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  • NME2
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.

NME2 is validated prognostic, high expression is unfavorable 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.

: 665.09
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 678.1
Number of samples 362
Samples
Sample Description pTPM
TCGA-G3-A25X-01A 73 years, male, asian, stage:Stage II, alive, 1779 days 2736.4
TCGA-DD-AAD5-01A 54 years, male, asian, stage:Stage I, alive, 1345 days 2248.1
TCGA-G3-A25T-01A 45 years, female, white, stage:Stage IIIA, alive, 1553 days 2166.6
TCGA-BC-A69H-01A 64 years, male, white, stage:Stage II, alive, 444 days 2080.5
TCGA-FV-A4ZP-01A 78 years, male, white, stage:Stage IIIA, dead, 2486 days 2078.2
TCGA-DD-AA3A-01A 81 years, female, white, stage:Stage I, dead, 410 days 1977.2
TCGA-DD-A3A7-01A 67 years, male, stage:Stage IIIB, dead, 419 days 1896.2
TCGA-DD-AACJ-01A 75 years, male, asian, stage:Stage II, alive, 2102 days 1873.7
TCGA-ED-A7PX-01A 48 years, female, asian, stage:Stage II, alive, 6 days 1761.4
TCGA-CC-A123-01A 24 years, female, asian, stage:Stage IIIA, alive, 219 days 1757.4
TCGA-G3-A25S-01A 64 years, male, white, stage:Stage I, dead, 416 days 1750.9
TCGA-CC-5260-01A 61 years, female, asian, stage:Stage IIIC, dead, 87 days 1725.4
TCGA-CC-A3M9-01A 45 years, male, asian, stage:Stage IIIA, dead, 300 days 1669.9
TCGA-BC-A10Q-01A 72 years, female, white, stage:'--, dead, 1135 days 1660.1
TCGA-CC-A3MA-01A 61 years, male, asian, stage:Stage IIIA, dead, 303 days 1650.6
TCGA-BC-A112-01A 80 years, male, white, stage:'--, dead, 153 days 1606.2
TCGA-DD-A39Y-01A 67 years, male, asian, stage:Stage I, dead, 171 days 1536.0
TCGA-MI-A75I-01A 61 years, male, black or african american, stage:'--, alive, 630 days 1511.3
TCGA-G3-AAV5-01A 67 years, male, white, stage:Stage II, alive, 354 days 1478.4
TCGA-CC-A1HT-01A 50 years, male, asian, stage:Stage IIIA, dead, 101 days 1453.0
TCGA-CC-A7II-01A 54 years, male, asian, stage:Stage IIIA, alive, 399 days 1435.8
TCGA-ED-A82E-01A 60 years, female, asian, stage:Stage IIIA, alive, 408 days 1429.1
TCGA-DD-AAVU-01A 46 years, male, asian, stage:Stage II, alive, 2202 days 1417.1
TCGA-ZP-A9D2-01A 51 years, male, white, stage:'--, dead, 765 days 1401.8
TCGA-DD-A3A3-01A 45 years, male, asian, stage:Stage I, dead, 535 days 1372.0
TCGA-CC-A7IG-01A 47 years, male, asian, stage:Stage II, dead, 299 days 1366.5
TCGA-DD-AAE0-01A 45 years, female, asian, stage:Stage IIIA, alive, 555 days 1333.0
TCGA-WQ-A9G7-01A 71 years, female, white, stage:'--, alive, 30 days 1270.8
TCGA-CC-A7IL-01A 61 years, male, asian, stage:Stage IIIA, dead, 278 days 1270.8
TCGA-DD-AACA-01A 65 years, male, asian, stage:Stage I, alive, 2301 days 1254.8
TCGA-DD-AACL-01A 66 years, female, asian, stage:Stage I, dead, 107 days 1242.0
TCGA-DD-A3A9-01A 64 years, female, white, stage:Stage IVB, dead, 931 days 1241.0
TCGA-BC-A10Y-01A 76 years, male, white, stage:'--, dead, 711 days 1199.6
TCGA-DD-A3A6-01A 72 years, female, white, stage:Stage II, dead, 3258 days 1192.3
TCGA-2Y-A9H2-01A 64 years, female, white, stage:Stage I, alive, 1731 days 1189.7
TCGA-G3-A5SJ-01A 59 years, male, white, stage:Stage I, alive, 698 days 1186.8
TCGA-DD-A39X-01A 78 years, female, white, stage:Stage I, dead, 1694 days 1152.1
TCGA-EP-A2KC-01A 62 years, male, black or african american, stage:Stage I, dead, 19 days 1151.8
TCGA-UB-A7MA-01A 62 years, female, white, stage:Stage II, alive, 848 days 1107.5
TCGA-DD-AAC8-01A 72 years, male, asian, stage:Stage I, dead, 16 days 1098.0
TCGA-DD-A39V-01A 77 years, male, white, stage:Stage II, dead, 643 days 1084.2
TCGA-DD-AACG-01A 52 years, male, asian, stage:Stage II, dead, 469 days 1081.7
TCGA-FV-A3I0-01A 76 years, female, white, stage:Stage II, alive, 848 days 1078.7
TCGA-DD-AADO-01A 55 years, male, asian, stage:Stage I, alive, 453 days 1067.0
TCGA-RC-A6M6-01A 75 years, male, white, stage:Stage II, alive, 9 days 1065.4
TCGA-DD-AACP-01A 64 years, male, asian, stage:Stage I, alive, 415 days 1063.0
TCGA-G3-AAV6-01A 53 years, female, white, stage:Stage IIIA, dead, 65 days 1037.3
TCGA-DD-AACX-01A 66 years, male, asian, stage:Stage II, alive, 170 days 1032.7
TCGA-5C-A9VG-01A 58 years, male, white, stage:Stage II, alive, 328 days 1029.7
TCGA-DD-A39Z-01A 43 years, female, stage:Stage II, dead, 601 days 1022.8
TCGA-CC-A5UD-01A 45 years, male, asian, stage:Stage IIIA, dead, 304 days 1017.4
TCGA-CC-A7IJ-01A 56 years, male, asian, stage:Stage II, alive, 382 days 1004.7
TCGA-DD-A1EL-01A 23 years, male, black or african american, stage:Stage II, dead, 415 days 998.8
TCGA-DD-AADN-01A 59 years, male, asian, stage:Stage I, alive, 898 days 988.8
TCGA-CC-5263-01A 35 years, male, asian, stage:Stage IIIA, dead, 129 days 977.1
TCGA-DD-A73G-01A 73 years, female, white, stage:Stage I, alive, 3478 days 974.1
TCGA-DD-AAEE-01A 55 years, male, asian, stage:Stage I, alive, 810 days 972.7
TCGA-ES-A2HS-01A 80 years, male, white, stage:Stage I, dead, 688 days 970.9
TCGA-CC-A5UE-01A 48 years, male, asian, stage:Stage IIIB, dead, 272 days 959.7
TCGA-BC-A10W-01A 50 years, male, asian, stage:'--, dead, 91 days 956.6
TCGA-CC-5262-01A 67 years, male, asian, stage:Stage IIIC, dead, 103 days 955.3
TCGA-DD-AADI-01A 43 years, female, asian, stage:Stage I, alive, 1085 days 950.5
TCGA-CC-A7IF-01A 59 years, male, asian, stage:Stage IIIA, dead, 649 days 945.4
TCGA-G3-A25Y-01A 52 years, female, asian, stage:Stage I, dead, 452 days 944.4
TCGA-CC-A5UC-01A 63 years, male, asian, stage:Stage IIIA, dead, 347 days 931.7
TCGA-CC-A7IE-01A 57 years, male, asian, stage:Stage IIIA, dead, 217 days 930.2
TCGA-2Y-A9H0-01A 49 years, male, white, stage:Stage IIIA, alive, 3675 days 928.0
TCGA-ED-A8O6-01A 50 years, female, asian, stage:Stage IIIA, dead, 56 days 922.1
TCGA-DD-A4NA-01A 67 years, female, white, stage:Stage IIIC, alive, 1008 days 921.9
TCGA-RC-A7SH-01A 42 years, male, asian, stage:Stage II, alive, 468 days 911.5
TCGA-DD-AADW-01A 48 years, male, asian, stage:Stage I, alive, 587 days 910.6
TCGA-BC-A10T-01A 76 years, male, white, stage:'--, dead, 837 days 895.6
TCGA-G3-A25Z-01A 58 years, male, asian, stage:Stage I, alive, 655 days 891.9
TCGA-KR-A7K7-01A 61 years, female, white, stage:Stage II, alive, 951 days 891.7
TCGA-GJ-A3OU-01A 59 years, male, white, stage:Stage I, alive, 879 days 890.5
TCGA-DD-A116-01A 68 years, male, asian, stage:Stage IIIA, dead, 1622 days 890.4
TCGA-G3-AAV7-01A 38 years, male, asian, stage:Stage II, alive, 361 days 881.1
TCGA-DD-AADR-01A 58 years, male, asian, stage:Stage I, alive, 2028 days 877.5
TCGA-DD-A114-01A 42 years, male, black or african american, stage:Stage II, dead, 1149 days 876.1
TCGA-UB-A7MD-01A 67 years, male, black or african american, stage:Stage I, dead, 52 days 874.7
TCGA-G3-A25U-01A 63 years, female, asian, stage:Stage I, alive, 1636 days 871.2
TCGA-FV-A2QR-01A 75 years, male, white, stage:Stage I, dead, 581 days 867.7
TCGA-DD-A73D-01A 68 years, female, white, stage:Stage II, alive, 693 days 860.5
TCGA-EP-A3RK-01A 73 years, male, white, stage:Stage IIIA, alive, 363 days 855.8
TCGA-DD-AAVP-01A 48 years, male, asian, stage:Stage I, alive, 2752 days 849.8
TCGA-DD-AACI-01A 69 years, male, asian, stage:Stage II, alive, 1618 days 846.9
TCGA-BC-A10U-01A 69 years, male, white, stage:'--, dead, 837 days 833.8
TCGA-DD-A1EJ-01A 71 years, female, white, stage:Stage IIIC, dead, 1005 days 827.5
TCGA-ED-A459-01A 47 years, male, asian, stage:Stage II, alive, 910 days 823.8
TCGA-G3-A7M6-01A 60 years, female, white, stage:Stage I, alive, 632 days 819.5
TCGA-ED-A66X-01A 35 years, male, asian, stage:Stage IIIA, alive, 406 days 814.7
TCGA-CC-A8HV-01A 51 years, female, asian, stage:Stage II, dead, 279 days 810.4
TCGA-DD-AACD-01A 48 years, male, asian, stage:Stage I, dead, 381 days 808.0
TCGA-DD-AADM-01A 58 years, male, asian, stage:Stage II, dead, 12 days 805.9
TCGA-CC-5259-01A 60 years, female, asian, stage:Stage IIIC, alive, 250 days 803.5
TCGA-DD-A4NQ-01A 60 years, male, white, stage:Stage II, dead, 373 days 803.4
TCGA-G3-A3CK-01A 61 years, male, asian, stage:Stage I, alive, 585 days 792.5
TCGA-YA-A8S7-01A 68 years, male, white, stage:Stage IIIA, dead, 412 days 790.7
TCGA-DD-AADB-01A 51 years, male, asian, stage:Stage I, alive, 1242 days 788.8
TCGA-MI-A75H-01A 77 years, male, white, stage:'--, alive, 747 days 786.7
TCGA-ED-A97K-01A 54 years, male, asian, stage:Stage IIIA, alive, 6 days 781.4
TCGA-DD-A4NH-01A 65 years, female, white, stage:Stage IIIB, alive, 917 days 779.8
TCGA-G3-A3CJ-01A 52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days 775.6
TCGA-O8-A75V-01A 54 years, male, stage:Stage I, alive, 538 days 774.2
TCGA-DD-AADU-01A 60 years, male, asian, stage:Stage II, alive, 554 days 773.6
TCGA-G3-A7M9-01A 70 years, male, white, stage:Stage IIIB, dead, 56 days 773.3
TCGA-DD-A1EI-01A 46 years, male, asian, stage:Stage I, alive, 183 days 772.8
TCGA-FV-A3R2-01A 75 years, male, white, stage:Stage I, dead, 194 days 766.0
TCGA-CC-A3MC-01A 54 years, male, asian, stage:Stage IIIA, alive, 363 days 762.9
TCGA-DD-A119-01A 40 years, male, asian, stage:Stage IV, dead, 223 days 760.9
TCGA-DD-AAD6-01A 66 years, male, asian, stage:Stage IIIA, alive, 672 days 756.4
TCGA-DD-A115-01A 53 years, male, white, stage:Stage IIIA, dead, 2542 days 754.2
TCGA-DD-AADG-01A 70 years, male, asian, stage:Stage IIIA, alive, 1145 days 752.0
TCGA-DD-A1EC-01A 20 years, female, white, stage:Stage I, alive, 602 days 747.5
TCGA-RC-A7SB-01A 53 years, male, asian, stage:Stage II, alive, 588 days 746.6
TCGA-2Y-A9GY-01A 64 years, female, white, stage:Stage II, dead, 757 days 744.6
TCGA-ZS-A9CG-01A 55 years, male, white, stage:Stage II, alive, 341 days 744.0
TCGA-DD-AAEG-01A 59 years, female, asian, stage:Stage I, alive, 719 days 741.3
TCGA-CC-A3MB-01A 36 years, male, asian, stage:Stage IIIA, dead, 315 days 741.1
TCGA-DD-A4NJ-01A 54 years, female, white, stage:Stage II, alive, 928 days 738.4
TCGA-G3-A5SL-01A 70 years, male, white, stage:Stage II, alive, 621 days 738.4
TCGA-ED-A7PZ-01A 61 years, male, asian, stage:Stage II, alive, 6 days 735.6
TCGA-DD-AAVV-01A 56 years, male, asian, stage:Stage II, alive, 2455 days 732.3
TCGA-G3-AAUZ-01A 48 years, male, stage:Stage I, alive, 480 days 731.4
TCGA-BC-A217-01A 75 years, female, white, stage:Stage II, dead, 1397 days 731.1
TCGA-CC-A7IK-01A 59 years, male, asian, stage:Stage IIIA, dead, 262 days 726.6
TCGA-K7-AAU7-01A 61 years, male, white, stage:Stage II, alive, 359 days 721.7
TCGA-MI-A75G-01A 63 years, male, white, stage:Stage II, alive, 698 days 715.7
TCGA-NI-A4U2-01A 71 years, male, white, stage:Stage IIIA, dead, 1791 days 715.1
TCGA-CC-A8HS-01A 18 years, male, asian, stage:Stage IIIC, dead, 300 days 710.3
TCGA-2Y-A9GS-01A 58 years, male, white, stage:'--, dead, 724 days 701.8
TCGA-CC-A8HT-01A 74 years, male, asian, stage:Stage IIIA, dead, 140 days 700.7
TCGA-RC-A7SK-01A 59 years, male, asian, stage:Stage I, alive, 472 days 700.5
TCGA-DD-A1EH-01A 23 years, male, white, stage:Stage III, alive, 1495 days 698.0
TCGA-FV-A495-01A 51 years, female, white, stage:Stage II, alive, 1 days 695.9
TCGA-2Y-A9H3-01A 45 years, male, white, stage:Stage II, alive, 1516 days 686.6
TCGA-DD-A4NR-01A 85 years, female, white, stage:Stage I, dead, 9 days 681.0
TCGA-WX-AA47-01A 33 years, female, white, stage:Stage IIIA, dead, 556 days 671.3
TCGA-DD-A3A1-01A 65 years, male, stage:Stage IIIA, dead, 233 days 665.1
TCGA-DD-AAE9-01A 69 years, male, asian, stage:Stage I, alive, 722 days 664.9
TCGA-RG-A7D4-01A 69 years, male, black or african american, stage:Stage II, alive, 1098 days 664.2
TCGA-XR-A8TF-01A 74 years, male, white, stage:Stage I, dead, 693 days 663.9
TCGA-DD-AACB-01A 74 years, female, asian, stage:Stage I, alive, 2324 days 661.2
TCGA-BW-A5NO-01A 50 years, male, black or african american, stage:Stage IIIA, alive, 20 days 660.2
TCGA-CC-A9FW-01A 68 years, male, asian, stage:Stage IIIA, alive, 248 days 658.6
TCGA-DD-A73E-01A 66 years, male, white, stage:Stage I, alive, 44 days 657.9
TCGA-CC-5261-01A 44 years, male, asian, stage:Stage II, dead, 97 days 657.3
TCGA-DD-A118-01A 77 years, female, white, stage:Stage II, alive, 3437 days 648.4
TCGA-MI-A75C-01A 64 years, male, white, stage:Stage I, alive, 291 days 644.0
TCGA-MI-A75E-01A 61 years, male, white, stage:Stage IIIC, alive, 507 days 641.7
TCGA-G3-A7M7-01A 65 years, male, white, stage:Stage I, alive, 361 days 640.4
TCGA-EP-A2KB-01A 46 years, female, white, stage:Stage I, dead, 596 days 639.0
TCGA-DD-AAVR-01A 44 years, male, asian, stage:Stage I, alive, 2513 days 635.4
TCGA-FV-A2QQ-01A 80 years, male, white, stage:Stage I, alive, 729 days 631.2
TCGA-DD-AADK-01A 68 years, female, asian, stage:Stage II, alive, 1049 days 626.3
TCGA-2Y-A9H9-01A 70 years, male, white, stage:Stage I, alive, 697 days 625.5
TCGA-DD-AAED-01A 51 years, male, asian, stage:Stage I, alive, 763 days 621.4
TCGA-FV-A496-01A 84 years, female, white, stage:Stage I, alive, 10 days 620.9
TCGA-G3-A25V-01A 68 years, male, white, stage:Stage I, alive, 860 days 619.7
TCGA-UB-A7MF-01A 56 years, male, white, stage:Stage IIIA, dead, 214 days 618.6
TCGA-T1-A6J8-01A 68 years, male, white, stage:'--, alive, 23 days 617.7
TCGA-5C-AAPD-01A 61 years, male, asian, stage:Stage II, alive, 20 days 616.8
TCGA-WX-AA44-01A 64 years, female, white, stage:Stage I, alive, 615 days 612.5
TCGA-K7-A6G5-01A 66 years, male, white, stage:Stage I, alive, 512 days 611.6
TCGA-DD-A1EG-01A 76 years, male, white, stage:Stage I, dead, 1372 days 606.1
TCGA-PD-A5DF-01A 58 years, female, white, stage:Stage IIIB, dead, 639 days 603.4
TCGA-DD-AACK-01A 70 years, male, asian, stage:Stage I, alive, 9 days 602.4
TCGA-FV-A3I1-01A 81 years, female, white, stage:Stage II, dead, 247 days 602.3
TCGA-DD-AACU-01A 59 years, male, asian, stage:Stage I, alive, 1567 days 601.7
TCGA-ED-A5KG-01A 60 years, female, asian, stage:Stage II, alive, 854 days 601.0
TCGA-DD-A1EE-01A 73 years, male, white, stage:Stage IIIA, dead, 349 days 599.5
TCGA-ZP-A9CZ-01A 72 years, male, asian, stage:'--, alive, 706 days 597.8
TCGA-DD-AADY-01A 55 years, female, asian, stage:Stage I, alive, 555 days 589.4
TCGA-G3-AAV4-01A 83 years, female, white, stage:Stage I, dead, 27 days 588.8
TCGA-BD-A3EP-01A 75 years, female, black or african american, stage:Stage I, alive, 409 days 588.7
TCGA-DD-AACZ-01A 63 years, female, asian, stage:Stage I, dead, 171 days 579.4
TCGA-CC-A9FS-01A 55 years, male, asian, stage:Stage II, alive, 211 days 579.1
TCGA-DD-AACF-01A 68 years, male, asian, stage:Stage I, dead, 365 days 578.5
TCGA-DD-AACO-01A 40 years, male, asian, stage:Stage I, alive, 1876 days 577.9
TCGA-DD-AAW3-01A 69 years, male, asian, stage:Stage I, alive, 1633 days 574.6
TCGA-2Y-A9H1-01A 58 years, male, white, stage:Stage I, dead, 1229 days 574.2
TCGA-RC-A7S9-01A 47 years, female, asian, stage:Stage I, alive, 640 days 568.4
TCGA-DD-AAVS-01A 56 years, male, asian, stage:Stage I, alive, 1823 days 567.8
TCGA-ZS-A9CD-01A 73 years, male, white, stage:Stage II, dead, 1386 days 565.1
TCGA-UB-A7MB-01A 24 years, male, white, stage:Stage II, alive, 601 days 564.9
TCGA-DD-AADL-01A 58 years, male, asian, stage:Stage I, alive, 636 days 559.6
TCGA-DD-AADP-01A 45 years, male, asian, stage:Stage I, alive, 458 days 558.6
TCGA-XR-A8TD-01A 49 years, female, white, stage:Stage IIIB, alive, 1030 days 556.7
TCGA-DD-A4NS-01A 61 years, female, white, stage:Stage I, dead, 2456 days 551.0
TCGA-DD-AACH-01A 69 years, male, asian, stage:Stage II, dead, 195 days 550.1
TCGA-BC-A69I-01A 69 years, male, white, stage:Stage I, alive, 387 days 547.9
TCGA-DD-AAEI-01A 72 years, male, asian, stage:Stage I, alive, 1531 days 546.7
TCGA-BC-A10S-01A 81 years, male, white, stage:'--, dead, 1423 days 545.4
TCGA-DD-AACE-01A 62 years, male, asian, stage:Stage I, alive, 2184 days 542.6
TCGA-KR-A7K0-01A 65 years, male, white, stage:Stage I, dead, 65 days 541.6
TCGA-EP-A2KA-01A 52 years, female, white, stage:Stage IIIA, dead, 627 days 538.0
TCGA-MR-A8JO-01A 34 years, male, white, stage:Stage I, alive, 330 days 535.3
TCGA-DD-AADJ-01A 70 years, female, asian, stage:Stage I, alive, 1066 days 533.8
TCGA-3K-AAZ8-01A 65 years, male, black or african american, stage:Stage IIIB, alive, 396 days 533.6
TCGA-CC-A8HU-01A 39 years, female, asian, stage:Stage IIIA, dead, 344 days 532.8
TCGA-DD-AAW0-01A 54 years, male, asian, stage:Stage I, alive, 2015 days 531.8
TCGA-G3-A5SM-01A 58 years, male, white, stage:Stage II, alive, 520 days 528.2
TCGA-RC-A6M4-01A 74 years, female, white, stage:Stage IIIA, alive, 22 days 528.1
TCGA-DD-AAVQ-01A 38 years, male, asian, stage:Stage I, alive, 2728 days 526.5
TCGA-FV-A4ZQ-01A 52 years, male, white, stage:Stage I, alive, 12 days 526.1
TCGA-5R-AA1C-01A 57 years, male, white, stage:Stage II, alive, 520 days 525.6
TCGA-CC-5264-01A 71 years, male, asian, stage:Stage IIIA, dead, 102 days 525.5
TCGA-5C-A9VH-01A 70 years, male, white, stage:Stage I, alive, 322 days 524.5
TCGA-DD-A4NV-01A 61 years, male, white, stage:Stage IIIA, alive, 2398 days 521.3
TCGA-DD-AAVY-01A 56 years, male, asian, stage:Stage IIIA, alive, 1970 days 521.1
TCGA-DD-AACN-01A 32 years, male, asian, stage:Stage I, alive, 1302 days 518.5
TCGA-DD-A4NP-01A 32 years, male, white, stage:Stage I, alive, 3308 days 516.9
TCGA-DD-AAVZ-01A 38 years, male, asian, stage:Stage I, alive, 1900 days 510.1
TCGA-DD-AADQ-01A 59 years, male, asian, stage:Stage II, alive, 436 days 510.0
TCGA-DD-AACY-01A 61 years, male, asian, stage:Stage I, alive, 1450 days 509.4
TCGA-DD-AAD1-01A 51 years, female, asian, stage:Stage I, alive, 564 days 509.2
TCGA-DD-AAVX-01A 38 years, male, asian, stage:Stage II, alive, 1718 days 506.5
TCGA-DD-AADF-01A 64 years, female, asian, stage:Stage I, dead, 115 days 505.9
TCGA-DD-AADC-01A 53 years, male, asian, stage:Stage I, dead, 425 days 505.4
TCGA-LG-A9QC-01A 48 years, male, white, stage:Stage I, alive, 425 days 505.1
TCGA-DD-A1EA-01A 68 years, male, asian, stage:Stage II, alive, 2415 days 502.2
TCGA-DD-AAD2-01A 66 years, male, asian, stage:Stage I, alive, 658 days 502.0
TCGA-EP-A3JL-01A 76 years, male, white, stage:Stage I, alive, 303 days 501.1
TCGA-DD-A3A8-01A 75 years, male, white, stage:Stage II, dead, 11 days 498.9
TCGA-DD-A4NO-01A 65 years, male, white, stage:Stage I, alive, 2245 days 498.6
TCGA-WQ-AB4B-01A 62 years, male, white, stage:Stage II, alive, 395 days 491.3
TCGA-EP-A12J-01A 62 years, male, black or african american, stage:Stage I, alive, 570 days 488.9
TCGA-2Y-A9H7-01A 81 years, female, white, stage:Stage I, alive, 1168 days 488.3
TCGA-5R-AAAM-01A 65 years, female, white, stage:Stage II, dead, 46 days 488.0
TCGA-KR-A7K8-01A 57 years, male, stage:Stage I, alive, 906 days 487.5
TCGA-EP-A26S-01A 70 years, male, white, stage:Stage I, alive, 608 days 487.4
TCGA-ZP-A9D4-01A 64 years, female, white, stage:'--, alive, 395 days 485.5
TCGA-ES-A2HT-01A 54 years, male, black or african american, stage:Stage I, dead, 438 days 485.2
TCGA-ED-A7XP-01A 53 years, female, asian, stage:Stage II, alive, 400 days 479.7
TCGA-WJ-A86L-01A 68 years, female, white, stage:Stage I, alive, 345 days 478.6
TCGA-HP-A5N0-01A 90 years, female, stage:'--, dead, 752 days 476.1
TCGA-UB-A7ME-01A 51 years, male, asian, stage:Stage I, alive, 486 days 474.7
TCGA-DD-AACQ-01A 50 years, male, asian, stage:Stage II, dead, 432 days 473.9
TCGA-DD-A3A4-01A 37 years, male, white, stage:Stage IIIA, dead, 612 days 472.6
TCGA-G3-AAV1-01A 51 years, male, asian, stage:Stage IIIC, dead, 359 days 471.4
TCGA-DD-A73C-01A 65 years, female, white, stage:Stage IIIA, alive, 701 days 468.8
TCGA-G3-A3CH-01A 53 years, male, asian, stage:Stage IIIA, alive, 780 days 468.2
TCGA-G3-AAV0-01A 58 years, male, asian, stage:Stage I, alive, 476 days 467.0
TCGA-ED-A7XO-01A 29 years, male, asian, stage:Stage IIIA, alive, 427 days 465.9
TCGA-DD-A113-01A 55 years, female, white, stage:Stage II, alive, 2425 days 461.0
TCGA-DD-AAW1-01A 55 years, male, asian, stage:Stage IIIA, alive, 1989 days 461.0
TCGA-DD-AADA-01A 66 years, female, asian, stage:Stage I, alive, 1233 days 459.2
TCGA-DD-A4NN-01A 56 years, female, white, stage:Stage I, dead, 899 days 455.0
TCGA-FV-A23B-01A 70 years, female, white, stage:Stage II, dead, 1852 days 452.7
TCGA-DD-AAD8-01A 73 years, female, asian, stage:Stage I, alive, 1219 days 450.7
TCGA-UB-AA0U-01A 60 years, male, white, stage:Stage II, alive, 327 days 450.2
TCGA-DD-AAD3-01A 43 years, male, asian, stage:Stage I, alive, 1295 days 448.6
TCGA-DD-AACT-01A 69 years, female, asian, stage:Stage I, alive, 1562 days 446.2
TCGA-G3-A7M5-01A 76 years, male, asian, stage:Stage I, alive, 447 days 446.0
TCGA-5R-AA1D-01A 17 years, female, white, stage:Stage IIIA, alive, 449 days 445.1
TCGA-G3-A5SI-01A 44 years, male, asian, stage:Stage II, dead, 768 days 443.5
TCGA-DD-AADD-01A 51 years, male, asian, stage:Stage I, alive, 1231 days 441.9
TCGA-XR-A8TC-01A 43 years, female, white, stage:Stage I, alive, 1339 days 438.7
TCGA-DD-AAC9-01A 51 years, male, asian, stage:Stage I, alive, 347 days 436.9
TCGA-DD-AAVW-01A 35 years, male, asian, stage:Stage I, alive, 2317 days 435.8
TCGA-DD-A4NB-01A 25 years, male, white, stage:Stage I, alive, 989 days 435.7
TCGA-ED-A627-01A 74 years, male, white, stage:Stage I, alive, 423 days 435.2
TCGA-FV-A3R3-01A 38 years, female, white, stage:Stage I, dead, 366 days 435.0
TCGA-DD-AACC-01A 61 years, male, asian, stage:Stage I, dead, 1685 days 432.3
TCGA-ZP-A9D1-01A 56 years, female, white, stage:'--, alive, 21 days 431.1
TCGA-BC-A8YO-01A 66 years, female, white, stage:Stage IIIC, alive, 562 days 428.6
TCGA-DD-A4NG-01A 77 years, male, white, stage:Stage IIIA, dead, 802 days 427.6
TCGA-UB-A7MC-01A 59 years, male, white, stage:Stage IIIA, alive, 500 days 427.1
TCGA-ZS-A9CE-01A 79 years, female, white, stage:Stage II, alive, 1241 days 426.8
TCGA-HP-A5MZ-01A 78 years, male, stage:Stage I, dead, 91 days 422.7
TCGA-G3-AAV3-01A 58 years, female, white, stage:Stage II, alive, 412 days 422.0
TCGA-ZP-A9D0-01A 67 years, female, black or african american, stage:'--, alive, 1091 days 421.4
TCGA-G3-AAV2-01A 50 years, male, white, stage:Stage I, alive, 372 days 420.5
TCGA-DD-A1EF-01A 57 years, female, white, stage:Stage I, dead, 394 days 420.2
TCGA-DD-AADV-01A 50 years, male, asian, stage:Stage I, alive, 574 days 419.5
TCGA-2Y-A9HB-01A 66 years, male, stage:Stage I, alive, 260 days 419.1
TCGA-DD-AAEK-01A 51 years, male, asian, stage:Stage II, alive, 1067 days 418.9
TCGA-LG-A9QD-01A 68 years, male, white, stage:Stage IIIA, alive, 366 days 417.1
TCGA-QA-A7B7-01A 48 years, male, black or african american, stage:Stage II, alive, 94 days 416.3
TCGA-ED-A8O5-01A 59 years, female, asian, stage:Stage IIIA, alive, 406 days 415.9
TCGA-DD-A1EK-01A 64 years, female, white, stage:Stage IVB, dead, 558 days 407.1
TCGA-GJ-A9DB-01A 68 years, male, white, stage:Stage I, dead, 67 days 405.6
TCGA-2Y-A9H6-01A 68 years, female, white, stage:Stage I, alive, 357 days 405.3
TCGA-4R-AA8I-01A 66 years, male, white, stage:Stage II, dead, 262 days 404.5
TCGA-BC-A5W4-01A 69 years, male, white, stage:Stage IIIA, dead, 547 days 404.4
TCGA-DD-A3A2-01A 76 years, female, white, stage:Stage I, dead, 2131 days 403.8
TCGA-DD-A73A-01A 71 years, male, white, stage:Stage I, alive, 728 days 397.6
TCGA-ED-A66Y-01A 51 years, female, asian, stage:Stage IIIA, dead, 296 days 395.1
TCGA-DD-A4NE-01A 75 years, female, white, stage:Stage IIIA, dead, 660 days 394.7
TCGA-BC-A3KF-01A 66 years, female, white, stage:Stage I, alive, 8 days 394.7
TCGA-BD-A3ER-01A 62 years, male, white, stage:Stage II, alive, 1115 days 394.1
TCGA-2Y-A9GX-01A 68 years, male, white, stage:Stage I, alive, 2442 days 392.1
TCGA-DD-AAE1-01A 52 years, male, asian, stage:Stage I, alive, 552 days 390.7
TCGA-NI-A8LF-01A 74 years, male, white, stage:Stage I, alive, 799 days 389.6
TCGA-DD-AACS-01A 39 years, male, asian, stage:Stage I, alive, 1804 days 388.7
TCGA-2Y-A9H4-01A 68 years, male, black or african american, stage:Stage I, alive, 1452 days 388.2
TCGA-2Y-A9GW-01A 64 years, male, white, stage:Stage I, dead, 1271 days 387.0
TCGA-DD-A4NF-01A 72 years, male, white, stage:Stage I, alive, 942 days 385.9
TCGA-LG-A6GG-01A 79 years, female, white, stage:Stage II, alive, 387 days 384.6
TCGA-ED-A7PY-01A 20 years, female, asian, stage:Stage II, alive, 390 days 381.6
TCGA-DD-AAEH-01A 73 years, male, asian, stage:Stage I, alive, 784 days 376.2
TCGA-DD-AADS-01A 63 years, male, asian, stage:Stage I, alive, 474 days 375.4
TCGA-DD-A11D-01A 57 years, female, white, stage:Stage I, dead, 1560 days 374.4
TCGA-RC-A6M5-01A 20 years, female, white, stage:Stage IVA, alive, 15 days 372.9
TCGA-GJ-A6C0-01A 75 years, female, white, stage:Stage II, dead, 31 days 371.4
TCGA-DD-AAEB-01A 60 years, male, asian, stage:Stage I, alive, 478 days 369.9
TCGA-DD-AAEA-01A 65 years, male, asian, stage:Stage I, alive, 575 days 367.4
TCGA-G3-A3CG-01A 80 years, male, white, stage:Stage I, alive, 673 days 365.6
TCGA-DD-AAE3-01A 50 years, male, asian, stage:Stage I, alive, 566 days 357.9
TCGA-DD-AAD0-01A 73 years, female, asian, stage:Stage I, alive, 137 days 355.5
TCGA-DD-AAW2-01A 69 years, male, asian, stage:Stage I, alive, 1855 days 354.2
TCGA-ED-A4XI-01A 58 years, male, asian, stage:Stage II, alive, 819 days 351.9
TCGA-2Y-A9HA-01A 70 years, male, white, stage:Stage II, dead, 36 days 350.3
TCGA-RC-A7SF-01A 66 years, male, asian, stage:Stage I, alive, 579 days 348.1
TCGA-DD-AAE4-01A 49 years, female, asian, stage:Stage I, alive, 608 days 347.5
TCGA-ZP-A9CY-01A 66 years, female, white, stage:'--, alive, 782 days 343.6
TCGA-DD-AACW-01A 43 years, male, asian, stage:Stage I, alive, 1424 days 339.8
TCGA-MR-A520-01A 58 years, male, white, stage:Stage I, alive, 229 days 333.7
TCGA-BC-A216-01A 62 years, female, white, stage:Stage IIIA, alive, 1351 days 331.1
TCGA-BC-A110-01A 51 years, female, black or african american, stage:'--, dead, 2116 days 321.5
TCGA-BC-A10R-01A 66 years, female, white, stage:'--, dead, 308 days 320.3
TCGA-CC-5258-01A 48 years, male, asian, stage:Stage II, dead, 129 days 318.9
TCGA-KR-A7K2-01A 64 years, male, white, stage:Stage I, alive, 829 days 317.5
TCGA-G3-A6UC-01A 65 years, male, white, stage:Stage IIIB, alive, 671 days 315.3
TCGA-XR-A8TE-01A 16 years, male, white, stage:Stage IIIA, alive, 925 days 313.7
TCGA-G3-A3CI-01A 71 years, male, white, stage:Stage I, alive, 180 days 313.5
TCGA-ZP-A9CV-01A 59 years, male, white, stage:'--, dead, 1088 days 310.5
TCGA-DD-AAE2-01A 51 years, male, asian, stage:Stage I, alive, 638 days 308.1
TCGA-DD-A4ND-01A 56 years, female, white, stage:Stage I, alive, 2746 days 305.8
TCGA-G3-A5SK-01A 58 years, male, white, stage:Stage I, alive, 744 days 300.0
TCGA-CC-A7IH-01A 58 years, male, asian, stage:Stage IIIA, alive, 365 days 292.3
TCGA-WX-AA46-01A 61 years, male, white, stage:Stage II, alive, 756 days 289.1
TCGA-DD-A1EB-01A 72 years, female, stage:Stage I, alive, 2017 days 287.7
TCGA-2Y-A9GU-01A 55 years, female, white, stage:Stage I, alive, 1939 days 286.6
TCGA-K7-A5RG-01A 66 years, male, black or african american, stage:Stage I, alive, 519 days 284.0
TCGA-BC-A10X-01A 52 years, female, white, stage:Stage IIIA, dead, 770 days 283.9
TCGA-DD-A4NK-01A 80 years, female, white, stage:Stage IIIA, dead, 1210 days 282.9
TCGA-DD-A73F-01A 77 years, female, white, stage:Stage I, alive, 1085 days 281.8
TCGA-XR-A8TG-01A 58 years, male, white, stage:Stage I, alive, 898 days 277.0
TCGA-BC-A10Z-01A 62 years, female, white, stage:Stage I, dead, 34 days 272.3
TCGA-DD-AAE7-01A 72 years, male, asian, stage:Stage I, alive, 644 days 270.9
TCGA-2Y-A9GV-01A 54 years, female, white, stage:Stage I, dead, 2532 days 269.0
TCGA-BD-A2L6-01A 69 years, male, white, stage:'--, alive, 1363 days 265.9
TCGA-2Y-A9H5-01A 59 years, female, white, stage:Stage I, dead, 555 days 263.7
TCGA-K7-A5RF-01A 64 years, male, white, stage:Stage I, alive, 631 days 263.6
TCGA-DD-A11C-01A 69 years, male, white, stage:Stage I, alive, 662 days 249.9
TCGA-DD-AACV-01A 53 years, male, asian, stage:Stage I, alive, 1531 days 249.3
TCGA-G3-A7M8-01A 31 years, male, asian, stage:Stage I, alive, 430 days 246.2
TCGA-DD-A11B-01A 73 years, male, white, stage:Stage I, dead, 14 days 237.5
TCGA-DD-A3A5-01A 66 years, female, white, stage:Stage III, dead, 3125 days 237.4
TCGA-DD-A73B-01A 72 years, female, white, stage:Stage I, dead, 283 days 229.9
TCGA-DD-A1ED-01A 68 years, male, white, stage:Stage I, alive, 2301 days 226.8
TCGA-DD-A4NI-01A 67 years, male, white, stage:Stage II, alive, 816 days 222.3
TCGA-UB-AA0V-01A 69 years, female, white, stage:Stage I, alive, 314 days 218.8
TCGA-2Y-A9GT-01A 51 years, male, white, stage:Stage I, dead, 1624 days 212.1
TCGA-DD-A39W-01A 29 years, female, white, stage:Stage III, dead, 827 days 208.4
TCGA-BC-A3KG-01A 68 years, female, white, stage:Stage II, alive, 680 days 183.3
TCGA-DD-A4NL-01A 46 years, male, white, stage:Stage I, alive, 1711 days 175.6
TCGA-2Y-A9GZ-01A 82 years, female, white, stage:Stage II, dead, 848 days 161.0
TCGA-ZS-A9CF-01A 64 years, male, white, stage:Stage II, alive, 2412 days 155.4
TCGA-DD-AAE6-01A 59 years, female, asian, stage:Stage I, alive, 141 days 153.6
TCGA-2Y-A9H8-01A 85 years, female, white, stage:'--, dead, 633 days 115.5
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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.

NME2 is validated prognostic, high expression is unfavorable 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.

: 783.59
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 719.0
Number of samples 231
Samples
Sample Description pTPM
DO45161 74 years, male, NA, stage:2, dead, 540 days 3080.4
DO45307 54 years, female, NA, stage:4, dead, 240 days 2324.7
DO45093 71 years, male, NA, stage:2, dead, 720 days 2308.6
DO23519 65 years, male, NA, stage:3, alive, 630 days 2209.4
DO45275 65 years, male, NA, stage:3, dead, 10 days 2048.8
DO45285 59 years, male, NA, stage:3, alive, 480 days 1943.1
DO45245 75 years, female, NA, stage:2, dead, 240 days 1922.9
DO45303 62 years, female, NA, stage:3, alive, 990 days 1903.7
DO45283 60 years, male, NA, stage:3, alive, 510 days 1721.3
DO48747 62 years, male, NA, stage:3, alive, 540 days 1609.8
DO45301 56 years, male, NA, stage:2, dead, 1440 days 1596.1
DO45211 76 years, male, NA, stage:3, alive, 240 days 1498.1
DO45299 70 years, female, NA, stage:1, alive, 1440 days 1489.1
DO45297 61 years, female, NA, stage:4, dead, 1260 days 1447.0
DO50829 78 years, male, NA, stage:3, alive, 570 days 1445.0
DO45269 59 years, male, NA, stage:3, alive, 750 days 1441.4
DO50814 83 years, male, NA, stage:3, alive, 420 days 1430.5
DO50806 70 years, male, NA, stage:4, alive, 540 days 1393.2
DO45119 74 years, male, NA, stage:3, dead, 510 days 1392.4
DO50785 37 years, male, NA, stage:4, dead, 90 days 1381.0
DO45305 66 years, male, NA, stage:4, alive, 300 days 1359.3
DO48741 64 years, male, NA, stage:3, alive, 240 days 1332.5
DO45251 57 years, female, NA, stage:2, alive, 900 days 1300.4
DO23526 66 years, male, NA, stage:3, alive, 1050 days 1282.5
DO23533 61 years, male, NA, stage:2, alive, 900 days 1226.8
DO45145 78 years, male, NA, stage:3, dead, 60 days 1222.1
DO45259 65 years, male, NA, stage:3, alive, 330 days 1208.9
DO45279 67 years, male, NA, stage:3, alive, 1290 days 1196.5
DO45155 69 years, male, NA, stage:2, alive, 2160 days 1192.3
DO45273 62 years, male, NA, stage:2, alive, 480 days 1191.4
DO45277 64 years, male, NA, stage:3, alive, 600 days 1176.2
DO50813 56 years, male, NA, stage:2, alive, 420 days 1164.5
DO50809 56 years, male, NA, stage:3, dead, 720 days 1158.2
DO48720 62 years, female, NA, stage:2, alive, 570 days 1156.1
DO23508 79 years, female, NA, stage:2, alive, 390 days 1139.3
DO45139 63 years, male, NA, stage:3, alive, 1320 days 1134.5
DO45289 78 years, female, NA, stage:3, alive, 360 days 1098.3
DO23515 71 years, male, NA, stage:2, alive, 1230 days 1074.1
DO45281 83 years, male, NA, stage:4, alive, 750 days 1069.9
DO45092 62 years, male, NA, stage:4, dead, 1200 days 1068.9
DO48672 81 years, male, NA, stage:2, alive, 450 days 1058.3
DO45209 70 years, male, NA, stage:4, alive, 1350 days 1031.1
DO48682 72 years, female, NA, stage:3, dead, 120 days 1019.4
DO23525 71 years, male, NA, stage:4, alive, 1050 days 1000.5
DO50778 60 years, male, NA, stage:4, alive, 630 days 995.7
DO48759 73 years, male, NA, stage:3, alive, 720 days 992.4
DO48730 73 years, female, NA, stage:2, alive, 630 days 967.1
DO45097 69 years, male, NA, stage:3, alive, 1620 days 962.6
DO45175 74 years, male, NA, stage:2, alive, 1140 days 953.2
DO45131 53 years, male, NA, stage:4, dead, 360 days 952.4
DO45267 73 years, male, NA, stage:3, dead, 570 days 950.4
DO45249 57 years, male, NA, stage:1, alive, 630 days 949.3
DO48723 73 years, male, NA, stage:1, alive, 600 days 949.3
DO45123 78 years, female, NA, stage:2, dead, 570 days 949.0
DO50798 77 years, male, NA, stage:3, dead, 30 days 947.6
DO45149 70 years, female, NA, stage:2, alive, 1260 days 941.5
DO48697 64 years, female, NA, stage:2, dead, 810 days 892.1
DO45217 69 years, female, NA, stage:3, dead, 270 days 881.7
DO48704 68 years, female, NA, stage:3, alive, 750 days 864.1
DO45287 74 years, male, NA, stage:1, alive, 390 days 857.9
DO45127 73 years, male, NA, stage:3, dead, 420 days 853.5
DO50815 62 years, male, NA, stage:3, alive, 150 days 849.1
DO45185 89 years, male, NA, stage:2, alive, 600 days 833.2
DO45163 76 years, male, NA, stage:2, alive, 960 days 821.7
DO23547 74 years, male, NA, stage:1, alive, 1020 days 818.5
DO45143 69 years, male, NA, stage:3, alive, 1290 days 807.6
DO45231 84 years, male, NA, stage:2, alive, 930 days 800.1
DO23545 67 years, male, NA, stage:2, dead, 570 days 796.6
DO23540 73 years, male, NA, stage:1, alive, 750 days 795.7
DO50855 47 years, male, NA, stage:2, alive, 570 days 787.8
DO48737 52 years, male, NA, stage:1, alive, 720 days 787.6
DO23516 69 years, male, NA, stage:3, dead, 20 days 784.4
DO45205 67 years, female, NA, stage:2, dead, 90 days 783.6
DO45103 47 years, male, NA, stage:3, alive, 450 days 782.4
DO48732 73 years, male, NA, stage:3, alive, 630 days 778.8
DO45257 46 years, male, NA, stage:3, alive, 810 days 777.4
DO45189 85 years, female, NA, stage:2, alive, 1200 days 776.7
DO45169 74 years, male, NA, stage:3, alive, 1350 days 773.0
DO45221 75 years, female, NA, stage:4, dead, 390 days 772.5
DO45237 58 years, male, NA, stage:2, alive, 900 days 765.3
DO23523 52 years, male, NA, stage:3, alive, 1080 days 758.7
DO45187 32 years, female, NA, stage:1, alive, 1260 days 752.9
DO45153 77 years, female, NA, stage:2, alive, 1380 days 746.5
DO50825 70 years, male, NA, stage:2, alive, 390 days 740.5
DO45213 58 years, male, NA, stage:1, alive, 1200 days 738.8
DO48717 54 years, male, NA, stage:4, dead, 180 days 719.3
DO50805 72 years, male, NA, stage:2, alive, 690 days 717.8
DO45165 75 years, male, NA, stage:2, alive, 690 days 715.6
DO23542 66 years, male, NA, stage:3, alive, 960 days 715.5
DO45229 74 years, male, NA, stage:1, alive, 990 days 699.5
DO23513 76 years, male, NA, stage:3, alive, 1200 days 697.7
DO23509 60 years, male, NA, stage:3, dead, 780 days 692.5
DO23524 71 years, female, NA, stage:2, alive, 1050 days 681.4
DO45173 63 years, male, NA, stage:3, alive, 1170 days 677.5
DO23530 53 years, male, NA, stage:4, dead, 180 days 673.2
DO50839 47 years, female, NA, stage:3, alive, 330 days 665.7
DO23536 56 years, male, NA, stage:2, alive, 930 days 665.2
DO50819 72 years, female, NA, stage:2, alive, 510 days 663.5
DO45219 78 years, male, NA, stage:2, alive, 1080 days 661.5
DO45255 81 years, male, NA, stage:3, alive, 720 days 658.7
DO45135 77 years, male, NA, stage:1, alive, 1410 days 650.2
DO45157 62 years, male, NA, stage:2, alive, 1980 days 638.3
DO45117 73 years, female, NA, stage:2, dead, 1110 days 636.5
DO23546 63 years, male, NA, stage:2, alive, 1050 days 633.4
DO23539 77 years, male, NA, stage:1, alive, 1110 days 631.4
DO48679 72 years, male, NA, stage:2, alive, 1200 days 631.2
DO23521 63 years, male, NA, stage:3, alive, 1110 days 630.4
DO50822 66 years, male, NA, stage:2, alive, 510 days 626.6
DO50816 63 years, male, NA, stage:2, alive, 390 days 621.2
DO48700 78 years, female, NA, stage:2, alive, 810 days 616.4
DO45239 42 years, male, NA, stage:2, alive, 870 days 615.7
DO48751 68 years, male, NA, stage:2, dead, 480 days 610.2
DO50791 79 years, female, NA, stage:1, dead, 480 days 608.1
DO45133 64 years, male, NA, stage:3, dead, 660 days 602.9
DO48746 76 years, male, NA, stage:3, alive, 570 days 600.5
DO45253 50 years, male, NA, stage:2, alive, 870 days 584.8
DO45241 49 years, male, NA, stage:1, alive, 1080 days 584.5
DO50840 49 years, male, NA, stage:2, alive, 330 days 583.4
DO45095 66 years, male, NA, stage:2, alive, 1620 days 579.3
DO45109 63 years, male, NA, stage:2, alive, 1590 days 576.1
DO45223 67 years, male, NA, stage:4, alive, 1020 days 574.0
DO45141 73 years, male, NA, stage:2, alive, 1320 days 573.0
DO45191 61 years, female, NA, stage:2, alive, 1200 days 571.8
DO23549 74 years, male, NA, stage:3, alive, 990 days 571.8
DO45193 68 years, female, NA, stage:4, dead, 120 days 571.2
DO45183 72 years, female, NA, stage:2, dead, 570 days 564.3
DO50811 62 years, male, NA, stage:1, alive, 450 days 564.2
DO45171 56 years, male, NA, stage:3, alive, 600 days 562.1
DO23548 78 years, female, NA, stage:1, alive, 840 days 560.9
DO45235 68 years, female, NA, stage:1, alive, 900 days 554.7
DO23529 72 years, male, NA, stage:4, alive, 930 days 554.2
DO45227 57 years, female, NA, stage:2, alive, 1020 days 549.0
DO23511 83 years, female, NA, stage:3, dead, 180 days 542.9
DO45125 58 years, male, NA, stage:3, alive, 1680 days 531.7
DO23535 67 years, male, NA, stage:1, alive, 960 days 529.7
DO45247 31 years, female, NA, stage:2, alive, 210 days 524.0
DO45177 81 years, female, NA, stage:3, alive, 1260 days 521.9
DO48701 78 years, male, NA, stage:2, alive, 780 days 515.8
DO45105 61 years, male, NA, stage:1, alive, 1680 days 513.7
DO45113 58 years, male, NA, stage:3, alive, 1560 days 513.1
DO50800 74 years, male, NA, stage:2, alive, 510 days 512.3
DO45091 56 years, male, NA, stage:2, dead, 1320 days 507.5
DO50776 75 years, male, NA, stage:1, alive, 690 days 501.2
DO45243 74 years, female, NA, stage:3, alive, 930 days 500.0
DO48693 71 years, male, NA, stage:2, alive, 900 days 497.7
DO23514 64 years, male, NA, stage:2, alive, 1290 days 496.4
DO45199 86 years, female, NA, stage:2, alive, 1350 days 495.5
DO50799 66 years, female, NA, stage:2, alive, 540 days 493.2
DO48728 74 years, female, NA, stage:2, alive, 150 days 490.5
DO50859 77 years, male, NA, stage:2, alive, 180 days 486.2
DO23541 65 years, male, NA, stage:2, alive, 930 days 482.8
DO23543 63 years, male, NA, stage:2, alive, 1020 days 482.1
DO45225 69 years, male, NA, stage:1, alive, 1050 days 480.9
DO50850 74 years, male, NA, stage:3, alive, 720 days 478.7
DO23537 79 years, male, NA, stage:2, dead, 900 days 475.2
DO48695 77 years, male, NA, stage:2, alive, 720 days 474.3
DO48677 58 years, male, NA, stage:3, alive, 1140 days 471.6
DO45203 71 years, female, NA, stage:2, alive, 1170 days 470.3
DO48716 71 years, male, NA, stage:2, alive, 720 days 464.9
DO45115 81 years, male, NA, stage:2, alive, 840 days 460.5
DO23518 67 years, male, NA, stage:2, alive, 1320 days 458.2
DO48736 76 years, female, NA, stage:1, alive, 600 days 457.9
DO50774 68 years, female, NA, stage:2, alive, 720 days 455.3
DO45265 73 years, male, NA, stage:3, alive, 1020 days 453.7
DO48712 50 years, male, NA, stage:2, alive, 810 days 452.2
DO45263 67 years, male, NA, stage:3, dead, 270 days 451.3
DO50783 62 years, male, NA, stage:3, alive, 480 days 450.5
DO50808 68 years, male, NA, stage:2, alive, 570 days 447.1
DO45201 49 years, male, NA, stage:1, alive, 900 days 444.1
DO48727 81 years, female, NA, stage:2, dead, 390 days 439.4
DO48715 58 years, female, NA, stage:2, dead, 690 days 438.7
DO50793 76 years, male, NA, stage:4, alive, 540 days 433.3
DO227801 77 years, female, NA, stage:1, alive, 660 days 426.9
DO23512 60 years, male, NA, stage:1, alive, 1260 days 421.8
DO48761 55 years, male, NA, stage:2, alive, 870 days 420.2
DO23510 80 years, female, NA, stage:2, alive, 870 days 413.3
DO48743 69 years, female, NA, stage:2, alive, 570 days 412.9
DO50817 75 years, male, NA, stage:2, alive, 390 days 412.0
DO45159 65 years, male, NA, stage:3, alive, 1470 days 409.2
DO23528 45 years, female, NA, stage:2, alive, 1020 days 409.0
DO48757 68 years, female, NA, stage:3, alive, 480 days 408.2
DO227643 79 years, male, NA, stage:2, alive, 1260 days 406.8
DO50818 65 years, male, NA, stage:2, alive, 510 days 405.9
DO50832 73 years, male, NA, stage:3, alive, 90 days 403.8
DO45101 63 years, male, NA, stage:2, alive, 1680 days 400.2
DO45137 38 years, male, NA, stage:1, alive, 1320 days 399.9
DO23552 80 years, female, NA, stage:1, alive, 810 days 399.2
DO45121 61 years, male, NA, stage:3, alive, 1530 days 392.8
DO50802 49 years, male, NA, stage:2, alive, 930 days 380.3
DO48721 58 years, female, NA, stage:1, alive, 900 days 375.7
DO45167 67 years, male, NA, stage:2, dead, 1440 days 370.6
DO45129 61 years, male, NA, stage:3, alive, 1470 days 368.7
DO50789 73 years, female, NA, stage:2, alive, 570 days 368.6
DO50857 72 years, male, NA, stage:2, alive, 210 days 367.0
DO45261 74 years, male, NA, stage:3, alive, 990 days 363.6
DO48681 57 years, male, NA, stage:2, alive, 900 days 359.2
DO48742 76 years, male, NA, stage:2, alive, 600 days 355.8
DO45099 46 years, male, NA, stage:3, alive, 1590 days 353.3
DO45096 69 years, male, NA, stage:2, dead, 1290 days 350.6
DO48725 66 years, male, NA, stage:1, alive, 780 days 348.4
DO45233 83 years, male, NA, stage:3, alive, 900 days 342.5
DO23550 69 years, male, NA, stage:1, alive, 990 days 341.6
DO48733 72 years, male, NA, stage:2, alive, 600 days 338.0
DO23532 71 years, female, NA, stage:1, alive, 960 days 322.6
DO23517 62 years, male, NA, stage:2, alive, 1200 days 318.9
DO50803 62 years, female, NA, stage:1, alive, 540 days 317.1
DO23527 72 years, male, NA, stage:1, alive, 1050 days 311.4
DO48706 72 years, male, NA, stage:2, alive, 870 days 308.3
DO45215 65 years, male, NA, stage:2, alive, 1170 days 306.9
DO45207 68 years, male, NA, stage:1, alive, 1050 days 299.3
DO50844 75 years, male, NA, stage:4, alive, 300 days 298.6
DO45179 78 years, female, NA, stage:2, alive, 600 days 297.8
DO50845 72 years, male, NA, stage:3, alive, 210 days 294.0
DO48719 80 years, male, NA, stage:2, alive, 690 days 293.9
DO45197 51 years, male, NA, stage:2, alive, 1170 days 283.1
DO50787 63 years, male, NA, stage:3, alive, 480 days 277.5
DO45111 74 years, male, NA, stage:2, alive, 1590 days 268.5
DO48674 80 years, male, NA, stage:2, alive, 1260 days 263.4
DO45181 84 years, female, NA, stage:2, alive, 1200 days 262.0
DO45094 76 years, male, NA, stage:3, alive, 1650 days 254.8
DO23538 67 years, male, NA, stage:2, alive, 450 days 251.9
DO48760 70 years, female, NA, stage:2, alive, 690 days 251.0
DO45195 62 years, male, NA, stage:1, alive, 390 days 246.6
DO50820 77 years, female, NA, stage:3, alive, 510 days 241.4
DO50804 81 years, male, NA, stage:2, alive, 720 days 241.0
DO23544 67 years, male, NA, stage:2, alive, 960 days 227.6
DO23534 60 years, male, NA, stage:2, alive, 840 days 219.1
DO23531 78 years, female, NA, stage:3, alive, 900 days 206.6
DO23551 73 years, male, NA, stage:3, dead, 150 days 195.4
DO45107 63 years, female, NA, stage:2, alive, 1710 days 192.3
DO50807 67 years, male, NA, stage:1, alive, 540 days 160.9
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LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples 330
Samples
Sample ID Sample type nRPX
745 Tumor 1.4
393 Tumor 1.3
257 Tumor 1.2
567 Tumor 1.0
147 Tumor 0.9
387 Tumor 0.8
743 Tumor 0.8
353 Tumor 0.8
357 Tumor 0.8
615 Tumor 0.8
361 Tumor 0.7
445 Tumor 0.7
573 Tumor 0.7
127 Tumor 0.7
635 Tumor 0.7
375 Tumor 0.7
957 Tumor 0.6
663 Tumor 0.6
741 Tumor 0.5
267 Tumor 0.5
137 Tumor 0.5
443 Tumor 0.5
331 Tumor 0.5
571 Tumor 0.5
981 Tumor 0.5
187 Tumor 0.5
557 Tumor 0.5
661 Tumor 0.5
327 Tumor 0.5
421 Tumor 0.5
231 Tumor 0.5
125 Tumor 0.5
685 Tumor 0.5
627 Tumor 0.4
311 Tumor 0.4
351 Tumor 0.4
297 Tumor 0.4
423 Tumor 0.4
367 Tumor 0.4
777 Tumor 0.4
665 Tumor 0.4
867 Tumor 0.3
953 Tumor 0.3
285 Tumor 0.3
385 Tumor 0.3
195 Tumor 0.3
365 Tumor 0.3
435 Tumor 0.3
191 Tumor 0.3
223 Tumor 0.3
983 Tumor 0.3
213 Tumor 0.3
465 Tumor 0.3
227 Tumor 0.3
463 Tumor 0.2
671 Tumor 0.2
123 Tumor 0.2
477 Tumor 0.2
1021 Tumor 0.2
815 Tumor 0.2
431 Tumor 0.2
162 Normal 0.2
515 Tumor 0.2
461 Tumor 0.2
436 Normal 0.2
277 Tumor 0.2
185 Tumor 0.2
395 Tumor 0.2
861 Tumor 0.2
113 Tumor 0.2
925 Tumor 0.2
513 Tumor 0.2
394 Normal 0.2
865 Tumor 0.1
172 Normal 0.1
427 Tumor 0.1
915 Tumor 0.1
1027 Tumor 0.1
467 Tumor 0.1
451 Tumor 0.1
664 Normal 0.1
135 Tumor 0.1
1043 Tumor 0.1
481 Tumor 0.1
222 Normal 0.1
1015 Tumor 0.1
278 Normal 0.1
1013 Tumor 0.1
188 Normal 0.1
537 Tumor 0.1
525 Tumor 0.1
648 Normal 0.1
432 Normal 0.1
171 Tumor 0.1
145 Tumor 0.1
433 Tumor 0.1
727 Tumor 0.1
517 Tumor 0.0
917 Tumor 0.0
411 Tumor 0.0
414 Normal 0.0
391 Tumor 0.0
392 Normal 0.0
312 Normal 0.0
186 Normal 0.0
124 Normal 0.0
341 Tumor 0.0
466 Normal 0.0
425 Tumor 0.0
383 Tumor 0.0
455 Tumor 0.0
132 Normal 0.0
314 Normal 0.0
527 Tumor 0.0
332 Normal 0.0
785 Tumor 0.0
1025 Tumor 0.0
873 Tumor 0.0
851 Tumor 0.0
737 Tumor 0.0
424 Normal 0.0
813 Tumor 0.0
913 Tumor 0.0
715 Tumor 0.0
358 Normal 0.0
563 Tumor 0.0
111 Normal 0.0
444 Normal 0.0
617 Tumor 0.0
923 Tumor 0.0
428 Normal 0.0
362 Normal 0.0
196 Normal 0.0
965 Tumor 0.0
366 Normal 0.0
824 Normal 0.0
464 Normal 0.0
422 Normal 0.0
786 Normal 0.0
666 Normal 0.0
386 Normal 0.0
523 Tumor -0.1
1041 Tumor -0.1
136 Normal -0.1
911 Tumor -0.1
376 Normal -0.1
148 Normal -0.1
232 Normal -0.1
641 Tumor -0.1
217 Tumor -0.1
342 Normal -0.1
218 Normal -0.1
951 Tumor -0.1
138 Normal -0.1
211 Tumor -0.1
447 Tumor -0.1
446 Normal -0.1
268 Normal -0.1
426 Normal -0.1
128 Normal -0.1
483 Tumor -0.1
126 Normal -0.1
286 Normal -0.1
817 Tumor -0.1
912 Normal -0.1
814 Normal -0.1
724 Normal -0.1
863 Tumor -0.1
1022 Normal -0.1
258 Normal -0.1
533 Tumor -0.1
388 Normal -0.1
131 Tumor -0.1
883 Tumor -0.1
628 Normal -0.1
354 Normal -0.1
738 Normal -0.1
343 Tumor -0.1
112 Tumor -0.1
618 Normal -0.1
261 Tumor -0.1
493 Tumor -0.1
228 Normal -0.1
192 Normal -0.1
355 Tumor -0.1
713 Tumor -0.1
642 Normal -0.1
456 Normal -0.1
952 Normal -0.1
857 Tumor -0.1
298 Normal -0.2
114 Normal -0.2
858 Normal -0.2
452 Normal -0.2
214 Normal -0.2
868 Normal -0.2
884 Normal -0.2
864 Normal -0.2
545 Tumor -0.2
262 Normal -0.2
283 Tumor -0.2
271 Tumor -0.2
146 Normal -0.2
462 Normal -0.2
662 Normal -0.2
564 Normal -0.2
161 Tumor -0.2
497 Tumor -0.2
313 Tumor -0.2
284 Normal -0.2
396 Normal -0.2
272 Normal -0.2
416 Normal -0.2
723 Tumor -0.2
636 Normal -0.2
728 Normal -0.2
468 Normal -0.2
742 Normal -0.2
695 Tumor -0.2
647 Tumor -0.2
916 Normal -0.2
528 Normal -0.2
434 Normal -0.2
874 Normal -0.2
616 Normal -0.2
818 Normal -0.2
384 Normal -0.2
344 Normal -0.2
862 Normal -0.2
697 Tumor -0.2
926 Normal -0.2
1026 Normal -0.2
816 Normal -0.2
756 Normal -0.2
866 Normal -0.3
881 Tumor -0.3
922 Normal -0.3
722 Normal -0.3
368 Normal -0.3
746 Normal -0.3
558 Normal -0.3
568 Normal -0.3
221 Tumor -0.3
352 Normal -0.3
574 Normal -0.3
943 Tumor -0.3
982 Normal -0.3
1044 Normal -0.3
714 Normal -0.3
471 Tumor -0.3
1016 Normal -0.3
514 Normal -0.3
955 Tumor -0.3
448 Normal -0.3
328 Normal -0.3
721 Tumor -0.3
978 Normal -0.3
546 Normal -0.3
977 Tumor -0.3
852 Normal -0.3
976 Normal -0.3
918 Normal -0.3
356 Normal -0.3
535 Tumor -0.3
572 Normal -0.3
1032 Normal -0.3
963 Tumor -0.3
1046 Normal -0.3
944 Normal -0.3
778 Normal -0.4
1045 Tumor -0.4
518 Normal -0.4
882 Normal -0.4
964 Normal -0.4
224 Normal -0.4
141 Tumor -0.4
516 Normal -0.4
966 Normal -0.4
482 Normal -0.4
1042 Normal -0.4
212 Normal -0.4
474 Normal -0.4
698 Normal -0.4
924 Normal -0.4
956 Normal -0.4
755 Tumor -0.4
472 Normal -0.4
716 Normal -0.4
958 Normal -0.4
914 Normal -0.4
968 Normal -0.4
484 Normal -0.4
672 Normal -0.4
696 Normal -0.4
494 Normal -0.4
823 Tumor -0.5
364 Normal -0.5
534 Normal -0.5
412 Normal -0.5
487 Tumor -0.5
142 Normal -0.5
1031 Tumor -0.5
1028 Normal -0.5
415 Tumor -0.5
938 Normal -0.5
488 Normal -0.5
1014 Normal -0.5
413 Tumor -0.5
975 Tumor -0.5
526 Normal -0.5
878 Normal -0.5
536 Normal -0.5
984 Normal -0.6
967 Tumor -0.6
686 Normal -0.6
877 Tumor -0.6
744 Normal -0.6
524 Normal -0.6
954 Normal -0.6
498 Normal -0.6
478 Normal -0.7
492 Normal -0.7
554 Normal -0.7
937 Tumor -0.8
921 Tumor -0.8
491 Tumor -0.8
553 Tumor -0.8
538 Normal -0.8
363 Tumor -0.8
473 Tumor -1.0
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 HPA041113
 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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