We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
RPL36 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
1928.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
6832.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
4080.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
4003.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
3967.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
3870.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
3810.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
3701.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
3382.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
3371.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
3366.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
3243.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
3232.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
3227.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
3168.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
3085.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
3081.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
3072.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
3061.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
3002.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
2969.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
2939.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
2884.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
2879.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
2835.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
2831.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
2790.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
2653.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
2624.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
2616.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
2586.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
2555.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
2539.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
2533.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
2517.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
2503.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
2500.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
2474.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
2460.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
2455.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
2449.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
2423.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
2416.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
2412.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
2410.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
2393.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
2392.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
2391.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
2389.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
2389.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
2372.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
2363.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
2346.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
2325.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
2321.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
2314.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
2294.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
2291.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
2280.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
2267.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
2264.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
2256.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
2255.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
2208.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
2202.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
2196.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
2195.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
2192.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
2184.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
2184.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
2157.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
2140.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
2126.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
2126.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
2124.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
2122.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
2121.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
2118.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
2117.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
2111.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
2107.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
2101.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
2095.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
2089.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
2088.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
2082.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
2079.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
2073.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
2071.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
2070.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
2067.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
2067.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
2065.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
2065.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
2063.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
2061.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
2057.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
2048.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
2048.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
2012.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
2004.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
1999.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
1996.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
1996.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
1995.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
1986.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
1981.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
1976.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
1939.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
1932.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
1919.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
1912.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
1910.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
1902.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
1900.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
1891.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
1888.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
1886.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
1884.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
1874.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
1867.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
1866.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
1858.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
1847.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
1834.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
1833.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
1831.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
1820.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
1817.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
1809.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
1808.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
1806.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
1805.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
1790.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
1790.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
1787.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
1779.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
1778.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
1778.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
1775.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
1772.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
1771.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
1767.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
1765.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
1753.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
1744.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
1737.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
1707.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
1706.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
1700.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
1690.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
1688.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
1684.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
1680.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
1675.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
1671.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
1658.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
1649.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
1645.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
1640.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
1637.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
1636.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
1633.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
1630.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
1619.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
1618.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
1617.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
1613.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
1609.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
1608.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
1606.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
1603.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
1592.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
1590.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
1580.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
1576.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
1569.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
1555.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
1543.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
1540.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
1530.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
1529.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
1511.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
1509.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
1507.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
1503.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
1500.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
1490.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
1488.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
1484.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
1479.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
1479.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
1468.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
1467.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
1466.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
1464.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
1461.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
1453.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
1449.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
1445.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
1432.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
1432.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
1431.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
1428.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
1425.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
1422.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
1415.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
1403.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
1401.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
1386.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
1382.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
1370.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
1370.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
1362.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
1350.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
1323.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
1320.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
1317.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
1278.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
1273.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
1262.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
1257.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
1256.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
1240.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
1239.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
1237.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
1219.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
1216.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
1212.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
1206.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
1202.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
1193.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
1189.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
1177.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
1161.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
1159.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
1149.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
1143.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
1141.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
1100.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
1071.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
1060.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
1006.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
973.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
970.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
969.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
955.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
946.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
916.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
877.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
852.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
831.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
796.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
780.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 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.
RPL36 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
786.6
Number of samples
486
Samples
Sample
Description
TPM
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
1722.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
1707.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
1618.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
1544.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
1516.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
1512.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
1480.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
1477.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
1465.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
1453.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
1377.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
1376.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
1376.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
1375.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
1370.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
1362.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
1350.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
1324.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
1324.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
1298.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
1286.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
1283.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
1269.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
1263.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
1245.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
1243.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
1238.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
1225.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
1222.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
1217.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
1213.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
1191.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
1187.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
1185.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
1184.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
1183.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
1181.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
1180.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
1167.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
1152.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
1148.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
1143.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
1139.8
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
1134.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
1123.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
1121.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
1113.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
1113.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
1108.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
1107.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
1098.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
1096.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
1089.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
1087.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
1083.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
1082.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
1080.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
1078.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
1072.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
1069.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
1069.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
1067.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
1056.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
1053.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
1053.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
1048.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
1047.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
1047.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
1041.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
1039.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
1038.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
1036.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
1034.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
1034.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
1030.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
1026.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
1024.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
1023.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
1012.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
1011.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
1010.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
1010.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
1007.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
1006.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
1006.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
1002.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
998.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
998.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
996.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
994.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
994.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
992.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
988.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
987.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
985.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
983.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
981.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
980.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
978.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
974.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
968.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
967.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
966.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
964.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
963.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
960.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
958.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
957.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
955.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
952.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
949.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
946.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
941.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
937.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
935.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
935.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
934.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
934.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
933.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
930.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
930.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
930.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
930.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
930.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
923.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
920.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
913.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
912.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
912.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
912.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
911.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
909.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
907.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
907.5
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
907.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
905.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
904.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
902.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
901.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
898.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
897.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
896.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
895.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
892.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
890.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
888.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
888.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
887.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
886.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
885.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
882.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
878.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
877.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
877.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
874.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
872.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
869.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
868.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
863.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
863.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
857.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
857.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
856.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
856.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
856.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
856.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
855.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
853.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
852.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
849.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
848.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
846.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
843.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
843.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
842.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
839.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
839.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
835.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
833.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
833.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
830.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
830.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
830.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
826.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
825.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
825.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
825.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
822.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
819.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
818.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
816.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
816.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
816.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
815.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
812.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
812.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
810.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
809.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
808.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
807.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
806.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
805.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
805.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
805.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
802.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
802.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
802.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
801.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
801.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
800.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
799.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
795.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
794.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
793.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
790.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
788.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
788.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
787.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
786.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
786.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
785.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
780.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
778.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
778.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
776.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
775.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
774.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
774.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
770.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
769.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
766.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
764.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
763.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
761.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
761.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
758.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
758.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
757.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
756.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
753.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
752.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
750.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
747.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
745.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
745.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
745.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
744.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
744.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
743.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
740.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
739.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
739.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
737.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
737.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
736.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
736.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
734.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
733.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
732.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
732.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
730.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
728.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
727.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
726.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
725.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
724.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
723.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
721.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
721.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
717.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
717.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
717.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
716.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
716.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
716.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
714.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
712.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
710.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
709.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
708.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
708.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
708.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
707.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
704.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
704.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
704.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
704.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
703.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
702.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
702.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
702.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
700.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
699.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
698.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
695.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
695.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
695.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
694.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
691.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
691.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
690.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
690.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
689.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
689.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
687.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
686.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
685.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
682.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
680.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
680.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
677.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
677.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
677.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
674.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
673.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
672.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
670.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
669.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
667.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
667.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
664.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
664.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
661.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
658.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
657.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
657.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
652.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
650.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
647.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
646.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
646.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
646.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
644.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
643.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
643.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
642.9
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
642.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
642.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
641.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
640.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
639.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
639.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
639.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
637.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
636.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
634.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
634.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
633.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
633.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
632.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
632.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
628.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
626.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
625.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
625.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
620.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
619.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
619.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
619.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
619.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
616.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
613.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
613.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
611.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
608.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
608.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
607.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
607.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
607.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
604.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
603.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
600.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
600.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
598.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
594.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
594.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
593.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
591.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
590.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
588.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
587.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
587.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
584.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
584.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
584.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
583.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
582.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
580.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
579.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
577.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
577.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
575.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
575.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
574.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
573.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
572.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
569.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
569.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
569.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
568.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
566.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
566.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
565.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
560.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
560.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
558.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
556.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
556.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
553.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
551.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
550.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
549.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
549.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
547.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
544.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
542.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
541.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
539.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
537.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
534.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
531.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
529.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
529.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
529.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
526.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
525.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
525.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
523.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
520.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
518.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
518.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
517.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
517.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
514.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
513.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
509.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
509.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
503.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
502.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
501.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
501.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
500.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
493.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
492.2
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
491.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
490.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
488.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
482.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
481.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
479.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
477.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
474.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
472.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
471.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
463.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
462.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
455.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
450.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
447.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
443.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
442.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
439.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
439.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
432.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
431.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
431.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
429.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
427.9
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
419.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
418.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
417.8
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
414.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
410.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
404.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
389.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
386.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
378.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
378.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
377.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
373.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
361.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
360.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
314.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
304.3
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
74.5
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.
RPL36 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
1931.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
9285.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
5174.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
4357.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
3533.8
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
3436.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
2902.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
2864.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
2838.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
2793.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
2691.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
2676.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
2408.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
2375.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
2363.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
2353.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
2322.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
2286.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
2255.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
2254.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
2252.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
2209.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
2122.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
2104.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
2089.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
2080.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
2061.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
2044.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
2025.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
2015.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
1989.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
1978.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
1978.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
1952.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
1949.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
1931.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
1879.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
1876.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
1845.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
1799.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
1792.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
1774.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
1750.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
1740.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
1725.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
1702.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
1696.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
1681.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
1679.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
1666.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
1658.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
1649.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
1643.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
1636.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
1616.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
1606.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
1589.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
1580.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
1556.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
1533.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
1525.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
1511.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
1508.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
1485.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
1475.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
1470.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
1431.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
1390.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
1359.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
1349.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
1326.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
1299.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
1294.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
1248.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
1232.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
1209.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
1171.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
1170.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
1106.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
1101.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
1080.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
1054.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
987.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
969.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
964.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
961.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
927.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
922.0
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.
RPL36 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
660.3
Number of samples
207
Samples
Sample
Description
TPM
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
1452.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
1421.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
1329.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
1310.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
1305.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
1266.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
1117.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
1102.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
1083.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
1078.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
1066.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
1064.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
1032.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
1031.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
1022.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
1017.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
1014.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
1006.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
993.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
983.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
982.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
982.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
965.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
962.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
959.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
956.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
949.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
930.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
914.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
888.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
883.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
877.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
876.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
869.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
863.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
829.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
819.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
818.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
812.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
807.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
798.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
797.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
794.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
793.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
786.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
785.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
783.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
781.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
779.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
779.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
775.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
775.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
773.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
772.9
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
772.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
770.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
768.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
757.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
755.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
754.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
751.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
750.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
749.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
744.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
743.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
739.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
738.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
726.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
725.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
724.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
723.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
722.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
721.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
714.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
712.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
709.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
707.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
706.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
706.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
705.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
703.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
702.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
702.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
696.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
694.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
689.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
686.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
685.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
678.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
678.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
675.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
673.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
667.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
665.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
665.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
664.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
660.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
644.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
640.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
639.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
638.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
637.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
636.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
631.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
631.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
631.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
630.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
629.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
626.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
623.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
622.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
622.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
617.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
612.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
609.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
601.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
600.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
600.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
592.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
592.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
589.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
588.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
587.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
584.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
582.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
581.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
573.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
572.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
572.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
572.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
569.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
569.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
566.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
563.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
562.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
559.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
557.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
557.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
557.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
547.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
546.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
546.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
545.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
542.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
541.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
538.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
534.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
529.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
524.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
523.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
522.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
520.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
513.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
509.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
505.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
498.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
497.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
493.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
489.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
485.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
485.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
485.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
481.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
479.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
476.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
476.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
472.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
471.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
469.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
465.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
452.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
447.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
446.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
444.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
442.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
434.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
434.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
433.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
433.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
430.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
428.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
425.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
420.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
417.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
415.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
390.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
387.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
377.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
377.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
375.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
357.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
351.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
350.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
350.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
339.7
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
332.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
322.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
321.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
312.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
293.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
289.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
284.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
281.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
281.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
275.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
255.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
48.1
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.7
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.6
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.6
43192517-085e-450e-9481-0a6713_D3
Tumor
0.6
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.5
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.5
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.5
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.5
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.4
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.4
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.3
b2400046-1d25-429d-a821-6040a6
Tumor
-0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.5
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.5
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.5
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.6
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.6
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.7
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.8
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.8
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.8
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.9
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.9
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.9
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.