We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
EPCAM 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
875.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
2121.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
2034.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
1760.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
1705.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
1637.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
1600.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
1527.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
1465.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
1446.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
1388.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
1378.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
1374.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
1357.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
1346.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
1337.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
1330.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
1305.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
1292.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
1278.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
1271.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
1265.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
1262.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
1251.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
1251.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
1242.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
1221.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
1218.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
1218.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
1215.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
1213.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
1207.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
1204.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
1203.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
1202.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
1202.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
1183.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
1183.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
1174.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
1172.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
1169.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
1161.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
1144.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
1142.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
1139.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
1138.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
1129.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
1126.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
1124.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
1123.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
1122.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
1121.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
1120.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
1118.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
1117.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
1112.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
1112.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
1105.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
1102.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
1098.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
1097.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
1079.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
1079.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
1077.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
1073.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
1059.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
1052.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
1038.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
1037.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
1034.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
1033.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
1032.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
1030.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
1028.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
1027.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
1018.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
1018.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
1013.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
1013.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
1010.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
1003.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
1003.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
1003.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
1000.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
988.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
986.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
986.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
984.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
981.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
973.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
971.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
971.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
969.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
969.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
968.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
965.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
964.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
959.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
956.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
954.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
952.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
940.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
940.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
933.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
931.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
928.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
927.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
927.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
922.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
921.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
918.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
918.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
913.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
911.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
894.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
893.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
891.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
888.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
887.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
882.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
880.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
880.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
878.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
877.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
866.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
865.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
863.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
861.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
858.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
854.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
850.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
849.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
837.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
836.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
832.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
831.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
825.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
823.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
823.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
821.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
815.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
813.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
812.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
811.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
811.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
810.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
809.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
809.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
808.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
803.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
796.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
783.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
778.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
771.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
768.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
759.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
755.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
754.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
753.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
749.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
748.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
746.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
745.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
745.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
743.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
742.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
733.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
730.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
729.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
728.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
724.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
722.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
722.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
722.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
721.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
719.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
718.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
715.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
715.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
709.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
706.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
703.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
701.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
700.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
692.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
690.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
687.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
679.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
678.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
675.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
673.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
666.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
666.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
665.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
663.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
659.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
658.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
656.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
652.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
650.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
648.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
648.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
647.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
635.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
625.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
619.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
615.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
610.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
608.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
608.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
606.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
602.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
599.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
594.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
577.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
575.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
575.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
567.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
567.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
567.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
561.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
558.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
557.3
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
552.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
550.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
541.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
541.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
528.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
525.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
513.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
513.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
508.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
500.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
492.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
485.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
468.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
467.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
455.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
455.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
443.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
439.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
422.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
415.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
413.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
384.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
382.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
379.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
349.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
316.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
315.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
313.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
263.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
184.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
170.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 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.
EPCAM 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
571.3
Number of samples
486
Samples
Sample
Description
TPM
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
2526.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
1292.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
1140.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
1119.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
1065.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
1049.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
1039.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
1026.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
1008.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
991.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
978.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
968.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
951.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
948.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
945.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
932.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
920.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
907.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
893.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
887.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
882.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
882.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
869.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
865.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
864.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
862.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
861.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
859.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
858.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
851.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
847.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
836.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
834.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
831.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
827.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
827.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
823.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
823.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
804.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
803.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
802.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
802.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
801.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
800.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
793.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
790.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
789.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
786.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
785.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
783.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
780.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
780.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
778.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
778.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
776.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
776.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
775.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
768.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
767.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
767.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
758.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
755.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
753.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
751.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
748.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
748.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
747.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
746.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
743.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
741.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
737.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
737.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
732.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
731.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
730.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
728.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
725.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
720.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
718.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
715.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
714.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
713.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
713.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
712.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
710.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
710.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
708.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
708.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
708.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
708.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
707.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
706.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
705.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
704.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
702.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
702.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
700.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
699.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
699.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
699.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
697.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
696.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
695.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
694.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
693.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
692.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
692.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
689.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
688.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
688.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
686.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
685.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
685.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
684.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
681.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
676.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
676.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
675.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
674.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
673.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
673.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
672.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
671.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
669.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
668.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
668.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
666.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
664.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
664.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
664.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
662.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
660.1
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
659.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
658.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
657.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
657.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
656.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
654.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
654.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
653.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
651.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
650.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
647.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
647.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
646.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
646.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
643.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
642.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
640.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
639.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
639.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
638.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
637.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
637.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
636.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
634.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
632.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
631.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
630.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
630.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
627.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
627.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
625.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
624.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
622.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
621.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
620.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
620.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
620.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
619.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
619.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
619.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
619.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
618.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
618.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
618.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
616.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
616.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
615.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
612.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
610.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
609.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
609.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
608.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
607.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
606.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
606.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
605.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
604.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
604.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
604.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
603.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
603.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
602.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
602.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
601.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
599.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
597.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
597.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
596.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
595.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
595.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
594.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
591.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
591.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
590.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
589.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
588.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
586.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
585.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
584.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
581.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
580.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
580.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
580.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
577.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
577.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
576.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
575.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
575.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
575.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
574.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
572.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
569.8
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
568.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
568.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
567.9
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
567.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
566.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
566.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
566.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
564.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
563.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
562.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
562.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
560.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
560.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
559.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
559.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
559.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
558.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
556.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
555.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
554.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
553.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
552.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
552.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
552.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
552.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
551.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
551.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
550.2
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
549.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
548.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
547.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
545.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
544.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
543.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
543.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
542.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
540.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
540.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
537.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
537.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
537.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
536.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
536.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
534.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
532.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
532.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
530.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
528.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
528.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
527.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
527.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
527.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
526.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
525.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
523.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
521.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
521.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
521.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
516.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
516.6
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
515.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
515.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
515.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
515.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
514.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
513.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
513.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
512.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
511.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
511.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
511.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
509.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
509.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
509.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
507.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
506.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
506.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
505.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
504.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
503.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
503.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
501.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
501.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
500.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
499.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
499.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
497.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
496.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
496.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
495.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
494.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
493.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
491.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
489.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
488.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
488.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
487.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
487.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
486.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
484.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
484.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
484.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
484.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
483.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
483.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
483.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
482.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
480.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
480.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
480.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
479.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
479.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
477.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
476.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
475.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
473.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
472.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
472.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
472.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
472.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
472.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
470.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
470.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
469.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
468.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
466.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
464.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
464.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
464.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
463.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
463.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
461.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
461.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
460.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
459.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
458.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
456.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
456.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
456.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
456.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
454.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
453.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
453.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
450.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
450.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
449.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
448.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
448.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
446.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
446.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
445.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
444.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
443.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
442.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
440.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
439.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
438.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
436.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
436.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
436.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
435.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
435.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
434.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
433.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
433.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
432.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
431.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
431.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
429.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
429.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
427.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
426.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
425.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
425.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
423.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
420.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
420.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
420.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
419.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
416.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
416.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
416.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
414.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
413.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
413.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
412.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
412.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
411.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
409.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
409.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
408.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
408.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
408.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
403.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
395.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
394.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
393.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
392.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
387.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
386.1
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
384.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
384.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
383.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
381.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
379.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
378.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
378.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
378.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
374.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
372.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
372.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
371.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
369.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
366.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
365.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
365.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
362.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
360.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
360.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
359.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
359.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
356.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
355.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
354.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
351.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
349.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
346.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
346.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
343.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
343.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
343.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
339.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
334.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
333.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
328.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
323.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
322.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
315.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
308.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
307.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
307.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
301.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
297.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
295.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
287.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
282.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
280.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
277.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
277.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
261.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
257.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
255.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
251.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
223.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
209.4
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
170.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
163.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
159.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
150.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
68.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
45.0
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.
EPCAM 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
964.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
1646.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
1623.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
1595.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
1579.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
1557.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
1503.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
1467.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
1451.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
1428.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
1415.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
1362.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
1327.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
1304.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
1296.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
1291.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
1261.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
1241.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
1238.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
1195.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
1169.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
1151.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
1147.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
1117.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
1113.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
1103.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
1088.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
1080.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
1069.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
1060.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
1037.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
1031.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
1028.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
1024.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
1020.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
1006.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
1004.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
999.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
986.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
977.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
976.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
939.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
938.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
936.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
929.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
926.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
914.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
910.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
908.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
898.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
892.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
888.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
867.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
859.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
856.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
854.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
850.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
849.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
842.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
839.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
836.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
830.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
816.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
808.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
800.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
795.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
774.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
773.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
740.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
729.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
725.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
712.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
687.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
683.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
673.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
672.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
662.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
656.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
655.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
630.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
629.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
571.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
554.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
544.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
497.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
473.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
439.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
391.9
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.
EPCAM 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
545.9
Number of samples
207
Samples
Sample
Description
TPM
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
949.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
897.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
876.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
857.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
856.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
853.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
836.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
823.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
818.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
813.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
793.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
793.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
791.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
791.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
787.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
783.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
764.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
757.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
751.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
749.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
748.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
746.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
736.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
734.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
721.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
720.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
712.7
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
711.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
710.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
709.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
707.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
704.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
699.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
692.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
692.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
687.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
681.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
678.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
678.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
670.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
668.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
667.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
667.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
667.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
662.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
660.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
656.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
655.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
652.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
649.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
649.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
646.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
645.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
644.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
642.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
641.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
636.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
634.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
627.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
627.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
627.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
626.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
626.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
625.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
625.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
624.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
624.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
618.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
613.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
608.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
604.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
602.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
601.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
599.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
599.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
599.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
598.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
591.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
591.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
590.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
589.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
588.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
584.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
583.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
582.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
581.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
580.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
579.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
574.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
574.9
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
573.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
571.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
568.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
568.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
567.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
567.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
566.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
558.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
547.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
546.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
545.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
541.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
539.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
539.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
538.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
536.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
534.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
528.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
528.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
527.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
526.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
524.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
524.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
523.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
523.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
521.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
519.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
519.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
514.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
513.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
511.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
510.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
509.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
509.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
506.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
504.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
503.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
501.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
497.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
495.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
487.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
487.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
486.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
485.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
485.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
483.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
480.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
479.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
477.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
476.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
475.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
474.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
473.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
472.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
471.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
458.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
455.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
455.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
452.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
449.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
449.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
448.7
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
448.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
448.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
448.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
443.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
443.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
442.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
440.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
438.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
437.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
433.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
430.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
427.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
425.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
421.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
419.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
418.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
411.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
407.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
403.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
401.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
401.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
396.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
395.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
394.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
394.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
386.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
382.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
380.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
374.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
372.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
372.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
370.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
365.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
355.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
353.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
352.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
347.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
342.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
340.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
339.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
334.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
333.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
326.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
323.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
311.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
288.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
284.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
283.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
265.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
248.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
242.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
223.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
204.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
154.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
40.2
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
1.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.8
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.7
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.7
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.7
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.7
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.5
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.5
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.5
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.5
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.5
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.5
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.5
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.5
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.5
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.5
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.5
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.5
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.4
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.4
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.4
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.4
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.4
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.4
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.4
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.4
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.5
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.5
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.5
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.5
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.5
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.5
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.5
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.5
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.6
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.6
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.6
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.6
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.6
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.7
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.7
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.8
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.8
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.8
b2400046-1d25-429d-a821-6040a6
Tumor
-0.8
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.9
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-1.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-1.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-1.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-1.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-1.8
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
