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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
NASP is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
69.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
181.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
165.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
142.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
137.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
135.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
133.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
132.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
131.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
125.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
125.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
125.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
122.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
120.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
116.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
116.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
115.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
115.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
113.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
112.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
110.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
109.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
108.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
107.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
106.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
106.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
105.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
105.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
105.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
104.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
104.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
103.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
102.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
102.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
102.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
100.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
99.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
99.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
98.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
97.4
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
97.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
97.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
96.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
95.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
94.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
94.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
94.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
94.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
92.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
91.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
91.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
91.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
90.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
89.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
89.1
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
89.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
88.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
88.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
87.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
87.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
87.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
86.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
86.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
86.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
86.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
85.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
85.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
85.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
84.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
84.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
84.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
83.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
83.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
83.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
82.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
82.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
82.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
81.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
81.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
81.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
81.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
81.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
81.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
79.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
79.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
78.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
78.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
77.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
76.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
76.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
76.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
76.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
76.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
75.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
75.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
74.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
74.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
74.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
73.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
73.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
73.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
72.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
72.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
71.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
71.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
71.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
71.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
71.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
70.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
70.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
69.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
69.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
69.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
69.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
68.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
68.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
68.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
67.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
67.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
67.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
67.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
67.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
67.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
66.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
66.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
65.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
65.7
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
65.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
65.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
65.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
65.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
64.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
64.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
64.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
64.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
64.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
63.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
63.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
63.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
63.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
63.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
63.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
62.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
62.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
62.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
62.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
61.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
61.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
60.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
60.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
60.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
59.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
59.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
59.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
59.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
58.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
58.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
58.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
58.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
58.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
57.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
57.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
57.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
57.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
57.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
56.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
56.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
56.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
55.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
55.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
55.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
54.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
54.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
54.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
54.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
53.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
53.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
53.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
53.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
53.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
52.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
52.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
52.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
51.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
51.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
51.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
51.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
51.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
51.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
50.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
50.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
50.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
50.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
48.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
48.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
48.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
48.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
48.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
47.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
47.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
47.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
47.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
46.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
46.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
46.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
45.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
45.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
45.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
45.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
45.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
44.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
44.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
44.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
44.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
43.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
43.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
43.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
43.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
43.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
42.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
42.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
42.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
41.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
40.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
40.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
40.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
40.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
40.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
39.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
39.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
39.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
38.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
38.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
36.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
36.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
36.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
35.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
34.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
34.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
33.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
33.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
31.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
31.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
31.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
30.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
29.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
27.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
27.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
26.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
25.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
25.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
25.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
23.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
21.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 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.
NASP 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
31.2
Number of samples
486
Samples
Sample
Description
TPM
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
112.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
82.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
79.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
73.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
71.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
65.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
64.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
63.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
60.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
60.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
59.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
59.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
57.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
55.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
55.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
54.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
54.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
54.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
54.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
54.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
54.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
54.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
53.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
53.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
52.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
52.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
51.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
50.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
50.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
50.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
49.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
49.4
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
49.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
49.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
49.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
49.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
48.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
48.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
48.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
47.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
47.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
47.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
46.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
46.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
46.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
46.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
46.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
45.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
45.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
45.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
45.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
45.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
45.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
44.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
44.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
44.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
44.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
44.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
44.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
44.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
44.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
43.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
43.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
43.9
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
43.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
43.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
43.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
43.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
43.2
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
43.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
43.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
43.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
42.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
42.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
42.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
42.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
41.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
41.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
41.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
41.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
41.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
41.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
41.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
41.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
41.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
41.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
41.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
41.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
41.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
40.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
40.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
40.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
40.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
40.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
40.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
39.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
39.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
39.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
39.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
39.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
39.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
39.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
38.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
38.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
38.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
38.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
38.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
38.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
38.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
38.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
38.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
38.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
38.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
38.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
38.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
38.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
38.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
38.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
37.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
37.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
37.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
37.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
37.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
37.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
37.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
37.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
37.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
37.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
37.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
37.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
36.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
36.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
36.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
36.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
36.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
36.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
36.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
36.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
36.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
36.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
36.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
36.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
36.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
36.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
36.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
36.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
36.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
36.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
36.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
35.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
35.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
35.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
35.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
35.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
35.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
35.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
35.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
35.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
35.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
35.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
35.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
35.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
34.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
34.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
34.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
34.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
34.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
34.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
34.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
34.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
34.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
34.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
34.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
34.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
34.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
34.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
33.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
33.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
33.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
33.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
33.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
33.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
33.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
33.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
33.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
33.0
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
33.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
32.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
32.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
32.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
32.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
32.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
32.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
32.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
32.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
32.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
32.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
32.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
32.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
32.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
32.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
32.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
31.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
31.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
31.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
31.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
31.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
31.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
31.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
31.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
31.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
31.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
31.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
31.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
30.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
30.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
30.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
30.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
30.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
30.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
30.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
30.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
30.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
30.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
30.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
30.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
30.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
30.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
30.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
30.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
30.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
30.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
29.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
29.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
29.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
29.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
29.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
29.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
29.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
29.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
29.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
29.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
29.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
29.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
29.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
29.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
29.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
28.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
28.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
28.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
28.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
28.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
28.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
28.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
28.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
28.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
28.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
28.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
28.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
28.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
28.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
28.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
28.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
28.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
27.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
27.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
27.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
27.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
27.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
27.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
27.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
27.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
27.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
27.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
27.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
27.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
27.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
27.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
27.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
27.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
27.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
27.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
27.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
27.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
27.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
27.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
26.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
26.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
26.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
26.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
26.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
26.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
26.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
26.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
26.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
26.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
26.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
26.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
26.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
26.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
26.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
26.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
26.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
26.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
25.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
25.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
25.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
25.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
25.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
25.7
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
25.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
25.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
25.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
25.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
25.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
25.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
25.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
25.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
25.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
25.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
24.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
24.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
24.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
24.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
24.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
24.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
24.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
24.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
24.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
24.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
24.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
24.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
24.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
24.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
24.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
23.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
23.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
23.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
23.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
23.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
23.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
23.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
23.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
23.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
23.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
23.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
23.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
23.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
23.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
23.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
23.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
23.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
23.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
23.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
23.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
23.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
23.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
23.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
23.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
23.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
23.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
23.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
22.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
22.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
22.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
22.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
22.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
22.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
22.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
22.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
22.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
22.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
22.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
22.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
22.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
22.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
22.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
21.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
21.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
21.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
21.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
21.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
21.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
21.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
21.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
21.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
21.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
21.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
21.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
21.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
21.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
21.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
21.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
20.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
20.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
20.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
20.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
20.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
20.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
20.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
20.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
20.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
20.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
20.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
20.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
20.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
20.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
20.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
20.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
20.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
20.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
20.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
20.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
20.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
20.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
20.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
20.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
20.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
20.0
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
19.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
19.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
19.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
19.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
19.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
19.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
19.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
19.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
19.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
19.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
19.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
19.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
18.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
18.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
18.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
18.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
18.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
18.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
18.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
18.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
18.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
18.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
18.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
18.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
18.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
18.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
17.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
17.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
17.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
17.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
17.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
17.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
17.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
17.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
16.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
16.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
16.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
16.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
16.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
16.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
16.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
16.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
15.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
15.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
15.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
15.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
15.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
15.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
15.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
15.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
15.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
15.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
14.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
14.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
14.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
13.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
13.8
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
13.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
13.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
12.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
12.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
11.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
10.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
10.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
10.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
8.6
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.
NASP 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
65.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
184.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
122.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
120.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
113.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
107.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
103.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
100.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
100.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
94.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
89.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
89.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
87.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
86.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
86.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
85.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
80.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
78.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
78.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
78.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
77.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
77.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
75.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
74.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
74.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
74.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
74.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
73.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
73.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
73.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
73.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
73.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
70.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
69.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
69.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
69.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
68.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
67.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
67.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
66.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
64.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
63.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
63.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
63.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
63.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
62.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
62.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
62.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
62.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
62.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
60.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
60.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
59.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
58.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
57.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
57.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
57.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
56.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
56.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
55.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
55.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
54.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
53.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
53.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
53.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
52.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
52.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
51.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
51.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
48.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
47.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
45.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
44.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
43.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
42.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
41.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
40.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
40.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
38.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
37.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
35.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
35.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
35.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
34.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
33.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
31.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
27.8
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
22.9
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
NASP 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
28.2
Number of samples
207
Samples
Sample
Description
TPM
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
75.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
66.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
65.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
62.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
60.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
59.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
57.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
57.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
55.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
54.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
50.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
50.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
49.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
47.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
47.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
46.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
45.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
45.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
44.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
42.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
41.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
41.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
41.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
40.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
39.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
39.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
38.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
38.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
37.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
37.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
37.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
36.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
36.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
36.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
36.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
36.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
36.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
35.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
35.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
35.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
35.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
35.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
35.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
35.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
34.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
34.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
34.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
34.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
34.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
33.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
33.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
33.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
33.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
32.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
32.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
32.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
32.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
32.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
32.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
32.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
32.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
31.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
31.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
31.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
31.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
31.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
31.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
30.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
30.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
30.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
30.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
30.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
30.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
30.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
30.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
30.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
30.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
30.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
30.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
30.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
29.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
29.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
29.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
29.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
29.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
29.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
29.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
28.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
28.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
28.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
28.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
28.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
28.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
28.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
28.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
28.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
28.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
27.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
27.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
27.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
27.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
27.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
27.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
27.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
26.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
26.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
26.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
26.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
26.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
26.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
26.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
26.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
26.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
25.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
25.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
25.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
25.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
25.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
25.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
25.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
25.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
24.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
24.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
24.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
24.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
24.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
24.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
24.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
23.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
23.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
23.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
23.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
23.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
23.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
23.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
23.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
23.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
22.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
22.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
22.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
22.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
22.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
22.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
22.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
22.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
22.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
21.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
21.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
21.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
21.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
21.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
20.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
20.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
20.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
20.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
20.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
20.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
20.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
19.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
19.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
19.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
19.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
19.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
19.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
19.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
19.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
18.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
18.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
18.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
18.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
18.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
18.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
18.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
18.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
17.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
17.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
17.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
17.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
17.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
17.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
17.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
16.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
16.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
16.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
15.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
15.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
15.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
15.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
15.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
15.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
14.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
14.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
14.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
14.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
13.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
13.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
12.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
12.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
12.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
12.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
11.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
9.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
9.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
9.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
8.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
7.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
5.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
1.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.9
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.9
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.9
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.9
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.8
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.8
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.8
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.7
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.7
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.7
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.6
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.6
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.6
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.6
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.6
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.5
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.5
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.5
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.5
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.4
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.4
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.4
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.4
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.4
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.5
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.5
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.5
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.5
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.5
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.5
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.5
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.5
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.5
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.5
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.5
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.5
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.5
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.5
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.6
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.6
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.6
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.6
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.6
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.6
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.6
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.7
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.7
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.7
b2400046-1d25-429d-a821-6040a6
Tumor
-0.7
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.7
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.8
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.8
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.8
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.8
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.8
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.8
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.9
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-1.0
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-1.0
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
