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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.
SSR3 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
100.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
285.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
237.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
228.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
222.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
204.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
201.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
194.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
183.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
179.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
175.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
175.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
174.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
171.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
168.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
167.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
161.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
161.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
155.5
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
154.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
153.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
152.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
150.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
150.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
149.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
145.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
144.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
141.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
138.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
137.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
136.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
136.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
134.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
134.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
133.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
133.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
132.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
132.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
131.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
128.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
126.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
125.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
125.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
124.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
124.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
124.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
122.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
122.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
120.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
120.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
120.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
119.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
119.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
118.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
118.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
118.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
118.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
116.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
116.2
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
116.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
115.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
115.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
115.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
114.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
114.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
114.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
114.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
114.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
113.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
113.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
113.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
112.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
112.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
112.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
112.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
110.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
110.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
109.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
109.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
109.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
109.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
109.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
109.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
108.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
108.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
108.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
108.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
108.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
108.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
107.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
107.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
106.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
106.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
106.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
106.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
106.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
105.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
104.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
103.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
103.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
102.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
100.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
100.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
100.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
100.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
100.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
99.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
99.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
99.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
99.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
98.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
98.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
97.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
97.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
97.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
97.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
97.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
97.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
97.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
96.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
96.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
96.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
96.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
95.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
95.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
95.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
95.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
94.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
94.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
94.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
93.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
92.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
92.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
92.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
92.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
92.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
92.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
91.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
91.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
91.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
91.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
91.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
90.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
90.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
89.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
89.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
89.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
88.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
88.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
88.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
88.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
88.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
88.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
88.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
88.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
87.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
86.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
86.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
86.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
86.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
85.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
85.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
85.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
85.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
85.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
85.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
85.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
85.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
84.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
84.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
83.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
82.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
82.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
82.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
82.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
82.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
82.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
82.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
82.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
81.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
81.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
81.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
80.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
80.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
80.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
80.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
79.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
79.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
78.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
78.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
78.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
78.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
78.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
77.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
77.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
77.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
76.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
76.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
75.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
74.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
73.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
73.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
73.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
73.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
72.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
72.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
72.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
71.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
71.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
71.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
70.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
70.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
69.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
68.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
68.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
68.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
68.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
68.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
67.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
67.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
67.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
67.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
67.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
66.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
66.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
65.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
65.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
65.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
65.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
64.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
63.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
62.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
62.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
62.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
62.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
62.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
61.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
61.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
60.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
59.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
57.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
57.1
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
56.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
56.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
55.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
55.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
54.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
53.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
53.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
53.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
53.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
52.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
46.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
46.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 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.
SSR3 is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
103.7
Number of samples
486
Samples
Sample
Description
TPM
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
268.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
266.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
256.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
242.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
222.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
208.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
206.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
199.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
199.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
197.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
193.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
192.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
192.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
190.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
190.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
183.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
183.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
182.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
182.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
182.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
181.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
180.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
180.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
176.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
175.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
175.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
173.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
173.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
172.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
170.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
168.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
167.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
166.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
166.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
165.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
164.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
163.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
162.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
162.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
162.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
161.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
160.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
159.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
159.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
158.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
158.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
157.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
156.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
156.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
155.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
153.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
152.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
151.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
151.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
150.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
149.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
148.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
147.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
147.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
146.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
145.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
145.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
145.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
145.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
144.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
144.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
143.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
143.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
143.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
142.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
141.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
140.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
139.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
139.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
139.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
139.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
139.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
139.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
138.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
137.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
137.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
137.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
137.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
136.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
136.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
136.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
136.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
136.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
136.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
135.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
135.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
135.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
135.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
134.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
134.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
134.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
134.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
133.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
133.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
132.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
132.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
132.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
131.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
131.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
131.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
130.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
130.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
129.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
129.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
128.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
128.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
126.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
126.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
125.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
125.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
125.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
125.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
124.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
123.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
123.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
123.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
121.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
121.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
121.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
121.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
120.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
120.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
120.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
120.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
119.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
119.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
119.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
119.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
119.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
117.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
117.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
116.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
116.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
115.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
115.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
115.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
115.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
115.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
115.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
114.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
114.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
114.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
113.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
113.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
112.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
112.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
112.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
112.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
111.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
111.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
111.8
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
111.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
111.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
111.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
110.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
110.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
110.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
110.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
110.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
110.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
109.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
109.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
109.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
109.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
108.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
108.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
108.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
107.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
107.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
106.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
106.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
106.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
106.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
106.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
105.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
105.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
104.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
104.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
104.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
103.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
103.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
103.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
103.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
102.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
102.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
102.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
102.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
102.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
102.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
102.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
102.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
102.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
101.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
101.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
101.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
101.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
101.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
100.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
100.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
100.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
100.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
100.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
100.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
100.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
99.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
99.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
99.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
99.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
99.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
99.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
98.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
98.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
98.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
98.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
98.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
98.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
97.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
97.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
97.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
97.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
97.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
96.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
96.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
96.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
96.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
96.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
96.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
96.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
96.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
96.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
96.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
95.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
95.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
95.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
95.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
95.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
95.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
94.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
94.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
94.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
94.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
93.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
93.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
93.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
93.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
93.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
93.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
93.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
93.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
93.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
93.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
92.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
92.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
92.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
92.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
91.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
91.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
91.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
91.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
91.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
91.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
91.3
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
91.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
91.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
91.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
91.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
90.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
90.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
90.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
90.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
90.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
90.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
90.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
89.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
89.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
89.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
89.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
89.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
89.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
89.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
89.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
88.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
88.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
88.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
88.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
88.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
88.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
88.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
88.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
88.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
88.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
88.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
88.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
87.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
87.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
87.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
87.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
87.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
86.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
86.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
86.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
86.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
86.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
86.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
86.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
86.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
86.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
86.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
86.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
85.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
85.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
85.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
85.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
84.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
84.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
84.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
84.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
84.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
83.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
83.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
83.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
83.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
83.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
83.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
82.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
82.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
82.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
82.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
82.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
82.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
82.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
82.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
82.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
82.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
82.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
82.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
82.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
81.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
81.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
81.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
81.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
81.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
81.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
81.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
81.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
80.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
80.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
80.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
80.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
80.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
80.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
80.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
80.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
80.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
80.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
80.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
80.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
80.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
79.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
79.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
79.8
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
79.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
79.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
79.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
79.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
79.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
78.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
78.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
78.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
78.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
78.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
78.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
78.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
78.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
78.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
77.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
77.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
76.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
76.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
76.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
76.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
76.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
76.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
75.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
75.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
74.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
74.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
74.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
74.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
74.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
74.2
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
74.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
74.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
74.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
73.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
73.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
73.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
73.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
72.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
72.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
72.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
72.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
71.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
71.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
71.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
71.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
71.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
70.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
70.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
70.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
69.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
69.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
69.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
69.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
68.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
68.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
68.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
68.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
67.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
67.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
67.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
67.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
67.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
67.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
67.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
66.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
66.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
66.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
66.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
66.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
66.1
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
66.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
65.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
65.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
65.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
65.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
65.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
65.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
64.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
64.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
64.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
63.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
63.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
63.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
63.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
63.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
62.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
62.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
62.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
62.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
62.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
62.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
62.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
61.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
61.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
61.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
61.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
61.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
61.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
60.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
60.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
58.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
58.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
58.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
55.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
55.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
54.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
54.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
54.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
53.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
52.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
50.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
50.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
48.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
45.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
43.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
43.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
37.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
36.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.4
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.
SSR3 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
98.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
214.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
169.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
168.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
163.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
157.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
145.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
141.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
134.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
130.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
128.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
127.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
126.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
126.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
124.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
124.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
124.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
122.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
121.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
120.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
120.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
120.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
118.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
116.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
116.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
116.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
116.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
115.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
114.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
113.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
112.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
108.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
107.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
105.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
103.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
103.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
100.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
99.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
99.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
99.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
98.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
98.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
97.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
96.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
95.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
94.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
94.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
94.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
94.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
93.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
92.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
91.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
91.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
91.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
91.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
91.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
89.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
88.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
88.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
86.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
86.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
85.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
85.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
85.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
84.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
82.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
81.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
81.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
79.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
78.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
77.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
73.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
71.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
70.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
70.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
69.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
67.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
67.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
67.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
64.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
60.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
58.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
56.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
48.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
44.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
41.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
28.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
19.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SSR3 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
82.2
Number of samples
207
Samples
Sample
Description
TPM
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
174.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
166.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
160.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
144.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
143.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
141.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
136.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
126.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
125.9
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
124.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
121.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
121.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
120.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
119.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
119.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
117.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
116.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
115.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
114.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
114.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
114.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
112.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
112.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
112.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
111.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
110.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
107.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
107.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
106.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
104.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
103.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
103.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
102.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
102.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
101.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
101.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
101.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
101.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
101.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
101.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
100.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
100.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
99.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
99.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
99.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
97.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
97.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
97.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
97.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
97.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
96.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
95.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
94.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
94.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
94.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
94.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
93.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
92.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
92.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
92.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
92.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
92.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
90.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
90.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
89.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
89.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
89.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
89.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
89.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
88.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
88.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
88.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
88.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
87.6
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
86.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
86.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
86.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
84.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
84.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
84.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
83.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
83.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
83.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
83.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
83.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
83.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
82.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
82.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
82.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
82.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
82.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
82.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
81.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
81.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
81.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
81.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
81.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
80.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
80.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
79.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
78.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
78.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
78.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
78.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
77.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
77.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
77.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
77.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
77.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
77.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
77.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
77.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
76.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
76.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
75.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
75.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
75.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
75.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
75.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
75.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
74.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
74.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
74.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
74.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
74.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
74.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
74.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
74.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
73.7
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
73.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
73.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
73.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
72.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
72.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
71.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
71.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
71.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
71.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
71.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
71.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
70.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
69.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
69.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
69.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
69.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
68.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
68.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
68.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
68.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
68.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
68.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
68.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
67.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
67.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
67.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
67.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
67.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
66.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
66.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
66.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
66.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
66.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
66.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
65.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
65.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
64.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
63.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
63.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
62.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
61.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
61.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
60.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
60.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
59.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
59.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
59.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
59.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
59.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
58.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
58.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
58.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
58.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
58.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
58.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
57.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
57.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
56.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
55.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
55.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
53.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
53.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
52.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
52.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
51.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
51.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
50.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
50.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
49.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
47.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
47.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
44.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
43.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
41.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
41.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
39.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
35.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
21.9
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
1.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
1.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
1.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
1.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
1.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
1.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
1.0
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
1.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.9
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.9
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.9
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.9
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.8
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.8
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.8
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.8
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.7
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.7
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.7
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.7
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.6
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.6
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.6
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.6
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.5
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.5
963fc8db-f412-4427-a198-23f660_D2
Normal
0.5
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.5
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.5
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.5
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.4
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.4
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.4
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
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Normal
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.5
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.5
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.5
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.5
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.5
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.5
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.6
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.6
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.6
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.6
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.6
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.6
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.7
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.7
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.7
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.7
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.7
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.7
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.7
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.7
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.8
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.8
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.8
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.8
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.8
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.8
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.9
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.9
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.9
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.9
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.9
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-1.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-1.0
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-1.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-1.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
-1.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
-1.0
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-1.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-1.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-1.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-1.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-1.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-1.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-1.5
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-1.6
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-1.8
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-1.8
b2400046-1d25-429d-a821-6040a6
Tumor
-2.0
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
