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.
SAMD9 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
4.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
75.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
29.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
23.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
19.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
18.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
17.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
16.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
16.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
15.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
15.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
13.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
12.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
11.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
11.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
11.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
10.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
10.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
9.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
9.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
9.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
9.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
9.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
9.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
8.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
8.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
8.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
8.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
8.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
8.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
7.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
7.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
7.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
7.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
7.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
7.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
7.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
7.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
6.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
6.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
6.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
6.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
6.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
6.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
6.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
6.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
6.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
6.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
6.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
6.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
6.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
6.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
6.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
5.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
5.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
5.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
5.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
5.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
5.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
5.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
5.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
5.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
5.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
5.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
5.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
4.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
4.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
4.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
4.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
4.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
4.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
4.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
4.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
4.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
4.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
4.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
4.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
4.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
4.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
4.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
4.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
4.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
4.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
3.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
3.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
3.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
3.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
3.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
3.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
3.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
3.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
3.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
3.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
3.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
3.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
3.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
3.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
3.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
3.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
3.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
3.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
3.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
3.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
3.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
3.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
3.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
3.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
3.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
3.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
3.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
3.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
3.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
3.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
3.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
3.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
3.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
3.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
3.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
3.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
3.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
3.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
3.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
3.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
3.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
3.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
3.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
2.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
2.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
2.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
2.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
2.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
2.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
2.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
2.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
2.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
2.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
2.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
2.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
2.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
2.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
2.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
2.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
2.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
2.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
2.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
2.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
2.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
2.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
2.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
2.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
2.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
2.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
2.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
2.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
2.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
2.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
2.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
2.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
2.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
2.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
2.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
2.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
2.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
2.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
2.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
2.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
2.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
2.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
2.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
2.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
2.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
2.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
2.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
2.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
2.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
2.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
1.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
1.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
1.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
1.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
1.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
1.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
1.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
1.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
1.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
1.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
1.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
1.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
1.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
1.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
1.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
1.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
1.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
1.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
1.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
1.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
1.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
1.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
1.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
1.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
1.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
1.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
1.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
1.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
1.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
1.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
1.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
1.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
1.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
1.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
1.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
1.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
1.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
1.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
1.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
1.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
1.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
1.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
1.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
1.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
1.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
1.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
1.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
1.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
1.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
1.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
1.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
1.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
1.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
1.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
1.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
1.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
0.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
0.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
0.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
0.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
0.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
0.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
0.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
0.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
0.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
0.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
0.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
0.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
0.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
0.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
0.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
0.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
0.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
0.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
0.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
0.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
0.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
0.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 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.
SAMD9 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
17.3
Number of samples
486
Samples
Sample
Description
TPM
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
81.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
80.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
80.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
74.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
71.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
67.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
66.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
57.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
55.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
54.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
54.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
53.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
53.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
51.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
50.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
48.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
47.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
47.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
47.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
46.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
45.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
45.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
44.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
43.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
43.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
42.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
42.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
42.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
41.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
41.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
41.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
40.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
40.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
40.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
40.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
39.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
38.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
37.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
37.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
36.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
36.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
35.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
35.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
34.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
34.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
34.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
33.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
33.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
33.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
33.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
32.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
31.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
31.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
31.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
31.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
31.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
31.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
30.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
29.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
29.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
29.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
29.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
28.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
28.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
28.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
28.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
27.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
27.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
27.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
26.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
26.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
26.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
26.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
26.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
26.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
25.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
25.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
25.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
25.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
24.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
24.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
24.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
24.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
24.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
24.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
24.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
24.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
24.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
23.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
23.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
23.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
23.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
23.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
23.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
22.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
22.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
22.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
22.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
22.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
22.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
22.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
21.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
21.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
21.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
21.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
21.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
21.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
21.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
21.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
21.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
21.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
21.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
20.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
20.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
20.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
20.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
20.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
20.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
20.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
20.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
20.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
20.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
20.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
20.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
20.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
20.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
20.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
20.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
20.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
20.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
19.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
19.9
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
19.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
19.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
19.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
19.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
19.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
19.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
19.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
19.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
19.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
19.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
19.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
19.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
18.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
18.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
18.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
18.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
18.7
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
18.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
18.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
18.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
18.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
18.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
18.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
18.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
18.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
18.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
17.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
17.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
17.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
17.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
17.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
17.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
17.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
17.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
17.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
17.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
17.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
17.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
17.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
17.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
17.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
17.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
17.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
17.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
17.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
17.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
16.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
16.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
16.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
16.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
16.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
16.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
16.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
16.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
16.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
16.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
16.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
16.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
16.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
16.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
16.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
16.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
16.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
16.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
15.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
15.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
15.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
15.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
15.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
15.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
15.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
15.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
15.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
15.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
15.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
15.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
15.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
15.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
15.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
15.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
15.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
15.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
15.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
15.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
15.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
15.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
14.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
14.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
14.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
14.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
14.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
14.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
14.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
14.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
14.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
14.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
14.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
14.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
14.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
14.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
14.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
14.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
14.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
14.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
13.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
13.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
13.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
13.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
13.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
13.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
13.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
13.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
13.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
13.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
13.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
13.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
13.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
13.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
13.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
13.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
13.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
13.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
13.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
13.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
13.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
13.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
13.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
13.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
12.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
12.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
12.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
12.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
12.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
12.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
12.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
12.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
12.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
12.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
12.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
12.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
12.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
12.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
12.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
12.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
12.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
12.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
12.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
12.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
12.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
12.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
12.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
12.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
12.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
12.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
11.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
11.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
11.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
11.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
11.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
11.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
11.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
11.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
11.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
11.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
11.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
11.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
11.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
11.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
11.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
11.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
11.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
11.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
11.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
11.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
11.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
11.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
10.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
10.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
10.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
10.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
10.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
10.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
10.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
10.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
10.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
10.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
10.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
10.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
10.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
10.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
10.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
10.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
10.6
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
10.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
10.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
10.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
10.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
10.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
10.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
10.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
10.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
10.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
10.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
10.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
10.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
10.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
10.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
10.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
10.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
10.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
10.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
10.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
10.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
10.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
10.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
9.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
9.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
9.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
9.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
9.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
9.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
9.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
9.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
9.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
9.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
9.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
9.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
9.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
9.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
9.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
9.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
9.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
9.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
9.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
9.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
9.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
9.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
9.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
9.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
9.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
9.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
9.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
9.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
9.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
9.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
9.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
9.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
9.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
9.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
9.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
9.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
8.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
8.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
8.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
8.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
8.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
8.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
8.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
8.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
8.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
8.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
8.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
8.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
8.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
8.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
8.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
8.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
8.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
8.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
8.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
8.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
8.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
8.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
8.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
8.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
8.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
8.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
8.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
8.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
8.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
8.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
8.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
8.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
8.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
7.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
7.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
7.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
7.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
7.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
7.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
7.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
7.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
7.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
7.6
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
7.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
7.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
7.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
7.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
7.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
7.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
7.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
7.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
7.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
7.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
7.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
7.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
7.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
7.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
6.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
6.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
6.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
6.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
6.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
6.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
6.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
6.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
6.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
6.5
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
6.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
6.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
6.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
6.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
6.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
6.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
6.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
6.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
6.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
6.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
5.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
5.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
5.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
5.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
5.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
5.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
5.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
5.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
5.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
5.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
5.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
4.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
4.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
4.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
4.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
4.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
4.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
4.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
4.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
3.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
3.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
3.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
3.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
2.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.2
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SAMD9 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
3.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
18.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
15.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
14.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
13.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
13.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
13.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
12.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
10.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
9.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
9.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
7.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
6.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
6.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
5.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
5.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
5.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
5.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
5.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
5.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
5.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
5.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
4.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
4.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
4.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
4.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
4.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
4.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
4.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
3.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
3.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
3.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
3.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
3.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
3.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
3.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
3.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
3.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
3.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
3.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
2.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
2.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
2.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
2.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
2.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
2.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
2.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
2.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
2.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
2.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
2.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
2.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
2.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
2.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
2.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
2.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
1.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
1.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
1.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
1.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
1.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
1.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
1.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
1.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
1.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
1.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
1.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
1.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
1.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
1.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
1.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
1.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
1.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
1.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
1.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
1.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
1.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
1.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
1.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
0.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
0.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
0.9
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-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
0.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
0.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
0.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
0.3
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.
SAMD9 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
13.8
Number of samples
207
Samples
Sample
Description
TPM
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
53.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
49.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
40.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
39.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
38.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
37.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
34.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
34.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
32.5
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
31.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
29.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
28.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
28.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
28.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
27.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
27.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
25.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
24.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
23.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
23.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
23.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
22.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
22.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
22.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
22.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
21.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
21.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
21.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
21.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
21.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
21.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
21.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
20.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
20.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
19.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
19.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
19.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
19.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
19.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
19.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
19.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
18.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
18.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
18.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
17.9
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
17.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
17.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
17.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
17.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
17.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
17.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
17.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
16.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
16.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
16.8
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
16.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
16.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
16.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
16.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
16.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
16.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
16.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
16.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
15.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
15.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
14.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
14.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
14.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
14.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
14.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
14.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
14.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
14.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
14.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
14.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
14.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
14.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
14.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
13.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
13.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
13.9
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
13.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
13.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
13.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
13.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
13.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
13.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
13.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
13.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
13.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
13.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
12.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
12.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
12.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
12.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
12.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
12.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
12.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
12.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
12.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
12.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
12.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
12.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
11.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
11.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
11.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
11.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
11.5
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
11.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
11.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
11.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
11.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
11.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
11.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
11.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
11.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
11.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
11.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
11.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
11.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
10.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
10.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
10.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
10.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
10.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
10.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
10.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
10.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
10.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
10.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
9.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
9.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
9.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
9.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
9.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
9.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
9.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
9.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
9.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
9.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
9.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
9.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
9.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
9.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
9.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
9.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
9.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
8.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
8.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
8.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
8.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
8.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
8.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
8.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
8.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
8.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
8.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
8.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
8.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
8.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
8.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
8.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
8.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
8.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
8.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
7.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
7.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
7.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
7.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
7.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
7.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
7.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
7.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
7.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
6.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
6.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
6.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
6.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
6.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
6.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
6.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
6.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
6.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
6.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
6.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
5.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
5.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
5.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
5.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
5.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
4.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
4.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
4.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
4.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
4.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
4.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
4.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
4.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
4.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
4.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
4.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
3.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
3.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
3.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
3.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
3.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
2.2
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.8
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.8
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.7
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.7
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.7
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.7
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.7
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.7
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.6
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.6
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.6
b2400046-1d25-429d-a821-6040a6
Tumor
0.5
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.5
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.5
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.5
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.5
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.5
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.4
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.4
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.4
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.0
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.0
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.0
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.5
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.5
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.5
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.6
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.7
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-1.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
