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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.
S100A6 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
7058.5
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
35221.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
24775.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
21842.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
20400.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
19610.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
19124.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
17320.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
17248.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
17199.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
17176.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
15912.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
15455.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
15120.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
14438.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
14335.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
14022.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
13897.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
13691.5
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
13338.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
12298.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
12074.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
12005.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
11670.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
11538.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
11281.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
11273.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
11257.6
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
10692.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
10657.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
10643.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
10582.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
10541.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
10541.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
10506.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
10499.5
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
10421.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
10316.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
10297.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
10262.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
10058.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
9890.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
9886.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
9753.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
9640.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
9567.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
9548.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
9431.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
9331.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
9319.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
9251.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
9227.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
9165.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
9158.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
9121.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
9102.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
9095.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
9043.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
9022.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
8965.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
8936.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
8870.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
8809.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
8807.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
8679.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
8623.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
8621.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
8571.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
8531.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
8412.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
8333.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
8319.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
8312.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
8296.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
8267.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
8231.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
8214.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
8210.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
8198.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
8197.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
8157.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
8027.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
8001.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
7941.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
7899.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
7799.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
7747.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
7698.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
7682.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
7625.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
7528.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
7485.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
7395.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
7394.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
7276.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
7204.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
7198.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
7154.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
7141.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
7118.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
6991.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
6985.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
6977.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
6929.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
6868.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
6745.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
6739.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
6705.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
6670.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
6651.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
6641.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
6641.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
6585.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
6582.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
6532.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
6520.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
6485.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
6440.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
6438.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
6408.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
6348.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
6291.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
6279.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
6266.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
6238.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
6236.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
6213.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
6205.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
6188.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
6154.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
6154.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
6126.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
6082.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
6046.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
6029.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
5994.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
5973.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
5928.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
5783.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
5760.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
5721.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
5711.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
5687.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
5676.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
5653.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
5566.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
5555.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
5521.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
5444.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
5436.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
5367.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
5364.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
5347.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
5324.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
5295.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
5292.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
5273.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
5258.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
5256.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
5244.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
5212.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
5211.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
5193.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
5133.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
5109.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
5036.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
5015.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
4989.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
4975.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
4972.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
4958.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
4940.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
4936.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
4898.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
4883.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
4824.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
4820.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
4803.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
4766.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
4764.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
4750.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
4695.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
4694.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
4637.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
4633.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
4624.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
4607.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
4592.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
4563.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
4535.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
4518.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
4514.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
4487.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
4477.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
4469.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
4434.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
4415.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
4398.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
4313.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
4313.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
4299.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
4294.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
4262.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
4187.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
4139.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
4053.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
4003.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
3983.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
3965.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
3952.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
3939.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
3930.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
3903.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
3826.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
3764.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
3727.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
3716.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
3716.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
3707.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
3682.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
3609.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
3583.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
3579.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
3527.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
3510.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
3449.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
3418.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
3371.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
3234.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
3015.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
2995.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
2956.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
2905.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
2854.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
2805.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
2763.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
2738.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
2724.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
2579.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
2565.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
2397.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
2335.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
2335.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
2315.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
2153.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
2100.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
2069.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
1921.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
1743.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
1739.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
1688.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
1587.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
1587.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
1463.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 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.
S100A6 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
1901.9
Number of samples
486
Samples
Sample
Description
TPM
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
6859.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
6539.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
5890.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
5406.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
5143.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
5141.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
4992.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
4873.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
4829.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
4812.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
4807.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
4759.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
4646.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
4587.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
4567.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
4530.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
4480.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
4475.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
4444.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
4416.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
4182.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
4084.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
4012.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
3928.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
3869.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
3853.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
3730.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
3684.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
3637.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
3616.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
3589.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
3578.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
3542.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
3531.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
3514.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
3493.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
3455.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
3441.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
3387.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
3383.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
3378.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
3361.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
3354.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
3340.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
3299.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
3294.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
3282.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
3242.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
3241.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
3226.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
3190.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
3186.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
3168.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
3159.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
3158.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
3152.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
3063.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
3056.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
3048.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
3015.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
2941.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
2932.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
2922.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
2909.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
2903.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
2887.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
2869.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
2860.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
2831.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
2825.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
2821.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
2817.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
2810.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
2803.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
2789.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
2781.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
2778.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
2737.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
2722.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
2718.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
2717.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
2715.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
2711.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
2703.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
2692.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
2691.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
2664.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
2654.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
2651.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
2643.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
2640.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
2637.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
2628.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
2610.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
2607.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
2599.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
2598.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
2586.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
2575.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
2573.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
2542.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
2541.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
2533.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
2500.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
2490.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
2474.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
2471.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
2468.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
2459.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
2438.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
2435.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
2432.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
2414.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
2402.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
2391.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
2375.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
2366.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
2362.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
2349.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
2343.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
2343.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
2338.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
2336.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
2327.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
2315.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
2295.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
2292.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
2292.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
2287.6
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
2287.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
2280.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
2273.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
2269.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
2267.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
2264.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
2261.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
2241.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
2234.9
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
2230.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
2225.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
2189.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
2168.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
2162.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
2156.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
2134.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
2130.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
2127.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
2122.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
2115.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
2113.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
2110.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
2109.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
2105.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
2097.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
2087.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
2073.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
2073.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
2066.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
2052.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
2050.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
2050.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
2047.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
2046.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
2041.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
2036.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
2035.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
2025.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
2020.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
2017.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
2013.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
2005.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
2001.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
1996.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
1992.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
1988.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
1972.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
1963.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
1958.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
1954.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
1952.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
1935.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
1934.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
1910.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
1901.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
1898.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
1895.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
1893.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
1893.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
1878.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
1874.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
1874.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
1874.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
1871.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
1854.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
1843.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
1842.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
1830.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
1827.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
1824.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
1823.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
1813.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
1810.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
1809.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
1806.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
1805.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
1803.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
1796.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
1792.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
1784.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
1783.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
1783.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
1782.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
1772.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
1771.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
1766.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
1765.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
1761.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
1758.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
1755.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
1753.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
1752.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
1750.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
1747.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
1746.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
1734.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
1729.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
1729.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
1726.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
1725.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
1714.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
1713.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
1706.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
1700.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
1697.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
1695.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
1689.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
1688.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
1687.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
1685.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
1676.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
1669.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
1663.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
1647.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
1645.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
1644.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
1639.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
1639.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
1636.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
1631.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
1627.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
1627.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
1622.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
1616.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
1613.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
1608.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
1603.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
1599.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
1599.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
1599.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
1590.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
1588.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
1584.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
1579.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
1571.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
1564.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
1556.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
1555.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
1552.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
1543.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
1543.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
1536.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
1531.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
1523.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
1519.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
1515.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
1502.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
1501.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
1501.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
1493.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
1488.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
1485.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
1482.4
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
1474.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
1471.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
1470.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
1467.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
1467.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
1464.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
1459.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
1455.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
1455.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
1449.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
1447.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
1442.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
1440.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
1440.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
1438.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
1438.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
1436.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
1427.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
1424.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
1423.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
1419.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
1408.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
1400.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
1399.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
1390.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
1387.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
1384.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
1379.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
1376.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
1374.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
1374.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
1372.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
1372.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
1369.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
1369.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
1364.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
1361.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
1360.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
1353.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
1350.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
1350.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
1348.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
1345.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
1334.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
1328.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
1326.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
1325.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
1325.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
1316.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
1314.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
1314.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
1310.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
1306.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
1304.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
1299.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
1298.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
1291.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
1289.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
1286.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
1283.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
1274.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
1272.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
1272.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
1271.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
1269.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
1266.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
1266.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
1254.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
1253.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
1250.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
1230.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
1228.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
1227.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
1226.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
1214.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
1212.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
1212.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
1207.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
1205.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
1204.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
1203.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
1201.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
1200.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
1198.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
1194.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
1183.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
1180.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
1179.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
1171.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
1164.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
1162.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
1160.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
1156.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
1155.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
1155.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
1154.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
1150.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
1146.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
1140.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
1136.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
1133.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
1132.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
1130.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
1124.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
1117.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
1117.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
1116.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
1114.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
1111.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
1109.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
1105.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
1099.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
1096.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
1089.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
1089.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
1088.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
1085.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
1083.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
1082.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
1079.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
1078.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
1077.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
1075.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
1073.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
1072.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
1070.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
1066.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
1065.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
1064.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
1063.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
1059.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
1052.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
1049.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
1048.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
1044.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
1043.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
1038.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
1038.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
1033.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
1028.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
1016.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
1013.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
1005.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
995.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
992.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
976.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
975.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
974.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
974.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
970.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
968.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
967.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
964.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
961.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
960.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
948.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
941.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
940.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
935.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
930.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
928.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
919.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
910.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
909.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
898.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
896.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
895.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
887.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
885.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
882.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
881.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
875.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
870.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
865.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
861.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
861.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
860.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
854.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
842.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
838.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
833.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
821.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
813.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
798.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
776.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
772.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
739.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
732.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
726.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
708.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
707.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
694.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
687.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
684.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
651.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
650.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
625.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
531.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
521.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
515.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
433.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
351.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
113.0
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.
S100A6 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
6195.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
16688.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
15997.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
14184.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
13006.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
11304.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
11094.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
10902.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
10108.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
9204.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
8954.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
8949.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
8783.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
8773.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
8652.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
8613.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
8612.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
8394.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
8367.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
8253.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
7684.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
7678.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
7481.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
7413.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
7406.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
7380.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
7307.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
7242.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
7123.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
7010.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
6978.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
6851.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
6814.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
6807.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
6698.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
6477.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
6471.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
6285.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
6250.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
6136.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
5841.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
5711.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
5706.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
5673.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
5499.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
5419.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
5409.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
5409.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
5392.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
5255.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
5224.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
5203.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
5196.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
5153.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
5105.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
5098.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
5004.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
4912.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
4904.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
4903.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
4861.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
4821.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
4681.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
4624.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
4623.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
4412.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
4390.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
4274.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
4262.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
4194.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
4090.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
3959.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
3838.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
3618.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
3550.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
3367.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
3252.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
3135.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
3105.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
3049.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
2921.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
2917.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
2845.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
2681.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
2341.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
2330.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
1955.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 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.
S100A6 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
1473.7
Number of samples
207
Samples
Sample
Description
TPM
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
5287.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
4151.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
3986.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
3370.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
3288.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
3239.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
3185.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
3170.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
3062.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
2994.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
2825.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
2796.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
2749.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
2616.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
2605.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
2565.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
2457.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
2439.7
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
2408.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
2393.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
2351.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
2347.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
2340.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
2332.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
2324.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
2221.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
2201.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
2196.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
2159.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
2136.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
2117.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
2104.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
2102.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
2044.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
2037.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
2028.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
2022.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
2014.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
1993.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
1962.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
1953.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
1930.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
1928.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
1925.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
1918.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
1913.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
1912.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
1910.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
1898.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
1897.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
1890.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
1882.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
1870.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
1868.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
1861.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
1851.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
1842.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
1834.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
1823.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
1771.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
1757.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
1753.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
1751.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
1729.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
1724.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
1717.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
1714.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
1709.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
1660.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
1657.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
1618.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
1584.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
1582.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
1574.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
1568.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
1545.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
1532.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
1516.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
1513.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
1511.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
1511.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
1507.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
1492.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
1487.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
1479.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
1465.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
1462.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
1461.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
1441.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
1433.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
1427.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
1418.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
1408.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
1399.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
1393.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
1389.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
1388.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
1388.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
1377.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
1367.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
1365.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
1348.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
1339.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
1328.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
1313.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
1313.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
1307.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
1301.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
1274.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
1264.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
1260.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
1260.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
1256.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
1255.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
1234.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
1231.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
1225.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
1206.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
1199.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
1198.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
1197.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
1193.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
1187.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
1180.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
1173.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
1144.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
1127.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
1120.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
1114.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
1112.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
1087.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
1080.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
1080.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
1078.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
1074.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
1070.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
1069.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
1064.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
1040.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
1030.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
1029.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
1028.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
1022.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
1021.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
1021.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
1017.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
1011.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
1010.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
1009.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
1005.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
1005.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
958.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
955.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
946.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
931.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
929.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
925.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
922.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
921.1
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
915.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
886.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
880.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
865.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
863.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
861.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
859.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
854.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
853.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
851.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
848.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
842.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
838.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
824.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
816.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
814.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
810.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
809.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
807.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
804.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
803.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
802.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
801.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
796.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
782.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
751.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
744.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
735.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
732.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
703.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
696.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
688.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
682.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
665.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
656.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
648.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
641.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
624.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
620.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
619.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
607.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
601.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
595.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
590.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
561.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
418.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
396.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
64.0
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
1.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
1.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.9
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.8
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.8
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.7
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.7
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.7
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.6
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.6
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.6
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.6
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.5
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.5
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.5
963fc8db-f412-4427-a198-23f660_D2
Normal
0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.4
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.4
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.4
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.4
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.4
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.4
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.4
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.5
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.5
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.5
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.5
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.5
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.5
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.5
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.5
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.5
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.5
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.5
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.5
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.5
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.5
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.5
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.5
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.5
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.6
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.6
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.6
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.6
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.6
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.6
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.6
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.6
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.6
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.7
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.7
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.7
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.7
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.7
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.7
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.7
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.7
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.7
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.7
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.7
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.7
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.7
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.8
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.8
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.8
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.8
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.8
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.8
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.8
b2400046-1d25-429d-a821-6040a6
Tumor
-0.8
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.8
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.9
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.9
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.9
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.9
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.9
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.9
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.9
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.9
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.9
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-1.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-1.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-1.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-1.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-1.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-1.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-1.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-1.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-1.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-1.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-1.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-1.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-1.5
43192517-085e-450e-9481-0a6713_D3
Tumor
-1.6
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.