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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.
MMP7 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
90.5
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
1098.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
859.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
819.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
807.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
780.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
745.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
522.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
508.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
503.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
489.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
449.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
425.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
404.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
382.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
375.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
366.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
265.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
259.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
250.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
249.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
244.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
244.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
240.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
235.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
234.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
230.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
229.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
226.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
218.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
203.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
193.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
188.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
186.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
184.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
177.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
171.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
171.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
171.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
167.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
153.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
152.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
150.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
143.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
140.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
140.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
137.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
136.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
135.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
132.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
131.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
128.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
127.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
127.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
127.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
125.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
124.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
120.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
118.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
114.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
111.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
110.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
109.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
109.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
107.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
107.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
106.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
105.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
102.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
99.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
92.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
88.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
86.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
83.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
79.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
78.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
75.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
71.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
69.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
69.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
65.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
65.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
64.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
63.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
63.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
61.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
60.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
59.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
59.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
59.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
58.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
58.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
54.4
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
54.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
53.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
53.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
53.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
52.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
52.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
51.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
48.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
47.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
46.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
45.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
44.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
44.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
43.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
43.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
43.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
42.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
41.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
41.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
41.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
40.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
39.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
39.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
39.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
38.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
38.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
38.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
36.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
36.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
36.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
35.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
35.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
35.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
35.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
35.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
34.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
34.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
33.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
33.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
32.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
32.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
32.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
31.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
30.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
29.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
28.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
28.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
28.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
28.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
27.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
26.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
26.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
26.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
26.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
25.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
24.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
24.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
24.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
23.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
22.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
22.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
22.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
22.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
22.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
21.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
21.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
21.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
20.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
19.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
19.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
19.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
19.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
19.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
18.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
18.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
18.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
18.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
17.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
16.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
16.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
16.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
16.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
16.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
16.1
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
15.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
15.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
15.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
14.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
14.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
14.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
14.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
14.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
14.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
14.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
13.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
13.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
12.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
12.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
11.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
11.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
10.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
10.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
10.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
10.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
9.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
9.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
9.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
9.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
9.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
9.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
8.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
8.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
8.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
8.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
7.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
7.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
7.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
7.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
6.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
6.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
6.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
6.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
6.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
5.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
5.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
5.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
5.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
5.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
4.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
4.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
4.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
4.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
3.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
3.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
3.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
3.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
3.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
3.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
3.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
3.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
2.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
2.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
2.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
2.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
2.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
2.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
1.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
1.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
1.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
1.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
1.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
1.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
1.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
0.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
0.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
0.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
0.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
0.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
0.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
0.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
0.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 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.
MMP7 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
73.6
Number of samples
486
Samples
Sample
Description
TPM
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
2276.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
1034.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
901.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
808.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
740.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
517.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
506.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
496.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
493.9
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
479.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
477.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
476.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
456.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
448.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
429.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
424.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
417.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
383.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
367.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
347.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
333.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
319.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
310.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
308.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
307.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
304.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
288.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
277.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
263.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
244.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
239.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
237.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
234.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
228.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
222.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
220.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
216.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
209.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
208.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
204.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
201.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
201.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
199.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
194.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
193.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
188.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
188.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
186.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
181.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
176.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
176.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
164.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
162.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
161.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
159.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
159.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
158.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
157.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
154.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
152.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
151.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
151.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
150.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
145.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
144.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
139.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
133.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
133.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
132.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
131.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
130.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
128.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
127.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
126.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
125.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
125.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
123.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
123.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
123.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
123.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
123.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
119.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
119.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
119.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
118.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
116.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
116.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
113.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
111.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
111.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
110.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
109.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
106.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
105.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
105.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
104.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
103.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
103.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
103.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
103.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
101.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
99.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
98.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
98.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
97.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
95.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
94.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
94.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
93.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
92.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
90.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
90.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
88.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
86.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
86.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
85.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
83.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
82.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
82.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
80.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
79.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
79.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
79.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
78.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
76.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
74.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
74.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
74.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
72.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
71.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
71.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
69.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
69.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
69.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
68.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
68.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
63.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
63.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
63.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
63.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
62.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
61.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
60.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
60.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
59.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
58.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
57.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
57.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
56.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
56.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
55.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
54.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
54.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
54.5
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
54.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
53.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
53.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
53.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
53.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
53.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
52.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
52.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
51.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
51.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
51.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
50.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
50.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
49.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
47.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
47.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
46.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
46.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
45.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
44.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
44.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
44.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
44.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
44.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
44.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
43.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
43.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
43.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
43.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
43.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
43.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
43.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
42.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
42.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
41.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
41.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
40.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
40.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
40.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
40.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
40.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
40.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
40.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
40.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
39.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
39.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
38.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
37.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
37.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
36.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
35.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
35.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
35.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
35.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
34.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
34.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
34.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
34.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
34.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
33.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
33.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
32.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
32.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
31.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
31.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
31.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
30.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
29.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
29.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
28.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
27.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
27.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
27.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
27.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
26.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
26.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
25.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
25.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
25.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
25.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
25.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
25.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
24.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
24.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
24.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
24.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
24.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
24.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
24.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
23.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
23.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
23.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
23.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
23.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
23.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
22.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
22.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
22.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
22.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
21.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
21.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
21.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
21.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
21.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
21.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
21.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
21.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
21.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
21.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
21.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
20.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
20.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
20.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
20.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
20.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
20.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
20.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
20.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
20.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
19.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
19.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
18.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
18.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
18.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
18.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
18.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
17.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
17.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
17.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
17.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
17.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
17.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
17.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
17.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
16.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
16.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
16.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
16.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
16.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
16.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
16.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
15.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
15.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
15.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
15.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
15.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
15.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
15.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
15.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
14.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
14.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
14.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
14.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
13.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
13.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
13.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
13.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
13.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
13.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
13.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
13.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
12.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
12.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
12.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
12.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
12.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
12.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
12.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
12.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
11.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
11.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
11.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
10.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
10.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
10.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
10.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
10.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
10.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
10.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
10.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
10.1
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
9.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
9.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
9.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
9.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
9.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
9.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
9.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
9.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
9.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
9.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
9.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
8.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
8.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
8.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
8.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
8.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
8.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
8.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
8.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
8.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
8.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
8.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
8.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
8.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
8.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
8.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
7.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
7.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
7.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
7.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
7.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
7.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
7.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
7.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
7.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
7.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
6.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
6.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
6.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
6.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
6.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
6.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
6.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
6.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
6.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
6.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
6.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
6.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
6.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
6.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
6.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
5.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
5.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
5.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
5.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
5.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
5.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
5.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
5.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
5.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
5.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
5.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
5.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
5.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
5.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
5.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
5.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
4.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
4.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
4.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
4.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
4.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
4.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
4.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
4.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
4.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
4.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
4.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
4.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
4.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
4.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
3.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
3.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
3.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
3.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
3.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
3.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
3.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
3.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
3.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
3.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
3.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
3.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
3.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
3.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
3.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
2.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
2.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
2.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
2.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
2.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
2.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
2.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
2.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
2.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
2.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
2.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
2.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
2.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
2.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
2.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
1.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
1.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
1.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
1.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
1.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
1.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
1.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
1.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
1.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
1.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
1.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
1.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
1.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
1.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
1.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
1.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
1.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
1.1
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
1.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
1.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
0.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
0.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
0.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
0.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
0.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
0.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
0.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
0.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
0.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
0.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
0.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
0.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
0.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
0.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
0.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
0.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
0.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 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.
MMP7 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
71.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
491.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
473.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
403.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
317.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
307.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
266.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
252.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
243.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
223.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
216.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
172.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
168.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
165.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
161.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
161.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
117.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
96.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
91.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
87.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
85.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
76.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
74.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
72.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
72.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
71.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
68.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
67.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
59.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
58.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
57.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
57.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
56.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
54.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
49.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
45.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
42.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
42.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
40.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
37.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
36.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
33.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
30.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
29.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
27.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
27.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
24.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
24.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
23.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
22.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
19.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
18.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
18.3
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
18.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
17.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
16.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
16.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
16.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
14.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
14.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
13.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
13.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
12.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
12.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
10.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
9.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
8.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
8.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
7.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
7.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
7.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
7.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
7.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
7.0
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
6.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
6.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
6.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
5.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
5.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
5.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
4.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
4.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
3.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
3.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
2.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
1.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
1.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
1.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 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.
MMP7 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
93.6
Number of samples
207
Samples
Sample
Description
TPM
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
1936.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
1397.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
917.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
914.3
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
906.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
669.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
664.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
578.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
434.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
422.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
360.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
332.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
284.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
277.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
264.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
256.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
253.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
210.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
209.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
209.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
206.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
196.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
186.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
174.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
173.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
167.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
166.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
161.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
158.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
154.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
148.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
148.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
147.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
144.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
144.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
144.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
142.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
127.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
126.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
116.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
112.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
108.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
106.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
103.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
103.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
103.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
99.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
89.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
87.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
85.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
81.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
81.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
78.7
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
77.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
76.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
75.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
74.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
73.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
69.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
68.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
66.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
65.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
63.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
56.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
56.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
55.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
54.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
54.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
54.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
53.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
53.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
51.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
50.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
49.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
49.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
48.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
47.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
47.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
45.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
45.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
44.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
44.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
43.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
40.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
40.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
40.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
39.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
38.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
37.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
36.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
35.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
35.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
34.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
34.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
34.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
33.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
32.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
30.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
29.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
28.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
28.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
25.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
25.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
24.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
24.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
24.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
24.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
24.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
24.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
23.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
23.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
22.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
21.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
21.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
21.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
20.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
19.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
18.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
18.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
18.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
18.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
17.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
17.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
16.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
16.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
16.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
16.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
15.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
15.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
15.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
15.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
15.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
14.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
14.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
14.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
14.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
13.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
13.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
13.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
12.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
12.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
12.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
12.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
12.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
12.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
11.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
11.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
11.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
11.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
10.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
10.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
10.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
10.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
9.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
9.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
9.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
9.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
8.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
8.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
8.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
8.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
8.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
8.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
8.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
8.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
8.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
8.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
7.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
7.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
7.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
7.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
6.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
6.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
6.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
5.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
5.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
5.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
5.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
5.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
5.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
4.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
4.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
4.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
4.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
3.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
3.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
3.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
3.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
3.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
2.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
2.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
2.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
2.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
2.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
2.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
2.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
2.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
1.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
1.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
1.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
1.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
1.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
1.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
0.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
0.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
0.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
0.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
3.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
2.6
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
2.6
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
2.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
1.8
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
1.6
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
1.6
b2400046-1d25-429d-a821-6040a6
Tumor
1.5
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
1.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
1.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
1.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
1.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
1.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
1.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
1.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
1.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
1.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
1.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.9
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.8
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.7
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.7
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.6
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.5
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.4
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.4
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.5
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.5
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.5
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.5
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.5
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.5
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.5
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.5
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.6
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.6
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.6
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.6
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.6
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.6
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.6
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.7
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.7
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.7
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.7
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.7
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.7
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.7
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.7
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.8
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.8
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.8
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.8
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.8
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.8
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.8
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.9
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.9
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.9
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.9
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.9
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.9
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.9
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-1.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
-1.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-1.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-1.0
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-1.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-1.0
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-1.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-1.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-1.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-1.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-1.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-1.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-1.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-1.1
43192517-085e-450e-9481-0a6713_D3
Tumor
-1.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-1.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-1.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-1.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-1.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-1.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-1.4
41a04113-2061-4923-bca5-da586c_D2
Normal
-1.5
963fc8db-f412-4427-a198-23f660_D2
Normal
-1.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-1.5
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-1.5
82157a70-12f1-4913-b548-d98881_D2
Normal
-1.5
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-1.5
da747cee-5026-4923-af63-ad9f81_D2
Normal
-1.5
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-1.5
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-1.6
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-1.6
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-1.6
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-1.6
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-1.7
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-1.7
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-1.7
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-1.8
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-1.9
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-1.9
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-1.9
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-1.9
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-1.9
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-2.0
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-2.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-2.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-2.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-2.4
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-2.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-2.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-3.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-3.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-3.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-6.9
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_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.