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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.
IFITM1 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
908.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
3212.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
2881.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
2303.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
2277.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
2223.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
2089.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
2060.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
2018.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
1976.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
1962.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
1936.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
1924.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
1906.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
1868.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
1865.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
1826.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
1796.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
1784.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
1713.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
1709.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
1700.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
1690.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
1686.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
1647.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
1646.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
1639.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
1612.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
1612.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
1600.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
1591.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
1569.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
1565.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
1554.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
1541.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
1529.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
1524.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
1515.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
1451.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
1448.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
1410.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
1387.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
1377.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
1371.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
1357.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
1343.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
1339.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
1330.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
1312.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
1300.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
1300.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
1297.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
1290.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
1266.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
1260.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
1253.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
1249.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
1234.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
1219.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
1199.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
1191.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
1189.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
1189.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
1184.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
1183.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
1176.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
1157.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
1154.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
1150.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
1148.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
1145.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
1109.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
1102.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
1098.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
1078.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
1070.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
1067.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
1061.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
1046.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
1043.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
1043.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
1043.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
1036.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
1035.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
1032.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
1022.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
1022.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
1017.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
1007.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
1001.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
999.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
996.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
993.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
993.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
980.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
966.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
964.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
956.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
953.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
952.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
949.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
947.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
940.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
936.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
933.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
918.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
915.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
913.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
912.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
911.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
907.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
902.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
901.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
897.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
894.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
889.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
889.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
881.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
880.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
877.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
875.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
874.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
873.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
869.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
869.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
866.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
860.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
854.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
847.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
844.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
843.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
839.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
829.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
828.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
815.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
815.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
813.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
810.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
809.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
805.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
798.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
797.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
789.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
785.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
785.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
779.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
779.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
776.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
771.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
759.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
759.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
745.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
737.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
737.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
731.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
729.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
723.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
722.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
717.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
701.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
698.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
692.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
689.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
686.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
680.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
674.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
669.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
661.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
650.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
650.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
649.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
649.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
642.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
641.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
629.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
612.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
612.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
608.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
597.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
596.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
591.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
585.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
576.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
574.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
567.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
562.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
561.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
559.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
554.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
551.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
549.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
547.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
531.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
527.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
524.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
524.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
507.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
500.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
498.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
490.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
480.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
478.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
469.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
469.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
459.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
459.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
459.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
459.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
456.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
452.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
440.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
438.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
432.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
426.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
415.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
403.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
394.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
393.7
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
390.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
374.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
368.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
366.5
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
330.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
326.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
311.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
309.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
307.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
298.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
297.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
297.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
286.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
281.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
271.5
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
269.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
268.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
257.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
244.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
226.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
225.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
223.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
208.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
204.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
201.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
198.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
198.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
157.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
150.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
139.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
138.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
116.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
114.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
92.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
89.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
68.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 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.
IFITM1 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
645.3
Number of samples
486
Samples
Sample
Description
TPM
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
2624.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
2186.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
2160.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
1925.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
1767.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
1673.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
1631.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
1622.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
1596.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
1585.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
1584.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
1570.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
1498.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
1481.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
1414.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
1371.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
1364.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
1328.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
1314.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
1293.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
1291.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
1286.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
1283.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
1282.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
1282.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
1281.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
1268.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
1261.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
1260.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
1250.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
1246.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
1241.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
1234.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
1224.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
1198.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
1186.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
1186.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
1178.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
1177.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
1173.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
1143.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
1140.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
1128.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
1127.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
1113.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
1102.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
1096.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
1093.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
1088.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
1084.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
1076.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
1074.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
1067.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
1059.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
1054.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
1041.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
1035.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
1032.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
1030.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
1020.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
1019.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
1019.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
1015.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
1010.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
1005.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
998.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
995.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
986.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
986.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
983.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
965.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
964.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
961.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
955.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
951.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
950.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
947.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
947.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
947.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
945.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
937.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
936.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
936.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
931.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
930.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
928.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
928.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
924.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
924.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
920.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
920.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
919.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
918.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
918.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
914.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
913.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
909.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
907.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
905.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
900.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
900.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
896.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
892.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
889.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
883.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
883.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
883.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
880.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
878.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
876.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
875.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
874.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
873.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
869.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
867.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
865.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
859.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
851.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
849.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
847.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
845.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
845.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
841.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
835.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
834.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
829.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
826.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
826.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
823.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
819.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
819.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
818.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
817.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
817.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
815.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
814.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
813.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
811.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
810.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
809.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
808.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
803.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
801.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
801.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
796.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
794.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
793.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
790.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
790.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
783.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
781.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
777.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
773.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
772.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
772.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
771.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
769.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
767.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
766.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
766.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
765.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
765.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
764.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
756.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
753.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
753.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
745.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
745.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
743.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
740.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
739.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
732.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
731.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
727.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
727.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
726.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
722.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
722.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
720.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
715.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
714.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
712.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
711.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
706.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
703.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
703.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
702.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
690.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
688.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
684.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
684.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
679.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
679.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
677.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
676.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
672.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
671.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
671.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
664.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
662.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
660.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
660.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
658.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
656.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
655.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
654.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
654.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
654.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
651.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
650.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
647.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
647.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
646.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
644.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
643.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
642.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
641.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
638.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
635.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
633.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
630.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
630.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
624.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
621.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
620.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
619.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
617.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
616.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
612.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
611.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
610.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
610.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
610.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
606.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
606.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
603.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
603.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
600.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
596.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
595.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
593.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
593.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
591.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
590.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
589.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
588.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
587.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
585.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
585.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
583.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
581.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
581.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
579.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
579.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
577.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
577.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
576.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
575.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
574.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
572.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
570.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
570.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
561.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
560.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
556.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
554.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
554.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
553.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
552.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
551.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
550.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
549.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
545.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
545.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
544.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
539.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
538.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
537.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
536.9
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
534.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
530.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
530.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
529.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
525.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
523.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
521.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
518.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
517.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
516.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
516.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
515.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
515.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
513.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
512.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
512.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
506.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
505.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
499.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
497.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
496.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
496.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
490.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
488.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
486.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
483.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
482.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
482.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
481.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
481.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
481.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
478.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
478.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
475.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
473.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
472.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
472.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
471.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
468.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
467.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
460.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
458.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
457.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
455.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
455.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
453.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
453.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
447.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
443.1
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
441.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
441.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
441.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
440.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
439.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
437.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
436.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
435.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
434.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
430.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
429.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
428.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
427.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
426.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
425.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
424.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
420.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
419.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
417.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
416.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
410.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
408.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
408.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
407.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
405.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
405.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
403.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
397.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
395.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
394.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
394.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
392.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
392.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
390.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
389.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
387.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
384.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
382.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
380.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
379.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
379.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
379.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
378.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
375.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
374.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
371.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
371.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
369.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
368.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
367.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
367.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
361.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
360.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
360.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
359.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
354.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
352.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
352.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
348.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
348.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
345.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
343.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
340.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
329.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
324.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
324.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
323.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
322.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
320.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
319.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
319.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
318.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
314.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
312.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
312.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
311.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
308.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
308.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
307.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
307.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
307.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
305.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
304.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
304.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
300.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
297.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
296.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
295.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
294.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
294.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
288.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
281.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
277.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
276.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
275.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
275.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
271.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
267.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
261.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
261.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
259.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
257.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
256.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
253.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
251.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
251.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
249.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
242.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
241.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
240.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
234.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
232.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
228.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
227.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
227.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
225.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
222.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
221.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
218.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
217.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
212.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
209.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
207.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
207.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
202.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
200.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
200.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
200.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
198.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
194.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
186.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
185.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
183.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
182.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
180.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
180.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
179.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
178.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
178.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
165.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
164.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
160.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
157.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
155.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
152.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
150.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
148.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
126.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
125.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
118.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
118.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
106.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
96.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
92.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
85.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
79.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
10.8
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.
IFITM1 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
977.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
3129.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
2396.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
2194.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
2066.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
2064.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
2048.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
2010.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
1991.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
1920.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
1892.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
1629.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
1581.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
1567.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
1536.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
1486.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
1472.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
1465.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
1463.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
1437.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
1371.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
1351.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
1323.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
1319.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
1303.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
1302.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
1198.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
1183.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
1149.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
1145.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
1081.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
1076.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
1053.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
1050.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
1044.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
1043.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
1037.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
1025.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
1004.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
978.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
946.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
945.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
934.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
928.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
885.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
877.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
872.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
870.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
836.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
834.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
816.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
816.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
799.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
796.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
789.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
763.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
734.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
695.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
676.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
647.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
647.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
631.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
627.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
617.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
616.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
606.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
519.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
514.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
512.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
505.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
486.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
481.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
441.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
427.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
419.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
407.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
334.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
330.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
305.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
281.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
268.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
210.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
208.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
189.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
182.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
155.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
120.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
50.0
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 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.
IFITM1 is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
574.5
Number of samples
207
Samples
Sample
Description
TPM
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
1377.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
1331.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
1320.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
1268.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
1186.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
1181.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
1152.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
1129.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
1119.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
1090.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
1089.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
1086.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
1085.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
1059.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
1059.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
1058.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
1055.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
1028.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
1020.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
1005.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
1002.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
994.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
984.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
982.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
962.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
956.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
928.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
918.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
915.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
913.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
909.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
905.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
901.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
857.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
848.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
844.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
842.4
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
823.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
817.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
817.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
816.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
813.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
805.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
803.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
791.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
782.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
772.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
767.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
760.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
757.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
750.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
749.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
749.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
746.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
736.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
732.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
731.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
724.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
717.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
715.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
707.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
703.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
698.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
691.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
689.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
688.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
686.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
675.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
675.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
667.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
658.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
646.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
634.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
623.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
616.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
613.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
608.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
607.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
598.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
598.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
597.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
595.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
592.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
592.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
587.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
585.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
584.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
584.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
584.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
576.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
575.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
574.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
572.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
570.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
568.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
564.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
562.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
552.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
551.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
551.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
548.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
548.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
544.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
540.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
540.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
534.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
532.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
528.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
526.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
525.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
524.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
522.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
516.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
513.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
510.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
503.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
497.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
488.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
483.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
473.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
471.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
469.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
464.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
461.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
458.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
448.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
446.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
446.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
446.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
438.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
438.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
437.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
434.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
431.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
420.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
418.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
418.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
412.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
409.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
406.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
404.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
404.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
402.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
397.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
396.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
386.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
384.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
379.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
376.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
374.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
373.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
373.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
365.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
364.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
364.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
364.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
360.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
352.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
352.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
350.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
346.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
342.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
342.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
342.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
341.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
339.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
336.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
333.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
330.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
328.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
324.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
324.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
323.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
319.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
318.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
310.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
308.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
308.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
290.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
278.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
277.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
271.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
264.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
258.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
248.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
231.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
221.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
212.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
211.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
200.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
194.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
194.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
191.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
187.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
187.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
184.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
181.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
177.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
173.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
165.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
154.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
146.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
132.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
127.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
106.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
101.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
61.1
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
1.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
1.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
1.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.8
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.8
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.8
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.8
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.7
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.7
b2400046-1d25-429d-a821-6040a6
Tumor
0.7
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.7
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.6
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.6
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.6
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.5
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.5
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.5
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.5
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.5
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.4
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.4
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.4
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.4
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.4
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.4
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.4
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.4
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.4
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.5
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.5
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.5
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.5
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.5
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.5
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.5
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.5
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.5
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.5
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.5
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.5
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.5
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.5
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.5
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.5
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.5
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.5
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.6
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.6
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.6
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.6
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.6
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.6
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.6
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.6
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.6
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.6
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.6
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.6
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.6
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.6
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.6
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.7
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.7
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.7
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.7
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.7
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.7
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.8
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.8
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.8
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.8
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.8
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.9
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.9
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-1.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-1.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-1.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-1.0
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-1.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-1.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-1.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-1.7
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_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
