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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.
MT-CO3 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
12798.5
Number of samples
254
Samples
Sample
Description
TPM
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
51183.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
39360.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
37059.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
35144.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
32825.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
31615.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
28731.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
27436.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
26758.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
26419.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
26136.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
25227.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
24684.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
23716.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
23636.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
23552.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
23548.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
23419.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
22881.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
22782.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
22653.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
22642.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
22545.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
22458.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
22391.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
22191.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
22140.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
21969.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
21766.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
21426.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
21406.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
21283.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
20798.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
20776.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
20598.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
20380.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
20306.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
20057.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
19802.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
19506.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
19481.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
19464.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
19390.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
19355.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
19063.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
18907.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
18662.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
18617.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
18267.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
18039.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
17991.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
17766.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
17580.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
17461.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
17432.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
17295.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
17107.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
17104.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
16938.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
16931.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
16807.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
16803.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
16749.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
16507.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
16442.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
16436.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
16435.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
16416.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
16402.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
16368.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
16344.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
16209.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
15977.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
15883.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
15729.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
15706.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
15692.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
15640.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
15461.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
15293.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
15092.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
14916.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
14832.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
14823.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
14797.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
14709.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
14693.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
14440.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
14421.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
14410.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
14303.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
14204.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
14168.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
14121.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
13844.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
13745.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
13714.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
13516.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
13359.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
13259.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
13242.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
13225.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
13193.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
13130.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
13119.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
12977.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
12941.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
12903.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
12864.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
12858.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
12571.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
12551.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
12534.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
12531.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
12464.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
12427.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
12382.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
12270.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
12182.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
12015.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
12008.6
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
11939.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
11932.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
11877.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
11862.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
11617.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
11568.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
11441.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
11321.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
11192.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
11169.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
10836.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
10829.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
10812.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
10797.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
10785.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
10667.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
10567.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
10543.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
10530.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
10472.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
10441.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
10376.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
10370.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
10301.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
10280.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
10234.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
10208.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
10170.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
10153.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
10151.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
10063.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
9829.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
9817.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
9763.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
9576.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
9528.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
9475.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
9396.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
9373.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
9353.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
9305.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
9277.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
9243.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
9193.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
8988.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
8978.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
8967.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
8890.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
8875.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
8805.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
8744.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
8728.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
8619.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
8617.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
8582.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
8540.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
8472.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
8467.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
8384.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
8342.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
8320.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
8261.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
8236.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
8221.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
8145.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
8103.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
8092.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
8061.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
7999.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
7998.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
7936.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
7935.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
7921.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
7900.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
7890.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
7810.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
7672.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
7657.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
7555.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
7500.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
7493.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
7258.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
7257.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
7225.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
7223.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
7128.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
6912.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
6836.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
6727.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
6702.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
6646.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
6644.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
6607.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
6583.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
6450.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
6361.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
6218.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
6088.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
5998.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
5965.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
5880.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
5709.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
5654.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
5626.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
5527.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
5236.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
5194.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
5135.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
5076.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
4861.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
4595.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
4515.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
4302.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
4239.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
4238.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
3946.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
3878.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
3386.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
3304.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
3279.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
3072.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
2825.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
2467.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
2394.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
2381.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
2055.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
1933.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
1728.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
1684.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
1662.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
1202.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
804.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 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.
MT-CO3 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
16072.7
Number of samples
486
Samples
Sample
Description
TPM
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
49492.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
44683.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
44483.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
40410.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
38791.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
38714.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
37653.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
37641.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
36864.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
35791.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
35731.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
35337.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
35145.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
34464.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
33940.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
33635.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
33393.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
33161.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
32979.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
32572.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
32075.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
31686.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
31426.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
31301.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
31030.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
30978.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
30710.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
30605.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
30380.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
29524.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
29070.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
28767.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
28605.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
28280.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
28262.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
28177.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
28056.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
27797.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
27595.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
27477.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
27416.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
27353.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
27316.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
27267.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
27223.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
27171.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
27165.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
27153.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
27143.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
27097.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
26992.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
26719.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
26536.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
26361.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
26351.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
26258.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
26094.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
26065.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
25969.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
25765.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
25545.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
25453.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
25399.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
25146.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
25047.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
25005.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
24930.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
24904.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
24478.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
24445.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
24302.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
24264.3
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
24048.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
24035.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
23979.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
23963.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
23943.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
23905.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
23841.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
23813.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
23701.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
23675.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
23669.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
23643.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
23532.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
23362.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
23300.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
23167.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
23020.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
22813.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
22684.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
22670.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
22589.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
22514.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
22379.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
22218.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
22174.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
22171.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
22152.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
22133.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
22081.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
21962.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
21950.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
21914.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
21889.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
21868.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
21843.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
21822.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
21715.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
21628.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
21573.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
21570.9
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
21565.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
21442.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
21240.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
21204.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
21119.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
21107.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
21074.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
21048.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
20877.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
20863.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
20847.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
20833.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
20821.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
20780.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
20728.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
20669.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
20559.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
20547.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
20411.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
20111.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
20028.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
19985.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
19977.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
19958.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
19955.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
19874.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
19854.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
19846.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
19799.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
19766.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
19759.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
19706.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
19533.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
19502.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
19452.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
19395.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
19382.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
19274.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
19259.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
19188.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
18831.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
18802.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
18748.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
18725.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
18696.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
18673.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
18668.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
18662.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
18643.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
18622.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
18615.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
18470.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
18405.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
18279.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
18262.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
18230.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
18227.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
18164.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
18044.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
18040.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
17802.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
17757.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
17681.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
17664.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
17641.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
17635.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
17628.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
17612.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
17593.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
17547.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
17499.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
17494.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
17469.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
17449.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
17354.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
17208.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
17185.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
17175.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
17099.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
17016.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
16990.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
16933.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
16933.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
16851.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
16828.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
16823.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
16812.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
16727.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
16723.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
16681.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
16678.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
16656.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
16621.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
16576.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
16508.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
16473.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
16349.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
16298.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
16278.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
16197.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
16131.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
16130.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
16115.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
16113.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
16009.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
15980.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
15960.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
15865.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
15574.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
15496.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
15366.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
15364.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
15327.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
15304.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
15258.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
15209.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
15176.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
15076.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
15026.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
15006.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
14886.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
14872.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
14861.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
14851.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
14828.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
14827.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
14802.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
14780.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
14729.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
14720.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
14679.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
14678.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
14659.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
14574.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
14528.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
14516.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
14515.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
14460.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
14337.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
14323.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
14239.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
14225.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
14215.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
14208.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
14173.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
14101.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
14078.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
14077.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
14075.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
14061.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
14043.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
13974.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
13959.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
13959.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
13942.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
13941.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
13897.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
13864.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
13848.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
13821.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
13785.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
13775.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
13670.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
13640.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
13629.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
13576.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
13550.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
13498.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
13481.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
13461.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
13454.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
13436.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
13417.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
13382.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
13303.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
13300.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
13254.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
13222.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
13179.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
13140.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
13098.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
12795.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
12689.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
12678.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
12616.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
12599.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
12555.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
12537.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
12524.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
12513.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
12447.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
12439.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
12391.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
12391.2
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
12372.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
12366.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
12349.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
12347.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
12311.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
12268.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
12267.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
12253.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
12238.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
12190.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
12084.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
11999.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
11984.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
11972.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
11920.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
11919.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
11909.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
11777.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
11718.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
11661.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
11660.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
11601.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
11576.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
11362.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
11352.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
11348.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
11318.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
11316.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
11289.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
11263.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
11216.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
10925.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
10924.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
10846.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
10832.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
10796.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
10749.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
10743.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
10715.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
10703.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
10593.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
10496.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
10490.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
10486.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
10459.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
10458.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
10427.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
10424.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
10411.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
10388.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
10353.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
10287.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
10273.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
10216.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
10195.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
10133.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
10097.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
10079.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
10069.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
10053.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
10018.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
10018.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
10008.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
9998.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
9997.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
9994.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
9975.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
9968.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
9878.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
9873.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
9782.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
9770.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
9755.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
9662.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
9612.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
9409.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
9375.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
9258.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
9179.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
9152.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
9150.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
9150.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
9141.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
9134.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
9120.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
9118.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
9088.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
9077.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
8986.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
8967.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
8847.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
8722.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
8717.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
8617.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
8578.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
8537.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
8536.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
8414.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
8409.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
8406.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
8223.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
8167.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
8156.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
8075.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
8011.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
7968.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
7855.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
7850.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
7775.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
7762.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
7636.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
7410.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
7379.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
7358.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
7330.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
7316.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
7316.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
7264.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
7207.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
7156.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
7125.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
7030.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
7017.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
7016.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
6991.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
6985.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
6978.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
6978.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
6976.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
6853.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
6853.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
6847.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
6827.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
6753.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
6749.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
6686.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
6651.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
6636.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
6604.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
6596.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
6586.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
6561.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
6531.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
6494.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
6461.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
6414.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
6200.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
6143.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
6136.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
5994.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
5903.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
5842.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
5818.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
5703.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
5574.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
5476.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
5458.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
5341.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
5337.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
5276.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
5054.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
5047.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
4993.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
4904.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
4883.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
4876.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
4828.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
4637.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
4614.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
4578.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
4494.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
4382.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
4342.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
4235.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
3959.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
3954.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
3890.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
3582.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
902.2
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MT-CO3 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
13849.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
50401.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
37533.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
33988.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
29250.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
27714.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
27692.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
26434.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
23513.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
22941.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
21707.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
21411.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
21087.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
20333.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
20025.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
19858.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
19624.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
19616.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
18796.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
18525.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
17546.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
17514.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
17266.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
16891.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
16759.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
16684.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
16617.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
16430.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
16350.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
16263.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
15974.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
15547.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
15428.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
15368.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
15315.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
14985.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
14699.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
14492.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
14233.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
14100.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
13732.2
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
13169.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
13074.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
12865.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
12494.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
12424.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
12151.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
11883.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
11297.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
11274.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
10857.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
10677.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
10641.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
10633.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
10308.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
10229.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
9921.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
9905.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
9854.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
9826.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
9596.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
9492.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
9469.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
9384.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
9344.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
9089.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
9089.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
8865.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
8634.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
8344.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
8026.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
7755.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
7365.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
7043.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
6720.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
6039.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
5940.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
5896.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
5569.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
5282.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
5148.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
5043.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
4546.8
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
4248.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
4130.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
4101.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
3898.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
2999.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MT-CO3 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
21869.0
Number of samples
207
Samples
Sample
Description
TPM
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
71809.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
52923.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
52840.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
51749.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
47932.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
47144.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
46392.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
44441.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
43480.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
42508.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
42178.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
42099.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
41605.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
40181.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
37567.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
37422.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
36958.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
36483.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
36437.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
36061.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
35988.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
35442.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
34060.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
33814.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
33380.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
33124.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
33053.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
32840.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
32412.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
32286.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
32263.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
31720.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
31424.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
31006.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
30804.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
30774.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
29564.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
29125.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
28817.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
28731.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
28723.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
28449.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
28394.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
28374.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
28117.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
28023.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
27772.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
27340.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
27139.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
26934.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
26799.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
26718.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
26683.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
26527.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
26493.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
26412.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
26302.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
26174.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
25851.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
25771.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
25379.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
25318.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
25251.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
25233.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
24794.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
24658.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
24504.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
24449.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
24351.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
24281.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
24068.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
24031.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
23625.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
23574.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
23533.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
23384.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
23286.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
23109.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
23102.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
23088.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
23068.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
22959.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
22945.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
22550.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
22515.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
22381.4
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
22366.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
22337.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
22322.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
22280.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
22237.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
22213.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
21894.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
21853.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
21802.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
21718.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
21608.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
21551.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
21534.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
20666.9
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
20666.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
20601.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
20587.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
20564.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
20563.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
20416.5
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
20349.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
20255.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
20159.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
20113.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
19955.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
19904.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
19835.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
19793.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
19716.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
19710.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
19601.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
19585.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
19348.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
19334.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
19132.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
19049.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
18712.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
18680.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
18576.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
18495.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
18365.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
18032.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
17526.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
17516.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
17498.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
17450.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
17286.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
17205.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
17060.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
16855.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
16779.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
16747.7
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
16627.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
16549.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
16529.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
16419.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
16284.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
16237.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
16205.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
16152.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
15799.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
15499.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
15212.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
15129.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
15099.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
14987.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
14857.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
14737.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
14584.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
14351.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
14335.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
14178.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
14112.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
14059.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
13871.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
13565.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
13504.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
13194.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
13065.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
12939.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
12836.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
12804.9
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
12608.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
12407.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
12306.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
12004.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
11942.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
11808.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
11715.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
11499.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
11480.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
11300.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
11259.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
11258.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
11044.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
10721.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
10315.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
10220.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
10187.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
10053.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
9769.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
9681.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
9669.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
9436.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
9376.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
9357.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
9299.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
9147.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
9011.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
8881.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
8354.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
8002.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
7955.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
7337.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
6631.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
6450.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
6154.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
5337.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
4517.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
3419.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
1522.6
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
