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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
H1-2 is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
59.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
1727.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
1240.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
1204.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
1076.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
988.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
923.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
264.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
215.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
171.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
168.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
148.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
140.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
127.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
123.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
118.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
116.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
114.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
109.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
109.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
108.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
102.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
95.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
92.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
92.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
90.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
82.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
79.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
74.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
69.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
68.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
62.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
61.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
60.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
57.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
55.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
55.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
54.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
53.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
51.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
48.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
46.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
45.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
45.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
44.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
44.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
44.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
42.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
41.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
41.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
40.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
40.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
39.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
39.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
39.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
39.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
38.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
38.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
37.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
36.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
36.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
36.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
36.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
36.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
35.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
35.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
35.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
35.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
35.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
34.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
34.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
34.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
33.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
33.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
32.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
32.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
32.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
32.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
32.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
32.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
32.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
32.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
31.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
31.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
31.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
31.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
31.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
30.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
30.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
30.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
29.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
29.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
29.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
29.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
28.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
28.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
28.6
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
28.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
28.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
27.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
27.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
27.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
27.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
27.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
27.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
26.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
26.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
26.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
26.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
26.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
26.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
26.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
25.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
25.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
25.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
25.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
25.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
24.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
24.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
24.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
24.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
24.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
24.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
24.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
24.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
24.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
23.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
23.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
23.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
23.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
23.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
23.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
23.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
22.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
22.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
22.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
22.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
22.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
22.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
22.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
21.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
21.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
21.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
21.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
21.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
21.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
20.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
20.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
20.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
20.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
19.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
19.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
19.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
19.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
19.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
19.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
19.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
18.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
18.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
18.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
18.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
18.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
18.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
17.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
17.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
17.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
16.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
16.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
16.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
16.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
16.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
16.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
15.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
15.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
15.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
15.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
15.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
15.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
15.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
15.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
15.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
15.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
15.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
15.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
14.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
14.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
14.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
14.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
14.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
14.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
14.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
14.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
13.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
13.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
13.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
13.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
13.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
13.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
13.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
13.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
13.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
13.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
12.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
12.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
12.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
12.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
12.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
12.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
12.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
12.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
12.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
11.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
11.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
11.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
11.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
11.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
11.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
11.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
11.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
11.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
11.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
10.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
10.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
10.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
10.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
10.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
10.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
9.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
9.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
9.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
9.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
9.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
9.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
9.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
9.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
9.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
9.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
9.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
8.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
8.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
8.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
8.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
8.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
7.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
7.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
7.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
6.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
6.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
5.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
5.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
5.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
4.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
4.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
4.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 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.
H1-2 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
438.9
Number of samples
486
Samples
Sample
Description
TPM
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
1031.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
913.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
902.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
898.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
895.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
889.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
871.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
864.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
851.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
834.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
831.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
830.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
826.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
825.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
809.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
804.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
804.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
803.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
785.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
771.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
763.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
763.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
755.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
751.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
737.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
732.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
728.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
725.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
722.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
718.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
716.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
711.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
710.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
710.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
709.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
708.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
707.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
701.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
696.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
691.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
687.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
687.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
683.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
682.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
682.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
679.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
677.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
676.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
674.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
674.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
673.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
668.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
656.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
652.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
651.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
644.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
644.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
643.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
641.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
641.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
640.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
638.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
630.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
629.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
622.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
618.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
618.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
617.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
615.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
609.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
607.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
607.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
602.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
601.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
601.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
598.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
598.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
591.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
590.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
590.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
589.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
589.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
588.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
585.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
584.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
582.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
581.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
578.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
575.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
574.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
571.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
570.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
570.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
564.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
563.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
563.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
557.0
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
556.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
556.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
555.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
553.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
552.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
551.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
550.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
548.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
547.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
546.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
545.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
545.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
545.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
545.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
544.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
541.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
541.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
538.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
537.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
535.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
534.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
533.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
532.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
530.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
529.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
527.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
526.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
525.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
523.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
522.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
521.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
520.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
520.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
518.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
517.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
517.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
516.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
515.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
514.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
513.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
513.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
512.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
512.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
512.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
510.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
509.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
507.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
505.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
504.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
504.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
504.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
502.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
494.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
494.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
493.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
493.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
492.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
491.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
490.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
490.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
489.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
489.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
489.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
487.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
485.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
484.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
483.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
482.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
481.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
480.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
479.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
474.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
472.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
472.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
472.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
472.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
470.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
470.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
469.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
467.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
466.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
462.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
461.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
460.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
459.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
459.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
458.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
456.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
453.6
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
452.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
451.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
451.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
450.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
447.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
446.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
445.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
445.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
443.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
442.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
442.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
442.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
441.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
441.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
441.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
440.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
440.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
439.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
437.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
435.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
435.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
432.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
431.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
429.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
427.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
427.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
427.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
426.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
426.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
425.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
425.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
424.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
424.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
423.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
423.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
423.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
423.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
422.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
422.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
422.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
421.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
420.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
419.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
419.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
419.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
419.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
418.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
418.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
416.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
416.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
416.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
416.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
416.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
415.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
415.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
414.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
414.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
413.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
413.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
413.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
411.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
411.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
407.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
406.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
406.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
406.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
405.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
404.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
403.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
403.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
402.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
402.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
402.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
402.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
401.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
401.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
399.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
399.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
398.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
398.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
398.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
396.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
394.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
394.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
393.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
393.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
393.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
392.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
392.4
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
391.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
391.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
391.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
390.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
389.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
389.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
388.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
387.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
387.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
386.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
385.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
384.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
382.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
382.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
381.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
379.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
378.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
376.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
376.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
375.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
375.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
374.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
373.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
372.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
372.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
370.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
370.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
370.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
369.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
369.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
368.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
368.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
367.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
367.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
366.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
361.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
361.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
361.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
361.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
360.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
360.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
359.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
359.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
358.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
358.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
356.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
356.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
356.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
355.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
354.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
354.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
353.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
352.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
351.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
351.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
350.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
350.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
349.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
349.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
348.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
348.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
346.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
346.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
345.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
345.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
345.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
343.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
343.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
341.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
340.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
340.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
340.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
340.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
339.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
339.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
339.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
339.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
337.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
336.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
335.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
335.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
334.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
334.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
334.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
333.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
332.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
332.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
331.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
330.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
330.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
329.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
328.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
328.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
327.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
326.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
325.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
325.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
324.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
324.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
318.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
318.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
317.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
317.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
317.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
315.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
315.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
315.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
315.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
314.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
313.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
312.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
312.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
312.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
312.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
311.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
311.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
311.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
310.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
310.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
309.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
307.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
305.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
304.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
303.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
302.7
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
301.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
300.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
298.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
297.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
296.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
296.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
295.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
294.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
294.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
292.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
291.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
290.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
288.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
287.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
287.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
286.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
285.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
283.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
283.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
283.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
282.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
279.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
278.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
277.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
277.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
275.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
273.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
273.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
272.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
271.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
269.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
268.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
267.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
267.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
266.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
265.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
262.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
262.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
261.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
259.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
255.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
254.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
252.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
251.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
250.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
249.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
248.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
248.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
245.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
240.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
239.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
238.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
237.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
237.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
235.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
235.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
228.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
227.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
224.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
224.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
221.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
221.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
220.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
218.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
212.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
210.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
200.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
199.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
198.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
197.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
197.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
197.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
196.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
193.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
193.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
191.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
189.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
179.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
171.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
159.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
156.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
137.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
132.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
83.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
26.3
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.
H1-2 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
29.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
126.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
112.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
95.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
73.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
63.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
58.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
56.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
53.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
50.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
47.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
45.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
45.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
44.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
43.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
43.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
41.3
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
40.0
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
39.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
39.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
38.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
38.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
37.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
35.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
34.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
34.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
33.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
33.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
32.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
31.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
31.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
31.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
31.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
30.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
30.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
28.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
28.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
27.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
27.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
26.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
25.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
24.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
23.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
23.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
22.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
22.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
22.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
21.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
21.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
21.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
21.0
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
20.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
20.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
20.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
20.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
20.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
19.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
18.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
17.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
16.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
16.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
16.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
16.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
16.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
15.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
14.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
14.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
14.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
14.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
14.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
13.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
13.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
13.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
13.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
13.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
12.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
12.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
12.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
11.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
11.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
11.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
11.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
11.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
11.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
10.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
10.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
9.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
7.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 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.
H1-2 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
372.0
Number of samples
207
Samples
Sample
Description
TPM
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
993.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
886.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
778.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
754.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
733.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
704.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
698.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
693.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
669.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
657.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
642.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
642.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
636.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
629.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
627.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
617.4
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
612.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
596.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
591.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
587.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
585.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
571.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
565.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
559.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
550.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
547.6
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
542.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
542.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
537.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
530.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
529.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
526.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
523.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
509.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
507.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
505.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
504.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
501.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
498.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
497.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
497.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
495.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
495.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
495.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
492.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
489.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
489.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
485.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
484.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
483.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
481.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
476.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
473.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
471.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
470.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
470.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
469.0
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
468.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
467.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
461.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
458.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
449.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
448.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
437.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
436.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
435.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
423.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
417.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
416.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
415.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
414.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
413.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
411.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
407.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
406.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
406.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
405.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
394.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
393.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
392.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
391.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
390.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
390.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
388.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
384.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
382.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
381.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
378.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
378.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
378.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
375.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
374.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
373.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
369.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
368.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
367.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
367.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
364.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
362.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
360.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
360.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
358.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
357.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
357.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
357.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
357.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
355.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
354.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
352.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
347.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
347.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
345.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
344.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
344.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
344.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
338.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
337.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
332.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
332.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
331.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
331.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
330.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
328.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
322.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
315.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
314.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
313.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
312.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
310.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
309.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
308.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
307.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
306.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
305.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
300.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
300.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
300.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
294.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
291.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
287.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
282.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
281.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
280.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
278.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
277.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
274.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
273.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
272.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
272.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
270.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
268.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
264.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
260.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
259.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
254.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
250.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
247.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
243.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
243.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
243.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
238.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
236.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
234.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
233.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
230.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
228.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
227.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
226.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
225.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
225.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
224.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
224.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
220.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
214.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
211.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
209.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
208.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
208.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
204.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
195.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
193.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
193.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
191.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
183.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
183.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
182.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
179.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
178.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
178.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
173.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
171.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
169.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
165.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
164.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
160.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
160.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
159.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
157.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
157.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
154.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
153.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
151.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
140.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
108.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
102.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
89.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
33.1
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
