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  • SUMMARY

  • TISSUE

  • BRAIN

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  • STRUCT & INT

  • COX7C
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.

COX7C 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.

: 778.66
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 720.5
Number of samples 362
Samples
Sample Description pTPM
TCGA-G3-A25T-01A 45 years, female, white, stage:Stage IIIA, alive, 1553 days 2598.4
TCGA-DD-AA3A-01A 81 years, female, white, stage:Stage I, dead, 410 days 2103.1
TCGA-BC-A10Q-01A 72 years, female, white, stage:'--, dead, 1135 days 1893.9
TCGA-G3-A25S-01A 64 years, male, white, stage:Stage I, dead, 416 days 1739.4
TCGA-ED-A7PZ-01A 61 years, male, asian, stage:Stage II, alive, 6 days 1694.9
TCGA-ED-A82E-01A 60 years, female, asian, stage:Stage IIIA, alive, 408 days 1534.8
TCGA-DD-AADM-01A 58 years, male, asian, stage:Stage II, dead, 12 days 1469.1
TCGA-DD-AAE3-01A 50 years, male, asian, stage:Stage I, alive, 566 days 1435.1
TCGA-DD-A39Y-01A 67 years, male, asian, stage:Stage I, dead, 171 days 1421.3
TCGA-MI-A75I-01A 61 years, male, black or african american, stage:'--, alive, 630 days 1408.8
TCGA-ED-A7PX-01A 48 years, female, asian, stage:Stage II, alive, 6 days 1407.7
TCGA-CC-A8HU-01A 39 years, female, asian, stage:Stage IIIA, dead, 344 days 1372.2
TCGA-RG-A7D4-01A 69 years, male, black or african american, stage:Stage II, alive, 1098 days 1352.4
TCGA-2Y-A9H3-01A 45 years, male, white, stage:Stage II, alive, 1516 days 1317.0
TCGA-DD-AAD5-01A 54 years, male, asian, stage:Stage I, alive, 1345 days 1282.7
TCGA-T1-A6J8-01A 68 years, male, white, stage:'--, alive, 23 days 1272.8
TCGA-DD-A118-01A 77 years, female, white, stage:Stage II, alive, 3437 days 1258.0
TCGA-DD-AACH-01A 69 years, male, asian, stage:Stage II, dead, 195 days 1256.1
TCGA-DD-AAEG-01A 59 years, female, asian, stage:Stage I, alive, 719 days 1245.5
TCGA-DD-AACF-01A 68 years, male, asian, stage:Stage I, dead, 365 days 1233.1
TCGA-DD-A39X-01A 78 years, female, white, stage:Stage I, dead, 1694 days 1209.0
TCGA-DD-AAC8-01A 72 years, male, asian, stage:Stage I, dead, 16 days 1199.6
TCGA-CC-A3MC-01A 54 years, male, asian, stage:Stage IIIA, alive, 363 days 1188.7
TCGA-DD-A3A1-01A 65 years, male, stage:Stage IIIA, dead, 233 days 1178.9
TCGA-QA-A7B7-01A 48 years, male, black or african american, stage:Stage II, alive, 94 days 1160.5
TCGA-DD-AACL-01A 66 years, female, asian, stage:Stage I, dead, 107 days 1154.7
TCGA-DD-AAD2-01A 66 years, male, asian, stage:Stage I, alive, 658 days 1129.3
TCGA-DD-AADR-01A 58 years, male, asian, stage:Stage I, alive, 2028 days 1128.2
TCGA-RC-A7SK-01A 59 years, male, asian, stage:Stage I, alive, 472 days 1127.1
TCGA-FV-A495-01A 51 years, female, white, stage:Stage II, alive, 1 days 1126.6
TCGA-5C-A9VG-01A 58 years, male, white, stage:Stage II, alive, 328 days 1096.0
TCGA-CC-A3MA-01A 61 years, male, asian, stage:Stage IIIA, dead, 303 days 1086.7
TCGA-2Y-A9GU-01A 55 years, female, white, stage:Stage I, alive, 1939 days 1076.0
TCGA-LG-A6GG-01A 79 years, female, white, stage:Stage II, alive, 387 days 1071.1
TCGA-ZS-A9CE-01A 79 years, female, white, stage:Stage II, alive, 1241 days 1061.5
TCGA-DD-A3A7-01A 67 years, male, stage:Stage IIIB, dead, 419 days 1061.4
TCGA-DD-AAVR-01A 44 years, male, asian, stage:Stage I, alive, 2513 days 1059.1
TCGA-DD-A4NA-01A 67 years, female, white, stage:Stage IIIC, alive, 1008 days 1053.2
TCGA-DD-AADJ-01A 70 years, female, asian, stage:Stage I, alive, 1066 days 1052.0
TCGA-BC-A112-01A 80 years, male, white, stage:'--, dead, 153 days 1051.4
TCGA-G3-A7M5-01A 76 years, male, asian, stage:Stage I, alive, 447 days 1044.9
TCGA-CC-A8HT-01A 74 years, male, asian, stage:Stage IIIA, dead, 140 days 1044.6
TCGA-DD-A73B-01A 72 years, female, white, stage:Stage I, dead, 283 days 1036.9
TCGA-RC-A7S9-01A 47 years, female, asian, stage:Stage I, alive, 640 days 1034.4
TCGA-ED-A7XO-01A 29 years, male, asian, stage:Stage IIIA, alive, 427 days 1025.7
TCGA-DD-AAE0-01A 45 years, female, asian, stage:Stage IIIA, alive, 555 days 1018.7
TCGA-WX-AA47-01A 33 years, female, white, stage:Stage IIIA, dead, 556 days 1018.0
TCGA-CC-5260-01A 61 years, female, asian, stage:Stage IIIC, dead, 87 days 1015.4
TCGA-G3-AAV5-01A 67 years, male, white, stage:Stage II, alive, 354 days 1014.5
TCGA-DD-AADQ-01A 59 years, male, asian, stage:Stage II, alive, 436 days 1013.1
TCGA-CC-A3MB-01A 36 years, male, asian, stage:Stage IIIA, dead, 315 days 1007.6
TCGA-DD-AAEE-01A 55 years, male, asian, stage:Stage I, alive, 810 days 1005.0
TCGA-G3-A5SI-01A 44 years, male, asian, stage:Stage II, dead, 768 days 1001.8
TCGA-G3-A25X-01A 73 years, male, asian, stage:Stage II, alive, 1779 days 997.8
TCGA-ED-A459-01A 47 years, male, asian, stage:Stage II, alive, 910 days 996.1
TCGA-XR-A8TD-01A 49 years, female, white, stage:Stage IIIB, alive, 1030 days 994.0
TCGA-DD-AAVP-01A 48 years, male, asian, stage:Stage I, alive, 2752 days 991.5
TCGA-CC-A1HT-01A 50 years, male, asian, stage:Stage IIIA, dead, 101 days 988.5
TCGA-DD-A39V-01A 77 years, male, white, stage:Stage II, dead, 643 days 971.8
TCGA-BC-A3KF-01A 66 years, female, white, stage:Stage I, alive, 8 days 965.5
TCGA-DD-AADF-01A 64 years, female, asian, stage:Stage I, dead, 115 days 964.9
TCGA-RC-A6M6-01A 75 years, male, white, stage:Stage II, alive, 9 days 962.5
TCGA-G3-A25Z-01A 58 years, male, asian, stage:Stage I, alive, 655 days 957.8
TCGA-CC-A7IL-01A 61 years, male, asian, stage:Stage IIIA, dead, 278 days 957.2
TCGA-UB-A7MF-01A 56 years, male, white, stage:Stage IIIA, dead, 214 days 953.7
TCGA-ZP-A9D0-01A 67 years, female, black or african american, stage:'--, alive, 1091 days 947.7
TCGA-DD-A3A5-01A 66 years, female, white, stage:Stage III, dead, 3125 days 934.1
TCGA-DD-AAVU-01A 46 years, male, asian, stage:Stage II, alive, 2202 days 930.0
TCGA-CC-A7IG-01A 47 years, male, asian, stage:Stage II, dead, 299 days 925.3
TCGA-DD-AACJ-01A 75 years, male, asian, stage:Stage II, alive, 2102 days 920.9
TCGA-DD-A3A6-01A 72 years, female, white, stage:Stage II, dead, 3258 days 913.2
TCGA-DD-A73G-01A 73 years, female, white, stage:Stage I, alive, 3478 days 912.9
TCGA-BC-A3KG-01A 68 years, female, white, stage:Stage II, alive, 680 days 911.9
TCGA-GJ-A9DB-01A 68 years, male, white, stage:Stage I, dead, 67 days 907.6
TCGA-DD-AACE-01A 62 years, male, asian, stage:Stage I, alive, 2184 days 901.0
TCGA-DD-AAVV-01A 56 years, male, asian, stage:Stage II, alive, 2455 days 898.8
TCGA-DD-AACI-01A 69 years, male, asian, stage:Stage II, alive, 1618 days 891.2
TCGA-DD-AACP-01A 64 years, male, asian, stage:Stage I, alive, 415 days 890.8
TCGA-FV-A2QQ-01A 80 years, male, white, stage:Stage I, alive, 729 days 886.9
TCGA-2Y-A9H4-01A 68 years, male, black or african american, stage:Stage I, alive, 1452 days 878.1
TCGA-DD-AACG-01A 52 years, male, asian, stage:Stage II, dead, 469 days 877.7
TCGA-FV-A3R2-01A 75 years, male, white, stage:Stage I, dead, 194 days 869.0
TCGA-CC-A9FW-01A 68 years, male, asian, stage:Stage IIIA, alive, 248 days 868.9
TCGA-DD-AADY-01A 55 years, female, asian, stage:Stage I, alive, 555 days 868.0
TCGA-DD-AADL-01A 58 years, male, asian, stage:Stage I, alive, 636 days 865.3
TCGA-BC-A10W-01A 50 years, male, asian, stage:'--, dead, 91 days 857.3
TCGA-2Y-A9GY-01A 64 years, female, white, stage:Stage II, dead, 757 days 857.0
TCGA-RC-A7SB-01A 53 years, male, asian, stage:Stage II, alive, 588 days 854.4
TCGA-DD-A1EL-01A 23 years, male, black or african american, stage:Stage II, dead, 415 days 850.2
TCGA-UB-A7MB-01A 24 years, male, white, stage:Stage II, alive, 601 days 844.4
TCGA-K7-AAU7-01A 61 years, male, white, stage:Stage II, alive, 359 days 840.0
TCGA-G3-AAV1-01A 51 years, male, asian, stage:Stage IIIC, dead, 359 days 839.5
TCGA-MI-A75G-01A 63 years, male, white, stage:Stage II, alive, 698 days 835.6
TCGA-ZP-A9CZ-01A 72 years, male, asian, stage:'--, alive, 706 days 835.0
TCGA-4R-AA8I-01A 66 years, male, white, stage:Stage II, dead, 262 days 831.9
TCGA-DD-AAE4-01A 49 years, female, asian, stage:Stage I, alive, 608 days 831.2
TCGA-G3-A3CG-01A 80 years, male, white, stage:Stage I, alive, 673 days 829.0
TCGA-DD-AACV-01A 53 years, male, asian, stage:Stage I, alive, 1531 days 825.0
TCGA-FV-A3I0-01A 76 years, female, white, stage:Stage II, alive, 848 days 824.9
TCGA-CC-A7II-01A 54 years, male, asian, stage:Stage IIIA, alive, 399 days 824.8
TCGA-ES-A2HT-01A 54 years, male, black or african american, stage:Stage I, dead, 438 days 822.0
TCGA-BC-A8YO-01A 66 years, female, white, stage:Stage IIIC, alive, 562 days 820.6
TCGA-DD-AACC-01A 61 years, male, asian, stage:Stage I, dead, 1685 days 816.5
TCGA-O8-A75V-01A 54 years, male, stage:Stage I, alive, 538 days 815.9
TCGA-ZP-A9D1-01A 56 years, female, white, stage:'--, alive, 21 days 804.0
TCGA-CC-A7IK-01A 59 years, male, asian, stage:Stage IIIA, dead, 262 days 799.6
TCGA-CC-A5UD-01A 45 years, male, asian, stage:Stage IIIA, dead, 304 days 795.7
TCGA-DD-A4NH-01A 65 years, female, white, stage:Stage IIIB, alive, 917 days 794.3
TCGA-G3-A25Y-01A 52 years, female, asian, stage:Stage I, dead, 452 days 790.1
TCGA-DD-A4NQ-01A 60 years, male, white, stage:Stage II, dead, 373 days 785.4
TCGA-CC-A5UE-01A 48 years, male, asian, stage:Stage IIIB, dead, 272 days 783.9
TCGA-2Y-A9HA-01A 70 years, male, white, stage:Stage II, dead, 36 days 780.8
TCGA-CC-A7IF-01A 59 years, male, asian, stage:Stage IIIA, dead, 649 days 778.7
TCGA-DD-AACA-01A 65 years, male, asian, stage:Stage I, alive, 2301 days 777.7
TCGA-HP-A5N0-01A 90 years, female, stage:'--, dead, 752 days 772.6
TCGA-KR-A7K7-01A 61 years, female, white, stage:Stage II, alive, 951 days 769.1
TCGA-G3-A5SJ-01A 59 years, male, white, stage:Stage I, alive, 698 days 768.9
TCGA-LG-A9QC-01A 48 years, male, white, stage:Stage I, alive, 425 days 768.9
TCGA-EP-A2KB-01A 46 years, female, white, stage:Stage I, dead, 596 days 768.3
TCGA-2Y-A9H0-01A 49 years, male, white, stage:Stage IIIA, alive, 3675 days 766.4
TCGA-FV-A2QR-01A 75 years, male, white, stage:Stage I, dead, 581 days 766.3
TCGA-DD-AAD3-01A 43 years, male, asian, stage:Stage I, alive, 1295 days 766.1
TCGA-2Y-A9H6-01A 68 years, female, white, stage:Stage I, alive, 357 days 761.4
TCGA-DD-AADV-01A 50 years, male, asian, stage:Stage I, alive, 574 days 761.3
TCGA-DD-AADG-01A 70 years, male, asian, stage:Stage IIIA, alive, 1145 days 760.2
TCGA-DD-AACU-01A 59 years, male, asian, stage:Stage I, alive, 1567 days 760.2
TCGA-DD-AAVX-01A 38 years, male, asian, stage:Stage II, alive, 1718 days 759.6
TCGA-DD-A1EG-01A 76 years, male, white, stage:Stage I, dead, 1372 days 758.2
TCGA-EP-A2KC-01A 62 years, male, black or african american, stage:Stage I, dead, 19 days 757.1
TCGA-WQ-AB4B-01A 62 years, male, white, stage:Stage II, alive, 395 days 754.2
TCGA-5C-A9VH-01A 70 years, male, white, stage:Stage I, alive, 322 days 753.2
TCGA-NI-A4U2-01A 71 years, male, white, stage:Stage IIIA, dead, 1791 days 752.4
TCGA-BC-A217-01A 75 years, female, white, stage:Stage II, dead, 1397 days 752.4
TCGA-DD-A73C-01A 65 years, female, white, stage:Stage IIIA, alive, 701 days 751.7
TCGA-DD-AAW2-01A 69 years, male, asian, stage:Stage I, alive, 1855 days 750.7
TCGA-DD-A4NJ-01A 54 years, female, white, stage:Stage II, alive, 928 days 750.6
TCGA-BD-A2L6-01A 69 years, male, white, stage:'--, alive, 1363 days 747.3
TCGA-DD-A1EI-01A 46 years, male, asian, stage:Stage I, alive, 183 days 746.2
TCGA-2Y-A9H9-01A 70 years, male, white, stage:Stage I, alive, 697 days 742.9
TCGA-DD-A113-01A 55 years, female, white, stage:Stage II, alive, 2425 days 740.7
TCGA-DD-AAE9-01A 69 years, male, asian, stage:Stage I, alive, 722 days 739.1
TCGA-2Y-A9HB-01A 66 years, male, stage:Stage I, alive, 260 days 736.9
TCGA-PD-A5DF-01A 58 years, female, white, stage:Stage IIIB, dead, 639 days 736.6
TCGA-DD-AACK-01A 70 years, male, asian, stage:Stage I, alive, 9 days 733.3
TCGA-DD-AADS-01A 63 years, male, asian, stage:Stage I, alive, 474 days 732.7
TCGA-XR-A8TC-01A 43 years, female, white, stage:Stage I, alive, 1339 days 732.2
TCGA-ZS-A9CG-01A 55 years, male, white, stage:Stage II, alive, 341 days 727.8
TCGA-EP-A3JL-01A 76 years, male, white, stage:Stage I, alive, 303 days 727.0
TCGA-2Y-A9GS-01A 58 years, male, white, stage:'--, dead, 724 days 719.8
TCGA-5R-AA1C-01A 57 years, male, white, stage:Stage II, alive, 520 days 719.0
TCGA-DD-AAE2-01A 51 years, male, asian, stage:Stage I, alive, 638 days 714.7
TCGA-G3-AAV6-01A 53 years, female, white, stage:Stage IIIA, dead, 65 days 706.9
TCGA-EP-A3RK-01A 73 years, male, white, stage:Stage IIIA, alive, 363 days 706.6
TCGA-DD-AAVS-01A 56 years, male, asian, stage:Stage I, alive, 1823 days 702.4
TCGA-G3-A3CJ-01A 52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days 698.6
TCGA-G3-A7M9-01A 70 years, male, white, stage:Stage IIIB, dead, 56 days 698.5
TCGA-RC-A7SF-01A 66 years, male, asian, stage:Stage I, alive, 579 days 696.9
TCGA-MI-A75H-01A 77 years, male, white, stage:'--, alive, 747 days 693.6
TCGA-G3-A25U-01A 63 years, female, asian, stage:Stage I, alive, 1636 days 693.2
TCGA-G3-AAUZ-01A 48 years, male, stage:Stage I, alive, 480 days 691.0
TCGA-DD-A4NE-01A 75 years, female, white, stage:Stage IIIA, dead, 660 days 690.8
TCGA-DD-AACZ-01A 63 years, female, asian, stage:Stage I, dead, 171 days 689.3
TCGA-BC-A69H-01A 64 years, male, white, stage:Stage II, alive, 444 days 689.1
TCGA-EP-A2KA-01A 52 years, female, white, stage:Stage IIIA, dead, 627 days 687.8
TCGA-MI-A75E-01A 61 years, male, white, stage:Stage IIIC, alive, 507 days 687.2
TCGA-EP-A26S-01A 70 years, male, white, stage:Stage I, alive, 608 days 684.2
TCGA-CC-5262-01A 67 years, male, asian, stage:Stage IIIC, dead, 103 days 682.3
TCGA-DD-AACO-01A 40 years, male, asian, stage:Stage I, alive, 1876 days 680.0
TCGA-DD-AACW-01A 43 years, male, asian, stage:Stage I, alive, 1424 days 678.8
TCGA-DD-A119-01A 40 years, male, asian, stage:Stage IV, dead, 223 days 678.6
TCGA-CC-A5UC-01A 63 years, male, asian, stage:Stage IIIA, dead, 347 days 678.1
TCGA-BC-A216-01A 62 years, female, white, stage:Stage IIIA, alive, 1351 days 677.8
TCGA-DD-AAVY-01A 56 years, male, asian, stage:Stage IIIA, alive, 1970 days 675.6
TCGA-DD-A73E-01A 66 years, male, white, stage:Stage I, alive, 44 days 675.3
TCGA-2Y-A9GZ-01A 82 years, female, white, stage:Stage II, dead, 848 days 672.3
TCGA-RC-A6M5-01A 20 years, female, white, stage:Stage IVA, alive, 15 days 667.3
TCGA-DD-AAEA-01A 65 years, male, asian, stage:Stage I, alive, 575 days 665.3
TCGA-DD-A11C-01A 69 years, male, white, stage:Stage I, alive, 662 days 663.7
TCGA-UB-A7MC-01A 59 years, male, white, stage:Stage IIIA, alive, 500 days 657.8
TCGA-DD-A4NK-01A 80 years, female, white, stage:Stage IIIA, dead, 1210 days 656.9
TCGA-DD-A4NF-01A 72 years, male, white, stage:Stage I, alive, 942 days 655.7
TCGA-HP-A5MZ-01A 78 years, male, stage:Stage I, dead, 91 days 655.7
TCGA-MR-A520-01A 58 years, male, white, stage:Stage I, alive, 229 days 653.0
TCGA-DD-A3A2-01A 76 years, female, white, stage:Stage I, dead, 2131 days 652.6
TCGA-DD-A3A3-01A 45 years, male, asian, stage:Stage I, dead, 535 days 652.3
TCGA-DD-A4NV-01A 61 years, male, white, stage:Stage IIIA, alive, 2398 days 645.0
TCGA-FV-A496-01A 84 years, female, white, stage:Stage I, alive, 10 days 643.5
TCGA-G3-A3CI-01A 71 years, male, white, stage:Stage I, alive, 180 days 643.4
TCGA-G3-A5SM-01A 58 years, male, white, stage:Stage II, alive, 520 days 643.2
TCGA-GJ-A3OU-01A 59 years, male, white, stage:Stage I, alive, 879 days 641.1
TCGA-DD-AADI-01A 43 years, female, asian, stage:Stage I, alive, 1085 days 640.1
TCGA-DD-AADP-01A 45 years, male, asian, stage:Stage I, alive, 458 days 639.1
TCGA-DD-A39Z-01A 43 years, female, stage:Stage II, dead, 601 days 639.1
TCGA-DD-A3A9-01A 64 years, female, white, stage:Stage IVB, dead, 931 days 637.1
TCGA-DD-AACB-01A 74 years, female, asian, stage:Stage I, alive, 2324 days 634.6
TCGA-2Y-A9H7-01A 81 years, female, white, stage:Stage I, alive, 1168 days 634.1
TCGA-BD-A3EP-01A 75 years, female, black or african american, stage:Stage I, alive, 409 days 633.2
TCGA-FV-A4ZQ-01A 52 years, male, white, stage:Stage I, alive, 12 days 631.6
TCGA-MI-A75C-01A 64 years, male, white, stage:Stage I, alive, 291 days 631.5
TCGA-DD-A1EJ-01A 71 years, female, white, stage:Stage IIIC, dead, 1005 days 631.5
TCGA-ZP-A9D4-01A 64 years, female, white, stage:'--, alive, 395 days 631.0
TCGA-ED-A7XP-01A 53 years, female, asian, stage:Stage II, alive, 400 days 630.7
TCGA-DD-A4ND-01A 56 years, female, white, stage:Stage I, alive, 2746 days 630.3
TCGA-DD-AAW0-01A 54 years, male, asian, stage:Stage I, alive, 2015 days 628.9
TCGA-G3-AAV4-01A 83 years, female, white, stage:Stage I, dead, 27 days 628.5
TCGA-5R-AAAM-01A 65 years, female, white, stage:Stage II, dead, 46 days 627.1
TCGA-RC-A7SH-01A 42 years, male, asian, stage:Stage II, alive, 468 days 626.3
TCGA-GJ-A6C0-01A 75 years, female, white, stage:Stage II, dead, 31 days 625.0
TCGA-2Y-A9GW-01A 64 years, male, white, stage:Stage I, dead, 1271 days 622.7
TCGA-G3-A25V-01A 68 years, male, white, stage:Stage I, alive, 860 days 622.4
TCGA-G3-A3CK-01A 61 years, male, asian, stage:Stage I, alive, 585 days 621.9
TCGA-CC-A9FS-01A 55 years, male, asian, stage:Stage II, alive, 211 days 620.9
TCGA-DD-AAVW-01A 35 years, male, asian, stage:Stage I, alive, 2317 days 619.1
TCGA-G3-A7M8-01A 31 years, male, asian, stage:Stage I, alive, 430 days 618.5
TCGA-BC-A10Y-01A 76 years, male, white, stage:'--, dead, 711 days 615.1
TCGA-DD-AADD-01A 51 years, male, asian, stage:Stage I, alive, 1231 days 614.2
TCGA-KR-A7K2-01A 64 years, male, white, stage:Stage I, alive, 829 days 612.5
TCGA-DD-AADW-01A 48 years, male, asian, stage:Stage I, alive, 587 days 610.9
TCGA-ED-A66X-01A 35 years, male, asian, stage:Stage IIIA, alive, 406 days 610.0
TCGA-DD-AAW3-01A 69 years, male, asian, stage:Stage I, alive, 1633 days 609.1
TCGA-BC-A5W4-01A 69 years, male, white, stage:Stage IIIA, dead, 547 days 608.1
TCGA-DD-A115-01A 53 years, male, white, stage:Stage IIIA, dead, 2542 days 606.1
TCGA-ES-A2HS-01A 80 years, male, white, stage:Stage I, dead, 688 days 605.6
TCGA-DD-AACQ-01A 50 years, male, asian, stage:Stage II, dead, 432 days 605.0
TCGA-DD-AADN-01A 59 years, male, asian, stage:Stage I, alive, 898 days 604.5
TCGA-5R-AA1D-01A 17 years, female, white, stage:Stage IIIA, alive, 449 days 604.0
TCGA-RC-A6M4-01A 74 years, female, white, stage:Stage IIIA, alive, 22 days 603.2
TCGA-FV-A3R3-01A 38 years, female, white, stage:Stage I, dead, 366 days 602.3
TCGA-DD-A4NO-01A 65 years, male, white, stage:Stage I, alive, 2245 days 600.9
TCGA-UB-A7MD-01A 67 years, male, black or african american, stage:Stage I, dead, 52 days 595.9
TCGA-BW-A5NO-01A 50 years, male, black or african american, stage:Stage IIIA, alive, 20 days 595.0
TCGA-2Y-A9H1-01A 58 years, male, white, stage:Stage I, dead, 1229 days 592.7
TCGA-ED-A5KG-01A 60 years, female, asian, stage:Stage II, alive, 854 days 588.6
TCGA-DD-AACX-01A 66 years, male, asian, stage:Stage II, alive, 170 days 588.2
TCGA-CC-5261-01A 44 years, male, asian, stage:Stage II, dead, 97 days 585.9
TCGA-ZS-A9CD-01A 73 years, male, white, stage:Stage II, dead, 1386 days 584.4
TCGA-FV-A3I1-01A 81 years, female, white, stage:Stage II, dead, 247 days 583.3
TCGA-DD-A73A-01A 71 years, male, white, stage:Stage I, alive, 728 days 582.2
TCGA-DD-AAE1-01A 52 years, male, asian, stage:Stage I, alive, 552 days 577.0
TCGA-DD-AAEH-01A 73 years, male, asian, stage:Stage I, alive, 784 days 575.5
TCGA-CC-A7IE-01A 57 years, male, asian, stage:Stage IIIA, dead, 217 days 574.5
TCGA-DD-A73F-01A 77 years, female, white, stage:Stage I, alive, 1085 days 572.7
TCGA-XR-A8TG-01A 58 years, male, white, stage:Stage I, alive, 898 days 568.2
TCGA-G3-A7M7-01A 65 years, male, white, stage:Stage I, alive, 361 days 568.0
TCGA-DD-A11D-01A 57 years, female, white, stage:Stage I, dead, 1560 days 563.4
TCGA-DD-A4NR-01A 85 years, female, white, stage:Stage I, dead, 9 days 561.8
TCGA-DD-AAE6-01A 59 years, female, asian, stage:Stage I, alive, 141 days 560.0
TCGA-CC-A7IJ-01A 56 years, male, asian, stage:Stage II, alive, 382 days 559.8
TCGA-DD-A4NN-01A 56 years, female, white, stage:Stage I, dead, 899 days 557.0
TCGA-ZP-A9CY-01A 66 years, female, white, stage:'--, alive, 782 days 555.3
TCGA-3K-AAZ8-01A 65 years, male, black or african american, stage:Stage IIIB, alive, 396 days 555.2
TCGA-DD-A1EA-01A 68 years, male, asian, stage:Stage II, alive, 2415 days 553.2
TCGA-DD-A1EC-01A 20 years, female, white, stage:Stage I, alive, 602 days 550.6
TCGA-DD-AAD8-01A 73 years, female, asian, stage:Stage I, alive, 1219 days 549.9
TCGA-G3-AAV3-01A 58 years, female, white, stage:Stage II, alive, 412 days 549.3
TCGA-ED-A7PY-01A 20 years, female, asian, stage:Stage II, alive, 390 days 548.9
TCGA-CC-A3M9-01A 45 years, male, asian, stage:Stage IIIA, dead, 300 days 545.7
TCGA-MR-A8JO-01A 34 years, male, white, stage:Stage I, alive, 330 days 545.1
TCGA-ED-A8O5-01A 59 years, female, asian, stage:Stage IIIA, alive, 406 days 545.1
TCGA-BC-A10U-01A 69 years, male, white, stage:'--, dead, 837 days 540.2
TCGA-2Y-A9GX-01A 68 years, male, white, stage:Stage I, alive, 2442 days 539.1
TCGA-DD-AADO-01A 55 years, male, asian, stage:Stage I, alive, 453 days 538.6
TCGA-KR-A7K0-01A 65 years, male, white, stage:Stage I, dead, 65 days 538.5
TCGA-CC-A123-01A 24 years, female, asian, stage:Stage IIIA, alive, 219 days 538.3
TCGA-BC-A10Z-01A 62 years, female, white, stage:Stage I, dead, 34 days 537.9
TCGA-XR-A8TF-01A 74 years, male, white, stage:Stage I, dead, 693 days 537.8
TCGA-G3-AAV2-01A 50 years, male, white, stage:Stage I, alive, 372 days 536.7
TCGA-CC-5259-01A 60 years, female, asian, stage:Stage IIIC, alive, 250 days 535.3
TCGA-FV-A23B-01A 70 years, female, white, stage:Stage II, dead, 1852 days 533.4
TCGA-ZS-A9CF-01A 64 years, male, white, stage:Stage II, alive, 2412 days 533.3
TCGA-DD-AADC-01A 53 years, male, asian, stage:Stage I, dead, 425 days 529.0
TCGA-DD-AADU-01A 60 years, male, asian, stage:Stage II, alive, 554 days 528.3
TCGA-DD-AAEK-01A 51 years, male, asian, stage:Stage II, alive, 1067 days 525.3
TCGA-DD-AAVZ-01A 38 years, male, asian, stage:Stage I, alive, 1900 days 523.3
TCGA-K7-A5RG-01A 66 years, male, black or african american, stage:Stage I, alive, 519 days 521.9
TCGA-YA-A8S7-01A 68 years, male, white, stage:Stage IIIA, dead, 412 days 518.5
TCGA-CC-A8HV-01A 51 years, female, asian, stage:Stage II, dead, 279 days 518.5
TCGA-DD-AAC9-01A 51 years, male, asian, stage:Stage I, alive, 347 days 512.1
TCGA-DD-AACD-01A 48 years, male, asian, stage:Stage I, dead, 381 days 510.7
TCGA-DD-AADB-01A 51 years, male, asian, stage:Stage I, alive, 1242 days 509.4
TCGA-UB-A7MA-01A 62 years, female, white, stage:Stage II, alive, 848 days 509.2
TCGA-UB-AA0V-01A 69 years, female, white, stage:Stage I, alive, 314 days 508.6
TCGA-CC-5263-01A 35 years, male, asian, stage:Stage IIIA, dead, 129 days 503.4
TCGA-G3-A7M6-01A 60 years, female, white, stage:Stage I, alive, 632 days 499.2
TCGA-WQ-A9G7-01A 71 years, female, white, stage:'--, alive, 30 days 497.5
TCGA-KR-A7K8-01A 57 years, male, stage:Stage I, alive, 906 days 497.4
TCGA-G3-A3CH-01A 53 years, male, asian, stage:Stage IIIA, alive, 780 days 497.0
TCGA-NI-A8LF-01A 74 years, male, white, stage:Stage I, alive, 799 days 496.3
TCGA-2Y-A9H5-01A 59 years, female, white, stage:Stage I, dead, 555 days 495.8
TCGA-DD-AAEI-01A 72 years, male, asian, stage:Stage I, alive, 1531 days 491.4
TCGA-BD-A3ER-01A 62 years, male, white, stage:Stage II, alive, 1115 days 489.3
TCGA-DD-A11B-01A 73 years, male, white, stage:Stage I, dead, 14 days 488.4
TCGA-ED-A627-01A 74 years, male, white, stage:Stage I, alive, 423 days 487.2
TCGA-DD-AACT-01A 69 years, female, asian, stage:Stage I, alive, 1562 days 486.9
TCGA-DD-AACY-01A 61 years, male, asian, stage:Stage I, alive, 1450 days 486.9
TCGA-DD-AAD0-01A 73 years, female, asian, stage:Stage I, alive, 137 days 486.5
TCGA-DD-AAW1-01A 55 years, male, asian, stage:Stage IIIA, alive, 1989 days 485.3
TCGA-CC-A7IH-01A 58 years, male, asian, stage:Stage IIIA, alive, 365 days 484.6
TCGA-DD-AAED-01A 51 years, male, asian, stage:Stage I, alive, 763 days 484.1
TCGA-DD-AAVQ-01A 38 years, male, asian, stage:Stage I, alive, 2728 days 482.6
TCGA-G3-AAV7-01A 38 years, male, asian, stage:Stage II, alive, 361 days 482.0
TCGA-BC-A10S-01A 81 years, male, white, stage:'--, dead, 1423 days 480.8
TCGA-G3-AAV0-01A 58 years, male, asian, stage:Stage I, alive, 476 days 480.4
TCGA-G3-A5SK-01A 58 years, male, white, stage:Stage I, alive, 744 days 479.0
TCGA-DD-AAD1-01A 51 years, female, asian, stage:Stage I, alive, 564 days 478.2
TCGA-ED-A66Y-01A 51 years, female, asian, stage:Stage IIIA, dead, 296 days 477.2
TCGA-CC-5264-01A 71 years, male, asian, stage:Stage IIIA, dead, 102 days 475.0
TCGA-DD-A1EK-01A 64 years, female, white, stage:Stage IVB, dead, 558 days 470.6
TCGA-K7-A6G5-01A 66 years, male, white, stage:Stage I, alive, 512 days 470.6
TCGA-WX-AA44-01A 64 years, female, white, stage:Stage I, alive, 615 days 469.3
TCGA-UB-AA0U-01A 60 years, male, white, stage:Stage II, alive, 327 days 468.2
TCGA-DD-A4NS-01A 61 years, female, white, stage:Stage I, dead, 2456 days 462.9
TCGA-K7-A5RF-01A 64 years, male, white, stage:Stage I, alive, 631 days 458.6
TCGA-DD-A114-01A 42 years, male, black or african american, stage:Stage II, dead, 1149 days 457.5
TCGA-BC-A69I-01A 69 years, male, white, stage:Stage I, alive, 387 days 454.9
TCGA-G3-A5SL-01A 70 years, male, white, stage:Stage II, alive, 621 days 453.5
TCGA-2Y-A9H8-01A 85 years, female, white, stage:'--, dead, 633 days 450.5
TCGA-DD-AACS-01A 39 years, male, asian, stage:Stage I, alive, 1804 days 448.4
TCGA-ED-A97K-01A 54 years, male, asian, stage:Stage IIIA, alive, 6 days 448.2
TCGA-DD-A39W-01A 29 years, female, white, stage:Stage III, dead, 827 days 448.0
TCGA-5C-AAPD-01A 61 years, male, asian, stage:Stage II, alive, 20 days 444.1
TCGA-DD-A4NP-01A 32 years, male, white, stage:Stage I, alive, 3308 days 443.7
TCGA-DD-A116-01A 68 years, male, asian, stage:Stage IIIA, dead, 1622 days 443.0
TCGA-DD-A1EF-01A 57 years, female, white, stage:Stage I, dead, 394 days 440.4
TCGA-DD-A4NB-01A 25 years, male, white, stage:Stage I, alive, 989 days 435.4
TCGA-G3-A6UC-01A 65 years, male, white, stage:Stage IIIB, alive, 671 days 434.7
TCGA-WX-AA46-01A 61 years, male, white, stage:Stage II, alive, 756 days 433.5
TCGA-BC-A10X-01A 52 years, female, white, stage:Stage IIIA, dead, 770 days 431.8
TCGA-ED-A4XI-01A 58 years, male, asian, stage:Stage II, alive, 819 days 428.4
TCGA-ZP-A9D2-01A 51 years, male, white, stage:'--, dead, 765 days 424.7
TCGA-DD-AADA-01A 66 years, female, asian, stage:Stage I, alive, 1233 days 422.0
TCGA-2Y-A9GT-01A 51 years, male, white, stage:Stage I, dead, 1624 days 420.0
TCGA-DD-A4NI-01A 67 years, male, white, stage:Stage II, alive, 816 days 420.0
TCGA-2Y-A9H2-01A 64 years, female, white, stage:Stage I, alive, 1731 days 418.0
TCGA-DD-A1EH-01A 23 years, male, white, stage:Stage III, alive, 1495 days 417.0
TCGA-DD-A1EE-01A 73 years, male, white, stage:Stage IIIA, dead, 349 days 415.6
TCGA-DD-A1EB-01A 72 years, female, stage:Stage I, alive, 2017 days 414.1
TCGA-FV-A4ZP-01A 78 years, male, white, stage:Stage IIIA, dead, 2486 days 412.3
TCGA-UB-A7ME-01A 51 years, male, asian, stage:Stage I, alive, 486 days 411.1
TCGA-DD-A73D-01A 68 years, female, white, stage:Stage II, alive, 693 days 410.5
TCGA-CC-5258-01A 48 years, male, asian, stage:Stage II, dead, 129 days 408.8
TCGA-ED-A8O6-01A 50 years, female, asian, stage:Stage IIIA, dead, 56 days 408.7
TCGA-BC-A110-01A 51 years, female, black or african american, stage:'--, dead, 2116 days 405.9
TCGA-DD-AAEB-01A 60 years, male, asian, stage:Stage I, alive, 478 days 383.3
TCGA-ZP-A9CV-01A 59 years, male, white, stage:'--, dead, 1088 days 382.7
TCGA-LG-A9QD-01A 68 years, male, white, stage:Stage IIIA, alive, 366 days 380.7
TCGA-DD-AACN-01A 32 years, male, asian, stage:Stage I, alive, 1302 days 361.1
TCGA-DD-AAD6-01A 66 years, male, asian, stage:Stage IIIA, alive, 672 days 355.3
TCGA-2Y-A9GV-01A 54 years, female, white, stage:Stage I, dead, 2532 days 351.8
TCGA-XR-A8TE-01A 16 years, male, white, stage:Stage IIIA, alive, 925 days 347.7
TCGA-DD-AAE7-01A 72 years, male, asian, stage:Stage I, alive, 644 days 347.2
TCGA-DD-A3A4-01A 37 years, male, white, stage:Stage IIIA, dead, 612 days 345.1
TCGA-DD-A1ED-01A 68 years, male, white, stage:Stage I, alive, 2301 days 343.7
TCGA-BC-A10R-01A 66 years, female, white, stage:'--, dead, 308 days 339.4
TCGA-BC-A10T-01A 76 years, male, white, stage:'--, dead, 837 days 324.7
TCGA-WJ-A86L-01A 68 years, female, white, stage:Stage I, alive, 345 days 321.2
TCGA-EP-A12J-01A 62 years, male, black or african american, stage:Stage I, alive, 570 days 312.9
TCGA-DD-A4NG-01A 77 years, male, white, stage:Stage IIIA, dead, 802 days 294.5
TCGA-DD-AADK-01A 68 years, female, asian, stage:Stage II, alive, 1049 days 276.7
TCGA-DD-A4NL-01A 46 years, male, white, stage:Stage I, alive, 1711 days 275.6
TCGA-CC-A8HS-01A 18 years, male, asian, stage:Stage IIIC, dead, 300 days 249.3
TCGA-DD-A3A8-01A 75 years, male, white, stage:Stage II, dead, 11 days 241.0
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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.

COX7C 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.

: 1299.96
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 1133.1
Number of samples 231
Samples
Sample Description pTPM
DO45149 70 years, female, NA, stage:2, alive, 1260 days 3466.1
DO45119 74 years, male, NA, stage:3, dead, 510 days 3293.9
DO23545 67 years, male, NA, stage:2, dead, 570 days 3184.1
DO50829 78 years, male, NA, stage:3, alive, 570 days 2408.2
DO23518 67 years, male, NA, stage:2, alive, 1320 days 2211.7
DO45143 69 years, male, NA, stage:3, alive, 1290 days 2197.1
DO45289 78 years, female, NA, stage:3, alive, 360 days 2191.3
DO45145 78 years, male, NA, stage:3, dead, 60 days 2183.6
DO48759 73 years, male, NA, stage:3, alive, 720 days 2172.5
DO48741 64 years, male, NA, stage:3, alive, 240 days 2144.0
DO23508 79 years, female, NA, stage:2, alive, 390 days 2135.1
DO23509 60 years, male, NA, stage:3, dead, 780 days 2110.0
DO45283 60 years, male, NA, stage:3, alive, 510 days 2046.2
DO45275 65 years, male, NA, stage:3, dead, 10 days 1976.3
DO45091 56 years, male, NA, stage:2, dead, 1320 days 1958.9
DO45133 64 years, male, NA, stage:3, dead, 660 days 1946.1
DO45259 65 years, male, NA, stage:3, alive, 330 days 1927.4
DO48682 72 years, female, NA, stage:3, dead, 120 days 1846.4
DO45287 74 years, male, NA, stage:1, alive, 390 days 1845.1
DO45235 68 years, female, NA, stage:1, alive, 900 days 1843.9
DO45285 59 years, male, NA, stage:3, alive, 480 days 1826.9
DO45185 89 years, male, NA, stage:2, alive, 600 days 1809.9
DO45163 76 years, male, NA, stage:2, alive, 960 days 1793.8
DO23519 65 years, male, NA, stage:3, alive, 630 days 1773.4
DO45103 47 years, male, NA, stage:3, alive, 450 days 1725.0
DO45099 46 years, male, NA, stage:3, alive, 1590 days 1707.4
DO45189 85 years, female, NA, stage:2, alive, 1200 days 1665.2
DO45303 62 years, female, NA, stage:3, alive, 990 days 1657.3
DO48723 73 years, male, NA, stage:1, alive, 600 days 1639.3
DO45297 61 years, female, NA, stage:4, dead, 1260 days 1627.4
DO50825 70 years, male, NA, stage:2, alive, 390 days 1624.7
DO50798 77 years, male, NA, stage:3, dead, 30 days 1619.3
DO45221 75 years, female, NA, stage:4, dead, 390 days 1615.7
DO45305 66 years, male, NA, stage:4, alive, 300 days 1609.9
DO50832 73 years, male, NA, stage:3, alive, 90 days 1585.7
DO50814 83 years, male, NA, stage:3, alive, 420 days 1554.5
DO45227 57 years, female, NA, stage:2, alive, 1020 days 1548.4
DO45249 57 years, male, NA, stage:1, alive, 630 days 1529.8
DO45092 62 years, male, NA, stage:4, dead, 1200 days 1521.5
DO50791 79 years, female, NA, stage:1, dead, 480 days 1514.1
DO45096 69 years, male, NA, stage:2, dead, 1290 days 1514.1
DO45169 74 years, male, NA, stage:3, alive, 1350 days 1513.6
DO23546 63 years, male, NA, stage:2, alive, 1050 days 1492.9
DO45095 66 years, male, NA, stage:2, alive, 1620 days 1485.7
DO23533 61 years, male, NA, stage:2, alive, 900 days 1480.6
DO45097 69 years, male, NA, stage:3, alive, 1620 days 1463.5
DO48672 81 years, male, NA, stage:2, alive, 450 days 1441.5
DO50783 62 years, male, NA, stage:3, alive, 480 days 1441.4
DO48693 71 years, male, NA, stage:2, alive, 900 days 1437.0
DO48721 58 years, female, NA, stage:1, alive, 900 days 1432.0
DO45261 74 years, male, NA, stage:3, alive, 990 days 1414.1
DO45279 67 years, male, NA, stage:3, alive, 1290 days 1403.2
DO45267 73 years, male, NA, stage:3, dead, 570 days 1403.1
DO48747 62 years, male, NA, stage:3, alive, 540 days 1386.3
DO45117 73 years, female, NA, stage:2, dead, 1110 days 1365.6
DO23515 71 years, male, NA, stage:2, alive, 1230 days 1365.3
DO45257 46 years, male, NA, stage:3, alive, 810 days 1361.0
DO50819 72 years, female, NA, stage:2, alive, 510 days 1359.5
DO23538 67 years, male, NA, stage:2, alive, 450 days 1349.5
DO45127 73 years, male, NA, stage:3, dead, 420 days 1333.6
DO50808 68 years, male, NA, stage:2, alive, 570 days 1321.3
DO45183 72 years, female, NA, stage:2, dead, 570 days 1310.1
DO50844 75 years, male, NA, stage:4, alive, 300 days 1305.2
DO23524 71 years, female, NA, stage:2, alive, 1050 days 1305.0
DO50809 56 years, male, NA, stage:3, dead, 720 days 1301.0
DO45135 77 years, male, NA, stage:1, alive, 1410 days 1298.9
DO45277 64 years, male, NA, stage:3, alive, 600 days 1297.2
DO45269 59 years, male, NA, stage:3, alive, 750 days 1295.0
DO45171 56 years, male, NA, stage:3, alive, 600 days 1289.5
DO45139 63 years, male, NA, stage:3, alive, 1320 days 1273.9
DO50839 47 years, female, NA, stage:3, alive, 330 days 1254.0
DO45179 78 years, female, NA, stage:2, alive, 600 days 1243.0
DO45231 84 years, male, NA, stage:2, alive, 930 days 1240.2
DO50789 73 years, female, NA, stage:2, alive, 570 days 1237.8
DO45173 63 years, male, NA, stage:3, alive, 1170 days 1225.0
DO23552 80 years, female, NA, stage:1, alive, 810 days 1223.0
DO45299 70 years, female, NA, stage:1, alive, 1440 days 1217.7
DO45159 65 years, male, NA, stage:3, alive, 1470 days 1204.1
DO23541 65 years, male, NA, stage:2, alive, 930 days 1180.3
DO50857 72 years, male, NA, stage:2, alive, 210 days 1171.8
DO45161 74 years, male, NA, stage:2, dead, 540 days 1170.5
DO50776 75 years, male, NA, stage:1, alive, 690 days 1169.0
DO45253 50 years, male, NA, stage:2, alive, 870 days 1161.3
DO45093 71 years, male, NA, stage:2, dead, 720 days 1161.1
DO23510 80 years, female, NA, stage:2, alive, 870 days 1157.8
DO23528 45 years, female, NA, stage:2, alive, 1020 days 1156.2
DO50859 77 years, male, NA, stage:2, alive, 180 days 1156.1
DO48732 73 years, male, NA, stage:3, alive, 630 days 1156.1
DO45255 81 years, male, NA, stage:3, alive, 720 days 1153.6
DO45165 75 years, male, NA, stage:2, alive, 690 days 1153.5
DO48717 54 years, male, NA, stage:4, dead, 180 days 1153.4
DO23537 79 years, male, NA, stage:2, dead, 900 days 1152.8
DO45263 67 years, male, NA, stage:3, dead, 270 days 1152.7
DO45157 62 years, male, NA, stage:2, alive, 1980 days 1151.9
DO50802 49 years, male, NA, stage:2, alive, 930 days 1148.2
DO45123 78 years, female, NA, stage:2, dead, 570 days 1147.5
DO50811 62 years, male, NA, stage:1, alive, 450 days 1142.6
DO48719 80 years, male, NA, stage:2, alive, 690 days 1142.4
DO45203 71 years, female, NA, stage:2, alive, 1170 days 1140.9
DO45281 83 years, male, NA, stage:4, alive, 750 days 1135.2
DO45115 81 years, male, NA, stage:2, alive, 840 days 1128.0
DO50774 68 years, female, NA, stage:2, alive, 720 days 1127.5
DO48700 78 years, female, NA, stage:2, alive, 810 days 1124.0
DO45265 73 years, male, NA, stage:3, alive, 1020 days 1123.5
DO48697 64 years, female, NA, stage:2, dead, 810 days 1122.7
DO45225 69 years, male, NA, stage:1, alive, 1050 days 1116.5
DO23536 56 years, male, NA, stage:2, alive, 930 days 1107.8
DO50855 47 years, male, NA, stage:2, alive, 570 days 1098.3
DO45273 62 years, male, NA, stage:2, alive, 480 days 1096.3
DO45307 54 years, female, NA, stage:4, dead, 240 days 1092.0
DO45175 74 years, male, NA, stage:2, alive, 1140 days 1085.3
DO227643 79 years, male, NA, stage:2, alive, 1260 days 1073.8
DO45219 78 years, male, NA, stage:2, alive, 1080 days 1072.3
DO23513 76 years, male, NA, stage:3, alive, 1200 days 1069.1
DO48737 52 years, male, NA, stage:1, alive, 720 days 1060.4
DO23514 64 years, male, NA, stage:2, alive, 1290 days 1059.2
DO48730 73 years, female, NA, stage:2, alive, 630 days 1051.4
DO48720 62 years, female, NA, stage:2, alive, 570 days 1048.7
DO45223 67 years, male, NA, stage:4, alive, 1020 days 1048.5
DO23525 71 years, male, NA, stage:4, alive, 1050 days 1016.1
DO50805 72 years, male, NA, stage:2, alive, 690 days 1013.9
DO45211 76 years, male, NA, stage:3, alive, 240 days 1007.3
DO45177 81 years, female, NA, stage:3, alive, 1260 days 1007.2
DO45237 58 years, male, NA, stage:2, alive, 900 days 1006.1
DO45213 58 years, male, NA, stage:1, alive, 1200 days 995.6
DO45197 51 years, male, NA, stage:2, alive, 1170 days 995.4
DO50840 49 years, male, NA, stage:2, alive, 330 days 988.7
DO45137 38 years, male, NA, stage:1, alive, 1320 days 987.6
DO45129 61 years, male, NA, stage:3, alive, 1470 days 985.2
DO23534 60 years, male, NA, stage:2, alive, 840 days 984.4
DO50818 65 years, male, NA, stage:2, alive, 510 days 981.6
DO23526 66 years, male, NA, stage:3, alive, 1050 days 977.7
DO48712 50 years, male, NA, stage:2, alive, 810 days 970.4
DO45243 74 years, female, NA, stage:3, alive, 930 days 965.0
DO45111 74 years, male, NA, stage:2, alive, 1590 days 963.2
DO45153 77 years, female, NA, stage:2, alive, 1380 days 957.9
DO45187 32 years, female, NA, stage:1, alive, 1260 days 953.7
DO50813 56 years, male, NA, stage:2, alive, 420 days 947.9
DO48742 76 years, male, NA, stage:2, alive, 600 days 945.2
DO50822 66 years, male, NA, stage:2, alive, 510 days 940.2
DO48681 57 years, male, NA, stage:2, alive, 900 days 936.5
DO50787 63 years, male, NA, stage:3, alive, 480 days 929.2
DO23527 72 years, male, NA, stage:1, alive, 1050 days 922.9
DO23530 53 years, male, NA, stage:4, dead, 180 days 921.0
DO45101 63 years, male, NA, stage:2, alive, 1680 days 920.0
DO48679 72 years, male, NA, stage:2, alive, 1200 days 914.9
DO45245 75 years, female, NA, stage:2, dead, 240 days 913.7
DO48695 77 years, male, NA, stage:2, alive, 720 days 908.1
DO45215 65 years, male, NA, stage:2, alive, 1170 days 903.0
DO45181 84 years, female, NA, stage:2, alive, 1200 days 898.1
DO45113 58 years, male, NA, stage:3, alive, 1560 days 895.2
DO23529 72 years, male, NA, stage:4, alive, 930 days 895.2
DO48761 55 years, male, NA, stage:2, alive, 870 days 885.6
DO45199 86 years, female, NA, stage:2, alive, 1350 days 878.8
DO45251 57 years, female, NA, stage:2, alive, 900 days 877.4
DO50785 37 years, male, NA, stage:4, dead, 90 days 870.9
DO48674 80 years, male, NA, stage:2, alive, 1260 days 866.7
DO48725 66 years, male, NA, stage:1, alive, 780 days 859.9
DO227801 77 years, female, NA, stage:1, alive, 660 days 857.6
DO45141 73 years, male, NA, stage:2, alive, 1320 days 856.6
DO50850 74 years, male, NA, stage:3, alive, 720 days 854.4
DO50799 66 years, female, NA, stage:2, alive, 540 days 851.4
DO45207 68 years, male, NA, stage:1, alive, 1050 days 850.5
DO23539 77 years, male, NA, stage:1, alive, 1110 days 850.1
DO50806 70 years, male, NA, stage:4, alive, 540 days 847.6
DO48746 76 years, male, NA, stage:3, alive, 570 days 844.1
DO23549 74 years, male, NA, stage:3, alive, 990 days 826.2
DO45195 62 years, male, NA, stage:1, alive, 390 days 820.9
DO23512 60 years, male, NA, stage:1, alive, 1260 days 812.6
DO45201 49 years, male, NA, stage:1, alive, 900 days 812.5
DO45191 61 years, female, NA, stage:2, alive, 1200 days 809.1
DO48743 69 years, female, NA, stage:2, alive, 570 days 808.1
DO48715 58 years, female, NA, stage:2, dead, 690 days 801.8
DO48704 68 years, female, NA, stage:3, alive, 750 days 801.2
DO48760 70 years, female, NA, stage:2, alive, 690 days 800.4
DO48728 74 years, female, NA, stage:2, alive, 150 days 776.5
DO23521 63 years, male, NA, stage:3, alive, 1110 days 769.6
DO23542 66 years, male, NA, stage:3, alive, 960 days 768.4
DO50800 74 years, male, NA, stage:2, alive, 510 days 768.2
DO48751 68 years, male, NA, stage:2, dead, 480 days 765.2
DO45193 68 years, female, NA, stage:4, dead, 120 days 761.0
DO23516 69 years, male, NA, stage:3, dead, 20 days 752.5
DO45239 42 years, male, NA, stage:2, alive, 870 days 748.2
DO48736 76 years, female, NA, stage:1, alive, 600 days 743.7
DO23531 78 years, female, NA, stage:3, alive, 900 days 741.9
DO45125 58 years, male, NA, stage:3, alive, 1680 days 738.7
DO23517 62 years, male, NA, stage:2, alive, 1200 days 738.0
DO50807 67 years, male, NA, stage:1, alive, 540 days 729.7
DO45121 61 years, male, NA, stage:3, alive, 1530 days 727.7
DO45105 61 years, male, NA, stage:1, alive, 1680 days 724.3
DO45233 83 years, male, NA, stage:3, alive, 900 days 718.5
DO45247 31 years, female, NA, stage:2, alive, 210 days 716.7
DO45167 67 years, male, NA, stage:2, dead, 1440 days 716.4
DO48677 58 years, male, NA, stage:3, alive, 1140 days 715.8
DO50820 77 years, female, NA, stage:3, alive, 510 days 708.6
DO45241 49 years, male, NA, stage:1, alive, 1080 days 707.1
DO23523 52 years, male, NA, stage:3, alive, 1080 days 706.9
DO48716 71 years, male, NA, stage:2, alive, 720 days 692.1
DO45094 76 years, male, NA, stage:3, alive, 1650 days 681.6
DO45229 74 years, male, NA, stage:1, alive, 990 days 679.3
DO23543 63 years, male, NA, stage:2, alive, 1020 days 679.3
DO48706 72 years, male, NA, stage:2, alive, 870 days 678.2
DO45301 56 years, male, NA, stage:2, dead, 1440 days 667.4
DO48701 78 years, male, NA, stage:2, alive, 780 days 663.8
DO50815 62 years, male, NA, stage:3, alive, 150 days 658.5
DO23550 69 years, male, NA, stage:1, alive, 990 days 656.0
DO50804 81 years, male, NA, stage:2, alive, 720 days 646.6
DO45217 69 years, female, NA, stage:3, dead, 270 days 637.1
DO50793 76 years, male, NA, stage:4, alive, 540 days 635.7
DO48727 81 years, female, NA, stage:2, dead, 390 days 597.4
DO45131 53 years, male, NA, stage:4, dead, 360 days 595.1
DO23544 67 years, male, NA, stage:2, alive, 960 days 592.0
DO45107 63 years, female, NA, stage:2, alive, 1710 days 590.9
DO23548 78 years, female, NA, stage:1, alive, 840 days 588.6
DO45209 70 years, male, NA, stage:4, alive, 1350 days 587.6
DO23547 74 years, male, NA, stage:1, alive, 1020 days 580.6
DO48733 72 years, male, NA, stage:2, alive, 600 days 561.6
DO50803 62 years, female, NA, stage:1, alive, 540 days 554.7
DO23535 67 years, male, NA, stage:1, alive, 960 days 551.3
DO50778 60 years, male, NA, stage:4, alive, 630 days 545.2
DO45205 67 years, female, NA, stage:2, dead, 90 days 543.0
DO50817 75 years, male, NA, stage:2, alive, 390 days 540.9
DO45109 63 years, male, NA, stage:2, alive, 1590 days 529.4
DO23551 73 years, male, NA, stage:3, dead, 150 days 514.6
DO50816 63 years, male, NA, stage:2, alive, 390 days 447.5
DO23532 71 years, female, NA, stage:1, alive, 960 days 427.5
DO50845 72 years, male, NA, stage:3, alive, 210 days 424.2
DO45155 69 years, male, NA, stage:2, alive, 2160 days 416.2
DO48757 68 years, female, NA, stage:3, alive, 480 days 389.8
DO23540 73 years, male, NA, stage:1, alive, 750 days 375.1
DO23511 83 years, female, NA, stage:3, dead, 180 days 251.8
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LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples 330
Samples
Sample ID Sample type nRPX
227 Tumor 1.0
1041 Tumor 0.9
484 Normal 0.8
557 Tumor 0.7
944 Normal 0.7
745 Tumor 0.7
698 Normal 0.7
546 Normal 0.7
482 Normal 0.7
915 Tumor 0.7
728 Normal 0.6
1046 Normal 0.6
964 Normal 0.6
926 Normal 0.6
695 Tumor 0.6
534 Normal 0.6
231 Tumor 0.6
462 Normal 0.6
922 Normal 0.6
1014 Normal 0.6
918 Normal 0.6
713 Tumor 0.6
416 Normal 0.6
571 Tumor 0.6
212 Normal 0.6
866 Normal 0.6
472 Normal 0.6
448 Normal 0.6
878 Normal 0.6
514 Normal 0.6
516 Normal 0.6
824 Normal 0.6
1026 Normal 0.5
981 Tumor 0.5
554 Normal 0.5
756 Normal 0.5
356 Normal 0.5
1042 Normal 0.5
696 Normal 0.5
722 Normal 0.5
868 Normal 0.5
1032 Normal 0.5
738 Normal 0.5
867 Tumor 0.5
864 Normal 0.5
128 Normal 0.5
984 Normal 0.5
488 Normal 0.5
912 Normal 0.5
474 Normal 0.5
572 Normal 0.5
714 Normal 0.5
882 Normal 0.5
938 Normal 0.5
477 Tumor 0.5
982 Normal 0.5
564 Normal 0.5
286 Normal 0.5
528 Normal 0.5
328 Normal 0.5
1022 Normal 0.5
723 Tumor 0.5
1028 Normal 0.5
924 Normal 0.5
327 Tumor 0.5
955 Tumor 0.5
914 Normal 0.5
228 Normal 0.4
473 Tumor 0.4
862 Normal 0.4
976 Normal 0.4
411 Tumor 0.4
526 Normal 0.4
786 Normal 0.4
618 Normal 0.4
686 Normal 0.4
436 Normal 0.4
858 Normal 0.4
364 Normal 0.4
958 Normal 0.4
412 Normal 0.4
956 Normal 0.4
818 Normal 0.4
916 Normal 0.4
816 Normal 0.4
952 Normal 0.4
518 Normal 0.4
284 Normal 0.4
466 Normal 0.4
558 Normal 0.4
978 Normal 0.4
1016 Normal 0.4
636 Normal 0.4
261 Tumor 0.3
494 Normal 0.3
778 Normal 0.3
537 Tumor 0.3
746 Normal 0.3
954 Normal 0.3
616 Normal 0.3
127 Tumor 0.3
414 Normal 0.3
142 Normal 0.3
132 Normal 0.3
553 Tumor 0.3
568 Normal 0.3
742 Normal 0.3
478 Normal 0.3
664 Normal 0.3
362 Normal 0.3
1025 Tumor 0.3
483 Tumor 0.3
1044 Normal 0.3
224 Normal 0.2
874 Normal 0.2
685 Tumor 0.2
911 Tumor 0.2
1045 Tumor 0.2
966 Normal 0.2
628 Normal 0.2
642 Normal 0.2
524 Normal 0.2
432 Normal 0.2
298 Normal 0.2
434 Normal 0.2
196 Normal 0.2
214 Normal 0.2
114 Normal 0.2
148 Normal 0.2
424 Normal 0.2
111 Normal 0.2
278 Normal 0.2
113 Tumor 0.2
716 Normal 0.2
648 Normal 0.1
538 Normal 0.1
861 Tumor 0.1
171 Tumor 0.1
422 Normal 0.1
126 Normal 0.1
423 Tumor 0.1
641 Tumor 0.1
172 Normal 0.1
272 Normal 0.1
957 Tumor 0.1
426 Normal 0.1
884 Normal 0.1
968 Normal 0.1
715 Tumor 0.1
232 Normal 0.1
852 Normal 0.1
937 Tumor 0.1
428 Normal 0.1
662 Normal 0.1
446 Normal 0.1
376 Normal 0.1
574 Normal 0.1
358 Normal 0.1
492 Normal 0.1
525 Tumor 0.1
258 Normal 0.1
262 Normal 0.0
344 Normal 0.0
755 Tumor 0.0
923 Tumor 0.0
741 Tumor 0.0
136 Normal 0.0
498 Normal 0.0
1015 Tumor 0.0
744 Normal 0.0
666 Normal 0.0
617 Tumor 0.0
342 Normal 0.0
513 Tumor 0.0
314 Normal 0.0
481 Tumor 0.0
223 Tumor 0.0
663 Tumor 0.0
491 Tumor 0.0
431 Tumor -0.1
138 Normal -0.1
953 Tumor -0.1
162 Normal -0.1
464 Normal -0.1
1013 Tumor -0.1
1031 Tumor -0.1
433 Tumor -0.1
366 Normal -0.1
823 Tumor -0.1
341 Tumor -0.1
857 Tumor -0.1
865 Tumor -0.1
493 Tumor -0.1
146 Normal -0.1
188 Normal -0.1
352 Normal -0.1
647 Tumor -0.1
672 Normal -0.1
285 Tumor -0.1
186 Normal -0.1
268 Normal -0.1
392 Normal -0.1
222 Normal -0.1
471 Tumor -0.1
444 Normal -0.1
384 Normal -0.2
468 Normal -0.2
873 Tumor -0.2
435 Tumor -0.2
456 Normal -0.2
257 Tumor -0.2
697 Tumor -0.2
393 Tumor -0.2
112 Tumor -0.2
361 Tumor -0.2
536 Normal -0.2
396 Normal -0.2
977 Tumor -0.2
218 Normal -0.2
363 Tumor -0.3
487 Tumor -0.3
394 Normal -0.3
523 Tumor -0.3
777 Tumor -0.3
533 Tumor -0.3
951 Tumor -0.3
388 Normal -0.3
354 Normal -0.3
386 Normal -0.3
913 Tumor -0.3
332 Normal -0.3
817 Tumor -0.3
124 Normal -0.3
881 Tumor -0.3
192 Normal -0.3
785 Tumor -0.3
461 Tumor -0.3
415 Tumor -0.3
191 Tumor -0.3
465 Tumor -0.3
451 Tumor -0.3
975 Tumor -0.3
517 Tumor -0.3
145 Tumor -0.3
497 Tumor -0.4
452 Normal -0.4
743 Tumor -0.4
147 Tumor -0.4
267 Tumor -0.4
851 Tumor -0.4
727 Tumor -0.4
447 Tumor -0.4
312 Normal -0.4
353 Tumor -0.4
427 Tumor -0.4
137 Tumor -0.4
187 Tumor -0.4
665 Tumor -0.4
963 Tumor -0.4
221 Tumor -0.5
635 Tumor -0.5
123 Tumor -0.5
814 Normal -0.5
355 Tumor -0.5
413 Tumor -0.5
195 Tumor -0.5
671 Tumor -0.5
863 Tumor -0.5
573 Tumor -0.5
467 Tumor -0.5
161 Tumor -0.5
883 Tumor -0.5
1043 Tumor -0.5
211 Tumor -0.5
943 Tumor -0.5
135 Tumor -0.5
545 Tumor -0.5
217 Tumor -0.5
983 Tumor -0.5
925 Tumor -0.5
967 Tumor -0.6
615 Tumor -0.6
125 Tumor -0.6
563 Tumor -0.6
185 Tumor -0.6
357 Tumor -0.6
661 Tumor -0.6
1027 Tumor -0.6
815 Tumor -0.6
1021 Tumor -0.6
365 Tumor -0.6
527 Tumor -0.6
375 Tumor -0.6
367 Tumor -0.6
131 Tumor -0.6
383 Tumor -0.6
311 Tumor -0.6
965 Tumor -0.7
721 Tumor -0.7
271 Tumor -0.7
213 Tumor -0.7
351 Tumor -0.7
368 Normal -0.7
877 Tumor -0.7
567 Tumor -0.7
813 Tumor -0.7
627 Tumor -0.7
277 Tumor -0.7
737 Tumor -0.7
141 Tumor -0.7
917 Tumor -0.7
343 Tumor -0.7
425 Tumor -0.7
283 Tumor -0.8
535 Tumor -0.8
421 Tumor -0.8
515 Tumor -0.8
313 Tumor -0.9
387 Tumor -0.9
724 Normal -0.9
443 Tumor -1.0
297 Tumor -1.0
395 Tumor -1.1
331 Tumor -1.1
463 Tumor -1.1
921 Tumor -1.1
385 Tumor -1.1
455 Tumor -1.2
445 Tumor -1.3
391 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 HPA046647
 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
Carcinoma, Hepatocellular, NOS
Cholangiocarcinoma

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