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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.
SRSF6 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
34.5
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
81.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
73.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
63.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
61.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
60.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
59.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
58.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
58.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
57.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
57.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
56.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
56.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
54.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
54.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
53.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
53.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
52.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
52.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
51.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
51.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
50.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
49.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
49.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
49.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
48.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
48.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
47.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
47.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
47.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
46.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
46.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
45.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
45.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
44.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
44.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
44.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
44.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
44.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
44.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
44.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
43.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
43.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
42.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
42.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
42.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
42.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
42.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
42.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
42.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
42.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
42.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
42.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
42.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
42.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
42.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
42.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
42.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
41.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
41.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
41.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
41.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
41.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
40.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
40.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
40.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
40.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
40.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
40.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
40.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
40.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
39.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
39.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
39.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
39.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
39.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
39.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
39.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
39.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
39.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
38.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
38.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
38.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
38.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
38.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
38.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
38.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
38.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
38.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
37.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
37.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
37.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
37.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
37.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
37.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
37.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
36.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
36.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
36.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
36.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
36.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
36.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
36.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
36.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
36.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
35.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
35.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
35.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
35.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
35.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
35.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
34.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
34.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
34.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
34.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
34.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
34.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
34.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
34.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
34.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
33.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
33.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
33.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
33.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
33.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
33.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
33.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
32.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
32.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
32.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
32.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
32.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
32.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
32.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
32.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
32.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
32.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
32.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
32.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
31.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
31.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
31.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
31.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
31.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
31.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
31.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
31.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
31.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
31.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
31.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
30.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
30.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
30.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
30.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
30.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
30.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
30.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
29.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
29.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
29.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
29.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
29.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
29.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
29.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
29.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
29.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
29.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
29.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
29.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
28.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
28.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
28.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
28.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
28.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
28.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
28.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
28.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
28.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
28.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
28.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
28.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
28.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
28.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
28.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
28.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
27.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
27.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
27.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
27.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
27.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
27.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
27.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
27.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
27.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
26.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
26.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
26.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
26.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
26.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
25.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
25.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
25.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
25.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
25.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
25.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
25.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
25.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
25.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
24.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
24.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
24.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
24.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
24.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
24.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
24.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
24.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
24.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
23.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
23.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
23.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
23.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
23.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
23.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
23.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
23.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
22.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
22.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
22.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
22.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
22.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
22.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
22.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
21.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
21.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
20.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
20.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
20.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
20.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
20.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
20.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
20.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
20.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
19.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
19.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
19.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
19.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
19.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
19.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
18.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
18.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
18.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
17.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
16.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
15.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 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.
SRSF6 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
64.3
Number of samples
486
Samples
Sample
Description
TPM
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
139.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
135.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
131.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
115.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
115.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
111.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
111.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
106.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
105.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
105.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
103.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
102.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
100.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
100.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
99.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
99.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
99.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
97.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
96.9
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
96.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
95.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
95.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
94.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
94.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
93.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
92.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
92.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
91.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
91.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
90.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
90.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
90.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
89.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
89.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
88.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
88.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
88.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
88.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
87.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
86.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
86.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
86.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
86.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
85.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
85.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
85.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
85.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
85.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
85.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
85.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
84.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
84.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
83.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
83.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
83.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
82.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
82.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
82.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
82.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
82.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
82.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
82.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
82.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
81.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
81.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
81.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
80.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
80.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
80.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
80.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
79.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
79.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
79.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
79.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
79.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
79.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
79.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
79.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
79.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
79.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
79.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
79.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
79.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
78.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
78.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
78.8
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
78.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
78.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
78.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
78.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
78.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
77.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
77.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
77.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
77.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
77.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
77.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
77.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
77.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
77.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
77.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
76.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
76.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
76.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
76.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
76.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
76.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
76.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
75.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
75.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
75.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
75.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
75.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
75.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
75.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
74.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
74.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
74.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
74.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
74.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
74.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
73.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
73.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
73.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
73.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
73.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
73.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
73.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
73.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
73.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
73.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
73.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
73.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
72.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
72.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
72.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
72.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
72.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
72.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
72.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
72.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
71.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
71.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
71.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
71.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
71.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
71.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
71.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
70.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
70.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
70.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
70.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
70.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
70.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
70.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
70.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
69.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
69.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
69.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
69.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
69.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
69.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
69.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
69.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
68.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
68.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
68.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
68.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
68.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
68.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
68.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
68.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
68.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
68.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
68.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
68.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
68.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
67.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
67.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
67.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
67.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
67.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
67.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
67.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
67.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
67.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
67.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
67.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
67.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
67.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
67.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
67.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
66.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
66.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
66.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
66.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
66.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
66.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
66.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
65.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
65.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
65.4
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
65.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
65.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
65.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
65.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
65.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
64.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
64.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
64.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
64.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
64.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
64.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
64.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
64.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
64.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
63.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
63.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
63.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
63.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
63.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
63.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
63.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
63.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
63.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
63.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
63.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
63.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
63.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
63.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
63.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
63.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
63.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
62.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
62.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
62.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
62.8
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
62.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
62.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
62.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
62.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
62.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
62.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
62.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
62.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
62.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
62.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
62.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
62.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
62.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
62.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
61.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
61.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
61.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
61.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
61.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
61.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
61.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
61.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
61.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
61.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
61.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
61.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
61.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
60.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
60.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
60.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
60.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
60.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
60.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
60.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
60.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
60.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
60.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
60.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
60.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
59.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
59.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
59.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
59.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
59.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
59.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
59.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
59.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
59.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
59.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
59.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
59.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
59.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
59.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
59.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
59.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
58.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
58.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
58.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
58.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
58.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
58.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
58.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
58.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
58.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
58.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
58.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
58.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
58.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
58.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
58.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
58.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
58.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
57.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
57.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
57.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
57.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
57.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
57.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
57.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
57.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
57.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
57.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
57.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
57.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
57.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
56.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
56.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
56.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
56.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
56.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
56.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
55.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
55.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
55.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
55.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
55.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
55.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
55.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
54.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
54.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
54.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
54.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
54.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
54.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
54.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
54.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
54.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
54.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
53.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
53.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
53.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
53.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
53.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
53.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
53.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
53.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
53.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
53.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
52.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
52.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
52.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
52.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
52.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
52.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
52.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
52.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
52.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
52.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
52.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
52.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
51.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
51.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
51.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
51.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
51.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
51.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
51.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
51.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
51.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
51.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
51.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
51.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
51.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
51.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
51.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
51.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
51.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
50.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
50.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
50.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
50.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
50.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
50.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
50.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
50.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
50.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
50.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
50.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
50.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
49.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
49.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
49.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
49.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
49.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
49.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
49.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
49.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
49.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
49.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
48.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
48.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
48.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
48.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
48.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
48.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
48.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
48.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
48.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
48.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
48.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
48.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
48.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
47.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
47.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
47.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
47.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
47.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
47.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
47.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
47.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
46.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
46.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
46.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
46.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
46.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
46.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
46.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
46.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
46.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
46.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
45.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
45.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
45.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
45.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
45.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
45.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
45.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
45.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
45.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
45.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
45.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
45.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
44.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
44.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
44.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
44.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
43.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
43.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
43.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
43.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
43.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
43.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
43.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
42.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
42.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
42.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
42.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
41.9
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
41.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
41.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
41.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
41.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
41.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
41.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
41.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
39.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
39.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
38.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
38.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
37.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
35.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
35.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
34.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
34.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
33.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
33.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
24.3
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.4
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.
SRSF6 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
38.5
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
70.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
69.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
68.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
66.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
63.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
63.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
54.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
53.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
52.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
51.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
50.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
49.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
49.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
48.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
47.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
46.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
46.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
46.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
46.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
45.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
45.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
45.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
44.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
44.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
44.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
44.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
43.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
43.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
41.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
41.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
41.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
41.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
40.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
40.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
39.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
39.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
39.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
39.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
38.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
38.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
38.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
37.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
37.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
37.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
37.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
37.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
36.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
35.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
35.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
35.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
34.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
33.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
33.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
33.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
33.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
33.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
33.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
33.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
32.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
32.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
32.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
31.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
31.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
31.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
31.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
31.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
30.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
30.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
30.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
30.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
29.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
28.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
28.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
28.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
27.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
27.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
26.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
25.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
25.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
25.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
24.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
23.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
23.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
22.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
21.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
21.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
20.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 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.
SRSF6 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
67.9
Number of samples
207
Samples
Sample
Description
TPM
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
117.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
117.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
111.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
101.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
99.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
99.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
99.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
97.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
97.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
97.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
97.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
96.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
96.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
95.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
95.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
94.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
92.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
91.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
91.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
90.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
89.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
89.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
89.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
88.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
88.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
88.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
88.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
87.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
87.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
87.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
87.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
87.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
86.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
86.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
86.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
85.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
85.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
85.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
84.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
84.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
84.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
84.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
84.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
83.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
83.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
83.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
83.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
83.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
82.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
82.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
81.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
80.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
80.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
80.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
78.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
78.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
78.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
78.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
78.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
77.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
77.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
77.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
76.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
76.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
76.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
75.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
75.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
74.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
74.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
74.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
74.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
74.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
73.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
72.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
72.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
71.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
70.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
70.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
70.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
69.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
69.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
69.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
69.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
69.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
69.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
69.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
68.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
68.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
68.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
67.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
67.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
67.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
67.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
67.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
67.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
67.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
67.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
67.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
67.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
67.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
67.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
67.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
66.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
66.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
66.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
66.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
66.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
66.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
66.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
65.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
65.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
65.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
64.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
64.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
64.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
64.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
63.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
63.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
63.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
63.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
63.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
63.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
63.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
62.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
62.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
62.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
62.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
62.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
62.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
62.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
61.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
61.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
61.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
61.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
60.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
60.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
60.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
60.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
60.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
60.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
60.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
60.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
59.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
59.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
59.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
58.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
58.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
58.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
58.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
57.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
57.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
57.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
57.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
57.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
57.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
56.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
56.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
56.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
56.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
56.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
55.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
55.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
54.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
54.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
53.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
53.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
53.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
52.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
52.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
52.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
52.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
51.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
51.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
50.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
50.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
50.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
49.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
49.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
48.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
48.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
48.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
47.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
47.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
47.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
47.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
46.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
46.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
46.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
46.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
45.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
45.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
45.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
44.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
43.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
42.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
41.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
41.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
40.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
39.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
39.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
38.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
37.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
37.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
36.6
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
34.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
32.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
23.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.8
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.7
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.7
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.6
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.6
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.6
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.6
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.6
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.6
43192517-085e-450e-9481-0a6713_D3
Tumor
0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.5
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.5
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.5
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.5
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.4
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.4
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.4
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.4
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.5
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.5
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.5
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.5
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.5
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.5
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.5
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.5
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.5
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.5
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.5
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.5
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.5
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.6
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.6
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.6
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.6
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.6
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.6
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.6
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.6
b2400046-1d25-429d-a821-6040a6
Tumor
-0.7
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.7
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.7
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.7
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.7
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.7
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.8
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.8
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.9
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.9
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-1.0
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-1.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-1.3
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
