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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.
MSLN 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
56.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
544.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
488.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
442.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
436.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
429.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
365.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
350.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
338.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
327.2
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
300.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
272.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
268.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
266.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
230.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
225.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
213.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
212.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
201.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
192.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
191.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
188.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
185.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
178.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
174.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
174.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
172.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
171.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
155.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
149.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
139.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
135.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
131.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
122.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
119.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
116.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
115.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
110.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
109.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
108.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
104.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
102.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
100.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
99.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
93.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
90.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
90.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
87.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
87.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
86.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
83.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
82.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
79.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
79.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
78.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
76.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
74.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
72.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
69.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
69.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
69.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
68.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
68.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
66.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
64.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
62.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
61.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
61.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
58.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
57.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
55.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
54.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
53.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
52.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
52.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
52.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
52.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
52.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
52.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
50.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
50.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
49.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
49.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
48.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
48.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
46.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
46.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
40.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
40.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
39.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
39.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
38.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
37.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
37.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
37.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
36.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
36.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
36.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
35.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
35.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
34.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
32.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
32.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
32.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
32.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
31.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
31.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
30.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
30.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
30.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
28.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
28.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
28.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
28.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
27.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
27.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
25.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
25.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
24.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
24.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
24.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
23.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
22.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
21.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
21.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
20.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
20.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
20.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
19.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
19.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
19.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
19.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
19.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
19.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
18.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
18.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
18.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
17.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
17.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
17.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
17.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
16.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
16.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
16.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
16.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
16.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
15.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
15.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
15.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
14.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
14.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
14.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
13.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
12.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
12.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
12.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
12.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
12.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
12.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
12.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
12.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
12.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
11.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
11.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
10.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
10.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
10.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
9.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
9.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
9.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
9.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
8.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
8.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
8.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
8.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
8.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
7.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
7.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
7.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
7.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
7.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
6.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
6.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
6.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
6.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
6.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
6.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
6.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
6.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
6.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
6.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
6.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
5.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
5.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
4.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
4.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
4.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
4.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
4.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
4.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
4.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
4.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
4.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
4.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
4.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
4.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
3.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
3.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
3.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
3.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
3.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
3.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
3.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
3.0
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
3.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
3.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
3.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
2.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
2.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
2.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
2.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
2.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
2.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
2.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
2.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
2.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
2.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
2.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
2.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
2.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
2.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
1.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
1.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
1.7
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
1.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
1.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
1.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
1.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
1.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
1.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
1.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
0.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
0.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
0.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
0.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
0.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
0.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
0.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
0.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
0.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
0.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
0.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
0.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
0.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 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.
MSLN 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
38.8
Number of samples
486
Samples
Sample
Description
TPM
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
471.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
396.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
324.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
314.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
291.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
290.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
262.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
262.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
261.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
246.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
245.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
226.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
211.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
202.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
195.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
180.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
178.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
176.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
170.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
166.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
166.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
165.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
165.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
159.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
156.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
155.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
151.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
147.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
146.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
146.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
143.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
142.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
141.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
140.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
138.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
137.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
132.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
131.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
127.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
123.1
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
123.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
121.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
121.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
120.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
117.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
113.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
111.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
110.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
110.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
109.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
107.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
107.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
104.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
95.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
93.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
93.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
93.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
92.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
92.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
89.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
88.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
88.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
86.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
86.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
84.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
84.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
84.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
84.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
83.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
81.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
80.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
77.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
73.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
73.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
73.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
71.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
70.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
70.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
70.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
70.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
69.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
68.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
68.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
67.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
67.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
66.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
66.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
65.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
65.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
64.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
63.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
62.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
61.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
61.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
61.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
60.2
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
60.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
59.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
59.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
59.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
58.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
58.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
58.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
57.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
56.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
56.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
56.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
55.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
54.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
54.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
54.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
54.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
53.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
53.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
53.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
53.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
52.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
51.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
51.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
51.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
51.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
50.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
50.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
49.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
49.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
48.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
48.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
48.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
47.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
47.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
46.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
45.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
45.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
44.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
43.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
42.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
40.6
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
40.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
40.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
40.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
39.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
39.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
39.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
38.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
38.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
38.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
38.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
38.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
38.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
37.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
36.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
36.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
36.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
36.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
34.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
33.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
32.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
32.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
32.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
32.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
32.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
31.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
31.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
31.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
31.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
30.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
29.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
29.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
29.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
29.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
29.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
29.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
29.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
28.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
28.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
28.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
28.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
28.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
27.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
26.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
26.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
25.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
25.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
25.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
25.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
25.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
24.9
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
24.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
24.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
23.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
23.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
23.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
22.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
22.4
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
21.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
21.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
21.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
21.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
21.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
21.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
21.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
21.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
20.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
20.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
20.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
20.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
20.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
20.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
20.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
20.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
20.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
20.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
20.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
20.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
19.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
19.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
19.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
19.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
19.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
18.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
18.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
18.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
18.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
18.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
18.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
17.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
17.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
16.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
16.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
16.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
16.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
16.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
16.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
16.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
16.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
15.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
15.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
15.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
15.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
15.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
15.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
15.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
14.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
14.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
14.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
14.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
14.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
14.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
14.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
14.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
14.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
14.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
14.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
14.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
13.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
13.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
13.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
13.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
13.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
13.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
13.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
13.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
12.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
12.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
12.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
12.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
12.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
12.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
12.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
11.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
11.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
11.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
11.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
11.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
11.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
10.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
10.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
10.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
10.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
10.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
10.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
10.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
9.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
9.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
9.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
9.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
9.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
9.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
9.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
9.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
9.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
9.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
9.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
9.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
9.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
8.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
8.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
8.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
8.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
8.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
8.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
8.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
8.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
8.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
8.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
8.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
8.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
8.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
8.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
7.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
7.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
7.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
7.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
7.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
7.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
7.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
7.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
7.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
7.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
7.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
7.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
7.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
6.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
6.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
6.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
6.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
6.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
6.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
6.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
6.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
6.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
6.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
6.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
6.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
6.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
6.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
6.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
6.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
6.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
5.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
5.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
5.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
5.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
5.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
5.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
5.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
5.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
5.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
5.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
5.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
5.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
5.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
5.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
5.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
5.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
5.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
4.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
4.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
4.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
4.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
4.5
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
4.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
4.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
4.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
4.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
4.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
4.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
4.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
4.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
4.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
4.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
4.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
3.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
3.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
3.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
3.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
3.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
3.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
3.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
3.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
3.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
3.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
3.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
3.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
3.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
3.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
3.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
3.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
3.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
3.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
3.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
3.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
3.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
3.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
3.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
3.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
3.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
2.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
2.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
2.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
2.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
2.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
2.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
2.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
2.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
2.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
2.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
2.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
2.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
2.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
2.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
2.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
2.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
2.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
2.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
2.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
2.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
2.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
2.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
2.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
2.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
2.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
2.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
1.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
1.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
1.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
1.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
1.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
1.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
1.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
1.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
1.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
1.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
1.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
1.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
1.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
1.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
1.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
1.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
1.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
1.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
1.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
1.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
1.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
1.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
1.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
1.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
1.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
1.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
1.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
1.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
1.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
1.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
1.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
1.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
0.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
0.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
0.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
0.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
0.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
0.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
0.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
0.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
0.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
0.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
0.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
0.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
0.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
0.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
0.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
0.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
0.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
0.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
0.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
0.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
0.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
0.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
0.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
0.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
0.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
0.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
0.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
0.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
0.1
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MSLN 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
52.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
327.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
265.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
210.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
198.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
196.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
172.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
160.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
156.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
151.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
140.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
139.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
135.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
125.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
118.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
108.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
102.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
100.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
99.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
95.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
92.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
84.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
82.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
79.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
62.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
59.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
57.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
57.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
56.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
51.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
50.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
46.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
44.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
42.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
37.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
37.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
37.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
36.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
34.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
34.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
33.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
32.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
30.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
28.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
28.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
24.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
23.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
23.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
22.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
20.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
19.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
18.3
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
18.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
16.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
14.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
14.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
14.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
13.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
13.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
11.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
9.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
9.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
9.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
9.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
9.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
8.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
8.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
7.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
7.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
7.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
6.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
5.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
4.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
4.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
2.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
2.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
2.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
2.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
2.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
1.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
1.8
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
1.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
1.4
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
1.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
1.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
1.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
1.0
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
0.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 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.
MSLN 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
53.5
Number of samples
207
Samples
Sample
Description
TPM
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
799.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
798.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
654.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
610.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
583.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
493.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
482.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
312.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
254.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
226.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
171.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
162.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
146.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
145.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
125.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
115.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
115.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
111.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
110.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
102.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
99.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
98.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
94.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
94.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
94.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
93.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
91.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
89.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
83.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
76.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
76.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
76.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
76.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
74.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
74.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
74.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
73.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
71.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
70.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
69.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
68.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
64.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
62.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
62.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
60.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
60.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
59.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
56.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
54.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
54.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
50.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
48.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
46.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
46.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
46.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
44.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
43.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
43.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
43.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
40.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
40.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
38.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
37.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
37.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
35.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
34.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
33.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
32.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
32.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
32.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
32.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
30.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
30.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
29.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
29.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
28.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
28.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
27.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
26.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
26.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
25.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
25.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
25.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
25.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
24.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
23.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
22.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
22.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
22.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
22.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
20.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
20.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
20.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
19.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
19.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
18.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
18.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
18.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
17.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
17.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
16.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
16.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
16.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
15.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
15.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
15.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
15.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
15.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
15.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
14.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
14.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
13.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
13.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
12.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
12.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
12.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
11.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
11.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
11.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
11.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
11.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
11.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
11.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
11.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
11.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
11.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
11.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
11.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
10.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
10.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
10.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
10.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
9.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
9.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
9.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
9.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
8.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
8.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
8.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
8.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
8.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
8.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
8.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
8.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
7.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
7.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
7.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
7.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
7.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
7.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
7.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
7.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
6.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
6.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
6.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
6.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
6.4
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
6.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
6.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
6.1
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
6.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
6.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
5.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
5.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
5.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
5.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
5.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
5.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
4.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
4.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
4.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
4.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
4.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
4.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
4.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
3.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
3.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
3.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
3.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
3.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
3.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
3.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
3.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
3.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
3.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
2.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
2.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
2.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
2.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
2.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
2.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
2.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
2.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
2.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
1.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
1.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
1.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
1.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
1.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
1.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
1.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
1.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
1.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
0.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
0.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
0.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
0.2
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
2.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
2.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
2.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
1.9
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
1.8
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
1.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
1.0
c307b7b0-534a-45fa-a420-35f773_D2
Normal
1.0
2666323d-522f-4f0a-823c-ff8866_D2
Normal
1.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.8
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.7
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.7
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.5
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.4
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.4
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.4
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.4
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.5
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.5
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.5
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.5
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.5
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.6
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.6
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.6
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.7
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.7
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.7
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.8
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.8
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.9
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.9
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-1.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-1.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-1.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-1.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-1.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-1.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-1.3
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
