We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
OGFR 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
43.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
110.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
103.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
94.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
90.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
89.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
89.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
86.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
84.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
81.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
79.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
79.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
77.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
76.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
76.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
75.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
75.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
75.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
74.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
73.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
73.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
71.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
71.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
70.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
70.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
70.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
70.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
69.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
68.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
67.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
66.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
66.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
65.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
63.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
63.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
62.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
62.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
61.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
61.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
60.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
60.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
60.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
59.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
59.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
59.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
59.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
59.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
58.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
57.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
57.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
56.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
56.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
54.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
54.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
54.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
54.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
54.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
54.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
54.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
53.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
53.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
53.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
53.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
53.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
52.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
52.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
52.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
52.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
52.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
52.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
52.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
52.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
51.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
51.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
50.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
50.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
49.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
49.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
49.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
49.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
48.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
48.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
48.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
48.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
48.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
48.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
47.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
47.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
47.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
47.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
46.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
46.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
46.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
46.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
45.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
45.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
45.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
45.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
45.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
45.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
45.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
44.5
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
44.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
44.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
44.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
44.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
44.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
44.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
43.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
43.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
42.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
42.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
42.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
42.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
42.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
42.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
42.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
42.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
41.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
41.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
41.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
41.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
41.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
41.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
40.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
40.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
40.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
40.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
39.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
39.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
38.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
38.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
38.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
38.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
38.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
38.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
37.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
37.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
37.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
37.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
37.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
36.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
36.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
36.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
36.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
36.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
36.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
36.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
36.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
36.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
36.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
36.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
36.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
35.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
35.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
35.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
34.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
34.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
34.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
34.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
34.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
34.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
34.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
34.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
33.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
33.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
33.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
33.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
33.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
33.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
33.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
33.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
33.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
33.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
33.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
33.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
32.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
32.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
32.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
32.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
32.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
32.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
32.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
31.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
31.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
31.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
31.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
31.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
31.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
31.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
31.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
30.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
30.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
30.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
30.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
30.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
30.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
29.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
29.4
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
29.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
29.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
29.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
29.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
28.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
28.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
28.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
28.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
28.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
27.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
27.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
27.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
27.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
27.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
27.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
25.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
24.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
24.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
24.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
24.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
24.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
24.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
24.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
23.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
23.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
23.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
22.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
22.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
21.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
21.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
21.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
21.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
21.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
21.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
21.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
20.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
20.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
20.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
20.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
20.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
20.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
19.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
19.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
19.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
19.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
19.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
19.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
18.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
18.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
18.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
16.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
15.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
14.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
14.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
11.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 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.
OGFR 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
39.1
Number of samples
486
Samples
Sample
Description
TPM
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
126.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
102.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
93.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
89.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
89.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
83.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
82.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
78.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
75.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
73.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
73.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
71.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
71.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
70.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
69.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
69.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
68.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
68.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
67.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
66.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
66.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
66.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
65.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
64.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
64.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
64.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
63.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
62.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
62.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
62.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
62.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
61.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
61.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
60.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
60.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
60.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
60.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
60.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
60.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
60.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
60.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
59.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
59.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
59.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
59.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
58.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
58.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
58.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
58.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
58.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
58.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
57.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
57.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
57.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
56.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
56.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
56.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
56.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
55.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
55.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
54.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
54.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
54.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
54.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
53.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
53.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
53.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
53.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
53.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
53.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
52.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
52.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
52.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
52.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
51.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
51.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
51.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
51.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
51.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
51.0
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
50.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
50.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
50.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
50.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
50.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
50.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
50.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
50.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
49.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
49.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
49.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
49.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
49.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
49.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
49.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
49.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
49.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
49.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
49.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
49.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
48.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
48.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
48.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
48.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
48.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
48.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
48.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
48.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
47.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
47.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
47.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
47.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
47.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
47.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
47.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
47.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
47.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
47.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
47.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
47.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
47.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
47.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
46.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
46.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
46.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
46.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
46.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
46.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
46.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
45.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
45.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
45.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
45.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
45.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
45.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
45.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
45.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
45.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
45.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
45.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
45.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
44.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
44.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
44.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
44.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
44.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
44.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
44.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
44.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
44.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
44.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
43.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
43.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
43.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
43.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
43.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
43.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
43.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
43.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
43.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
43.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
42.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
42.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
42.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
42.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
42.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
42.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
42.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
42.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
42.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
42.3
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
42.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
42.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
42.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
41.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
41.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
41.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
41.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
41.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
41.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
41.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
40.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
40.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
40.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
40.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
40.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
40.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
40.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
40.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
40.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
40.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
40.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
39.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
39.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
39.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
39.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
39.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
39.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
39.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
39.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
39.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
39.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
38.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
38.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
38.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
38.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
38.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
38.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
38.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
38.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
38.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
38.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
38.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
38.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
37.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
37.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
37.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
37.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
37.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
37.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
37.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
37.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
37.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
37.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
37.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
37.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
37.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
37.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
37.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
37.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
37.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
37.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
37.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
37.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
36.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
36.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
36.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
36.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
36.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
36.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
36.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
36.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
36.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
36.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
36.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
36.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
36.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
36.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
36.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
36.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
36.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
36.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
35.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
35.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
35.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
35.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
35.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
35.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
35.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
35.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
35.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
35.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
35.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
35.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
35.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
34.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
34.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
34.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
34.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
34.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
34.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
34.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
34.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
34.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
34.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
34.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
34.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
34.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
34.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
34.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
34.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
34.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
34.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
34.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
34.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
34.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
34.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
33.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
33.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
33.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
33.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
33.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
33.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
33.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
33.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
33.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
33.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
33.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
33.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
33.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
33.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
33.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
33.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
33.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
33.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
33.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
32.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
32.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
32.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
32.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
32.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
32.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
32.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
32.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
32.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
32.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
32.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
32.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
32.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
31.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
31.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
31.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
31.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
31.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
31.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
31.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
31.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
31.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
31.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
31.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
31.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
31.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
31.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
31.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
30.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
30.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
30.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
30.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
30.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
30.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
30.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
30.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
30.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
30.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
30.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
30.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
30.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
30.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
30.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
30.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
30.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
30.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
29.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
29.9
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
29.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
29.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
29.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
29.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
29.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
29.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
29.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
29.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
29.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
29.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
29.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
29.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
29.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
29.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
29.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
28.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
28.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
28.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
28.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
28.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
28.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
28.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
28.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
28.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
28.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
28.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
28.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
28.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
28.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
28.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
27.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
27.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
27.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
27.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
27.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
27.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
27.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
27.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
27.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
27.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
27.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
27.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
26.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
26.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
26.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
26.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
26.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
26.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
26.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
26.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
26.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
26.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
26.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
26.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
26.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
26.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
26.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
26.1
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
26.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
26.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
26.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
25.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
25.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
25.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
25.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
25.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
25.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
25.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
25.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
25.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
25.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
25.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
25.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
25.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
25.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
25.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
25.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
25.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
25.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
25.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
25.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
24.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
24.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
24.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
24.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
24.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
24.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
24.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
24.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
24.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
24.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
24.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
24.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
23.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
23.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
23.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
23.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
23.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
23.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
23.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
23.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
23.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
23.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
23.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
22.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
22.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
22.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
22.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
22.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
22.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
21.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
21.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
21.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
21.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
21.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
20.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
20.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
20.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
20.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
19.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
19.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
18.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
18.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
18.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
18.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
17.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
17.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
16.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
16.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
15.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.1
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
OGFR 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
42.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
87.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
81.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
78.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
74.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
69.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
67.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
64.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
62.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
62.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
61.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
61.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
61.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
60.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
60.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
59.3
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
58.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
57.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
55.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
52.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
52.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
52.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
51.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
50.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
50.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
50.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
50.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
49.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
49.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
48.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
48.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
47.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
47.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
46.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
45.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
45.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
45.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
44.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
44.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
43.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
42.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
42.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
42.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
41.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
41.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
41.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
40.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
40.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
40.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
40.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
39.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
38.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
38.0
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
37.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
37.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
36.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
36.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
36.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
35.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
35.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
35.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
33.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
33.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
33.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
33.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
33.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
32.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
32.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
32.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
31.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
31.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
30.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
30.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
28.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
28.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
26.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
25.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
25.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
25.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
25.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
25.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
25.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
23.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
23.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
22.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
19.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
18.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
17.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 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.
OGFR is potential prognostic, high expression is favorable 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
37.7
Number of samples
207
Samples
Sample
Description
TPM
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
84.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
83.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
76.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
74.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
71.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
71.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
69.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
63.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
62.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
61.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
60.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
60.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
59.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
59.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
59.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
58.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
58.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
58.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
56.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
55.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
55.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
53.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
53.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
53.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
53.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
52.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
52.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
52.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
52.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
50.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
50.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
50.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
49.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
49.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
49.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
48.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
48.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
48.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
47.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
47.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
47.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
46.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
46.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
46.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
46.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
46.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
46.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
46.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
46.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
46.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
45.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
45.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
45.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
45.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
44.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
44.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
44.5
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
44.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
44.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
44.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
43.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
43.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
43.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
42.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
42.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
42.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
42.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
42.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
41.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
41.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
41.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
41.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
40.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
40.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
40.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
40.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
40.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
40.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
39.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
39.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
39.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
39.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
39.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
39.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
39.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
39.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
39.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
39.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
38.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
38.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
38.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
38.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
37.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
37.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
37.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
37.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
37.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
36.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
36.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
36.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
36.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
36.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
35.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
35.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
35.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
35.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
35.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
35.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
34.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
34.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
34.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
34.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
33.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
33.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
33.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
33.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
33.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
33.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
32.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
32.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
32.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
32.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
32.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
31.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
31.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
31.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
31.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
31.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
31.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
31.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
31.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
30.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
30.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
30.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
30.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
30.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
30.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
30.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
30.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
30.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
30.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
29.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
29.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
29.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
29.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
29.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
29.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
29.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
28.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
28.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
28.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
28.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
28.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
27.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
27.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
27.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
27.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
27.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
27.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
27.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
27.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
27.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
27.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
26.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
26.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
26.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
26.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
26.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
26.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
25.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
25.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
25.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
25.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
25.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
25.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
25.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
25.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
25.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
24.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
24.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
24.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
24.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
24.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
24.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
24.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
23.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
23.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
23.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
23.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
23.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
22.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
22.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
22.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
22.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
21.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
20.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
20.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
20.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
20.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
20.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
20.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
19.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
18.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
18.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
16.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
10.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
10.3
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.9
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.8
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.7
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.6
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.6
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.6
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.6
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.6
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.5
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.5
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.5
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.5
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.5
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.5
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.5
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.5
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.4
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.4
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.4
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.4
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.4
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.4
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.4
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.4
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.4
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.4
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.5
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.5
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.5
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.5
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.5
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.5
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.5
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.5
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.5
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.5
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.6
5347d2ce-df0c-4d81-a3e2-22db11_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.