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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.
RCC2 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
32.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
62.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
58.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
57.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
57.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
56.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
54.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
54.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
54.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
53.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
52.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
51.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
51.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
50.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
49.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
49.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
49.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
49.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
48.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
48.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
48.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
48.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
46.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
46.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
46.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
46.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
45.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
45.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
44.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
44.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
43.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
43.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
43.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
42.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
42.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
42.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
42.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
41.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
41.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
41.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
41.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
41.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
41.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
41.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
40.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
40.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
40.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
40.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
40.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
39.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
39.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
39.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
39.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
39.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
39.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
39.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
39.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
39.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
39.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
38.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
38.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
38.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
38.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
38.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
38.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
37.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
37.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
37.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
37.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
37.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
37.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
37.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
37.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
36.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
36.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
36.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
36.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
36.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
36.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
36.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
36.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
36.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
35.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
35.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
35.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
35.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
35.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
35.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
35.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
35.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
35.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
35.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
35.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
35.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
34.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
34.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
34.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
34.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
34.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
34.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
34.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
34.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
34.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
34.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
34.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
34.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
34.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
34.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
34.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
34.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
33.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
33.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
33.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
33.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
33.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
33.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
33.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
33.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
33.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
33.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
33.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
32.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
32.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
32.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
32.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
32.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
32.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
32.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
32.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
32.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
31.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
31.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
31.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
31.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
31.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
31.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
31.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
31.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
31.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
31.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
31.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
31.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
31.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
31.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
31.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
31.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
31.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
30.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
30.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
30.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
30.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
30.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
30.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
30.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
30.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
30.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
30.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
30.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
30.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
30.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
30.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
29.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
29.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
29.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
29.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
29.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
29.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
29.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
29.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
29.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
29.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
29.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
29.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
29.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
29.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
29.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
29.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
29.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
28.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
28.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
28.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
28.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
28.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
28.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
28.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
28.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
28.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
27.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
27.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
27.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
27.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
27.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
27.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
27.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
27.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
27.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
27.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
27.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
26.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
26.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
26.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
26.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
26.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
26.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
25.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
24.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
24.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
24.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
24.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
23.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
23.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
22.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
22.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
22.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
22.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
22.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
22.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
22.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
22.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
22.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
22.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
22.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
22.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
22.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
22.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
22.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
22.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
21.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
21.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
21.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
21.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
20.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
20.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
20.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
20.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
19.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
19.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
19.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
19.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
19.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
18.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
18.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
18.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
18.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
18.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
17.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
17.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
16.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
16.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
15.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
15.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
15.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
15.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 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.
RCC2 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
44.2
Number of samples
486
Samples
Sample
Description
TPM
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
89.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
87.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
84.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
82.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
80.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
78.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
76.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
76.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
75.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
75.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
74.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
73.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
73.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
72.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
72.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
72.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
71.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
71.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
68.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
68.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
68.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
68.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
68.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
67.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
67.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
67.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
67.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
67.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
67.2
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
66.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
66.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
66.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
65.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
65.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
65.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
65.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
65.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
64.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
64.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
64.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
63.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
63.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
63.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
62.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
62.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
62.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
62.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
62.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
61.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
61.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
61.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
61.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
61.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
61.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
60.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
60.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
60.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
60.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
60.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
59.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
59.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
59.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
59.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
59.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
59.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
58.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
58.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
58.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
58.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
58.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
58.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
57.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
57.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
57.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
57.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
57.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
56.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
56.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
56.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
56.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
56.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
56.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
55.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
55.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
55.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
55.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
55.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
55.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
55.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
55.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
55.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
54.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
54.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
54.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
54.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
54.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
54.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
53.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
53.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
53.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
53.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
53.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
53.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
53.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
53.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
53.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
53.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
53.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
53.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
52.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
52.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
52.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
52.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
52.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
52.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
52.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
52.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
52.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
52.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
52.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
51.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
51.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
51.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
51.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
51.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
51.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
51.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
51.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
51.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
51.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
50.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
50.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
50.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
50.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
50.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
50.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
50.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
50.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
50.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
50.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
50.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
50.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
50.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
49.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
49.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
49.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
49.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
49.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
49.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
49.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
49.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
49.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
49.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
49.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
48.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
48.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
48.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
48.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
48.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
48.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
48.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
48.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
48.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
48.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
48.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
48.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
48.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
48.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
47.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
47.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
47.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
47.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
47.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
47.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
47.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
47.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
47.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
47.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
47.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
47.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
47.0
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
46.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
46.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
46.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
46.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
46.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
46.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
46.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
46.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
46.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
45.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
45.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
45.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
45.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
45.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
45.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
45.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
45.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
45.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
45.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
45.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
45.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
45.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
45.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
45.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
45.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
44.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
44.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
44.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
44.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
44.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
44.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
44.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
44.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
44.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
44.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
44.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
43.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
43.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
43.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
43.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
43.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
43.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
43.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
43.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
43.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
43.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
43.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
43.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
43.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
43.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
43.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
43.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
42.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
42.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
42.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
42.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
42.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
42.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
42.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
42.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
42.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
42.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
42.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
42.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
42.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
42.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
42.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
42.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
42.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
42.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
41.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
41.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
41.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
41.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
41.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
41.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
41.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
41.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
41.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
41.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
41.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
40.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
40.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
40.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
40.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
40.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
40.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
40.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
40.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
40.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
40.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
40.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
40.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
40.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
40.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
40.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
40.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
40.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
40.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
40.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
40.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
40.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
40.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
40.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
40.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
40.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
40.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
39.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
39.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
39.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
39.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
39.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
39.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
39.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
39.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
39.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
39.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
39.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
39.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
39.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
39.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
39.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
39.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
39.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
39.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
39.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
39.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
38.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
38.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
38.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
38.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
38.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
38.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
38.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
38.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
38.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
38.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
38.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
38.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
37.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
37.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
37.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
37.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
37.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
37.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
37.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
37.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
37.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
37.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
37.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
37.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
37.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
36.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
36.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
36.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
36.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
36.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
36.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
36.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
36.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
36.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
36.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
36.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
36.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
36.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
36.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
36.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
36.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
36.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
36.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
35.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
35.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
35.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
35.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
35.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
35.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
35.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
35.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
35.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
35.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
35.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
35.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
35.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
35.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
35.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
35.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
35.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
34.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
34.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
34.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
34.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
34.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
34.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
34.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
34.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
34.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
34.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
34.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
33.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
33.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
33.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
33.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
33.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
33.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
33.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
33.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
33.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
33.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
33.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
33.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
33.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
33.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
33.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
33.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
33.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
32.9
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
32.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
32.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
32.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
32.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
32.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
32.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
32.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
32.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
32.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
32.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
32.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
32.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
32.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
31.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
31.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
31.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
31.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
31.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
31.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
31.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
31.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
31.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
31.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
31.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
31.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
31.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
31.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
31.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
31.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
31.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
30.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
30.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
30.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
30.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
30.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
30.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
30.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
30.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
30.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
30.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
30.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
30.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
29.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
29.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
29.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
29.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
29.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
29.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
29.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
29.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
28.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
28.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
28.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
28.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
28.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
28.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
28.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
27.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
27.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
27.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
27.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
27.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
27.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
26.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
26.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
26.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
26.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
26.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
26.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
26.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
26.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
25.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
25.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
25.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
24.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
24.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
23.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
23.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
23.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
22.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
22.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
20.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
20.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
20.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
19.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
18.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
15.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.3
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.
RCC2 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
33.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
69.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
59.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
59.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
59.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
58.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
57.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
54.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
54.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
53.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
51.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
51.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
50.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
50.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
49.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
48.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
48.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
47.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
47.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
45.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
45.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
45.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
43.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
42.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
42.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
42.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
41.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
41.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
39.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
38.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
38.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
36.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
36.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
36.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
36.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
35.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
34.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
34.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
33.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
33.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
32.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
32.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
32.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
31.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
30.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
30.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
29.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
28.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
28.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
28.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
28.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
28.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
27.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
27.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
26.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
25.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
25.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
24.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
24.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
24.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
24.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
23.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
23.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
23.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
23.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
23.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
23.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
22.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
22.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
22.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
21.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
21.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
21.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
20.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
20.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
19.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
19.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
19.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
19.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
18.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
17.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
17.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
17.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
16.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
16.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
15.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
14.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
13.9
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.
RCC2 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
40.4
Number of samples
207
Samples
Sample
Description
TPM
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
79.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
78.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
76.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
70.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
69.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
68.3
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
67.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
65.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
64.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
62.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
61.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
60.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
60.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
60.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
59.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
58.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
58.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
56.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
56.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
56.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
56.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
56.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
56.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
55.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
55.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
54.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
54.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
54.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
53.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
53.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
52.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
52.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
52.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
52.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
51.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
51.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
51.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
51.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
51.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
51.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
51.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
51.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
50.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
50.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
50.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
50.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
49.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
49.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
49.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
49.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
49.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
48.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
48.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
48.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
47.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
47.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
47.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
47.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
46.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
46.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
46.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
45.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
45.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
45.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
44.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
44.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
44.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
44.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
43.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
43.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
43.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
42.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
42.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
42.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
42.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
42.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
42.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
42.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
42.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
41.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
41.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
41.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
41.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
41.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
41.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
41.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
40.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
40.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
40.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
40.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
40.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
40.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
40.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
40.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
39.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
39.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
39.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
39.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
39.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
38.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
38.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
38.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
38.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
38.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
38.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
38.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
38.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
38.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
38.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
38.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
38.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
37.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
37.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
37.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
37.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
37.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
37.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
37.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
37.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
36.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
36.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
36.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
36.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
36.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
36.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
36.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
36.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
36.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
36.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
35.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
35.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
35.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
34.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
34.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
34.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
34.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
34.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
34.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
34.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
34.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
33.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
33.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
33.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
33.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
33.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
33.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
32.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
32.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
32.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
32.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
32.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
32.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
31.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
31.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
31.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
31.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
31.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
31.1
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
31.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
30.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
30.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
30.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
30.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
30.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
30.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
30.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
30.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
29.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
29.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
29.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
29.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
29.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
29.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
29.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
28.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
28.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
28.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
28.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
28.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
28.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
28.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
27.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
27.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
27.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
27.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
26.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
26.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
25.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
25.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
25.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
25.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
25.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
24.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
24.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
24.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
24.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
23.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
23.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
23.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
23.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
23.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
23.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
21.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
20.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
20.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
19.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
12.5
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.9
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.9
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.8
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.8
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.7
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.7
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.6
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.6
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.6
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.6
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.6
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.5
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.5
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.5
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.5
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.5
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.4
43192517-085e-450e-9481-0a6713_D3
Tumor
0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.4
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.4
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.4
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.4
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.4
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.4
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.4
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.4
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.4
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.4
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.4
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.5
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.5
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.5
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.5
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.5
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.5
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.5
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.5
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.5
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.5
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.5
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.5
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.5
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.5
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.5
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.5
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.5
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.5
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.5
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.5
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.5
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.5
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.5
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.6
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.6
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.6
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.6
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.6
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.6
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.6
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.6
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.6
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.6
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.6
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.6
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.6
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.6
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.7
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.7
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.7
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.7
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.7
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.7
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.7
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.7
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.7
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.8
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.8
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.8
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.8
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.8
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.9
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-1.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-1.2
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.