We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
DDX60L 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
3.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
21.5
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
19.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
18.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
13.5
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
11.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
11.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
10.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
9.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
9.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
9.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
8.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
8.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
8.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
8.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
8.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
8.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
8.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
7.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
7.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
7.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
7.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
7.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
7.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
6.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
6.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
6.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
6.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
6.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
6.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
6.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
6.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
6.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
6.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
5.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
5.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
5.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
5.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
5.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
5.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
5.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
5.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
5.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
5.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
5.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
5.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
5.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
4.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
4.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
4.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
4.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
4.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
4.6
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
4.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
4.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
4.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
4.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
4.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
4.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
4.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
4.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
4.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
4.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
4.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
4.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
4.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
4.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
4.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
4.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
4.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
4.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
3.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
3.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
3.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
3.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
3.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
3.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
3.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
3.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
3.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
3.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
3.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
3.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
3.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
3.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
3.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
3.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
3.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
3.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
3.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
3.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
3.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
3.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
3.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
3.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
3.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
3.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
3.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
3.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
3.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
3.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
3.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
3.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
3.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
3.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
3.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
3.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
3.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
3.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
3.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
3.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
3.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
3.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
3.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
2.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
2.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
2.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
2.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
2.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
2.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
2.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
2.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
2.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
2.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
2.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
2.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
2.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
2.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
2.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
2.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
2.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
2.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
2.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
2.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
2.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
2.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
2.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
2.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
2.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
2.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
2.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
2.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
2.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
2.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
2.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
2.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
2.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
2.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
2.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
2.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
2.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
2.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
2.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
2.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
2.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
2.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
2.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
2.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
2.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
2.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
2.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
2.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
2.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
2.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
2.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
2.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
2.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
2.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
1.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
1.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
1.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
1.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
1.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
1.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
1.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
1.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
1.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
1.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
1.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
1.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
1.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
1.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
1.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
1.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
1.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
1.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
1.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
1.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
1.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
1.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
1.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
1.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
1.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
1.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
1.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
1.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
1.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
1.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
1.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
1.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
1.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
1.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
1.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
1.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
1.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
1.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
1.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
1.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
1.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
1.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
1.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
1.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
1.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
1.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
1.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
1.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
1.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
1.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
1.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
1.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
1.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
1.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
1.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
1.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
1.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
1.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
0.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
0.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
0.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
0.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
0.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
0.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
0.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
0.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
0.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
0.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
0.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
0.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
0.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
0.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
0.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
0.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
0.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
0.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
0.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
0.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
0.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
0.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
0.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
0.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
0.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
0.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
0.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
0.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 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.
DDX60L 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
23.9
Number of samples
486
Samples
Sample
Description
TPM
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
160.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
119.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
81.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
76.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
74.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
73.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
70.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
70.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
67.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
67.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
66.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
61.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
58.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
58.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
57.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
53.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
52.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
52.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
51.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
51.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
50.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
50.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
49.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
48.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
48.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
48.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
47.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
47.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
46.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
46.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
46.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
46.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
46.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
45.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
45.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
44.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
43.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
43.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
43.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
43.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
43.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
42.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
42.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
41.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
41.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
41.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
41.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
41.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
40.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
40.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
40.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
40.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
40.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
40.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
39.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
39.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
39.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
39.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
39.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
39.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
38.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
38.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
38.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
37.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
37.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
37.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
37.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
36.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
36.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
36.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
35.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
35.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
35.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
34.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
34.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
34.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
34.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
34.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
33.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
33.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
33.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
32.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
32.9
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
32.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
32.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
32.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
32.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
32.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
31.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
31.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
31.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
31.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
31.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
31.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
31.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
31.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
31.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
31.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
31.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
31.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
31.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
31.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
31.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
30.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
30.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
30.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
30.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
30.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
30.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
30.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
29.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
29.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
29.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
29.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
29.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
29.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
28.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
28.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
28.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
28.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
28.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
28.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
28.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
27.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
27.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
27.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
27.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
27.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
27.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
26.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
26.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
26.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
26.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
26.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
26.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
26.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
26.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
25.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
25.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
25.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
25.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
25.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
25.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
25.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
25.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
25.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
25.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
25.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
25.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
25.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
25.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
25.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
25.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
25.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
25.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
25.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
25.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
24.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
24.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
24.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
24.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
24.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
24.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
24.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
24.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
24.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
24.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
24.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
24.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
24.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
24.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
24.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
24.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
24.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
24.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
24.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
24.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
23.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
23.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
23.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
23.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
23.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
23.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
23.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
23.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
22.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
22.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
22.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
22.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
22.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
22.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
22.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
22.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
22.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
22.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
22.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
22.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
22.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
22.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
22.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
22.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
21.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
21.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
21.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
21.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
21.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
21.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
21.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
21.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
21.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
21.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
21.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
21.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
21.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
21.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
21.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
21.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
21.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
21.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
21.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
21.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
21.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
21.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
21.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
21.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
21.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
21.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
21.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
21.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
21.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
21.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
21.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
21.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
21.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
20.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
20.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
20.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
20.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
20.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
20.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
20.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
20.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
20.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
20.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
20.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
20.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
20.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
20.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
20.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
20.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
20.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
20.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
20.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
20.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
19.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
19.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
19.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
19.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
19.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
19.7
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
19.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
19.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
19.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
19.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
19.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
19.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
19.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
19.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
19.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
19.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
19.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
19.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
19.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
19.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
18.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
18.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
18.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
18.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
18.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
18.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
18.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
18.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
18.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
18.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
18.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
18.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
18.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
18.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
18.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
18.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
18.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
18.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
18.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
18.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
18.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
18.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
18.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
18.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
18.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
17.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
17.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
17.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
17.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
17.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
17.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
17.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
17.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
17.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
17.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
17.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
17.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
17.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
17.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
17.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
17.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
17.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
17.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
17.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
17.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
17.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
17.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
17.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
17.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
17.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
17.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
16.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
16.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
16.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
16.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
16.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
16.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
16.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
16.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
16.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
16.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
16.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
16.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
16.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
16.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
16.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
16.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
16.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
16.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
16.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
16.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
16.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
16.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
16.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
16.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
16.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
16.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
16.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
16.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
16.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
15.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
15.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
15.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
15.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
15.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
15.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
15.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
15.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
15.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
15.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
15.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
15.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
15.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
15.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
15.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
15.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
15.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
15.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
15.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
15.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
15.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
15.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
14.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
14.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
14.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
14.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
14.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
14.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
14.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
14.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
14.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
14.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
14.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
14.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
14.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
14.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
14.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
14.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
14.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
14.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
14.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
14.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
14.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
14.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
13.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
13.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
13.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
13.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
13.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
13.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
13.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
13.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
13.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
13.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
13.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
13.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
13.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
13.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
13.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
13.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
13.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
13.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
13.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
13.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
13.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
13.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
13.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
12.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
12.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
12.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
12.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
12.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
12.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
12.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
12.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
12.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
12.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
12.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
11.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
11.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
11.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
11.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
11.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
11.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
11.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
11.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
11.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
11.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
11.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
11.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
11.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
10.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
10.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
10.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
10.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
10.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
10.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
10.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
10.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
10.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
10.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
10.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
10.4
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
10.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
10.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
10.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
10.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
9.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
9.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
9.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
9.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
9.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
9.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
9.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
9.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
9.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
8.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
8.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
8.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
7.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
7.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
7.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
7.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
7.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
7.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
7.2
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
6.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
6.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
6.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
5.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.5
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
DDX60L 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
3.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
12.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
12.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
8.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
7.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
7.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
7.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
5.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
5.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
5.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
5.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
5.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
5.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
5.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
5.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
4.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
4.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
4.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
4.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
4.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
4.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
4.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
3.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
3.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
3.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
3.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
3.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
3.3
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
3.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
3.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
3.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
3.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
3.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
3.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
3.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
3.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
2.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
2.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
2.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
2.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
2.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
2.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
2.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
2.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
2.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
2.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
2.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
2.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
2.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
2.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
2.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
2.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
2.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
2.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
2.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
2.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
2.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
1.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
1.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
1.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
1.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
1.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
1.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
1.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
1.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
1.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
1.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
1.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
1.4
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
1.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
1.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
1.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
1.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
1.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
1.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
1.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
1.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
1.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
1.1
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
1.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
1.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
1.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
0.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
0.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
0.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
0.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
0.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
0.2
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.
DDX60L 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
20.5
Number of samples
207
Samples
Sample
Description
TPM
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
82.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
75.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
54.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
54.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
52.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
47.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
45.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
45.7
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
45.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
44.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
41.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
41.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
36.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
36.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
36.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
35.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
34.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
34.7
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
33.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
33.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
33.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
32.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
32.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
32.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
32.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
31.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
31.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
30.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
30.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
30.3
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
29.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
28.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
28.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
28.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
28.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
28.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
27.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
27.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
26.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
26.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
26.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
26.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
26.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
26.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
25.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
25.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
25.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
25.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
24.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
24.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
24.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
23.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
23.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
23.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
23.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
23.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
23.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
23.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
23.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
23.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
22.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
22.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
22.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
22.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
22.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
22.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
22.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
22.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
22.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
22.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
22.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
21.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
21.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
21.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
21.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
21.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
21.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
21.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
21.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
21.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
20.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
20.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
20.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
20.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
20.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
19.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
19.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
19.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
19.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
19.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
19.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
19.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
19.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
19.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
19.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
18.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
18.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
18.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
18.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
18.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
18.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
18.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
18.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
18.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
17.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
17.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
17.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
17.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
17.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
17.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
17.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
17.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
17.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
16.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
16.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
16.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
16.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
16.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
16.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
16.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
16.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
16.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
16.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
16.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
16.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
16.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
16.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
15.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
15.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
15.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
15.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
15.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
15.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
15.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
15.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
15.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
15.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
15.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
15.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
15.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
15.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
15.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
14.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
14.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
14.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
14.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
14.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
14.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
14.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
14.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
14.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
14.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
13.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
13.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
13.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
13.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
13.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
13.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
13.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
13.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
12.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
12.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
12.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
12.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
12.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
12.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
12.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
12.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
12.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
11.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
11.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
11.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
11.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
11.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
11.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
11.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
11.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
11.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
11.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
11.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
10.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
10.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
10.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
10.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
10.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
10.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
10.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
9.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
9.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
9.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
9.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
9.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
9.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
9.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
9.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
9.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
8.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
8.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
8.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
8.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
7.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
7.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
6.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
6.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
6.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
6.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
5.1
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
0f238226-864c-4de0-8c61-01e729_D2
Tumor
1.5
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
1.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
1.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
1.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
1.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.9
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.9
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.9
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.8
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.7
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.7
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.7
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.7
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.7
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.6
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.6
43192517-085e-450e-9481-0a6713_D3
Tumor
0.6
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.5
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.5
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.5
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.5
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.5
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.4
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.4
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.4
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.3
b2400046-1d25-429d-a821-6040a6
Tumor
-0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.4
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.4
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.5
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.5
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.5
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.5
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.5
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.5
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.6
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.6
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.7
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.7
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.7
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.7
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.7
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.8
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.8
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.8
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.8
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.9
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.9
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-1.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-1.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-1.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-1.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-1.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-1.6
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-2.9
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
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
