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  • SUMMARY

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  • MGST1
CANCER LIVER CANCER Show tissue menu
BREAST CANCER CARCINOID CERVICAL CANCER COLORECTAL CANCER ENDOMETRIAL CANCER GLIOMA HEAD AND NECK CANCER LIVER CANCER LUNG CANCER LYMPHOMA
MELANOMA OVARIAN CANCER PANCREATIC CANCER PROSTATE CANCER RENAL CANCER SKIN CANCER STOMACH CANCER TESTIS CANCER THYROID CANCER UROTHELIAL CANCER
LIHC TCGA LIHC VALIDATION PROTEIN LIHC CPTAC PROTEIN EXPRESSION
ANTIBODIES
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VALIDATION
Dictionary
Liver cancer
Human cancer
Liver hepatocellular carcinoma
LIVER HEPATOCELLULAR CARCINOMA (TCGA) - Interactive survival scatter ploti

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.

MGST1 is not prognostic in Liver Hepatocellular Carcinoma (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.

: 1301.76
Median expressioni

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.

: N/A
Median follow up timei

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 pTPM 873.7
Number of samples 362
Samples
Sample Description pTPM
TCGA-G3-A7M7-01A 65 years, male, white, stage:Stage I, alive, 361 days 2829.1
TCGA-G3-AAV3-01A 58 years, female, white, stage:Stage II, alive, 412 days 2749.1
TCGA-5R-AA1C-01A 57 years, male, white, stage:Stage II, alive, 520 days 2683.4
TCGA-DD-AADR-01A 58 years, male, asian, stage:Stage I, alive, 2028 days 2666.5
TCGA-ED-A459-01A 47 years, male, asian, stage:Stage II, alive, 910 days 2271.9
TCGA-BC-A10W-01A 50 years, male, asian, stage:'--, dead, 91 days 2254.8
TCGA-DD-A1EE-01A 73 years, male, white, stage:Stage IIIA, dead, 349 days 2171.3
TCGA-DD-A4NB-01A 25 years, male, white, stage:Stage I, alive, 989 days 2102.8
TCGA-DD-A4NQ-01A 60 years, male, white, stage:Stage II, dead, 373 days 2087.0
TCGA-DD-AAC8-01A 72 years, male, asian, stage:Stage I, dead, 16 days 2057.5
TCGA-G3-A25V-01A 68 years, male, white, stage:Stage I, alive, 860 days 2025.6
TCGA-G3-AAV4-01A 83 years, female, white, stage:Stage I, dead, 27 days 1999.4
TCGA-FV-A2QQ-01A 80 years, male, white, stage:Stage I, alive, 729 days 1934.5
TCGA-DD-AACK-01A 70 years, male, asian, stage:Stage I, alive, 9 days 1891.6
TCGA-DD-AAVY-01A 56 years, male, asian, stage:Stage IIIA, alive, 1970 days 1883.4
TCGA-5R-AAAM-01A 65 years, female, white, stage:Stage II, dead, 46 days 1865.8
TCGA-DD-A3A4-01A 37 years, male, white, stage:Stage IIIA, dead, 612 days 1842.9
TCGA-G3-A5SM-01A 58 years, male, white, stage:Stage II, alive, 520 days 1831.6
TCGA-CC-A5UD-01A 45 years, male, asian, stage:Stage IIIA, dead, 304 days 1826.9
TCGA-4R-AA8I-01A 66 years, male, white, stage:Stage II, dead, 262 days 1823.2
TCGA-RC-A6M4-01A 74 years, female, white, stage:Stage IIIA, alive, 22 days 1816.4
TCGA-RC-A7SK-01A 59 years, male, asian, stage:Stage I, alive, 472 days 1803.5
TCGA-CC-A3MB-01A 36 years, male, asian, stage:Stage IIIA, dead, 315 days 1799.7
TCGA-DD-A4NF-01A 72 years, male, white, stage:Stage I, alive, 942 days 1786.4
TCGA-EP-A12J-01A 62 years, male, black or african american, stage:Stage I, alive, 570 days 1768.3
TCGA-DD-A4NR-01A 85 years, female, white, stage:Stage I, dead, 9 days 1749.6
TCGA-DD-A113-01A 55 years, female, white, stage:Stage II, alive, 2425 days 1748.9
TCGA-DD-AAE9-01A 69 years, male, asian, stage:Stage I, alive, 722 days 1732.1
TCGA-HP-A5MZ-01A 78 years, male, stage:Stage I, dead, 91 days 1727.1
TCGA-CC-A3MC-01A 54 years, male, asian, stage:Stage IIIA, alive, 363 days 1691.6
TCGA-MI-A75C-01A 64 years, male, white, stage:Stage I, alive, 291 days 1676.0
TCGA-KR-A7K0-01A 65 years, male, white, stage:Stage I, dead, 65 days 1668.4
TCGA-DD-AAEG-01A 59 years, female, asian, stage:Stage I, alive, 719 days 1633.4
TCGA-LG-A9QC-01A 48 years, male, white, stage:Stage I, alive, 425 days 1611.4
TCGA-ZP-A9CY-01A 66 years, female, white, stage:'--, alive, 782 days 1606.3
TCGA-DD-A1EL-01A 23 years, male, black or african american, stage:Stage II, dead, 415 days 1605.5
TCGA-K7-A6G5-01A 66 years, male, white, stage:Stage I, alive, 512 days 1603.4
TCGA-UB-A7MD-01A 67 years, male, black or african american, stage:Stage I, dead, 52 days 1602.3
TCGA-NI-A4U2-01A 71 years, male, white, stage:Stage IIIA, dead, 1791 days 1596.9
TCGA-G3-A3CH-01A 53 years, male, asian, stage:Stage IIIA, alive, 780 days 1585.3
TCGA-UB-A7MC-01A 59 years, male, white, stage:Stage IIIA, alive, 500 days 1579.9
TCGA-UB-A7MB-01A 24 years, male, white, stage:Stage II, alive, 601 days 1578.9
TCGA-DD-A1EG-01A 76 years, male, white, stage:Stage I, dead, 1372 days 1575.1
TCGA-G3-A5SL-01A 70 years, male, white, stage:Stage II, alive, 621 days 1571.6
TCGA-EP-A3RK-01A 73 years, male, white, stage:Stage IIIA, alive, 363 days 1570.2
TCGA-BD-A3ER-01A 62 years, male, white, stage:Stage II, alive, 1115 days 1562.8
TCGA-DD-AACF-01A 68 years, male, asian, stage:Stage I, dead, 365 days 1540.2
TCGA-EP-A26S-01A 70 years, male, white, stage:Stage I, alive, 608 days 1525.9
TCGA-DD-A1EI-01A 46 years, male, asian, stage:Stage I, alive, 183 days 1523.3
TCGA-EP-A3JL-01A 76 years, male, white, stage:Stage I, alive, 303 days 1507.6
TCGA-DD-AADL-01A 58 years, male, asian, stage:Stage I, alive, 636 days 1505.4
TCGA-G3-A5SI-01A 44 years, male, asian, stage:Stage II, dead, 768 days 1496.1
TCGA-DD-A3A1-01A 65 years, male, stage:Stage IIIA, dead, 233 days 1488.5
TCGA-DD-AAVW-01A 35 years, male, asian, stage:Stage I, alive, 2317 days 1478.0
TCGA-DD-AAW2-01A 69 years, male, asian, stage:Stage I, alive, 1855 days 1454.8
TCGA-G3-A3CK-01A 61 years, male, asian, stage:Stage I, alive, 585 days 1447.8
TCGA-DD-A119-01A 40 years, male, asian, stage:Stage IV, dead, 223 days 1444.1
TCGA-BC-A8YO-01A 66 years, female, white, stage:Stage IIIC, alive, 562 days 1425.5
TCGA-CC-5262-01A 67 years, male, asian, stage:Stage IIIC, dead, 103 days 1394.8
TCGA-DD-AACU-01A 59 years, male, asian, stage:Stage I, alive, 1567 days 1391.5
TCGA-G3-AAV1-01A 51 years, male, asian, stage:Stage IIIC, dead, 359 days 1375.0
TCGA-DD-AAEK-01A 51 years, male, asian, stage:Stage II, alive, 1067 days 1373.2
TCGA-DD-A4NG-01A 77 years, male, white, stage:Stage IIIA, dead, 802 days 1370.5
TCGA-DD-AACQ-01A 50 years, male, asian, stage:Stage II, dead, 432 days 1369.7
TCGA-FV-A3I1-01A 81 years, female, white, stage:Stage II, dead, 247 days 1354.7
TCGA-DD-AACI-01A 69 years, male, asian, stage:Stage II, alive, 1618 days 1348.9
TCGA-CC-A7IH-01A 58 years, male, asian, stage:Stage IIIA, alive, 365 days 1348.0
TCGA-CC-A7IL-01A 61 years, male, asian, stage:Stage IIIA, dead, 278 days 1345.9
TCGA-GJ-A3OU-01A 59 years, male, white, stage:Stage I, alive, 879 days 1315.7
TCGA-DD-A3A5-01A 66 years, female, white, stage:Stage III, dead, 3125 days 1313.9
TCGA-DD-A116-01A 68 years, male, asian, stage:Stage IIIA, dead, 1622 days 1313.1
TCGA-2Y-A9H4-01A 68 years, male, black or african american, stage:Stage I, alive, 1452 days 1308.8
TCGA-BC-A10Z-01A 62 years, female, white, stage:Stage I, dead, 34 days 1304.9
TCGA-DD-A4NL-01A 46 years, male, white, stage:Stage I, alive, 1711 days 1304.4
TCGA-DD-AAW0-01A 54 years, male, asian, stage:Stage I, alive, 2015 days 1299.2
TCGA-MI-A75H-01A 77 years, male, white, stage:'--, alive, 747 days 1277.4
TCGA-DD-AACV-01A 53 years, male, asian, stage:Stage I, alive, 1531 days 1258.2
TCGA-DD-AAD0-01A 73 years, female, asian, stage:Stage I, alive, 137 days 1227.8
TCGA-5R-AA1D-01A 17 years, female, white, stage:Stage IIIA, alive, 449 days 1223.4
TCGA-DD-A4NO-01A 65 years, male, white, stage:Stage I, alive, 2245 days 1216.1
TCGA-DD-AADV-01A 50 years, male, asian, stage:Stage I, alive, 574 days 1214.2
TCGA-DD-AADC-01A 53 years, male, asian, stage:Stage I, dead, 425 days 1212.7
TCGA-G3-A3CJ-01A 52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days 1211.0
TCGA-DD-AAC9-01A 51 years, male, asian, stage:Stage I, alive, 347 days 1209.2
TCGA-ZP-A9CV-01A 59 years, male, white, stage:'--, dead, 1088 days 1201.9
TCGA-DD-A73E-01A 66 years, male, white, stage:Stage I, alive, 44 days 1201.0
TCGA-EP-A2KC-01A 62 years, male, black or african american, stage:Stage I, dead, 19 days 1195.4
TCGA-NI-A8LF-01A 74 years, male, white, stage:Stage I, alive, 799 days 1190.7
TCGA-MI-A75E-01A 61 years, male, white, stage:Stage IIIC, alive, 507 days 1190.4
TCGA-DD-A39X-01A 78 years, female, white, stage:Stage I, dead, 1694 days 1176.7
TCGA-ZS-A9CD-01A 73 years, male, white, stage:Stage II, dead, 1386 days 1176.3
TCGA-KR-A7K8-01A 57 years, male, stage:Stage I, alive, 906 days 1164.8
TCGA-DD-AAW1-01A 55 years, male, asian, stage:Stage IIIA, alive, 1989 days 1156.6
TCGA-GJ-A9DB-01A 68 years, male, white, stage:Stage I, dead, 67 days 1155.3
TCGA-ES-A2HS-01A 80 years, male, white, stage:Stage I, dead, 688 days 1152.7
TCGA-DD-A73A-01A 71 years, male, white, stage:Stage I, alive, 728 days 1150.1
TCGA-BW-A5NO-01A 50 years, male, black or african american, stage:Stage IIIA, alive, 20 days 1145.1
TCGA-MI-A75G-01A 63 years, male, white, stage:Stage II, alive, 698 days 1132.5
TCGA-XR-A8TD-01A 49 years, female, white, stage:Stage IIIB, alive, 1030 days 1129.7
TCGA-2Y-A9HA-01A 70 years, male, white, stage:Stage II, dead, 36 days 1124.5
TCGA-UB-AA0V-01A 69 years, female, white, stage:Stage I, alive, 314 days 1123.9
TCGA-G3-A25U-01A 63 years, female, asian, stage:Stage I, alive, 1636 days 1120.0
TCGA-CC-5264-01A 71 years, male, asian, stage:Stage IIIA, dead, 102 days 1102.5
TCGA-ZP-A9D4-01A 64 years, female, white, stage:'--, alive, 395 days 1102.4
TCGA-K7-A5RF-01A 64 years, male, white, stage:Stage I, alive, 631 days 1096.7
TCGA-DD-AAD2-01A 66 years, male, asian, stage:Stage I, alive, 658 days 1072.2
TCGA-DD-A115-01A 53 years, male, white, stage:Stage IIIA, dead, 2542 days 1071.8
TCGA-XR-A8TF-01A 74 years, male, white, stage:Stage I, dead, 693 days 1070.2
TCGA-DD-A73C-01A 65 years, female, white, stage:Stage IIIA, alive, 701 days 1065.4
TCGA-2Y-A9GT-01A 51 years, male, white, stage:Stage I, dead, 1624 days 1062.3
TCGA-DD-AACS-01A 39 years, male, asian, stage:Stage I, alive, 1804 days 1053.8
TCGA-3K-AAZ8-01A 65 years, male, black or african american, stage:Stage IIIB, alive, 396 days 1051.6
TCGA-DD-AAD6-01A 66 years, male, asian, stage:Stage IIIA, alive, 672 days 1043.1
TCGA-WX-AA46-01A 61 years, male, white, stage:Stage II, alive, 756 days 1041.2
TCGA-YA-A8S7-01A 68 years, male, white, stage:Stage IIIA, dead, 412 days 1034.4
TCGA-BD-A3EP-01A 75 years, female, black or african american, stage:Stage I, alive, 409 days 1032.9
TCGA-DD-A1EA-01A 68 years, male, asian, stage:Stage II, alive, 2415 days 1028.0
TCGA-ZS-A9CG-01A 55 years, male, white, stage:Stage II, alive, 341 days 1026.8
TCGA-BC-A10X-01A 52 years, female, white, stage:Stage IIIA, dead, 770 days 1017.1
TCGA-ED-A4XI-01A 58 years, male, asian, stage:Stage II, alive, 819 days 1007.7
TCGA-DD-AAW3-01A 69 years, male, asian, stage:Stage I, alive, 1633 days 1006.0
TCGA-BC-A112-01A 80 years, male, white, stage:'--, dead, 153 days 1000.4
TCGA-CC-A7IF-01A 59 years, male, asian, stage:Stage IIIA, dead, 649 days 995.2
TCGA-PD-A5DF-01A 58 years, female, white, stage:Stage IIIB, dead, 639 days 992.0
TCGA-CC-A1HT-01A 50 years, male, asian, stage:Stage IIIA, dead, 101 days 982.6
TCGA-DD-AAEI-01A 72 years, male, asian, stage:Stage I, alive, 1531 days 978.4
TCGA-DD-AADF-01A 64 years, female, asian, stage:Stage I, dead, 115 days 978.0
TCGA-DD-A3A3-01A 45 years, male, asian, stage:Stage I, dead, 535 days 976.1
TCGA-DD-AAVR-01A 44 years, male, asian, stage:Stage I, alive, 2513 days 975.4
TCGA-G3-AAV2-01A 50 years, male, white, stage:Stage I, alive, 372 days 972.9
TCGA-2Y-A9GS-01A 58 years, male, white, stage:'--, dead, 724 days 969.6
TCGA-DD-A11D-01A 57 years, female, white, stage:Stage I, dead, 1560 days 960.2
TCGA-O8-A75V-01A 54 years, male, stage:Stage I, alive, 538 days 955.2
TCGA-ZS-A9CE-01A 79 years, female, white, stage:Stage II, alive, 1241 days 955.1
TCGA-LG-A9QD-01A 68 years, male, white, stage:Stage IIIA, alive, 366 days 945.8
TCGA-DD-AADU-01A 60 years, male, asian, stage:Stage II, alive, 554 days 940.3
TCGA-T1-A6J8-01A 68 years, male, white, stage:'--, alive, 23 days 940.0
TCGA-RC-A7SB-01A 53 years, male, asian, stage:Stage II, alive, 588 days 935.6
TCGA-WX-AA44-01A 64 years, female, white, stage:Stage I, alive, 615 days 930.5
TCGA-DD-A4NP-01A 32 years, male, white, stage:Stage I, alive, 3308 days 925.9
TCGA-BC-A10U-01A 69 years, male, white, stage:'--, dead, 837 days 924.1
TCGA-DD-AADK-01A 68 years, female, asian, stage:Stage II, alive, 1049 days 918.9
TCGA-DD-A73B-01A 72 years, female, white, stage:Stage I, dead, 283 days 918.5
TCGA-RC-A7SF-01A 66 years, male, asian, stage:Stage I, alive, 579 days 918.5
TCGA-DD-A4NE-01A 75 years, female, white, stage:Stage IIIA, dead, 660 days 916.8
TCGA-MR-A520-01A 58 years, male, white, stage:Stage I, alive, 229 days 916.4
TCGA-DD-A4NK-01A 80 years, female, white, stage:Stage IIIA, dead, 1210 days 913.1
TCGA-DD-AACX-01A 66 years, male, asian, stage:Stage II, alive, 170 days 906.6
TCGA-ZS-A9CF-01A 64 years, male, white, stage:Stage II, alive, 2412 days 906.3
TCGA-BC-A10T-01A 76 years, male, white, stage:'--, dead, 837 days 905.9
TCGA-DD-AAE2-01A 51 years, male, asian, stage:Stage I, alive, 638 days 903.2
TCGA-HP-A5N0-01A 90 years, female, stage:'--, dead, 752 days 901.7
TCGA-ZP-A9CZ-01A 72 years, male, asian, stage:'--, alive, 706 days 900.6
TCGA-DD-A1EB-01A 72 years, female, stage:Stage I, alive, 2017 days 898.2
TCGA-DD-A3A8-01A 75 years, male, white, stage:Stage II, dead, 11 days 897.0
TCGA-2Y-A9H9-01A 70 years, male, white, stage:Stage I, alive, 697 days 896.9
TCGA-2Y-A9GV-01A 54 years, female, white, stage:Stage I, dead, 2532 days 896.0
TCGA-G3-A5SJ-01A 59 years, male, white, stage:Stage I, alive, 698 days 895.1
TCGA-CC-A8HT-01A 74 years, male, asian, stage:Stage IIIA, dead, 140 days 894.3
TCGA-DD-AAD8-01A 73 years, female, asian, stage:Stage I, alive, 1219 days 890.4
TCGA-DD-A39V-01A 77 years, male, white, stage:Stage II, dead, 643 days 889.0
TCGA-DD-AACJ-01A 75 years, male, asian, stage:Stage II, alive, 2102 days 882.4
TCGA-ZP-A9D1-01A 56 years, female, white, stage:'--, alive, 21 days 881.7
TCGA-CC-A5UC-01A 63 years, male, asian, stage:Stage IIIA, dead, 347 days 881.1
TCGA-BC-A10S-01A 81 years, male, white, stage:'--, dead, 1423 days 880.0
TCGA-G3-A25S-01A 64 years, male, white, stage:Stage I, dead, 416 days 876.7
TCGA-DD-AADQ-01A 59 years, male, asian, stage:Stage II, alive, 436 days 872.7
TCGA-G3-A7M5-01A 76 years, male, asian, stage:Stage I, alive, 447 days 871.9
TCGA-DD-AACB-01A 74 years, female, asian, stage:Stage I, alive, 2324 days 866.9
TCGA-DD-AADM-01A 58 years, male, asian, stage:Stage II, dead, 12 days 865.0
TCGA-2Y-A9H0-01A 49 years, male, white, stage:Stage IIIA, alive, 3675 days 862.4
TCGA-ED-A7XP-01A 53 years, female, asian, stage:Stage II, alive, 400 days 860.2
TCGA-DD-AACA-01A 65 years, male, asian, stage:Stage I, alive, 2301 days 859.8
TCGA-DD-AAD3-01A 43 years, male, asian, stage:Stage I, alive, 1295 days 857.1
TCGA-BC-A10R-01A 66 years, female, white, stage:'--, dead, 308 days 855.5
TCGA-G3-AAV5-01A 67 years, male, white, stage:Stage II, alive, 354 days 854.0
TCGA-XR-A8TC-01A 43 years, female, white, stage:Stage I, alive, 1339 days 852.2
TCGA-G3-A5SK-01A 58 years, male, white, stage:Stage I, alive, 744 days 842.4
TCGA-FV-A2QR-01A 75 years, male, white, stage:Stage I, dead, 581 days 841.0
TCGA-DD-A1ED-01A 68 years, male, white, stage:Stage I, alive, 2301 days 838.6
TCGA-WQ-AB4B-01A 62 years, male, white, stage:Stage II, alive, 395 days 837.3
TCGA-CC-A8HU-01A 39 years, female, asian, stage:Stage IIIA, dead, 344 days 831.2
TCGA-DD-A1EC-01A 20 years, female, white, stage:Stage I, alive, 602 days 827.6
TCGA-DD-AACH-01A 69 years, male, asian, stage:Stage II, dead, 195 days 826.6
TCGA-CC-A9FW-01A 68 years, male, asian, stage:Stage IIIA, alive, 248 days 819.1
TCGA-DD-A4NV-01A 61 years, male, white, stage:Stage IIIA, alive, 2398 days 815.5
TCGA-G3-AAUZ-01A 48 years, male, stage:Stage I, alive, 480 days 815.1
TCGA-K7-A5RG-01A 66 years, male, black or african american, stage:Stage I, alive, 519 days 811.7
TCGA-RC-A6M5-01A 20 years, female, white, stage:Stage IVA, alive, 15 days 807.5
TCGA-DD-AADG-01A 70 years, male, asian, stage:Stage IIIA, alive, 1145 days 798.1
TCGA-DD-AAVS-01A 56 years, male, asian, stage:Stage I, alive, 1823 days 785.0
TCGA-ED-A627-01A 74 years, male, white, stage:Stage I, alive, 423 days 784.8
TCGA-BC-A3KG-01A 68 years, female, white, stage:Stage II, alive, 680 days 784.4
TCGA-DD-A11B-01A 73 years, male, white, stage:Stage I, dead, 14 days 783.9
TCGA-BC-A69I-01A 69 years, male, white, stage:Stage I, alive, 387 days 779.4
TCGA-DD-AAVX-01A 38 years, male, asian, stage:Stage II, alive, 1718 days 774.4
TCGA-LG-A6GG-01A 79 years, female, white, stage:Stage II, alive, 387 days 774.1
TCGA-UB-A7MF-01A 56 years, male, white, stage:Stage IIIA, dead, 214 days 772.2
TCGA-ZP-A9D0-01A 67 years, female, black or african american, stage:'--, alive, 1091 days 769.8
TCGA-DD-AACT-01A 69 years, female, asian, stage:Stage I, alive, 1562 days 768.8
TCGA-CC-A9FS-01A 55 years, male, asian, stage:Stage II, alive, 211 days 763.4
TCGA-FV-A4ZQ-01A 52 years, male, white, stage:Stage I, alive, 12 days 761.8
TCGA-DD-A73D-01A 68 years, female, white, stage:Stage II, alive, 693 days 749.5
TCGA-DD-A3A2-01A 76 years, female, white, stage:Stage I, dead, 2131 days 744.8
TCGA-DD-A4NI-01A 67 years, male, white, stage:Stage II, alive, 816 days 742.2
TCGA-DD-AACZ-01A 63 years, female, asian, stage:Stage I, dead, 171 days 741.5
TCGA-DD-A114-01A 42 years, male, black or african american, stage:Stage II, dead, 1149 days 737.0
TCGA-DD-A4NS-01A 61 years, female, white, stage:Stage I, dead, 2456 days 734.7
TCGA-2Y-A9GY-01A 64 years, female, white, stage:Stage II, dead, 757 days 721.1
TCGA-G3-A6UC-01A 65 years, male, white, stage:Stage IIIB, alive, 671 days 713.2
TCGA-ES-A2HT-01A 54 years, male, black or african american, stage:Stage I, dead, 438 days 704.3
TCGA-G3-A25Z-01A 58 years, male, asian, stage:Stage I, alive, 655 days 691.7
TCGA-DD-AAE3-01A 50 years, male, asian, stage:Stage I, alive, 566 days 685.1
TCGA-CC-A7IK-01A 59 years, male, asian, stage:Stage IIIA, dead, 262 days 676.9
TCGA-XR-A8TG-01A 58 years, male, white, stage:Stage I, alive, 898 days 676.2
TCGA-DD-AAE7-01A 72 years, male, asian, stage:Stage I, alive, 644 days 674.7
TCGA-DD-A1EK-01A 64 years, female, white, stage:Stage IVB, dead, 558 days 672.7
TCGA-CC-5258-01A 48 years, male, asian, stage:Stage II, dead, 129 days 666.5
TCGA-RC-A6M6-01A 75 years, male, white, stage:Stage II, alive, 9 days 666.4
TCGA-ED-A7PZ-01A 61 years, male, asian, stage:Stage II, alive, 6 days 664.5
TCGA-RC-A7S9-01A 47 years, female, asian, stage:Stage I, alive, 640 days 651.2
TCGA-UB-AA0U-01A 60 years, male, white, stage:Stage II, alive, 327 days 648.8
TCGA-5C-AAPD-01A 61 years, male, asian, stage:Stage II, alive, 20 days 643.8
TCGA-WJ-A86L-01A 68 years, female, white, stage:Stage I, alive, 345 days 641.9
TCGA-FV-A3R2-01A 75 years, male, white, stage:Stage I, dead, 194 days 641.5
TCGA-2Y-A9GX-01A 68 years, male, white, stage:Stage I, alive, 2442 days 638.8
TCGA-QA-A7B7-01A 48 years, male, black or african american, stage:Stage II, alive, 94 days 637.0
TCGA-DD-AAEH-01A 73 years, male, asian, stage:Stage I, alive, 784 days 632.2
TCGA-2Y-A9GZ-01A 82 years, female, white, stage:Stage II, dead, 848 days 631.6
TCGA-FV-A3R3-01A 38 years, female, white, stage:Stage I, dead, 366 days 629.2
TCGA-CC-A5UE-01A 48 years, male, asian, stage:Stage IIIB, dead, 272 days 626.8
TCGA-CC-5259-01A 60 years, female, asian, stage:Stage IIIC, alive, 250 days 620.1
TCGA-DD-A118-01A 77 years, female, white, stage:Stage II, alive, 3437 days 617.7
TCGA-DD-A11C-01A 69 years, male, white, stage:Stage I, alive, 662 days 613.0
TCGA-DD-AAE4-01A 49 years, female, asian, stage:Stage I, alive, 608 days 603.9
TCGA-2Y-A9GU-01A 55 years, female, white, stage:Stage I, alive, 1939 days 602.8
TCGA-DD-A39W-01A 29 years, female, white, stage:Stage III, dead, 827 days 600.6
TCGA-MI-A75I-01A 61 years, male, black or african american, stage:'--, alive, 630 days 597.8
TCGA-DD-AACO-01A 40 years, male, asian, stage:Stage I, alive, 1876 days 593.3
TCGA-ED-A7XO-01A 29 years, male, asian, stage:Stage IIIA, alive, 427 days 589.8
TCGA-DD-AADP-01A 45 years, male, asian, stage:Stage I, alive, 458 days 584.6
TCGA-BC-A5W4-01A 69 years, male, white, stage:Stage IIIA, dead, 547 days 584.5
TCGA-DD-AACD-01A 48 years, male, asian, stage:Stage I, dead, 381 days 583.6
TCGA-BC-A110-01A 51 years, female, black or african american, stage:'--, dead, 2116 days 582.2
TCGA-DD-AACE-01A 62 years, male, asian, stage:Stage I, alive, 2184 days 581.4
TCGA-RG-A7D4-01A 69 years, male, black or african american, stage:Stage II, alive, 1098 days 579.5
TCGA-G3-A3CG-01A 80 years, male, white, stage:Stage I, alive, 673 days 578.4
TCGA-DD-A1EJ-01A 71 years, female, white, stage:Stage IIIC, dead, 1005 days 576.5
TCGA-CC-5263-01A 35 years, male, asian, stage:Stage IIIA, dead, 129 days 570.9
TCGA-DD-AAD5-01A 54 years, male, asian, stage:Stage I, alive, 1345 days 549.9
TCGA-DD-AADB-01A 51 years, male, asian, stage:Stage I, alive, 1242 days 548.1
TCGA-MR-A8JO-01A 34 years, male, white, stage:Stage I, alive, 330 days 543.7
TCGA-DD-A1EF-01A 57 years, female, white, stage:Stage I, dead, 394 days 540.6
TCGA-KR-A7K7-01A 61 years, female, white, stage:Stage II, alive, 951 days 536.3
TCGA-2Y-A9H6-01A 68 years, female, white, stage:Stage I, alive, 357 days 534.1
TCGA-G3-A7M8-01A 31 years, male, asian, stage:Stage I, alive, 430 days 528.8
TCGA-DD-AAVV-01A 56 years, male, asian, stage:Stage II, alive, 2455 days 526.6
TCGA-DD-A39Y-01A 67 years, male, asian, stage:Stage I, dead, 171 days 526.2
TCGA-DD-AAVU-01A 46 years, male, asian, stage:Stage II, alive, 2202 days 518.9
TCGA-FV-A496-01A 84 years, female, white, stage:Stage I, alive, 10 days 514.5
TCGA-ED-A7PX-01A 48 years, female, asian, stage:Stage II, alive, 6 days 514.4
TCGA-DD-A4NJ-01A 54 years, female, white, stage:Stage II, alive, 928 days 508.3
TCGA-2Y-A9GW-01A 64 years, male, white, stage:Stage I, dead, 1271 days 507.9
TCGA-DD-AAEB-01A 60 years, male, asian, stage:Stage I, alive, 478 days 506.2
TCGA-K7-AAU7-01A 61 years, male, white, stage:Stage II, alive, 359 days 504.5
TCGA-DD-AADS-01A 63 years, male, asian, stage:Stage I, alive, 474 days 504.5
TCGA-DD-AACC-01A 61 years, male, asian, stage:Stage I, dead, 1685 days 501.4
TCGA-DD-AAEE-01A 55 years, male, asian, stage:Stage I, alive, 810 days 493.7
TCGA-DD-AA3A-01A 81 years, female, white, stage:Stage I, dead, 410 days 488.7
TCGA-DD-AAVZ-01A 38 years, male, asian, stage:Stage I, alive, 1900 days 484.9
TCGA-FV-A495-01A 51 years, female, white, stage:Stage II, alive, 1 days 477.7
TCGA-2Y-A9H1-01A 58 years, male, white, stage:Stage I, dead, 1229 days 468.9
TCGA-G3-A3CI-01A 71 years, male, white, stage:Stage I, alive, 180 days 468.8
TCGA-2Y-A9HB-01A 66 years, male, stage:Stage I, alive, 260 days 465.9
TCGA-ED-A8O6-01A 50 years, female, asian, stage:Stage IIIA, dead, 56 days 465.9
TCGA-CC-A7IG-01A 47 years, male, asian, stage:Stage II, dead, 299 days 456.4
TCGA-BC-A69H-01A 64 years, male, white, stage:Stage II, alive, 444 days 456.1
TCGA-DD-AADD-01A 51 years, male, asian, stage:Stage I, alive, 1231 days 447.3
TCGA-CC-A3MA-01A 61 years, male, asian, stage:Stage IIIA, dead, 303 days 447.1
TCGA-DD-AACY-01A 61 years, male, asian, stage:Stage I, alive, 1450 days 442.6
TCGA-DD-AADJ-01A 70 years, female, asian, stage:Stage I, alive, 1066 days 439.6
TCGA-DD-AAVP-01A 48 years, male, asian, stage:Stage I, alive, 2752 days 439.1
TCGA-XR-A8TE-01A 16 years, male, white, stage:Stage IIIA, alive, 925 days 438.1
TCGA-DD-AAEA-01A 65 years, male, asian, stage:Stage I, alive, 575 days 435.1
TCGA-CC-A8HV-01A 51 years, female, asian, stage:Stage II, dead, 279 days 434.2
TCGA-DD-AADY-01A 55 years, female, asian, stage:Stage I, alive, 555 days 433.2
TCGA-DD-AADN-01A 59 years, male, asian, stage:Stage I, alive, 898 days 432.5
TCGA-5C-A9VH-01A 70 years, male, white, stage:Stage I, alive, 322 days 425.5
TCGA-DD-AAE6-01A 59 years, female, asian, stage:Stage I, alive, 141 days 415.5
TCGA-BC-A10Y-01A 76 years, male, white, stage:'--, dead, 711 days 412.1
TCGA-EP-A2KA-01A 52 years, female, white, stage:Stage IIIA, dead, 627 days 408.1
TCGA-ED-A97K-01A 54 years, male, asian, stage:Stage IIIA, alive, 6 days 407.2
TCGA-DD-AAE1-01A 52 years, male, asian, stage:Stage I, alive, 552 days 396.3
TCGA-G3-AAV0-01A 58 years, male, asian, stage:Stage I, alive, 476 days 396.0
TCGA-WX-AA47-01A 33 years, female, white, stage:Stage IIIA, dead, 556 days 384.6
TCGA-ZP-A9D2-01A 51 years, male, white, stage:'--, dead, 765 days 379.8
TCGA-G3-AAV7-01A 38 years, male, asian, stage:Stage II, alive, 361 days 378.9
TCGA-DD-A73G-01A 73 years, female, white, stage:Stage I, alive, 3478 days 378.3
TCGA-GJ-A6C0-01A 75 years, female, white, stage:Stage II, dead, 31 days 378.2
TCGA-DD-AACP-01A 64 years, male, asian, stage:Stage I, alive, 415 days 366.2
TCGA-DD-A3A9-01A 64 years, female, white, stage:Stage IVB, dead, 931 days 362.3
TCGA-DD-AACG-01A 52 years, male, asian, stage:Stage II, dead, 469 days 361.6
TCGA-G3-A25Y-01A 52 years, female, asian, stage:Stage I, dead, 452 days 357.9
TCGA-BC-A216-01A 62 years, female, white, stage:Stage IIIA, alive, 1351 days 356.7
TCGA-ED-A66X-01A 35 years, male, asian, stage:Stage IIIA, alive, 406 days 353.5
TCGA-UB-A7MA-01A 62 years, female, white, stage:Stage II, alive, 848 days 352.7
TCGA-DD-A39Z-01A 43 years, female, stage:Stage II, dead, 601 days 352.3
TCGA-WQ-A9G7-01A 71 years, female, white, stage:'--, alive, 30 days 351.7
TCGA-CC-A7IE-01A 57 years, male, asian, stage:Stage IIIA, dead, 217 days 345.6
TCGA-DD-A4ND-01A 56 years, female, white, stage:Stage I, alive, 2746 days 342.1
TCGA-DD-A73F-01A 77 years, female, white, stage:Stage I, alive, 1085 days 328.1
TCGA-DD-AAD1-01A 51 years, female, asian, stage:Stage I, alive, 564 days 325.5
TCGA-DD-AACL-01A 66 years, female, asian, stage:Stage I, dead, 107 days 316.2
TCGA-KR-A7K2-01A 64 years, male, white, stage:Stage I, alive, 829 days 315.5
TCGA-BC-A3KF-01A 66 years, female, white, stage:Stage I, alive, 8 days 300.5
TCGA-2Y-A9H5-01A 59 years, female, white, stage:Stage I, dead, 555 days 298.5
TCGA-G3-A25X-01A 73 years, male, asian, stage:Stage II, alive, 1779 days 298.3
TCGA-CC-A7IJ-01A 56 years, male, asian, stage:Stage II, alive, 382 days 283.4
TCGA-BC-A217-01A 75 years, female, white, stage:Stage II, dead, 1397 days 279.4
TCGA-UB-A7ME-01A 51 years, male, asian, stage:Stage I, alive, 486 days 261.1
TCGA-DD-AACN-01A 32 years, male, asian, stage:Stage I, alive, 1302 days 259.4
TCGA-2Y-A9H3-01A 45 years, male, white, stage:Stage II, alive, 1516 days 259.3
TCGA-EP-A2KB-01A 46 years, female, white, stage:Stage I, dead, 596 days 258.7
TCGA-FV-A4ZP-01A 78 years, male, white, stage:Stage IIIA, dead, 2486 days 255.3
TCGA-BD-A2L6-01A 69 years, male, white, stage:'--, alive, 1363 days 253.6
TCGA-DD-AAED-01A 51 years, male, asian, stage:Stage I, alive, 763 days 252.5
TCGA-DD-AACW-01A 43 years, male, asian, stage:Stage I, alive, 1424 days 250.4
TCGA-5C-A9VG-01A 58 years, male, white, stage:Stage II, alive, 328 days 233.3
TCGA-ED-A7PY-01A 20 years, female, asian, stage:Stage II, alive, 390 days 232.8
TCGA-DD-AADO-01A 55 years, male, asian, stage:Stage I, alive, 453 days 229.7
TCGA-DD-AADA-01A 66 years, female, asian, stage:Stage I, alive, 1233 days 219.1
TCGA-DD-A4NH-01A 65 years, female, white, stage:Stage IIIB, alive, 917 days 217.1
TCGA-G3-A7M9-01A 70 years, male, white, stage:Stage IIIB, dead, 56 days 216.6
TCGA-2Y-A9H2-01A 64 years, female, white, stage:Stage I, alive, 1731 days 213.5
TCGA-DD-A3A7-01A 67 years, male, stage:Stage IIIB, dead, 419 days 211.6
TCGA-G3-A7M6-01A 60 years, female, white, stage:Stage I, alive, 632 days 166.8
TCGA-FV-A23B-01A 70 years, female, white, stage:Stage II, dead, 1852 days 160.0
TCGA-CC-A7II-01A 54 years, male, asian, stage:Stage IIIA, alive, 399 days 158.6
TCGA-DD-A4NA-01A 67 years, female, white, stage:Stage IIIC, alive, 1008 days 155.0
TCGA-G3-AAV6-01A 53 years, female, white, stage:Stage IIIA, dead, 65 days 149.8
TCGA-DD-AAVQ-01A 38 years, male, asian, stage:Stage I, alive, 2728 days 144.5
TCGA-RC-A7SH-01A 42 years, male, asian, stage:Stage II, alive, 468 days 143.4
TCGA-DD-AADW-01A 48 years, male, asian, stage:Stage I, alive, 587 days 137.1
TCGA-2Y-A9H7-01A 81 years, female, white, stage:Stage I, alive, 1168 days 134.3
TCGA-DD-A1EH-01A 23 years, male, white, stage:Stage III, alive, 1495 days 126.2
TCGA-CC-A123-01A 24 years, female, asian, stage:Stage IIIA, alive, 219 days 114.0
TCGA-CC-5261-01A 44 years, male, asian, stage:Stage II, dead, 97 days 113.1
TCGA-CC-5260-01A 61 years, female, asian, stage:Stage IIIC, dead, 87 days 104.8
TCGA-2Y-A9H8-01A 85 years, female, white, stage:'--, dead, 633 days 87.7
TCGA-DD-A3A6-01A 72 years, female, white, stage:Stage II, dead, 3258 days 85.9
TCGA-ED-A82E-01A 60 years, female, asian, stage:Stage IIIA, alive, 408 days 82.0
TCGA-G3-A25T-01A 45 years, female, white, stage:Stage IIIA, alive, 1553 days 76.0
TCGA-CC-A8HS-01A 18 years, male, asian, stage:Stage IIIC, dead, 300 days 71.1
TCGA-DD-AAE0-01A 45 years, female, asian, stage:Stage IIIA, alive, 555 days 30.5
TCGA-ED-A5KG-01A 60 years, female, asian, stage:Stage II, alive, 854 days 25.6
TCGA-CC-A3M9-01A 45 years, male, asian, stage:Stage IIIA, dead, 300 days 22.3
TCGA-ED-A66Y-01A 51 years, female, asian, stage:Stage IIIA, dead, 296 days 15.4
TCGA-DD-A4NN-01A 56 years, female, white, stage:Stage I, dead, 899 days 9.2
TCGA-ED-A8O5-01A 59 years, female, asian, stage:Stage IIIA, alive, 406 days 5.4
TCGA-BC-A10Q-01A 72 years, female, white, stage:'--, dead, 1135 days 3.3
TCGA-FV-A3I0-01A 76 years, female, white, stage:Stage II, alive, 848 days 2.2
TCGA-DD-AADI-01A 43 years, female, asian, stage:Stage I, alive, 1085 days 2.1
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LIVER HEPATOCELLULAR CARCINOMA (VALIDATION) - Interactive survival scatter ploti

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.

MGST1 is not prognostic in Liver Hepatocellular Carcinoma (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.

: 572.96
Median expressioni

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.

: N/A
Median follow up timei

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 pTPM 1134.2
Number of samples 231
Samples
Sample Description pTPM
DO48704 68 years, female, NA, stage:3, alive, 750 days 3782.7
DO45129 61 years, male, NA, stage:3, alive, 1470 days 3717.0
DO23539 77 years, male, NA, stage:1, alive, 1110 days 3301.2
DO45123 78 years, female, NA, stage:2, dead, 570 days 3261.4
DO45245 75 years, female, NA, stage:2, dead, 240 days 3157.5
DO48723 73 years, male, NA, stage:1, alive, 600 days 3099.2
DO23509 60 years, male, NA, stage:3, dead, 780 days 2929.2
DO45253 50 years, male, NA, stage:2, alive, 870 days 2801.5
DO23510 80 years, female, NA, stage:2, alive, 870 days 2637.5
DO45137 38 years, male, NA, stage:1, alive, 1320 days 2545.4
DO50774 68 years, female, NA, stage:2, alive, 720 days 2509.6
DO48682 72 years, female, NA, stage:3, dead, 120 days 2500.2
DO48759 73 years, male, NA, stage:3, alive, 720 days 2404.2
DO45171 56 years, male, NA, stage:3, alive, 600 days 2315.6
DO45257 46 years, male, NA, stage:3, alive, 810 days 2305.3
DO48751 68 years, male, NA, stage:2, dead, 480 days 2270.2
DO23535 67 years, male, NA, stage:1, alive, 960 days 2225.1
DO50859 77 years, male, NA, stage:2, alive, 180 days 2204.8
DO45227 57 years, female, NA, stage:2, alive, 1020 days 2191.9
DO50787 63 years, male, NA, stage:3, alive, 480 days 2181.2
DO48695 77 years, male, NA, stage:2, alive, 720 days 2160.2
DO23542 66 years, male, NA, stage:3, alive, 960 days 2150.7
DO48716 71 years, male, NA, stage:2, alive, 720 days 2108.1
DO23533 61 years, male, NA, stage:2, alive, 900 days 2053.6
DO48672 81 years, male, NA, stage:2, alive, 450 days 2044.7
DO50783 62 years, male, NA, stage:3, alive, 480 days 2040.0
DO23511 83 years, female, NA, stage:3, dead, 180 days 2028.8
DO48732 73 years, male, NA, stage:3, alive, 630 days 2006.7
DO50791 79 years, female, NA, stage:1, dead, 480 days 1969.0
DO50808 68 years, male, NA, stage:2, alive, 570 days 1966.6
DO50798 77 years, male, NA, stage:3, dead, 30 days 1959.4
DO50825 70 years, male, NA, stage:2, alive, 390 days 1934.5
DO45135 77 years, male, NA, stage:1, alive, 1410 days 1926.4
DO45097 69 years, male, NA, stage:3, alive, 1620 days 1918.4
DO45201 49 years, male, NA, stage:1, alive, 900 days 1902.3
DO45169 74 years, male, NA, stage:3, alive, 1350 days 1878.4
DO45163 76 years, male, NA, stage:2, alive, 960 days 1876.8
DO50802 49 years, male, NA, stage:2, alive, 930 days 1843.0
DO45267 73 years, male, NA, stage:3, dead, 570 days 1828.8
DO23540 73 years, male, NA, stage:1, alive, 750 days 1809.8
DO45175 74 years, male, NA, stage:2, alive, 1140 days 1763.7
DO23518 67 years, male, NA, stage:2, alive, 1320 days 1749.7
DO45215 65 years, male, NA, stage:2, alive, 1170 days 1730.1
DO23519 65 years, male, NA, stage:3, alive, 630 days 1727.5
DO45093 71 years, male, NA, stage:2, dead, 720 days 1680.6
DO23550 69 years, male, NA, stage:1, alive, 990 days 1604.9
DO48727 81 years, female, NA, stage:2, dead, 390 days 1582.0
DO50816 63 years, male, NA, stage:2, alive, 390 days 1579.5
DO45143 69 years, male, NA, stage:3, alive, 1290 days 1549.2
DO48741 64 years, male, NA, stage:3, alive, 240 days 1549.0
DO45255 81 years, male, NA, stage:3, alive, 720 days 1540.2
DO45195 62 years, male, NA, stage:1, alive, 390 days 1539.1
DO48725 66 years, male, NA, stage:1, alive, 780 days 1526.5
DO48728 74 years, female, NA, stage:2, alive, 150 days 1507.3
DO45101 63 years, male, NA, stage:2, alive, 1680 days 1503.2
DO48719 80 years, male, NA, stage:2, alive, 690 days 1501.9
DO45099 46 years, male, NA, stage:3, alive, 1590 days 1494.0
DO48677 58 years, male, NA, stage:3, alive, 1140 days 1493.7
DO45157 62 years, male, NA, stage:2, alive, 1980 days 1483.8
DO45115 81 years, male, NA, stage:2, alive, 840 days 1470.8
DO50850 74 years, male, NA, stage:3, alive, 720 days 1453.3
DO48742 76 years, male, NA, stage:2, alive, 600 days 1452.0
DO45177 81 years, female, NA, stage:3, alive, 1260 days 1448.6
DO45145 78 years, male, NA, stage:3, dead, 60 days 1444.6
DO50809 56 years, male, NA, stage:3, dead, 720 days 1421.3
DO45133 64 years, male, NA, stage:3, dead, 660 days 1407.9
DO50789 73 years, female, NA, stage:2, alive, 570 days 1395.7
DO48721 58 years, female, NA, stage:1, alive, 900 days 1395.1
DO48757 68 years, female, NA, stage:3, alive, 480 days 1390.6
DO50840 49 years, male, NA, stage:2, alive, 330 days 1373.6
DO45281 83 years, male, NA, stage:4, alive, 750 days 1371.2
DO50776 75 years, male, NA, stage:1, alive, 690 days 1368.2
DO45109 63 years, male, NA, stage:2, alive, 1590 days 1367.9
DO45119 74 years, male, NA, stage:3, dead, 510 days 1361.7
DO45094 76 years, male, NA, stage:3, alive, 1650 days 1339.7
DO45207 68 years, male, NA, stage:1, alive, 1050 days 1338.6
DO50813 56 years, male, NA, stage:2, alive, 420 days 1335.4
DO50793 76 years, male, NA, stage:4, alive, 540 days 1332.5
DO50822 66 years, male, NA, stage:2, alive, 510 days 1329.6
DO45235 68 years, female, NA, stage:1, alive, 900 days 1301.9
DO50817 75 years, male, NA, stage:2, alive, 390 days 1296.8
DO50803 62 years, female, NA, stage:1, alive, 540 days 1278.7
DO23512 60 years, male, NA, stage:1, alive, 1260 days 1274.3
DO23541 65 years, male, NA, stage:2, alive, 930 days 1273.5
DO45219 78 years, male, NA, stage:2, alive, 1080 days 1260.6
DO23521 63 years, male, NA, stage:3, alive, 1110 days 1252.6
DO45095 66 years, male, NA, stage:2, alive, 1620 days 1249.0
DO45091 56 years, male, NA, stage:2, dead, 1320 days 1235.5
DO50806 70 years, male, NA, stage:4, alive, 540 days 1228.1
DO23546 63 years, male, NA, stage:2, alive, 1050 days 1209.7
DO48746 76 years, male, NA, stage:3, alive, 570 days 1206.5
DO45221 75 years, female, NA, stage:4, dead, 390 days 1202.0
DO23543 63 years, male, NA, stage:2, alive, 1020 days 1197.3
DO23548 78 years, female, NA, stage:1, alive, 840 days 1195.7
DO48679 72 years, male, NA, stage:2, alive, 1200 days 1191.8
DO23525 71 years, male, NA, stage:4, alive, 1050 days 1188.5
DO45165 75 years, male, NA, stage:2, alive, 690 days 1182.4
DO23517 62 years, male, NA, stage:2, alive, 1200 days 1181.5
DO50845 72 years, male, NA, stage:3, alive, 210 days 1181.1
DO50811 62 years, male, NA, stage:1, alive, 450 days 1151.7
DO48701 78 years, male, NA, stage:2, alive, 780 days 1148.7
DO48743 69 years, female, NA, stage:2, alive, 570 days 1143.1
DO227643 79 years, male, NA, stage:2, alive, 1260 days 1132.7
DO45149 70 years, female, NA, stage:2, alive, 1260 days 1127.8
DO45131 53 years, male, NA, stage:4, dead, 360 days 1094.9
DO45111 74 years, male, NA, stage:2, alive, 1590 days 1092.6
DO227801 77 years, female, NA, stage:1, alive, 660 days 1090.5
DO48674 80 years, male, NA, stage:2, alive, 1260 days 1082.3
DO50799 66 years, female, NA, stage:2, alive, 540 days 1075.2
DO50839 47 years, female, NA, stage:3, alive, 330 days 1072.2
DO48730 73 years, female, NA, stage:2, alive, 630 days 1057.7
DO45141 73 years, male, NA, stage:2, alive, 1320 days 1057.5
DO45265 73 years, male, NA, stage:3, alive, 1020 days 1051.9
DO50800 74 years, male, NA, stage:2, alive, 510 days 1045.1
DO23527 72 years, male, NA, stage:1, alive, 1050 days 1040.2
DO45153 77 years, female, NA, stage:2, alive, 1380 days 1037.4
DO50805 72 years, male, NA, stage:2, alive, 690 days 1035.8
DO45203 71 years, female, NA, stage:2, alive, 1170 days 1023.9
DO48761 55 years, male, NA, stage:2, alive, 870 days 1019.4
DO45205 67 years, female, NA, stage:2, dead, 90 days 1016.8
DO45225 69 years, male, NA, stage:1, alive, 1050 days 1016.6
DO48760 70 years, female, NA, stage:2, alive, 690 days 1015.6
DO48697 64 years, female, NA, stage:2, dead, 810 days 990.1
DO48700 78 years, female, NA, stage:2, alive, 810 days 987.5
DO45117 73 years, female, NA, stage:2, dead, 1110 days 983.5
DO23549 74 years, male, NA, stage:3, alive, 990 days 979.7
DO45181 84 years, female, NA, stage:2, alive, 1200 days 962.9
DO45103 47 years, male, NA, stage:3, alive, 450 days 955.8
DO45113 58 years, male, NA, stage:3, alive, 1560 days 949.5
DO45223 67 years, male, NA, stage:4, alive, 1020 days 944.6
DO50819 72 years, female, NA, stage:2, alive, 510 days 944.0
DO45167 67 years, male, NA, stage:2, dead, 1440 days 925.0
DO45239 42 years, male, NA, stage:2, alive, 870 days 924.6
DO45107 63 years, female, NA, stage:2, alive, 1710 days 912.7
DO23514 64 years, male, NA, stage:2, alive, 1290 days 910.5
DO45191 61 years, female, NA, stage:2, alive, 1200 days 907.2
DO48733 72 years, male, NA, stage:2, alive, 600 days 906.8
DO23531 78 years, female, NA, stage:3, alive, 900 days 900.3
DO23538 67 years, male, NA, stage:2, alive, 450 days 881.7
DO48712 50 years, male, NA, stage:2, alive, 810 days 875.8
DO45233 83 years, male, NA, stage:3, alive, 900 days 870.9
DO50804 81 years, male, NA, stage:2, alive, 720 days 866.6
DO45161 74 years, male, NA, stage:2, dead, 540 days 866.3
DO23529 72 years, male, NA, stage:4, alive, 930 days 852.2
DO23545 67 years, male, NA, stage:2, dead, 570 days 815.7
DO45229 74 years, male, NA, stage:1, alive, 990 days 810.0
DO50857 72 years, male, NA, stage:2, alive, 210 days 803.2
DO48720 62 years, female, NA, stage:2, alive, 570 days 795.5
DO23524 71 years, female, NA, stage:2, alive, 1050 days 793.9
DO23551 73 years, male, NA, stage:3, dead, 150 days 786.1
DO45092 62 years, male, NA, stage:4, dead, 1200 days 779.3
DO45269 59 years, male, NA, stage:3, alive, 750 days 775.9
DO23536 56 years, male, NA, stage:2, alive, 930 days 775.6
DO45217 69 years, female, NA, stage:3, dead, 270 days 765.8
DO45179 78 years, female, NA, stage:2, alive, 600 days 756.2
DO23552 80 years, female, NA, stage:1, alive, 810 days 751.9
DO45277 64 years, male, NA, stage:3, alive, 600 days 740.0
DO45105 61 years, male, NA, stage:1, alive, 1680 days 731.3
DO45173 63 years, male, NA, stage:3, alive, 1170 days 722.4
DO45159 65 years, male, NA, stage:3, alive, 1470 days 712.8
DO23508 79 years, female, NA, stage:2, alive, 390 days 707.5
DO48715 58 years, female, NA, stage:2, dead, 690 days 677.4
DO48736 76 years, female, NA, stage:1, alive, 600 days 674.7
DO23513 76 years, male, NA, stage:3, alive, 1200 days 670.3
DO50829 78 years, male, NA, stage:3, alive, 570 days 665.5
DO45305 66 years, male, NA, stage:4, alive, 300 days 660.0
DO23534 60 years, male, NA, stage:2, alive, 840 days 657.8
DO48706 72 years, male, NA, stage:2, alive, 870 days 657.4
DO50832 73 years, male, NA, stage:3, alive, 90 days 654.6
DO50818 65 years, male, NA, stage:2, alive, 510 days 650.4
DO45139 63 years, male, NA, stage:3, alive, 1320 days 633.5
DO45199 86 years, female, NA, stage:2, alive, 1350 days 632.1
DO23526 66 years, male, NA, stage:3, alive, 1050 days 626.5
DO23547 74 years, male, NA, stage:1, alive, 1020 days 619.9
DO45125 58 years, male, NA, stage:3, alive, 1680 days 603.5
DO50778 60 years, male, NA, stage:4, alive, 630 days 598.3
DO50844 75 years, male, NA, stage:4, alive, 300 days 588.0
DO45273 62 years, male, NA, stage:2, alive, 480 days 573.0
DO45263 67 years, male, NA, stage:3, dead, 270 days 563.0
DO48717 54 years, male, NA, stage:4, dead, 180 days 561.1
DO23516 69 years, male, NA, stage:3, dead, 20 days 557.2
DO45231 84 years, male, NA, stage:2, alive, 930 days 542.9
DO45096 69 years, male, NA, stage:2, dead, 1290 days 530.5
DO45213 58 years, male, NA, stage:1, alive, 1200 days 525.2
DO45243 74 years, female, NA, stage:3, alive, 930 days 519.1
DO45155 69 years, male, NA, stage:2, alive, 2160 days 514.0
DO45237 58 years, male, NA, stage:2, alive, 900 days 513.5
DO23537 79 years, male, NA, stage:2, dead, 900 days 508.7
DO45183 72 years, female, NA, stage:2, dead, 570 days 478.2
DO45241 49 years, male, NA, stage:1, alive, 1080 days 475.3
DO45283 60 years, male, NA, stage:3, alive, 510 days 475.2
DO50807 67 years, male, NA, stage:1, alive, 540 days 456.0
DO45197 51 years, male, NA, stage:2, alive, 1170 days 455.0
DO48693 71 years, male, NA, stage:2, alive, 900 days 440.4
DO45121 61 years, male, NA, stage:3, alive, 1530 days 411.5
DO23530 53 years, male, NA, stage:4, dead, 180 days 409.2
DO23544 67 years, male, NA, stage:2, alive, 960 days 388.4
DO50785 37 years, male, NA, stage:4, dead, 90 days 384.8
DO45193 68 years, female, NA, stage:4, dead, 120 days 383.1
DO45249 57 years, male, NA, stage:1, alive, 630 days 375.9
DO45247 31 years, female, NA, stage:2, alive, 210 days 373.1
DO50820 77 years, female, NA, stage:3, alive, 510 days 367.3
DO48737 52 years, male, NA, stage:1, alive, 720 days 346.7
DO23528 45 years, female, NA, stage:2, alive, 1020 days 336.3
DO48681 57 years, male, NA, stage:2, alive, 900 days 322.4
DO50814 83 years, male, NA, stage:3, alive, 420 days 319.3
DO50815 62 years, male, NA, stage:3, alive, 150 days 316.2
DO45301 56 years, male, NA, stage:2, dead, 1440 days 314.4
DO45261 74 years, male, NA, stage:3, alive, 990 days 308.0
DO45275 65 years, male, NA, stage:3, dead, 10 days 297.0
DO45297 61 years, female, NA, stage:4, dead, 1260 days 282.7
DO45299 70 years, female, NA, stage:1, alive, 1440 days 281.5
DO45285 59 years, male, NA, stage:3, alive, 480 days 274.9
DO23532 71 years, female, NA, stage:1, alive, 960 days 262.4
DO48747 62 years, male, NA, stage:3, alive, 540 days 248.9
DO45251 57 years, female, NA, stage:2, alive, 900 days 247.3
DO45307 54 years, female, NA, stage:4, dead, 240 days 241.1
DO45187 32 years, female, NA, stage:1, alive, 1260 days 231.9
DO45279 67 years, male, NA, stage:3, alive, 1290 days 224.8
DO45185 89 years, male, NA, stage:2, alive, 600 days 177.6
DO50855 47 years, male, NA, stage:2, alive, 570 days 169.6
DO45211 76 years, male, NA, stage:3, alive, 240 days 118.3
DO23523 52 years, male, NA, stage:3, alive, 1080 days 104.7
DO45127 73 years, male, NA, stage:3, dead, 420 days 95.8
DO45289 78 years, female, NA, stage:3, alive, 360 days 70.0
DO45287 74 years, male, NA, stage:1, alive, 390 days 66.7
DO45209 70 years, male, NA, stage:4, alive, 1350 days 58.5
DO45189 85 years, female, NA, stage:2, alive, 1200 days 23.7
DO45303 62 years, female, NA, stage:3, alive, 990 days 19.2
DO23515 71 years, male, NA, stage:2, alive, 1230 days 7.2
DO45259 65 years, male, NA, stage:3, alive, 330 days 1.5
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LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples 330
Samples
Sample ID Sample type nRPX
128 Normal 0.7
465 Tumor 0.6
1022 Normal 0.6
1026 Normal 0.6
862 Normal 0.6
868 Normal 0.5
914 Normal 0.5
698 Normal 0.5
436 Normal 0.5
816 Normal 0.5
1028 Normal 0.5
864 Normal 0.5
1046 Normal 0.5
636 Normal 0.5
1032 Normal 0.5
744 Normal 0.5
462 Normal 0.5
742 Normal 0.5
824 Normal 0.5
866 Normal 0.5
728 Normal 0.4
746 Normal 0.4
616 Normal 0.4
466 Normal 0.4
1016 Normal 0.4
423 Tumor 0.4
738 Normal 0.4
422 Normal 0.4
196 Normal 0.4
142 Normal 0.4
911 Tumor 0.4
878 Normal 0.4
1044 Normal 0.4
852 Normal 0.4
414 Normal 0.4
228 Normal 0.4
424 Normal 0.4
286 Normal 0.4
982 Normal 0.4
722 Normal 0.4
432 Normal 0.4
448 Normal 0.4
882 Normal 0.3
376 Normal 0.3
212 Normal 0.3
786 Normal 0.3
127 Tumor 0.3
314 Normal 0.3
426 Normal 0.3
723 Tumor 0.3
572 Normal 0.3
648 Normal 0.3
342 Normal 0.3
741 Tumor 0.3
452 Normal 0.3
857 Tumor 0.3
558 Normal 0.3
976 Normal 0.3
474 Normal 0.3
284 Normal 0.3
111 Normal 0.3
132 Normal 0.3
232 Normal 0.3
615 Tumor 0.3
278 Normal 0.3
1014 Normal 0.3
564 Normal 0.3
332 Normal 0.3
388 Normal 0.3
858 Normal 0.3
874 Normal 0.3
745 Tumor 0.3
482 Normal 0.3
428 Normal 0.3
412 Normal 0.3
938 Normal 0.3
642 Normal 0.3
468 Normal 0.3
714 Normal 0.3
968 Normal 0.3
354 Normal 0.3
494 Normal 0.3
964 Normal 0.3
912 Normal 0.3
618 Normal 0.3
137 Tumor 0.3
172 Normal 0.3
628 Normal 0.3
756 Normal 0.3
328 Normal 0.3
922 Normal 0.3
568 Normal 0.3
563 Tumor 0.2
481 Tumor 0.2
696 Normal 0.2
716 Normal 0.2
362 Normal 0.2
298 Normal 0.2
818 Normal 0.2
686 Normal 0.2
224 Normal 0.2
262 Normal 0.2
272 Normal 0.2
477 Tumor 0.2
356 Normal 0.2
884 Normal 0.2
186 Normal 0.2
1042 Normal 0.2
488 Normal 0.2
352 Normal 0.2
944 Normal 0.2
222 Normal 0.2
778 Normal 0.2
464 Normal 0.2
358 Normal 0.2
392 Normal 0.2
662 Normal 0.2
528 Normal 0.2
214 Normal 0.2
258 Normal 0.2
984 Normal 0.2
978 Normal 0.1
981 Tumor 0.1
472 Normal 0.1
162 Normal 0.1
534 Normal 0.1
918 Normal 0.1
574 Normal 0.1
416 Normal 0.1
446 Normal 0.1
954 Normal 0.1
364 Normal 0.1
112 Tumor 0.1
526 Normal 0.1
394 Normal 0.1
546 Normal 0.1
456 Normal 0.1
148 Normal 0.1
384 Normal 0.1
366 Normal 0.1
952 Normal 0.1
1045 Tumor 0.1
484 Normal 0.1
571 Tumor 0.1
956 Normal 0.1
867 Tumor 0.1
664 Normal 0.1
327 Tumor 0.1
114 Normal 0.1
421 Tumor 0.1
955 Tumor 0.1
312 Normal 0.1
913 Tumor 0.1
627 Tumor 0.1
145 Tumor 0.1
926 Normal 0.1
873 Tumor 0.0
518 Normal 0.0
113 Tumor 0.0
136 Normal 0.0
396 Normal 0.0
344 Normal 0.0
443 Tumor 0.0
126 Normal 0.0
513 Tumor 0.0
666 Normal 0.0
685 Tumor 0.0
138 Normal 0.0
924 Normal 0.0
966 Normal 0.0
538 Normal 0.0
916 Normal 0.0
514 Normal 0.0
915 Tumor 0.0
663 Tumor 0.0
755 Tumor 0.0
124 Normal 0.0
146 Normal 0.0
554 Normal -0.1
478 Normal -0.1
365 Tumor -0.1
434 Normal -0.1
444 Normal -0.1
1015 Tumor -0.1
353 Tumor -0.1
865 Tumor -0.1
361 Tumor -0.1
721 Tumor -0.1
713 Tumor -0.1
268 Normal -0.1
958 Normal -0.1
415 Tumor -0.1
188 Normal -0.1
368 Normal -0.1
218 Normal -0.1
1041 Tumor -0.1
431 Tumor -0.1
386 Normal -0.1
672 Normal -0.1
617 Tumor -0.2
185 Tumor -0.2
1043 Tumor -0.2
516 Normal -0.2
527 Tumor -0.2
135 Tumor -0.2
925 Tumor -0.2
261 Tumor -0.2
498 Normal -0.2
411 Tumor -0.2
647 Tumor -0.2
435 Tumor -0.2
375 Tumor -0.2
557 Tumor -0.2
492 Normal -0.2
147 Tumor -0.3
1013 Tumor -0.3
491 Tumor -0.3
851 Tumor -0.3
451 Tumor -0.3
191 Tumor -0.3
665 Tumor -0.3
267 Tumor -0.3
883 Tumor -0.3
567 Tumor -0.3
861 Tumor -0.3
187 Tumor -0.4
493 Tumor -0.4
227 Tumor -0.4
697 Tumor -0.4
433 Tumor -0.4
524 Normal -0.4
823 Tumor -0.4
461 Tumor -0.4
195 Tumor -0.4
383 Tumor -0.4
515 Tumor -0.5
937 Tumor -0.5
777 Tumor -0.5
231 Tumor -0.5
573 Tumor -0.5
363 Tumor -0.5
192 Normal -0.5
217 Tumor -0.5
1027 Tumor -0.5
814 Normal -0.5
715 Tumor -0.5
963 Tumor -0.5
785 Tumor -0.6
357 Tumor -0.6
223 Tumor -0.6
387 Tumor -0.6
313 Tumor -0.6
863 Tumor -0.6
537 Tumor -0.6
536 Normal -0.6
171 Tumor -0.6
467 Tumor -0.6
1025 Tumor -0.6
525 Tumor -0.6
455 Tumor -0.6
695 Tumor -0.6
393 Tumor -0.6
447 Tumor -0.6
445 Tumor -0.7
923 Tumor -0.7
161 Tumor -0.7
257 Tumor -0.7
391 Tumor -0.7
724 Normal -0.7
427 Tumor -0.8
141 Tumor -0.8
957 Tumor -0.8
355 Tumor -0.8
533 Tumor -0.8
967 Tumor -0.8
341 Tumor -0.9
1021 Tumor -0.9
471 Tumor -0.9
483 Tumor -0.9
473 Tumor -0.9
213 Tumor -0.9
881 Tumor -0.9
413 Tumor -0.9
727 Tumor -0.9
367 Tumor -0.9
297 Tumor -0.9
425 Tumor -1.0
463 Tumor -1.0
815 Tumor -1.0
983 Tumor -1.0
487 Tumor -1.0
977 Tumor -1.0
517 Tumor -1.0
813 Tumor -1.0
943 Tumor -1.0
395 Tumor -1.0
917 Tumor -1.1
641 Tumor -1.1
123 Tumor -1.1
877 Tumor -1.1
523 Tumor -1.1
953 Tumor -1.1
311 Tumor -1.1
553 Tumor -1.1
277 Tumor -1.1
635 Tumor -1.1
331 Tumor -1.2
497 Tumor -1.2
737 Tumor -1.2
343 Tumor -1.2
975 Tumor -1.2
351 Tumor -1.2
817 Tumor -1.3
125 Tumor -1.3
285 Tumor -1.3
951 Tumor -1.3
271 Tumor -1.3
535 Tumor -1.4
283 Tumor -1.4
965 Tumor -1.5
671 Tumor -1.5
1031 Tumor -1.5
131 Tumor -1.5
211 Tumor -1.6
921 Tumor -1.6
385 Tumor -1.7
545 Tumor -1.7
661 Tumor -1.7
743 Tumor -1.7
221 Tumor -1.7
Show allShow less
LIVER 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.


Antibody HPA044840
 Staining
  High
  Medium
  Low
  Not detected
 Intensity
  Strong
  Moderate
  Weak
  Negative
 Quantity
  >75%
  75%-25%
  <25%
  None
 Location
  Nuclear
  Cytoplasmic/membranous
  Cytoplasmic/membranous,nuclear
  None
Cholangiocarcinoma
Carcinoma, Hepatocellular, NOS

Contact

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