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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.
RPS15A 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
2215.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
4137.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
4111.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
3917.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
3905.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
3731.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
3660.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
3528.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
3461.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
3438.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
3423.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
3384.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
3371.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
3329.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
3316.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
3305.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
3290.5
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
3246.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
3198.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
3192.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
3159.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
3146.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
3100.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
3072.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
3049.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
3042.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
3031.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
3030.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
3029.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
2984.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
2957.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
2956.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
2947.1
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
2881.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
2878.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
2867.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
2849.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
2847.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
2845.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
2810.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
2798.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
2791.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
2786.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
2778.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
2764.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
2732.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
2729.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
2719.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
2713.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
2710.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
2702.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
2701.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
2693.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
2690.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
2661.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
2657.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
2640.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
2620.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
2620.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
2615.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
2610.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
2596.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
2589.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
2574.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
2573.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
2566.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
2561.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
2546.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
2539.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
2536.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
2512.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
2508.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
2492.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
2471.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
2452.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
2437.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
2429.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
2427.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
2411.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
2410.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
2407.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
2397.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
2394.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
2385.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
2381.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
2380.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
2378.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
2377.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
2377.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
2367.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
2360.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
2359.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
2357.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
2349.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
2349.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
2346.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
2336.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
2329.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
2317.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
2315.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
2303.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
2294.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
2292.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
2271.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
2269.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
2266.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
2264.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
2253.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
2246.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
2236.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
2225.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
2215.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
2215.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
2214.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
2209.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
2205.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
2199.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
2196.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
2191.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
2182.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
2179.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
2179.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
2173.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
2171.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
2170.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
2152.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
2145.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
2133.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
2132.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
2113.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
2106.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
2093.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
2088.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
2086.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
2081.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
2048.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
2043.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
2027.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
2024.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
2020.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
2016.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
2010.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
2010.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
2004.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
2001.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
1989.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
1987.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
1986.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
1984.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
1976.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
1976.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
1974.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
1966.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
1960.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
1950.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
1947.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
1946.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
1940.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
1940.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
1939.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
1924.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
1918.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
1902.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
1901.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
1897.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
1897.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
1894.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
1890.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
1886.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
1884.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
1879.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
1874.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
1865.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
1861.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
1856.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
1854.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
1851.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
1848.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
1847.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
1847.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
1843.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
1843.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
1842.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
1826.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
1825.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
1825.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
1814.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
1811.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
1802.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
1799.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
1798.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
1796.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
1790.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
1787.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
1781.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
1779.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
1778.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
1771.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
1761.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
1757.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
1756.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
1755.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
1755.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
1753.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
1726.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
1726.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
1725.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
1720.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
1718.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
1713.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
1705.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
1702.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
1700.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
1693.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
1685.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
1684.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
1683.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
1666.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
1666.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
1651.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
1646.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
1640.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
1640.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
1634.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
1633.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
1629.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
1621.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
1614.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
1613.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
1577.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
1566.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
1564.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
1561.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
1550.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
1533.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
1510.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
1470.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
1465.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
1463.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
1437.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
1420.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
1414.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
1396.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
1373.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
1368.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
1367.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
1364.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
1350.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
1274.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
1265.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
1220.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
1219.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
1117.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
1091.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 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.
RPS15A 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
740.8
Number of samples
486
Samples
Sample
Description
TPM
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
1894.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
1655.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
1510.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
1481.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
1459.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
1443.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
1374.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
1320.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
1308.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
1296.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
1289.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
1288.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
1288.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
1255.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
1245.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
1232.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
1187.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
1180.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
1173.4
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
1164.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
1158.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
1155.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
1154.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
1150.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
1149.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
1147.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
1146.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
1132.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
1125.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
1124.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
1124.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
1119.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
1112.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
1102.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
1102.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
1099.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
1087.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
1083.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
1078.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
1071.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
1070.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
1067.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
1066.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
1055.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
1053.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
1049.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
1046.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
1037.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
1034.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
1034.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
1033.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
1032.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
1028.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
1028.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
1027.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
1027.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
1026.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
1019.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
1018.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
1017.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
1014.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
1012.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
1010.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
1007.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
1002.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
1000.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
998.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
997.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
993.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
993.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
992.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
992.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
989.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
988.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
984.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
979.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
979.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
979.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
978.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
976.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
973.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
972.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
972.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
963.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
962.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
961.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
952.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
947.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
943.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
941.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
939.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
937.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
936.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
935.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
935.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
933.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
933.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
930.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
930.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
929.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
927.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
917.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
917.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
914.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
914.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
913.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
913.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
912.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
911.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
909.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
909.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
906.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
898.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
893.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
893.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
890.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
888.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
886.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
884.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
879.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
878.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
876.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
876.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
875.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
873.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
872.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
867.5
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
867.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
857.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
857.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
856.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
854.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
853.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
852.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
849.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
846.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
845.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
845.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
845.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
843.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
843.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
843.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
839.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
838.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
838.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
837.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
837.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
834.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
834.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
833.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
831.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
831.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
830.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
830.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
830.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
829.9
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
829.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
827.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
823.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
821.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
820.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
820.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
819.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
818.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
818.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
814.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
813.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
810.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
808.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
808.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
808.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
808.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
807.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
806.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
804.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
803.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
800.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
799.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
799.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
798.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
798.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
798.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
798.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
797.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
795.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
793.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
788.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
787.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
786.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
784.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
783.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
783.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
783.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
780.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
778.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
776.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
775.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
775.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
774.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
774.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
773.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
767.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
766.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
764.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
764.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
764.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
763.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
762.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
761.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
759.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
759.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
758.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
757.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
757.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
756.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
750.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
749.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
747.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
744.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
744.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
743.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
743.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
739.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
736.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
734.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
731.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
730.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
729.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
729.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
728.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
727.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
725.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
724.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
723.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
721.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
719.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
718.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
718.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
718.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
717.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
709.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
709.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
709.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
708.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
708.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
708.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
708.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
708.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
707.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
704.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
703.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
703.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
702.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
700.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
698.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
698.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
697.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
695.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
693.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
693.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
691.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
688.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
688.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
686.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
685.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
684.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
681.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
675.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
675.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
674.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
674.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
673.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
672.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
672.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
670.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
670.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
670.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
668.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
666.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
666.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
664.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
663.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
663.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
662.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
662.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
661.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
659.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
659.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
657.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
656.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
656.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
653.9
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
653.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
651.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
651.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
651.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
647.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
647.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
646.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
645.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
641.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
640.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
638.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
638.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
637.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
637.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
635.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
635.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
634.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
633.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
633.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
632.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
631.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
630.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
629.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
629.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
628.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
628.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
627.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
626.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
624.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
623.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
622.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
621.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
621.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
620.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
619.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
618.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
617.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
616.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
616.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
614.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
612.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
612.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
610.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
610.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
608.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
608.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
608.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
606.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
605.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
604.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
604.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
602.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
600.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
596.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
595.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
595.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
595.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
591.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
591.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
589.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
588.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
587.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
585.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
584.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
584.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
582.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
580.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
580.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
578.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
577.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
575.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
573.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
572.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
570.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
569.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
568.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
568.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
568.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
568.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
568.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
566.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
565.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
565.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
564.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
564.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
563.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
562.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
557.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
556.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
555.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
553.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
553.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
550.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
550.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
549.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
548.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
548.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
547.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
547.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
545.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
545.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
545.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
544.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
544.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
544.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
542.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
540.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
540.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
535.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
534.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
533.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
533.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
529.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
528.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
527.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
521.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
520.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
516.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
514.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
514.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
513.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
512.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
512.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
509.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
507.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
507.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
506.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
505.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
504.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
503.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
502.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
501.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
493.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
492.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
491.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
488.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
482.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
481.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
480.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
480.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
477.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
475.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
463.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
463.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
459.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
458.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
451.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
450.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
444.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
442.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
442.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
441.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
439.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
439.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
439.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
439.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
433.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
433.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
432.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
431.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
430.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
430.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
427.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
427.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
424.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
415.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
415.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
415.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
414.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
409.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
407.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
402.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
402.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
401.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
397.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
392.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
389.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
387.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
380.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
379.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
374.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
370.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
369.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
367.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
365.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
357.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
334.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
329.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
329.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
319.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
302.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
287.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
26.2
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RPS15A 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
2339.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
4236.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
3620.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
3471.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
3450.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
3390.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
3379.8
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
3342.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
3328.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
3318.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
3303.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
3238.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
3134.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
3134.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
3058.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
3055.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
3024.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
2995.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
2949.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
2904.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
2869.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
2851.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
2754.4
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
2661.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
2614.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
2579.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
2572.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
2564.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
2473.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
2451.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
2447.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
2444.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
2443.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
2429.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
2427.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
2403.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
2401.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
2381.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
2360.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
2344.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
2298.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
2285.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
2285.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
2280.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
2269.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
2265.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
2254.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
2245.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
2239.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
2234.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
2219.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
2217.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
2214.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
2202.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
2192.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
2177.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
2159.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
2117.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
2091.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
2089.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
2085.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
2052.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
1998.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
1980.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
1972.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
1972.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
1918.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
1841.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
1837.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
1829.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
1794.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
1742.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
1706.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
1697.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
1696.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
1691.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
1687.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
1676.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
1653.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
1639.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
1629.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
1561.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
1557.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
1531.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
1518.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
1366.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
1160.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
1117.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 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.
RPS15A 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
620.2
Number of samples
207
Samples
Sample
Description
TPM
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
1501.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
1434.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
1426.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
1294.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
1278.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
1151.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
1144.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
1091.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
1079.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
1072.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
1049.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
1037.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
1031.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
1015.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
997.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
981.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
980.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
976.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
971.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
958.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
958.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
937.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
911.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
908.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
907.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
893.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
883.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
849.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
843.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
834.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
832.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
804.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
801.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
793.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
792.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
791.2
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
787.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
787.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
782.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
781.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
780.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
776.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
769.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
766.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
765.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
760.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
759.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
757.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
756.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
748.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
744.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
742.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
740.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
735.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
727.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
726.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
716.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
716.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
716.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
716.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
712.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
710.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
708.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
705.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
691.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
686.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
677.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
673.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
671.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
666.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
666.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
665.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
661.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
659.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
658.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
651.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
651.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
650.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
647.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
645.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
641.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
641.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
640.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
640.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
638.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
636.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
636.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
633.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
633.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
632.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
630.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
627.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
624.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
623.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
616.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
611.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
607.9
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
605.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
604.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
604.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
603.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
600.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
595.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
590.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
589.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
589.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
588.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
586.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
583.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
578.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
577.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
572.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
569.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
568.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
562.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
560.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
558.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
556.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
542.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
541.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
540.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
534.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
533.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
532.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
530.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
525.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
522.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
519.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
518.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
517.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
517.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
516.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
515.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
512.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
511.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
506.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
505.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
505.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
503.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
503.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
500.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
497.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
490.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
490.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
488.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
486.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
479.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
477.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
476.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
475.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
473.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
469.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
467.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
464.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
463.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
461.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
461.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
457.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
452.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
452.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
452.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
449.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
448.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
444.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
433.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
433.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
426.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
422.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
422.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
419.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
417.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
416.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
406.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
406.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
406.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
404.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
401.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
400.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
395.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
386.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
374.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
364.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
360.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
355.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
351.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
346.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
345.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
340.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
330.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
326.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
325.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
322.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
320.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
319.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
318.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
312.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
310.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
308.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
306.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
302.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
297.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
291.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
285.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
282.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
267.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
248.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
38.1
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.6
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.6
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.5
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.5
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.4
b2400046-1d25-429d-a821-6040a6
Tumor
0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.3
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Tumor
0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
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Tumor
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
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Tumor
0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
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Tumor
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
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Tumor
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
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Tumor
0.0
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Normal
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.0
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
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Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.4
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.4
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.4
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.4
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.5
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.5
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.5
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.6
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.7
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.7
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.