We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
PUM1 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
27.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
63.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
59.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
54.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
54.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
46.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
43.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
43.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
42.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
41.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
41.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
41.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
40.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
40.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
39.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
39.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
39.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
39.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
39.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
39.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
38.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
38.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
38.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
38.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
38.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
38.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
37.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
37.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
37.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
37.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
37.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
37.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
36.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
36.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
36.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
36.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
36.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
35.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
35.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
35.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
35.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
35.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
35.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
34.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
34.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
34.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
34.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
34.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
34.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
33.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
33.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
33.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
33.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
33.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
33.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
33.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
33.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
33.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
32.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
32.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
32.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
32.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
32.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
32.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
32.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
32.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
32.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
31.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
31.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
31.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
31.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
31.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
31.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
31.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
30.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
30.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
30.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
30.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
30.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
30.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
30.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
30.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
30.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
30.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
30.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
30.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
30.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
30.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
30.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
30.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
29.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
29.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
29.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
29.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
29.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
29.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
29.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
29.2
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
29.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
28.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
28.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
28.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
28.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
28.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
28.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
28.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
28.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
28.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
28.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
28.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
28.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
28.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
28.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
27.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
27.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
27.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
27.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
27.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
27.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
27.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
27.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
27.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
27.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
27.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
27.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
26.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
26.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
26.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
26.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
26.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
26.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
26.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
26.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
25.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
25.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
25.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
25.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
25.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
25.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
25.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
25.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
25.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
25.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
25.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
24.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
24.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
24.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
24.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
24.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
24.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
24.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
24.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
24.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
24.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
24.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
24.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
24.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
24.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
24.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
23.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
23.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
23.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
23.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
23.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
23.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
23.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
23.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
23.5
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
23.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
23.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
23.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
23.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
23.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
23.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
23.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
23.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
23.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
22.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
22.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
22.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
22.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
22.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
22.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
22.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
22.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
22.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
22.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
22.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
22.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
22.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
22.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
22.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
21.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
21.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
21.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
21.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
21.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
21.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
21.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
21.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
21.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
21.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
21.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
21.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
20.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
20.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
20.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
20.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
19.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
19.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
19.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
19.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
19.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
19.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
19.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
19.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
19.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
19.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
19.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
19.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
18.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
18.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
18.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
18.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
18.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
18.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
17.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
17.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
17.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
17.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
17.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
17.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
17.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
17.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
17.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
17.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
17.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
16.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
16.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
16.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
16.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
16.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
16.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
16.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
16.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
15.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
15.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
15.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
13.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
13.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
13.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
12.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
12.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 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.
PUM1 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
70.5
Number of samples
486
Samples
Sample
Description
TPM
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
114.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
109.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
105.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
105.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
104.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
104.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
103.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
103.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
102.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
100.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
99.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
99.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
99.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
99.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
99.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
99.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
98.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
98.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
97.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
97.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
96.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
96.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
96.2
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
96.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
95.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
94.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
93.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
92.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
92.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
92.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
92.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
91.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
91.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
90.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
90.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
90.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
90.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
90.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
89.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
89.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
89.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
89.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
89.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
88.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
88.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
87.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
87.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
87.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
86.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
86.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
86.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
86.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
86.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
86.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
85.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
85.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
85.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
85.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
85.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
85.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
85.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
84.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
84.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
84.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
84.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
84.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
84.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
84.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
84.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
84.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
84.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
83.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
83.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
83.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
83.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
83.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
83.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
83.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
83.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
82.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
82.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
82.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
82.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
82.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
82.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
81.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
81.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
81.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
81.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
81.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
81.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
81.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
81.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
81.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
80.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
80.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
80.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
80.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
80.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
80.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
80.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
80.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
80.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
80.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
79.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
79.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
79.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
79.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
79.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
79.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
79.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
79.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
79.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
79.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
79.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
79.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
79.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
78.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
78.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
78.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
78.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
78.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
78.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
77.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
77.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
77.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
77.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
77.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
77.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
77.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
77.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
77.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
77.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
77.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
77.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
76.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
76.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
76.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
76.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
76.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
76.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
75.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
75.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
75.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
75.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
75.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
75.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
75.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
75.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
75.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
75.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
75.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
75.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
75.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
75.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
75.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
75.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
75.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
75.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
74.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
74.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
74.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
74.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
74.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
74.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
74.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
74.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
74.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
74.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
74.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
74.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
74.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
74.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
74.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
74.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
74.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
74.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
74.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
74.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
74.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
73.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
73.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
73.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
73.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
73.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
73.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
73.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
73.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
73.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
73.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
73.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
73.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
72.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
72.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
72.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
72.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
72.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
72.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
72.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
72.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
72.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
72.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
72.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
72.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
72.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
72.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
72.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
72.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
71.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
71.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
71.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
71.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
71.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
71.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
71.4
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
71.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
71.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
71.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
71.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
71.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
71.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
71.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
71.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
71.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
71.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
71.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
71.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
70.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
70.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
70.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
70.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
70.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
70.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
70.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
70.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
70.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
70.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
70.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
69.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
69.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
69.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
69.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
69.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
69.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
69.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
69.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
69.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
69.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
69.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
69.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
69.1
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
69.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
69.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
68.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
68.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
68.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
68.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
68.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
68.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
68.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
68.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
68.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
68.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
68.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
68.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
68.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
68.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
68.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
68.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
68.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
67.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
67.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
67.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
67.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
67.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
67.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
67.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
67.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
67.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
67.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
67.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
67.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
67.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
67.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
67.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
67.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
67.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
66.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
66.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
66.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
66.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
66.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
66.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
66.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
66.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
66.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
66.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
66.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
66.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
66.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
66.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
66.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
66.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
65.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
65.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
65.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
65.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
65.8
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
65.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
65.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
65.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
65.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
65.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
65.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
65.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
65.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
65.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
65.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
65.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
65.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
64.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
64.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
64.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
64.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
64.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
64.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
64.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
64.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
64.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
64.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
64.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
64.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
64.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
64.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
64.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
64.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
64.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
63.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
63.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
63.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
63.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
63.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
63.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
63.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
63.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
63.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
63.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
63.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
62.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
62.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
62.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
62.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
62.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
62.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
62.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
62.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
62.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
62.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
62.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
62.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
61.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
61.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
61.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
61.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
61.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
61.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
61.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
61.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
61.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
61.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
61.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
61.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
61.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
60.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
60.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
60.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
60.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
60.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
60.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
60.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
60.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
60.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
60.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
60.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
59.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
59.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
59.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
59.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
59.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
59.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
59.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
59.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
59.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
59.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
59.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
59.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
59.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
59.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
59.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
58.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
58.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
58.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
58.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
58.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
58.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
58.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
58.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
58.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
58.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
58.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
58.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
58.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
58.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
58.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
57.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
57.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
57.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
57.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
57.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
57.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
57.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
57.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
57.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
57.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
57.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
57.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
57.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
56.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
56.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
56.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
56.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
56.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
56.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
56.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
56.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
56.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
56.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
56.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
55.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
55.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
55.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
55.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
55.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
55.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
55.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
54.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
54.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
54.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
54.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
54.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
54.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
54.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
53.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
53.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
53.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
53.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
52.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
52.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
52.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
52.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
52.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
52.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
52.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
51.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
51.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
50.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
50.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
50.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
50.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
50.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
49.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
49.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
48.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
48.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
48.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
48.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
48.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
47.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
46.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
46.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
46.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
43.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
38.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
33.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.7
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.
PUM1 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
27.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
47.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
47.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
45.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
43.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
42.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
41.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
40.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
38.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
37.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
36.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
35.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
35.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
35.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
35.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
34.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
34.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
34.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
34.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
34.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
34.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
34.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
34.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
33.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
33.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
32.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
32.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
32.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
31.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
31.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
31.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
30.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
30.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
30.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
30.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
29.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
29.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
28.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
28.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
28.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
27.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
27.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
27.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
27.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
27.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
27.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
27.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
27.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
26.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
26.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
26.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
26.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
25.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
25.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
25.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
25.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
25.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
24.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
24.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
24.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
23.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
23.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
23.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
22.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
22.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
21.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
21.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
21.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
20.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
20.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
20.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
19.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
19.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
19.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
19.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
18.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
18.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
18.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
17.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
17.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
17.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
15.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
15.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
14.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
14.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
14.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
13.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
10.0
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.
PUM1 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
65.7
Number of samples
207
Samples
Sample
Description
TPM
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
101.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
100.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
96.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
96.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
93.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
93.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
90.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
88.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
88.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
87.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
87.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
85.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
84.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
84.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
84.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
83.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
83.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
83.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
82.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
82.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
81.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
81.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
80.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
80.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
80.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
80.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
80.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
80.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
79.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
79.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
79.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
79.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
78.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
78.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
78.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
76.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
76.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
76.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
76.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
75.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
75.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
75.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
75.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
75.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
75.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
75.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
74.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
74.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
74.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
74.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
74.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
74.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
74.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
73.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
72.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
72.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
72.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
72.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
72.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
72.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
72.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
71.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
71.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
71.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
71.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
71.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
71.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
71.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
70.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
70.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
70.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
70.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
70.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
69.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
69.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
69.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
68.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
68.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
68.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
68.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
68.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
68.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
68.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
68.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
68.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
68.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
68.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
68.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
67.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
67.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
67.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
67.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
67.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
67.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
67.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
66.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
66.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
66.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
66.8
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
66.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
66.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
66.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
66.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
66.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
66.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
65.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
65.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
65.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
65.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
65.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
65.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
65.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
64.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
64.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
63.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
63.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
63.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
63.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
63.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
63.0
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
62.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
62.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
62.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
62.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
61.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
61.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
61.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
61.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
61.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
61.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
61.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
61.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
61.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
60.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
60.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
60.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
60.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
59.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
59.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
59.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
59.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
59.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
59.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
59.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
58.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
58.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
58.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
57.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
57.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
57.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
57.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
57.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
57.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
57.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
56.8
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
56.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
56.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
56.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
56.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
56.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
56.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
56.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
56.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
55.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
55.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
55.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
55.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
55.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
54.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
54.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
54.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
53.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
53.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
53.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
53.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
52.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
52.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
52.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
52.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
52.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
52.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
51.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
51.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
51.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
51.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
51.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
51.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
50.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
50.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
49.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
49.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
49.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
48.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
48.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
47.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
47.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
47.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
46.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
45.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
44.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
43.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
41.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
41.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
41.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
37.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
36.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
33.8
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
b2400046-1d25-429d-a821-6040a6
Tumor
1.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.6
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.6
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.5
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.5
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.5
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.4
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.5
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.5
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.5
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.5
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.5
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.9
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
