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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.
KIAA1671 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
14.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
31.7
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
31.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
30.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
26.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
26.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
25.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
25.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
24.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
24.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
24.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
23.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
23.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
23.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
23.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
22.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
22.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
22.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
22.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
22.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
22.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
22.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
21.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
21.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
21.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
21.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
21.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
21.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
21.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
20.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
20.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
20.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
20.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
20.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
20.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
20.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
20.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
20.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
19.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
19.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
19.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
19.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
19.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
19.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
19.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
19.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
19.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
19.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
19.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
19.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
19.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
18.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
18.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
18.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
18.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
18.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
18.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
18.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
18.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
18.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
17.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
17.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
17.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
17.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
17.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
17.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
17.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
17.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
17.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
17.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
17.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
17.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
17.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
17.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
17.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
17.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
17.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
17.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
17.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
17.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
17.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
16.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
16.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
16.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
16.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
16.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
16.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
16.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
16.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
16.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
16.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
16.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
16.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
15.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
15.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
15.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
15.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
15.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
15.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
15.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
15.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
15.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
15.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
15.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
15.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
15.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
15.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
15.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
15.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
15.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
14.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
14.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
14.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
14.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
14.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
14.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
14.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
14.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
14.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
14.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
14.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
14.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
14.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
14.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
14.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
14.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
13.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
13.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
13.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
13.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
13.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
13.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
13.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
13.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
13.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
13.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
13.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
13.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
13.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
13.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
13.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
13.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
13.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
13.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
13.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
12.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
12.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
12.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
12.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
12.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
12.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
12.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
12.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
12.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
12.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
12.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
12.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
12.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
12.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
12.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
12.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
12.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
12.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
12.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
12.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
11.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
11.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
11.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
11.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
11.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
11.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
11.6
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
11.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
11.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
11.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
11.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
11.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
11.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
11.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
10.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
10.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
10.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
10.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
10.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
10.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
10.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
10.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
10.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
10.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
10.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
10.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
10.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
10.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
10.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
10.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
10.1
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
10.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
10.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
10.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
9.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
9.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
9.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
9.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
9.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
9.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
9.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
9.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
9.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
9.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
9.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
9.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
9.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
9.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
8.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
8.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
8.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
8.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
8.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
8.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
8.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
8.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
8.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
8.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
8.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
8.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
7.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
7.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
7.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
7.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
7.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
7.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
7.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
7.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
7.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
7.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
6.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
6.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
6.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
6.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
6.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
6.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
6.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
6.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
6.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
6.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
6.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
6.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
5.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
5.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
5.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
5.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
3.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
3.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 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.
KIAA1671 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
38.9
Number of samples
486
Samples
Sample
Description
TPM
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
83.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
74.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
73.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
73.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
71.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
70.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
69.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
69.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
67.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
67.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
66.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
66.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
65.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
64.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
64.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
63.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
63.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
63.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
61.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
60.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
60.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
59.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
59.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
59.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
58.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
58.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
58.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
57.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
57.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
56.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
56.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
56.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
56.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
56.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
55.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
55.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
55.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
55.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
55.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
55.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
54.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
54.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
54.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
54.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
54.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
54.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
54.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
54.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
54.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
54.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
54.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
54.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
53.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
53.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
53.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
53.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
53.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
53.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
53.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
53.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
52.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
52.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
52.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
52.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
52.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
51.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
51.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
51.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
51.5
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
51.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
51.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
51.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
51.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
51.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
50.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
50.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
50.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
50.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
50.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
50.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
50.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
50.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
49.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
49.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
49.7
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
49.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
49.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
49.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
49.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
48.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
48.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
48.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
48.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
48.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
48.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
48.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
48.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
47.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
47.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
47.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
47.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
47.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
47.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
47.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
47.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
47.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
47.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
47.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
47.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
46.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
46.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
46.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
46.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
46.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
46.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
46.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
46.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
46.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
46.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
46.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
46.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
45.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
45.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
45.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
45.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
45.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
45.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
45.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
45.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
45.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
44.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
44.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
44.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
44.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
44.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
44.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
44.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
44.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
44.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
44.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
44.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
44.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
44.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
43.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
43.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
43.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
43.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
43.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
43.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
43.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
43.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
43.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
43.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
43.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
43.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
43.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
42.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
42.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
42.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
42.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
42.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
42.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
42.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
42.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
42.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
42.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
42.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
42.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
42.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
42.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
42.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
42.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
42.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
41.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
41.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
41.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
41.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
41.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
41.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
41.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
41.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
41.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
41.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
40.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
40.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
40.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
40.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
40.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
40.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
40.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
40.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
40.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
40.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
40.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
40.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
40.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
40.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
40.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
40.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
40.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
40.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
40.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
40.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
39.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
39.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
39.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
39.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
39.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
39.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
39.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
39.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
39.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
39.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
39.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
39.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
39.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
39.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
39.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
38.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
38.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
38.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
38.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
38.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
38.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
38.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
38.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
38.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
38.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
38.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
38.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
38.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
38.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
38.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
38.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
38.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
38.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
38.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
37.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
37.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
37.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
37.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
37.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
37.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
37.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
37.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
37.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
37.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
37.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
37.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
37.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
37.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
37.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
37.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
37.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
37.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
37.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
37.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
37.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
37.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
37.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
36.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
36.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
36.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
36.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
36.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
36.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
36.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
36.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
36.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
36.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
36.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
36.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
36.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
36.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
36.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
36.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
36.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
36.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
36.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
35.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
35.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
35.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
35.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
35.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
35.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
35.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
35.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
35.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
35.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
35.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
35.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
35.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
35.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
35.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
35.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
35.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
35.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
35.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
35.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
35.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
35.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
35.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
34.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
34.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
34.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
34.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
34.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
34.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
34.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
34.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
34.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
34.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
34.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
34.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
34.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
34.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
34.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
34.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
34.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
34.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
34.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
33.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
33.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
33.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
33.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
33.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
33.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
33.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
33.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
33.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
33.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
33.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
33.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
33.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
33.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
33.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
33.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
33.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
32.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
32.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
32.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
32.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
32.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
32.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
31.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
31.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
31.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
31.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
31.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
31.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
31.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
31.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
31.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
31.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
31.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
31.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
31.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
31.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
31.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
31.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
31.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
31.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
30.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
30.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
30.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
30.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
30.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
30.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
30.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
30.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
30.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
30.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
30.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
30.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
30.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
30.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
30.1
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
29.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
29.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
29.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
29.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
29.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
29.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
29.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
29.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
29.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
29.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
29.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
29.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
29.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
29.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
28.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
28.9
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
28.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
28.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
28.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
28.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
28.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
28.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
28.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
28.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
28.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
28.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
28.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
28.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
28.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
28.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
28.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
28.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
28.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
28.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
27.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
27.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
27.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
27.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
27.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
27.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
27.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
27.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
27.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
27.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
27.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
27.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
26.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
26.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
26.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
26.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
26.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
26.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
26.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
26.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
26.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
25.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
25.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
25.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
25.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
25.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
25.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
25.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
25.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
25.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
25.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
25.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
24.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
24.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
24.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
24.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
24.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
24.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
24.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
24.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
24.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
24.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
23.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
23.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
23.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
23.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
23.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
22.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
22.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
22.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
22.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
22.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
22.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
22.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
21.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
21.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
21.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
21.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
21.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
20.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
20.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
20.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
20.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
19.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
19.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
19.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
18.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
18.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
17.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
15.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
14.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
14.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
13.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.4
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.
KIAA1671 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
14.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
31.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
27.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
26.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
24.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
23.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
23.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
23.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
22.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
22.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
22.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
22.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
21.4
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
20.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
20.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
19.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
18.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
18.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
18.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
17.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
17.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
17.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
17.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
17.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
17.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
17.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
16.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
16.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
16.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
16.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
16.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
16.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
16.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
15.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
15.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
15.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
15.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
15.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
14.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
14.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
14.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
14.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
14.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
14.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
13.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
13.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
13.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
13.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
13.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
13.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
13.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
13.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
12.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
12.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
12.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
12.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
11.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
11.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
11.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
11.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
11.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
11.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
11.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
11.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
10.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
10.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
10.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
10.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
10.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
9.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
9.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
9.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
9.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
9.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
9.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
8.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
8.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
8.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
8.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
7.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
7.0
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
6.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
6.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
6.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
5.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
4.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
4.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
3.9
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
KIAA1671 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
35.3
Number of samples
207
Samples
Sample
Description
TPM
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
77.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
71.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
62.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
60.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
60.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
59.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
59.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
58.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
57.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
57.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
54.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
54.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
54.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
53.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
52.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
51.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
50.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
49.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
49.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
49.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
49.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
47.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
47.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
47.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
47.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
47.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
45.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
45.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
45.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
45.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
45.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
44.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
44.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
44.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
44.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
44.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
44.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
43.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
43.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
43.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
43.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
43.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
43.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
43.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
42.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
42.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
42.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
42.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
42.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
42.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
42.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
41.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
41.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
41.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
41.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
41.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
40.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
40.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
40.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
40.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
40.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
40.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
39.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
39.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
38.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
38.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
38.6
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
38.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
38.5
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
38.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
38.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
38.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
38.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
37.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
37.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
37.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
37.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
37.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
37.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
37.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
37.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
37.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
37.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
36.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
36.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
36.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
36.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
36.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
36.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
36.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
36.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
35.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
35.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
35.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
35.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
35.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
35.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
34.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
34.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
34.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
34.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
34.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
34.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
34.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
34.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
34.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
33.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
33.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
33.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
33.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
33.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
33.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
33.3
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
33.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
33.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
33.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
33.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
33.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
33.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
32.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
32.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
32.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
32.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
32.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
32.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
32.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
31.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
31.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
31.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
31.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
31.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
31.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
31.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
31.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
30.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
30.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
30.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
30.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
30.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
30.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
30.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
29.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
29.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
29.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
29.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
29.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
29.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
29.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
28.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
28.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
28.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
28.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
28.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
28.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
28.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
28.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
28.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
28.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
28.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
27.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
27.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
27.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
27.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
27.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
27.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
26.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
26.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
26.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
26.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
26.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
26.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
25.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
25.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
25.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
25.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
25.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
25.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
24.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
23.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
23.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
23.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
23.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
22.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
22.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
22.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
22.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
21.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
21.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
21.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
21.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
20.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
20.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
19.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
19.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
19.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
18.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
18.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
18.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
18.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
17.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
17.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
16.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
16.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
16.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
16.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
16.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
13.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.8
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.8
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.7
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.6
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.5
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.5
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.5
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.5
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.5
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.4
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.4
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.4
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.4
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.4
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.5
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.5
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.5
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.5
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.5
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.5
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.5
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.6
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.6
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.6
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.7
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.7
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.8
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.8
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-1.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_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
