
62.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
62.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
62.5
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
62.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
61.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
61.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
61.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
61.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
60.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
60.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
59.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
59.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
58.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
57.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
57.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
57.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
56.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
56.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
55.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
55.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
55.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
55.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
55.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
55.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
55.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
55.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
54.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
54.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
54.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
54.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
54.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
54.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
53.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
53.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
53.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
53.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
53.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
52.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
52.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
52.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
51.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
51.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
51.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
51.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
51.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
51.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
51.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
51.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
51.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
50.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
50.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
50.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
50.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
50.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
49.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
49.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
49.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
49.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
49.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
49.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
48.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
48.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
48.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
48.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
47.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
47.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
47.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
47.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
47.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
47.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
47.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
47.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
47.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
47.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
46.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
46.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
46.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
45.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
45.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
45.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
45.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
45.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
45.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
45.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
45.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
44.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
44.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
44.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
44.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
44.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
43.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
43.8
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
43.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
43.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
43.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
43.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
42.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
42.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
42.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
42.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
42.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
42.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
42.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
42.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
42.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
41.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
41.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
41.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
41.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
41.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
40.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
40.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
40.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
40.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
40.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
40.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
39.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
39.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
38.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
38.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
38.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
38.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
38.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
38.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
38.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
38.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
37.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
37.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
37.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
37.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
37.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
37.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
37.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
36.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
36.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
36.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
36.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
36.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
36.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
36.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
36.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
35.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
35.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
35.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
35.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
34.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
34.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
34.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
33.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
33.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
33.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
32.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
32.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
32.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
32.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
32.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
31.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
31.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
31.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
31.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
31.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
31.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
30.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
30.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
30.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
29.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
29.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
29.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
29.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
28.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
28.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
28.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
27.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
27.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
27.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
27.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
27.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
27.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
26.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
26.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
26.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
26.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
25.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
25.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
25.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
24.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
24.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
23.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
23.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
23.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
22.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 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.
TXNDC17 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
13.8
Number of samples
486
Samples
Sample
Description
TPM
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
35.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
35.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
33.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
31.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
31.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
30.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
30.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
29.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
29.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
28.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
28.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
28.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
28.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
28.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
28.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
27.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
27.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
27.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
27.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
26.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
26.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
26.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
26.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
25.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
25.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
25.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
25.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
25.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
25.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
24.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
24.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
24.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
24.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
24.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
24.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
24.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
24.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
24.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
23.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
23.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
23.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
23.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
23.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
23.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
22.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
22.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
22.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
22.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
22.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
21.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
21.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
21.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
21.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
21.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
21.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
21.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
21.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
21.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
21.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
21.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
21.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
21.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
21.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
20.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
20.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
20.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
20.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
20.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
20.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
20.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
20.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
20.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
20.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
20.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
20.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
20.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
20.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
19.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
19.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
19.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
19.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
19.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
19.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
19.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
19.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
19.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
19.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
19.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
19.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
18.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
18.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
18.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
18.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
18.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
18.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
18.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
18.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
18.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
18.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
18.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
18.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
18.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
18.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
18.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
17.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
17.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
17.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
17.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
17.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
17.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
17.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
17.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
17.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
17.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
17.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
17.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
17.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
17.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
17.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
17.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
17.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
17.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
17.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
17.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
17.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
17.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
17.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
17.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
16.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
16.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
16.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
16.7
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
16.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
16.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
16.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
16.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
16.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
16.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
16.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
16.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
16.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
16.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
16.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
16.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
16.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
16.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
16.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
16.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
16.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
16.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
16.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
16.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
16.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
16.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
16.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
16.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
16.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
16.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
16.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
15.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
15.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
15.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
15.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
15.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
15.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
15.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
15.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
15.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
15.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
15.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
15.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
15.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
15.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
15.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
15.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
15.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
15.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
15.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
15.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
15.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
15.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
15.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
15.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
15.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
15.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
14.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
14.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
14.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
14.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
14.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
14.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
14.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
14.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
14.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
14.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
14.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
14.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
14.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
14.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
14.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
14.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
14.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
14.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
14.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
14.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
14.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
14.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
14.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
14.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
14.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
14.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
14.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
14.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
14.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
14.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
14.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
13.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
13.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
13.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
13.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
13.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
13.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
13.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
13.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
13.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
13.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
13.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
13.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
13.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
13.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
13.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
13.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
13.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
13.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
13.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
13.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
13.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
13.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
13.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
13.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
13.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
13.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
13.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
13.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
13.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
13.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
13.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
13.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
12.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
12.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
12.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
12.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
12.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
12.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
12.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
12.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
12.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
12.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
12.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
12.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
12.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
12.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
12.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
12.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
12.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
12.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
12.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
12.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
12.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
12.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
12.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
12.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
12.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
12.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
12.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
12.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
12.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
12.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
11.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
11.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
11.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
11.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
11.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
11.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
11.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
11.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
11.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
11.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
11.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
11.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
11.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
11.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
11.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
11.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
11.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
11.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
11.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
11.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
11.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
11.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
11.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
11.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
11.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
11.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
11.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
11.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
11.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
11.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
11.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
10.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
10.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
10.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
10.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
10.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
10.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
10.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
10.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
10.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
10.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
10.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
10.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
10.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
10.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
10.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
10.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
10.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
10.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
10.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
10.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
10.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
10.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
10.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
10.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
10.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
10.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
10.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
10.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
10.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
10.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
10.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
9.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
9.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
9.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
9.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
9.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
9.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
9.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
9.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
9.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
9.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
9.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
9.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
9.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
9.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
9.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
9.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
9.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
9.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
9.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
9.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
9.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
9.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
9.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
9.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
9.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
9.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
9.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
9.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
9.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
9.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
9.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
9.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
9.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
9.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
9.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
9.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
8.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
8.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
8.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
8.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
8.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
8.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
8.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
8.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
8.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
8.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
8.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
8.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
8.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
8.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
8.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
8.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
8.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
8.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
8.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
8.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
8.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
8.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
8.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
8.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
8.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
8.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
8.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
8.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
8.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
8.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
8.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
7.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
7.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
7.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
7.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
7.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
7.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
7.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
7.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
7.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
7.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
7.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
7.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
7.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
7.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
7.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
7.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
7.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
7.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
7.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
7.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
7.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
7.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
6.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
6.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
6.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
6.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
6.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
6.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
6.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
6.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
6.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
6.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
6.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
6.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
6.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
6.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
6.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
6.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
6.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
6.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
6.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
6.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
6.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
6.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
5.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
5.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
5.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
5.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
5.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
5.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
5.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
5.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
5.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
5.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
5.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
5.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
5.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
5.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
5.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
5.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
5.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
4.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
4.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
4.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
4.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
4.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
4.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
4.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
3.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
3.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
3.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
3.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
3.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
2.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
2.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
2.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
2.3
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.1
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.
TXNDC17 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
51.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
184.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
113.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
100.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
93.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
93.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
90.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
86.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
83.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
81.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
75.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
71.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
69.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
68.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
67.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
66.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
66.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
64.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
63.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
62.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
61.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
61.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
61.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
61.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
59.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
59.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
57.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
55.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
55.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
54.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
54.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
53.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
53.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
53.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
52.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
51.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
50.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
50.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
49.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
49.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
48.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
48.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
48.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
48.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
47.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
46.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
46.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
46.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
45.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
45.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
44.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
43.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
43.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
42.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
42.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
42.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
41.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
41.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
40.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
40.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
40.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
39.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
39.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
39.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
39.0
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
38.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
36.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
35.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
34.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
33.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
33.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
32.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
31.8
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
31.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
31.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
30.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
30.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
28.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
28.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
27.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
27.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
27.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
26.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
26.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
25.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
24.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
21.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
19.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 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.
TXNDC17 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
11.3
Number of samples
207
Samples
Sample
Description
TPM
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
30.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
27.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
27.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
26.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
26.7
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
25.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
24.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
24.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
24.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
23.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
23.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
23.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
22.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
22.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
22.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
21.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
20.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
20.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
19.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
19.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
19.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
18.9
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
18.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
18.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
18.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
18.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
18.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
17.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
16.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
16.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
16.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
16.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
15.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
15.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
15.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
15.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
15.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
15.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
15.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
15.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
15.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
14.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
14.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
14.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
14.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
14.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
14.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
14.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
14.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
14.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
14.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
13.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
13.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
13.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
13.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
13.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
13.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
13.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
13.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
13.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
13.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
13.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
13.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
13.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
13.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
13.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
13.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
12.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
12.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
12.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
12.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
12.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
12.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
12.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
12.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
12.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
12.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
12.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
12.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
12.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
12.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
12.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
12.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
12.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
11.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
11.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
11.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
11.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
11.4
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
11.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
11.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
11.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
11.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
11.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
10.9
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
10.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
10.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
10.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
10.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
10.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
10.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
10.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
10.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
10.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
10.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
10.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
10.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
10.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
10.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
10.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
9.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
9.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
9.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
9.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
9.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
9.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
9.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
9.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
9.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
9.4
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
9.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
9.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
9.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
9.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
9.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
9.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
9.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
8.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
8.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
8.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
8.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
8.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
8.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
8.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
8.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
8.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
8.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
8.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
8.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
8.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
8.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
8.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
8.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
8.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
8.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
8.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
7.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
7.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
7.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
7.6
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
7.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
7.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
7.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
7.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
7.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
7.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
7.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
7.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
7.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
7.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
7.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
6.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
6.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
6.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
6.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
6.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
6.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
6.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
6.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
6.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
6.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
6.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
6.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
6.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
6.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
5.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
5.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
5.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
5.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
5.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
5.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
5.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
5.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
4.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
4.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
4.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
4.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
4.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
4.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
4.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
4.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
4.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
4.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
4.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
4.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
4.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
4.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
4.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
3.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
3.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
3.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
3.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
2.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
2.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
2.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
2.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
1.9
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.9
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.7
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.7
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.5
43192517-085e-450e-9481-0a6713_D3
Tumor
0.5
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.5
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.5
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.5
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.5
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
0.4
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.4
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.4
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.4
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.4
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.4
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.4
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Normal
-0.5
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.5
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.5
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.5
b2400046-1d25-429d-a821-6040a6
Tumor
-0.6
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.6
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.7
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.7
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.9
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.9
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
