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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.
PIK3R1 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
11.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
55.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
41.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
33.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
31.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
29.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
27.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
26.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
25.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
25.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
24.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
24.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
24.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
23.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
23.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
22.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
21.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
21.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
21.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
21.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
20.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
20.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
20.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
20.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
20.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
20.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
20.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
20.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
19.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
19.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
19.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
19.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
18.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
18.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
18.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
18.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
18.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
17.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
16.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
16.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
16.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
16.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
16.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
16.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
16.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
16.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
16.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
16.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
16.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
15.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
15.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
15.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
15.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
15.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
15.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
14.9
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
14.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
14.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
14.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
14.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
14.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
14.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
14.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
14.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
14.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
14.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
14.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
14.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
13.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
13.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
13.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
13.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
13.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
13.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
13.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
13.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
13.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
13.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
12.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
12.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
12.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
12.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
12.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
12.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
12.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
12.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
12.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
12.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
12.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
11.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
11.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
11.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
11.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
11.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
11.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
11.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
11.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
11.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
11.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
11.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
11.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
11.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
11.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
10.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
10.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
10.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
10.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
10.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
10.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
10.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
10.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
10.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
10.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
10.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
10.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
10.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
10.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
10.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
10.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
10.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
10.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
10.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
10.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
10.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
10.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
10.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
10.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
9.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
9.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
9.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
9.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
9.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
9.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
9.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
9.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
9.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
9.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
9.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
9.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
9.5
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
9.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
9.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
9.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
9.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
9.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
9.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
9.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
9.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
9.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
9.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
9.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
9.0
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
8.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
8.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
8.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
8.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
8.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
8.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
8.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
8.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
8.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
8.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
8.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
8.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
8.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
8.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
8.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
8.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
8.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
8.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
8.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
7.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
7.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
7.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
7.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
7.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
7.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
7.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
7.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
7.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
7.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
7.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
7.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
7.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
7.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
7.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
7.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
7.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
7.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
7.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
7.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
7.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
7.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
7.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
7.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
7.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
7.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
6.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
6.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
6.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
6.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
6.8
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
6.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
6.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
6.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
6.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
6.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
6.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
6.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
6.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
6.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
6.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
6.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
6.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
6.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
6.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
6.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
6.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
6.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
5.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
5.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
5.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
5.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
5.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
5.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
5.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
5.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
5.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
5.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
5.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
5.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
5.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
5.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
4.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
4.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
4.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
4.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
4.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
4.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
4.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
4.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
4.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
4.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
3.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
3.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
3.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
3.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
3.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
3.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
3.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
3.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
3.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
3.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
2.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PIK3R1 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
65.9
Number of samples
486
Samples
Sample
Description
TPM
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
160.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
156.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
152.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
149.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
148.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
145.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
140.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
140.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
133.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
130.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
129.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
127.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
126.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
125.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
125.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
119.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
118.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
114.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
112.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
112.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
112.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
112.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
112.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
112.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
110.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
110.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
109.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
109.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
107.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
107.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
107.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
106.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
106.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
104.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
104.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
104.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
103.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
103.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
103.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
103.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
102.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
101.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
101.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
101.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
100.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
100.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
99.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
98.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
97.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
97.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
96.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
96.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
96.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
96.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
96.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
96.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
95.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
95.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
95.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
95.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
95.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
94.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
94.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
94.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
93.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
93.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
92.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
91.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
91.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
91.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
91.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
90.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
90.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
89.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
89.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
89.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
89.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
88.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
88.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
87.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
87.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
86.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
86.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
85.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
85.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
85.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
85.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
85.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
85.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
85.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
84.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
84.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
84.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
84.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
84.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
84.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
83.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
83.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
83.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
83.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
82.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
82.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
82.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
81.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
81.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
81.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
80.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
80.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
80.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
80.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
80.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
80.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
80.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
79.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
79.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
78.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
78.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
78.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
78.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
78.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
78.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
78.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
78.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
77.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
77.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
77.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
77.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
77.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
77.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
77.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
77.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
77.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
77.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
76.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
76.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
76.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
76.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
76.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
76.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
76.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
75.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
75.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
75.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
75.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
75.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
74.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
74.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
74.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
74.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
74.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
74.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
74.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
74.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
74.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
74.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
73.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
73.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
73.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
73.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
73.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
73.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
73.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
73.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
73.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
72.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
72.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
72.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
72.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
72.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
72.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
72.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
72.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
71.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
71.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
71.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
71.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
71.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
71.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
71.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
71.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
70.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
70.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
70.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
70.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
70.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
70.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
70.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
70.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
70.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
70.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
70.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
70.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
70.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
70.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
69.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
69.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
69.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
69.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
69.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
69.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
68.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
68.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
68.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
68.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
68.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
68.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
68.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
67.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
67.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
67.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
67.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
67.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
67.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
66.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
66.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
66.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
65.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
65.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
65.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
65.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
65.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
65.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
65.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
65.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
65.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
64.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
64.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
64.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
64.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
64.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
64.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
63.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
63.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
63.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
63.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
63.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
63.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
63.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
63.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
63.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
62.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
62.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
62.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
62.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
61.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
61.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
61.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
61.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
61.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
61.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
61.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
61.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
60.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
60.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
60.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
60.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
60.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
60.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
60.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
59.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
59.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
59.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
59.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
59.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
59.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
59.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
59.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
59.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
58.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
58.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
58.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
58.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
57.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
57.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
57.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
57.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
57.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
57.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
57.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
57.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
57.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
57.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
56.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
56.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
56.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
56.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
56.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
56.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
56.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
56.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
55.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
55.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
55.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
55.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
55.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
55.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
55.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
55.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
55.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
55.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
55.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
55.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
55.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
54.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
54.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
54.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
54.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
54.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
54.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
54.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
54.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
54.3
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
54.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
53.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
53.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
53.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
53.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
53.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
53.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
53.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
53.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
53.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
53.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
52.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
52.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
52.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
52.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
52.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
52.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
52.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
52.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
52.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
51.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
51.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
51.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
51.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
51.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
51.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
51.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
51.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
51.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
50.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
50.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
50.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
50.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
50.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
50.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
50.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
50.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
50.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
50.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
49.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
49.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
49.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
49.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
49.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
49.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
49.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
49.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
49.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
49.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
49.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
49.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
49.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
49.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
49.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
48.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
48.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
48.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
48.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
48.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
48.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
48.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
48.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
47.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
47.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
47.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
47.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
47.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
47.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
47.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
46.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
46.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
46.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
46.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
46.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
46.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
46.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
46.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
46.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
45.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
45.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
45.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
45.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
45.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
45.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
44.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
44.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
44.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
44.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
44.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
44.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
44.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
44.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
44.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
43.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
43.8
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
43.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
43.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
43.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
43.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
43.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
42.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
42.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
42.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
42.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
42.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
41.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
41.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
41.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
41.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
40.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
40.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
40.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
40.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
40.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
40.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
40.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
40.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
40.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
39.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
39.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
39.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
39.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
39.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
39.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
39.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
39.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
38.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
37.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
37.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
37.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
37.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
36.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
36.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
36.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
36.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
36.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
36.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
36.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
35.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
35.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
35.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
34.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
34.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
34.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
34.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
34.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
34.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
34.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
34.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
33.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
33.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
33.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
33.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
32.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
32.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
31.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
31.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
31.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
30.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
30.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
30.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
29.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
28.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
28.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
27.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
26.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
26.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
25.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
25.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
25.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
25.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
24.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.1
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PIK3R1 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
11.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
24.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
22.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
22.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
21.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
19.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
18.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
17.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
17.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
16.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
16.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
16.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
16.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
16.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
16.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
16.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
15.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
15.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
15.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
15.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
15.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
15.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
14.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
14.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
14.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
14.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
13.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
13.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
13.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
13.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
13.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
13.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
13.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
12.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
12.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
12.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
12.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
12.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
11.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
11.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
11.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
11.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
11.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
11.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
10.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
10.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
10.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
10.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
10.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
10.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
10.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
9.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
9.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
9.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
9.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
9.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
9.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
9.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
9.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
9.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
9.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
9.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
8.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
8.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
8.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
8.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
8.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
8.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
8.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
8.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
8.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
8.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
7.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
7.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
7.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
6.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
6.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
6.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
6.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
6.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
5.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
5.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
4.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
4.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
3.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
3.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
3.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
3.0
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.
PIK3R1 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
66.2
Number of samples
207
Samples
Sample
Description
TPM
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
168.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
158.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
151.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
146.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
132.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
126.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
125.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
114.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
110.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
110.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
104.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
103.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
103.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
102.7
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
102.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
101.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
101.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
100.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
99.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
99.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
97.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
97.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
97.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
95.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
93.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
93.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
92.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
92.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
91.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
91.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
91.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
90.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
87.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
87.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
87.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
86.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
86.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
86.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
86.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
85.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
85.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
85.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
84.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
84.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
83.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
82.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
81.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
81.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
80.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
80.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
80.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
79.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
78.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
77.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
77.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
77.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
76.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
76.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
76.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
76.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
75.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
75.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
74.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
73.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
73.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
73.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
73.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
73.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
72.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
72.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
71.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
71.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
71.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
71.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
71.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
70.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
70.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
70.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
70.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
69.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
69.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
69.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
68.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
68.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
68.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
67.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
67.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
67.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
66.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
66.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
66.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
66.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
66.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
66.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
66.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
65.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
65.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
65.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
65.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
65.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
65.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
64.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
64.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
64.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
64.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
63.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
63.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
63.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
63.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
63.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
63.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
62.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
62.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
62.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
61.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
61.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
60.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
60.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
60.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
60.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
59.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
59.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
59.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
59.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
59.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
58.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
58.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
58.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
57.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
57.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
57.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
57.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
56.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
56.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
55.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
55.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
54.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
54.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
54.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
53.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
52.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
52.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
52.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
52.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
51.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
50.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
50.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
50.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
50.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
49.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
49.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
48.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
48.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
48.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
48.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
48.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
48.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
47.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
47.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
47.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
46.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
45.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
45.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
44.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
43.8
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
43.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
43.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
42.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
42.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
41.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
41.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
41.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
41.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
40.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
40.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
40.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
40.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
40.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
40.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
39.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
39.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
39.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
39.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
39.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
38.7
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
38.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
38.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
37.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
37.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
36.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
35.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
34.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
34.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
34.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
34.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
34.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
34.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
32.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
32.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
32.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
32.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
30.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
28.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
27.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
21.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
19.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
18.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.7
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.6
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.6
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.5
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.5
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.4
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.4
b2400046-1d25-429d-a821-6040a6
Tumor
0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.4
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.2
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Tumor
0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
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Normal
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
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Normal
0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
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Normal
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.3
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Normal
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Normal
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.5
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.6
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.6
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
