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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.
PTMA 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
2371.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
4571.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
4510.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
4384.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
4114.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
4023.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
3987.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
3916.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
3899.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
3802.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
3746.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
3733.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
3693.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
3649.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
3648.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
3500.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
3458.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
3455.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
3437.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
3434.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
3431.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
3411.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
3402.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
3402.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
3373.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
3368.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
3298.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
3263.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
3241.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
3217.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
3201.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
3191.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
3154.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
3127.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
3066.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
3046.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
3044.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
3042.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
3009.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
2994.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
2986.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
2977.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
2972.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
2964.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
2962.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
2948.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
2946.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
2908.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
2868.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
2864.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
2846.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
2827.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
2795.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
2793.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
2785.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
2782.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
2772.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
2762.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
2761.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
2752.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
2731.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
2722.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
2705.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
2703.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
2703.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
2700.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
2690.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
2679.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
2668.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
2665.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
2662.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
2660.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
2652.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
2642.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
2640.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
2636.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
2629.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
2628.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
2625.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
2615.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
2610.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
2608.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
2602.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
2601.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
2593.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
2592.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
2578.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
2563.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
2562.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
2560.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
2549.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
2545.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
2526.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
2525.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
2523.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
2509.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
2508.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
2500.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
2486.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
2483.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
2479.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
2474.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
2464.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
2461.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
2454.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
2450.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
2449.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
2446.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
2443.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
2443.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
2427.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
2419.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
2415.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
2401.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
2399.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
2393.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
2391.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
2378.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
2366.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
2359.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
2358.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
2325.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
2325.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
2322.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
2322.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
2319.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
2318.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
2317.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
2315.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
2300.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
2298.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
2295.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
2294.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
2294.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
2290.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
2287.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
2286.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
2279.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
2268.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
2263.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
2256.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
2240.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
2236.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
2234.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
2231.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
2220.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
2220.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
2202.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
2201.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
2185.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
2182.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
2175.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
2170.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
2169.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
2169.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
2160.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
2143.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
2142.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
2130.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
2130.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
2124.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
2120.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
2113.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
2113.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
2101.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
2101.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
2089.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
2085.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
2062.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
2051.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
2036.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
2031.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
2030.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
2028.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
2027.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
2022.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
2007.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
2005.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
2004.5
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
1990.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
1972.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
1971.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
1970.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
1969.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
1957.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
1957.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
1948.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
1928.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
1916.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
1913.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
1911.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
1911.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
1909.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
1903.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
1897.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
1859.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
1847.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
1837.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
1835.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
1829.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
1827.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
1797.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
1797.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
1795.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
1793.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
1792.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
1781.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
1780.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
1777.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
1774.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
1757.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
1757.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
1750.1
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
1743.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
1734.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
1731.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
1713.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
1707.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
1706.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
1695.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
1691.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
1675.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
1661.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
1658.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
1650.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
1648.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
1641.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
1638.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
1624.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
1623.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
1616.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
1606.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
1599.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
1591.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
1576.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
1564.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
1551.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
1521.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
1509.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
1508.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
1477.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
1444.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
1430.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
1390.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
1386.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
1317.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
1276.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
1236.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
1140.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
1134.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
1119.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
1057.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
1028.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
977.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 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.
PTMA 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
1370.3
Number of samples
486
Samples
Sample
Description
TPM
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
3103.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
2769.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
2649.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
2498.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
2419.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
2385.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
2347.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
2332.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
2228.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
2220.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
2213.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
2171.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
2156.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
2156.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
2150.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
2115.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
2111.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
2088.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
2080.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
2065.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
2061.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
2048.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
2008.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
2001.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
2000.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
1999.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
1986.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
1977.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
1973.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
1965.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
1957.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
1952.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
1952.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
1927.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
1922.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
1920.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
1907.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
1889.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
1880.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
1870.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
1865.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
1858.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
1858.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
1840.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
1827.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
1820.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
1817.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
1810.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
1809.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
1802.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
1796.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
1793.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
1792.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
1778.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
1770.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
1766.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
1765.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
1757.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
1754.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
1754.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
1753.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
1753.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
1751.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
1749.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
1747.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
1745.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
1745.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
1740.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
1740.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
1738.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
1737.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
1732.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
1727.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
1726.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
1723.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
1713.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
1708.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
1708.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
1702.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
1698.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
1694.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
1693.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
1690.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
1688.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
1687.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
1681.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
1679.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
1669.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
1657.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
1657.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
1652.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
1649.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
1649.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
1649.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
1645.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
1638.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
1637.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
1636.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
1635.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
1633.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
1620.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
1617.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
1617.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
1617.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
1613.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
1610.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
1609.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
1598.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
1597.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
1594.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
1583.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
1582.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
1582.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
1581.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
1581.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
1579.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
1575.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
1570.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
1570.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
1564.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
1564.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
1558.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
1557.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
1556.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
1555.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
1555.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
1553.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
1549.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
1549.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
1543.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
1543.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
1543.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
1542.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
1542.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
1538.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
1537.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
1537.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
1536.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
1536.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
1534.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
1525.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
1523.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
1521.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
1514.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
1507.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
1503.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
1502.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
1499.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
1498.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
1497.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
1497.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
1497.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
1496.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
1495.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
1491.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
1487.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
1484.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
1484.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
1483.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
1483.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
1480.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
1477.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
1474.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
1474.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
1472.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
1467.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
1465.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
1462.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
1460.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
1459.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
1459.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
1456.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
1455.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
1455.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
1454.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
1454.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
1454.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
1453.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
1450.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
1449.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
1443.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
1438.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
1438.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
1435.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
1435.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
1434.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
1432.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
1430.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
1427.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
1422.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
1421.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
1419.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
1415.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
1414.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
1411.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
1409.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
1409.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
1408.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
1406.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
1404.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
1402.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
1400.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
1400.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
1397.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
1396.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
1395.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
1395.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
1394.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
1393.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
1393.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
1391.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
1391.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
1391.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
1390.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
1388.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
1388.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
1386.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
1384.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
1381.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
1378.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
1375.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
1375.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
1372.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
1372.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
1371.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
1371.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
1370.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
1369.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
1368.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
1367.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
1365.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
1364.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
1360.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
1358.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
1357.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
1355.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
1352.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
1352.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
1349.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
1344.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
1344.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
1343.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
1342.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
1333.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
1332.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
1331.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
1329.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
1324.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
1318.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
1318.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
1317.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
1317.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
1312.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
1310.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
1310.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
1309.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
1308.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
1306.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
1306.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
1305.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
1305.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
1303.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
1300.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
1300.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
1299.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
1297.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
1296.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
1295.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
1295.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
1295.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
1292.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
1291.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
1287.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
1287.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
1282.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
1279.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
1279.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
1278.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
1276.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
1275.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
1270.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
1269.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
1269.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
1268.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
1265.7
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
1265.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
1265.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
1264.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
1264.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
1263.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
1263.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
1262.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
1260.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
1259.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
1258.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
1252.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
1251.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
1250.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
1250.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
1244.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
1243.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
1242.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
1242.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
1241.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
1239.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
1237.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
1229.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
1226.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
1220.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
1220.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
1214.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
1213.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
1213.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
1210.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
1205.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
1203.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
1201.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
1201.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
1201.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
1200.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
1197.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
1197.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
1197.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
1197.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
1196.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
1194.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
1194.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
1192.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
1191.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
1191.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
1190.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
1188.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
1185.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
1184.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
1184.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
1180.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
1180.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
1180.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
1178.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
1173.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
1173.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
1169.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
1168.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
1164.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
1164.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
1162.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
1161.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
1157.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
1156.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
1151.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
1149.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
1146.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
1146.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
1143.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
1143.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
1140.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
1137.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
1136.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
1135.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
1132.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
1131.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
1129.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
1129.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
1128.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
1126.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
1121.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
1118.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
1118.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
1116.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
1115.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
1113.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
1112.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
1110.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
1108.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
1106.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
1104.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
1103.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
1103.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
1102.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
1098.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
1096.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
1094.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
1091.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
1090.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
1088.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
1083.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
1083.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
1083.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
1081.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
1079.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
1075.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
1073.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
1069.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
1065.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
1063.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
1061.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
1057.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
1056.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
1053.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
1052.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
1052.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
1052.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
1051.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
1046.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
1045.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
1044.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
1040.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
1040.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
1037.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
1036.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
1033.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
1031.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
1031.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
1027.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
1025.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
1018.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
1017.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
1014.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
1013.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
1012.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
1011.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
1011.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
1009.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
1008.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
1007.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
1003.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
1002.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
1001.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
1001.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
999.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
996.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
994.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
989.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
983.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
978.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
972.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
969.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
962.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
961.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
960.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
959.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
958.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
951.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
949.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
949.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
932.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
931.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
929.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
929.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
928.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
926.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
925.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
919.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
914.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
905.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
904.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
895.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
889.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
889.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
886.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
885.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
881.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
880.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
875.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
875.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
875.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
870.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
867.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
859.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
857.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
836.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
835.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
831.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
825.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
813.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
812.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
805.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
802.7
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
746.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
714.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
665.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
639.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
612.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
576.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
230.9
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.
PTMA 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
2423.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
4778.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
4302.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
4176.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
4145.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
3653.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
3560.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
3489.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
3350.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
3211.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
3135.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
3110.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
3071.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
3013.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
3002.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
2998.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
2966.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
2902.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
2858.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
2847.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
2783.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
2774.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
2755.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
2714.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
2711.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
2706.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
2671.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
2663.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
2652.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
2644.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
2636.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
2601.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
2597.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
2592.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
2564.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
2563.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
2549.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
2531.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
2493.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
2490.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
2470.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
2416.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
2361.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
2349.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
2325.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
2320.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
2299.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
2273.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
2264.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
2264.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
2261.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
2243.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
2230.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
2225.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
2224.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
2178.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
2175.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
2175.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
2155.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
2144.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
2108.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
2097.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
2087.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
2084.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
2017.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
1996.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
1989.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
1945.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
1936.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
1861.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
1852.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
1813.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
1803.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
1790.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
1772.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
1763.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
1742.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
1717.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
1706.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
1698.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
1695.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
1650.4
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
1550.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
1503.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
1455.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
1393.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
1264.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
1199.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PTMA 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
1194.8
Number of samples
207
Samples
Sample
Description
TPM
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
2231.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
2103.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
2062.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
2003.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
1939.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
1891.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
1886.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
1866.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
1831.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
1821.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
1772.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
1757.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
1755.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
1730.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
1718.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
1684.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
1674.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
1653.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
1632.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
1621.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
1619.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
1591.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
1578.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
1575.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
1568.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
1566.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
1562.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
1558.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
1556.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
1546.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
1517.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
1515.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
1513.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
1509.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
1509.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
1509.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
1508.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
1506.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
1503.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
1501.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
1493.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
1481.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
1473.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
1472.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
1465.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
1463.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
1450.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
1439.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
1408.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
1404.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
1398.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
1394.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
1390.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
1386.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
1383.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
1382.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
1382.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
1377.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
1373.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
1373.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
1368.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
1359.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
1357.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
1353.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
1348.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
1347.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
1337.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
1333.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
1331.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
1326.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
1309.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
1303.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
1302.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
1297.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
1292.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
1287.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
1281.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
1278.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
1277.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
1277.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
1276.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
1275.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
1268.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
1266.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
1259.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
1255.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
1252.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
1248.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
1240.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
1236.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
1229.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
1226.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
1220.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
1214.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
1212.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
1198.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
1194.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
1193.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
1191.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
1189.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
1186.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
1184.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
1180.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
1177.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
1171.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
1161.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
1161.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
1158.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
1154.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
1146.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
1146.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
1145.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
1144.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
1139.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
1139.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
1135.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
1131.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
1127.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
1126.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
1120.9
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
1114.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
1106.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
1106.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
1092.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
1090.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
1089.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
1080.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
1079.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
1075.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
1074.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
1071.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
1068.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
1059.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
1052.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
1048.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
1048.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
1041.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
1030.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
1030.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
1026.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
1024.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
1012.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
1011.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
1002.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
1002.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
1000.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
993.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
991.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
991.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
988.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
984.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
982.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
981.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
979.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
975.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
975.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
960.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
953.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
950.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
943.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
941.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
932.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
930.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
916.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
913.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
908.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
903.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
883.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
881.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
873.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
864.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
863.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
856.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
852.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
847.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
847.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
845.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
840.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
835.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
829.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
822.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
820.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
817.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
805.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
801.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
795.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
787.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
777.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
768.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
762.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
756.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
723.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
717.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
709.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
696.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
688.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
685.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
672.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
669.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
665.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
648.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
643.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
639.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
632.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
609.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
598.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
54.9
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
1.4
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
1.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
1.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
1.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
1.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
1.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
1.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
1.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.9
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.9
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.9
43192517-085e-450e-9481-0a6713_D3
Tumor
0.9
8cc7e656-0152-4359-8566-0581c3
Tumor
0.7
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.7
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.7
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.7
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.7
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.7
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.7
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.7
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.7
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.6
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.6
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.5
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.5
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.5
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.5
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.5
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.5
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.5
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.5
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.4
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
b2400046-1d25-429d-a821-6040a6
Tumor
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.4
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.4
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.5
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.5
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.5
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.5
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.5
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.5
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.5
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.5
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.5
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.5
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.5
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.5
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.5
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.5
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.6
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.6
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.6
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.6
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.6
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.6
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.6
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.7
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.7
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.7
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.7
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.7
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.7
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.8
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.8
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.8
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.8
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.8
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.8
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.9
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.9
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.9
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.9
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-1.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-1.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-1.0
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-1.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-1.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-1.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-1.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-1.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-1.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-1.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-1.4
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-1.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-1.6
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-2.0
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.