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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.
SRSF4 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
49.5
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
100.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
83.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
80.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
77.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
73.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
72.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
72.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
72.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
72.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
71.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
70.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
70.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
68.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
67.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
67.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
67.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
65.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
65.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
64.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
64.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
64.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
64.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
64.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
64.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
63.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
63.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
62.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
62.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
62.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
62.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
62.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
62.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
62.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
62.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
62.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
62.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
62.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
62.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
62.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
62.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
61.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
61.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
61.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
61.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
60.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
60.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
60.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
60.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
60.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
59.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
59.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
59.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
59.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
59.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
59.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
59.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
58.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
58.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
58.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
58.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
58.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
58.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
57.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
57.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
57.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
57.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
57.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
57.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
57.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
57.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
57.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
57.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
57.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
56.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
56.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
56.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
56.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
56.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
55.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
55.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
55.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
55.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
55.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
55.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
55.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
55.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
55.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
55.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
55.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
54.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
54.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
54.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
54.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
54.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
54.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
54.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
54.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
54.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
53.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
53.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
53.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
53.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
53.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
52.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
52.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
52.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
52.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
52.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
52.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
52.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
52.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
51.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
51.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
51.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
51.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
51.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
51.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
50.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
50.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
50.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
50.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
49.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
49.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
49.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
49.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
49.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
49.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
49.1
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
49.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
48.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
48.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
48.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
48.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
48.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
48.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
48.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
47.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
47.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
47.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
47.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
47.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
47.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
47.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
47.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
47.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
47.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
47.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
47.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
47.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
46.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
46.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
46.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
46.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
46.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
45.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
45.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
45.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
45.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
45.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
45.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
45.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
45.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
44.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
44.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
44.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
44.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
44.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
44.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
44.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
44.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
44.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
44.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
44.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
44.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
44.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
44.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
43.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
43.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
43.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
43.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
43.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
43.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
43.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
43.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
42.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
42.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
42.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
42.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
42.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
42.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
41.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
41.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
41.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
41.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
41.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
41.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
40.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
40.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
40.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
40.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
40.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
40.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
40.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
39.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
39.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
39.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
38.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
37.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
37.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
37.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
37.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
37.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
37.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
37.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
36.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
36.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
36.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
36.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
36.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
36.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
36.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
36.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
36.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
35.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
35.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
35.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
35.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
35.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
34.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
34.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
34.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
34.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
33.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
32.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
32.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
32.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
31.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
31.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
31.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
29.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
29.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
28.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
28.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
28.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
28.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
28.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
26.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
26.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
26.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
23.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
19.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
17.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
15.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SRSF4 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
36.9
Number of samples
486
Samples
Sample
Description
TPM
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
65.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
65.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
60.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
60.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
60.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
60.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
60.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
60.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
56.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
56.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
56.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
55.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
55.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
54.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
52.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
52.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
52.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
51.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
51.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
51.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
51.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
51.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
50.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
50.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
50.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
49.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
49.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
49.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
49.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
49.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
49.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
49.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
48.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
48.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
48.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
48.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
48.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
48.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
48.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
48.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
48.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
47.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
47.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
47.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
47.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
47.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
47.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
47.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
47.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
47.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
47.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
47.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
47.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
46.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
46.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
46.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
46.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
46.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
46.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
46.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
46.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
46.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
46.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
46.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
46.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
46.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
46.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
46.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
46.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
45.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
45.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
45.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
45.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
45.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
45.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
45.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
45.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
45.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
45.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
45.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
45.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
45.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
45.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
44.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
44.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
44.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
44.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
44.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
44.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
44.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
44.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
44.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
44.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
44.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
44.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
44.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
44.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
44.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
44.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
44.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
44.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
43.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
43.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
43.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
43.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
43.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
43.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
43.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
43.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
43.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
43.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
43.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
43.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
43.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
43.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
43.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
43.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
43.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
42.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
42.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
42.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
42.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
42.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
42.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
42.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
42.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
42.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
42.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
42.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
42.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
42.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
42.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
42.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
42.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
41.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
41.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
41.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
41.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
41.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
41.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
41.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
41.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
41.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
41.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
41.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
41.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
41.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
41.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
41.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
41.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
41.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
41.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
41.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
41.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
41.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
41.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
41.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
41.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
40.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
40.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
40.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
40.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
40.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
40.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
40.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
40.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
40.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
40.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
40.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
40.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
40.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
40.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
40.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
40.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
40.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
39.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
39.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
39.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
39.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
39.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
39.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
39.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
39.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
39.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
39.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
39.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
39.3
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
39.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
39.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
39.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
39.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
38.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
38.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
38.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
38.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
38.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
38.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
38.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
38.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
38.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
38.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
38.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
38.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
38.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
38.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
38.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
38.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
38.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
38.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
38.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
38.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
38.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
37.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
37.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
37.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
37.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
37.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
37.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
37.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
37.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
37.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
37.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
37.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
37.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
37.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
37.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
37.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
37.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
37.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
37.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
37.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
37.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
37.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
36.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
36.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
36.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
36.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
36.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
36.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
36.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
36.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
36.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
36.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
36.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
36.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
36.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
36.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
36.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
36.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
36.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
36.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
36.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
36.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
36.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
35.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
35.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
35.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
35.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
35.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
35.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
35.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
35.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
35.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
35.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
35.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
35.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
35.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
35.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
35.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
35.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
35.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
35.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
35.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
35.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
35.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
35.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
35.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
35.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
35.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
35.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
34.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
34.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
34.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
34.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
34.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
34.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
34.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
34.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
34.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
34.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
34.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
34.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
34.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
34.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
34.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
34.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
34.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
34.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
33.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
33.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
33.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
33.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
33.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
33.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
33.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
33.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
33.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
33.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
33.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
33.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
33.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
33.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
33.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
33.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
33.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
33.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
33.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
33.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
33.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
33.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
32.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
32.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
32.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
32.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
32.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
32.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
32.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
32.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
32.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
32.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
32.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
32.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
32.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
32.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
32.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
32.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
32.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
32.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
32.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
31.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
31.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
31.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
31.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
31.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
31.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
31.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
31.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
31.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
31.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
31.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
31.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
31.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
31.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
31.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
31.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
31.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
31.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
31.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
31.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
31.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
31.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
31.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
31.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
31.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
31.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
31.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
31.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
30.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
30.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
30.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
30.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
30.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
30.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
30.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
30.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
30.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
30.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
30.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
30.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
30.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
30.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
30.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
30.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
30.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
30.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
30.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
30.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
30.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
30.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
29.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
29.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
29.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
29.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
29.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
29.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
29.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
29.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
29.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
29.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
29.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
29.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
29.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
29.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
29.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
28.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
28.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
28.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
28.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
28.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
28.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
28.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
28.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
28.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
28.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
28.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
28.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
28.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
28.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
28.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
28.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
28.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
28.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
28.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
28.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
28.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
27.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
27.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
27.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
27.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
27.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
27.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
27.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
27.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
27.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
27.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
27.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
27.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
27.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
27.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
27.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
27.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
27.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
27.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
27.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
27.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
26.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
26.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
26.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
26.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
26.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
26.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
26.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
25.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
25.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
25.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
25.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
25.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
24.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
24.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
24.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
24.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
24.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
24.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
24.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
24.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
23.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
23.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
23.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
23.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
23.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
22.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
22.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
22.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
22.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
21.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
21.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
21.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
21.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
21.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
19.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
19.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
17.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
17.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
16.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
4.4
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.
SRSF4 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
49.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
90.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
86.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
82.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
75.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
74.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
74.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
74.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
73.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
71.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
69.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
67.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
66.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
65.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
65.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
65.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
64.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
64.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
63.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
61.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
60.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
57.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
57.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
56.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
56.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
56.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
55.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
55.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
55.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
55.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
54.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
54.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
54.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
53.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
53.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
53.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
52.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
51.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
51.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
50.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
50.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
49.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
49.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
48.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
48.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
48.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
48.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
47.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
47.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
47.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
46.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
45.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
45.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
44.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
44.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
44.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
44.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
42.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
42.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
41.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
40.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
40.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
40.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
39.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
39.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
38.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
38.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
37.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
37.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
36.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
36.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
36.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
35.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
35.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
35.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
35.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
35.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
34.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
34.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
33.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
32.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
31.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
26.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
25.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
25.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
23.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
22.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
21.9
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SRSF4 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
32.8
Number of samples
207
Samples
Sample
Description
TPM
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
55.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
54.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
53.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
52.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
50.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
50.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
49.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
49.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
48.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
47.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
47.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
47.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
46.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
45.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
45.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
45.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
44.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
44.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
44.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
43.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
43.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
43.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
42.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
42.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
42.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
41.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
41.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
41.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
41.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
41.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
41.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
40.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
40.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
40.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
40.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
40.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
40.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
40.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
39.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
39.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
39.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
39.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
39.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
38.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
38.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
38.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
38.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
38.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
38.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
38.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
38.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
38.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
38.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
37.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
37.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
37.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
37.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
37.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
37.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
36.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
36.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
36.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
36.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
36.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
36.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
36.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
36.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
36.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
35.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
35.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
35.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
35.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
35.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
35.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
35.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
35.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
35.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
34.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
34.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
34.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
34.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
34.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
33.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
33.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
33.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
33.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
33.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
33.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
33.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
33.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
33.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
33.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
33.4
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
33.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
33.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
33.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
33.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
33.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
33.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
32.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
32.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
32.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
32.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
32.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
32.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
32.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
32.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
32.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
32.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
32.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
31.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
31.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
31.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
31.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
31.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
31.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
31.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
31.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
30.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
30.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
30.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
30.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
30.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
30.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
30.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
30.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
30.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
30.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
29.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
29.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
29.8
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
29.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
29.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
29.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
29.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
29.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
29.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
29.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
28.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
28.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
28.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
28.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
28.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
28.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
28.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
28.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
28.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
28.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
28.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
28.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
27.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
27.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
27.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
27.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
27.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
27.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
27.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
27.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
27.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
27.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
27.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
26.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
26.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
26.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
26.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
26.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
26.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
26.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
25.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
25.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
25.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
25.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
24.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
24.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
24.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
24.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
24.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
24.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
24.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
24.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
24.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
24.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
23.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
23.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
23.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
23.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
23.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
23.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
23.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
23.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
23.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
23.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
22.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
22.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
22.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
21.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
21.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
21.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
20.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
20.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
20.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
18.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
18.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
17.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
17.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
13.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
2.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.7
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.6
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.6
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.6
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.5
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.5
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.5
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.5
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.5
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.5
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.5
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.5
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.4
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.4
43192517-085e-450e-9481-0a6713_D3
Tumor
0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.4
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.4
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.4
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.5
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.5
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.5
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.5
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.6
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.6
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.6
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.6
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.6
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.7
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.8
b2400046-1d25-429d-a821-6040a6
Tumor
-1.1
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.