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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.
TMSB4X 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
5588.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
14467.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
11747.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
11489.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
11416.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
11290.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
11187.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
10696.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
10354.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
10305.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
10229.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
10190.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
9866.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
9856.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
9718.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
9685.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
9601.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
9598.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
9374.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
9215.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
9059.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
8974.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
8784.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
8589.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
8574.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
8551.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
8502.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
8442.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
8365.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
8355.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
8281.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
8258.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
8079.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
8053.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
8042.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
8014.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
7928.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
7905.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
7871.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
7713.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
7711.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
7699.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
7671.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
7611.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
7567.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
7565.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
7508.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
7501.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
7472.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
7458.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
7409.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
7279.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
7253.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
7221.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
7148.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
7098.7
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
7082.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
7069.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
7048.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
7034.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
7022.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
7014.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
6984.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
6883.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
6877.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
6861.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
6801.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
6778.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
6772.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
6767.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
6750.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
6686.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
6666.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
6638.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
6623.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
6588.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
6577.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
6496.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
6477.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
6475.6
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
6430.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
6363.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
6321.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
6321.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
6234.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
6221.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
6221.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
6192.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
6187.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
6183.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
6179.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
6159.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
6087.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
6050.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
6043.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
6020.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
5998.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
5992.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
5953.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
5933.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
5859.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
5847.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
5836.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
5772.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
5748.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
5716.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
5713.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
5661.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
5653.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
5590.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
5564.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
5552.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
5551.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
5550.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
5548.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
5521.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
5506.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
5497.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
5489.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
5483.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
5471.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
5470.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
5434.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
5419.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
5391.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
5357.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
5343.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
5300.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
5259.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
5243.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
5218.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
5216.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
5183.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
5179.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
5169.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
5166.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
5122.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
5079.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
5028.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
4974.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
4954.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
4919.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
4886.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
4880.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
4857.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
4854.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
4838.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
4807.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
4777.7
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
4770.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
4764.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
4762.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
4727.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
4726.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
4719.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
4711.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
4684.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
4664.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
4639.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
4632.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
4615.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
4593.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
4591.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
4574.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
4547.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
4543.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
4520.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
4496.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
4490.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
4482.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
4476.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
4453.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
4447.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
4438.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
4433.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
4423.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
4421.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
4414.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
4377.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
4375.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
4374.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
4361.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
4292.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
4246.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
4200.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
4183.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
4180.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
4176.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
4155.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
4121.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
4104.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
4083.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
4034.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
3958.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
3943.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
3915.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
3836.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
3825.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
3783.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
3766.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
3761.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
3761.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
3755.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
3748.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
3722.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
3700.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
3695.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
3690.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
3638.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
3623.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
3607.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
3538.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
3515.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
3486.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
3394.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
3390.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
3327.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
3290.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
3280.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
3200.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
3170.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
3162.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
3149.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
3095.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
3091.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
3073.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
2989.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
2959.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
2944.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
2917.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
2786.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
2783.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
2743.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
2731.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
2715.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
2704.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
2680.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
2674.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
2657.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
2654.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
2534.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
2532.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
2499.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
2489.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
2470.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
2441.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
2387.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
2373.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
2346.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
2329.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
2222.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
2219.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
1829.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
1788.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 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.
TMSB4X 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
2084.0
Number of samples
486
Samples
Sample
Description
TPM
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
5850.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
5557.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
5012.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
4970.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
4119.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
4110.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
4057.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
4057.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
3994.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
3840.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
3798.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
3724.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
3718.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
3678.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
3636.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
3628.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
3539.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
3501.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
3488.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
3486.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
3470.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
3461.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
3435.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
3430.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
3423.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
3420.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
3348.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
3332.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
3312.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
3288.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
3275.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
3257.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
3256.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
3220.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
3190.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
3159.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
3149.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
3136.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
3112.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
3093.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
3093.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
3065.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
3048.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
3035.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
3016.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
3007.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
3002.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
2992.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
2989.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
2986.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
2985.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
2968.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
2966.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
2952.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
2926.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
2913.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
2905.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
2897.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
2896.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
2894.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
2893.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
2885.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
2864.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
2855.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
2853.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
2843.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
2841.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
2840.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
2838.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
2835.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
2834.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
2780.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
2772.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
2766.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
2764.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
2750.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
2741.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
2740.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
2729.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
2713.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
2710.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
2697.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
2697.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
2686.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
2681.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
2676.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
2674.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
2663.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
2661.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
2655.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
2608.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
2604.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
2596.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
2594.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
2590.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
2580.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
2578.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
2575.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
2572.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
2570.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
2567.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
2560.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
2559.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
2552.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
2552.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
2550.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
2548.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
2546.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
2538.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
2538.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
2533.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
2514.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
2506.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
2503.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
2499.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
2497.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
2491.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
2482.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
2481.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
2463.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
2463.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
2462.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
2461.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
2455.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
2452.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
2442.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
2437.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
2427.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
2423.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
2418.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
2418.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
2408.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
2406.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
2396.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
2396.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
2374.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
2373.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
2373.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
2367.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
2359.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
2359.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
2353.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
2348.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
2341.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
2339.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
2332.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
2319.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
2315.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
2306.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
2301.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
2299.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
2292.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
2283.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
2280.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
2277.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
2273.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
2267.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
2262.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
2260.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
2250.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
2249.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
2248.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
2234.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
2234.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
2231.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
2230.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
2228.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
2227.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
2220.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
2216.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
2209.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
2200.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
2189.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
2188.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
2182.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
2180.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
2178.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
2177.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
2169.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
2168.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
2157.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
2156.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
2150.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
2145.6
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
2141.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
2124.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
2120.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
2119.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
2119.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
2118.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
2107.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
2105.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
2105.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
2100.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
2098.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
2095.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
2095.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
2095.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
2091.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
2090.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
2090.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
2089.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
2081.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
2078.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
2077.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
2076.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
2074.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
2069.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
2064.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
2060.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
2046.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
2045.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
2044.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
2044.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
2043.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
2043.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
2042.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
2042.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
2039.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
2037.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
2028.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
2024.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
2021.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
2018.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
2018.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
2017.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
2014.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
2010.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
2005.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
2001.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
1999.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
1998.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
1991.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
1989.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
1982.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
1982.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
1980.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
1979.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
1978.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
1978.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
1977.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
1977.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
1972.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
1971.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
1969.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
1969.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
1966.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
1961.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
1960.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
1958.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
1957.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
1955.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
1949.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
1948.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
1947.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
1934.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
1931.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
1930.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
1929.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
1927.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
1918.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
1918.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
1916.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
1914.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
1913.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
1907.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
1906.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
1904.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
1904.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
1902.8
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
1901.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
1895.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
1890.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
1882.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
1882.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
1878.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
1876.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
1873.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
1868.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
1858.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
1857.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
1857.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
1856.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
1854.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
1854.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
1853.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
1852.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
1850.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
1849.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
1846.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
1846.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
1831.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
1827.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
1823.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
1816.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
1815.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
1812.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
1811.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
1808.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
1800.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
1799.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
1796.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
1794.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
1788.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
1781.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
1776.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
1775.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
1774.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
1772.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
1771.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
1771.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
1768.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
1765.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
1764.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
1762.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
1760.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
1758.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
1758.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
1757.9
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
1743.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
1743.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
1736.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
1734.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
1731.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
1729.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
1729.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
1728.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
1723.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
1718.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
1714.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
1712.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
1707.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
1705.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
1705.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
1702.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
1698.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
1697.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
1693.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
1686.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
1685.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
1684.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
1682.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
1679.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
1667.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
1665.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
1664.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
1661.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
1661.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
1653.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
1651.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
1649.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
1645.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
1641.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
1637.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
1635.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
1631.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
1627.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
1620.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
1614.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
1611.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
1611.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
1607.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
1606.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
1603.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
1602.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
1601.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
1596.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
1594.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
1594.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
1591.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
1587.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
1586.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
1582.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
1577.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
1576.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
1570.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
1569.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
1567.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
1567.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
1566.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
1563.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
1560.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
1559.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
1556.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
1555.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
1552.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
1551.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
1549.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
1548.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
1544.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
1544.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
1535.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
1519.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
1513.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
1507.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
1506.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
1505.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
1504.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
1504.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
1502.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
1494.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
1491.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
1490.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
1470.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
1468.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
1462.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
1461.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
1458.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
1454.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
1444.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
1431.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
1429.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
1429.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
1428.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
1428.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
1423.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
1417.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
1410.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
1407.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
1403.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
1402.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
1396.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
1388.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
1381.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
1379.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
1373.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
1369.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
1368.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
1362.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
1354.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
1344.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
1329.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
1328.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
1327.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
1321.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
1318.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
1316.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
1308.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
1307.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
1287.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
1280.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
1270.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
1270.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
1266.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
1264.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
1262.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
1259.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
1255.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
1254.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
1249.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
1249.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
1248.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
1244.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
1239.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
1225.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
1219.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
1214.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
1203.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
1197.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
1176.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
1173.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
1152.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
1149.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
1133.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
1126.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
1123.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
1121.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
1110.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
1107.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
1084.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
1074.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
1073.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
1057.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
1053.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
1047.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
1018.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
995.2
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
989.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
967.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
956.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
908.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
900.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
684.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
592.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
71.2
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.
TMSB4X 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
5907.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
18249.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
15044.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
12220.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
12142.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
11395.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
10910.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
10435.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
9906.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
9604.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
9390.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
9304.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
9189.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
8899.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
8570.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
7984.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
7860.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
7707.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
7674.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
7343.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
7335.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
7198.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
7145.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
6883.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
6598.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
6364.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
6260.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
6259.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
6157.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
6153.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
6037.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
6029.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
6007.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
5983.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
5904.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
5804.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
5681.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
5613.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
5547.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
5526.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
5440.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
5315.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
5311.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
5156.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
5111.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
5070.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
4997.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
4941.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
4917.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
4839.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
4823.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
4700.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
4685.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
4673.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
4634.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
4617.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
4614.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
4596.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
4573.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
4567.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
4521.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
4512.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
4440.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
4378.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
4361.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
4348.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
4294.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
4270.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
4254.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
4207.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
4156.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
4138.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
4101.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
3870.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
3771.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
3589.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
3426.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
3336.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
3320.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
3310.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
3278.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
3229.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
3102.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
3012.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
2682.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
2610.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
2274.9
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
1638.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 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.
TMSB4X 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
1708.8
Number of samples
207
Samples
Sample
Description
TPM
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
5688.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
4218.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
3707.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
3634.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
3540.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
3500.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
3403.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
3176.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
3155.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
2916.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
2878.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
2875.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
2844.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
2834.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
2815.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
2745.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
2691.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
2661.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
2655.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
2653.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
2634.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
2612.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
2591.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
2562.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
2538.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
2497.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
2426.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
2342.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
2330.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
2322.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
2276.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
2257.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
2242.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
2202.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
2195.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
2193.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
2152.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
2143.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
2142.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
2126.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
2120.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
2111.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
2049.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
2041.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
2036.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
2030.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
2024.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
2023.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
2020.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
2013.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
2010.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
2005.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
2004.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
2000.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
1996.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
1987.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
1977.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
1977.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
1973.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
1967.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
1948.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
1944.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
1933.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
1928.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
1909.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
1903.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
1880.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
1875.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
1871.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
1869.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
1838.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
1826.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
1824.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
1821.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
1811.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
1807.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
1795.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
1775.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
1753.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
1747.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
1734.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
1717.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
1710.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
1706.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
1700.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
1692.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
1684.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
1677.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
1674.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
1674.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
1672.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
1669.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
1656.9
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
1648.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
1642.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
1630.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
1615.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
1614.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
1606.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
1605.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
1599.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
1591.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
1584.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
1580.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
1573.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
1559.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
1553.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
1553.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
1549.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
1544.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
1540.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
1539.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
1536.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
1533.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
1527.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
1526.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
1523.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
1520.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
1519.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
1509.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
1494.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
1490.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
1488.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
1484.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
1480.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
1477.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
1476.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
1467.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
1460.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
1459.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
1416.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
1416.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
1415.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
1414.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
1413.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
1410.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
1409.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
1403.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
1381.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
1366.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
1357.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
1350.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
1347.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
1329.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
1326.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
1325.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
1301.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
1295.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
1285.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
1281.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
1273.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
1265.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
1264.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
1261.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
1253.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
1230.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
1223.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
1211.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
1206.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
1202.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
1198.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
1194.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
1193.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
1179.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
1173.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
1173.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
1166.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
1165.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
1165.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
1164.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
1158.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
1148.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
1143.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
1134.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
1132.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
1118.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
1116.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
1113.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
1092.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
1081.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
1073.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
1057.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
1057.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
1048.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
1039.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
1037.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
1028.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
1024.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
987.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
986.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
974.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
963.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
955.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
950.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
944.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
921.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
878.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
875.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
762.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
756.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
712.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
703.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
680.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
645.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
521.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
514.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
64.9
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
1.7
b2400046-1d25-429d-a821-6040a6
Tumor
1.7
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
1.6
8cc7e656-0152-4359-8566-0581c3
Tumor
1.5
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
1.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
1.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
1.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
1.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
1.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
1.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
1.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
1.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
1.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
1.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
1.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
1.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
1.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.9
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.9
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.9
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.9
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.8
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.8
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.8
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.7
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.7
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.7
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.7
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.6
82157a70-12f1-4913-b548-d98881_D2
Normal
0.6
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.6
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.6
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.6
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.6
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.6
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.5
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.5
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.5
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.5
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.4
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.5
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.5
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.5
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.5
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.5
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.5
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.5
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.5
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.5
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.5
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.6
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.6
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.6
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.6
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.6
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.6
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.6
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.6
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.7
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.7
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.7
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.7
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.7
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.7
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.7
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.7
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.8
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.8
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.8
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.8
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.9
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.9
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.9
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.9
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.9
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.9
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.9
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.9
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.9
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.9
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.9
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.9
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-1.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-1.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-1.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-1.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-1.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-1.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-1.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
-1.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-1.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-1.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-1.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-1.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-1.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-1.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-1.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-1.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-1.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-1.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-1.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-1.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-1.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-1.5
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-1.5
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-1.6
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-1.7
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-1.7
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-1.7
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-1.7
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-1.8
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-1.8
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-1.8
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.9
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-1.9
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-1.9
da747cee-5026-4923-af63-ad9f81_D2
Normal
-1.9
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-1.9
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-2.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-2.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-2.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-2.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-2.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-2.6
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-2.6
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-2.7
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-3.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-3.5
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-3.5
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.