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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.
POSTN 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
91.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
1506.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
1113.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
1090.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
743.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
636.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
539.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
454.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
380.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
380.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
339.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
336.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
321.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
319.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
305.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
297.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
293.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
293.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
265.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
260.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
250.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
230.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
229.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
222.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
215.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
191.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
187.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
185.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
183.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
179.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
178.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
172.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
172.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
171.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
167.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
164.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
164.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
160.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
157.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
155.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
151.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
148.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
147.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
143.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
140.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
140.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
139.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
139.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
138.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
137.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
137.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
136.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
130.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
129.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
129.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
124.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
120.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
120.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
118.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
116.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
115.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
114.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
111.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
104.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
103.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
101.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
99.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
95.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
91.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
90.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
86.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
86.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
85.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
85.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
84.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
84.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
80.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
79.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
79.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
78.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
76.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
75.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
75.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
74.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
74.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
71.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
71.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
70.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
69.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
69.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
69.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
68.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
65.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
63.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
63.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
61.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
61.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
60.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
60.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
60.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
60.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
60.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
58.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
58.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
58.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
58.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
56.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
56.0
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
55.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
54.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
53.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
52.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
52.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
51.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
49.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
47.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
47.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
46.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
46.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
45.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
44.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
44.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
44.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
44.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
44.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
43.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
43.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
42.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
42.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
42.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
40.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
40.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
40.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
39.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
38.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
38.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
38.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
38.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
38.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
37.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
37.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
37.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
36.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
36.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
36.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
35.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
35.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
34.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
32.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
32.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
31.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
30.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
30.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
30.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
30.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
29.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
29.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
29.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
28.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
28.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
27.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
27.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
26.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
25.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
25.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
24.3
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
23.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
23.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
22.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
21.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
21.2
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
21.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
20.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
20.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
19.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
19.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
19.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
18.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
18.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
18.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
18.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
17.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
17.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
17.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
16.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
16.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
16.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
16.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
16.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
16.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
15.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
15.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
15.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
15.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
14.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
14.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
14.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
13.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
13.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
13.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
13.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
13.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
12.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
12.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
11.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
11.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
11.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
10.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
10.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
10.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
10.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
10.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
9.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
9.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
9.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
9.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
9.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
9.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
9.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
9.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
9.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
9.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
8.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
8.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
8.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
7.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
7.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
7.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
7.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
6.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
6.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
5.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
5.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
5.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
4.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
4.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
3.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
3.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
3.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
2.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
2.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
2.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
2.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
2.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
2.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
1.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
1.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
1.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
1.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
1.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
1.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
1.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
1.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
0.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 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.
POSTN 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
186.3
Number of samples
486
Samples
Sample
Description
TPM
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
1122.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
1012.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
988.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
952.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
906.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
898.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
889.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
855.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
853.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
775.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
745.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
738.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
730.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
669.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
663.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
650.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
612.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
596.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
585.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
581.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
579.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
567.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
564.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
561.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
545.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
539.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
531.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
531.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
521.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
518.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
516.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
513.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
501.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
494.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
481.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
476.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
473.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
454.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
443.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
438.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
434.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
428.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
428.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
421.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
420.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
415.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
408.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
405.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
399.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
391.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
391.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
388.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
388.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
385.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
383.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
373.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
373.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
372.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
363.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
361.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
361.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
344.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
339.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
339.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
335.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
335.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
329.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
329.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
328.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
327.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
324.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
324.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
319.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
318.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
317.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
315.8
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
309.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
307.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
302.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
299.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
297.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
295.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
292.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
291.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
290.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
289.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
288.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
287.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
286.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
285.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
284.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
283.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
282.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
278.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
276.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
273.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
272.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
271.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
266.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
266.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
264.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
262.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
259.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
257.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
257.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
254.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
253.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
253.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
250.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
250.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
248.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
247.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
246.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
245.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
245.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
244.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
244.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
240.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
238.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
237.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
237.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
235.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
234.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
234.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
234.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
231.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
229.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
225.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
223.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
223.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
221.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
221.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
219.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
219.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
215.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
215.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
213.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
213.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
213.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
213.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
212.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
212.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
208.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
206.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
205.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
204.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
203.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
201.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
200.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
198.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
197.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
196.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
195.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
194.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
194.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
193.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
193.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
192.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
192.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
191.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
191.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
191.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
190.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
187.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
187.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
186.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
186.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
186.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
185.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
183.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
182.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
182.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
182.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
182.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
181.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
181.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
181.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
180.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
179.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
179.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
177.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
177.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
177.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
175.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
175.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
175.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
175.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
174.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
174.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
174.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
172.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
172.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
172.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
171.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
171.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
171.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
170.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
170.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
169.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
168.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
166.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
166.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
166.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
166.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
165.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
165.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
165.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
164.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
162.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
162.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
162.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
160.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
160.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
160.5
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
158.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
157.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
156.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
155.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
155.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
155.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
155.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
155.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
155.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
155.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
154.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
153.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
151.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
150.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
150.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
150.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
149.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
148.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
147.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
146.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
146.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
145.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
144.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
143.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
143.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
142.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
142.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
142.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
141.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
141.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
141.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
140.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
140.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
139.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
138.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
138.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
138.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
137.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
136.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
136.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
134.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
132.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
132.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
132.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
130.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
130.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
130.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
129.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
128.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
128.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
125.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
125.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
124.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
124.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
124.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
124.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
124.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
124.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
123.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
123.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
123.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
122.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
122.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
122.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
121.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
120.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
120.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
119.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
119.8
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
118.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
118.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
118.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
118.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
117.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
117.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
116.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
115.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
114.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
114.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
113.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
113.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
113.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
111.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
110.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
109.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
109.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
108.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
107.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
107.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
107.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
105.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
104.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
104.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
103.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
100.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
99.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
98.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
96.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
95.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
95.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
94.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
92.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
91.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
91.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
91.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
90.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
90.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
89.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
88.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
87.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
87.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
85.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
85.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
85.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
85.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
85.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
84.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
83.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
82.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
82.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
81.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
81.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
80.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
80.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
79.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
78.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
78.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
78.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
78.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
77.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
76.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
75.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
74.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
73.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
73.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
73.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
73.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
73.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
72.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
72.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
71.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
71.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
71.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
70.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
70.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
69.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
69.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
67.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
67.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
66.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
65.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
65.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
65.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
65.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
63.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
63.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
63.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
63.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
62.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
61.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
61.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
61.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
61.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
60.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
60.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
60.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
59.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
59.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
59.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
58.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
58.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
58.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
57.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
56.9
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
56.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
55.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
55.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
54.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
54.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
54.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
54.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
54.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
53.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
53.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
52.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
52.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
52.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
51.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
51.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
50.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
49.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
48.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
47.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
47.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
47.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
47.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
46.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
46.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
46.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
45.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
43.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
43.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
41.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
41.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
41.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
39.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
39.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
39.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
38.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
37.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
37.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
36.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
36.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
35.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
35.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
35.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
35.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
34.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
33.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
33.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
32.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
32.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
32.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
30.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
29.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
29.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
28.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
27.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
26.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
26.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
26.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
26.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
26.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
26.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
25.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
25.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
24.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
24.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
23.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
23.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
23.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
22.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
22.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
21.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
21.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
20.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
20.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
18.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
18.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
17.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
17.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
16.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
16.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
15.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
14.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
14.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
12.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
12.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
12.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
11.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
11.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
11.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
10.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
9.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
8.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
8.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
8.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
8.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
7.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
2.4
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
2.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 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.
POSTN 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
91.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
842.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
510.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
427.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
394.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
346.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
345.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
285.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
280.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
234.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
228.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
208.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
204.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
195.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
193.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
177.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
169.3
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
122.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
113.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
100.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
100.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
98.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
97.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
96.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
84.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
83.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
77.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
74.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
71.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
70.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
69.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
68.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
67.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
64.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
61.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
61.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
60.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
60.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
59.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
58.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
58.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
57.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
53.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
53.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
53.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
51.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
49.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
49.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
45.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
42.0
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
40.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
37.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
37.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
37.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
36.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
29.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
28.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
26.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
26.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
26.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
24.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
22.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
22.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
22.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
17.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
17.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
17.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
17.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
17.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
17.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
15.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
14.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
13.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
11.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
10.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
10.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
9.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
9.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
9.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
9.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
9.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
7.2
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
5.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
3.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
3.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
3.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
2.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
2.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 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.
POSTN 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
158.2
Number of samples
207
Samples
Sample
Description
TPM
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
1113.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
1085.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
707.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
672.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
670.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
635.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
591.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
572.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
561.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
558.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
540.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
484.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
464.4
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
463.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
456.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
444.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
439.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
424.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
415.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
409.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
406.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
394.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
375.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
373.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
352.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
346.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
345.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
339.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
338.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
324.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
319.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
293.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
292.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
287.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
287.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
284.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
272.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
264.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
262.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
260.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
260.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
260.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
249.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
238.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
237.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
236.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
217.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
216.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
215.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
214.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
204.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
200.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
194.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
182.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
178.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
177.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
175.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
173.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
172.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
171.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
165.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
164.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
158.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
157.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
154.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
154.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
154.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
150.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
144.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
143.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
142.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
141.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
141.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
137.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
130.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
130.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
129.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
126.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
124.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
123.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
120.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
120.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
120.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
119.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
118.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
118.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
117.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
115.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
115.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
115.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
114.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
113.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
112.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
112.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
110.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
103.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
102.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
102.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
102.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
101.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
101.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
101.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
98.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
97.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
97.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
95.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
95.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
95.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
93.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
93.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
92.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
92.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
90.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
87.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
86.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
85.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
85.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
84.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
83.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
83.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
83.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
82.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
82.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
81.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
80.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
76.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
75.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
74.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
71.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
71.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
71.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
70.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
67.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
66.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
64.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
63.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
62.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
61.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
61.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
61.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
60.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
59.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
56.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
55.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
54.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
53.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
53.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
53.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
53.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
52.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
49.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
49.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
47.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
47.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
46.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
45.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
45.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
44.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
43.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
42.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
42.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
42.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
40.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
38.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
38.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
36.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
35.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
32.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
32.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
31.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
30.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
30.8
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
30.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
29.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
29.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
26.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
26.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
25.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
24.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
23.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
22.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
21.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
21.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
21.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
20.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
20.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
19.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
17.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
16.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
16.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
15.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
15.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
15.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
14.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
13.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
13.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
12.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
11.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
11.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
10.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
10.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
8.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
7.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
6.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
6.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
5.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
4.5
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
1.9
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
1.8
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
1.7
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
1.5
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
1.4
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
1.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
1.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
1.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
1.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
1.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
1.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
1.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
1.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
1.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
1.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
1.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.9
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.8
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.8
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.8
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.7
b2400046-1d25-429d-a821-6040a6
Tumor
0.7
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.7
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.7
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.6
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.6
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.6
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.5
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.4
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.4
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.4
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.4
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.4
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.4
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.4
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.4
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.4
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.5
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.5
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.5
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.5
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.5
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.5
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.5
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.5
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.5
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.5
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.5
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.5
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.5
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.5
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.5
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.5
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.5
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.5
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.5
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.6
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.6
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.6
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.6
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.6
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.6
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.6
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.6
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.6
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.6
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.6
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.7
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.7
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.7
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.7
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.7
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.7
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.7
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.7
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.7
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.7
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.7
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.7
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.7
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.7
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.8
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.8
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.8
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.8
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.8
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.8
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.9
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.9
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.9
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.9
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-1.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-1.0
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-1.0
1c070992-647b-4173-a481-904c4d_D2
Normal
-1.0
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-1.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-1.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-1.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-1.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-1.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-1.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-1.4
8cc7e656-0152-4359-8566-0581c3
Tumor
-1.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-1.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-1.5
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-1.5
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-1.6
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-1.6
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-1.7
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-1.7
43192517-085e-450e-9481-0a6713_D3
Tumor
-1.9
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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
