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.
PLIN2 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
44.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
174.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
173.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
149.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
139.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
115.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
106.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
105.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
105.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
102.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
100.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
97.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
94.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
93.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
92.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
91.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
90.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
90.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
88.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
88.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
85.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
85.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
85.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
85.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
84.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
81.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
80.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
79.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
77.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
77.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
77.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
77.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
75.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
74.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
73.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
72.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
72.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
71.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
70.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
68.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
68.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
67.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
67.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
66.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
66.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
66.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
66.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
65.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
65.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
65.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
65.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
64.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
64.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
63.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
63.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
63.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
62.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
62.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
62.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
62.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
62.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
62.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
61.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
61.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
61.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
60.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
59.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
59.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
58.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
57.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
57.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
57.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
55.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
54.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
54.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
54.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
52.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
52.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
52.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
52.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
52.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
51.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
51.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
51.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
51.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
49.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
49.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
49.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
49.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
48.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
48.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
48.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
48.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
48.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
48.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
47.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
46.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
46.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
46.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
45.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
45.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
45.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
45.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
45.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
45.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
44.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
44.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
44.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
44.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
44.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
43.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
43.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
43.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
43.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
43.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
42.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
42.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
41.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
41.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
41.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
41.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
41.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
40.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
40.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
40.6
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
40.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
40.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
39.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
39.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
39.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
39.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
39.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
38.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
38.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
38.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
38.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
38.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
38.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
37.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
37.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
37.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
37.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
37.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
37.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
37.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
37.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
36.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
36.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
36.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
36.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
36.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
35.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
35.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
35.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
35.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
35.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
34.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
34.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
34.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
34.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
33.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
33.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
33.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
33.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
32.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
32.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
32.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
32.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
31.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
31.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
31.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
31.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
31.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
31.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
31.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
30.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
30.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
29.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
28.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
28.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
28.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
28.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
28.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
28.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
28.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
27.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
27.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
26.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
26.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
26.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
26.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
26.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
25.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
25.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
25.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
25.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
24.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
24.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
24.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
24.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
23.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
22.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
22.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
22.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
22.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
21.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
21.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
20.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
20.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
20.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
20.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
19.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
19.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
19.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
18.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
18.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
17.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
17.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
17.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
17.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
16.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
16.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
16.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
15.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
15.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
14.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
14.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
14.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
14.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
13.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
13.0
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
12.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
12.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
12.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
11.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
11.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
11.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
11.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
11.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
10.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
10.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
10.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
8.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
8.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
7.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
7.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
7.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
7.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
6.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
6.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
5.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
5.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
4.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
3.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 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.
PLIN2 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
51.5
Number of samples
486
Samples
Sample
Description
TPM
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
284.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
279.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
234.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
223.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
206.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
200.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
197.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
182.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
157.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
156.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
140.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
137.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
135.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
132.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
129.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
128.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
128.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
127.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
126.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
124.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
121.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
116.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
116.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
114.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
112.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
111.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
107.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
105.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
102.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
100.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
100.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
100.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
97.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
96.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
96.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
96.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
95.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
95.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
94.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
94.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
94.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
92.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
92.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
92.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
91.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
90.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
90.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
90.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
89.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
88.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
88.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
88.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
86.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
85.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
85.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
84.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
84.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
84.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
82.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
81.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
81.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
81.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
80.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
80.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
80.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
79.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
79.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
79.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
78.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
78.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
78.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
78.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
78.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
77.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
75.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
75.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
75.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
75.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
74.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
74.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
74.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
74.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
74.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
74.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
74.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
72.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
72.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
72.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
70.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
70.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
69.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
69.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
69.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
68.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
68.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
68.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
68.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
67.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
67.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
66.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
66.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
65.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
64.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
64.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
64.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
63.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
63.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
63.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
63.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
63.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
63.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
62.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
62.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
62.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
62.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
62.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
62.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
62.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
61.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
61.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
61.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
61.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
61.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
61.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
61.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
61.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
61.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
61.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
60.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
60.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
60.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
60.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
59.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
59.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
59.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
59.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
58.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
58.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
58.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
58.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
58.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
58.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
58.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
58.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
58.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
57.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
57.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
57.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
57.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
57.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
57.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
56.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
56.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
56.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
56.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
56.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
56.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
56.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
56.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
56.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
56.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
55.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
55.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
54.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
54.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
53.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
53.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
53.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
53.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
53.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
53.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
53.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
52.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
52.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
52.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
52.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
52.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
51.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
51.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
51.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
50.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
50.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
50.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
50.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
49.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
49.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
49.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
49.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
49.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
49.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
48.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
48.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
48.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
48.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
48.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
48.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
47.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
47.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
47.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
47.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
47.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
47.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
47.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
47.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
46.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
46.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
46.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
46.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
46.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
46.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
46.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
46.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
46.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
46.2
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
45.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
45.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
45.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
45.4
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
45.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
45.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
45.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
45.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
44.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
44.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
44.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
44.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
44.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
44.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
44.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
44.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
44.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
44.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
44.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
44.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
44.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
43.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
43.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
43.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
43.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
43.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
43.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
43.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
43.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
43.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
43.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
42.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
42.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
42.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
42.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
41.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
41.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
41.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
41.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
41.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
41.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
41.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
41.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
41.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
41.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
41.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
40.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
40.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
40.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
40.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
40.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
40.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
39.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
39.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
39.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
39.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
39.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
39.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
39.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
39.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
39.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
39.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
39.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
39.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
39.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
39.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
38.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
38.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
38.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
38.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
38.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
38.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
38.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
38.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
38.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
38.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
38.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
38.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
38.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
37.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
37.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
37.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
37.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
37.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
37.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
36.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
36.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
36.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
36.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
36.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
36.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
36.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
36.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
36.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
36.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
36.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
35.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
35.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
35.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
35.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
35.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
35.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
35.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
35.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
35.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
35.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
35.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
35.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
34.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
34.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
34.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
34.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
34.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
34.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
34.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
34.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
34.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
33.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
33.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
33.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
33.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
33.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
33.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
32.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
32.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
32.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
32.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
32.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
32.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
32.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
31.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
31.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
31.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
31.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
31.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
31.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
30.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
30.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
30.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
30.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
30.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
30.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
30.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
30.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
30.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
29.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
29.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
29.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
29.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
29.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
29.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
29.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
29.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
29.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
29.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
29.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
29.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
29.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
29.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
29.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
29.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
29.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
29.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
29.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
28.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
28.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
28.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
28.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
28.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
28.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
28.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
28.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
28.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
28.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
27.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
27.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
27.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
27.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
27.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
27.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
27.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
27.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
27.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
27.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
27.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
27.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
27.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
26.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
26.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
26.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
26.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
26.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
26.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
26.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
26.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
26.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
26.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
26.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
26.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
26.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
25.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
25.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
25.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
25.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
25.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
25.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
25.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
25.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
25.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
25.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
24.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
24.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
24.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
24.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
24.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
24.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
23.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
23.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
23.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
23.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
23.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
23.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
23.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
23.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
23.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
23.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
23.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
22.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
22.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
22.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
22.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
21.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
21.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
21.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
21.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
20.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
20.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
20.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
19.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
19.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
19.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
19.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
19.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
18.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
17.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
17.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
16.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
16.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
16.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
16.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
15.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
15.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
15.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
15.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
14.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
14.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
14.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
14.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
13.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
13.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
13.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
13.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
13.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
12.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
12.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
10.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
10.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
9.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
8.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
7.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.2
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.
PLIN2 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
51.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
172.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
153.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
146.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
142.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
122.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
107.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
106.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
99.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
96.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
95.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
89.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
87.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
78.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
77.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
76.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
73.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
69.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
69.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
68.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
68.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
67.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
67.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
66.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
66.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
59.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
58.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
58.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
56.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
55.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
55.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
54.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
53.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
53.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
51.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
50.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
50.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
50.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
49.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
49.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
49.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
48.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
47.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
46.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
43.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
43.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
42.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
42.4
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
41.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
41.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
38.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
38.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
38.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
37.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
37.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
37.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
34.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
34.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
34.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
33.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
33.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
32.0
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
32.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
31.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
30.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
29.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
29.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
29.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
29.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
28.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
25.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
25.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
25.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
21.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
21.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
20.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
18.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
18.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
18.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
17.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
16.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
16.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
15.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
13.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
9.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
9.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
5.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
5.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 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.
PLIN2 is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
50.9
Number of samples
207
Samples
Sample
Description
TPM
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
404.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
177.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
173.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
167.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
125.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
117.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
106.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
106.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
106.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
103.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
101.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
98.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
98.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
93.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
91.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
90.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
88.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
86.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
85.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
85.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
84.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
84.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
83.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
81.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
81.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
80.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
78.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
76.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
76.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
75.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
74.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
74.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
74.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
73.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
72.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
71.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
70.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
70.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
69.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
68.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
67.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
67.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
66.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
66.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
65.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
64.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
64.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
64.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
63.8
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
63.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
63.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
63.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
63.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
62.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
62.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
61.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
61.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
61.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
60.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
60.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
60.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
60.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
59.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
58.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
57.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
57.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
57.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
57.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
56.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
56.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
55.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
55.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
55.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
54.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
53.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
53.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
53.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
53.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
53.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
52.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
52.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
52.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
52.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
51.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
50.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
50.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
50.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
49.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
49.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
49.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
49.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
48.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
48.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
48.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
48.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
48.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
47.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
46.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
46.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
46.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
46.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
46.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
45.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
45.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
45.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
45.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
45.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
44.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
43.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
43.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
43.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
43.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
42.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
42.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
41.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
41.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
41.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
40.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
40.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
40.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
39.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
39.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
39.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
38.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
38.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
38.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
37.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
37.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
37.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
37.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
37.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
37.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
36.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
36.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
35.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
34.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
34.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
34.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
34.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
34.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
34.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
34.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
33.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
33.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
32.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
32.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
32.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
31.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
31.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
31.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
31.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
30.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
30.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
30.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
30.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
29.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
29.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
28.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
28.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
28.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
28.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
27.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
27.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
26.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
26.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
25.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
25.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
25.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
25.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
25.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
25.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
24.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
23.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
23.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
23.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
23.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
22.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
22.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
21.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
21.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
20.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
20.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
19.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
19.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
18.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
18.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
18.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
18.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
17.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
17.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
17.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
17.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
16.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
16.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
16.0
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
15.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
15.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
14.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
14.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
13.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
12.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
9.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
9.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
8.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
7.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
5.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
4.8
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
1.9
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
1.7
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
1.6
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
1.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
1.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
1.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
1.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
1.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
1.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.9
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.9
b2400046-1d25-429d-a821-6040a6
Tumor
0.9
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.9
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.9
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.9
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.8
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.7
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.7
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.6
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.6
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.6
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.6
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.5
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.5
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.5
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.5
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.5
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.4
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.4
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.4
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.4
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.4
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.4
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.4
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.5
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.5
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.5
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.5
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.5
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.5
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.5
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.5
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.5
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.5
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.5
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.5
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.5
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.6
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.6
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.6
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.6
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.6
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.6
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.6
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.6
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.6
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.6
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.6
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.6
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.6
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.7
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.7
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.7
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.7
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.7
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.7
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.7
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.7
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.7
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.7
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.7
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.7
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.7
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.7
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.7
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.7
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.7
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.7
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.7
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.8
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.8
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.8
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.8
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.8
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.8
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.8
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.8
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.8
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.8
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.8
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.8
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.8
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.8
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.9
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.9
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.9
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.9
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.9
82157a70-12f1-4913-b548-d98881_D2
Normal
-1.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-1.0
41a04113-2061-4923-bca5-da586c_D2
Normal
-1.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-1.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-1.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-1.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-1.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-1.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-1.5
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
