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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.
RAB2A 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
56.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
138.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
138.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
136.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
134.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
124.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
107.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
107.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
100.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
100.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
97.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
95.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
94.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
93.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
91.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
90.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
89.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
87.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
85.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
85.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
84.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
83.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
83.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
83.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
83.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
82.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
81.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
81.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
81.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
80.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
78.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
77.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
77.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
77.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
76.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
75.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
75.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
75.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
75.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
74.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
74.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
74.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
74.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
73.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
73.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
73.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
72.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
72.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
72.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
71.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
71.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
71.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
70.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
70.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
70.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
69.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
69.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
69.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
69.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
69.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
68.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
68.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
67.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
67.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
67.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
66.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
65.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
65.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
65.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
65.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
65.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
64.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
64.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
63.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
63.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
62.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
62.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
62.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
62.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
62.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
62.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
62.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
61.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
61.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
61.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
60.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
60.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
60.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
60.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
59.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
59.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
59.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
59.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
59.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
59.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
59.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
59.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
59.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
58.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
58.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
58.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
58.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
58.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
57.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
57.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
57.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
57.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
57.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
57.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
57.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
56.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
56.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
56.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
56.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
55.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
55.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
55.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
55.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
54.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
54.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
54.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
54.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
54.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
54.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
54.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
53.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
53.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
53.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
53.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
53.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
53.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
52.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
52.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
52.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
52.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
51.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
51.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
50.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
50.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
50.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
50.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
49.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
49.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
49.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
49.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
49.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
49.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
49.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
49.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
49.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
49.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
49.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
49.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
48.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
48.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
48.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
48.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
48.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
48.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
48.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
48.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
48.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
48.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
48.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
48.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
47.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
47.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
47.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
47.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
46.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
46.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
46.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
45.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
45.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
45.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
45.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
45.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
45.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
44.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
44.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
44.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
43.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
43.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
43.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
43.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
43.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
43.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
42.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
42.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
42.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
42.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
41.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
41.7
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
41.6
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
40.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
40.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
39.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
39.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
39.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
39.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
39.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
39.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
39.5
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
39.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
39.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
39.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
38.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
38.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
38.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
38.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
38.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
38.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
38.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
38.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
37.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
37.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
37.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
37.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
36.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
36.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
36.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
36.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
36.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
36.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
36.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
35.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
35.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
35.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
35.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
34.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
34.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
34.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
33.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
33.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
33.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
33.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
32.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
32.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
32.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
31.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
31.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
30.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
30.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
30.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
29.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
29.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
29.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
28.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
27.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
27.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
25.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
25.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
24.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
23.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 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.
RAB2A 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
103.3
Number of samples
486
Samples
Sample
Description
TPM
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
276.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
246.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
228.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
227.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
219.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
218.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
208.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
206.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
204.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
202.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
199.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
195.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
194.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
185.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
173.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
171.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
167.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
166.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
165.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
164.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
162.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
161.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
160.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
160.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
160.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
158.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
158.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
156.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
156.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
155.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
155.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
155.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
155.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
153.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
152.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
151.9
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
151.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
150.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
148.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
147.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
147.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
146.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
146.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
146.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
145.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
145.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
144.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
144.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
143.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
143.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
143.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
142.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
142.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
142.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
141.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
141.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
141.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
140.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
140.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
139.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
138.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
137.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
137.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
136.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
136.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
136.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
135.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
135.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
134.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
133.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
132.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
132.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
131.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
131.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
130.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
130.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
130.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
129.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
129.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
129.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
129.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
128.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
128.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
128.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
127.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
127.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
127.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
127.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
126.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
126.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
125.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
125.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
125.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
125.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
124.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
124.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
124.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
124.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
124.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
123.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
122.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
122.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
122.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
122.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
121.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
121.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
121.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
121.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
120.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
120.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
120.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
119.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
119.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
119.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
118.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
118.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
118.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
117.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
117.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
117.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
117.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
116.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
116.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
116.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
116.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
115.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
115.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
115.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
115.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
114.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
114.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
114.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
113.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
113.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
112.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
111.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
111.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
111.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
111.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
111.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
111.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
111.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
111.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
110.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
110.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
110.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
110.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
110.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
110.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
110.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
109.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
109.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
109.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
109.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
109.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
109.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
108.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
108.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
108.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
108.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
108.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
108.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
108.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
108.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
107.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
107.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
107.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
107.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
107.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
107.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
107.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
107.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
107.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
107.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
107.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
107.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
107.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
106.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
106.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
106.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
106.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
106.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
106.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
106.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
106.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
106.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
106.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
105.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
105.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
104.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
104.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
104.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
104.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
104.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
103.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
103.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
103.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
103.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
103.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
103.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
103.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
103.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
102.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
102.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
102.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
102.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
102.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
102.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
102.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
102.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
101.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
101.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
101.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
101.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
101.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
101.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
101.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
101.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
101.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
100.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
100.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
100.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
100.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
100.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
99.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
99.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
99.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
99.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
99.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
99.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
99.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
99.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
99.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
99.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
99.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
98.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
98.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
98.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
98.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
98.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
98.4
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
98.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
98.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
98.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
98.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
97.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
97.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
97.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
97.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
97.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
97.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
97.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
97.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
97.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
96.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
96.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
96.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
96.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
96.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
96.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
96.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
96.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
96.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
96.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
96.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
95.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
95.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
95.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
95.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
95.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
95.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
95.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
95.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
95.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
94.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
94.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
94.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
94.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
94.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
94.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
93.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
93.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
93.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
93.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
93.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
93.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
93.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
93.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
92.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
92.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
92.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
92.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
92.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
92.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
92.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
92.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
92.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
92.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
92.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
92.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
92.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
92.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
91.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
91.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
91.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
91.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
91.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
91.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
91.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
90.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
90.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
90.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
90.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
90.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
90.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
90.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
90.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
89.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
89.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
89.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
89.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
89.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
89.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
88.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
88.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
88.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
88.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
88.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
88.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
88.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
88.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
88.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
88.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
88.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
87.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
87.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
87.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
87.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
87.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
87.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
87.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
87.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
87.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
86.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
86.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
86.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
86.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
86.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
86.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
86.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
86.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
85.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
85.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
85.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
85.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
85.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
85.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
84.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
84.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
84.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
84.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
84.2
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
84.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
84.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
83.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
83.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
83.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
83.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
83.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
83.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
83.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
83.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
83.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
82.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
82.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
82.4
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
82.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
82.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
82.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
82.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
81.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
81.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
81.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
81.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
81.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
81.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
81.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
81.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
81.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
81.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
81.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
80.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
80.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
80.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
80.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
80.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
80.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
79.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
79.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
79.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
79.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
79.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
78.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
78.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
78.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
78.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
77.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
76.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
76.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
76.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
75.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
75.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
75.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
75.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
75.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
75.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
75.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
74.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
74.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
74.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
74.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
73.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
73.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
73.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
73.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
73.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
73.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
73.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
72.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
72.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
72.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
72.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
72.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
71.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
71.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
71.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
70.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
70.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
70.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
70.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
69.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
69.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
69.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
68.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
67.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
67.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
67.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
67.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
66.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
65.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
65.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
65.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
65.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
65.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
64.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
64.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
64.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
64.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
64.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
62.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
61.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
61.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
61.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
60.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
60.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
60.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
60.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
59.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
58.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
58.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
57.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
57.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
57.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
55.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
54.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
51.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
51.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
50.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
49.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
44.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
44.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
43.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
43.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
21.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.5
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.
RAB2A 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
58.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
150.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
149.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
114.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
107.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
94.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
87.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
87.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
86.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
82.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
78.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
78.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
76.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
76.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
74.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
72.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
71.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
71.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
71.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
71.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
69.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
69.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
68.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
67.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
66.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
66.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
66.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
65.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
64.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
64.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
63.3
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
63.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
61.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
61.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
60.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
60.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
60.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
59.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
58.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
58.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
57.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
57.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
56.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
56.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
55.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
53.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
53.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
52.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
52.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
52.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
52.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
51.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
51.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
50.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
50.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
49.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
49.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
49.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
49.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
49.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
48.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
48.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
47.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
46.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
46.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
44.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
43.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
43.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
42.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
42.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
41.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
41.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
41.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
41.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
40.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
39.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
38.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
38.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
37.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
37.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
36.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
36.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
35.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
32.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
26.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
23.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
20.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
20.6
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.
RAB2A 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
99.8
Number of samples
207
Samples
Sample
Description
TPM
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
213.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
202.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
201.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
195.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
191.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
190.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
175.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
166.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
151.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
151.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
151.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
150.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
148.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
146.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
144.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
144.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
142.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
142.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
141.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
141.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
140.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
140.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
140.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
139.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
138.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
137.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
137.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
135.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
134.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
132.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
130.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
130.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
128.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
128.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
127.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
123.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
123.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
122.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
122.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
121.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
120.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
120.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
120.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
120.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
120.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
118.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
118.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
118.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
118.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
117.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
117.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
116.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
115.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
115.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
115.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
114.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
114.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
114.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
113.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
112.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
112.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
111.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
111.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
109.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
109.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
109.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
109.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
108.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
108.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
108.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
107.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
107.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
106.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
106.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
106.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
106.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
105.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
105.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
105.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
104.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
104.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
104.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
103.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
102.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
102.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
102.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
101.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
101.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
101.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
100.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
100.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
100.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
99.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
99.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
99.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
98.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
98.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
97.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
96.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
96.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
96.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
95.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
95.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
94.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
94.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
93.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
93.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
93.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
93.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
92.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
92.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
92.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
92.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
91.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
91.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
91.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
90.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
90.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
89.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
89.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
89.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
89.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
88.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
88.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
87.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
87.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
87.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
87.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
86.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
86.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
85.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
85.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
84.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
84.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
84.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
83.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
83.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
82.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
82.7
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
82.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
82.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
82.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
81.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
80.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
80.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
80.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
79.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
79.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
79.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
79.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
78.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
77.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
77.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
76.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
76.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
76.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
76.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
76.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
76.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
75.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
75.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
75.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
75.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
74.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
73.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
73.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
73.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
73.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
73.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
73.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
73.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
72.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
72.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
72.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
71.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
71.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
71.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
70.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
70.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
69.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
69.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
69.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
69.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
68.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
68.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
67.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
67.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
67.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
66.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
65.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
65.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
65.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
64.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
64.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
64.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
63.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
62.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
62.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
62.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
57.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
57.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
55.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
50.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
45.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
41.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
41.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
14.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.8
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.7
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.6
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.6
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.6
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.5
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.5
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.4
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.4
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
0.3
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Tumor
0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.3
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Normal
0.3
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Tumor
0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
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Normal
0.2
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Normal
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
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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
0.1
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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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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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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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Tumor
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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Normal
0.1
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Normal
0.1
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Normal
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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Normal
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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Normal
0.1
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Normal
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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Normal
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
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
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Tumor
0.0
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Normal
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
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
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Normal
0.0
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Tumor
0.0
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Normal
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
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Normal
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
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
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Normal
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
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Normal
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
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
-0.1
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Normal
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
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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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
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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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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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
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
526c3664-5b9b-4a2b-a00e-a14623_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
-0.2
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Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Normal
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.3
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Normal
-0.3
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Tumor
-0.3
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Normal
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.4
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.4
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
