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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.
TIMP3 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
59.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
411.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
301.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
296.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
247.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
208.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
201.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
200.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
198.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
195.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
194.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
188.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
187.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
179.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
161.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
159.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
157.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
157.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
154.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
153.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
150.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
148.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
147.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
141.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
140.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
140.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
139.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
137.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
132.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
131.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
130.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
125.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
120.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
118.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
117.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
116.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
114.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
113.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
112.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
106.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
106.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
105.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
103.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
102.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
102.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
97.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
96.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
95.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
94.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
93.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
93.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
91.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
91.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
90.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
90.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
87.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
87.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
86.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
85.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
83.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
83.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
81.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
80.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
80.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
79.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
79.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
76.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
75.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
75.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
75.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
74.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
73.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
73.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
72.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
72.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
71.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
71.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
70.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
70.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
70.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
69.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
68.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
66.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
65.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
65.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
65.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
64.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
64.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
62.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
62.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
61.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
61.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
60.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
60.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
59.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
58.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
58.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
58.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
58.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
57.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
57.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
57.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
57.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
56.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
56.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
56.5
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
56.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
54.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
54.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
54.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
53.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
53.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
53.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
52.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
52.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
52.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
51.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
49.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
48.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
46.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
46.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
45.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
45.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
45.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
45.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
44.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
44.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
44.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
42.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
42.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
42.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
41.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
41.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
40.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
40.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
40.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
39.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
39.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
38.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
37.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
37.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
37.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
36.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
36.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
36.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
35.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
34.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
34.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
34.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
34.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
33.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
33.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
33.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
33.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
32.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
31.6
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
31.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
31.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
30.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
28.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
28.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
27.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
27.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
27.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
27.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
26.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
26.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
25.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
24.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
24.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
24.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
23.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
23.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
23.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
23.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
22.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
22.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
22.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
22.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
21.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
20.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
20.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
20.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
20.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
20.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
20.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
20.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
19.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
19.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
19.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
19.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
19.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
18.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
18.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
17.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
16.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
16.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
16.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
16.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
15.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
15.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
15.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
15.5
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
15.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
15.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
14.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
14.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
13.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
13.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
12.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
12.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
12.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
12.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
11.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
11.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
11.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
11.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
11.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
11.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
11.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
10.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
10.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
9.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
9.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
9.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
9.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
8.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
8.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
8.3
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
8.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
7.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
7.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
7.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
7.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
7.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
7.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
7.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
6.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
6.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
6.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
6.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
6.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
6.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
6.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
6.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
6.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
6.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
6.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
5.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
4.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
4.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
4.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
4.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 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.
TIMP3 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
98.4
Number of samples
486
Samples
Sample
Description
TPM
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
529.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
495.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
388.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
380.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
375.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
348.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
338.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
328.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
317.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
302.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
284.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
282.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
278.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
268.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
265.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
264.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
257.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
253.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
237.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
235.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
234.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
230.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
224.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
220.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
218.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
217.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
214.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
211.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
211.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
210.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
208.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
206.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
198.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
197.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
194.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
189.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
189.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
188.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
187.9
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
183.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
183.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
182.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
182.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
182.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
182.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
179.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
177.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
177.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
177.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
175.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
173.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
173.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
170.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
169.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
168.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
167.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
165.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
165.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
163.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
163.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
163.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
163.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
161.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
161.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
160.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
159.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
158.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
158.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
158.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
157.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
157.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
157.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
156.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
155.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
155.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
155.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
154.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
154.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
154.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
153.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
152.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
152.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
151.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
150.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
150.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
150.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
149.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
148.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
148.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
148.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
147.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
146.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
146.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
146.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
145.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
145.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
145.5
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
143.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
143.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
142.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
141.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
141.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
140.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
140.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
139.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
138.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
138.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
137.1
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
136.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
136.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
136.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
136.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
136.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
135.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
135.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
135.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
134.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
134.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
134.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
133.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
133.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
131.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
130.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
130.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
128.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
128.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
128.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
127.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
127.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
127.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
126.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
126.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
125.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
125.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
125.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
125.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
124.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
124.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
122.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
122.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
122.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
122.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
121.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
121.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
121.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
120.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
119.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
119.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
118.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
117.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
117.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
116.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
116.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
116.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
115.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
115.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
115.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
114.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
112.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
112.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
111.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
111.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
109.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
109.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
109.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
108.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
108.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
108.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
108.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
108.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
106.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
106.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
105.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
105.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
105.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
104.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
104.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
104.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
104.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
103.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
103.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
103.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
103.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
101.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
101.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
101.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
100.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
100.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
100.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
99.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
99.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
99.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
99.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
98.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
98.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
97.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
97.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
97.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
96.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
96.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
96.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
96.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
96.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
95.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
95.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
95.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
95.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
95.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
94.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
94.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
94.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
94.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
94.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
94.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
94.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
93.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
93.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
93.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
93.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
93.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
93.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
93.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
92.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
92.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
92.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
92.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
92.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
92.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
92.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
91.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
91.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
91.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
91.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
91.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
91.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
91.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
90.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
90.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
89.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
89.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
89.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
89.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
89.2
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
87.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
86.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
86.3
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
85.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
85.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
83.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
83.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
82.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
82.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
81.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
81.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
81.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
81.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
80.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
80.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
80.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
80.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
80.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
80.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
78.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
78.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
78.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
78.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
78.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
77.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
77.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
77.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
77.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
77.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
76.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
76.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
76.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
76.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
76.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
75.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
75.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
75.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
74.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
74.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
74.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
74.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
74.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
74.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
74.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
73.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
73.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
72.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
72.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
71.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
71.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
71.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
71.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
70.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
69.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
69.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
68.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
68.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
68.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
68.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
66.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
66.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
66.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
66.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
66.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
65.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
65.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
65.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
64.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
63.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
63.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
62.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
62.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
62.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
62.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
62.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
61.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
60.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
60.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
60.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
60.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
59.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
59.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
58.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
58.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
57.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
57.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
57.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
57.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
56.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
56.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
56.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
55.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
55.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
55.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
55.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
55.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
55.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
55.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
54.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
54.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
53.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
53.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
53.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
53.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
53.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
53.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
52.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
52.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
52.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
52.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
51.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
50.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
50.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
50.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
50.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
50.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
50.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
50.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
50.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
50.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
49.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
49.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
49.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
48.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
48.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
48.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
48.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
47.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
47.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
47.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
47.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
47.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
46.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
46.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
46.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
46.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
45.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
45.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
44.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
44.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
44.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
44.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
44.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
43.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
43.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
43.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
42.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
41.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
41.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
41.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
40.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
40.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
40.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
39.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
39.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
39.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
39.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
39.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
38.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
38.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
38.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
37.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
37.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
37.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
37.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
36.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
36.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
36.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
36.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
35.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
35.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
35.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
34.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
34.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
33.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
33.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
33.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
33.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
33.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
32.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
32.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
32.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
32.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
32.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
32.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
31.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
31.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
31.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
30.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
30.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
29.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
29.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
29.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
29.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
29.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
28.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
28.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
28.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
27.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
27.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
27.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
26.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
26.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
25.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
24.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
24.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
24.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
24.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
24.2
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
23.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
23.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
23.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
22.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
22.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
21.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
21.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
21.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
20.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
20.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
20.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
19.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
19.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
18.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
18.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
18.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
18.0
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
17.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
17.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
17.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
16.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
15.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
15.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
15.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
15.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
15.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
14.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
14.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
9.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
9.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
8.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
6.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.8
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
TIMP3 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
62.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
377.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
325.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
176.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
173.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
157.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
155.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
143.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
125.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
112.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
104.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
104.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
104.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
100.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
98.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
95.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
91.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
91.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
90.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
89.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
88.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
86.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
84.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
81.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
79.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
79.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
78.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
77.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
75.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
71.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
71.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
70.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
69.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
67.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
66.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
64.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
62.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
61.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
60.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
54.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
52.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
51.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
51.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
49.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
45.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
45.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
44.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
44.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
42.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
42.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
41.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
40.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
40.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
39.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
38.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
38.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
37.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
37.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
34.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
30.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
29.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
27.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
26.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
26.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
25.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
23.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
21.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
21.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
21.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
18.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
18.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
18.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
17.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
17.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
16.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
16.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
15.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
14.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
13.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
13.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
12.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
10.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
10.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
8.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
8.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
6.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
5.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
4.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
TIMP3 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
101.1
Number of samples
207
Samples
Sample
Description
TPM
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
875.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
567.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
492.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
367.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
367.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
357.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
342.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
310.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
296.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
295.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
268.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
262.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
248.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
232.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
220.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
220.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
212.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
197.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
191.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
191.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
187.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
186.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
186.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
185.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
184.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
179.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
177.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
170.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
166.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
160.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
160.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
158.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
157.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
157.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
154.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
153.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
149.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
149.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
143.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
142.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
139.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
139.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
138.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
137.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
136.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
134.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
130.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
129.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
128.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
127.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
126.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
125.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
125.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
124.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
124.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
122.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
117.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
114.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
114.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
113.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
112.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
111.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
110.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
109.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
108.7
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
108.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
108.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
107.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
105.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
105.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
104.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
103.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
102.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
101.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
99.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
99.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
98.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
98.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
96.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
95.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
95.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
91.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
90.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
88.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
88.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
87.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
87.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
87.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
87.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
87.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
84.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
84.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
83.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
82.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
81.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
80.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
80.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
79.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
79.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
79.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
79.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
77.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
77.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
76.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
75.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
75.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
74.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
73.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
70.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
70.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
69.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
69.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
68.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
67.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
66.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
66.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
64.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
64.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
62.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
62.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
62.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
62.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
62.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
61.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
61.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
59.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
59.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
59.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
59.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
58.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
58.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
57.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
55.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
55.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
55.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
54.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
53.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
53.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
53.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
52.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
52.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
52.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
50.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
50.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
50.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
49.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
48.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
47.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
47.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
46.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
45.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
45.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
45.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
44.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
44.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
43.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
41.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
41.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
41.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
41.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
40.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
40.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
40.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
39.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
39.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
39.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
38.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
38.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
38.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
37.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
36.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
35.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
35.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
35.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
35.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
35.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
34.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
33.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
31.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
31.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
30.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
29.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
29.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
28.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
28.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
27.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
25.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
25.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
25.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
25.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
24.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
22.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
20.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
19.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
19.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
19.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
18.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
17.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
17.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
16.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
15.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
14.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
14.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
11.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
7.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
7.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
6.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
2.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
1.9
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
1.9
3a17283c-a0f4-4514-956b-080d11_D2
Normal
1.9
da747cee-5026-4923-af63-ad9f81_D2
Normal
1.8
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
1.8
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
1.6
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
1.5
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
1.5
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
1.4
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
1.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
1.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
1.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
1.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
1.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
1.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
1.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
1.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
1.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
1.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
1.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
1.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
1.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
1.0
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.9
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.9
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.8
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.8
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.8
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.8
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.8
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.8
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.8
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.8
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.7
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.7
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.7
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.7
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.7
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.7
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.7
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.6
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.6
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.6
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.6
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.6
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.6
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.6
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.6
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.5
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.5
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.5
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.5
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.5
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.4
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.0
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.4
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.4
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.4
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.5
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.5
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.5
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.5
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.5
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.5
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.5
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.5
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.5
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.6
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.6
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.6
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.6
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.7
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.7
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.7
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.7
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.7
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.8
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.8
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.8
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.8
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.8
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.8
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.8
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.8
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.9
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.9
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.9
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.9
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.9
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-1.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-1.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-1.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-1.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-1.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-1.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-1.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-1.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-1.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-1.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-1.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-1.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-1.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-1.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-1.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-1.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-1.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-1.5
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-1.5
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-1.5
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-1.5
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-1.6
43192517-085e-450e-9481-0a6713_D3
Tumor
-1.6
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-1.8
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-1.8
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-1.8
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-1.9
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-1.9
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-2.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-2.3
8cc7e656-0152-4359-8566-0581c3
Tumor
-2.3
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.
The Human Protein Atlas project is funded
