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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.
SHC1 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
61.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
182.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
132.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
119.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
116.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
113.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
113.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
111.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
111.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
111.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
111.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
111.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
106.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
105.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
101.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
99.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
98.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
98.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
97.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
96.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
95.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
95.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
95.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
94.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
94.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
93.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
92.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
92.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
91.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
90.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
90.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
89.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
87.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
86.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
85.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
85.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
85.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
85.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
84.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
84.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
83.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
82.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
81.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
80.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
79.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
79.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
79.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
79.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
78.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
78.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
78.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
78.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
78.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
77.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
77.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
77.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
77.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
77.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
76.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
76.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
76.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
76.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
75.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
75.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
75.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
75.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
74.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
74.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
74.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
74.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
74.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
73.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
73.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
73.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
73.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
72.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
72.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
72.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
72.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
72.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
72.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
72.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
71.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
71.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
70.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
70.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
69.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
69.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
69.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
68.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
68.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
68.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
67.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
67.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
67.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
67.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
66.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
66.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
66.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
66.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
65.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
65.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
65.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
64.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
64.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
64.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
63.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
63.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
62.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
62.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
62.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
61.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
60.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
60.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
60.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
60.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
60.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
59.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
59.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
59.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
59.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
58.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
58.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
58.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
58.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
58.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
58.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
57.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
57.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
57.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
57.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
57.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
57.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
57.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
56.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
56.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
56.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
55.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
55.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
55.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
55.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
55.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
54.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
54.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
54.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
54.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
54.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
53.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
53.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
53.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
52.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
52.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
52.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
52.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
51.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
51.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
51.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
50.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
50.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
50.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
50.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
49.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
49.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
49.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
48.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
48.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
48.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
48.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
47.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
47.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
47.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
47.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
47.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
46.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
46.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
46.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
46.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
46.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
46.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
46.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
46.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
45.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
45.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
45.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
45.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
45.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
45.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
45.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
45.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
44.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
44.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
44.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
44.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
43.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
43.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
43.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
43.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
43.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
42.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
42.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
42.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
42.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
41.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
41.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
41.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
41.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
41.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
41.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
41.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
40.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
40.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
40.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
40.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
40.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
40.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
40.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
39.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
39.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
39.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
38.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
38.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
38.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
38.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
38.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
37.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
37.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
37.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
37.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
37.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
36.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
36.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
36.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
36.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
36.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
36.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
35.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
35.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
35.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
34.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
34.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
34.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
33.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
33.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
33.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
33.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
32.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
32.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
30.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
30.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
30.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
29.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
29.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
28.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
24.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 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.
SHC1 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
129.1
Number of samples
486
Samples
Sample
Description
TPM
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
336.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
245.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
232.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
230.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
228.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
222.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
221.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
221.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
221.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
219.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
217.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
217.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
213.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
210.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
204.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
204.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
202.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
201.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
199.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
199.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
197.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
195.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
192.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
191.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
191.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
188.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
187.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
185.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
183.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
182.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
181.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
181.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
181.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
181.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
180.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
177.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
177.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
176.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
176.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
176.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
174.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
174.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
174.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
173.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
173.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
172.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
171.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
171.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
171.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
170.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
170.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
169.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
169.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
169.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
169.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
169.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
169.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
169.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
168.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
167.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
166.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
165.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
164.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
164.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
163.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
163.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
161.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
161.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
161.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
161.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
160.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
160.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
160.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
160.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
159.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
159.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
158.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
158.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
157.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
157.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
157.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
156.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
156.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
154.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
154.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
153.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
153.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
152.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
152.8
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
152.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
152.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
152.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
152.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
151.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
151.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
151.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
150.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
150.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
150.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
150.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
150.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
150.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
149.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
149.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
148.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
148.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
148.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
148.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
147.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
147.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
147.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
146.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
146.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
146.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
146.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
145.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
145.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
145.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
144.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
144.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
144.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
144.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
144.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
144.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
144.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
143.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
143.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
143.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
143.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
143.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
142.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
142.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
141.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
141.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
141.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
141.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
141.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
141.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
140.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
140.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
139.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
139.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
139.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
138.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
138.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
138.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
138.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
138.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
137.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
137.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
137.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
137.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
137.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
137.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
137.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
137.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
137.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
137.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
136.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
136.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
136.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
136.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
136.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
136.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
135.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
135.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
135.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
135.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
135.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
135.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
134.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
134.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
134.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
134.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
134.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
134.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
134.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
133.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
133.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
133.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
132.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
132.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
132.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
132.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
132.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
132.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
132.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
131.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
131.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
131.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
131.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
131.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
131.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
131.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
131.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
130.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
130.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
130.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
130.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
130.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
130.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
130.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
130.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
130.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
129.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
129.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
129.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
129.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
129.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
129.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
128.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
128.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
128.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
128.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
128.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
128.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
127.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
127.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
127.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
127.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
127.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
127.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
126.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
126.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
126.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
126.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
126.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
126.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
126.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
126.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
126.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
126.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
125.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
125.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
125.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
125.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
124.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
124.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
124.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
124.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
124.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
124.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
124.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
123.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
123.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
123.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
123.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
123.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
123.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
123.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
123.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
123.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
123.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
123.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
123.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
123.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
123.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
122.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
122.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
122.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
122.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
122.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
122.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
122.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
122.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
122.1
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
122.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
121.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
121.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
121.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
121.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
121.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
121.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
120.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
120.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
120.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
120.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
120.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
119.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
119.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
119.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
119.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
119.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
119.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
119.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
119.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
119.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
119.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
118.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
118.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
118.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
118.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
118.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
118.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
118.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
117.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
117.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
117.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
117.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
117.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
117.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
117.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
117.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
117.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
117.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
116.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
116.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
116.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
116.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
116.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
116.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
116.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
116.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
115.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
115.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
115.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
115.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
115.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
115.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
114.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
114.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
114.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
114.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
114.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
114.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
114.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
114.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
114.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
114.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
114.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
113.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
113.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
113.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
113.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
113.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
113.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
112.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
112.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
112.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
112.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
112.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
112.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
112.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
112.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
112.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
111.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
111.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
111.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
111.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
111.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
111.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
110.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
110.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
110.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
109.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
109.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
109.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
109.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
108.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
108.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
108.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
107.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
107.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
107.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
107.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
107.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
106.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
106.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
106.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
106.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
106.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
106.5
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
106.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
106.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
106.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
106.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
106.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
105.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
105.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
105.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
104.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
104.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
104.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
104.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
104.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
104.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
104.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
104.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
104.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
104.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
104.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
104.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
103.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
103.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
103.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
103.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
103.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
102.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
102.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
102.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
102.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
101.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
101.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
100.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
100.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
100.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
100.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
100.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
100.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
99.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
99.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
99.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
99.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
98.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
98.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
98.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
98.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
98.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
98.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
97.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
97.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
97.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
97.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
97.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
97.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
97.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
96.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
96.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
95.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
95.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
94.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
94.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
94.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
94.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
93.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
93.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
93.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
93.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
92.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
92.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
92.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
92.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
92.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
91.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
91.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
91.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
91.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
91.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
90.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
90.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
90.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
89.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
89.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
88.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
88.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
87.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
87.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
87.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
86.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
86.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
85.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
85.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
85.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
85.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
85.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
84.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
84.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
84.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
83.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
82.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
82.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
82.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
81.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
80.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
80.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
79.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
78.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
78.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
78.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
76.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
76.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
75.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
75.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
71.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
4.5
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.
SHC1 is potential prognostic, high expression is unfavorable 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
60.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
128.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
108.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
102.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
102.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
101.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
95.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
92.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
91.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
90.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
87.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
86.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
81.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
80.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
80.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
79.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
78.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
77.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
77.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
76.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
73.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
71.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
70.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
70.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
68.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
68.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
68.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
67.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
67.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
66.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
66.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
66.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
65.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
65.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
65.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
65.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
64.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
64.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
64.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
63.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
63.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
61.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
61.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
60.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
59.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
59.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
58.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
58.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
57.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
57.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
57.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
56.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
55.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
55.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
55.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
53.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
53.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
52.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
51.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
50.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
50.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
49.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
48.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
48.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
48.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
46.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
43.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
43.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
42.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
42.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
42.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
42.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
41.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
41.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
39.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
38.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
37.9
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
37.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
34.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
34.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
34.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
34.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
33.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
31.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
31.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
31.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
26.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
25.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 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.
SHC1 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
123.3
Number of samples
207
Samples
Sample
Description
TPM
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
263.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
218.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
217.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
212.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
209.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
207.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
207.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
205.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
200.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
199.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
194.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
189.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
187.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
187.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
181.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
180.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
178.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
177.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
173.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
167.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
164.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
164.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
164.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
163.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
163.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
160.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
160.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
159.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
155.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
155.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
155.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
154.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
152.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
151.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
149.4
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
148.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
148.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
148.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
147.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
147.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
144.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
144.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
144.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
144.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
143.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
143.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
143.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
143.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
142.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
142.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
140.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
139.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
139.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
138.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
137.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
137.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
137.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
136.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
136.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
136.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
136.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
136.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
134.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
134.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
134.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
133.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
133.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
132.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
132.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
131.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
130.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
130.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
130.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
130.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
130.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
130.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
129.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
129.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
129.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
129.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
129.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
128.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
127.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
126.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
126.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
126.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
126.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
126.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
125.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
124.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
124.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
123.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
122.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
121.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
121.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
121.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
120.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
120.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
120.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
120.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
119.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
118.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
118.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
118.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
117.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
117.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
117.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
116.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
115.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
115.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
115.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
115.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
114.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
114.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
114.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
114.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
113.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
113.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
112.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
111.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
111.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
110.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
110.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
110.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
110.6
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
109.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
109.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
109.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
108.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
108.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
108.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
108.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
108.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
108.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
108.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
107.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
107.7
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
106.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
106.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
106.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
105.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
104.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
104.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
104.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
104.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
103.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
102.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
102.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
102.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
101.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
100.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
100.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
100.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
100.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
100.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
100.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
100.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
100.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
100.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
99.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
99.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
98.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
97.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
97.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
97.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
96.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
96.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
95.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
94.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
94.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
94.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
93.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
92.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
92.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
92.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
91.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
91.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
90.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
90.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
88.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
87.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
86.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
86.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
86.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
84.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
84.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
84.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
83.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
83.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
83.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
82.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
82.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
82.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
82.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
80.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
79.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
78.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
76.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
75.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
75.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
74.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
71.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
71.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
70.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
70.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
59.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
40.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
b2400046-1d25-429d-a821-6040a6
Tumor
1.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.8
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.7
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.6
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.5
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.5
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
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Normal
0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.2
82157a70-12f1-4913-b548-d98881_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
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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
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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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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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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Normal
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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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
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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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
0.0
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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
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
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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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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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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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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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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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
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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
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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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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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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
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
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Normal
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
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
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
1c070992-647b-4173-a481-904c4d_D2
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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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
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Tumor
-0.1
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Normal
-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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Normal
-0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
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
