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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SH3GLB1 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
47.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
114.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
106.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
88.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
85.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
81.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
79.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
79.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
77.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
76.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
76.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
76.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
75.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
74.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
72.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
72.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
72.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
71.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
70.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
70.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
69.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
69.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
67.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
67.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
67.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
67.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
66.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
66.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
66.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
65.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
65.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
65.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
64.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
64.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
63.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
63.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
63.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
63.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
62.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
61.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
61.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
61.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
61.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
61.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
61.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
60.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
60.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
60.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
60.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
60.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
60.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
59.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
59.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
59.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
59.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
58.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
58.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
58.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
58.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
57.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
57.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
56.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
56.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
56.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
56.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
55.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
55.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
55.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
55.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
55.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
55.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
54.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
54.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
54.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
54.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
53.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
53.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
53.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
53.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
53.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
53.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
53.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
53.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
52.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
52.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
51.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
51.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
51.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
51.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
51.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
51.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
51.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
50.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
50.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
50.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
50.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
50.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
50.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
50.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
50.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
49.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
49.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
49.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
49.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
49.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
49.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
48.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
48.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
48.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
48.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
47.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
47.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
47.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
47.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
47.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
47.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
46.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
46.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
46.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
46.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
46.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
45.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
45.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
45.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
45.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
45.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
45.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
45.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
45.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
44.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
44.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
44.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
44.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
44.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
44.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
44.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
44.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
44.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
44.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
43.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
43.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
43.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
43.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
43.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
43.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
43.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
42.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
42.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
42.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
42.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
42.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
42.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
42.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
42.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
42.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
42.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
42.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
42.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
42.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
41.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
41.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
41.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
41.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
40.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
40.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
40.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
40.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
40.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
40.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
40.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
40.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
40.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
39.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
39.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
39.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
39.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
39.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
39.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
38.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
38.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
38.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
38.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
38.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
38.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
38.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
38.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
37.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
37.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
37.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
37.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
37.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
37.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
36.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
36.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
36.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
36.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
36.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
36.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
35.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
35.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
35.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
35.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
34.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
34.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
34.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
34.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
34.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
34.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
34.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
33.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
33.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
33.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
33.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
33.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
33.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
32.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
32.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
32.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
32.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
31.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
31.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
31.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
31.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
31.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
30.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
30.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
30.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
30.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
29.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
29.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
29.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
29.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
29.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
28.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
27.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
27.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
27.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
27.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
26.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
26.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
26.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
25.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
25.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
25.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
23.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
23.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
23.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
22.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
22.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
19.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
19.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
17.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
17.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
16.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 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.
SH3GLB1 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
63.7
Number of samples
486
Samples
Sample
Description
TPM
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
129.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
110.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
106.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
105.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
102.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
99.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
98.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
97.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
95.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
95.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
94.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
93.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
92.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
92.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
92.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
91.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
91.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
91.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
90.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
90.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
89.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
89.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
88.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
88.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
88.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
88.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
88.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
87.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
87.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
87.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
86.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
86.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
86.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
85.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
85.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
85.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
85.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
84.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
84.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
84.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
84.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
84.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
84.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
84.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
83.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
83.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
83.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
83.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
83.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
82.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
82.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
82.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
81.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
81.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
81.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
81.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
81.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
81.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
81.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
81.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
81.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
80.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
79.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
79.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
79.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
79.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
79.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
79.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
79.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
79.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
79.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
78.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
78.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
78.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
78.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
78.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
78.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
77.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
77.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
77.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
77.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
77.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
77.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
77.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
77.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
77.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
76.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
76.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
76.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
76.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
76.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
76.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
76.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
76.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
75.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
75.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
75.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
75.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
75.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
75.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
75.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
75.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
75.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
75.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
75.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
75.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
74.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
74.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
74.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
74.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
74.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
74.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
74.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
74.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
73.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
73.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
73.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
73.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
73.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
73.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
73.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
73.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
73.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
73.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
72.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
72.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
72.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
72.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
72.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
72.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
72.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
71.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
71.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
71.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
71.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
71.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
71.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
71.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
71.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
70.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
70.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
70.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
70.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
70.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
70.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
70.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
70.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
70.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
70.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
70.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
70.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
69.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
69.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
69.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
69.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
69.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
69.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
69.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
69.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
69.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
69.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
69.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
69.0
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
68.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
68.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
68.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
68.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
68.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
68.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
68.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
68.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
68.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
68.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
67.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
67.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
67.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
67.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
67.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
67.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
67.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
67.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
67.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
67.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
67.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
67.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
67.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
67.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
67.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
67.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
66.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
66.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
66.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
66.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
66.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
66.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
66.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
66.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
66.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
65.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
65.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
65.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
65.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
65.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
65.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
65.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
64.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
64.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
64.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
64.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
64.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
64.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
64.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
64.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
64.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
64.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
64.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
64.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
64.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
64.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
64.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
64.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
63.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
63.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
63.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
63.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
63.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
63.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
63.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
63.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
63.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
63.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
63.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
63.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
63.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
63.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
63.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
63.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
63.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
63.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
63.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
63.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
63.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
63.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
63.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
63.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
63.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
62.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
62.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
62.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
62.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
62.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
62.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
62.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
62.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
62.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
62.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
62.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
61.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
61.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
61.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
61.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
61.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
61.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
61.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
61.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
61.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
61.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
61.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
61.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
61.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
60.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
60.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
60.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
60.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
60.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
60.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
60.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
60.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
60.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
60.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
60.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
59.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
59.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
59.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
59.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
59.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
59.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
59.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
59.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
59.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
59.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
59.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
59.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
59.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
59.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
59.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
58.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
58.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
58.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
58.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
58.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
58.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
58.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
58.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
58.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
58.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
58.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
58.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
58.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
58.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
58.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
58.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
58.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
57.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
57.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
57.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
57.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
57.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
57.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
57.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
57.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
57.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
57.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
57.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
56.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
56.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
56.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
56.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
56.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
56.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
56.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
56.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
56.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
56.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
56.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
56.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
56.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
56.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
56.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
56.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
56.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
56.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
56.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
56.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
56.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
55.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
55.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
55.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
55.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
55.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
55.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
55.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
55.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
55.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
55.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
55.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
54.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
54.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
54.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
54.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
54.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
54.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
54.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
54.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
53.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
53.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
53.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
53.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
53.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
53.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
53.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
53.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
53.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
53.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
53.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
53.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
53.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
53.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
52.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
52.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
52.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
52.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
52.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
52.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
52.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
52.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
52.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
52.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
52.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
52.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
52.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
52.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
52.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
52.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
52.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
52.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
52.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
51.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
51.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
51.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
51.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
51.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
51.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
51.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
51.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
51.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
51.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
51.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
50.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
50.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
50.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
50.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
50.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
50.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
50.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
49.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
49.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
49.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
49.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
49.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
49.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
49.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
49.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
48.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
47.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
47.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
47.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
47.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
47.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
47.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
47.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
47.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
47.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
46.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
46.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
46.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
46.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
46.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
46.2
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
45.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
45.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
45.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
45.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
45.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
45.2
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
45.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
45.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
44.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
44.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
43.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
43.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
43.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
43.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
42.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
42.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
42.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
42.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
41.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
41.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
41.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
41.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
41.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
41.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
40.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
40.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
40.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
40.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
40.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
40.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
40.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
40.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
40.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
39.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
39.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
37.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
37.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
37.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
36.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
36.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
35.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
34.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
34.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
33.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
31.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.0
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.
SH3GLB1 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
46.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
107.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
89.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
88.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
86.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
79.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
74.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
71.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
71.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
70.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
70.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
67.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
66.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
64.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
64.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
61.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
60.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
60.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
58.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
58.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
58.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
57.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
57.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
56.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
56.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
55.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
55.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
55.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
53.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
51.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
50.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
50.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
49.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
49.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
49.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
49.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
48.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
48.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
48.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
47.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
46.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
46.0
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
45.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
45.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
45.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
43.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
43.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
43.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
42.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
42.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
42.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
42.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
42.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
42.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
42.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
41.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
41.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
41.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
40.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
38.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
38.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
37.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
37.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
35.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
34.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
34.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
34.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
34.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
33.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
33.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
32.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
32.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
32.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
31.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
30.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
29.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
29.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
26.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
26.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
25.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
25.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
24.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
23.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
19.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
18.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
17.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
17.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
16.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SH3GLB1 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
59.3
Number of samples
207
Samples
Sample
Description
TPM
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
113.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
97.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
96.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
95.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
93.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
89.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
88.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
86.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
84.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
84.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
83.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
83.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
82.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
82.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
81.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
81.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
81.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
80.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
78.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
76.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
76.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
75.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
75.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
73.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
73.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
73.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
73.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
73.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
72.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
72.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
71.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
71.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
71.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
71.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
70.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
70.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
70.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
70.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
70.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
70.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
69.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
69.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
69.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
68.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
68.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
68.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
68.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
67.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
67.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
67.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
67.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
67.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
67.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
67.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
67.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
66.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
66.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
66.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
66.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
66.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
66.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
66.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
66.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
65.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
65.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
65.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
65.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
65.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
65.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
65.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
65.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
65.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
65.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
64.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
64.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
64.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
64.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
63.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
63.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
63.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
63.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
63.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
63.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
63.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
62.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
62.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
62.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
62.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
61.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
61.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
61.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
61.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
61.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
60.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
60.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
60.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
60.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
59.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
59.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
59.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
59.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
58.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
58.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
58.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
58.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
58.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
58.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
58.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
57.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
57.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
57.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
57.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
57.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
57.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
57.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
56.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
56.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
56.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
56.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
56.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
55.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
55.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
55.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
55.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
55.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
55.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
55.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
55.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
54.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
54.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
54.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
54.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
54.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
53.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
53.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
53.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
53.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
53.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
53.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
53.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
53.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
52.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
52.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
52.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
52.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
52.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
52.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
51.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
51.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
51.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
51.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
51.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
51.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
51.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
50.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
50.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
50.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
50.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
50.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
50.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
50.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
49.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
48.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
48.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
48.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
48.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
48.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
48.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
47.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
47.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
47.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
47.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
47.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
47.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
47.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
47.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
46.0
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
45.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
45.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
44.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
44.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
44.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
43.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
43.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
43.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
43.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
43.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
42.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
41.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
41.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
39.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
39.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
39.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
38.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
38.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
37.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
36.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
36.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
35.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
34.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
32.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
32.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
31.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
29.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
27.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
26.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
6.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.7
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.6
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.6
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.5
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.5
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.5
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.5
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.4
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.2
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Normal
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
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Normal
0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.2
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Tumor
0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
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Normal
0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
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Normal
0.1
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Normal
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
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Tumor
0.1
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Normal
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
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Normal
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
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Normal
0.1
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Normal
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.1
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Tumor
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
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Tumor
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
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Normal
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
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Tumor
0.0
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Normal
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
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Normal
0.0
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Tumor
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.0
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Tumor
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
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Tumor
-0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.2
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.5
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.6
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.6
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.6
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
