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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.
SSR1 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
69.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
212.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
195.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
173.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
169.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
149.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
145.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
142.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
134.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
133.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
133.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
132.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
131.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
129.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
123.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
116.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
116.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
115.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
113.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
111.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
107.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
106.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
105.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
105.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
104.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
104.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
103.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
102.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
102.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
101.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
101.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
101.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
99.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
98.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
98.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
96.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
96.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
96.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
95.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
95.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
95.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
94.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
92.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
91.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
91.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
91.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
90.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
90.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
89.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
89.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
89.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
89.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
89.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
88.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
88.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
87.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
87.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
87.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
87.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
87.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
87.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
86.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
85.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
84.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
83.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
83.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
82.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
82.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
81.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
81.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
80.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
79.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
79.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
79.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
79.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
79.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
78.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
78.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
78.0
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
76.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
76.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
76.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
76.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
76.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
76.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
76.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
76.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
75.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
75.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
75.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
74.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
74.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
74.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
74.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
73.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
73.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
72.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
72.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
71.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
71.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
71.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
70.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
70.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
70.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
70.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
70.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
70.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
69.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
69.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
69.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
68.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
68.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
68.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
68.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
68.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
67.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
67.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
67.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
67.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
67.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
67.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
67.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
66.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
66.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
66.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
65.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
65.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
65.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
65.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
64.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
64.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
63.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
63.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
63.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
63.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
62.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
62.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
62.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
62.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
61.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
61.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
61.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
61.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
61.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
60.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
60.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
60.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
59.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
59.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
59.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
58.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
58.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
57.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
57.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
57.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
57.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
57.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
57.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
57.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
57.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
56.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
56.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
56.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
55.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
55.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
55.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
55.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
55.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
54.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
54.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
54.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
53.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
53.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
53.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
53.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
52.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
52.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
52.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
51.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
51.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
51.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
51.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
50.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
50.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
50.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
50.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
50.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
49.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
49.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
49.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
49.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
49.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
48.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
48.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
48.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
48.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
47.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
47.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
47.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
46.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
46.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
46.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
45.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
45.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
45.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
44.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
44.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
44.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
43.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
42.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
42.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
42.1
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
42.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
41.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
41.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
41.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
41.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
41.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
41.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
41.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
41.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
41.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
40.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
40.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
40.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
39.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
39.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
39.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
39.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
38.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
37.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
37.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
37.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
36.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
36.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
36.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
36.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
35.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
34.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
34.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
33.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
33.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
33.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
33.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
32.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
32.6
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
32.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
31.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
30.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
29.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
28.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
27.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
25.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
24.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 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.
SSR1 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
111.0
Number of samples
486
Samples
Sample
Description
TPM
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
268.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
252.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
246.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
234.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
231.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
230.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
220.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
219.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
218.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
216.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
211.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
208.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
205.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
202.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
201.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
194.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
190.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
189.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
189.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
188.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
186.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
185.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
185.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
185.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
184.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
184.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
184.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
184.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
181.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
180.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
179.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
176.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
175.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
175.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
175.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
174.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
172.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
169.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
168.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
168.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
167.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
167.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
165.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
165.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
165.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
164.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
164.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
164.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
163.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
163.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
163.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
162.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
159.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
158.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
158.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
158.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
156.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
156.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
156.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
155.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
155.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
155.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
155.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
154.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
154.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
153.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
153.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
152.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
152.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
150.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
149.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
147.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
147.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
146.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
146.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
146.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
145.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
145.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
145.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
145.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
144.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
143.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
143.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
142.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
140.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
139.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
139.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
138.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
138.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
138.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
137.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
137.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
137.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
137.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
136.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
136.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
136.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
136.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
135.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
135.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
135.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
135.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
134.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
134.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
134.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
133.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
133.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
133.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
133.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
133.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
132.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
132.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
132.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
132.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
132.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
132.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
131.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
131.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
131.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
131.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
130.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
130.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
129.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
129.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
128.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
128.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
127.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
127.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
127.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
127.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
127.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
127.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
127.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
127.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
126.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
126.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
125.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
125.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
125.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
125.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
125.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
125.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
124.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
124.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
124.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
124.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
123.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
123.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
123.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
123.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
122.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
122.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
122.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
122.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
122.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
121.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
121.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
120.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
120.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
120.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
120.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
120.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
119.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
119.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
119.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
118.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
118.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
118.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
117.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
117.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
117.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
117.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
117.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
117.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
116.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
116.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
116.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
116.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
116.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
116.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
115.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
115.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
115.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
115.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
115.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
115.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
114.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
114.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
114.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
114.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
114.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
114.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
114.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
113.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
113.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
113.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
113.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
113.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
112.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
112.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
112.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
112.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
112.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
112.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
111.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
111.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
111.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
111.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
111.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
110.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
110.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
110.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
110.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
110.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
109.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
109.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
108.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
108.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
108.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
107.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
107.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
107.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
107.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
107.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
107.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
107.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
107.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
107.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
106.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
106.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
106.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
106.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
106.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
106.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
106.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
105.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
105.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
105.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
104.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
104.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
104.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
103.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
103.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
103.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
103.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
103.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
102.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
102.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
102.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
102.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
102.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
102.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
102.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
101.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
101.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
101.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
101.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
101.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
101.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
100.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
100.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
100.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
100.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
100.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
100.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
100.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
99.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
99.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
99.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
99.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
98.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
98.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
98.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
98.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
98.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
98.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
97.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
97.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
97.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
97.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
97.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
97.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
97.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
97.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
97.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
96.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
96.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
96.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
96.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
96.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
96.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
95.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
95.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
95.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
95.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
95.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
95.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
95.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
95.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
95.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
95.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
94.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
94.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
94.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
94.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
94.2
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
94.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
94.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
94.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
93.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
92.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
92.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
92.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
92.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
92.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
92.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
92.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
91.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
91.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
91.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
90.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
90.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
90.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
90.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
90.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
90.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
89.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
89.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
89.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
89.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
89.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
89.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
89.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
89.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
89.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
89.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
89.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
89.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
88.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
88.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
88.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
88.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
88.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
88.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
88.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
87.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
87.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
87.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
87.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
87.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
87.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
87.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
86.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
86.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
86.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
86.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
86.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
86.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
86.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
86.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
86.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
86.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
85.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
85.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
85.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
85.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
85.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
85.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
85.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
85.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
85.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
85.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
84.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
84.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
84.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
83.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
83.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
83.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
83.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
83.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
83.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
83.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
82.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
82.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
82.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
82.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
81.9
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
81.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
81.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
81.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
81.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
80.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
80.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
80.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
80.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
80.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
80.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
80.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
79.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
79.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
79.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
79.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
79.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
79.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
79.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
79.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
78.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
78.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
78.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
77.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
77.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
76.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
76.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
76.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
76.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
76.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
76.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
76.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
76.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
75.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
75.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
75.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
75.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
75.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
74.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
74.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
74.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
74.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
74.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
74.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
74.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
74.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
73.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
73.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
73.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
73.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
72.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
72.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
72.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
72.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
72.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
71.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
71.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
70.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
70.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
69.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
68.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
68.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
67.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
67.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
67.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
67.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
66.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
66.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
66.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
65.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
65.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
65.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
65.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
64.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
64.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
64.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
64.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
63.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
63.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
61.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
61.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
60.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
58.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
57.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
57.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
57.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
55.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
54.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
54.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
54.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
54.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
53.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
53.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
51.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
46.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
42.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
41.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
33.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
6.7
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SSR1 is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
64.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
168.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
157.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
137.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
122.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
109.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
103.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
100.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
99.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
95.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
92.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
91.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
89.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
88.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
87.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
87.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
85.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
84.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
84.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
83.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
83.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
82.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
82.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
82.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
82.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
81.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
80.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
76.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
74.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
72.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
71.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
71.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
70.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
68.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
66.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
65.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
65.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
64.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
64.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
63.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
63.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
63.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
62.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
62.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
62.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
61.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
58.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
58.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
57.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
56.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
56.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
56.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
55.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
54.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
53.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
52.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
51.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
51.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
50.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
50.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
50.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
49.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
48.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
46.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
46.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
45.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
45.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
45.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
45.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
44.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
42.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
42.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
41.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
40.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
39.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
39.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
38.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
38.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
38.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
37.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
36.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
36.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
36.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
25.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
21.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
20.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
19.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
17.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SSR1 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
98.3
Number of samples
207
Samples
Sample
Description
TPM
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
235.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
194.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
191.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
171.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
157.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
149.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
149.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
147.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
146.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
143.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
142.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
142.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
142.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
140.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
140.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
139.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
136.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
136.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
135.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
133.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
128.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
127.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
126.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
126.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
126.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
125.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
124.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
124.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
124.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
124.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
123.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
121.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
120.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
120.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
119.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
119.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
116.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
116.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
115.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
114.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
114.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
112.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
112.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
112.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
111.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
111.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
111.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
111.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
111.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
110.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
110.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
110.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
110.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
108.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
107.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
107.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
107.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
107.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
106.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
106.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
105.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
104.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
104.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
104.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
104.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
103.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
103.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
102.6
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
102.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
102.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
101.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
101.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
101.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
100.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
100.5
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
100.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
99.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
99.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
99.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
99.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
99.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
99.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
99.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
98.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
98.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
98.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
98.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
98.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
97.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
97.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
97.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
97.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
97.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
96.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
96.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
96.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
96.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
95.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
95.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
95.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
94.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
94.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
94.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
94.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
94.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
94.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
94.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
94.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
94.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
94.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
94.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
94.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
94.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
93.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
93.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
93.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
93.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
93.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
93.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
92.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
92.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
92.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
92.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
91.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
91.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
91.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
91.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
91.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
90.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
89.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
89.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
89.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
89.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
88.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
87.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
87.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
87.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
86.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
86.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
85.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
85.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
85.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
85.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
85.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
85.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
85.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
84.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
84.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
84.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
84.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
84.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
83.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
83.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
83.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
83.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
82.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
82.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
82.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
82.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
82.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
81.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
81.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
81.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
81.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
81.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
80.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
80.8
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
80.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
80.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
80.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
79.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
79.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
78.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
78.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
78.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
77.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
77.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
77.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
77.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
75.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
75.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
74.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
73.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
73.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
73.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
73.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
72.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
71.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
71.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
70.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
69.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
69.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
67.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
65.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
65.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
63.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
62.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
58.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
58.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
58.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
58.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
56.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
51.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
50.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
50.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
34.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
32.9
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.9
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.8
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.7
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.7
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.7
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.6
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.6
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.6
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.6
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.6
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.6
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.6
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.6
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.5
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.5
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.5
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.5
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.5
43192517-085e-450e-9481-0a6713_D3
Tumor
0.5
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.5
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.5
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.4
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.4
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.4
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.4
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
b2400046-1d25-429d-a821-6040a6
Tumor
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.4
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.4
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.4
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.5
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.5
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.5
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.5
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.5
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.5
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.5
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.5
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.6
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.6
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.6
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.6
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.6
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.6
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.6
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.6
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.7
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.7
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.7
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.7
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.8
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-1.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
-1.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-1.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-1.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-1.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.6
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
