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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
KHDRBS1 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
83.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
138.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
129.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
124.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
121.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
121.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
120.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
116.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
116.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
115.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
114.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
114.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
113.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
112.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
111.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
110.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
109.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
109.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
109.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
109.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
108.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
108.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
107.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
107.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
106.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
106.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
106.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
106.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
105.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
104.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
104.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
104.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
103.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
103.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
103.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
103.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
103.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
102.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
102.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
102.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
102.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
102.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
100.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
100.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
99.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
99.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
98.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
98.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
97.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
97.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
97.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
96.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
96.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
96.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
96.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
96.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
96.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
95.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
95.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
95.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
95.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
95.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
94.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
94.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
94.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
94.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
93.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
93.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
93.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
93.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
93.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
93.0
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
93.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
93.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
92.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
92.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
92.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
92.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
92.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
92.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
92.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
91.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
91.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
91.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
90.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
90.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
90.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
89.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
89.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
89.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
89.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
89.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
89.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
88.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
88.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
88.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
88.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
88.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
87.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
87.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
87.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
87.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
86.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
86.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
86.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
86.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
86.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
86.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
85.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
85.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
85.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
85.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
85.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
85.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
85.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
84.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
84.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
83.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
83.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
83.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
83.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
83.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
82.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
82.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
82.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
82.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
82.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
82.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
82.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
81.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
81.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
81.5
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
81.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
81.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
81.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
81.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
81.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
80.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
80.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
80.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
79.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
79.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
79.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
79.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
79.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
79.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
79.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
78.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
78.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
78.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
78.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
77.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
77.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
77.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
77.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
77.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
77.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
77.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
77.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
77.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
77.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
77.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
76.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
76.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
76.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
76.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
76.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
76.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
76.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
76.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
75.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
75.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
75.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
74.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
74.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
74.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
74.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
74.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
74.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
74.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
73.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
73.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
73.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
73.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
73.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
72.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
72.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
72.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
72.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
72.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
72.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
72.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
71.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
71.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
71.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
71.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
71.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
71.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
70.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
70.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
70.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
69.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
69.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
69.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
69.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
69.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
69.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
68.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
68.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
68.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
67.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
67.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
67.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
67.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
67.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
66.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
65.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
65.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
65.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
64.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
64.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
64.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
64.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
63.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
62.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
62.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
62.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
62.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
61.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
61.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
61.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
61.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
60.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
60.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
60.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
60.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
59.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
58.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
57.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
57.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
56.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
56.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
56.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
55.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
55.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
54.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
54.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
53.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
52.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
51.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
48.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
46.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
44.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
KHDRBS1 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
90.4
Number of samples
486
Samples
Sample
Description
TPM
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
147.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
147.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
143.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
142.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
140.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
139.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
139.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
138.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
135.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
134.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
134.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
134.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
133.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
132.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
131.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
127.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
127.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
127.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
126.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
126.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
125.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
125.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
124.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
124.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
124.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
122.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
122.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
122.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
122.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
122.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
121.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
120.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
120.2
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
119.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
119.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
119.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
118.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
118.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
118.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
118.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
118.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
117.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
116.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
116.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
116.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
116.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
115.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
115.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
115.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
115.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
114.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
114.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
114.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
114.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
114.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
114.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
113.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
113.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
113.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
113.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
112.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
112.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
111.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
111.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
111.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
111.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
109.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
109.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
109.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
109.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
108.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
108.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
108.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
108.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
108.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
108.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
108.1
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
107.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
107.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
107.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
107.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
107.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
107.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
106.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
106.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
106.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
106.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
106.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
106.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
106.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
106.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
105.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
105.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
105.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
105.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
104.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
104.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
104.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
104.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
103.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
103.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
103.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
103.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
103.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
103.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
103.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
103.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
103.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
103.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
102.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
102.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
102.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
102.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
102.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
102.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
102.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
102.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
102.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
102.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
101.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
101.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
101.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
101.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
101.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
101.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
101.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
101.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
101.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
100.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
100.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
100.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
100.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
100.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
100.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
100.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
100.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
100.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
99.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
99.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
99.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
99.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
99.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
99.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
99.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
99.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
98.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
98.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
98.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
98.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
98.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
98.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
98.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
98.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
98.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
98.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
98.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
97.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
97.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
97.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
97.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
97.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
97.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
97.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
97.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
97.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
97.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
97.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
96.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
96.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
96.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
96.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
96.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
96.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
96.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
96.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
96.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
95.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
95.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
95.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
95.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
95.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
95.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
95.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
95.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
95.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
94.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
94.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
94.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
94.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
94.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
94.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
94.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
94.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
94.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
94.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
93.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
93.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
93.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
93.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
93.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
93.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
93.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
93.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
93.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
93.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
93.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
92.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
92.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
92.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
92.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
92.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
92.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
92.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
92.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
92.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
92.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
91.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
91.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
91.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
91.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
91.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
91.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
91.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
91.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
90.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
90.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
90.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
90.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
90.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
90.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
90.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
90.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
90.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
89.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
89.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
89.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
89.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
89.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
89.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
89.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
89.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
89.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
88.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
88.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
88.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
88.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
88.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
88.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
88.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
88.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
88.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
88.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
88.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
88.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
88.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
88.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
88.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
87.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
87.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
87.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
87.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
87.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
87.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
87.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
86.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
86.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
86.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
86.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
86.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
86.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
86.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
86.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
86.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
85.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
85.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
85.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
85.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
85.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
85.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
85.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
85.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
85.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
85.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
85.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
84.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
84.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
84.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
84.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
84.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
84.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
84.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
84.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
84.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
84.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
84.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
84.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
84.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
83.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
83.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
83.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
83.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
83.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
83.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
83.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
83.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
83.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
83.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
83.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
83.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
83.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
82.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
82.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
82.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
82.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
82.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
82.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
82.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
82.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
82.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
82.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
82.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
82.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
82.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
82.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
82.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
82.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
82.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
81.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
81.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
81.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
81.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
81.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
81.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
81.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
81.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
81.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
81.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
81.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
80.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
80.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
80.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
80.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
80.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
80.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
79.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
79.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
79.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
79.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
79.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
79.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
79.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
79.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
79.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
79.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
79.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
79.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
79.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
79.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
79.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
78.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
78.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
78.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
78.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
78.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
78.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
78.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
78.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
77.8
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
77.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
77.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
77.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
77.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
77.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
77.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
76.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
76.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
76.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
76.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
76.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
76.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
76.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
76.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
76.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
76.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
76.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
76.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
76.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
76.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
75.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
75.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
75.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
75.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
75.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
75.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
74.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
74.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
74.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
74.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
74.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
74.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
74.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
74.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
74.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
73.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
73.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
73.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
73.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
73.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
72.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
72.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
72.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
72.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
72.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
72.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
72.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
72.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
72.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
72.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
71.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
71.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
71.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
71.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
71.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
71.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
71.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
70.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
70.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
70.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
70.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
70.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
70.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
70.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
70.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
69.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
69.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
69.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
69.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
69.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
68.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
68.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
68.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
68.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
68.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
67.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
67.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
67.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
66.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
66.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
66.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
66.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
65.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
65.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
65.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
65.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
65.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
64.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
64.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
64.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
64.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
63.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
63.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
63.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
63.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
63.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
63.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
62.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
62.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
61.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
60.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
60.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
60.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
58.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
57.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
56.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
56.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
53.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
53.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
52.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
51.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
50.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
48.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
48.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
43.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
40.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
4.1
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.
KHDRBS1 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
84.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
131.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
128.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
123.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
122.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
121.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
120.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
117.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
117.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
116.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
112.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
112.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
111.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
108.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
106.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
104.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
104.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
104.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
100.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
99.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
98.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
98.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
98.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
97.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
96.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
96.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
95.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
95.4
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
95.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
94.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
90.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
89.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
89.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
89.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
88.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
87.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
86.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
86.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
85.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
85.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
84.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
84.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
84.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
84.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
83.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
82.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
82.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
82.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
82.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
81.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
79.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
79.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
79.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
78.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
78.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
77.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
76.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
76.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
76.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
76.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
75.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
74.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
74.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
74.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
74.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
73.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
72.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
71.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
71.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
70.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
70.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
70.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
68.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
68.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
68.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
65.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
64.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
64.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
58.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
58.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
56.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
55.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
54.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
51.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
47.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
44.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
38.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
36.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
KHDRBS1 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
80.0
Number of samples
207
Samples
Sample
Description
TPM
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
131.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
125.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
125.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
120.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
116.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
115.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
114.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
114.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
113.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
113.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
110.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
110.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
107.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
105.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
104.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
103.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
103.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
102.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
102.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
101.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
101.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
100.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
100.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
100.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
100.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
99.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
99.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
98.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
98.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
98.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
98.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
98.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
98.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
98.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
97.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
97.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
96.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
96.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
96.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
95.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
95.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
95.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
95.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
95.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
94.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
93.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
93.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
93.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
92.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
92.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
92.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
92.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
92.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
91.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
90.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
90.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
90.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
90.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
90.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
89.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
89.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
89.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
89.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
88.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
88.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
88.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
88.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
88.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
88.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
88.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
87.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
87.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
87.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
87.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
86.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
86.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
86.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
86.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
86.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
85.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
85.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
85.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
83.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
83.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
83.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
83.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
83.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
83.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
82.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
82.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
82.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
82.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
82.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
81.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
81.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
81.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
81.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
81.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
81.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
81.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
80.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
80.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
79.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
79.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
79.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
78.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
78.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
78.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
78.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
78.1
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
77.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
77.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
77.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
77.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
77.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
76.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
76.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
76.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
76.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
75.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
75.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
75.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
75.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
75.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
74.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
74.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
74.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
74.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
74.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
73.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
73.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
73.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
73.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
73.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
72.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
72.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
71.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
71.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
71.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
71.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
70.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
70.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
70.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
70.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
70.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
70.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
69.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
69.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
68.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
68.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
68.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
68.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
68.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
67.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
67.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
67.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
67.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
66.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
66.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
66.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
66.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
65.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
65.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
65.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
65.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
64.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
64.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
64.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
64.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
63.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
63.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
63.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
63.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
63.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
63.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
62.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
62.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
62.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
61.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
61.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
60.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
60.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
60.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
60.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
59.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
59.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
59.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
59.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
58.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
57.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
57.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
56.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
55.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
55.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
54.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
54.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
53.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
52.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
51.8
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
51.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
51.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
51.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
50.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
48.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
39.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
36.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
6.9
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.5
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.5
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.5
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
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Tumor
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.4
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.4
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.4
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.5
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.5
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.5
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.6
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.6
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.7
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.7
b2400046-1d25-429d-a821-6040a6
Tumor
-0.8
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
