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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
GPX2 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
915.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
3085.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
2957.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
2438.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
2223.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
2220.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
2205.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
2186.6
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
2117.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
2092.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
2070.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
1866.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
1858.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
1853.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
1823.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
1819.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
1815.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
1663.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
1649.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
1618.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
1607.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
1603.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
1592.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
1569.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
1520.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
1492.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
1483.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
1480.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
1466.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
1456.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
1450.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
1448.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
1442.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
1439.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
1438.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
1423.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
1414.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
1391.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
1386.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
1377.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
1347.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
1343.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
1337.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
1326.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
1324.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
1321.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
1318.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
1317.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
1308.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
1303.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
1282.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
1282.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
1273.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
1260.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
1249.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
1240.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
1227.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
1226.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
1224.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
1220.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
1213.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
1210.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
1203.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
1201.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
1199.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
1191.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
1178.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
1178.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
1174.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
1169.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
1153.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
1145.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
1133.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
1131.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
1124.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
1122.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
1121.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
1115.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
1105.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
1104.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
1102.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
1096.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
1088.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
1085.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
1075.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
1068.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
1057.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
1056.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
1054.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
1052.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
1025.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
1022.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
1022.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
1010.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
1006.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
1002.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
1002.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
1001.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
990.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
983.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
981.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
973.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
966.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
963.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
961.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
958.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
954.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
949.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
937.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
934.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
928.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
927.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
921.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
919.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
916.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
916.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
915.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
912.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
908.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
907.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
906.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
905.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
898.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
883.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
881.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
881.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
877.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
872.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
870.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
862.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
861.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
852.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
849.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
846.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
844.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
840.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
829.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
826.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
823.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
815.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
808.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
801.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
800.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
792.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
774.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
770.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
769.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
768.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
767.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
765.6
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
762.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
760.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
747.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
741.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
741.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
740.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
728.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
723.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
720.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
718.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
718.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
712.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
708.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
706.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
703.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
702.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
699.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
698.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
693.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
692.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
690.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
690.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
685.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
668.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
658.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
658.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
655.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
645.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
643.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
640.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
616.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
613.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
612.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
605.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
599.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
580.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
555.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
550.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
543.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
538.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
529.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
529.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
526.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
526.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
523.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
509.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
508.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
502.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
499.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
496.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
486.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
485.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
480.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
474.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
474.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
466.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
464.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
460.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
459.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
449.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
447.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
446.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
435.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
432.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
425.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
421.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
421.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
415.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
414.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
398.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
395.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
381.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
376.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
366.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
364.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
350.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
350.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
341.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
340.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
339.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
335.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
335.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
328.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
310.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
309.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
303.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
296.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
286.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
284.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
279.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
276.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
270.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
265.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
219.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
212.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
207.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
203.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
195.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
133.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
124.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
105.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
94.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
83.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
24.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 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.
GPX2 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
832.3
Number of samples
486
Samples
Sample
Description
TPM
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
2675.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
2530.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
2262.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
2197.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
1969.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
1941.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
1876.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
1859.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
1794.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
1794.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
1793.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
1778.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
1740.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
1737.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
1732.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
1717.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
1689.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
1687.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
1674.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
1659.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
1651.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
1639.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
1622.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
1611.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
1604.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
1583.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
1583.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
1578.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
1562.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
1558.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
1555.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
1554.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
1535.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
1530.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
1514.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
1499.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
1497.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
1479.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
1442.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
1433.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
1430.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
1425.3
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
1424.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
1419.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
1413.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
1409.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
1400.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
1392.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
1380.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
1379.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
1378.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
1367.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
1362.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
1343.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
1336.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
1335.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
1330.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
1323.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
1318.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
1316.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
1315.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
1314.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
1311.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
1307.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
1302.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
1300.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
1298.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
1296.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
1295.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
1287.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
1286.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
1277.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
1277.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
1275.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
1275.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
1274.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
1272.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
1268.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
1257.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
1250.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
1248.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
1242.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
1238.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
1237.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
1233.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
1233.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
1226.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
1219.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
1212.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
1211.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
1202.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
1202.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
1198.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
1194.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
1188.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
1185.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
1185.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
1182.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
1178.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
1165.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
1162.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
1160.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
1157.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
1155.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
1154.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
1152.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
1145.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
1142.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
1142.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
1136.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
1135.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
1130.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
1129.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
1128.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
1115.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
1113.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
1110.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
1109.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
1107.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
1104.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
1101.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
1100.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
1096.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
1090.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
1088.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
1079.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
1073.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
1072.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
1065.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
1064.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
1063.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
1062.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
1061.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
1049.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
1049.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
1044.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
1040.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
1033.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
1031.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
1030.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
1029.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
1026.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
1023.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
1020.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
1019.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
1015.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
1015.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
1015.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
1015.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
1014.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
1012.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
1009.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
1004.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
1003.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
1003.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
1002.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
996.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
994.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
994.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
992.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
991.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
991.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
983.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
982.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
981.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
978.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
974.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
974.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
972.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
968.0
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
964.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
959.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
957.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
957.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
955.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
954.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
952.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
951.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
945.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
941.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
941.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
938.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
935.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
932.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
925.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
923.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
922.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
917.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
912.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
911.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
909.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
906.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
903.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
900.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
899.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
897.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
896.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
895.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
895.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
891.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
890.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
889.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
886.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
885.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
883.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
881.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
875.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
874.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
873.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
870.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
867.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
867.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
866.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
865.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
861.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
860.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
859.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
856.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
854.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
851.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
848.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
848.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
847.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
847.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
844.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
844.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
843.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
838.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
837.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
832.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
825.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
823.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
823.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
819.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
817.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
814.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
813.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
812.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
810.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
804.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
798.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
795.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
794.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
794.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
788.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
783.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
781.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
780.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
780.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
779.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
770.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
769.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
767.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
761.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
761.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
758.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
758.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
757.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
756.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
756.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
753.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
750.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
748.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
747.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
742.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
740.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
738.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
736.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
736.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
734.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
732.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
730.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
729.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
729.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
728.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
727.4
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
727.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
726.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
726.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
718.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
717.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
715.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
709.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
704.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
703.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
703.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
700.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
699.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
695.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
693.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
693.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
691.2
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
687.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
686.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
682.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
681.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
681.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
680.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
677.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
675.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
673.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
670.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
668.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
668.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
667.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
666.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
666.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
662.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
659.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
658.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
657.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
651.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
650.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
650.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
648.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
642.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
637.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
635.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
632.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
632.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
630.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
627.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
625.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
621.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
621.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
620.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
618.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
613.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
613.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
612.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
604.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
604.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
604.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
595.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
589.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
580.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
578.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
578.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
577.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
575.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
573.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
571.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
564.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
562.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
562.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
561.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
558.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
549.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
547.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
546.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
546.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
546.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
544.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
544.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
544.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
544.2
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
540.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
538.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
537.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
535.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
534.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
532.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
532.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
531.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
529.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
527.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
526.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
520.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
517.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
506.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
506.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
504.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
499.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
496.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
492.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
491.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
490.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
486.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
483.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
482.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
480.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
478.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
475.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
474.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
470.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
469.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
468.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
467.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
465.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
464.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
457.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
451.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
450.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
444.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
444.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
443.0
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
439.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
435.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
434.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
426.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
426.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
424.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
418.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
418.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
415.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
415.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
411.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
405.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
405.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
399.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
397.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
393.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
392.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
389.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
383.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
376.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
374.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
373.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
359.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
353.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
351.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
348.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
346.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
345.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
342.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
341.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
334.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
331.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
327.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
319.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
313.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
310.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
309.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
296.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
294.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
294.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
293.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
291.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
291.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
289.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
287.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
285.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
280.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
273.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
271.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
258.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
250.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
250.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
248.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
248.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
243.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
239.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
239.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
231.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
230.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
218.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
218.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
215.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
215.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
204.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
203.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
194.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
180.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
179.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
176.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
168.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
167.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
165.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
161.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
160.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
154.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
152.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
146.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
144.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
142.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
140.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
137.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
137.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
124.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
89.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
71.9
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
42.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
36.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
25.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
8.6
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.
GPX2 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
948.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
2139.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
1891.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
1878.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
1734.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
1703.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
1668.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
1650.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
1618.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
1560.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
1555.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
1552.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
1485.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
1469.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
1444.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
1410.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
1339.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
1338.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
1300.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
1293.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
1232.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
1214.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
1204.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
1190.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
1173.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
1168.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
1168.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
1163.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
1163.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
1107.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
1061.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
1056.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
1055.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
1043.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
1040.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
1012.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
1008.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
994.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
977.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
951.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
941.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
937.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
934.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
929.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
907.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
898.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
879.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
858.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
825.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
824.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
822.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
815.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
806.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
804.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
800.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
784.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
769.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
765.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
756.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
742.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
739.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
734.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
691.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
681.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
672.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
670.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
651.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
646.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
643.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
634.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
586.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
558.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
537.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
514.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
508.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
501.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
481.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
478.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
462.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
453.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
452.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
432.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
416.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
347.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
334.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
287.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
236.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
131.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 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.
GPX2 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
805.0
Number of samples
207
Samples
Sample
Description
TPM
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
2127.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
2116.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
1913.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
1897.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
1767.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
1730.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
1683.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
1669.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
1669.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
1653.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
1643.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
1600.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
1599.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
1575.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
1554.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
1546.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
1516.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
1383.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
1360.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
1345.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
1345.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
1274.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
1233.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
1229.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
1214.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
1213.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
1201.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
1196.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
1195.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
1173.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
1162.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
1158.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
1127.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
1125.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
1120.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
1116.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
1080.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
1077.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
1076.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
1076.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
1069.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
1064.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
1063.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
1062.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
1047.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
1036.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
1031.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
1023.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
1020.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
1017.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
1011.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
1005.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
1004.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
982.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
980.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
979.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
973.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
971.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
969.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
966.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
962.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
960.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
959.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
950.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
948.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
945.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
944.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
938.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
937.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
936.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
933.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
932.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
924.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
912.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
912.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
906.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
900.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
895.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
890.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
886.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
885.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
882.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
881.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
871.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
857.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
857.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
846.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
846.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
845.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
844.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
844.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
828.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
813.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
809.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
803.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
799.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
796.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
795.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
792.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
792.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
777.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
772.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
771.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
765.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
760.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
746.7
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
740.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
722.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
719.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
710.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
709.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
700.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
699.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
697.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
696.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
695.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
693.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
688.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
686.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
680.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
677.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
676.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
652.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
648.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
643.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
627.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
623.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
622.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
613.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
610.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
610.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
608.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
608.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
600.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
597.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
596.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
595.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
592.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
579.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
577.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
576.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
575.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
575.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
573.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
571.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
564.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
561.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
558.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
551.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
550.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
546.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
546.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
545.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
533.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
526.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
526.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
522.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
516.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
516.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
514.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
514.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
508.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
508.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
500.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
498.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
496.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
488.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
472.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
469.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
436.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
432.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
420.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
417.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
413.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
412.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
406.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
403.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
403.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
400.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
397.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
395.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
388.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
384.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
368.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
362.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
351.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
343.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
334.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
331.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
326.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
325.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
316.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
299.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
293.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
277.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
272.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
267.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
265.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
259.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
251.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
233.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
216.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
210.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
200.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
180.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
128.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
7.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
1.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
1.3
43192517-085e-450e-9481-0a6713_D3
Tumor
1.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
1.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
1.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
1.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
1.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
1.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
1.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.9
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.8
8cc7e656-0152-4359-8566-0581c3
Tumor
0.8
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.8
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.7
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.7
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.7
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.7
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.7
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.7
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.7
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.6
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.6
b2400046-1d25-429d-a821-6040a6
Tumor
0.6
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.6
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.5
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.5
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.5
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.5
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.5
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.5
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.5
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.5
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.5
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.5
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.5
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.4
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.4
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.4
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.4
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.5
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.5
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.5
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.5
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.5
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.5
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.5
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.5
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.5
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.5
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.5
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.5
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.5
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.5
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.5
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.5
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.5
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.6
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.6
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.6
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.6
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.6
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.6
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.6
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.6
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.6
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.6
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.6
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.6
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.6
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.7
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.7
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.7
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.7
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.7
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.7
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.7
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.7
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.7
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.7
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.7
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.8
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.8
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.8
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.8
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.8
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.8
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.8
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.8
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.8
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.8
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.8
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.9
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.9
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.9
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.9
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.9
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.9
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-1.0
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-1.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-1.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-1.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-1.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-1.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-1.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-1.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-1.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-1.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-1.4
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-1.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-1.5
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-1.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-1.8
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.