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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.
CANX 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
52.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
358.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
301.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
279.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
275.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
270.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
260.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
256.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
240.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
233.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
227.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
224.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
219.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
214.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
201.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
192.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
190.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
187.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
186.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
172.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
170.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
168.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
165.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
161.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
157.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
151.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
150.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
148.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
147.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
145.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
141.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
141.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
140.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
140.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
134.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
134.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
132.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
128.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
128.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
127.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
122.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
122.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
119.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
118.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
118.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
118.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
116.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
116.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
116.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
115.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
115.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
115.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
114.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
112.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
111.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
111.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
104.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
102.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
100.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
99.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
98.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
98.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
97.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
89.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
89.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
86.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
85.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
84.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
83.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
81.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
81.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
80.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
78.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
72.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
70.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
70.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
69.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
66.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
64.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
57.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
56.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
53.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
52.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
49.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
44.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
43.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
42.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
42.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
40.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
37.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
36.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
36.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
36.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
34.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
32.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
32.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
31.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
31.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
31.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
29.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
28.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
27.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
27.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
25.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
25.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
25.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
24.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
24.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
23.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
23.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
23.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
23.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
21.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
21.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
20.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
19.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
19.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
19.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
18.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
17.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
17.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
17.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
17.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
17.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
16.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
16.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
14.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
14.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
14.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
14.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
14.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
14.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
14.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
13.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
13.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
13.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
13.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
12.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
12.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
12.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
12.5
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
12.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
12.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
12.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
11.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
11.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
11.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
11.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
11.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
10.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
10.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
10.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
8.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
8.9
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
8.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
8.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
7.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
7.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
7.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
7.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
7.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
6.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
6.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
6.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
6.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
6.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
6.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
6.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
6.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
5.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
5.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
5.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
5.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
5.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
5.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
5.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
5.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
5.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
4.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
4.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
4.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
4.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
4.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
4.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
4.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
4.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
3.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
3.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
3.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
3.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
3.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
3.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
3.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
3.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
3.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
3.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
3.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
3.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
3.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
3.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
2.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
2.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
2.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
2.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
2.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
2.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
2.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
2.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
2.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
2.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
2.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
2.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
2.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
2.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
2.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
2.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
2.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
2.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
2.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
2.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
2.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
2.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
2.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
1.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
1.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
1.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
1.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
1.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
1.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
1.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
1.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
1.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
1.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
1.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
1.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
1.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
1.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
1.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
1.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
1.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
1.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
1.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
1.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
1.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
1.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
1.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
1.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
1.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
1.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
1.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
1.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
1.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
0.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 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.
CANX 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
68.8
Number of samples
486
Samples
Sample
Description
TPM
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
396.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
367.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
344.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
336.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
307.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
288.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
253.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
242.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
238.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
231.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
231.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
224.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
222.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
218.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
205.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
202.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
201.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
200.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
198.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
197.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
197.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
191.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
189.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
188.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
185.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
185.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
178.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
177.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
173.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
172.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
171.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
167.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
167.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
162.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
160.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
159.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
156.5
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
155.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
155.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
152.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
152.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
150.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
148.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
148.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
147.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
146.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
144.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
139.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
139.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
139.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
138.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
137.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
137.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
137.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
136.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
135.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
134.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
133.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
132.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
130.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
129.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
127.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
127.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
125.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
123.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
120.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
120.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
120.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
120.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
117.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
116.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
116.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
115.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
110.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
110.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
109.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
106.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
105.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
103.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
103.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
100.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
100.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
99.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
98.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
97.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
95.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
95.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
92.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
92.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
91.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
90.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
90.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
87.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
87.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
87.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
85.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
84.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
82.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
82.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
81.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
81.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
81.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
80.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
80.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
79.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
78.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
78.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
77.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
77.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
76.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
75.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
73.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
73.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
73.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
72.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
72.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
72.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
71.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
71.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
71.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
71.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
69.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
69.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
69.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
68.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
68.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
68.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
68.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
66.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
66.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
66.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
66.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
66.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
66.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
66.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
65.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
65.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
64.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
64.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
64.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
64.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
64.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
63.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
63.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
63.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
63.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
63.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
63.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
63.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
62.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
62.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
62.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
62.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
62.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
62.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
61.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
61.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
61.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
61.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
61.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
61.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
60.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
60.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
60.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
60.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
60.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
60.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
59.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
59.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
59.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
59.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
59.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
59.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
58.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
58.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
58.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
58.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
58.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
58.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
57.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
57.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
57.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
57.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
56.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
56.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
56.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
56.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
56.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
56.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
56.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
56.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
55.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
55.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
55.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
55.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
55.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
55.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
55.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
55.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
55.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
55.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
55.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
54.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
54.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
54.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
54.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
54.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
54.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
54.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
53.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
53.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
53.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
53.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
53.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
53.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
53.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
53.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
53.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
53.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
52.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
52.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
52.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
52.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
52.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
52.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
52.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
52.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
51.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
51.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
51.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
51.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
51.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
51.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
51.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
51.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
51.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
51.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
50.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
50.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
50.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
50.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
50.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
50.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
50.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
50.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
50.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
50.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
49.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
49.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
49.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
49.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
49.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
49.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
49.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
49.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
49.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
49.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
49.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
49.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
49.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
49.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
48.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
48.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
48.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
48.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
48.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
48.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
48.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
48.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
48.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
48.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
48.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
48.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
48.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
48.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
47.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
47.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
47.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
47.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
47.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
47.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
47.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
47.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
46.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
46.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
46.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
46.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
46.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
46.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
46.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
46.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
46.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
46.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
45.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
45.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
45.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
45.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
45.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
45.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
45.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
45.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
45.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
45.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
45.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
45.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
45.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
45.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
44.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
44.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
44.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
44.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
44.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
44.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
44.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
44.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
44.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
44.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
44.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
44.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
44.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
43.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
43.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
43.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
43.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
43.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
43.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
43.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
43.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
43.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
43.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
43.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
43.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
43.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
42.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
42.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
42.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
42.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
42.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
42.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
42.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
42.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
42.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
42.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
42.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
42.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
42.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
41.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
41.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
41.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
41.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
41.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
41.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
41.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
41.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
41.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
40.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
40.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
40.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
40.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
40.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
40.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
39.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
39.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
39.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
39.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
39.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
39.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
39.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
38.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
38.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
38.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
38.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
38.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
38.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
38.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
38.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
38.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
38.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
38.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
38.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
37.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
37.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
37.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
37.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
37.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
37.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
37.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
37.4
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
37.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
37.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
37.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
36.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
36.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
36.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
36.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
36.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
36.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
36.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
35.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
35.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
35.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
35.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
35.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
35.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
35.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
35.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
35.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
35.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
35.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
35.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
34.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
34.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
34.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
34.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
34.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
34.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
34.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
34.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
34.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
34.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
33.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
33.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
33.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
33.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
33.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
32.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
32.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
32.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
32.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
32.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
32.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
31.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
31.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
31.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
31.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
31.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
31.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
30.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
30.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
30.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
30.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
30.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
29.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
29.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
29.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
29.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
29.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
28.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
28.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
28.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
28.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
28.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
28.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
28.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
28.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
27.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
27.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
27.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
26.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
25.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
25.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
25.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
24.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
24.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
23.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
23.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
23.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
23.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
22.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
22.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
21.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
21.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
21.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
20.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
20.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
20.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
19.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
18.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
18.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
17.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
16.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
14.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
14.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
5.5
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.
CANX 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
38.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
287.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
257.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
232.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
213.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
187.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
182.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
168.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
157.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
143.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
128.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
114.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
101.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
96.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
96.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
72.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
66.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
51.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
47.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
42.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
42.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
36.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
34.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
32.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
32.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
31.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
30.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
27.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
27.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
23.6
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
22.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
21.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
21.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
20.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
20.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
20.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
18.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
17.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
16.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
16.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
15.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
12.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
11.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
10.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
10.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
8.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
8.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
7.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
7.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
7.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
6.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
5.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
5.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
5.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
5.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
4.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
4.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
4.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
4.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
4.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
3.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
3.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
3.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
3.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
3.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
3.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
3.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
3.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
3.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
3.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
2.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
2.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
2.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
2.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
2.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
2.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
2.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
2.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
2.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
1.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
1.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
1.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
1.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
1.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
1.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
1.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
1.4
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
1.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 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.
CANX 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
64.7
Number of samples
207
Samples
Sample
Description
TPM
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
334.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
299.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
258.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
239.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
199.9
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
192.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
191.9
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
179.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
179.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
178.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
173.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
173.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
158.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
157.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
156.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
152.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
150.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
150.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
149.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
146.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
139.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
137.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
133.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
133.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
123.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
119.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
117.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
114.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
113.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
109.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
106.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
105.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
101.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
100.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
100.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
98.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
97.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
95.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
95.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
94.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
90.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
90.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
90.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
86.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
81.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
76.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
76.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
75.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
73.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
72.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
71.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
70.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
68.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
68.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
65.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
64.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
64.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
64.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
63.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
63.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
61.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
61.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
61.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
59.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
58.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
58.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
58.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
57.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
56.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
56.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
56.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
56.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
56.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
55.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
55.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
54.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
54.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
54.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
54.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
53.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
53.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
52.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
52.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
52.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
52.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
52.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
51.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
51.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
50.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
50.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
50.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
49.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
49.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
49.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
49.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
49.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
49.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
48.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
48.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
48.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
47.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
47.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
47.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
47.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
46.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
46.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
46.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
46.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
46.1
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
45.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
45.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
45.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
45.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
45.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
45.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
44.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
44.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
44.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
44.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
43.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
43.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
43.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
43.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
43.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
43.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
43.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
42.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
42.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
42.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
42.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
41.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
41.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
41.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
41.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
41.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
40.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
40.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
40.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
39.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
39.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
38.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
38.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
38.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
38.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
37.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
37.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
37.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
36.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
36.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
36.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
36.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
36.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
35.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
35.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
34.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
34.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
34.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
34.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
34.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
34.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
34.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
33.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
33.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
33.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
32.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
32.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
31.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
31.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
31.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
31.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
30.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
30.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
30.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
30.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
30.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
29.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
29.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
29.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
28.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
28.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
28.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
28.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
28.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
27.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
27.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
27.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
26.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
26.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
26.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
26.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
25.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
25.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
24.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
24.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
23.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
22.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
22.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
21.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
20.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
20.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
19.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
17.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
17.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
17.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
14.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
9.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
9.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.9
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.6
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.6
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.5
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.5
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.5
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.5
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
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Tumor
0.2
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Tumor
0.1
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Normal
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
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Tumor
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
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Tumor
0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
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Tumor
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.0
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
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Normal
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
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Normal
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
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Normal
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
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Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
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Tumor
-0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
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Tumor
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.4
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.4
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.5
b2400046-1d25-429d-a821-6040a6
Tumor
-0.5
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.5
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.5
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.6
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.7
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.