We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
NOSIP 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
71.5
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
225.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
177.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
150.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
149.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
145.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
138.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
136.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
131.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
129.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
125.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
122.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
122.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
118.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
115.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
113.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
110.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
109.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
106.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
105.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
104.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
104.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
104.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
102.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
101.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
100.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
100.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
99.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
97.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
97.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
96.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
96.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
95.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
95.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
92.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
91.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
91.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
90.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
90.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
89.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
88.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
88.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
88.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
88.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
87.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
87.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
87.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
87.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
86.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
86.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
86.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
86.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
86.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
86.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
85.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
85.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
85.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
84.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
84.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
83.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
83.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
83.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
83.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
83.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
83.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
83.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
81.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
81.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
81.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
81.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
81.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
81.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
79.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
79.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
79.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
79.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
79.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
79.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
78.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
78.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
78.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
78.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
78.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
77.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
76.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
76.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
75.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
75.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
75.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
75.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
75.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
75.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
74.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
74.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
74.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
74.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
74.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
74.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
74.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
73.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
73.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
73.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
73.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
72.9
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
72.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
72.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
72.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
72.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
72.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
71.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
71.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
71.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
70.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
70.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
70.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
69.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
69.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
69.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
69.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
68.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
67.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
67.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
67.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
67.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
67.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
66.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
66.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
66.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
66.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
66.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
66.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
66.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
65.8
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
65.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
65.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
65.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
65.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
65.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
65.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
64.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
64.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
64.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
64.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
64.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
64.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
63.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
63.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
63.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
62.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
62.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
62.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
62.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
62.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
62.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
62.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
62.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
61.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
61.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
61.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
61.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
61.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
60.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
59.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
59.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
59.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
59.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
59.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
58.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
58.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
58.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
58.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
58.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
57.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
57.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
57.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
57.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
57.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
57.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
57.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
56.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
56.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
56.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
56.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
55.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
55.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
55.5
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
55.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
55.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
55.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
54.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
54.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
54.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
54.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
54.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
53.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
53.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
53.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
53.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
53.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
52.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
52.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
52.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
52.7
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
52.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
52.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
52.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
52.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
52.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
52.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
51.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
51.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
51.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
51.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
51.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
51.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
51.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
50.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
50.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
49.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
48.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
48.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
47.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
47.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
47.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
47.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
46.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
46.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
46.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
45.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
45.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
45.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
45.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
45.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
44.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
44.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
44.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
44.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
44.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
44.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
44.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
43.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
43.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
43.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
43.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
42.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
42.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
41.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
41.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
41.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
40.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
39.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
38.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
38.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
34.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
NOSIP 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
34.3
Number of samples
486
Samples
Sample
Description
TPM
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
73.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
70.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
68.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
67.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
64.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
64.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
63.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
62.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
61.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
60.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
60.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
59.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
59.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
57.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
57.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
57.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
56.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
54.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
54.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
53.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
53.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
53.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
52.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
52.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
51.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
51.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
51.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
50.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
50.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
50.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
50.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
49.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
49.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
49.5
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
49.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
49.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
49.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
48.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
48.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
48.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
48.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
48.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
48.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
48.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
48.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
47.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
47.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
47.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
47.3
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
47.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
46.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
46.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
46.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
46.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
46.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
46.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
45.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
45.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
45.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
45.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
45.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
45.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
45.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
44.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
44.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
44.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
44.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
44.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
44.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
43.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
43.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
43.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
43.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
43.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
43.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
43.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
42.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
42.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
42.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
42.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
42.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
42.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
42.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
42.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
41.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
41.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
41.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
41.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
41.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
41.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
41.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
41.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
41.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
41.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
40.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
40.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
40.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
40.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
40.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
40.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
40.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
40.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
40.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
40.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
40.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
40.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
40.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
40.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
40.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
40.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
40.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
39.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
39.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
39.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
39.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
39.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
39.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
39.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
39.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
39.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
38.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
38.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
38.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
38.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
38.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
38.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
38.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
38.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
38.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
38.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
38.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
38.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
38.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
38.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
38.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
38.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
38.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
38.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
38.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
38.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
38.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
38.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
38.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
38.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
38.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
38.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
37.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
37.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
37.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
37.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
37.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
37.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
37.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
37.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
37.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
37.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
37.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
37.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
37.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
37.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
37.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
37.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
37.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
37.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
36.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
36.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
36.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
36.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
36.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
36.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
36.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
36.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
36.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
36.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
36.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
36.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
36.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
36.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
36.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
36.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
36.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
36.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
36.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
36.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
35.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
35.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
35.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
35.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
35.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
35.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
35.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
35.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
35.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
35.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
35.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
35.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
35.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
35.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
35.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
35.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
35.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
35.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
35.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
35.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
35.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
35.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
35.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
35.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
35.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
35.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
34.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
34.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
34.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
34.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
34.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
34.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
34.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
34.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
34.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
34.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
34.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
34.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
34.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
34.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
34.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
34.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
34.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
34.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
34.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
34.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
34.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
34.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
34.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
34.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
33.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
33.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
33.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
33.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
33.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
33.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
33.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
33.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
33.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
33.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
33.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
33.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
33.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
33.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
33.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
33.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
33.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
33.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
33.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
33.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
33.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
33.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
33.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
32.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
32.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
32.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
32.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
32.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
32.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
32.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
32.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
32.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
32.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
32.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
32.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
32.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
32.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
32.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
32.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
32.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
32.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
32.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
32.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
32.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
32.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
32.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
31.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
31.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
31.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
31.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
31.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
31.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
31.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
31.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
31.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
31.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
31.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
31.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
31.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
31.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
30.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
30.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
30.8
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
30.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
30.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
30.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
30.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
30.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
30.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
30.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
30.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
30.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
30.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
30.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
30.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
30.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
30.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
30.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
30.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
30.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
30.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
30.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
30.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
30.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
30.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
30.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
30.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
30.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
29.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
29.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
29.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
29.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
29.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
29.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
29.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
29.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
29.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
29.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
29.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
29.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
29.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
29.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
29.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
29.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
29.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
29.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
29.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
29.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
29.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
29.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
28.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
28.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
28.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
28.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
28.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
28.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
28.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
28.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
28.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
28.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
28.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
28.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
28.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
28.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
28.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
28.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
28.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
28.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
28.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
28.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
27.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
27.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
27.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
27.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
27.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
27.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
27.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
27.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
27.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
27.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
27.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
27.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
27.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
27.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
27.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
26.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
26.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
26.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
26.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
26.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
26.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
26.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
26.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
26.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
26.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
26.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
26.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
26.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
26.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
26.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
25.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
25.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
25.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
25.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
25.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
25.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
25.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
25.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
25.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
25.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
25.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
25.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
25.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
25.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
25.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
25.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
25.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
25.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
25.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
24.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
24.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
24.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
24.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
24.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
24.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
24.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
24.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
24.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
24.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
24.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
24.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
24.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
24.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
24.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
24.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
24.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
23.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
23.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
23.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
23.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
23.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
23.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
23.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
23.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
23.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
23.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
23.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
23.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
22.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
22.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
22.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
22.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
22.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
22.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
22.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
22.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
22.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
22.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
22.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
21.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
21.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
21.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
21.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
21.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
21.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
21.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
21.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
21.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
20.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
20.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
20.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
20.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
19.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
19.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
19.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
19.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
19.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
19.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
18.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
18.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
18.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
18.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
17.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
17.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
17.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
17.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
17.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
16.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
15.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
6.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.6
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.
NOSIP 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
70.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
231.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
142.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
137.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
136.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
115.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
114.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
101.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
101.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
98.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
97.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
97.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
89.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
88.4
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
87.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
87.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
87.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
86.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
85.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
84.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
84.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
82.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
82.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
80.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
79.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
78.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
77.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
76.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
75.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
75.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
74.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
74.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
72.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
71.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
71.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
71.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
70.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
70.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
70.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
69.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
69.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
68.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
67.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
66.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
65.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
65.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
65.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
65.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
62.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
62.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
62.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
62.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
61.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
61.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
58.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
57.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
56.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
56.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
55.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
55.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
55.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
54.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
53.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
53.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
53.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
52.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
52.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
52.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
51.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
51.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
51.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
50.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
49.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
49.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
49.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
48.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
48.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
47.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
46.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
46.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
45.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
42.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
42.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
40.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
40.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
38.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
38.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
37.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 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.
NOSIP 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
31.9
Number of samples
207
Samples
Sample
Description
TPM
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
95.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
74.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
63.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
62.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
59.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
59.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
57.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
54.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
53.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
50.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
49.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
49.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
48.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
47.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
47.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
45.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
45.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
45.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
45.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
43.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
43.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
42.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
42.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
42.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
41.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
41.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
41.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
41.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
41.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
40.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
40.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
40.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
40.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
39.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
39.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
39.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
39.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
39.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
38.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
38.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
38.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
38.0
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
37.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
37.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
37.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
37.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
37.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
37.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
37.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
37.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
36.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
36.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
36.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
36.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
36.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
36.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
35.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
35.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
35.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
35.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
35.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
35.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
35.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
35.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
34.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
34.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
34.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
34.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
34.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
34.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
34.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
34.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
34.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
34.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
34.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
34.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
33.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
33.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
33.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
33.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
33.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
33.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
32.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
32.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
32.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
32.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
32.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
32.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
32.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
32.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
32.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
31.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
31.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
31.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
31.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
31.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
31.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
31.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
31.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
31.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
31.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
31.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
30.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
30.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
30.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
30.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
30.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
30.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
30.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
30.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
30.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
30.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
29.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
29.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
29.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
29.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
29.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
29.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
29.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
29.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
28.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
28.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
28.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
28.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
28.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
28.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
28.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
28.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
28.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
28.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
28.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
27.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
27.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
27.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
27.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
27.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
27.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
27.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
27.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
27.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
27.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
26.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
26.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
26.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
25.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
25.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
25.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
25.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
25.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
25.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
25.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
25.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
25.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
25.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
25.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
24.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
24.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
24.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
24.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
24.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
24.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
24.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
24.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
23.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
23.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
23.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
23.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
23.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
23.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
22.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
22.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
22.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
22.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
22.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
22.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
22.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
22.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
21.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
21.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
21.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
21.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
21.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
21.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
21.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
21.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
20.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
20.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
20.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
20.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
20.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
20.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
20.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
19.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
19.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
19.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
18.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
18.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
18.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
18.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
17.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
16.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
16.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
15.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
15.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
14.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
11.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
9.8
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.8
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.8
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.8
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.7
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.7
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.6
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.6
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.5
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.5
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.5
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.5
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.4
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.0
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.0
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.4
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.4
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.4
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.4
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.5
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.5
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.5
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.5
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.6
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.6
b2400046-1d25-429d-a821-6040a6
Tumor
-0.6
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.6
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.6
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.6
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.6
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.7
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.7
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.7
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.8
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.8
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.9
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.9
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-1.7
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
