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.
MRPS16 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
41.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
92.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
71.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
69.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
67.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
65.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
64.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
64.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
63.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
62.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
61.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
60.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
60.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
59.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
59.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
59.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
57.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
57.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
57.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
56.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
55.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
54.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
54.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
54.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
53.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
53.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
53.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
53.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
53.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
52.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
52.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
51.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
51.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
51.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
51.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
51.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
51.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
51.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
50.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
50.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
50.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
50.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
50.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
50.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
50.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
50.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
49.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
49.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
49.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
49.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
49.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
48.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
48.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
48.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
48.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
48.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
48.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
48.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
48.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
48.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
48.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
47.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
47.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
47.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
47.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
46.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
46.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
46.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
46.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
46.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
46.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
45.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
45.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
45.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
45.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
45.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
45.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
45.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
45.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
45.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
45.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
45.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
45.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
45.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
45.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
45.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
44.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
44.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
44.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
44.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
44.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
44.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
44.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
44.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
44.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
44.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
44.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
43.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
43.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
43.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
43.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
43.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
43.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
42.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
42.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
42.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
42.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
42.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
42.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
42.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
42.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
41.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
41.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
41.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
41.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
41.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
41.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
41.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
41.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
41.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
41.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
41.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
41.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
41.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
40.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
40.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
40.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
40.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
40.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
40.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
40.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
40.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
40.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
40.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
39.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
39.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
39.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
39.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
39.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
39.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
39.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
39.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
38.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
38.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
38.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
38.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
38.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
38.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
38.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
38.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
38.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
38.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
37.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
37.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
37.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
37.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
37.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
37.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
37.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
37.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
37.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
37.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
37.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
37.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
37.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
37.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
36.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
36.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
36.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
36.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
36.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
36.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
36.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
36.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
36.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
36.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
36.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
35.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
35.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
35.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
35.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
35.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
35.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
35.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
35.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
35.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
35.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
35.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
34.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
34.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
34.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
34.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
34.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
34.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
34.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
34.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
34.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
34.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
33.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
33.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
33.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
33.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
33.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
33.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
33.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
32.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
32.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
32.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
32.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
32.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
32.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
32.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
31.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
31.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
31.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
31.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
31.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
31.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
31.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
31.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
30.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
30.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
30.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
30.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
30.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
30.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
30.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
30.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
30.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
29.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
29.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
29.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
29.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
29.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
29.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
29.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
28.7
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
28.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
26.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
26.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
26.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
26.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
25.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
25.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
25.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
25.5
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
25.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
22.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
22.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
21.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
21.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
20.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
19.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
18.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 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.
MRPS16 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
30.0
Number of samples
486
Samples
Sample
Description
TPM
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
81.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
71.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
70.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
68.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
67.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
63.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
54.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
53.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
53.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
52.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
50.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
49.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
49.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
48.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
48.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
48.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
48.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
47.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
46.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
46.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
46.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
46.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
46.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
45.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
44.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
44.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
44.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
44.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
43.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
43.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
43.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
43.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
43.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
42.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
41.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
41.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
41.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
41.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
41.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
41.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
41.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
41.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
41.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
41.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
40.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
40.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
40.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
40.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
40.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
40.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
40.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
39.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
39.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
39.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
39.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
39.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
39.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
38.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
38.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
38.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
38.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
38.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
38.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
37.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
37.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
37.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
37.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
37.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
37.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
37.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
37.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
37.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
37.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
37.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
37.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
37.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
37.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
37.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
37.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
37.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
37.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
37.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
36.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
36.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
36.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
36.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
36.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
36.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
36.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
36.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
36.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
36.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
35.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
35.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
35.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
35.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
35.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
35.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
35.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
35.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
35.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
35.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
35.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
35.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
35.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
35.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
35.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
34.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
34.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
34.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
34.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
34.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
34.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
34.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
34.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
34.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
34.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
34.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
34.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
34.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
34.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
34.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
34.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
34.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
33.9
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
33.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
33.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
33.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
33.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
33.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
33.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
33.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
33.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
33.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
33.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
33.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
33.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
33.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
33.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
33.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
33.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
33.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
33.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
33.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
33.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
33.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
33.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
33.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
32.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
32.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
32.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
32.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
32.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
32.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
32.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
32.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
32.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
32.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
32.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
32.4
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
32.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
32.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
32.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
32.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
32.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
32.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
32.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
32.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
32.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
32.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
32.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
32.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
32.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
32.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
32.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
32.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
31.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
31.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
31.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
31.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
31.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
31.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
31.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
31.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
31.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
31.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
31.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
31.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
31.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
31.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
31.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
31.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
31.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
31.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
31.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
31.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
31.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
30.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
30.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
30.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
30.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
30.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
30.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
30.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
30.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
30.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
30.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
30.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
30.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
30.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
30.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
30.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
30.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
30.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
30.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
30.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
30.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
30.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
30.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
30.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
30.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
30.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
30.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
30.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
30.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
29.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
29.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
29.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
29.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
29.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
29.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
29.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
29.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
29.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
29.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
29.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
29.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
29.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
29.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
29.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
29.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
29.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
29.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
29.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
29.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
29.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
29.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
29.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
29.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
29.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
28.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
28.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
28.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
28.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
28.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
28.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
28.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
28.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
28.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
28.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
28.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
28.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
28.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
28.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
28.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
28.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
27.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
27.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
27.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
27.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
27.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
27.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
27.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
27.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
27.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
27.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
27.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
27.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
27.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
27.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
27.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
27.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
27.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
27.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
27.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
27.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
27.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
27.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
27.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
27.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
27.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
27.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
27.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
27.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
27.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
27.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
27.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
27.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
27.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
27.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
27.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
26.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
26.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
26.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
26.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
26.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
26.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
26.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
26.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
26.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
26.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
26.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
26.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
26.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
26.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
26.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
26.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
26.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
26.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
26.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
26.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
26.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
26.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
26.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
26.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
25.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
25.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
25.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
25.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
25.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
25.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
25.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
25.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
25.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
25.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
25.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
25.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
25.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
25.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
25.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
25.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
25.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
25.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
25.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
25.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
25.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
24.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
24.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
24.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
24.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
24.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
24.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
24.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
24.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
24.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
24.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
24.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
24.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
24.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
24.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
24.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
24.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
24.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
24.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
24.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
24.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
24.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
24.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
24.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
24.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
24.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
24.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
24.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
24.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
23.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
23.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
23.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
23.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
23.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
23.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
23.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
23.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
23.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
23.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
23.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
23.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
23.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
23.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
23.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
23.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
23.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
22.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
22.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
22.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
22.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
22.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
22.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
22.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
22.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
22.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
22.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
22.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
22.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
22.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
22.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
22.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
22.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
22.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
22.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
22.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
22.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
22.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
22.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
21.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
21.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
21.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
21.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
21.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
21.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
21.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
21.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
21.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
21.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
21.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
21.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
21.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
21.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
21.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
21.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
21.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
21.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
21.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
21.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
21.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
21.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
21.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
21.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
20.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
20.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
20.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
20.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
20.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
20.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
20.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
20.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
20.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
20.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
20.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
20.2
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
20.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
20.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
20.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
19.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
19.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
19.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
19.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
19.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
19.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
19.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
19.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
19.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
18.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
18.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
18.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
18.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
17.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
17.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
17.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
17.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
17.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
17.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
16.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
16.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
16.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
16.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
16.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
16.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
16.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
15.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
15.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
14.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
14.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
13.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
3.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.6
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.
MRPS16 is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
38.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
62.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
60.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
57.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
57.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
57.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
56.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
54.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
53.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
52.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
52.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
52.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
52.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
51.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
50.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
49.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
49.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
49.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
49.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
47.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
47.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
46.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
45.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
45.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
44.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
43.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
43.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
42.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
42.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
41.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
41.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
41.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
41.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
41.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
40.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
40.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
40.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
40.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
39.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
39.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
39.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
39.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
38.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
37.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
37.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
36.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
36.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
36.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
36.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
36.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
36.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
35.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
35.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
34.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
34.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
33.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
33.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
32.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
32.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
32.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
32.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
32.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
32.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
31.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
31.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
30.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
30.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
30.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
30.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
29.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
29.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
29.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
29.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
29.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
28.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
28.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
28.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
27.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
27.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
26.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
24.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
23.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
23.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
23.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
23.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
23.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
21.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
13.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MRPS16 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
26.0
Number of samples
207
Samples
Sample
Description
TPM
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
52.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
45.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
44.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
44.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
43.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
43.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
42.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
40.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
39.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
39.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
38.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
38.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
38.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
38.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
37.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
37.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
36.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
36.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
36.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
35.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
34.8
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
34.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
34.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
34.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
34.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
33.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
33.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
33.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
33.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
32.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
32.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
32.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
32.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
32.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
31.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
31.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
31.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
31.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
31.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
31.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
31.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
31.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
31.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
31.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
30.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
30.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
30.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
30.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
30.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
30.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
30.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
30.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
30.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
29.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
29.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
29.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
29.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
29.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
29.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
29.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
28.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
28.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
28.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
28.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
28.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
28.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
28.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
28.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
28.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
28.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
27.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
27.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
27.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
27.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
27.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
27.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
27.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
27.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
27.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
27.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
27.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
27.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
27.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
26.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
26.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
26.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
26.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
26.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
26.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
26.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
26.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
26.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
26.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
26.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
25.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
25.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
25.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
25.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
25.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
25.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
25.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
25.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
25.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
25.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
25.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
24.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
24.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
24.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
24.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
24.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
24.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
24.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
24.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
24.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
24.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
24.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
24.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
24.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
24.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
24.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
23.9
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
23.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
23.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
23.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
23.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
23.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
23.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
23.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
23.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
23.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
23.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
23.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
23.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
23.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
23.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
23.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
22.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
22.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
22.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
22.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
22.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
22.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
22.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
22.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
22.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
22.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
22.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
22.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
21.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
21.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
21.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
21.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
21.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
21.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
21.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
21.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
21.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
20.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
20.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
20.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
20.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
20.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
20.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
20.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
20.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
20.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
20.0
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
20.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
19.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
19.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
19.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
19.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
19.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
19.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
19.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
19.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
19.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
19.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
19.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
19.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
18.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
18.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
18.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
18.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
18.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
18.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
18.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
17.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
17.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
17.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
17.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
17.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
17.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
17.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
16.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
16.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
16.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
15.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
15.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
14.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
14.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
14.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
14.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
14.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
14.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
14.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
13.9
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.8
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.8
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.7
8cc7e656-0152-4359-8566-0581c3
Tumor
0.7
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.7
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.6
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.5
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.5
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.4
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
b2400046-1d25-429d-a821-6040a6
Tumor
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.4
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.4
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.4
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.5
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.5
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.6
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.6
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.6
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.6
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.7
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.7
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
