We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
SF1 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
79.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
134.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
133.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
132.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
130.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
128.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
128.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
121.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
117.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
115.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
113.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
113.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
113.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
112.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
111.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
111.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
111.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
111.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
111.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
109.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
109.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
109.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
109.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
107.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
107.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
106.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
106.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
105.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
104.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
103.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
103.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
103.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
102.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
102.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
102.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
102.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
101.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
101.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
101.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
101.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
100.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
100.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
99.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
99.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
98.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
98.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
98.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
97.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
97.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
97.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
97.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
97.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
96.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
96.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
96.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
95.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
95.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
95.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
95.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
94.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
94.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
94.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
94.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
93.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
93.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
92.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
92.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
92.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
92.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
92.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
92.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
92.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
91.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
91.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
91.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
91.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
91.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
91.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
90.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
90.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
90.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
90.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
90.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
90.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
90.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
89.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
89.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
89.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
89.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
88.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
88.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
88.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
88.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
88.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
88.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
88.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
87.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
87.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
87.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
87.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
87.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
86.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
86.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
86.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
86.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
85.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
85.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
85.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
85.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
85.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
84.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
84.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
84.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
83.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
83.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
83.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
82.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
82.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
82.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
82.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
81.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
81.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
81.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
81.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
81.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
81.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
81.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
81.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
81.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
80.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
80.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
80.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
79.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
79.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
79.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
79.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
79.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
79.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
79.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
78.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
78.3
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
78.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
77.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
77.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
77.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
77.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
77.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
76.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
76.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
76.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
76.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
76.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
75.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
75.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
75.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
75.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
75.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
74.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
74.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
73.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
73.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
72.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
72.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
71.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
71.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
71.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
71.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
71.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
70.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
69.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
69.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
69.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
69.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
69.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
69.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
69.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
69.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
69.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
68.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
68.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
68.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
68.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
67.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
67.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
67.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
67.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
67.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
66.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
66.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
66.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
66.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
65.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
65.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
65.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
65.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
64.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
64.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
64.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
64.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
64.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
63.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
63.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
63.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
63.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
62.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
62.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
62.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
62.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
61.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
61.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
61.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
60.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
59.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
59.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
59.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
59.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
59.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
58.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
58.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
57.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
57.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
57.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
57.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
57.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
55.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
54.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
54.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
53.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
52.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
51.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
51.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
50.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
49.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
48.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
48.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
47.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
47.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
45.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
45.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
45.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
44.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
44.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
43.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
43.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
43.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
42.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
41.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
40.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
31.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
29.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
26.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
25.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
24.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
22.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 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.
SF1 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
125.2
Number of samples
486
Samples
Sample
Description
TPM
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
201.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
199.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
185.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
182.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
177.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
177.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
176.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
175.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
175.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
173.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
171.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
168.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
168.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
167.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
167.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
167.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
166.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
166.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
165.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
164.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
164.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
164.0
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
162.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
162.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
162.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
162.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
162.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
162.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
161.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
161.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
161.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
160.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
160.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
160.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
159.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
159.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
159.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
158.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
158.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
158.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
157.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
157.1
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
156.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
156.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
156.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
156.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
155.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
155.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
155.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
155.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
155.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
155.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
155.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
155.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
154.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
154.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
153.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
153.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
153.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
152.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
152.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
152.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
152.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
152.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
152.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
152.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
152.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
152.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
151.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
151.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
151.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
151.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
151.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
151.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
151.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
150.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
150.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
150.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
150.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
149.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
149.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
149.4
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
149.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
149.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
148.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
148.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
148.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
148.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
148.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
147.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
147.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
146.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
146.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
145.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
145.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
145.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
145.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
145.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
144.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
144.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
144.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
142.9
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
142.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
142.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
142.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
141.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
141.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
141.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
141.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
141.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
141.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
141.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
141.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
141.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
141.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
141.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
141.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
141.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
140.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
140.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
140.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
140.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
140.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
140.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
140.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
139.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
139.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
139.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
139.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
139.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
139.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
138.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
138.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
138.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
138.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
138.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
138.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
138.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
138.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
138.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
138.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
137.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
137.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
137.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
137.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
137.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
136.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
136.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
136.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
136.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
136.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
136.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
135.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
135.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
135.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
135.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
135.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
135.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
135.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
135.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
134.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
134.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
134.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
134.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
134.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
134.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
134.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
134.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
134.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
134.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
134.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
133.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
133.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
133.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
133.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
133.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
133.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
133.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
133.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
133.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
132.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
132.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
132.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
132.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
132.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
132.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
131.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
131.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
131.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
131.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
131.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
131.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
131.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
131.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
131.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
130.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
130.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
130.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
130.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
130.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
130.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
130.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
130.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
130.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
129.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
129.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
129.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
129.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
128.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
128.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
128.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
127.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
127.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
127.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
127.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
127.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
127.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
127.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
127.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
127.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
127.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
127.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
127.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
127.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
127.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
127.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
126.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
126.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
126.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
126.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
126.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
125.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
125.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
125.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
125.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
125.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
125.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
125.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
125.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
125.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
125.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
124.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
124.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
124.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
124.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
124.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
124.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
124.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
124.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
123.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
123.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
123.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
123.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
123.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
123.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
123.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
123.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
123.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
122.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
122.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
122.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
122.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
122.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
121.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
121.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
121.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
121.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
121.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
121.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
121.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
121.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
121.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
121.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
120.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
120.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
120.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
120.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
120.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
120.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
120.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
119.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
119.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
119.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
119.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
119.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
119.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
119.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
119.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
119.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
118.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
118.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
118.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
118.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
118.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
118.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
117.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
117.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
117.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
117.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
117.1
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
117.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
116.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
116.8
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
116.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
116.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
116.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
116.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
116.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
116.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
116.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
116.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
116.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
116.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
116.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
116.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
115.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
115.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
115.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
115.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
115.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
115.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
115.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
115.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
115.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
115.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
114.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
114.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
114.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
114.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
114.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
114.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
114.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
113.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
113.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
113.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
113.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
113.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
113.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
113.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
112.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
112.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
112.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
112.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
112.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
111.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
111.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
111.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
111.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
111.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
110.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
110.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
110.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
110.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
110.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
110.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
110.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
110.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
110.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
110.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
109.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
109.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
109.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
109.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
109.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
109.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
109.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
109.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
108.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
108.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
108.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
108.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
108.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
108.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
108.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
108.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
108.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
107.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
107.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
107.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
107.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
107.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
107.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
107.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
107.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
106.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
106.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
106.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
106.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
106.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
106.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
106.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
106.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
106.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
106.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
105.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
105.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
105.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
105.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
105.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
105.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
104.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
104.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
104.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
104.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
104.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
103.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
103.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
103.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
103.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
102.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
102.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
102.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
101.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
101.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
101.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
101.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
100.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
100.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
100.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
100.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
100.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
100.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
100.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
100.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
99.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
99.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
99.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
98.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
98.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
98.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
98.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
98.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
98.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
98.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
98.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
98.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
97.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
97.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
96.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
96.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
95.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
95.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
95.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
95.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
94.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
94.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
94.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
94.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
94.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
94.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
94.5
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
94.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
94.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
94.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
94.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
93.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
93.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
93.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
93.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
92.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
92.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
91.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
90.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
89.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
88.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
88.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
88.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
88.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
86.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
86.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
84.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
84.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
81.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
81.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
81.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
80.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
80.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
80.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
79.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
78.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
76.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
75.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
69.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
48.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.8
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.
SF1 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
79.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
168.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
136.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
126.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
122.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
118.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
117.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
115.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
114.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
108.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
105.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
104.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
104.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
103.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
102.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
101.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
101.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
101.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
101.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
101.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
100.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
99.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
97.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
96.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
96.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
95.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
93.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
93.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
92.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
88.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
88.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
87.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
87.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
87.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
87.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
84.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
83.2
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
82.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
79.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
78.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
78.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
78.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
77.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
76.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
76.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
74.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
74.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
74.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
73.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
72.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
72.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
72.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
71.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
70.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
70.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
70.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
70.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
70.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
68.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
68.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
68.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
67.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
67.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
66.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
66.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
66.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
65.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
64.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
63.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
62.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
61.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
60.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
60.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
60.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
59.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
58.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
56.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
54.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
54.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
54.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
50.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
50.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
48.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
43.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
43.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
38.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
32.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
24.6
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SF1 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
121.1
Number of samples
207
Samples
Sample
Description
TPM
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
199.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
192.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
192.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
190.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
188.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
182.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
170.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
169.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
169.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
169.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
168.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
166.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
164.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
163.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
161.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
160.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
160.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
159.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
159.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
158.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
158.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
158.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
157.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
156.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
155.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
154.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
154.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
154.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
153.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
153.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
152.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
152.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
152.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
151.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
151.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
150.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
150.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
150.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
148.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
146.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
143.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
143.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
143.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
142.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
141.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
141.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
139.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
138.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
137.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
137.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
137.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
137.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
136.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
135.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
135.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
133.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
133.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
132.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
132.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
131.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
131.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
131.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
130.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
130.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
130.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
130.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
129.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
129.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
129.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
128.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
127.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
127.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
126.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
126.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
126.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
126.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
125.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
124.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
123.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
123.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
123.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
122.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
122.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
122.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
121.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
121.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
121.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
121.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
120.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
120.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
118.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
118.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
118.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
117.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
117.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
117.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
117.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
117.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
117.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
117.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
116.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
116.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
116.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
116.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
116.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
116.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
115.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
115.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
115.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
115.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
115.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
115.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
114.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
114.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
114.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
114.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
114.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
113.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
113.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
112.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
112.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
112.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
112.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
112.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
111.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
111.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
111.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
111.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
111.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
110.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
110.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
110.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
110.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
109.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
109.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
109.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
109.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
108.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
108.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
108.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
108.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
107.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
107.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
107.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
107.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
107.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
107.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
106.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
105.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
105.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
104.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
104.9
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
104.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
104.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
104.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
104.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
103.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
103.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
103.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
103.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
103.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
102.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
102.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
102.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
101.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
101.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
100.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
99.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
98.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
98.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
98.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
98.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
97.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
97.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
96.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
95.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
95.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
95.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
95.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
95.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
94.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
94.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
94.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
92.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
91.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
90.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
90.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
90.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
90.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
89.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
88.2
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
87.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
87.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
87.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
87.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
86.8
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
86.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
85.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
84.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
83.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
83.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
82.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
81.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
78.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
74.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
67.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
12.7
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.5
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.5
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.4
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.0
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
b2400046-1d25-429d-a821-6040a6
Tumor
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.6
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
