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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.
FXYD3 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
1002.5
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
3731.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
3598.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
3303.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
2884.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
2819.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
2709.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
2551.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
2477.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
2305.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
2288.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
2189.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
2180.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
2124.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
2115.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
2114.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
2112.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
2098.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
2075.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
2052.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
2033.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
2003.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
1992.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
1986.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
1958.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
1953.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
1942.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
1935.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
1918.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
1898.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
1883.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
1834.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
1823.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
1767.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
1759.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
1757.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
1746.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
1711.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
1691.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
1677.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
1670.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
1670.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
1669.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
1650.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
1641.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
1633.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
1632.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
1624.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
1600.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
1569.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
1528.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
1500.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
1475.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
1463.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
1459.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
1424.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
1416.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
1414.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
1406.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
1395.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
1393.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
1393.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
1384.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
1362.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
1349.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
1342.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
1298.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
1292.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
1250.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
1246.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
1240.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
1239.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
1235.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
1233.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
1232.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
1219.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
1202.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
1200.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
1199.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
1189.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
1186.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
1173.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
1169.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
1167.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
1159.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
1154.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
1139.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
1136.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
1131.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
1122.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
1116.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
1109.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
1106.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
1091.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
1073.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
1069.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
1048.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
1047.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
1046.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
1046.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
1041.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
1040.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
1039.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
1037.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
1034.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
1032.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
1021.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
1016.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
1013.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
988.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
984.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
984.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
973.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
972.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
952.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
951.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
950.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
947.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
945.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
944.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
944.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
934.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
931.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
925.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
925.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
916.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
915.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
906.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
905.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
903.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
886.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
872.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
866.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
855.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
855.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
822.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
818.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
809.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
808.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
803.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
801.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
794.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
788.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
776.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
774.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
767.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
761.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
751.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
751.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
747.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
741.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
740.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
733.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
727.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
718.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
715.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
714.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
714.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
711.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
706.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
702.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
699.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
696.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
687.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
680.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
679.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
663.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
661.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
651.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
630.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
621.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
618.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
615.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
613.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
611.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
598.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
594.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
588.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
586.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
578.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
576.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
568.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
560.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
534.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
532.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
518.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
515.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
515.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
514.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
512.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
506.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
505.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
494.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
493.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
488.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
487.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
476.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
467.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
466.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
457.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
456.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
453.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
450.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
449.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
444.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
418.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
412.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
411.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
400.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
400.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
394.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
389.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
380.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
380.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
378.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
367.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
364.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
364.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
362.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
360.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
357.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
354.5
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
320.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
316.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
315.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
299.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
298.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
297.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
297.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
292.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
289.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
259.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
257.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
256.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
255.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
248.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
233.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
223.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
213.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
208.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
199.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
179.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
173.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
170.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
165.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
145.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
132.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
132.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
131.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
125.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
124.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
119.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
62.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
52.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 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.
FXYD3 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
408.6
Number of samples
486
Samples
Sample
Description
TPM
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
2505.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
1646.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
1530.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
1430.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
1232.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
1228.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
1204.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
1183.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
1143.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
1123.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
1101.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
1078.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
1077.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
1038.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
1026.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
1018.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
996.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
923.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
921.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
901.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
900.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
899.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
886.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
877.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
873.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
856.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
856.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
833.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
828.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
828.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
825.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
823.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
822.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
819.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
815.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
810.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
808.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
801.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
791.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
782.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
776.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
769.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
756.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
750.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
746.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
740.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
738.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
735.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
734.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
731.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
721.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
721.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
712.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
705.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
699.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
691.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
686.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
683.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
677.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
671.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
670.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
668.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
666.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
659.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
657.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
654.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
652.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
651.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
647.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
646.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
640.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
640.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
636.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
635.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
627.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
623.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
622.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
620.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
619.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
615.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
613.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
612.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
610.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
609.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
602.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
600.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
597.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
592.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
590.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
589.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
587.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
585.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
585.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
584.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
582.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
582.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
582.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
580.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
579.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
578.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
577.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
577.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
575.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
574.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
567.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
567.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
566.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
564.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
563.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
562.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
562.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
560.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
560.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
559.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
559.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
556.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
551.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
549.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
548.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
547.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
546.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
545.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
538.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
537.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
532.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
529.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
524.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
521.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
515.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
514.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
513.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
508.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
507.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
505.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
504.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
503.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
499.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
496.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
493.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
493.1
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
491.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
489.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
486.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
484.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
482.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
482.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
482.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
478.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
478.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
477.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
474.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
474.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
472.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
472.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
471.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
471.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
469.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
466.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
465.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
464.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
462.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
462.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
459.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
459.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
458.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
457.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
456.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
455.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
455.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
455.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
453.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
450.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
447.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
446.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
446.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
445.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
443.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
442.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
439.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
436.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
435.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
435.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
433.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
432.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
431.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
429.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
428.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
428.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
427.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
425.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
424.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
423.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
421.2
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
420.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
418.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
417.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
416.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
416.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
415.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
415.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
413.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
412.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
412.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
411.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
411.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
408.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
405.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
404.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
403.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
402.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
400.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
398.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
396.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
395.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
394.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
393.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
393.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
391.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
386.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
384.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
383.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
383.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
382.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
379.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
377.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
377.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
375.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
372.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
372.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
371.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
366.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
365.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
365.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
364.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
364.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
363.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
362.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
361.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
360.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
359.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
359.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
359.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
358.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
357.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
356.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
354.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
353.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
351.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
351.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
351.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
349.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
349.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
349.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
348.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
347.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
345.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
344.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
342.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
341.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
338.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
338.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
337.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
337.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
337.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
335.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
334.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
332.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
332.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
332.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
331.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
331.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
329.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
326.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
325.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
324.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
321.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
321.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
319.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
316.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
315.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
314.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
313.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
313.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
313.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
313.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
312.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
312.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
310.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
309.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
308.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
308.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
308.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
307.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
303.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
303.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
303.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
301.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
300.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
300.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
299.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
298.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
296.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
293.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
292.2
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
291.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
290.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
290.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
290.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
290.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
289.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
288.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
286.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
286.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
282.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
280.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
280.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
280.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
279.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
278.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
277.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
276.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
275.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
275.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
274.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
273.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
271.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
269.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
267.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
266.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
266.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
265.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
262.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
262.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
261.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
260.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
260.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
259.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
255.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
254.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
252.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
252.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
248.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
248.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
248.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
247.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
247.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
246.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
246.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
245.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
243.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
243.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
242.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
242.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
240.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
239.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
238.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
236.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
233.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
232.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
231.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
231.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
229.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
228.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
228.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
225.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
224.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
222.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
222.2
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
221.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
220.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
219.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
219.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
218.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
218.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
218.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
217.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
217.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
216.0
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
215.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
214.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
211.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
210.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
208.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
208.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
204.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
203.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
203.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
202.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
201.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
200.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
198.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
198.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
195.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
192.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
192.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
192.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
191.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
191.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
190.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
190.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
189.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
189.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
188.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
187.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
184.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
181.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
181.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
181.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
179.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
178.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
177.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
177.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
176.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
176.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
175.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
173.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
173.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
171.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
170.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
169.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
169.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
167.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
167.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
166.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
165.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
163.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
161.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
161.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
159.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
159.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
159.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
156.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
149.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
148.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
146.9
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
142.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
139.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
133.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
130.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
129.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
128.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
128.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
124.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
123.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
118.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
115.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
115.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
115.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
113.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
111.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
109.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
109.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
101.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
99.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
98.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
96.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
96.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
91.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
91.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
89.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
88.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
87.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
86.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
85.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
84.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
84.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
81.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
80.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
72.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
69.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
67.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
57.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
50.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
46.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
42.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
42.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
41.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
39.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
36.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
33.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
33.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
30.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
24.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
24.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
6.3
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.
FXYD3 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
1003.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
3556.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
3015.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
2975.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
2691.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
2544.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
2492.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
2489.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
2305.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
2073.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
2030.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
2005.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
1859.6
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
1847.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
1760.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
1712.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
1668.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
1597.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
1579.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
1515.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
1444.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
1410.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
1366.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
1296.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
1277.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
1250.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
1203.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
1177.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
1150.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
1134.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
1134.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
1117.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
1102.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
1070.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
975.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
947.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
936.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
900.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
894.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
847.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
829.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
825.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
814.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
798.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
796.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
788.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
783.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
680.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
671.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
668.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
654.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
645.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
640.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
633.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
613.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
592.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
581.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
581.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
578.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
568.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
568.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
537.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
527.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
511.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
498.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
474.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
451.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
447.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
437.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
433.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
422.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
419.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
416.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
404.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
394.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
380.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
366.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
353.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
326.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
298.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
292.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
277.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
259.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
190.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
168.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
145.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
130.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
48.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
FXYD3 is potential prognostic, high expression is unfavorable 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
359.3
Number of samples
207
Samples
Sample
Description
TPM
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
1668.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
1402.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
1257.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
1047.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
912.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
897.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
847.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
829.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
825.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
814.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
814.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
767.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
706.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
695.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
692.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
689.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
682.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
679.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
674.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
670.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
657.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
651.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
629.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
625.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
623.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
614.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
610.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
590.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
586.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
581.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
566.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
565.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
562.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
561.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
552.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
551.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
544.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
540.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
540.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
540.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
534.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
531.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
530.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
517.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
514.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
504.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
496.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
488.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
486.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
481.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
477.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
468.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
467.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
464.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
461.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
461.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
453.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
450.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
441.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
439.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
438.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
435.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
429.9
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
425.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
424.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
422.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
419.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
419.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
416.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
413.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
409.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
408.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
400.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
400.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
396.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
396.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
379.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
378.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
377.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
374.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
371.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
368.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
364.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
364.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
364.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
363.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
358.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
357.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
354.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
352.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
352.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
346.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
342.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
338.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
335.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
329.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
328.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
328.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
325.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
325.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
323.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
322.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
318.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
313.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
308.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
304.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
300.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
298.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
297.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
292.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
292.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
286.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
285.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
279.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
278.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
276.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
272.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
272.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
264.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
264.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
262.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
258.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
257.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
256.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
249.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
246.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
244.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
244.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
242.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
241.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
241.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
239.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
239.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
239.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
235.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
234.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
230.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
229.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
228.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
227.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
227.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
221.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
220.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
218.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
218.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
211.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
210.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
210.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
209.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
209.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
208.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
206.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
203.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
202.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
197.2
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
194.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
192.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
191.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
191.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
191.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
187.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
187.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
186.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
185.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
184.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
175.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
175.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
174.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
173.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
170.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
170.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
164.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
163.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
161.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
161.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
154.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
138.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
138.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
138.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
132.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
123.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
121.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
121.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
119.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
116.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
111.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
106.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
101.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
97.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
97.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
95.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
95.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
83.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
83.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
69.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
68.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
68.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
65.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
59.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
58.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
54.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
52.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
49.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
45.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
31.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
30.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
17.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
