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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
XRN1 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
4.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
31.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
24.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
22.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
18.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
17.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
15.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
11.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
10.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
10.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
10.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
9.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
9.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
8.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
8.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
8.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
8.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
7.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
7.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
7.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
7.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
7.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
7.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
6.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
6.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
6.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
6.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
6.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
6.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
6.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
6.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
6.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
6.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
6.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
6.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
6.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
6.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
6.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
6.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
6.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
6.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
6.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
6.1
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
6.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
6.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
6.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
5.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
5.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
5.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
5.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
5.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
5.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
5.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
5.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
5.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
5.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
5.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
5.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
5.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
5.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
5.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
5.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
5.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
5.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
5.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
5.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
5.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
5.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
5.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
5.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
5.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
5.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
5.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
5.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
5.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
5.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
5.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
5.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
5.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
5.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
5.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
5.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
5.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
4.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
4.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
4.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
4.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
4.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
4.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
4.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
4.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
4.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
4.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
4.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
4.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
4.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
4.7
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
4.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
4.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
4.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
4.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
4.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
4.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
4.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
4.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
4.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
4.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
4.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
4.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
4.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
4.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
4.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
4.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
4.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
4.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
4.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
4.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
4.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
4.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
4.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
4.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
4.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
4.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
4.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
4.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
4.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
4.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
4.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
4.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
4.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
4.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
4.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
4.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
4.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
4.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
4.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
4.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
4.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
4.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
4.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
4.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
4.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
4.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
4.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
3.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
3.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
3.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
3.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
3.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
3.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
3.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
3.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
3.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
3.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
3.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
3.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
3.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
3.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
3.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
3.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
3.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
3.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
3.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
3.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
3.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
3.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
3.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
3.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
3.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
3.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
3.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
3.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
3.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
3.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
3.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
3.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
3.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
3.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
3.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
3.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
3.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
3.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
3.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
3.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
3.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
3.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
3.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
3.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
3.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
3.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
3.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
3.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
3.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
3.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
3.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
3.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
3.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
3.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
3.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
2.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
2.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
2.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
2.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
2.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
2.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
2.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
2.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
2.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
2.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
2.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
2.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
2.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
2.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
2.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
2.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
2.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
2.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
2.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
2.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
2.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
2.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
2.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
2.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
2.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
2.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
2.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
2.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
2.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
2.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
2.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
2.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
2.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
2.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
2.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
2.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
2.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
2.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
2.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
2.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
2.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
2.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
2.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
2.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
2.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
2.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
2.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
2.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
2.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
1.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
1.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
1.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
1.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
1.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
1.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 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.
XRN1 is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
23.2
Number of samples
486
Samples
Sample
Description
TPM
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
63.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
57.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
55.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
54.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
52.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
46.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
46.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
45.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
45.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
45.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
44.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
44.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
42.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
41.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
41.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
41.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
39.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
39.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
39.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
38.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
38.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
38.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
38.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
37.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
37.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
37.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
36.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
36.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
36.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
36.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
36.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
35.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
35.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
35.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
35.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
35.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
35.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
35.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
35.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
34.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
34.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
34.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
33.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
33.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
33.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
33.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
33.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
33.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
33.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
33.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
33.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
32.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
32.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
31.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
31.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
31.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
31.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
31.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
31.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
30.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
30.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
30.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
30.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
30.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
30.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
29.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
29.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
29.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
29.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
29.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
29.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
29.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
29.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
28.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
28.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
28.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
28.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
28.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
28.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
28.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
28.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
28.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
28.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
28.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
28.2
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
28.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
27.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
27.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
27.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
27.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
27.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
27.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
27.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
27.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
27.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
27.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
27.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
27.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
27.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
27.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
27.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
27.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
27.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
27.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
27.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
27.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
27.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
27.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
26.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
26.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
26.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
26.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
26.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
26.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
26.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
26.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
26.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
26.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
26.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
26.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
26.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
26.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
26.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
26.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
26.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
26.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
26.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
26.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
26.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
25.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
25.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
25.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
25.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
25.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
25.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
25.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
25.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
25.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
25.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
25.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
25.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
25.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
25.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
25.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
25.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
25.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
25.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
25.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
25.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
25.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
25.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
25.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
25.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
25.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
25.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
25.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
24.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
24.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
24.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
24.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
24.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
24.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
24.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
24.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
24.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
24.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
24.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
24.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
24.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
24.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
24.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
24.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
24.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
24.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
24.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
24.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
24.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
24.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
24.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
24.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
24.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
24.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
24.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
24.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
23.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
23.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
23.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
23.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
23.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
23.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
23.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
23.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
23.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
23.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
23.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
23.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
23.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
23.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
23.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
23.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
23.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
23.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
23.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
23.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
23.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
23.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
23.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
23.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
23.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
23.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
23.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
23.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
23.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
23.1
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
23.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
23.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
23.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
23.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
22.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
22.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
22.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
22.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
22.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
22.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
22.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
22.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
22.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
22.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
22.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
22.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
22.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
22.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
22.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
22.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
22.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
22.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
22.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
22.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
22.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
22.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
22.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
22.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
22.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
22.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
21.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
21.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
21.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
21.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
21.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
21.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
21.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
21.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
21.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
21.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
21.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
21.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
21.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
21.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
21.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
21.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
21.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
21.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
21.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
21.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
21.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
21.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
21.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
21.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
21.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
21.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
21.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
21.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
21.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
21.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
21.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
21.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
21.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
21.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
21.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
21.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
21.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
21.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
21.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
21.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
21.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
21.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
21.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
21.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
21.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
21.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
21.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
21.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
20.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
20.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
20.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
20.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
20.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
20.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
20.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
20.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
20.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
20.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
20.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
20.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
20.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
20.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
20.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
20.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
20.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
20.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
20.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
20.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
20.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
20.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
20.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
20.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
20.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
20.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
20.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
20.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
20.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
20.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
20.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
20.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
20.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
20.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
19.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
19.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
19.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
19.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
19.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
19.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
19.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
19.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
19.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
19.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
19.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
19.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
19.4
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
19.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
19.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
19.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
19.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
19.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
19.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
19.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
19.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
19.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
19.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
19.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
19.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
19.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
18.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
18.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
18.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
18.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
18.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
18.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
18.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
18.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
18.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
18.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
18.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
18.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
18.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
18.4
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
18.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
18.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
18.2
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
18.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
18.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
18.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
17.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
17.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
17.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
17.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
17.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
17.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
17.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
17.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
17.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
17.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
17.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
17.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
17.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
17.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
17.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
17.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
17.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
17.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
17.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
17.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
17.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
17.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
17.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
17.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
17.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
17.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
17.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
17.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
17.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
17.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
17.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
17.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
17.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
17.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
16.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
16.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
16.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
16.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
16.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
16.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
16.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
16.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
16.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
16.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
16.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
16.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
16.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
16.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
16.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
16.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
16.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
16.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
16.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
16.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
16.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
16.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
16.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
16.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
16.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
16.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
16.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
16.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
16.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
16.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
15.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
15.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
15.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
15.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
15.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
15.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
15.5
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
15.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
15.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
15.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
15.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
15.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
15.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
15.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
15.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
14.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
14.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
14.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
14.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
14.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
14.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
14.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
14.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
14.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
14.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
14.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
13.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
13.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
13.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
13.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
13.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
13.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
13.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
12.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
12.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
12.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
12.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
11.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
11.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
11.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
11.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
11.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
11.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
10.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
10.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
9.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
8.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
7.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.1
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.
XRN1 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
4.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
11.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
10.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
9.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
9.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
8.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
7.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
7.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
7.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
6.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
6.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
6.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
6.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
6.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
6.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
6.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
6.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
6.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
5.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
5.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
5.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
5.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
5.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
5.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
5.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
5.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
5.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
5.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
5.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
5.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
5.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
5.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
5.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
4.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
4.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
4.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
4.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
4.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
4.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
4.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
4.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
4.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
4.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
4.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
4.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
4.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
4.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
4.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
4.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
4.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
4.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
4.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
4.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
4.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
3.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
3.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
3.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
3.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
3.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
3.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
3.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
3.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
3.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
3.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
3.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
3.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
3.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
3.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
3.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
3.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
2.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
2.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
2.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
2.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
2.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
2.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
2.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
2.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
2.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
2.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
2.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
2.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
2.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
2.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
2.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
2.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
1.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
1.6
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.
XRN1 is potential prognostic, high expression is favorable 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
22.5
Number of samples
207
Samples
Sample
Description
TPM
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
43.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
40.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
40.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
39.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
36.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
36.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
36.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
35.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
34.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
32.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
31.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
31.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
31.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
30.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
30.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
30.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
30.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
30.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
29.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
29.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
29.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
29.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
29.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
29.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
28.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
28.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
28.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
28.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
28.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
28.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
27.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
27.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
27.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
27.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
27.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
27.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
27.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
27.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
27.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
26.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
26.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
26.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
26.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
26.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
26.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
26.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
26.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
26.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
25.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
25.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
25.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
25.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
25.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
25.7
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
25.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
25.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
25.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
25.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
25.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
25.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
25.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
25.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
25.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
25.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
25.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
25.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
25.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
25.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
25.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
24.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
24.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
24.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
24.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
24.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
24.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
24.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
24.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
24.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
24.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
24.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
23.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
23.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
23.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
23.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
23.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
23.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
23.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
23.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
23.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
23.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
23.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
22.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
22.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
22.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
22.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
22.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
22.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
22.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
22.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
22.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
22.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
22.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
22.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
22.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
22.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
22.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
22.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
22.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
22.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
22.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
22.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
22.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
21.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
21.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
21.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
21.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
21.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
21.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
21.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
21.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
21.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
21.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
20.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
20.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
20.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
20.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
20.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
20.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
20.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
20.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
20.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
20.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
20.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
20.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
20.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
20.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
19.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
19.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
19.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
19.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
19.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
19.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
19.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
19.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
19.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
19.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
19.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
18.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
18.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
18.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
18.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
18.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
18.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
18.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
18.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
18.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
17.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
17.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
17.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
17.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
17.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
17.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
17.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
17.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
17.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
17.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
17.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
17.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
17.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
17.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
17.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
17.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
17.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
17.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
16.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
16.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
16.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
16.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
16.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
16.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
16.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
16.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
16.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
15.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
15.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
15.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
15.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
15.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
15.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
15.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
15.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
15.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
14.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
14.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
14.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
14.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
14.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
14.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
14.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
14.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
13.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
13.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
13.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
12.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
12.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
9.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
9.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.5
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.4
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.2
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Tumor
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
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Normal
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.1
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Tumor
0.1
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Normal
0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
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Normal
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.1
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Normal
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.2
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Normal
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.2
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Normal
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.2
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Normal
-0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.2
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Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.2
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Tumor
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.5
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.5
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
