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  • KNG1
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
AND
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.

KNG1 is validated prognostic, high expression is favorable 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.

: 766.12
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 1355.5
Number of samples 362
Samples
Sample Description pTPM
TCGA-DD-AADY-01A 55 years, female, asian, stage:Stage I, alive, 555 days 5274.1
TCGA-DD-A3A5-01A 66 years, female, white, stage:Stage III, dead, 3125 days 5151.5
TCGA-DD-A73C-01A 65 years, female, white, stage:Stage IIIA, alive, 701 days 5092.7
TCGA-BC-A5W4-01A 69 years, male, white, stage:Stage IIIA, dead, 547 days 4896.1
TCGA-G3-A5SI-01A 44 years, male, asian, stage:Stage II, dead, 768 days 4726.5
TCGA-DD-AAE2-01A 51 years, male, asian, stage:Stage I, alive, 638 days 4697.3
TCGA-ZP-A9D0-01A 67 years, female, black or african american, stage:'--, alive, 1091 days 4604.0
TCGA-XR-A8TG-01A 58 years, male, white, stage:Stage I, alive, 898 days 4483.3
TCGA-DD-AACV-01A 53 years, male, asian, stage:Stage I, alive, 1531 days 4454.6
TCGA-2Y-A9GU-01A 55 years, female, white, stage:Stage I, alive, 1939 days 4376.4
TCGA-DD-A11C-01A 69 years, male, white, stage:Stage I, alive, 662 days 4050.3
TCGA-DD-A1EB-01A 72 years, female, stage:Stage I, alive, 2017 days 4001.3
TCGA-DD-A115-01A 53 years, male, white, stage:Stage IIIA, dead, 2542 days 3662.0
TCGA-DD-A11B-01A 73 years, male, white, stage:Stage I, dead, 14 days 3619.4
TCGA-QA-A7B7-01A 48 years, male, black or african american, stage:Stage II, alive, 94 days 3588.2
TCGA-G3-A25U-01A 63 years, female, asian, stage:Stage I, alive, 1636 days 3494.3
TCGA-BC-A10Z-01A 62 years, female, white, stage:Stage I, dead, 34 days 3476.7
TCGA-ZS-A9CF-01A 64 years, male, white, stage:Stage II, alive, 2412 days 3452.7
TCGA-DD-AADP-01A 45 years, male, asian, stage:Stage I, alive, 458 days 3316.3
TCGA-BC-A10T-01A 76 years, male, white, stage:'--, dead, 837 days 3286.3
TCGA-DD-AACS-01A 39 years, male, asian, stage:Stage I, alive, 1804 days 3277.7
TCGA-DD-AACW-01A 43 years, male, asian, stage:Stage I, alive, 1424 days 3246.5
TCGA-BC-A217-01A 75 years, female, white, stage:Stage II, dead, 1397 days 3235.1
TCGA-PD-A5DF-01A 58 years, female, white, stage:Stage IIIB, dead, 639 days 3108.9
TCGA-ED-A8O5-01A 59 years, female, asian, stage:Stage IIIA, alive, 406 days 3096.2
TCGA-NI-A4U2-01A 71 years, male, white, stage:Stage IIIA, dead, 1791 days 2931.5
TCGA-BC-A3KG-01A 68 years, female, white, stage:Stage II, alive, 680 days 2926.2
TCGA-ZS-A9CE-01A 79 years, female, white, stage:Stage II, alive, 1241 days 2888.5
TCGA-DD-AADV-01A 50 years, male, asian, stage:Stage I, alive, 574 days 2867.6
TCGA-3K-AAZ8-01A 65 years, male, black or african american, stage:Stage IIIB, alive, 396 days 2831.6
TCGA-FV-A3R2-01A 75 years, male, white, stage:Stage I, dead, 194 days 2733.1
TCGA-RC-A7SB-01A 53 years, male, asian, stage:Stage II, alive, 588 days 2707.9
TCGA-DD-AADJ-01A 70 years, female, asian, stage:Stage I, alive, 1066 days 2691.0
TCGA-UB-A7MB-01A 24 years, male, white, stage:Stage II, alive, 601 days 2631.0
TCGA-4R-AA8I-01A 66 years, male, white, stage:Stage II, dead, 262 days 2625.5
TCGA-BW-A5NO-01A 50 years, male, black or african american, stage:Stage IIIA, alive, 20 days 2613.4
TCGA-BC-A10Y-01A 76 years, male, white, stage:'--, dead, 711 days 2577.9
TCGA-GJ-A9DB-01A 68 years, male, white, stage:Stage I, dead, 67 days 2572.9
TCGA-ZP-A9CZ-01A 72 years, male, asian, stage:'--, alive, 706 days 2546.3
TCGA-KR-A7K8-01A 57 years, male, stage:Stage I, alive, 906 days 2530.6
TCGA-DD-AAW0-01A 54 years, male, asian, stage:Stage I, alive, 2015 days 2518.9
TCGA-MI-A75I-01A 61 years, male, black or african american, stage:'--, alive, 630 days 2508.2
TCGA-HP-A5N0-01A 90 years, female, stage:'--, dead, 752 days 2496.6
TCGA-G3-A7M8-01A 31 years, male, asian, stage:Stage I, alive, 430 days 2488.0
TCGA-BC-A10R-01A 66 years, female, white, stage:'--, dead, 308 days 2482.9
TCGA-2Y-A9H9-01A 70 years, male, white, stage:Stage I, alive, 697 days 2472.7
TCGA-T1-A6J8-01A 68 years, male, white, stage:'--, alive, 23 days 2442.6
TCGA-DD-A4NI-01A 67 years, male, white, stage:Stage II, alive, 816 days 2416.7
TCGA-DD-AADL-01A 58 years, male, asian, stage:Stage I, alive, 636 days 2364.8
TCGA-DD-A4NV-01A 61 years, male, white, stage:Stage IIIA, alive, 2398 days 2345.8
TCGA-2Y-A9GZ-01A 82 years, female, white, stage:Stage II, dead, 848 days 2342.1
TCGA-G3-AAV0-01A 58 years, male, asian, stage:Stage I, alive, 476 days 2341.0
TCGA-DD-AAVS-01A 56 years, male, asian, stage:Stage I, alive, 1823 days 2339.3
TCGA-DD-A4NE-01A 75 years, female, white, stage:Stage IIIA, dead, 660 days 2332.4
TCGA-ZP-A9CY-01A 66 years, female, white, stage:'--, alive, 782 days 2315.3
TCGA-DD-AADA-01A 66 years, female, asian, stage:Stage I, alive, 1233 days 2313.7
TCGA-DD-A73E-01A 66 years, male, white, stage:Stage I, alive, 44 days 2270.7
TCGA-RC-A7SK-01A 59 years, male, asian, stage:Stage I, alive, 472 days 2267.7
TCGA-ES-A2HS-01A 80 years, male, white, stage:Stage I, dead, 688 days 2258.3
TCGA-G3-A3CI-01A 71 years, male, white, stage:Stage I, alive, 180 days 2257.3
TCGA-DD-A73F-01A 77 years, female, white, stage:Stage I, alive, 1085 days 2228.7
TCGA-FV-A2QR-01A 75 years, male, white, stage:Stage I, dead, 581 days 2192.9
TCGA-UB-A7MC-01A 59 years, male, white, stage:Stage IIIA, alive, 500 days 2182.5
TCGA-CC-A7IF-01A 59 years, male, asian, stage:Stage IIIA, dead, 649 days 2173.7
TCGA-2Y-A9GT-01A 51 years, male, white, stage:Stage I, dead, 1624 days 2154.9
TCGA-DD-AADF-01A 64 years, female, asian, stage:Stage I, dead, 115 days 2153.4
TCGA-DD-AADG-01A 70 years, male, asian, stage:Stage IIIA, alive, 1145 days 2139.6
TCGA-2Y-A9H8-01A 85 years, female, white, stage:'--, dead, 633 days 2127.5
TCGA-DD-AAEK-01A 51 years, male, asian, stage:Stage II, alive, 1067 days 2109.2
TCGA-DD-A3A2-01A 76 years, female, white, stage:Stage I, dead, 2131 days 2105.5
TCGA-DD-AAVZ-01A 38 years, male, asian, stage:Stage I, alive, 1900 days 2090.5
TCGA-G3-A6UC-01A 65 years, male, white, stage:Stage IIIB, alive, 671 days 2088.4
TCGA-2Y-A9H6-01A 68 years, female, white, stage:Stage I, alive, 357 days 2085.9
TCGA-DD-AAE4-01A 49 years, female, asian, stage:Stage I, alive, 608 days 2076.7
TCGA-MR-A520-01A 58 years, male, white, stage:Stage I, alive, 229 days 2065.7
TCGA-ED-A7XO-01A 29 years, male, asian, stage:Stage IIIA, alive, 427 days 2057.5
TCGA-DD-A73B-01A 72 years, female, white, stage:Stage I, dead, 283 days 2054.6
TCGA-DD-AAD8-01A 73 years, female, asian, stage:Stage I, alive, 1219 days 1988.9
TCGA-BD-A2L6-01A 69 years, male, white, stage:'--, alive, 1363 days 1959.6
TCGA-FV-A496-01A 84 years, female, white, stage:Stage I, alive, 10 days 1913.5
TCGA-DD-AACF-01A 68 years, male, asian, stage:Stage I, dead, 365 days 1908.9
TCGA-ZS-A9CG-01A 55 years, male, white, stage:Stage II, alive, 341 days 1908.6
TCGA-DD-AACU-01A 59 years, male, asian, stage:Stage I, alive, 1567 days 1907.1
TCGA-CC-A7IH-01A 58 years, male, asian, stage:Stage IIIA, alive, 365 days 1905.9
TCGA-DD-AAE3-01A 50 years, male, asian, stage:Stage I, alive, 566 days 1905.5
TCGA-G3-A5SK-01A 58 years, male, white, stage:Stage I, alive, 744 days 1864.2
TCGA-LG-A6GG-01A 79 years, female, white, stage:Stage II, alive, 387 days 1860.4
TCGA-G3-A3CG-01A 80 years, male, white, stage:Stage I, alive, 673 days 1857.7
TCGA-DD-A11D-01A 57 years, female, white, stage:Stage I, dead, 1560 days 1844.2
TCGA-5R-AA1C-01A 57 years, male, white, stage:Stage II, alive, 520 days 1837.2
TCGA-ED-A66Y-01A 51 years, female, asian, stage:Stage IIIA, dead, 296 days 1803.2
TCGA-ED-A7PY-01A 20 years, female, asian, stage:Stage II, alive, 390 days 1795.0
TCGA-LG-A9QD-01A 68 years, male, white, stage:Stage IIIA, alive, 366 days 1781.1
TCGA-2Y-A9H7-01A 81 years, female, white, stage:Stage I, alive, 1168 days 1751.3
TCGA-ZP-A9CV-01A 59 years, male, white, stage:'--, dead, 1088 days 1740.9
TCGA-DD-A1EF-01A 57 years, female, white, stage:Stage I, dead, 394 days 1738.8
TCGA-ED-A4XI-01A 58 years, male, asian, stage:Stage II, alive, 819 days 1731.9
TCGA-DD-A73D-01A 68 years, female, white, stage:Stage II, alive, 693 days 1731.2
TCGA-2Y-A9HB-01A 66 years, male, stage:Stage I, alive, 260 days 1728.8
TCGA-DD-AAVY-01A 56 years, male, asian, stage:Stage IIIA, alive, 1970 days 1725.1
TCGA-RC-A6M4-01A 74 years, female, white, stage:Stage IIIA, alive, 22 days 1716.9
TCGA-DD-AADK-01A 68 years, female, asian, stage:Stage II, alive, 1049 days 1687.9
TCGA-DD-A3A8-01A 75 years, male, white, stage:Stage II, dead, 11 days 1679.1
TCGA-5C-AAPD-01A 61 years, male, asian, stage:Stage II, alive, 20 days 1661.4
TCGA-G3-A3CH-01A 53 years, male, asian, stage:Stage IIIA, alive, 780 days 1654.2
TCGA-5R-AAAM-01A 65 years, female, white, stage:Stage II, dead, 46 days 1624.3
TCGA-UB-AA0U-01A 60 years, male, white, stage:Stage II, alive, 327 days 1621.8
TCGA-2Y-A9HA-01A 70 years, male, white, stage:Stage II, dead, 36 days 1620.8
TCGA-ZP-A9D1-01A 56 years, female, white, stage:'--, alive, 21 days 1613.2
TCGA-FV-A2QQ-01A 80 years, male, white, stage:Stage I, alive, 729 days 1612.5
TCGA-G3-A5SM-01A 58 years, male, white, stage:Stage II, alive, 520 days 1594.5
TCGA-DD-AAEH-01A 73 years, male, asian, stage:Stage I, alive, 784 days 1593.6
TCGA-DD-A1EK-01A 64 years, female, white, stage:Stage IVB, dead, 558 days 1590.8
TCGA-MI-A75G-01A 63 years, male, white, stage:Stage II, alive, 698 days 1579.6
TCGA-DD-A4NK-01A 80 years, female, white, stage:Stage IIIA, dead, 1210 days 1569.8
TCGA-DD-AACC-01A 61 years, male, asian, stage:Stage I, dead, 1685 days 1561.4
TCGA-DD-AAD3-01A 43 years, male, asian, stage:Stage I, alive, 1295 days 1553.3
TCGA-DD-AACE-01A 62 years, male, asian, stage:Stage I, alive, 2184 days 1549.7
TCGA-CC-A8HS-01A 18 years, male, asian, stage:Stage IIIC, dead, 300 days 1542.6
TCGA-DD-A113-01A 55 years, female, white, stage:Stage II, alive, 2425 days 1534.3
TCGA-CC-A7IL-01A 61 years, male, asian, stage:Stage IIIA, dead, 278 days 1521.2
TCGA-DD-AACO-01A 40 years, male, asian, stage:Stage I, alive, 1876 days 1521.0
TCGA-DD-A4NN-01A 56 years, female, white, stage:Stage I, dead, 899 days 1508.1
TCGA-K7-A6G5-01A 66 years, male, white, stage:Stage I, alive, 512 days 1504.8
TCGA-DD-AACN-01A 32 years, male, asian, stage:Stage I, alive, 1302 days 1496.6
TCGA-K7-A5RG-01A 66 years, male, black or african american, stage:Stage I, alive, 519 days 1484.1
TCGA-DD-A1EH-01A 23 years, male, white, stage:Stage III, alive, 1495 days 1472.7
TCGA-BC-A10X-01A 52 years, female, white, stage:Stage IIIA, dead, 770 days 1463.7
TCGA-RC-A7S9-01A 47 years, female, asian, stage:Stage I, alive, 640 days 1456.3
TCGA-DD-AAD0-01A 73 years, female, asian, stage:Stage I, alive, 137 days 1446.1
TCGA-FV-A3R3-01A 38 years, female, white, stage:Stage I, dead, 366 days 1435.4
TCGA-DD-AADR-01A 58 years, male, asian, stage:Stage I, alive, 2028 days 1426.1
TCGA-G3-A3CK-01A 61 years, male, asian, stage:Stage I, alive, 585 days 1425.3
TCGA-G3-A25Y-01A 52 years, female, asian, stage:Stage I, dead, 452 days 1417.5
TCGA-ZP-A9D4-01A 64 years, female, white, stage:'--, alive, 395 days 1405.9
TCGA-2Y-A9GV-01A 54 years, female, white, stage:Stage I, dead, 2532 days 1393.2
TCGA-BC-A3KF-01A 66 years, female, white, stage:Stage I, alive, 8 days 1391.7
TCGA-CC-A9FS-01A 55 years, male, asian, stage:Stage II, alive, 211 days 1386.1
TCGA-DD-AAVW-01A 35 years, male, asian, stage:Stage I, alive, 2317 days 1380.2
TCGA-DD-AAEA-01A 65 years, male, asian, stage:Stage I, alive, 575 days 1378.3
TCGA-ED-A7XP-01A 53 years, female, asian, stage:Stage II, alive, 400 days 1375.7
TCGA-2Y-A9H5-01A 59 years, female, white, stage:Stage I, dead, 555 days 1367.1
TCGA-DD-AADB-01A 51 years, male, asian, stage:Stage I, alive, 1242 days 1345.4
TCGA-K7-A5RF-01A 64 years, male, white, stage:Stage I, alive, 631 days 1344.0
TCGA-DD-AADD-01A 51 years, male, asian, stage:Stage I, alive, 1231 days 1339.9
TCGA-DD-AADS-01A 63 years, male, asian, stage:Stage I, alive, 474 days 1337.9
TCGA-DD-AAE7-01A 72 years, male, asian, stage:Stage I, alive, 644 days 1334.4
TCGA-DD-A4NL-01A 46 years, male, white, stage:Stage I, alive, 1711 days 1332.3
TCGA-FV-A495-01A 51 years, female, white, stage:Stage II, alive, 1 days 1331.7
TCGA-EP-A12J-01A 62 years, male, black or african american, stage:Stage I, alive, 570 days 1331.4
TCGA-DD-AADU-01A 60 years, male, asian, stage:Stage II, alive, 554 days 1327.9
TCGA-UB-A7MD-01A 67 years, male, black or african american, stage:Stage I, dead, 52 days 1310.0
TCGA-UB-A7ME-01A 51 years, male, asian, stage:Stage I, alive, 486 days 1309.1
TCGA-DD-AAEG-01A 59 years, female, asian, stage:Stage I, alive, 719 days 1303.8
TCGA-DD-A3A9-01A 64 years, female, white, stage:Stage IVB, dead, 931 days 1300.0
TCGA-2Y-A9H3-01A 45 years, male, white, stage:Stage II, alive, 1516 days 1288.7
TCGA-BC-A8YO-01A 66 years, female, white, stage:Stage IIIC, alive, 562 days 1286.6
TCGA-DD-AAEE-01A 55 years, male, asian, stage:Stage I, alive, 810 days 1277.2
TCGA-EP-A2KB-01A 46 years, female, white, stage:Stage I, dead, 596 days 1267.5
TCGA-DD-A1ED-01A 68 years, male, white, stage:Stage I, alive, 2301 days 1262.2
TCGA-CC-5261-01A 44 years, male, asian, stage:Stage II, dead, 97 days 1261.3
TCGA-DD-AAW2-01A 69 years, male, asian, stage:Stage I, alive, 1855 days 1258.5
TCGA-FV-A23B-01A 70 years, female, white, stage:Stage II, dead, 1852 days 1252.4
TCGA-DD-AAW1-01A 55 years, male, asian, stage:Stage IIIA, alive, 1989 days 1249.4
TCGA-KR-A7K2-01A 64 years, male, white, stage:Stage I, alive, 829 days 1245.3
TCGA-DD-A118-01A 77 years, female, white, stage:Stage II, alive, 3437 days 1243.1
TCGA-EP-A2KC-01A 62 years, male, black or african american, stage:Stage I, dead, 19 days 1233.5
TCGA-XR-A8TF-01A 74 years, male, white, stage:Stage I, dead, 693 days 1232.4
TCGA-WX-AA44-01A 64 years, female, white, stage:Stage I, alive, 615 days 1229.1
TCGA-DD-A4ND-01A 56 years, female, white, stage:Stage I, alive, 2746 days 1215.6
TCGA-DD-AAEI-01A 72 years, male, asian, stage:Stage I, alive, 1531 days 1213.5
TCGA-DD-AAW3-01A 69 years, male, asian, stage:Stage I, alive, 1633 days 1208.8
TCGA-WJ-A86L-01A 68 years, female, white, stage:Stage I, alive, 345 days 1207.8
TCGA-DD-AADC-01A 53 years, male, asian, stage:Stage I, dead, 425 days 1198.8
TCGA-DD-AAVQ-01A 38 years, male, asian, stage:Stage I, alive, 2728 days 1194.4
TCGA-G3-A5SL-01A 70 years, male, white, stage:Stage II, alive, 621 days 1194.0
TCGA-DD-AADM-01A 58 years, male, asian, stage:Stage II, dead, 12 days 1189.4
TCGA-WX-AA46-01A 61 years, male, white, stage:Stage II, alive, 756 days 1189.2
TCGA-2Y-A9GS-01A 58 years, male, white, stage:'--, dead, 724 days 1180.2
TCGA-FV-A3I1-01A 81 years, female, white, stage:Stage II, dead, 247 days 1171.7
TCGA-ED-A7PZ-01A 61 years, male, asian, stage:Stage II, alive, 6 days 1166.1
TCGA-G3-AAUZ-01A 48 years, male, stage:Stage I, alive, 480 days 1160.2
TCGA-G3-A25Z-01A 58 years, male, asian, stage:Stage I, alive, 655 days 1149.1
TCGA-DD-AACG-01A 52 years, male, asian, stage:Stage II, dead, 469 days 1145.0
TCGA-DD-A39Z-01A 43 years, female, stage:Stage II, dead, 601 days 1141.5
TCGA-DD-A116-01A 68 years, male, asian, stage:Stage IIIA, dead, 1622 days 1133.8
TCGA-DD-A4NP-01A 32 years, male, white, stage:Stage I, alive, 3308 days 1131.5
TCGA-G3-AAV4-01A 83 years, female, white, stage:Stage I, dead, 27 days 1125.0
TCGA-RC-A7SF-01A 66 years, male, asian, stage:Stage I, alive, 579 days 1115.4
TCGA-DD-AAD6-01A 66 years, male, asian, stage:Stage IIIA, alive, 672 days 1112.7
TCGA-DD-AACT-01A 69 years, female, asian, stage:Stage I, alive, 1562 days 1105.7
TCGA-LG-A9QC-01A 48 years, male, white, stage:Stage I, alive, 425 days 1096.3
TCGA-DD-AAD2-01A 66 years, male, asian, stage:Stage I, alive, 658 days 1093.3
TCGA-CC-A5UC-01A 63 years, male, asian, stage:Stage IIIA, dead, 347 days 1083.2
TCGA-DD-A3A4-01A 37 years, male, white, stage:Stage IIIA, dead, 612 days 1082.7
TCGA-DD-AAVP-01A 48 years, male, asian, stage:Stage I, alive, 2752 days 1077.8
TCGA-GJ-A6C0-01A 75 years, female, white, stage:Stage II, dead, 31 days 1076.7
TCGA-5C-A9VH-01A 70 years, male, white, stage:Stage I, alive, 322 days 1073.1
TCGA-DD-AAVU-01A 46 years, male, asian, stage:Stage II, alive, 2202 days 1069.5
TCGA-DD-AAC9-01A 51 years, male, asian, stage:Stage I, alive, 347 days 1066.8
TCGA-DD-AAVV-01A 56 years, male, asian, stage:Stage II, alive, 2455 days 1061.9
TCGA-CC-A3MC-01A 54 years, male, asian, stage:Stage IIIA, alive, 363 days 1058.1
TCGA-DD-A4NO-01A 65 years, male, white, stage:Stage I, alive, 2245 days 1052.0
TCGA-2Y-A9H4-01A 68 years, male, black or african american, stage:Stage I, alive, 1452 days 1048.4
TCGA-DD-AAEB-01A 60 years, male, asian, stage:Stage I, alive, 478 days 1044.8
TCGA-DD-AACK-01A 70 years, male, asian, stage:Stage I, alive, 9 days 1041.3
TCGA-RC-A7SH-01A 42 years, male, asian, stage:Stage II, alive, 468 days 1027.1
TCGA-DD-AACJ-01A 75 years, male, asian, stage:Stage II, alive, 2102 days 1024.5
TCGA-G3-A3CJ-01A 52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days 1022.2
TCGA-DD-AADI-01A 43 years, female, asian, stage:Stage I, alive, 1085 days 1016.5
TCGA-CC-A5UE-01A 48 years, male, asian, stage:Stage IIIB, dead, 272 days 1012.0
TCGA-2Y-A9H0-01A 49 years, male, white, stage:Stage IIIA, alive, 3675 days 1010.6
TCGA-UB-AA0V-01A 69 years, female, white, stage:Stage I, alive, 314 days 1005.7
TCGA-DD-AADW-01A 48 years, male, asian, stage:Stage I, alive, 587 days 1003.8
TCGA-G3-AAV2-01A 50 years, male, white, stage:Stage I, alive, 372 days 999.0
TCGA-DD-AAVR-01A 44 years, male, asian, stage:Stage I, alive, 2513 days 993.8
TCGA-EP-A26S-01A 70 years, male, white, stage:Stage I, alive, 608 days 992.6
TCGA-G3-AAV3-01A 58 years, female, white, stage:Stage II, alive, 412 days 989.6
TCGA-G3-A25V-01A 68 years, male, white, stage:Stage I, alive, 860 days 986.6
TCGA-DD-A1EA-01A 68 years, male, asian, stage:Stage II, alive, 2415 days 982.3
TCGA-MI-A75E-01A 61 years, male, white, stage:Stage IIIC, alive, 507 days 980.9
TCGA-DD-A73G-01A 73 years, female, white, stage:Stage I, alive, 3478 days 976.5
TCGA-BC-A110-01A 51 years, female, black or african american, stage:'--, dead, 2116 days 975.5
TCGA-DD-AAE9-01A 69 years, male, asian, stage:Stage I, alive, 722 days 973.3
TCGA-UB-A7MF-01A 56 years, male, white, stage:Stage IIIA, dead, 214 days 966.8
TCGA-DD-A73A-01A 71 years, male, white, stage:Stage I, alive, 728 days 964.8
TCGA-DD-A1EI-01A 46 years, male, asian, stage:Stage I, alive, 183 days 960.5
TCGA-DD-A4NJ-01A 54 years, female, white, stage:Stage II, alive, 928 days 960.3
TCGA-CC-A3MB-01A 36 years, male, asian, stage:Stage IIIA, dead, 315 days 953.4
TCGA-O8-A75V-01A 54 years, male, stage:Stage I, alive, 538 days 949.4
TCGA-ES-A2HT-01A 54 years, male, black or african american, stage:Stage I, dead, 438 days 927.6
TCGA-CC-5262-01A 67 years, male, asian, stage:Stage IIIC, dead, 103 days 926.5
TCGA-DD-AACY-01A 61 years, male, asian, stage:Stage I, alive, 1450 days 923.2
TCGA-DD-AACI-01A 69 years, male, asian, stage:Stage II, alive, 1618 days 918.4
TCGA-DD-AAVX-01A 38 years, male, asian, stage:Stage II, alive, 1718 days 917.6
TCGA-BC-A10S-01A 81 years, male, white, stage:'--, dead, 1423 days 915.5
TCGA-KR-A7K0-01A 65 years, male, white, stage:Stage I, dead, 65 days 913.8
TCGA-BD-A3ER-01A 62 years, male, white, stage:Stage II, alive, 1115 days 908.6
TCGA-BC-A69I-01A 69 years, male, white, stage:Stage I, alive, 387 days 899.3
TCGA-CC-A123-01A 24 years, female, asian, stage:Stage IIIA, alive, 219 days 894.6
TCGA-NI-A8LF-01A 74 years, male, white, stage:Stage I, alive, 799 days 893.5
TCGA-DD-AAD1-01A 51 years, female, asian, stage:Stage I, alive, 564 days 875.6
TCGA-G3-A7M5-01A 76 years, male, asian, stage:Stage I, alive, 447 days 873.7
TCGA-G3-A7M7-01A 65 years, male, white, stage:Stage I, alive, 361 days 850.0
TCGA-CC-A7IK-01A 59 years, male, asian, stage:Stage IIIA, dead, 262 days 848.6
TCGA-DD-AAED-01A 51 years, male, asian, stage:Stage I, alive, 763 days 847.9
TCGA-BC-A216-01A 62 years, female, white, stage:Stage IIIA, alive, 1351 days 847.0
TCGA-MI-A75H-01A 77 years, male, white, stage:'--, alive, 747 days 842.3
TCGA-BC-A10U-01A 69 years, male, white, stage:'--, dead, 837 days 839.3
TCGA-WQ-AB4B-01A 62 years, male, white, stage:Stage II, alive, 395 days 832.7
TCGA-CC-A8HU-01A 39 years, female, asian, stage:Stage IIIA, dead, 344 days 825.0
TCGA-ED-A627-01A 74 years, male, white, stage:Stage I, alive, 423 days 815.3
TCGA-XR-A8TC-01A 43 years, female, white, stage:Stage I, alive, 1339 days 812.9
TCGA-DD-AAE1-01A 52 years, male, asian, stage:Stage I, alive, 552 days 808.5
TCGA-XR-A8TD-01A 49 years, female, white, stage:Stage IIIB, alive, 1030 days 788.7
TCGA-ED-A459-01A 47 years, male, asian, stage:Stage II, alive, 910 days 788.3
TCGA-DD-A4NS-01A 61 years, female, white, stage:Stage I, dead, 2456 days 776.5
TCGA-DD-AADQ-01A 59 years, male, asian, stage:Stage II, alive, 436 days 769.1
TCGA-RG-A7D4-01A 69 years, male, black or african american, stage:Stage II, alive, 1098 days 766.1
TCGA-DD-A1EJ-01A 71 years, female, white, stage:Stage IIIC, dead, 1005 days 763.6
TCGA-DD-AACQ-01A 50 years, male, asian, stage:Stage II, dead, 432 days 758.4
TCGA-2Y-A9GW-01A 64 years, male, white, stage:Stage I, dead, 1271 days 733.8
TCGA-5C-A9VG-01A 58 years, male, white, stage:Stage II, alive, 328 days 731.4
TCGA-HP-A5MZ-01A 78 years, male, stage:Stage I, dead, 91 days 731.3
TCGA-2Y-A9H1-01A 58 years, male, white, stage:Stage I, dead, 1229 days 712.3
TCGA-CC-5259-01A 60 years, female, asian, stage:Stage IIIC, alive, 250 days 699.7
TCGA-DD-AAE6-01A 59 years, female, asian, stage:Stage I, alive, 141 days 694.6
TCGA-ZS-A9CD-01A 73 years, male, white, stage:Stage II, dead, 1386 days 676.1
TCGA-ED-A66X-01A 35 years, male, asian, stage:Stage IIIA, alive, 406 days 666.2
TCGA-BC-A10W-01A 50 years, male, asian, stage:'--, dead, 91 days 661.8
TCGA-DD-A3A1-01A 65 years, male, stage:Stage IIIA, dead, 233 days 660.0
TCGA-GJ-A3OU-01A 59 years, male, white, stage:Stage I, alive, 879 days 648.0
TCGA-DD-A1EE-01A 73 years, male, white, stage:Stage IIIA, dead, 349 days 645.8
TCGA-DD-A4NF-01A 72 years, male, white, stage:Stage I, alive, 942 days 639.3
TCGA-G3-AAV1-01A 51 years, male, asian, stage:Stage IIIC, dead, 359 days 635.8
TCGA-2Y-A9GX-01A 68 years, male, white, stage:Stage I, alive, 2442 days 619.9
TCGA-G3-A25S-01A 64 years, male, white, stage:Stage I, dead, 416 days 619.6
TCGA-CC-5264-01A 71 years, male, asian, stage:Stage IIIA, dead, 102 days 613.0
TCGA-CC-A7IE-01A 57 years, male, asian, stage:Stage IIIA, dead, 217 days 609.7
TCGA-ZP-A9D2-01A 51 years, male, white, stage:'--, dead, 765 days 599.5
TCGA-EP-A3JL-01A 76 years, male, white, stage:Stage I, alive, 303 days 598.7
TCGA-DD-A1EG-01A 76 years, male, white, stage:Stage I, dead, 1372 days 597.6
TCGA-DD-A4NG-01A 77 years, male, white, stage:Stage IIIA, dead, 802 days 588.4
TCGA-BD-A3EP-01A 75 years, female, black or african american, stage:Stage I, alive, 409 days 578.7
TCGA-CC-A8HT-01A 74 years, male, asian, stage:Stage IIIA, dead, 140 days 565.7
TCGA-ED-A7PX-01A 48 years, female, asian, stage:Stage II, alive, 6 days 564.2
TCGA-DD-A4NH-01A 65 years, female, white, stage:Stage IIIB, alive, 917 days 562.3
TCGA-EP-A3RK-01A 73 years, male, white, stage:Stage IIIA, alive, 363 days 557.4
TCGA-DD-AADO-01A 55 years, male, asian, stage:Stage I, alive, 453 days 554.8
TCGA-DD-A4NB-01A 25 years, male, white, stage:Stage I, alive, 989 days 549.5
TCGA-DD-AACL-01A 66 years, female, asian, stage:Stage I, dead, 107 days 535.1
TCGA-DD-AACD-01A 48 years, male, asian, stage:Stage I, dead, 381 days 530.4
TCGA-DD-A39V-01A 77 years, male, white, stage:Stage II, dead, 643 days 478.7
TCGA-DD-AACX-01A 66 years, male, asian, stage:Stage II, alive, 170 days 473.3
TCGA-DD-A4NQ-01A 60 years, male, white, stage:Stage II, dead, 373 days 460.2
TCGA-FV-A4ZQ-01A 52 years, male, white, stage:Stage I, alive, 12 days 450.8
TCGA-DD-A119-01A 40 years, male, asian, stage:Stage IV, dead, 223 days 447.7
TCGA-DD-AAE0-01A 45 years, female, asian, stage:Stage IIIA, alive, 555 days 444.6
TCGA-MI-A75C-01A 64 years, male, white, stage:Stage I, alive, 291 days 433.4
TCGA-G3-A7M9-01A 70 years, male, white, stage:Stage IIIB, dead, 56 days 415.3
TCGA-G3-AAV5-01A 67 years, male, white, stage:Stage II, alive, 354 days 391.1
TCGA-DD-A4NR-01A 85 years, female, white, stage:Stage I, dead, 9 days 389.6
TCGA-DD-A3A3-01A 45 years, male, asian, stage:Stage I, dead, 535 days 379.3
TCGA-DD-A39X-01A 78 years, female, white, stage:Stage I, dead, 1694 days 377.6
TCGA-UB-A7MA-01A 62 years, female, white, stage:Stage II, alive, 848 days 375.3
TCGA-ED-A5KG-01A 60 years, female, asian, stage:Stage II, alive, 854 days 363.8
TCGA-CC-5258-01A 48 years, male, asian, stage:Stage II, dead, 129 days 359.5
TCGA-5R-AA1D-01A 17 years, female, white, stage:Stage IIIA, alive, 449 days 354.6
TCGA-CC-A9FW-01A 68 years, male, asian, stage:Stage IIIA, alive, 248 days 341.8
TCGA-RC-A6M5-01A 20 years, female, white, stage:Stage IVA, alive, 15 days 340.5
TCGA-DD-AACA-01A 65 years, male, asian, stage:Stage I, alive, 2301 days 330.5
TCGA-DD-A3A7-01A 67 years, male, stage:Stage IIIB, dead, 419 days 330.3
TCGA-G3-A5SJ-01A 59 years, male, white, stage:Stage I, alive, 698 days 308.2
TCGA-DD-AACP-01A 64 years, male, asian, stage:Stage I, alive, 415 days 299.1
TCGA-ED-A97K-01A 54 years, male, asian, stage:Stage IIIA, alive, 6 days 297.1
TCGA-G3-A25X-01A 73 years, male, asian, stage:Stage II, alive, 1779 days 295.0
TCGA-ED-A8O6-01A 50 years, female, asian, stage:Stage IIIA, dead, 56 days 288.0
TCGA-G3-A7M6-01A 60 years, female, white, stage:Stage I, alive, 632 days 275.9
TCGA-2Y-A9H2-01A 64 years, female, white, stage:Stage I, alive, 1731 days 268.0
TCGA-DD-AACZ-01A 63 years, female, asian, stage:Stage I, dead, 171 days 263.7
TCGA-DD-AACB-01A 74 years, female, asian, stage:Stage I, alive, 2324 days 259.1
TCGA-EP-A2KA-01A 52 years, female, white, stage:Stage IIIA, dead, 627 days 248.7
TCGA-CC-A7IG-01A 47 years, male, asian, stage:Stage II, dead, 299 days 232.0
TCGA-KR-A7K7-01A 61 years, female, white, stage:Stage II, alive, 951 days 231.2
TCGA-DD-A39Y-01A 67 years, male, asian, stage:Stage I, dead, 171 days 225.4
TCGA-DD-A39W-01A 29 years, female, white, stage:Stage III, dead, 827 days 222.1
TCGA-CC-A8HV-01A 51 years, female, asian, stage:Stage II, dead, 279 days 220.8
TCGA-DD-A114-01A 42 years, male, black or african american, stage:Stage II, dead, 1149 days 218.1
TCGA-ED-A82E-01A 60 years, female, asian, stage:Stage IIIA, alive, 408 days 215.3
TCGA-DD-AACH-01A 69 years, male, asian, stage:Stage II, dead, 195 days 207.9
TCGA-WQ-A9G7-01A 71 years, female, white, stage:'--, alive, 30 days 203.4
TCGA-2Y-A9GY-01A 64 years, female, white, stage:Stage II, dead, 757 days 202.0
TCGA-CC-5263-01A 35 years, male, asian, stage:Stage IIIA, dead, 129 days 158.5
TCGA-XR-A8TE-01A 16 years, male, white, stage:Stage IIIA, alive, 925 days 151.1
TCGA-G3-AAV6-01A 53 years, female, white, stage:Stage IIIA, dead, 65 days 141.6
TCGA-DD-AAC8-01A 72 years, male, asian, stage:Stage I, dead, 16 days 137.4
TCGA-DD-A1EL-01A 23 years, male, black or african american, stage:Stage II, dead, 415 days 123.6
TCGA-DD-A1EC-01A 20 years, female, white, stage:Stage I, alive, 602 days 119.5
TCGA-BC-A69H-01A 64 years, male, white, stage:Stage II, alive, 444 days 116.0
TCGA-K7-AAU7-01A 61 years, male, white, stage:Stage II, alive, 359 days 102.0
TCGA-DD-AADN-01A 59 years, male, asian, stage:Stage I, alive, 898 days 100.4
TCGA-G3-A25T-01A 45 years, female, white, stage:Stage IIIA, alive, 1553 days 74.6
TCGA-CC-A3MA-01A 61 years, male, asian, stage:Stage IIIA, dead, 303 days 67.9
TCGA-YA-A8S7-01A 68 years, male, white, stage:Stage IIIA, dead, 412 days 67.8
TCGA-MR-A8JO-01A 34 years, male, white, stage:Stage I, alive, 330 days 66.3
TCGA-DD-A4NA-01A 67 years, female, white, stage:Stage IIIC, alive, 1008 days 54.5
TCGA-G3-AAV7-01A 38 years, male, asian, stage:Stage II, alive, 361 days 54.5
TCGA-WX-AA47-01A 33 years, female, white, stage:Stage IIIA, dead, 556 days 53.8
TCGA-CC-A1HT-01A 50 years, male, asian, stage:Stage IIIA, dead, 101 days 51.9
TCGA-RC-A6M6-01A 75 years, male, white, stage:Stage II, alive, 9 days 39.5
TCGA-CC-A5UD-01A 45 years, male, asian, stage:Stage IIIA, dead, 304 days 29.1
TCGA-DD-AA3A-01A 81 years, female, white, stage:Stage I, dead, 410 days 20.8
TCGA-BC-A112-01A 80 years, male, white, stage:'--, dead, 153 days 18.8
TCGA-FV-A3I0-01A 76 years, female, white, stage:Stage II, alive, 848 days 18.1
TCGA-DD-AAD5-01A 54 years, male, asian, stage:Stage I, alive, 1345 days 9.7
TCGA-FV-A4ZP-01A 78 years, male, white, stage:Stage IIIA, dead, 2486 days 6.5
TCGA-BC-A10Q-01A 72 years, female, white, stage:'--, dead, 1135 days 3.8
TCGA-DD-A3A6-01A 72 years, female, white, stage:Stage II, dead, 3258 days 2.4
TCGA-CC-5260-01A 61 years, female, asian, stage:Stage IIIC, dead, 87 days 2.1
TCGA-CC-A7IJ-01A 56 years, male, asian, stage:Stage II, alive, 382 days 1.8
TCGA-CC-A3M9-01A 45 years, male, asian, stage:Stage IIIA, dead, 300 days 0.7
TCGA-CC-A7II-01A 54 years, male, asian, stage:Stage IIIA, alive, 399 days 0.1
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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.

KNG1 is validated prognostic, high expression is favorable 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.

: 1386.81
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 1971.6
Number of samples 231
Samples
Sample Description pTPM
DO45237 58 years, male, NA, stage:2, alive, 900 days 9780.5
DO48721 58 years, female, NA, stage:1, alive, 900 days 6574.8
DO45096 69 years, male, NA, stage:2, dead, 1290 days 6513.8
DO48701 78 years, male, NA, stage:2, alive, 780 days 5644.8
DO23552 80 years, female, NA, stage:1, alive, 810 days 5511.2
DO23538 67 years, male, NA, stage:2, alive, 450 days 5467.5
DO50807 67 years, male, NA, stage:1, alive, 540 days 4979.4
DO45149 70 years, female, NA, stage:2, alive, 1260 days 4966.4
DO45105 61 years, male, NA, stage:1, alive, 1680 days 4952.5
DO50832 73 years, male, NA, stage:3, alive, 90 days 4733.7
DO23512 60 years, male, NA, stage:1, alive, 1260 days 4733.7
DO45111 74 years, male, NA, stage:2, alive, 1590 days 4596.4
DO45129 61 years, male, NA, stage:3, alive, 1470 days 4349.8
DO50818 65 years, male, NA, stage:2, alive, 510 days 4171.0
DO45207 68 years, male, NA, stage:1, alive, 1050 days 4163.4
DO48760 70 years, female, NA, stage:2, alive, 690 days 4137.5
DO45121 61 years, male, NA, stage:3, alive, 1530 days 4110.2
DO23548 78 years, female, NA, stage:1, alive, 840 days 4103.0
DO45097 69 years, male, NA, stage:3, alive, 1620 days 4097.1
DO23537 79 years, male, NA, stage:2, dead, 900 days 4013.8
DO48677 58 years, male, NA, stage:3, alive, 1140 days 3986.7
DO48741 64 years, male, NA, stage:3, alive, 240 days 3970.1
DO23550 69 years, male, NA, stage:1, alive, 990 days 3969.2
DO45247 31 years, female, NA, stage:2, alive, 210 days 3878.1
DO45099 46 years, male, NA, stage:3, alive, 1590 days 3846.0
DO23539 77 years, male, NA, stage:1, alive, 1110 days 3813.2
DO45094 76 years, male, NA, stage:3, alive, 1650 days 3807.6
DO45201 49 years, male, NA, stage:1, alive, 900 days 3669.4
DO23528 45 years, female, NA, stage:2, alive, 1020 days 3633.0
DO45167 67 years, male, NA, stage:2, dead, 1440 days 3631.0
DO48746 76 years, male, NA, stage:3, alive, 570 days 3572.3
DO23536 56 years, male, NA, stage:2, alive, 930 days 3443.6
DO23516 69 years, male, NA, stage:3, dead, 20 days 3428.1
DO50789 73 years, female, NA, stage:2, alive, 570 days 3311.7
DO45227 57 years, female, NA, stage:2, alive, 1020 days 3296.4
DO45199 86 years, female, NA, stage:2, alive, 1350 days 3285.8
DO48715 58 years, female, NA, stage:2, dead, 690 days 3230.8
DO23534 60 years, male, NA, stage:2, alive, 840 days 3160.1
DO45225 69 years, male, NA, stage:1, alive, 1050 days 3159.1
DO45137 38 years, male, NA, stage:1, alive, 1320 days 3142.7
DO45213 58 years, male, NA, stage:1, alive, 1200 days 3076.7
DO50820 77 years, female, NA, stage:3, alive, 510 days 3056.2
DO227643 79 years, male, NA, stage:2, alive, 1260 days 3042.2
DO45159 65 years, male, NA, stage:3, alive, 1470 days 3027.7
DO45107 63 years, female, NA, stage:2, alive, 1710 days 3015.7
DO48736 76 years, female, NA, stage:1, alive, 600 days 3005.1
DO23543 63 years, male, NA, stage:2, alive, 1020 days 2915.7
DO23511 83 years, female, NA, stage:3, dead, 180 days 2914.4
DO50802 49 years, male, NA, stage:2, alive, 930 days 2909.7
DO23527 72 years, male, NA, stage:1, alive, 1050 days 2891.8
DO50774 68 years, female, NA, stage:2, alive, 720 days 2888.0
DO48742 76 years, male, NA, stage:2, alive, 600 days 2881.5
DO45125 58 years, male, NA, stage:3, alive, 1680 days 2875.7
DO45261 74 years, male, NA, stage:3, alive, 990 days 2861.3
DO23509 60 years, male, NA, stage:3, dead, 780 days 2850.7
DO45113 58 years, male, NA, stage:3, alive, 1560 days 2787.4
DO45177 81 years, female, NA, stage:3, alive, 1260 days 2756.9
DO45187 32 years, female, NA, stage:1, alive, 1260 days 2756.8
DO45123 78 years, female, NA, stage:2, dead, 570 days 2745.7
DO48704 68 years, female, NA, stage:3, alive, 750 days 2726.8
DO48695 77 years, male, NA, stage:2, alive, 720 days 2660.5
DO45233 83 years, male, NA, stage:3, alive, 900 days 2658.5
DO45253 50 years, male, NA, stage:2, alive, 870 days 2641.7
DO23533 61 years, male, NA, stage:2, alive, 900 days 2627.1
DO45117 73 years, female, NA, stage:2, dead, 1110 days 2551.5
DO45091 56 years, male, NA, stage:2, dead, 1320 days 2546.5
DO45255 81 years, male, NA, stage:3, alive, 720 days 2529.5
DO45183 72 years, female, NA, stage:2, dead, 570 days 2517.9
DO23532 71 years, female, NA, stage:1, alive, 960 days 2510.8
DO45197 51 years, male, NA, stage:2, alive, 1170 days 2498.5
DO50859 77 years, male, NA, stage:2, alive, 180 days 2477.8
DO50857 72 years, male, NA, stage:2, alive, 210 days 2471.9
DO45115 81 years, male, NA, stage:2, alive, 840 days 2467.7
DO45179 78 years, female, NA, stage:2, alive, 600 days 2449.2
DO23541 65 years, male, NA, stage:2, alive, 930 days 2404.1
DO50776 75 years, male, NA, stage:1, alive, 690 days 2393.8
DO23545 67 years, male, NA, stage:2, dead, 570 days 2392.6
DO50840 49 years, male, NA, stage:2, alive, 330 days 2375.3
DO50813 56 years, male, NA, stage:2, alive, 420 days 2353.2
DO23524 71 years, female, NA, stage:2, alive, 1050 days 2321.8
DO45163 76 years, male, NA, stage:2, alive, 960 days 2318.0
DO50804 81 years, male, NA, stage:2, alive, 720 days 2295.3
DO227801 77 years, female, NA, stage:1, alive, 660 days 2282.4
DO50811 62 years, male, NA, stage:1, alive, 450 days 2230.1
DO48727 81 years, female, NA, stage:2, dead, 390 days 2222.2
DO45101 63 years, male, NA, stage:2, alive, 1680 days 2165.6
DO23531 78 years, female, NA, stage:3, alive, 900 days 2162.9
DO45133 64 years, male, NA, stage:3, dead, 660 days 2162.8
DO50783 62 years, male, NA, stage:3, alive, 480 days 2162.1
DO48759 73 years, male, NA, stage:3, alive, 720 days 2130.2
DO50798 77 years, male, NA, stage:3, dead, 30 days 2127.0
DO23517 62 years, male, NA, stage:2, alive, 1200 days 2111.0
DO48712 50 years, male, NA, stage:2, alive, 810 days 2104.8
DO45181 84 years, female, NA, stage:2, alive, 1200 days 2083.0
DO45239 42 years, male, NA, stage:2, alive, 870 days 2074.0
DO48706 72 years, male, NA, stage:2, alive, 870 days 2046.1
DO45203 71 years, female, NA, stage:2, alive, 1170 days 2039.4
DO45215 65 years, male, NA, stage:2, alive, 1170 days 2021.8
DO23513 76 years, male, NA, stage:3, alive, 1200 days 1995.7
DO23535 67 years, male, NA, stage:1, alive, 960 days 1960.7
DO45241 49 years, male, NA, stage:1, alive, 1080 days 1957.8
DO48761 55 years, male, NA, stage:2, alive, 870 days 1936.4
DO45195 62 years, male, NA, stage:1, alive, 390 days 1924.4
DO23518 67 years, male, NA, stage:2, alive, 1320 days 1919.2
DO45191 61 years, female, NA, stage:2, alive, 1200 days 1906.9
DO45153 77 years, female, NA, stage:2, alive, 1380 days 1893.4
DO45175 74 years, male, NA, stage:2, alive, 1140 days 1889.5
DO50793 76 years, male, NA, stage:4, alive, 540 days 1856.0
DO50850 74 years, male, NA, stage:3, alive, 720 days 1854.7
DO48674 80 years, male, NA, stage:2, alive, 1260 days 1847.4
DO23540 73 years, male, NA, stage:1, alive, 750 days 1842.6
DO45219 78 years, male, NA, stage:2, alive, 1080 days 1838.5
DO45281 83 years, male, NA, stage:4, alive, 750 days 1823.8
DO50817 75 years, male, NA, stage:2, alive, 390 days 1815.8
DO48743 69 years, female, NA, stage:2, alive, 570 days 1806.3
DO45161 74 years, male, NA, stage:2, dead, 540 days 1805.6
DO45109 63 years, male, NA, stage:2, alive, 1590 days 1789.5
DO48681 57 years, male, NA, stage:2, alive, 900 days 1756.5
DO50808 68 years, male, NA, stage:2, alive, 570 days 1753.9
DO50816 63 years, male, NA, stage:2, alive, 390 days 1747.3
DO45171 56 years, male, NA, stage:3, alive, 600 days 1726.8
DO48757 68 years, female, NA, stage:3, alive, 480 days 1724.9
DO48725 66 years, male, NA, stage:1, alive, 780 days 1715.7
DO45229 74 years, male, NA, stage:1, alive, 990 days 1698.1
DO45263 67 years, male, NA, stage:3, dead, 270 days 1681.7
DO23544 67 years, male, NA, stage:2, alive, 960 days 1676.1
DO50787 63 years, male, NA, stage:3, alive, 480 days 1674.0
DO23546 63 years, male, NA, stage:2, alive, 1050 days 1663.4
DO50839 47 years, female, NA, stage:3, alive, 330 days 1643.5
DO48733 72 years, male, NA, stage:2, alive, 600 days 1635.6
DO45243 74 years, female, NA, stage:3, alive, 930 days 1623.2
DO45223 67 years, male, NA, stage:4, alive, 1020 days 1593.0
DO23551 73 years, male, NA, stage:3, dead, 150 days 1589.0
DO48716 71 years, male, NA, stage:2, alive, 720 days 1558.1
DO45143 69 years, male, NA, stage:3, alive, 1290 days 1527.5
DO45235 68 years, female, NA, stage:1, alive, 900 days 1516.8
DO48672 81 years, male, NA, stage:2, alive, 450 days 1508.4
DO23525 71 years, male, NA, stage:4, alive, 1050 days 1507.0
DO45231 84 years, male, NA, stage:2, alive, 930 days 1505.0
DO48719 80 years, male, NA, stage:2, alive, 690 days 1500.7
DO45169 74 years, male, NA, stage:3, alive, 1350 days 1496.1
DO45141 73 years, male, NA, stage:2, alive, 1320 days 1485.6
DO23514 64 years, male, NA, stage:2, alive, 1290 days 1469.6
DO48679 72 years, male, NA, stage:2, alive, 1200 days 1454.3
DO50791 79 years, female, NA, stage:1, dead, 480 days 1444.7
DO50803 62 years, female, NA, stage:1, alive, 540 days 1424.4
DO50845 72 years, male, NA, stage:3, alive, 210 days 1402.2
DO45173 63 years, male, NA, stage:3, alive, 1170 days 1400.0
DO50819 72 years, female, NA, stage:2, alive, 510 days 1393.9
DO48693 71 years, male, NA, stage:2, alive, 900 days 1387.8
DO50800 74 years, male, NA, stage:2, alive, 510 days 1386.8
DO45092 62 years, male, NA, stage:4, dead, 1200 days 1384.3
DO45093 71 years, male, NA, stage:2, dead, 720 days 1350.6
DO45131 53 years, male, NA, stage:4, dead, 360 days 1313.9
DO48697 64 years, female, NA, stage:2, dead, 810 days 1298.5
DO23542 66 years, male, NA, stage:3, alive, 960 days 1297.2
DO45265 73 years, male, NA, stage:3, alive, 1020 days 1295.6
DO45135 77 years, male, NA, stage:1, alive, 1410 days 1270.0
DO50855 47 years, male, NA, stage:2, alive, 570 days 1229.0
DO45119 74 years, male, NA, stage:3, dead, 510 days 1214.2
DO50844 75 years, male, NA, stage:4, alive, 300 days 1211.1
DO23510 80 years, female, NA, stage:2, alive, 870 days 1197.9
DO23529 72 years, male, NA, stage:4, alive, 930 days 1191.4
DO48717 54 years, male, NA, stage:4, dead, 180 days 1190.1
DO50809 56 years, male, NA, stage:3, dead, 720 days 1162.5
DO50825 70 years, male, NA, stage:2, alive, 390 days 1153.0
DO45095 66 years, male, NA, stage:2, alive, 1620 days 1143.4
DO50822 66 years, male, NA, stage:2, alive, 510 days 1121.8
DO45221 75 years, female, NA, stage:4, dead, 390 days 1016.4
DO48732 73 years, male, NA, stage:3, alive, 630 days 979.2
DO50814 83 years, male, NA, stage:3, alive, 420 days 978.5
DO48728 74 years, female, NA, stage:2, alive, 150 days 970.0
DO48700 78 years, female, NA, stage:2, alive, 810 days 957.3
DO45209 70 years, male, NA, stage:4, alive, 1350 days 925.4
DO50806 70 years, male, NA, stage:4, alive, 540 days 906.3
DO45257 46 years, male, NA, stage:3, alive, 810 days 892.9
DO48682 72 years, female, NA, stage:3, dead, 120 days 876.9
DO48730 73 years, female, NA, stage:2, alive, 630 days 875.8
DO45193 68 years, female, NA, stage:4, dead, 120 days 859.8
DO50799 66 years, female, NA, stage:2, alive, 540 days 853.1
DO48751 68 years, male, NA, stage:2, dead, 480 days 846.3
DO45157 62 years, male, NA, stage:2, alive, 1980 days 842.4
DO48723 73 years, male, NA, stage:1, alive, 600 days 834.0
DO23515 71 years, male, NA, stage:2, alive, 1230 days 832.4
DO45103 47 years, male, NA, stage:3, alive, 450 days 828.5
DO50805 72 years, male, NA, stage:2, alive, 690 days 826.9
DO45155 69 years, male, NA, stage:2, alive, 2160 days 774.1
DO48720 62 years, female, NA, stage:2, alive, 570 days 753.2
DO45139 63 years, male, NA, stage:3, alive, 1320 days 620.5
DO45259 65 years, male, NA, stage:3, alive, 330 days 615.5
DO45165 75 years, male, NA, stage:2, alive, 690 days 599.2
DO45217 69 years, female, NA, stage:3, dead, 270 days 530.1
DO23508 79 years, female, NA, stage:2, alive, 390 days 518.0
DO23526 66 years, male, NA, stage:3, alive, 1050 days 491.6
DO48737 52 years, male, NA, stage:1, alive, 720 days 451.7
DO23521 63 years, male, NA, stage:3, alive, 1110 days 443.5
DO50815 62 years, male, NA, stage:3, alive, 150 days 429.3
DO23530 53 years, male, NA, stage:4, dead, 180 days 428.8
DO50785 37 years, male, NA, stage:4, dead, 90 days 415.1
DO45273 62 years, male, NA, stage:2, alive, 480 days 377.6
DO45185 89 years, male, NA, stage:2, alive, 600 days 371.2
DO23549 74 years, male, NA, stage:3, alive, 990 days 317.6
DO50778 60 years, male, NA, stage:4, alive, 630 days 266.0
DO45251 57 years, female, NA, stage:2, alive, 900 days 202.2
DO23547 74 years, male, NA, stage:1, alive, 1020 days 181.8
DO45267 73 years, male, NA, stage:3, dead, 570 days 172.1
DO48747 62 years, male, NA, stage:3, alive, 540 days 165.5
DO45189 85 years, female, NA, stage:2, alive, 1200 days 153.4
DO45249 57 years, male, NA, stage:1, alive, 630 days 150.1
DO45127 73 years, male, NA, stage:3, dead, 420 days 113.6
DO50829 78 years, male, NA, stage:3, alive, 570 days 110.2
DO45205 67 years, female, NA, stage:2, dead, 90 days 80.1
DO45283 60 years, male, NA, stage:3, alive, 510 days 54.6
DO45287 74 years, male, NA, stage:1, alive, 390 days 34.6
DO45301 56 years, male, NA, stage:2, dead, 1440 days 32.1
DO45245 75 years, female, NA, stage:2, dead, 240 days 30.7
DO45275 65 years, male, NA, stage:3, dead, 10 days 23.0
DO45305 66 years, male, NA, stage:4, alive, 300 days 20.8
DO23519 65 years, male, NA, stage:3, alive, 630 days 15.2
DO45269 59 years, male, NA, stage:3, alive, 750 days 7.2
DO45277 64 years, male, NA, stage:3, alive, 600 days 6.1
DO45279 67 years, male, NA, stage:3, alive, 1290 days 4.3
DO45145 78 years, male, NA, stage:3, dead, 60 days 2.7
DO23523 52 years, male, NA, stage:3, alive, 1080 days 2.3
DO45289 78 years, female, NA, stage:3, alive, 360 days 1.8
DO45297 61 years, female, NA, stage:4, dead, 1260 days 1.4
DO45303 62 years, female, NA, stage:3, alive, 990 days 1.2
DO45285 59 years, male, NA, stage:3, alive, 480 days 1.0
DO45211 76 years, male, NA, stage:3, alive, 240 days 0.7
DO45299 70 years, female, NA, stage:1, alive, 1440 days 0.7
DO45307 54 years, female, NA, stage:4, dead, 240 days 0.6
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LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples 330
Samples
Sample ID Sample type nRPX
425 Tumor 2.4
863 Tumor 2.1
877 Tumor 2.0
921 Tumor 1.4
777 Tumor 1.4
343 Tumor 1.4
363 Tumor 1.4
487 Tumor 1.3
1027 Tumor 1.3
131 Tumor 1.1
743 Tumor 1.1
785 Tumor 1.1
523 Tumor 1.1
697 Tumor 1.0
741 Tumor 1.0
112 Tumor 0.9
355 Tumor 0.9
517 Tumor 0.9
393 Tumor 0.8
227 Tumor 0.8
1041 Tumor 0.8
813 Tumor 0.7
817 Tumor 0.7
1045 Tumor 0.7
953 Tumor 0.7
471 Tumor 0.7
647 Tumor 0.7
977 Tumor 0.6
737 Tumor 0.6
967 Tumor 0.6
1028 Normal 0.6
713 Tumor 0.6
553 Tumor 0.6
924 Normal 0.6
727 Tumor 0.6
778 Normal 0.5
975 Tumor 0.5
695 Tumor 0.5
192 Normal 0.5
671 Tumor 0.5
257 Tumor 0.5
283 Tumor 0.5
491 Tumor 0.5
545 Tumor 0.5
755 Tumor 0.5
365 Tumor 0.5
223 Tumor 0.5
1025 Tumor 0.4
881 Tumor 0.4
538 Normal 0.4
431 Tumor 0.4
963 Tumor 0.4
515 Tumor 0.4
1043 Tumor 0.4
498 Normal 0.4
915 Tumor 0.4
615 Tumor 0.4
746 Normal 0.4
527 Tumor 0.4
375 Tumor 0.4
883 Tumor 0.4
261 Tumor 0.4
525 Tumor 0.3
461 Tumor 0.3
823 Tumor 0.3
937 Tumor 0.3
524 Normal 0.3
878 Normal 0.3
411 Tumor 0.3
455 Tumor 0.3
141 Tumor 0.3
497 Tumor 0.3
224 Normal 0.3
663 Tumor 0.3
367 Tumor 0.3
685 Tumor 0.3
483 Tumor 0.3
465 Tumor 0.3
1021 Tumor 0.3
923 Tumor 0.3
981 Tumor 0.2
445 Tumor 0.2
744 Normal 0.2
745 Tumor 0.2
857 Tumor 0.2
452 Normal 0.2
341 Tumor 0.2
473 Tumor 0.2
137 Tumor 0.2
477 Tumor 0.2
147 Tumor 0.2
271 Tumor 0.2
463 Tumor 0.2
911 Tumor 0.2
865 Tumor 0.2
474 Normal 0.2
423 Tumor 0.2
125 Tumor 0.1
391 Tumor 0.1
635 Tumor 0.1
966 Normal 0.1
957 Tumor 0.1
665 Tumor 0.1
546 Normal 0.1
142 Normal 0.1
874 Normal 0.1
1022 Normal 0.1
952 Normal 0.1
297 Tumor 0.1
327 Tumor 0.1
618 Normal 0.1
492 Normal 0.0
554 Normal 0.0
364 Normal 0.0
277 Tumor 0.0
861 Tumor 0.0
526 Normal 0.0
563 Tumor 0.0
161 Tumor 0.0
124 Normal 0.0
328 Normal 0.0
964 Normal 0.0
426 Normal 0.0
113 Tumor 0.0
815 Tumor N/A
867 Tumor 0.0
516 Normal 0.0
493 Tumor 0.0
965 Tumor 0.0
738 Normal 0.0
518 Normal 0.0
228 Normal 0.0
715 Tumor 0.0
922 Normal 0.0
488 Normal 0.0
494 Normal 0.0
696 Normal 0.0
943 Tumor -0.1
982 Normal -0.1
111 Normal -0.1
484 Normal -0.1
913 Tumor -0.1
873 Tumor -0.1
956 Normal -0.1
217 Tumor -0.1
1015 Tumor -0.1
1031 Tumor -0.1
918 Normal -0.1
472 Normal -0.1
742 Normal -0.1
433 Tumor -0.1
617 Tumor -0.1
447 Tumor -0.1
535 Tumor -0.1
221 Tumor -0.1
313 Tumor -0.1
636 Normal -0.1
866 Normal -0.1
938 Normal -0.1
448 Normal -0.1
1026 Normal -0.1
135 Tumor -0.1
916 Normal -0.1
412 Normal -0.1
435 Tumor -0.1
536 Normal -0.1
862 Normal -0.1
728 Normal -0.1
342 Normal -0.1
513 Tumor -0.1
187 Tumor -0.1
344 Normal -0.1
627 Tumor -0.1
444 Normal -0.1
262 Normal -0.2
171 Tumor -0.2
114 Normal -0.2
917 Tumor -0.2
955 Tumor -0.2
951 Tumor -0.2
285 Tumor -0.2
786 Normal -0.2
267 Tumor -0.2
416 Normal -0.2
218 Normal -0.2
286 Normal -0.2
914 Normal -0.2
983 Tumor -0.2
686 Normal -0.2
415 Tumor -0.2
1013 Tumor -0.2
368 Normal -0.2
816 Normal -0.2
641 Tumor -0.2
462 Normal -0.2
268 Normal -0.2
851 Tumor -0.2
421 Tumor -0.2
968 Normal -0.2
716 Normal -0.2
534 Normal -0.2
185 Tumor -0.2
723 Tumor -0.2
464 Normal -0.2
958 Normal -0.2
567 Tumor -0.2
1046 Normal -0.2
864 Normal -0.2
386 Normal -0.2
814 Normal -0.2
396 Normal -0.2
186 Normal -0.3
573 Tumor -0.3
395 Tumor -0.3
672 Normal -0.3
925 Tumor -0.3
132 Normal -0.3
383 Tumor -0.3
976 Normal -0.3
756 Normal -0.3
284 Normal -0.3
258 Normal -0.3
232 Normal -0.3
392 Normal -0.3
136 Normal -0.3
146 Normal -0.3
868 Normal -0.3
698 Normal -0.3
126 Normal -0.3
138 Normal -0.3
468 Normal -0.3
571 Tumor -0.3
514 Normal -0.3
926 Normal -0.3
481 Tumor -0.3
954 Normal -0.3
451 Tumor -0.3
434 Normal -0.3
714 Normal -0.3
188 Normal -0.3
568 Normal -0.3
648 Normal -0.3
311 Tumor -0.3
212 Normal -0.3
882 Normal -0.3
353 Tumor -0.3
466 Normal -0.3
722 Normal -0.3
456 Normal -0.3
272 Normal -0.3
356 Normal -0.3
414 Normal -0.3
432 Normal -0.3
376 Normal -0.4
424 Normal -0.4
195 Tumor -0.4
557 Tumor -0.4
884 Normal -0.4
528 Normal -0.4
384 Normal -0.4
1044 Normal -0.4
436 Normal -0.4
1016 Normal -0.4
196 Normal -0.4
642 Normal -0.4
478 Normal -0.4
574 Normal -0.4
222 Normal -0.4
214 Normal -0.4
357 Tumor -0.4
533 Tumor -0.4
148 Normal -0.4
564 Normal -0.4
818 Normal -0.4
394 Normal -0.4
721 Tumor -0.4
1042 Normal -0.4
162 Normal -0.4
852 Normal -0.4
428 Normal -0.4
191 Tumor -0.4
128 Normal -0.4
172 Normal -0.4
422 Normal -0.4
361 Tumor -0.5
312 Normal -0.5
443 Tumor -0.5
944 Normal -0.5
467 Tumor -0.5
331 Tumor -0.5
662 Normal -0.5
387 Tumor -0.5
298 Normal -0.5
858 Normal -0.5
482 Normal -0.5
616 Normal -0.5
537 Tumor -0.5
558 Normal -0.5
912 Normal -0.5
354 Normal -0.5
666 Normal -0.5
362 Normal -0.5
385 Tumor -0.5
1032 Normal -0.5
145 Tumor -0.5
388 Normal -0.6
213 Tumor -0.6
664 Normal -0.6
123 Tumor -0.6
824 Normal -0.6
366 Normal -0.6
413 Tumor -0.6
231 Tumor -0.6
572 Normal -0.6
628 Normal -0.7
358 Normal -0.7
314 Normal -0.7
446 Normal -0.7
127 Tumor -0.7
211 Tumor -0.7
278 Normal -0.8
352 Normal -0.8
984 Normal -0.8
332 Normal -0.8
1014 Normal -0.8
351 Tumor -0.8
724 Normal -0.9
427 Tumor -1.0
978 Normal -1.0
661 Tumor -1.3
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 HPA001616

Antibody HPA001645

Antibody CAB009809
 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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