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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.
PLA2G4A 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
4.5
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
27.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
26.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
25.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
24.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
22.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
20.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
18.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
18.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
18.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
17.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
17.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
16.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
16.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
16.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
15.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
15.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
14.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
14.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
14.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
14.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
14.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
13.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
13.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
13.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
13.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
12.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
12.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
12.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
12.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
11.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
11.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
11.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
10.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
10.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
10.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
10.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
10.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
9.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
9.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
9.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
9.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
9.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
9.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
9.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
9.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
8.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
8.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
8.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
8.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
8.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
7.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
7.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
7.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
7.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
7.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
7.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
7.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
6.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
6.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
6.5
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
6.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
6.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
6.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
6.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
6.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
6.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
5.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
5.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
5.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
5.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
5.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
5.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
5.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
5.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
5.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
5.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
4.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
4.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
4.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
4.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
4.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
4.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
4.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
4.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
4.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
4.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
4.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
4.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
4.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
4.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
4.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
4.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
4.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
4.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
3.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
3.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
3.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
3.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
3.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
3.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
3.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
3.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
3.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
3.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
3.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
3.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
3.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
3.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
3.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
3.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
3.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
3.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
3.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
2.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
2.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
2.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
2.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
2.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
2.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
2.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
2.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
2.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
2.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
2.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
2.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
2.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
2.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
2.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
2.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
2.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
2.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
1.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
1.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
1.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
1.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
1.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
1.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
1.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
1.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
1.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
1.6
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
1.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
1.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
1.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
1.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
1.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
1.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
1.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
1.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
1.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
1.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
1.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
1.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
1.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
1.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
1.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
1.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
1.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
1.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
1.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
1.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
1.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
1.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
1.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
1.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
1.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
1.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
1.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
1.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
1.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
1.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
1.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
1.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
1.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
0.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
0.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
0.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
0.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
0.9
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
0.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
0.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
0.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
0.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
0.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
0.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
0.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
0.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
0.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
0.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
0.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
0.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
0.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
0.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
0.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
0.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
0.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
0.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
0.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
0.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
0.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
0.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
0.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
0.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
0.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
0.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
0.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
0.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
0.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
0.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
0.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
0.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
0.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
0.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
0.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
0.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
0.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
0.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
0.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
0.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
0.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
0.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
0.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
0.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
0.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
0.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
0.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
0.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
0.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
0.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
0.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
0.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
0.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
0.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
0.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
0.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
0.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
0.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
0.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
0.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
0.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
0.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
0.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
0.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
0.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
0.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
0.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
0.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
0.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
0.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
0.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
0.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
0.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
0.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 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.
PLA2G4A 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
7.5
Number of samples
486
Samples
Sample
Description
TPM
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
65.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
53.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
47.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
38.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
37.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
33.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
32.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
31.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
30.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
29.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
28.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
28.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
28.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
28.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
28.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
26.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
26.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
25.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
23.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
23.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
23.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
23.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
22.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
22.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
22.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
22.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
22.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
22.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
21.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
21.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
20.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
20.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
20.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
20.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
20.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
19.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
19.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
19.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
19.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
18.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
18.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
17.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
17.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
17.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
17.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
17.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
17.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
16.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
16.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
16.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
16.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
16.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
15.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
15.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
15.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
15.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
14.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
14.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
14.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
14.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
14.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
14.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
14.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
14.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
14.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
14.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
14.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
14.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
13.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
13.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
13.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
13.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
13.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
13.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
13.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
13.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
13.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
13.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
13.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
13.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
13.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
12.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
12.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
12.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
12.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
12.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
12.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
12.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
12.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
12.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
12.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
12.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
12.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
12.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
12.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
12.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
11.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
11.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
11.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
11.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
11.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
11.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
11.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
11.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
11.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
11.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
11.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
11.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
11.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
10.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
10.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
10.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
10.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
10.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
10.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
10.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
10.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
10.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
10.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
10.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
10.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
10.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
10.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
10.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
10.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
9.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
9.9
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
9.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
9.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
9.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
9.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
9.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
9.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
9.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
9.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
9.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
9.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
9.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
9.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
9.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
9.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
8.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
8.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
8.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
8.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
8.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
8.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
8.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
8.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
8.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
8.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
8.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
8.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
8.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
8.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
8.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
8.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
8.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
8.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
8.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
8.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
8.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
7.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
7.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
7.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
7.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
7.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
7.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
7.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
7.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
7.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
7.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
7.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
7.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
7.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
7.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
7.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
7.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
7.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
7.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
7.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
7.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
7.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
7.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
7.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
7.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
6.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
6.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
6.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
6.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
6.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
6.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
6.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
6.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
6.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
6.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
6.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
6.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
6.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
6.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
6.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
6.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
6.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
6.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
6.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
6.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
6.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
6.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
6.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
6.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
6.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
6.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
6.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
6.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
6.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
6.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
6.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
6.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
6.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
6.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
5.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
5.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
5.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
5.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
5.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
5.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
5.7
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
5.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
5.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
5.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
5.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
5.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
5.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
5.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
5.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
5.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
5.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
5.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
5.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
5.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
5.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
5.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
5.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
5.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
5.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
5.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
5.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
5.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
4.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
4.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
4.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
4.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
4.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
4.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
4.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
4.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
4.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
4.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
4.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
4.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
4.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
4.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
4.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
4.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
4.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
4.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
4.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
4.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
4.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
4.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
4.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
4.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
4.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
4.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
4.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
4.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
4.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
4.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
4.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
3.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
3.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
3.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
3.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
3.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
3.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
3.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
3.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
3.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
3.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
3.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
3.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
3.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
3.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
3.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
3.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
3.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
3.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
3.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
3.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
3.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
3.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
3.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
3.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
3.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
3.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
3.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
3.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
3.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
3.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
3.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
3.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
3.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
3.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
3.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
3.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
3.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
3.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
3.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
3.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
3.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
3.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
3.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
2.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
2.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
2.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
2.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
2.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
2.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
2.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
2.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
2.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
2.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
2.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
2.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
2.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
2.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
2.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
2.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
2.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
2.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
2.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
2.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
2.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
2.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
2.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
2.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
2.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
2.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
2.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
2.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
2.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
2.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
2.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
2.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
2.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
2.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
2.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
2.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
2.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
2.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
2.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
2.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
2.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
2.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
2.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
2.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
2.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
2.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
2.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
2.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
2.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
2.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
2.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
2.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
2.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
2.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
2.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
2.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
2.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
2.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
2.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
2.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
2.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
2.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
2.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
2.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
2.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
2.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
2.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
2.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
1.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
1.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
1.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
1.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
1.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
1.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
1.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
1.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
1.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
1.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
1.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
1.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
1.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
1.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
1.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
1.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
1.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
1.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
1.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
1.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
1.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
1.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
1.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
1.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
1.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
1.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
1.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
1.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
1.6
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
1.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
1.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
1.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
1.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
1.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
1.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
1.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
1.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
1.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
1.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
1.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
1.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
1.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
1.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
1.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
1.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
1.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
1.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
1.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
1.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
1.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
1.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
1.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
1.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
1.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
1.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
1.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
1.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
1.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
1.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
1.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
1.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
1.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
1.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
1.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
1.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
1.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
1.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
1.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
1.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
1.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
1.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
1.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
1.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
1.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
1.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
1.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
1.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
1.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
0.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
0.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
0.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
0.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
0.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
0.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
0.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
0.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
0.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
0.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
0.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
0.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
0.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
0.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
0.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
0.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.2
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PLA2G4A 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
4.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
49.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
26.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
23.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
19.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
15.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
15.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
12.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
11.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
10.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
10.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
9.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
9.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
9.0
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
8.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
8.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
7.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
7.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
6.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
6.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
5.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
5.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
4.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
3.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
3.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
3.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
3.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
3.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
3.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
3.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
2.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
2.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
2.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
2.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
2.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
2.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
2.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
2.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
2.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
2.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
2.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
1.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
1.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
1.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
1.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
1.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
1.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
1.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
1.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
1.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
1.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
1.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
1.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
1.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
1.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
1.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
1.1
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
1.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
1.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
1.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
1.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
0.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
0.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
0.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
0.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
0.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
0.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
0.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
0.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
0.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
0.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
0.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
0.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
0.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
0.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
0.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
0.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
0.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
0.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
0.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
0.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
0.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
0.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
0.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
0.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
0.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
0.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
0.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 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.
PLA2G4A is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
5.6
Number of samples
207
Samples
Sample
Description
TPM
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
39.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
36.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
33.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
25.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
20.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
19.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
19.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
17.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
15.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
15.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
15.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
14.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
14.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
13.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
13.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
12.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
11.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
11.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
11.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
11.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
11.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
11.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
10.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
10.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
10.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
10.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
9.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
9.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
9.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
9.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
9.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
9.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
8.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
8.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
8.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
8.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
8.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
8.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
8.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
8.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
8.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
8.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
8.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
8.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
8.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
8.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
7.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
7.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
7.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
7.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
7.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
7.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
7.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
6.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
6.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
6.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
6.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
6.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
6.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
6.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
6.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
6.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
6.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
6.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
6.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
6.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
6.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
6.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
6.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
5.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
5.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
5.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
5.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
5.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
5.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
5.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
5.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
5.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
5.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
5.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
5.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
5.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
5.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
5.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
4.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
4.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
4.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
4.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
4.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
4.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
4.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
4.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
4.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
4.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
4.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
4.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
4.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
4.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
4.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
4.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
4.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
4.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
4.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
4.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
3.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
3.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
3.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
3.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
3.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
3.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
3.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
3.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
3.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
3.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
3.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
3.5
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
3.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
3.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
3.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
3.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
3.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
3.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
3.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
3.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
3.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
3.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
3.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
3.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
3.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
3.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
3.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
3.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
2.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
2.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
2.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
2.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
2.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
2.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
2.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
2.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
2.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
2.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
2.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
2.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
2.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
2.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
2.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
2.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
2.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
2.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
2.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
2.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
2.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
2.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
2.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
2.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
2.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
2.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
2.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
2.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
2.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
2.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
2.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
2.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
2.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
2.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
2.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
2.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
2.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
1.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
1.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
1.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
1.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
1.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
1.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
1.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
1.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
1.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
1.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
1.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
1.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
1.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
1.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
1.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
1.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
1.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
1.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
1.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
1.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
1.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
1.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
1.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
1.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
1.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
1.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
1.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
1.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
1.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
0.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
0.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
0.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
0.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
0.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
0.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
0.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
0.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
0.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
1.6
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
1.6
b2400046-1d25-429d-a821-6040a6
Tumor
1.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
1.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
1.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
1.0
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
1.0
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
1.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.9
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.9
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.8
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.8
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.8
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.8
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.7
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.7
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.7
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.6
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.6
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.6
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.6
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.6
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.6
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.6
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.6
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.6
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.6
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Normal
0.6
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Tumor
0.5
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.5
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.5
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.5
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.5
8cc7e656-0152-4359-8566-0581c3
Tumor
0.5
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.4
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Normal
0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.4
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Normal
0.4
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Tumor
0.4
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Normal
0.4
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Normal
0.4
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Tumor
0.4
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Normal
0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.3
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Tumor
0.3
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Normal
0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
0.3
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Normal
0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.3
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Tumor
0.3
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Normal
0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.3
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Normal
0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
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Normal
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
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Tumor
0.2
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Normal
0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.2
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Normal
0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
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Normal
0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
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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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Normal
0.1
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Normal
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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Normal
0.1
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Normal
0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.1
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Normal
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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Normal
0.1
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Normal
0.1
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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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Normal
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
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.1
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Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-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
-0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.2
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Normal
-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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Normal
-0.2
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Normal
-0.2
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Tumor
-0.2
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Normal
-0.3
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Normal
-0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.3
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Tumor
-0.3
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Normal
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Normal
-0.4
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Tumor
-0.4
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Normal
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.5
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Tumor
-0.5
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Tumor
-0.5
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Tumor
-0.5
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Tumor
-0.5
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Tumor
-0.5
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Tumor
-0.5
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Tumor
-0.6
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Tumor
-0.6
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Tumor
-0.6
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Tumor
-0.6
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Tumor
-0.6
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Tumor
-0.6
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Tumor
-0.6
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Tumor
-0.6
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Tumor
-0.6
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Tumor
-0.6
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Tumor
-0.6
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Tumor
-0.7
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Tumor
-0.7
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Tumor
-0.7
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Tumor
-0.7
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Tumor
-0.7
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Tumor
-0.7
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Tumor
-0.7
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Tumor
-0.7
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Tumor
-0.8
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Tumor
-0.8
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Tumor
-0.8
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Tumor
-0.8
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Tumor
-0.8
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Tumor
-0.9
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Tumor
-0.9
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-1.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-1.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-1.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-1.9
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
