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  • SUMMARY

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  • MT1X
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
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.

MT1X 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.

: 340.62
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 876.5
Number of samples 362
Samples
Sample Description pTPM
TCGA-UB-A7MC-01A 59 years, male, white, stage:Stage IIIA, alive, 500 days 30089.3
TCGA-DD-AAE7-01A 72 years, male, asian, stage:Stage I, alive, 644 days 15262.8
TCGA-G3-A3CJ-01A 52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days 14100.4
TCGA-DD-AAC9-01A 51 years, male, asian, stage:Stage I, alive, 347 days 12582.7
TCGA-BC-A110-01A 51 years, female, black or african american, stage:'--, dead, 2116 days 11908.9
TCGA-BC-A69I-01A 69 years, male, white, stage:Stage I, alive, 387 days 11715.8
TCGA-ED-A7XP-01A 53 years, female, asian, stage:Stage II, alive, 400 days 9058.0
TCGA-DD-AAED-01A 51 years, male, asian, stage:Stage I, alive, 763 days 9006.0
TCGA-DD-AAVX-01A 38 years, male, asian, stage:Stage II, alive, 1718 days 6709.5
TCGA-LG-A9QD-01A 68 years, male, white, stage:Stage IIIA, alive, 366 days 5516.5
TCGA-WQ-AB4B-01A 62 years, male, white, stage:Stage II, alive, 395 days 5416.3
TCGA-DD-A4NK-01A 80 years, female, white, stage:Stage IIIA, dead, 1210 days 4889.2
TCGA-DD-AAEB-01A 60 years, male, asian, stage:Stage I, alive, 478 days 4411.1
TCGA-DD-A4NL-01A 46 years, male, white, stage:Stage I, alive, 1711 days 3945.3
TCGA-5R-AA1D-01A 17 years, female, white, stage:Stage IIIA, alive, 449 days 3728.2
TCGA-ED-A627-01A 74 years, male, white, stage:Stage I, alive, 423 days 3569.2
TCGA-BD-A2L6-01A 69 years, male, white, stage:'--, alive, 1363 days 3506.1
TCGA-DD-AACD-01A 48 years, male, asian, stage:Stage I, dead, 381 days 3464.6
TCGA-BC-A10X-01A 52 years, female, white, stage:Stage IIIA, dead, 770 days 3440.9
TCGA-G3-A25Z-01A 58 years, male, asian, stage:Stage I, alive, 655 days 3336.3
TCGA-DD-AADU-01A 60 years, male, asian, stage:Stage II, alive, 554 days 3333.5
TCGA-UB-A7MD-01A 67 years, male, black or african american, stage:Stage I, dead, 52 days 3326.6
TCGA-RC-A6M5-01A 20 years, female, white, stage:Stage IVA, alive, 15 days 3064.8
TCGA-DD-A1ED-01A 68 years, male, white, stage:Stage I, alive, 2301 days 2964.2
TCGA-ZS-A9CD-01A 73 years, male, white, stage:Stage II, dead, 1386 days 2917.1
TCGA-MI-A75G-01A 63 years, male, white, stage:Stage II, alive, 698 days 2695.0
TCGA-2Y-A9GV-01A 54 years, female, white, stage:Stage I, dead, 2532 days 2558.0
TCGA-ZS-A9CG-01A 55 years, male, white, stage:Stage II, alive, 341 days 2509.5
TCGA-WX-AA46-01A 61 years, male, white, stage:Stage II, alive, 756 days 2501.8
TCGA-DD-AAE2-01A 51 years, male, asian, stage:Stage I, alive, 638 days 2227.3
TCGA-DD-AAE3-01A 50 years, male, asian, stage:Stage I, alive, 566 days 2135.6
TCGA-YA-A8S7-01A 68 years, male, white, stage:Stage IIIA, dead, 412 days 2132.0
TCGA-WX-AA47-01A 33 years, female, white, stage:Stage IIIA, dead, 556 days 1961.9
TCGA-DD-AADS-01A 63 years, male, asian, stage:Stage I, alive, 474 days 1889.3
TCGA-G3-AAV4-01A 83 years, female, white, stage:Stage I, dead, 27 days 1870.0
TCGA-G3-A25U-01A 63 years, female, asian, stage:Stage I, alive, 1636 days 1826.7
TCGA-MR-A520-01A 58 years, male, white, stage:Stage I, alive, 229 days 1761.3
TCGA-DD-A4NP-01A 32 years, male, white, stage:Stage I, alive, 3308 days 1738.7
TCGA-DD-AACN-01A 32 years, male, asian, stage:Stage I, alive, 1302 days 1667.5
TCGA-5R-AAAM-01A 65 years, female, white, stage:Stage II, dead, 46 days 1630.5
TCGA-DD-AACG-01A 52 years, male, asian, stage:Stage II, dead, 469 days 1619.5
TCGA-K7-A5RF-01A 64 years, male, white, stage:Stage I, alive, 631 days 1613.9
TCGA-G3-A5SK-01A 58 years, male, white, stage:Stage I, alive, 744 days 1577.4
TCGA-G3-A25V-01A 68 years, male, white, stage:Stage I, alive, 860 days 1556.8
TCGA-DD-AADQ-01A 59 years, male, asian, stage:Stage II, alive, 436 days 1549.2
TCGA-G3-A3CG-01A 80 years, male, white, stage:Stage I, alive, 673 days 1452.9
TCGA-MI-A75H-01A 77 years, male, white, stage:'--, alive, 747 days 1432.3
TCGA-BC-A5W4-01A 69 years, male, white, stage:Stage IIIA, dead, 547 days 1337.2
TCGA-DD-A4NV-01A 61 years, male, white, stage:Stage IIIA, alive, 2398 days 1303.2
TCGA-2Y-A9GZ-01A 82 years, female, white, stage:Stage II, dead, 848 days 1189.9
TCGA-G3-A3CI-01A 71 years, male, white, stage:Stage I, alive, 180 days 1186.9
TCGA-DD-A1EC-01A 20 years, female, white, stage:Stage I, alive, 602 days 1182.2
TCGA-4R-AA8I-01A 66 years, male, white, stage:Stage II, dead, 262 days 1180.9
TCGA-UB-AA0V-01A 69 years, female, white, stage:Stage I, alive, 314 days 1148.9
TCGA-XR-A8TF-01A 74 years, male, white, stage:Stage I, dead, 693 days 1128.0
TCGA-G3-A25T-01A 45 years, female, white, stage:Stage IIIA, alive, 1553 days 1099.9
TCGA-CC-A123-01A 24 years, female, asian, stage:Stage IIIA, alive, 219 days 1094.2
TCGA-G3-A7M5-01A 76 years, male, asian, stage:Stage I, alive, 447 days 1078.2
TCGA-DD-AADR-01A 58 years, male, asian, stage:Stage I, alive, 2028 days 1068.5
TCGA-GJ-A6C0-01A 75 years, female, white, stage:Stage II, dead, 31 days 1068.1
TCGA-ZP-A9CY-01A 66 years, female, white, stage:'--, alive, 782 days 1061.8
TCGA-NI-A4U2-01A 71 years, male, white, stage:Stage IIIA, dead, 1791 days 1050.9
TCGA-2Y-A9GX-01A 68 years, male, white, stage:Stage I, alive, 2442 days 1046.5
TCGA-2Y-A9H9-01A 70 years, male, white, stage:Stage I, alive, 697 days 1043.2
TCGA-DD-AAE4-01A 49 years, female, asian, stage:Stage I, alive, 608 days 1034.9
TCGA-DD-A1EB-01A 72 years, female, stage:Stage I, alive, 2017 days 1017.1
TCGA-DD-A73E-01A 66 years, male, white, stage:Stage I, alive, 44 days 1016.2
TCGA-PD-A5DF-01A 58 years, female, white, stage:Stage IIIB, dead, 639 days 1001.4
TCGA-ED-A7XO-01A 29 years, male, asian, stage:Stage IIIA, alive, 427 days 917.7
TCGA-BC-A10S-01A 81 years, male, white, stage:'--, dead, 1423 days 909.4
TCGA-CC-5259-01A 60 years, female, asian, stage:Stage IIIC, alive, 250 days 907.2
TCGA-DD-AACC-01A 61 years, male, asian, stage:Stage I, dead, 1685 days 898.1
TCGA-DD-A3A4-01A 37 years, male, white, stage:Stage IIIA, dead, 612 days 895.8
TCGA-DD-A1EK-01A 64 years, female, white, stage:Stage IVB, dead, 558 days 862.2
TCGA-DD-AADV-01A 50 years, male, asian, stage:Stage I, alive, 574 days 859.2
TCGA-DD-AADG-01A 70 years, male, asian, stage:Stage IIIA, alive, 1145 days 855.8
TCGA-RC-A7SB-01A 53 years, male, asian, stage:Stage II, alive, 588 days 854.5
TCGA-G3-A6UC-01A 65 years, male, white, stage:Stage IIIB, alive, 671 days 847.3
TCGA-CC-A7II-01A 54 years, male, asian, stage:Stage IIIA, alive, 399 days 844.1
TCGA-CC-A7IJ-01A 56 years, male, asian, stage:Stage II, alive, 382 days 836.4
TCGA-G3-A5SL-01A 70 years, male, white, stage:Stage II, alive, 621 days 835.5
TCGA-DD-AADL-01A 58 years, male, asian, stage:Stage I, alive, 636 days 818.5
TCGA-KR-A7K0-01A 65 years, male, white, stage:Stage I, dead, 65 days 807.4
TCGA-RC-A6M4-01A 74 years, female, white, stage:Stage IIIA, alive, 22 days 793.9
TCGA-DD-AACF-01A 68 years, male, asian, stage:Stage I, dead, 365 days 773.3
TCGA-G3-AAUZ-01A 48 years, male, stage:Stage I, alive, 480 days 759.7
TCGA-G3-A3CK-01A 61 years, male, asian, stage:Stage I, alive, 585 days 756.8
TCGA-EP-A2KB-01A 46 years, female, white, stage:Stage I, dead, 596 days 733.1
TCGA-5R-AA1C-01A 57 years, male, white, stage:Stage II, alive, 520 days 729.1
TCGA-DD-A11D-01A 57 years, female, white, stage:Stage I, dead, 1560 days 726.3
TCGA-DD-A4NQ-01A 60 years, male, white, stage:Stage II, dead, 373 days 726.2
TCGA-DD-AAW1-01A 55 years, male, asian, stage:Stage IIIA, alive, 1989 days 723.2
TCGA-G3-AAV5-01A 67 years, male, white, stage:Stage II, alive, 354 days 696.9
TCGA-DD-A3A8-01A 75 years, male, white, stage:Stage II, dead, 11 days 689.0
TCGA-DD-A4NB-01A 25 years, male, white, stage:Stage I, alive, 989 days 682.0
TCGA-KR-A7K8-01A 57 years, male, stage:Stage I, alive, 906 days 680.6
TCGA-ZP-A9CV-01A 59 years, male, white, stage:'--, dead, 1088 days 658.7
TCGA-DD-AAEK-01A 51 years, male, asian, stage:Stage II, alive, 1067 days 646.2
TCGA-ES-A2HT-01A 54 years, male, black or african american, stage:Stage I, dead, 438 days 639.0
TCGA-DD-A116-01A 68 years, male, asian, stage:Stage IIIA, dead, 1622 days 638.6
TCGA-ED-A97K-01A 54 years, male, asian, stage:Stage IIIA, alive, 6 days 635.3
TCGA-EP-A26S-01A 70 years, male, white, stage:Stage I, alive, 608 days 630.1
TCGA-DD-A115-01A 53 years, male, white, stage:Stage IIIA, dead, 2542 days 603.3
TCGA-DD-A4NI-01A 67 years, male, white, stage:Stage II, alive, 816 days 600.1
TCGA-XR-A8TG-01A 58 years, male, white, stage:Stage I, alive, 898 days 589.1
TCGA-NI-A8LF-01A 74 years, male, white, stage:Stage I, alive, 799 days 579.7
TCGA-DD-AACL-01A 66 years, female, asian, stage:Stage I, dead, 107 days 560.0
TCGA-G3-A7M7-01A 65 years, male, white, stage:Stage I, alive, 361 days 552.8
TCGA-3K-AAZ8-01A 65 years, male, black or african american, stage:Stage IIIB, alive, 396 days 543.8
TCGA-DD-AACE-01A 62 years, male, asian, stage:Stage I, alive, 2184 days 543.5
TCGA-DD-AAD6-01A 66 years, male, asian, stage:Stage IIIA, alive, 672 days 541.8
TCGA-MI-A75E-01A 61 years, male, white, stage:Stage IIIC, alive, 507 days 535.9
TCGA-DD-AAEA-01A 65 years, male, asian, stage:Stage I, alive, 575 days 518.4
TCGA-HP-A5N0-01A 90 years, female, stage:'--, dead, 752 days 515.5
TCGA-DD-A4NS-01A 61 years, female, white, stage:Stage I, dead, 2456 days 512.7
TCGA-DD-AADC-01A 53 years, male, asian, stage:Stage I, dead, 425 days 498.9
TCGA-DD-AACX-01A 66 years, male, asian, stage:Stage II, alive, 170 days 495.4
TCGA-DD-AAVV-01A 56 years, male, asian, stage:Stage II, alive, 2455 days 492.2
TCGA-G3-A5SM-01A 58 years, male, white, stage:Stage II, alive, 520 days 491.6
TCGA-XR-A8TD-01A 49 years, female, white, stage:Stage IIIB, alive, 1030 days 489.5
TCGA-BD-A3EP-01A 75 years, female, black or african american, stage:Stage I, alive, 409 days 484.2
TCGA-BD-A3ER-01A 62 years, male, white, stage:Stage II, alive, 1115 days 480.6
TCGA-DD-A3A6-01A 72 years, female, white, stage:Stage II, dead, 3258 days 478.1
TCGA-K7-A6G5-01A 66 years, male, white, stage:Stage I, alive, 512 days 472.9
TCGA-DD-AAW3-01A 69 years, male, asian, stage:Stage I, alive, 1633 days 452.8
TCGA-CC-A8HU-01A 39 years, female, asian, stage:Stage IIIA, dead, 344 days 451.0
TCGA-DD-AAD5-01A 54 years, male, asian, stage:Stage I, alive, 1345 days 439.9
TCGA-DD-A73A-01A 71 years, male, white, stage:Stage I, alive, 728 days 438.4
TCGA-CC-5264-01A 71 years, male, asian, stage:Stage IIIA, dead, 102 days 418.6
TCGA-DD-AACK-01A 70 years, male, asian, stage:Stage I, alive, 9 days 414.0
TCGA-UB-A7MB-01A 24 years, male, white, stage:Stage II, alive, 601 days 409.1
TCGA-CC-A7IK-01A 59 years, male, asian, stage:Stage IIIA, dead, 262 days 407.8
TCGA-GJ-A3OU-01A 59 years, male, white, stage:Stage I, alive, 879 days 405.0
TCGA-2Y-A9H0-01A 49 years, male, white, stage:Stage IIIA, alive, 3675 days 391.8
TCGA-FV-A3I0-01A 76 years, female, white, stage:Stage II, alive, 848 days 391.7
TCGA-ED-A4XI-01A 58 years, male, asian, stage:Stage II, alive, 819 days 390.0
TCGA-DD-AAEE-01A 55 years, male, asian, stage:Stage I, alive, 810 days 389.9
TCGA-DD-AADF-01A 64 years, female, asian, stage:Stage I, dead, 115 days 386.3
TCGA-G3-A7M8-01A 31 years, male, asian, stage:Stage I, alive, 430 days 384.2
TCGA-FV-A495-01A 51 years, female, white, stage:Stage II, alive, 1 days 383.3
TCGA-DD-AACV-01A 53 years, male, asian, stage:Stage I, alive, 1531 days 382.5
TCGA-DD-A73F-01A 77 years, female, white, stage:Stage I, alive, 1085 days 379.6
TCGA-DD-AACW-01A 43 years, male, asian, stage:Stage I, alive, 1424 days 352.3
TCGA-DD-A73D-01A 68 years, female, white, stage:Stage II, alive, 693 days 350.0
TCGA-DD-A4ND-01A 56 years, female, white, stage:Stage I, alive, 2746 days 345.0
TCGA-DD-A1EA-01A 68 years, male, asian, stage:Stage II, alive, 2415 days 341.6
TCGA-DD-AAE1-01A 52 years, male, asian, stage:Stage I, alive, 552 days 340.6
TCGA-BC-A10W-01A 50 years, male, asian, stage:'--, dead, 91 days 339.8
TCGA-2Y-A9GT-01A 51 years, male, white, stage:Stage I, dead, 1624 days 338.4
TCGA-ZP-A9D2-01A 51 years, male, white, stage:'--, dead, 765 days 329.6
TCGA-WQ-A9G7-01A 71 years, female, white, stage:'--, alive, 30 days 328.9
TCGA-G3-A5SI-01A 44 years, male, asian, stage:Stage II, dead, 768 days 325.1
TCGA-DD-AADD-01A 51 years, male, asian, stage:Stage I, alive, 1231 days 323.1
TCGA-FV-A4ZQ-01A 52 years, male, white, stage:Stage I, alive, 12 days 320.7
TCGA-G3-AAV1-01A 51 years, male, asian, stage:Stage IIIC, dead, 359 days 320.4
TCGA-DD-A1EE-01A 73 years, male, white, stage:Stage IIIA, dead, 349 days 306.9
TCGA-FV-A3R2-01A 75 years, male, white, stage:Stage I, dead, 194 days 304.6
TCGA-G3-A7M6-01A 60 years, female, white, stage:Stage I, alive, 632 days 303.6
TCGA-G3-A7M9-01A 70 years, male, white, stage:Stage IIIB, dead, 56 days 302.3
TCGA-UB-AA0U-01A 60 years, male, white, stage:Stage II, alive, 327 days 301.0
TCGA-CC-A3MA-01A 61 years, male, asian, stage:Stage IIIA, dead, 303 days 299.8
TCGA-ZP-A9D1-01A 56 years, female, white, stage:'--, alive, 21 days 294.6
TCGA-2Y-A9HA-01A 70 years, male, white, stage:Stage II, dead, 36 days 287.2
TCGA-LG-A6GG-01A 79 years, female, white, stage:Stage II, alive, 387 days 283.9
TCGA-DD-AACA-01A 65 years, male, asian, stage:Stage I, alive, 2301 days 283.2
TCGA-DD-AACJ-01A 75 years, male, asian, stage:Stage II, alive, 2102 days 279.3
TCGA-CC-A5UE-01A 48 years, male, asian, stage:Stage IIIB, dead, 272 days 266.0
TCGA-BC-A3KF-01A 66 years, female, white, stage:Stage I, alive, 8 days 264.0
TCGA-CC-A3M9-01A 45 years, male, asian, stage:Stage IIIA, dead, 300 days 262.1
TCGA-ED-A459-01A 47 years, male, asian, stage:Stage II, alive, 910 days 261.6
TCGA-FV-A496-01A 84 years, female, white, stage:Stage I, alive, 10 days 261.3
TCGA-GJ-A9DB-01A 68 years, male, white, stage:Stage I, dead, 67 days 258.7
TCGA-5C-A9VG-01A 58 years, male, white, stage:Stage II, alive, 328 days 257.9
TCGA-CC-A5UC-01A 63 years, male, asian, stage:Stage IIIA, dead, 347 days 257.3
TCGA-EP-A12J-01A 62 years, male, black or african american, stage:Stage I, alive, 570 days 251.8
TCGA-DD-A4NJ-01A 54 years, female, white, stage:Stage II, alive, 928 days 250.3
TCGA-BC-A69H-01A 64 years, male, white, stage:Stage II, alive, 444 days 241.5
TCGA-BC-A10T-01A 76 years, male, white, stage:'--, dead, 837 days 239.5
TCGA-G3-AAV2-01A 50 years, male, white, stage:Stage I, alive, 372 days 238.6
TCGA-BC-A10U-01A 69 years, male, white, stage:'--, dead, 837 days 238.6
TCGA-DD-AADB-01A 51 years, male, asian, stage:Stage I, alive, 1242 days 231.9
TCGA-DD-AAVY-01A 56 years, male, asian, stage:Stage IIIA, alive, 1970 days 225.5
TCGA-DD-A1EI-01A 46 years, male, asian, stage:Stage I, alive, 183 days 225.2
TCGA-DD-AAW2-01A 69 years, male, asian, stage:Stage I, alive, 1855 days 217.5
TCGA-DD-AAW0-01A 54 years, male, asian, stage:Stage I, alive, 2015 days 216.8
TCGA-EP-A2KC-01A 62 years, male, black or african american, stage:Stage I, dead, 19 days 214.7
TCGA-EP-A3JL-01A 76 years, male, white, stage:Stage I, alive, 303 days 207.5
TCGA-EP-A2KA-01A 52 years, female, white, stage:Stage IIIA, dead, 627 days 199.7
TCGA-FV-A3R3-01A 38 years, female, white, stage:Stage I, dead, 366 days 198.9
TCGA-G3-A25X-01A 73 years, male, asian, stage:Stage II, alive, 1779 days 191.9
TCGA-EP-A3RK-01A 73 years, male, white, stage:Stage IIIA, alive, 363 days 191.3
TCGA-DD-A4NO-01A 65 years, male, white, stage:Stage I, alive, 2245 days 187.2
TCGA-DD-A39V-01A 77 years, male, white, stage:Stage II, dead, 643 days 187.1
TCGA-CC-5262-01A 67 years, male, asian, stage:Stage IIIC, dead, 103 days 179.8
TCGA-CC-A5UD-01A 45 years, male, asian, stage:Stage IIIA, dead, 304 days 179.3
TCGA-DD-AADN-01A 59 years, male, asian, stage:Stage I, alive, 898 days 178.8
TCGA-CC-A1HT-01A 50 years, male, asian, stage:Stage IIIA, dead, 101 days 174.5
TCGA-G3-A3CH-01A 53 years, male, asian, stage:Stage IIIA, alive, 780 days 171.2
TCGA-ED-A7PZ-01A 61 years, male, asian, stage:Stage II, alive, 6 days 170.5
TCGA-2Y-A9H1-01A 58 years, male, white, stage:Stage I, dead, 1229 days 170.2
TCGA-DD-A73C-01A 65 years, female, white, stage:Stage IIIA, alive, 701 days 170.0
TCGA-DD-A3A2-01A 76 years, female, white, stage:Stage I, dead, 2131 days 169.8
TCGA-HP-A5MZ-01A 78 years, male, stage:Stage I, dead, 91 days 168.1
TCGA-RC-A7SK-01A 59 years, male, asian, stage:Stage I, alive, 472 days 167.8
TCGA-MR-A8JO-01A 34 years, male, white, stage:Stage I, alive, 330 days 162.4
TCGA-DD-AACO-01A 40 years, male, asian, stage:Stage I, alive, 1876 days 156.8
TCGA-ZS-A9CE-01A 79 years, female, white, stage:Stage II, alive, 1241 days 155.5
TCGA-FV-A2QQ-01A 80 years, male, white, stage:Stage I, alive, 729 days 155.2
TCGA-2Y-A9GY-01A 64 years, female, white, stage:Stage II, dead, 757 days 151.1
TCGA-DD-AADP-01A 45 years, male, asian, stage:Stage I, alive, 458 days 150.2
TCGA-BC-A8YO-01A 66 years, female, white, stage:Stage IIIC, alive, 562 days 146.7
TCGA-BC-A10Y-01A 76 years, male, white, stage:'--, dead, 711 days 146.0
TCGA-DD-AACP-01A 64 years, male, asian, stage:Stage I, alive, 415 days 145.2
TCGA-G3-AAV7-01A 38 years, male, asian, stage:Stage II, alive, 361 days 139.0
TCGA-DD-A4NR-01A 85 years, female, white, stage:Stage I, dead, 9 days 138.7
TCGA-DD-AACI-01A 69 years, male, asian, stage:Stage II, alive, 1618 days 137.8
TCGA-CC-A7IH-01A 58 years, male, asian, stage:Stage IIIA, alive, 365 days 131.2
TCGA-DD-AAVU-01A 46 years, male, asian, stage:Stage II, alive, 2202 days 130.5
TCGA-K7-A5RG-01A 66 years, male, black or african american, stage:Stage I, alive, 519 days 129.1
TCGA-BW-A5NO-01A 50 years, male, black or african american, stage:Stage IIIA, alive, 20 days 124.8
TCGA-DD-A3A1-01A 65 years, male, stage:Stage IIIA, dead, 233 days 118.1
TCGA-K7-AAU7-01A 61 years, male, white, stage:Stage II, alive, 359 days 116.8
TCGA-DD-A3A9-01A 64 years, female, white, stage:Stage IVB, dead, 931 days 116.6
TCGA-LG-A9QC-01A 48 years, male, white, stage:Stage I, alive, 425 days 114.7
TCGA-DD-AAD8-01A 73 years, female, asian, stage:Stage I, alive, 1219 days 110.6
TCGA-DD-AAD1-01A 51 years, female, asian, stage:Stage I, alive, 564 days 108.5
TCGA-DD-A4NA-01A 67 years, female, white, stage:Stage IIIC, alive, 1008 days 107.3
TCGA-G3-A5SJ-01A 59 years, male, white, stage:Stage I, alive, 698 days 106.1
TCGA-DD-AAE6-01A 59 years, female, asian, stage:Stage I, alive, 141 days 106.1
TCGA-CC-A3MC-01A 54 years, male, asian, stage:Stage IIIA, alive, 363 days 105.8
TCGA-CC-A8HV-01A 51 years, female, asian, stage:Stage II, dead, 279 days 104.8
TCGA-CC-A7IL-01A 61 years, male, asian, stage:Stage IIIA, dead, 278 days 101.8
TCGA-2Y-A9H2-01A 64 years, female, white, stage:Stage I, alive, 1731 days 101.0
TCGA-CC-A3MB-01A 36 years, male, asian, stage:Stage IIIA, dead, 315 days 98.8
TCGA-DD-AACH-01A 69 years, male, asian, stage:Stage II, dead, 195 days 97.0
TCGA-2Y-A9GW-01A 64 years, male, white, stage:Stage I, dead, 1271 days 96.9
TCGA-DD-AA3A-01A 81 years, female, white, stage:Stage I, dead, 410 days 95.0
TCGA-BC-A217-01A 75 years, female, white, stage:Stage II, dead, 1397 days 94.9
TCGA-DD-AACT-01A 69 years, female, asian, stage:Stage I, alive, 1562 days 93.6
TCGA-DD-A39W-01A 29 years, female, white, stage:Stage III, dead, 827 days 93.6
TCGA-DD-A3A3-01A 45 years, male, asian, stage:Stage I, dead, 535 days 93.1
TCGA-ZP-A9D4-01A 64 years, female, white, stage:'--, alive, 395 days 93.0
TCGA-XR-A8TC-01A 43 years, female, white, stage:Stage I, alive, 1339 days 92.1
TCGA-2Y-A9HB-01A 66 years, male, stage:Stage I, alive, 260 days 89.6
TCGA-DD-AAVR-01A 44 years, male, asian, stage:Stage I, alive, 2513 days 88.3
TCGA-ES-A2HS-01A 80 years, male, white, stage:Stage I, dead, 688 days 88.1
TCGA-DD-AAE9-01A 69 years, male, asian, stage:Stage I, alive, 722 days 87.7
TCGA-5C-AAPD-01A 61 years, male, asian, stage:Stage II, alive, 20 days 86.9
TCGA-ED-A82E-01A 60 years, female, asian, stage:Stage IIIA, alive, 408 days 84.9
TCGA-DD-AAE0-01A 45 years, female, asian, stage:Stage IIIA, alive, 555 days 84.1
TCGA-DD-A114-01A 42 years, male, black or african american, stage:Stage II, dead, 1149 days 83.4
TCGA-CC-A8HT-01A 74 years, male, asian, stage:Stage IIIA, dead, 140 days 82.6
TCGA-KR-A7K7-01A 61 years, female, white, stage:Stage II, alive, 951 days 82.1
TCGA-DD-A4NF-01A 72 years, male, white, stage:Stage I, alive, 942 days 81.9
TCGA-DD-AADM-01A 58 years, male, asian, stage:Stage II, dead, 12 days 81.8
TCGA-WX-AA44-01A 64 years, female, white, stage:Stage I, alive, 615 days 81.4
TCGA-MI-A75C-01A 64 years, male, white, stage:Stage I, alive, 291 days 81.0
TCGA-G3-A25S-01A 64 years, male, white, stage:Stage I, dead, 416 days 80.1
TCGA-CC-A9FW-01A 68 years, male, asian, stage:Stage IIIA, alive, 248 days 79.2
TCGA-BC-A216-01A 62 years, female, white, stage:Stage IIIA, alive, 1351 days 77.6
TCGA-CC-5263-01A 35 years, male, asian, stage:Stage IIIA, dead, 129 days 77.4
TCGA-G3-AAV3-01A 58 years, female, white, stage:Stage II, alive, 412 days 75.8
TCGA-CC-A7IG-01A 47 years, male, asian, stage:Stage II, dead, 299 days 75.2
TCGA-2Y-A9GS-01A 58 years, male, white, stage:'--, dead, 724 days 74.6
TCGA-DD-A3A5-01A 66 years, female, white, stage:Stage III, dead, 3125 days 74.5
TCGA-DD-AAD2-01A 66 years, male, asian, stage:Stage I, alive, 658 days 74.2
TCGA-DD-AAVP-01A 48 years, male, asian, stage:Stage I, alive, 2752 days 73.8
TCGA-O8-A75V-01A 54 years, male, stage:Stage I, alive, 538 days 72.3
TCGA-2Y-A9H4-01A 68 years, male, black or african american, stage:Stage I, alive, 1452 days 72.2
TCGA-DD-AACB-01A 74 years, female, asian, stage:Stage I, alive, 2324 days 69.7
TCGA-DD-A11C-01A 69 years, male, white, stage:Stage I, alive, 662 days 68.0
TCGA-BC-A10R-01A 66 years, female, white, stage:'--, dead, 308 days 64.9
TCGA-ZS-A9CF-01A 64 years, male, white, stage:Stage II, alive, 2412 days 64.2
TCGA-DD-A39X-01A 78 years, female, white, stage:Stage I, dead, 1694 days 62.6
TCGA-DD-A39Y-01A 67 years, male, asian, stage:Stage I, dead, 171 days 61.7
TCGA-ZP-A9CZ-01A 72 years, male, asian, stage:'--, alive, 706 days 60.4
TCGA-RC-A7S9-01A 47 years, female, asian, stage:Stage I, alive, 640 days 60.4
TCGA-XR-A8TE-01A 16 years, male, white, stage:Stage IIIA, alive, 925 days 59.1
TCGA-DD-AAEG-01A 59 years, female, asian, stage:Stage I, alive, 719 days 58.8
TCGA-DD-AAEI-01A 72 years, male, asian, stage:Stage I, alive, 1531 days 58.2
TCGA-DD-AADO-01A 55 years, male, asian, stage:Stage I, alive, 453 days 57.8
TCGA-RC-A7SF-01A 66 years, male, asian, stage:Stage I, alive, 579 days 56.9
TCGA-DD-A4NG-01A 77 years, male, white, stage:Stage IIIA, dead, 802 days 55.3
TCGA-RG-A7D4-01A 69 years, male, black or african american, stage:Stage II, alive, 1098 days 54.7
TCGA-G3-A25Y-01A 52 years, female, asian, stage:Stage I, dead, 452 days 54.2
TCGA-FV-A4ZP-01A 78 years, male, white, stage:Stage IIIA, dead, 2486 days 53.4
TCGA-T1-A6J8-01A 68 years, male, white, stage:'--, alive, 23 days 53.1
TCGA-DD-A11B-01A 73 years, male, white, stage:Stage I, dead, 14 days 52.3
TCGA-DD-A1EF-01A 57 years, female, white, stage:Stage I, dead, 394 days 51.9
TCGA-DD-A1EL-01A 23 years, male, black or african american, stage:Stage II, dead, 415 days 51.9
TCGA-DD-AAD0-01A 73 years, female, asian, stage:Stage I, alive, 137 days 50.9
TCGA-2Y-A9H6-01A 68 years, female, white, stage:Stage I, alive, 357 days 50.9
TCGA-DD-AADJ-01A 70 years, female, asian, stage:Stage I, alive, 1066 days 50.2
TCGA-ED-A7PX-01A 48 years, female, asian, stage:Stage II, alive, 6 days 49.8
TCGA-DD-A39Z-01A 43 years, female, stage:Stage II, dead, 601 days 48.7
TCGA-CC-A9FS-01A 55 years, male, asian, stage:Stage II, alive, 211 days 48.5
TCGA-DD-AAD3-01A 43 years, male, asian, stage:Stage I, alive, 1295 days 45.2
TCGA-DD-A1EG-01A 76 years, male, white, stage:Stage I, dead, 1372 days 45.1
TCGA-ED-A5KG-01A 60 years, female, asian, stage:Stage II, alive, 854 days 45.1
TCGA-UB-A7ME-01A 51 years, male, asian, stage:Stage I, alive, 486 days 44.0
TCGA-DD-AAVS-01A 56 years, male, asian, stage:Stage I, alive, 1823 days 43.0
TCGA-DD-A119-01A 40 years, male, asian, stage:Stage IV, dead, 223 days 42.7
TCGA-BC-A10Z-01A 62 years, female, white, stage:Stage I, dead, 34 days 42.1
TCGA-DD-A1EJ-01A 71 years, female, white, stage:Stage IIIC, dead, 1005 days 41.1
TCGA-DD-AADA-01A 66 years, female, asian, stage:Stage I, alive, 1233 days 39.8
TCGA-CC-5260-01A 61 years, female, asian, stage:Stage IIIC, dead, 87 days 39.6
TCGA-UB-A7MF-01A 56 years, male, white, stage:Stage IIIA, dead, 214 days 39.3
TCGA-MI-A75I-01A 61 years, male, black or african american, stage:'--, alive, 630 days 38.2
TCGA-DD-A73B-01A 72 years, female, white, stage:Stage I, dead, 283 days 37.0
TCGA-DD-AAVZ-01A 38 years, male, asian, stage:Stage I, alive, 1900 days 36.6
TCGA-DD-A4NH-01A 65 years, female, white, stage:Stage IIIB, alive, 917 days 36.5
TCGA-RC-A6M6-01A 75 years, male, white, stage:Stage II, alive, 9 days 35.7
TCGA-UB-A7MA-01A 62 years, female, white, stage:Stage II, alive, 848 days 34.7
TCGA-FV-A2QR-01A 75 years, male, white, stage:Stage I, dead, 581 days 34.5
TCGA-2Y-A9H7-01A 81 years, female, white, stage:Stage I, alive, 1168 days 34.3
TCGA-DD-AACZ-01A 63 years, female, asian, stage:Stage I, dead, 171 days 34.0
TCGA-DD-AAEH-01A 73 years, male, asian, stage:Stage I, alive, 784 days 33.1
TCGA-CC-A8HS-01A 18 years, male, asian, stage:Stage IIIC, dead, 300 days 31.9
TCGA-DD-AACU-01A 59 years, male, asian, stage:Stage I, alive, 1567 days 31.8
TCGA-KR-A7K2-01A 64 years, male, white, stage:Stage I, alive, 829 days 29.1
TCGA-ED-A8O6-01A 50 years, female, asian, stage:Stage IIIA, dead, 56 days 27.5
TCGA-DD-A3A7-01A 67 years, male, stage:Stage IIIB, dead, 419 days 26.7
TCGA-DD-A73G-01A 73 years, female, white, stage:Stage I, alive, 3478 days 26.6
TCGA-CC-A7IE-01A 57 years, male, asian, stage:Stage IIIA, dead, 217 days 26.0
TCGA-DD-AADW-01A 48 years, male, asian, stage:Stage I, alive, 587 days 25.6
TCGA-CC-5261-01A 44 years, male, asian, stage:Stage II, dead, 97 days 24.8
TCGA-RC-A7SH-01A 42 years, male, asian, stage:Stage II, alive, 468 days 24.6
TCGA-G3-AAV0-01A 58 years, male, asian, stage:Stage I, alive, 476 days 23.8
TCGA-DD-AADK-01A 68 years, female, asian, stage:Stage II, alive, 1049 days 22.6
TCGA-5C-A9VH-01A 70 years, male, white, stage:Stage I, alive, 322 days 22.5
TCGA-BC-A112-01A 80 years, male, white, stage:'--, dead, 153 days 22.3
TCGA-DD-AAVQ-01A 38 years, male, asian, stage:Stage I, alive, 2728 days 22.1
TCGA-2Y-A9H5-01A 59 years, female, white, stage:Stage I, dead, 555 days 22.1
TCGA-DD-AAVW-01A 35 years, male, asian, stage:Stage I, alive, 2317 days 22.0
TCGA-ZP-A9D0-01A 67 years, female, black or african american, stage:'--, alive, 1091 days 21.7
TCGA-CC-5258-01A 48 years, male, asian, stage:Stage II, dead, 129 days 21.7
TCGA-DD-AAC8-01A 72 years, male, asian, stage:Stage I, dead, 16 days 21.5
TCGA-FV-A23B-01A 70 years, female, white, stage:Stage II, dead, 1852 days 20.1
TCGA-DD-A4NE-01A 75 years, female, white, stage:Stage IIIA, dead, 660 days 19.6
TCGA-ED-A8O5-01A 59 years, female, asian, stage:Stage IIIA, alive, 406 days 17.8
TCGA-DD-AADI-01A 43 years, female, asian, stage:Stage I, alive, 1085 days 16.8
TCGA-BC-A3KG-01A 68 years, female, white, stage:Stage II, alive, 680 days 15.7
TCGA-2Y-A9H8-01A 85 years, female, white, stage:'--, dead, 633 days 15.2
TCGA-2Y-A9H3-01A 45 years, male, white, stage:Stage II, alive, 1516 days 14.4
TCGA-WJ-A86L-01A 68 years, female, white, stage:Stage I, alive, 345 days 13.8
TCGA-CC-A7IF-01A 59 years, male, asian, stage:Stage IIIA, dead, 649 days 13.8
TCGA-BC-A10Q-01A 72 years, female, white, stage:'--, dead, 1135 days 13.7
TCGA-ED-A66X-01A 35 years, male, asian, stage:Stage IIIA, alive, 406 days 13.1
TCGA-FV-A3I1-01A 81 years, female, white, stage:Stage II, dead, 247 days 12.9
TCGA-DD-AACY-01A 61 years, male, asian, stage:Stage I, alive, 1450 days 10.9
TCGA-DD-A1EH-01A 23 years, male, white, stage:Stage III, alive, 1495 days 9.9
TCGA-DD-AACS-01A 39 years, male, asian, stage:Stage I, alive, 1804 days 9.5
TCGA-DD-AACQ-01A 50 years, male, asian, stage:Stage II, dead, 432 days 8.4
TCGA-DD-A113-01A 55 years, female, white, stage:Stage II, alive, 2425 days 7.6
TCGA-G3-AAV6-01A 53 years, female, white, stage:Stage IIIA, dead, 65 days 7.6
TCGA-ED-A66Y-01A 51 years, female, asian, stage:Stage IIIA, dead, 296 days 7.6
TCGA-DD-A118-01A 77 years, female, white, stage:Stage II, alive, 3437 days 7.1
TCGA-QA-A7B7-01A 48 years, male, black or african american, stage:Stage II, alive, 94 days 6.5
TCGA-DD-AADY-01A 55 years, female, asian, stage:Stage I, alive, 555 days 5.4
TCGA-ED-A7PY-01A 20 years, female, asian, stage:Stage II, alive, 390 days 5.3
TCGA-DD-A4NN-01A 56 years, female, white, stage:Stage I, dead, 899 days 3.1
TCGA-2Y-A9GU-01A 55 years, female, white, stage:Stage I, alive, 1939 days 2.8
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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.

MT1X is potential prognostic, high expression is favorable in Liver Hepatocellular Carcinoma (validation)


Stage:
Survival analysis
Current cut offi

Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.

:
Best expression cut offi

Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .

When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.

: 71.41
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 528.1
Number of samples 231
Samples
Sample Description pTPM
DO48679 72 years, male, NA, stage:2, alive, 1200 days 13679.1
DO45195 62 years, male, NA, stage:1, alive, 390 days 9190.2
DO50803 62 years, female, NA, stage:1, alive, 540 days 8401.4
DO23541 65 years, male, NA, stage:2, alive, 930 days 7020.9
DO23544 67 years, male, NA, stage:2, alive, 960 days 5584.6
DO45285 59 years, male, NA, stage:3, alive, 480 days 2772.6
DO45171 56 years, male, NA, stage:3, alive, 600 days 2490.7
DO50802 49 years, male, NA, stage:2, alive, 930 days 2019.9
DO45215 65 years, male, NA, stage:2, alive, 1170 days 1967.5
DO48674 80 years, male, NA, stage:2, alive, 1260 days 1694.6
DO227643 79 years, male, NA, stage:2, alive, 1260 days 1640.6
DO45167 67 years, male, NA, stage:2, dead, 1440 days 1611.3
DO50818 65 years, male, NA, stage:2, alive, 510 days 1544.3
DO48715 58 years, female, NA, stage:2, dead, 690 days 1461.4
DO50819 72 years, female, NA, stage:2, alive, 510 days 1449.8
DO23551 73 years, male, NA, stage:3, dead, 150 days 1427.0
DO23530 53 years, male, NA, stage:4, dead, 180 days 1393.1
DO23517 62 years, male, NA, stage:2, alive, 1200 days 1198.4
DO45211 76 years, male, NA, stage:3, alive, 240 days 1115.4
DO50774 68 years, female, NA, stage:2, alive, 720 days 1091.6
DO50809 56 years, male, NA, stage:3, dead, 720 days 1059.8
DO48742 76 years, male, NA, stage:2, alive, 600 days 1042.5
DO23525 71 years, male, NA, stage:4, alive, 1050 days 1005.0
DO23531 78 years, female, NA, stage:3, alive, 900 days 993.9
DO50832 73 years, male, NA, stage:3, alive, 90 days 985.4
DO45173 63 years, male, NA, stage:3, alive, 1170 days 960.9
DO227801 77 years, female, NA, stage:1, alive, 660 days 959.3
DO45277 64 years, male, NA, stage:3, alive, 600 days 939.9
DO45143 69 years, male, NA, stage:3, alive, 1290 days 935.2
DO48693 71 years, male, NA, stage:2, alive, 900 days 933.3
DO45094 76 years, male, NA, stage:3, alive, 1650 days 928.8
DO45191 61 years, female, NA, stage:2, alive, 1200 days 916.3
DO50800 74 years, male, NA, stage:2, alive, 510 days 913.6
DO45255 81 years, male, NA, stage:3, alive, 720 days 903.7
DO50817 75 years, male, NA, stage:2, alive, 390 days 899.8
DO50778 60 years, male, NA, stage:4, alive, 630 days 884.3
DO50850 74 years, male, NA, stage:3, alive, 720 days 872.9
DO45109 63 years, male, NA, stage:2, alive, 1590 days 825.9
DO23539 77 years, male, NA, stage:1, alive, 1110 days 821.9
DO50822 66 years, male, NA, stage:2, alive, 510 days 785.3
DO45129 61 years, male, NA, stage:3, alive, 1470 days 768.0
DO23547 74 years, male, NA, stage:1, alive, 1020 days 740.1
DO45105 61 years, male, NA, stage:1, alive, 1680 days 689.9
DO50807 67 years, male, NA, stage:1, alive, 540 days 654.0
DO50787 63 years, male, NA, stage:3, alive, 480 days 634.2
DO48725 66 years, male, NA, stage:1, alive, 780 days 615.2
DO23509 60 years, male, NA, stage:3, dead, 780 days 608.6
DO45261 74 years, male, NA, stage:3, alive, 990 days 576.1
DO48716 71 years, male, NA, stage:2, alive, 720 days 567.7
DO45153 77 years, female, NA, stage:2, alive, 1380 days 567.0
DO45135 77 years, male, NA, stage:1, alive, 1410 days 546.1
DO48721 58 years, female, NA, stage:1, alive, 900 days 541.7
DO45181 84 years, female, NA, stage:2, alive, 1200 days 539.4
DO45229 74 years, male, NA, stage:1, alive, 990 days 516.7
DO45139 63 years, male, NA, stage:3, alive, 1320 days 505.2
DO48706 72 years, male, NA, stage:2, alive, 870 days 502.9
DO50805 72 years, male, NA, stage:2, alive, 690 days 502.3
DO48760 70 years, female, NA, stage:2, alive, 690 days 482.9
DO50813 56 years, male, NA, stage:2, alive, 420 days 473.9
DO45251 57 years, female, NA, stage:2, alive, 900 days 461.5
DO45197 51 years, male, NA, stage:2, alive, 1170 days 456.2
DO23536 56 years, male, NA, stage:2, alive, 930 days 450.3
DO50829 78 years, male, NA, stage:3, alive, 570 days 427.1
DO45111 74 years, male, NA, stage:2, alive, 1590 days 418.3
DO48700 78 years, female, NA, stage:2, alive, 810 days 411.0
DO48733 72 years, male, NA, stage:2, alive, 600 days 406.1
DO45237 58 years, male, NA, stage:2, alive, 900 days 402.0
DO23535 67 years, male, NA, stage:1, alive, 960 days 397.3
DO23514 64 years, male, NA, stage:2, alive, 1290 days 387.8
DO45301 56 years, male, NA, stage:2, dead, 1440 days 384.9
DO45141 73 years, male, NA, stage:2, alive, 1320 days 382.5
DO48747 62 years, male, NA, stage:3, alive, 540 days 379.1
DO45157 62 years, male, NA, stage:2, alive, 1980 days 373.5
DO48723 73 years, male, NA, stage:1, alive, 600 days 365.5
DO45101 63 years, male, NA, stage:2, alive, 1680 days 364.7
DO23552 80 years, female, NA, stage:1, alive, 810 days 339.1
DO45249 57 years, male, NA, stage:1, alive, 630 days 332.4
DO45263 67 years, male, NA, stage:3, dead, 270 days 331.9
DO45243 74 years, female, NA, stage:3, alive, 930 days 323.4
DO45125 58 years, male, NA, stage:3, alive, 1680 days 298.7
DO23516 69 years, male, NA, stage:3, dead, 20 days 298.5
DO23527 72 years, male, NA, stage:1, alive, 1050 days 295.1
DO23542 66 years, male, NA, stage:3, alive, 960 days 294.2
DO48759 73 years, male, NA, stage:3, alive, 720 days 291.9
DO45177 81 years, female, NA, stage:3, alive, 1260 days 289.3
DO45235 68 years, female, NA, stage:1, alive, 900 days 288.4
DO23549 74 years, male, NA, stage:3, alive, 990 days 288.4
DO48741 64 years, male, NA, stage:3, alive, 240 days 287.8
DO45231 84 years, male, NA, stage:2, alive, 930 days 286.4
DO23534 60 years, male, NA, stage:2, alive, 840 days 278.1
DO48695 77 years, male, NA, stage:2, alive, 720 days 272.8
DO45133 64 years, male, NA, stage:3, dead, 660 days 271.7
DO50814 83 years, male, NA, stage:3, alive, 420 days 267.5
DO48677 58 years, male, NA, stage:3, alive, 1140 days 265.1
DO45175 74 years, male, NA, stage:2, alive, 1140 days 259.6
DO45179 78 years, female, NA, stage:2, alive, 600 days 250.3
DO45305 66 years, male, NA, stage:4, alive, 300 days 249.2
DO45273 62 years, male, NA, stage:2, alive, 480 days 233.6
DO23548 78 years, female, NA, stage:1, alive, 840 days 230.8
DO23524 71 years, female, NA, stage:2, alive, 1050 days 212.7
DO45281 83 years, male, NA, stage:4, alive, 750 days 211.8
DO45233 83 years, male, NA, stage:3, alive, 900 days 211.4
DO50776 75 years, male, NA, stage:1, alive, 690 days 208.2
DO50825 70 years, male, NA, stage:2, alive, 390 days 205.1
DO50785 37 years, male, NA, stage:4, dead, 90 days 204.7
DO45307 54 years, female, NA, stage:4, dead, 240 days 200.1
DO48730 73 years, female, NA, stage:2, alive, 630 days 200.1
DO45223 67 years, male, NA, stage:4, alive, 1020 days 198.6
DO45155 69 years, male, NA, stage:2, alive, 2160 days 194.2
DO45297 61 years, female, NA, stage:4, dead, 1260 days 193.3
DO45131 53 years, male, NA, stage:4, dead, 360 days 187.3
DO45165 75 years, male, NA, stage:2, alive, 690 days 180.0
DO23543 63 years, male, NA, stage:2, alive, 1020 days 175.9
DO23513 76 years, male, NA, stage:3, alive, 1200 days 174.4
DO48719 80 years, male, NA, stage:2, alive, 690 days 172.5
DO45117 73 years, female, NA, stage:2, dead, 1110 days 164.9
DO23523 52 years, male, NA, stage:3, alive, 1080 days 156.7
DO23512 60 years, male, NA, stage:1, alive, 1260 days 151.8
DO48720 62 years, female, NA, stage:2, alive, 570 days 138.7
DO48746 76 years, male, NA, stage:3, alive, 570 days 137.8
DO45213 58 years, male, NA, stage:1, alive, 1200 days 135.4
DO45221 75 years, female, NA, stage:4, dead, 390 days 133.8
DO50859 77 years, male, NA, stage:2, alive, 180 days 131.8
DO23508 79 years, female, NA, stage:2, alive, 390 days 131.1
DO50789 73 years, female, NA, stage:2, alive, 570 days 130.0
DO45207 68 years, male, NA, stage:1, alive, 1050 days 127.8
DO23533 61 years, male, NA, stage:2, alive, 900 days 127.6
DO48743 69 years, female, NA, stage:2, alive, 570 days 119.8
DO23510 80 years, female, NA, stage:2, alive, 870 days 119.7
DO23538 67 years, male, NA, stage:2, alive, 450 days 118.8
DO45095 66 years, male, NA, stage:2, alive, 1620 days 118.5
DO23529 72 years, male, NA, stage:4, alive, 930 days 116.8
DO50816 63 years, male, NA, stage:2, alive, 390 days 115.7
DO48737 52 years, male, NA, stage:1, alive, 720 days 115.6
DO45289 78 years, female, NA, stage:3, alive, 360 days 112.4
DO50791 79 years, female, NA, stage:1, dead, 480 days 111.8
DO45201 49 years, male, NA, stage:1, alive, 900 days 111.3
DO50808 68 years, male, NA, stage:2, alive, 570 days 107.6
DO48701 78 years, male, NA, stage:2, alive, 780 days 103.4
DO48697 64 years, female, NA, stage:2, dead, 810 days 101.9
DO45283 60 years, male, NA, stage:3, alive, 510 days 100.7
DO23550 69 years, male, NA, stage:1, alive, 990 days 95.6
DO45183 72 years, female, NA, stage:2, dead, 570 days 95.2
DO23526 66 years, male, NA, stage:3, alive, 1050 days 94.9
DO45269 59 years, male, NA, stage:3, alive, 750 days 93.5
DO45209 70 years, male, NA, stage:4, alive, 1350 days 92.2
DO50839 47 years, female, NA, stage:3, alive, 330 days 91.5
DO45287 74 years, male, NA, stage:1, alive, 390 days 91.1
DO45185 89 years, male, NA, stage:2, alive, 600 days 89.3
DO45107 63 years, female, NA, stage:2, alive, 1710 days 85.4
DO45265 73 years, male, NA, stage:3, alive, 1020 days 83.8
DO48757 68 years, female, NA, stage:3, alive, 480 days 79.9
DO48728 74 years, female, NA, stage:2, alive, 150 days 79.3
DO48761 55 years, male, NA, stage:2, alive, 870 days 76.6
DO23518 67 years, male, NA, stage:2, alive, 1320 days 76.1
DO23532 71 years, female, NA, stage:1, alive, 960 days 75.5
DO45187 32 years, female, NA, stage:1, alive, 1260 days 72.0
DO45161 74 years, male, NA, stage:2, dead, 540 days 70.8
DO48727 81 years, female, NA, stage:2, dead, 390 days 70.3
DO50798 77 years, male, NA, stage:3, dead, 30 days 70.1
DO23546 63 years, male, NA, stage:2, alive, 1050 days 69.5
DO45257 46 years, male, NA, stage:3, alive, 810 days 68.4
DO45163 76 years, male, NA, stage:2, alive, 960 days 68.2
DO50815 62 years, male, NA, stage:3, alive, 150 days 67.7
DO45267 73 years, male, NA, stage:3, dead, 570 days 66.5
DO23545 67 years, male, NA, stage:2, dead, 570 days 62.6
DO45199 86 years, female, NA, stage:2, alive, 1350 days 61.3
DO48681 57 years, male, NA, stage:2, alive, 900 days 60.2
DO45193 68 years, female, NA, stage:4, dead, 120 days 59.7
DO45092 62 years, male, NA, stage:4, dead, 1200 days 59.5
DO45103 47 years, male, NA, stage:3, alive, 450 days 58.5
DO50799 66 years, female, NA, stage:2, alive, 540 days 57.3
DO45097 69 years, male, NA, stage:3, alive, 1620 days 57.0
DO45115 81 years, male, NA, stage:2, alive, 840 days 56.3
DO45217 69 years, female, NA, stage:3, dead, 270 days 54.7
DO50820 77 years, female, NA, stage:3, alive, 510 days 53.9
DO23521 63 years, male, NA, stage:3, alive, 1110 days 53.7
DO48717 54 years, male, NA, stage:4, dead, 180 days 46.7
DO45145 78 years, male, NA, stage:3, dead, 60 days 46.3
DO45299 70 years, female, NA, stage:1, alive, 1440 days 45.5
DO45219 78 years, male, NA, stage:2, alive, 1080 days 45.5
DO48682 72 years, female, NA, stage:3, dead, 120 days 44.9
DO50806 70 years, male, NA, stage:4, alive, 540 days 44.7
DO45279 67 years, male, NA, stage:3, alive, 1290 days 44.3
DO50845 72 years, male, NA, stage:3, alive, 210 days 44.1
DO45303 62 years, female, NA, stage:3, alive, 990 days 39.9
DO48732 73 years, male, NA, stage:3, alive, 630 days 38.2
DO45227 57 years, female, NA, stage:2, alive, 1020 days 38.0
DO45137 38 years, male, NA, stage:1, alive, 1320 days 37.8
DO45253 50 years, male, NA, stage:2, alive, 870 days 37.5
DO48672 81 years, male, NA, stage:2, alive, 450 days 36.2
DO45099 46 years, male, NA, stage:3, alive, 1590 days 36.0
DO50783 62 years, male, NA, stage:3, alive, 480 days 34.9
DO45159 65 years, male, NA, stage:3, alive, 1470 days 33.5
DO45091 56 years, male, NA, stage:2, dead, 1320 days 32.5
DO23519 65 years, male, NA, stage:3, alive, 630 days 31.7
DO45113 58 years, male, NA, stage:3, alive, 1560 days 30.8
DO45241 49 years, male, NA, stage:1, alive, 1080 days 30.3
DO23540 73 years, male, NA, stage:1, alive, 750 days 29.3
DO45275 65 years, male, NA, stage:3, dead, 10 days 29.1
DO45169 74 years, male, NA, stage:3, alive, 1350 days 28.6
DO45123 78 years, female, NA, stage:2, dead, 570 days 28.1
DO45239 42 years, male, NA, stage:2, alive, 870 days 26.8
DO50793 76 years, male, NA, stage:4, alive, 540 days 26.5
DO50857 72 years, male, NA, stage:2, alive, 210 days 26.4
DO45225 69 years, male, NA, stage:1, alive, 1050 days 26.3
DO45205 67 years, female, NA, stage:2, dead, 90 days 25.8
DO45127 73 years, male, NA, stage:3, dead, 420 days 23.5
DO23515 71 years, male, NA, stage:2, alive, 1230 days 22.3
DO48736 76 years, female, NA, stage:1, alive, 600 days 21.8
DO45245 75 years, female, NA, stage:2, dead, 240 days 20.2
DO45119 74 years, male, NA, stage:3, dead, 510 days 20.1
DO45096 69 years, male, NA, stage:2, dead, 1290 days 18.8
DO45093 71 years, male, NA, stage:2, dead, 720 days 18.8
DO48704 68 years, female, NA, stage:3, alive, 750 days 17.0
DO23511 83 years, female, NA, stage:3, dead, 180 days 16.7
DO45247 31 years, female, NA, stage:2, alive, 210 days 15.7
DO50855 47 years, male, NA, stage:2, alive, 570 days 14.6
DO48712 50 years, male, NA, stage:2, alive, 810 days 12.7
DO50811 62 years, male, NA, stage:1, alive, 450 days 10.2
DO23537 79 years, male, NA, stage:2, dead, 900 days 9.9
DO50804 81 years, male, NA, stage:2, alive, 720 days 9.7
DO50844 75 years, male, NA, stage:4, alive, 300 days 8.9
DO45203 71 years, female, NA, stage:2, alive, 1170 days 8.5
DO45259 65 years, male, NA, stage:3, alive, 330 days 7.7
DO48751 68 years, male, NA, stage:2, dead, 480 days 7.1
DO45189 85 years, female, NA, stage:2, alive, 1200 days 7.0
DO45149 70 years, female, NA, stage:2, alive, 1260 days 6.6
DO45121 61 years, male, NA, stage:3, alive, 1530 days 3.9
DO50840 49 years, male, NA, stage:2, alive, 330 days 1.8
DO23528 45 years, female, NA, stage:2, alive, 1020 days 1.3
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LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples 330
Samples
Sample ID Sample type nRPX
415 Tumor 4.6
617 Tumor 4.2
451 Tumor 3.2
113 Tumor 2.7
554 Normal 2.6
937 Tumor 2.3
488 Normal 2.2
484 Normal 2.1
714 Normal 1.7
878 Normal 1.6
528 Normal 1.5
534 Normal 1.5
918 Normal 1.3
482 Normal 1.3
518 Normal 1.3
744 Normal 1.2
955 Tumor 1.2
866 Normal 1.1
698 Normal 1.1
472 Normal 1.1
778 Normal 1.1
746 Normal 1.1
286 Normal 1.0
462 Normal 1.0
982 Normal 0.9
968 Normal 0.9
738 Normal 0.9
723 Tumor 0.8
298 Normal 0.8
1014 Normal 0.8
858 Normal 0.8
745 Tumor 0.7
882 Normal 0.7
538 Normal 0.7
686 Normal 0.7
196 Normal 0.6
218 Normal 0.6
818 Normal 0.6
926 Normal 0.5
228 Normal 0.5
568 Normal 0.5
376 Normal 0.5
952 Normal 0.5
353 Tumor 0.5
944 Normal 0.5
564 Normal 0.5
984 Normal 0.5
513 Tumor 0.4
524 Normal 0.4
966 Normal 0.4
526 Normal 0.4
356 Normal 0.4
636 Normal 0.4
922 Normal 0.3
412 Normal 0.3
938 Normal 0.3
1028 Normal 0.3
416 Normal 0.3
786 Normal 0.3
474 Normal 0.3
1032 Normal 0.3
498 Normal 0.3
976 Normal 0.3
227 Tumor 0.2
1026 Normal 0.2
964 Normal 0.2
1016 Normal 0.2
1022 Normal 0.2
148 Normal 0.2
426 Normal 0.2
664 Normal 0.2
816 Normal 0.1
492 Normal 0.1
494 Normal 0.1
546 Normal 0.1
618 Normal 0.1
278 Normal 0.1
352 Normal 0.1
696 Normal 0.1
737 Tumor 0.1
411 Tumor 0.0
574 Normal 0.0
514 Normal 0.0
884 Normal 0.0
861 Tumor 0.0
824 Normal -0.1
958 Normal -0.1
446 Normal -0.1
536 Normal -0.1
214 Normal -0.1
572 Normal -0.1
851 Tumor -0.1
232 Normal -0.1
362 Normal -0.1
716 Normal -0.1
874 Normal -0.2
914 Normal -0.2
516 Normal -0.2
396 Normal -0.2
327 Tumor -0.2
742 Normal -0.2
642 Normal -0.2
862 Normal -0.2
448 Normal -0.2
394 Normal -0.3
222 Normal -0.3
422 Normal -0.3
981 Tumor -0.3
162 Normal -0.3
428 Normal -0.4
456 Normal -0.4
191 Tumor -0.4
328 Normal -0.4
1046 Normal -0.4
436 Normal -0.4
722 Normal -0.4
364 Normal -0.4
628 Normal -0.4
114 Normal -0.5
468 Normal -0.5
916 Normal -0.5
756 Normal -0.5
111 Normal -0.5
728 Normal -0.5
224 Normal -0.5
332 Normal -0.6
864 Normal -0.6
558 Normal -0.6
363 Tumor -0.6
627 Tumor -0.6
212 Normal -0.6
128 Normal -0.7
466 Normal -0.7
217 Tumor -0.7
917 Tumor -0.7
138 Normal -0.7
431 Tumor -0.7
258 Normal -0.7
142 Normal -0.7
1015 Tumor -0.7
491 Tumor -0.7
136 Normal -0.7
977 Tumor -0.7
956 Normal -0.7
648 Normal -0.7
314 Normal -0.8
666 Normal -0.8
342 Normal -0.8
452 Normal -0.8
755 Tumor -0.8
616 Normal -0.8
478 Normal -0.8
911 Tumor -0.8
146 Normal -0.9
272 Normal -0.9
355 Tumor -0.9
414 Normal -0.9
284 Normal -0.9
467 Tumor -0.9
344 Normal -0.9
186 Normal -0.9
464 Normal -0.9
126 Normal -0.9
924 Normal -1.0
967 Tumor -1.0
823 Tumor -1.0
615 Tumor -1.0
1041 Tumor -1.1
432 Normal -1.1
124 Normal -1.1
392 Normal -1.1
195 Tumor -1.1
865 Tumor -1.1
957 Tumor -1.1
132 Normal -1.2
262 Normal -1.2
954 Normal -1.2
868 Normal -1.2
145 Tumor -1.2
312 Normal -1.2
434 Normal -1.3
444 Normal -1.3
424 Normal -1.3
1043 Tumor -1.3
192 Normal -1.3
112 Tumor -1.3
172 Normal -1.3
563 Tumor -1.3
386 Normal -1.4
881 Tumor -1.4
223 Tumor -1.4
965 Tumor -1.4
715 Tumor -1.4
925 Tumor -1.4
857 Tumor -1.4
497 Tumor -1.4
1044 Normal -1.4
365 Tumor -1.4
368 Normal -1.4
963 Tumor -1.4
268 Normal -1.4
662 Normal -1.4
455 Tumor -1.5
358 Normal -1.5
477 Tumor -1.5
427 Tumor -1.5
814 Normal -1.5
283 Tumor -1.5
383 Tumor -1.5
423 Tumor -1.5
943 Tumor -1.6
461 Tumor -1.6
384 Normal -1.6
672 Normal -1.6
978 Normal -1.6
635 Tumor -1.6
483 Tumor -1.7
915 Tumor -1.7
727 Tumor -1.7
221 Tumor -1.7
421 Tumor -1.7
211 Tumor -1.7
983 Tumor -1.8
366 Normal -1.8
527 Tumor -1.8
975 Tumor -1.8
641 Tumor -1.8
877 Tumor -1.8
721 Tumor -1.9
465 Tumor -1.9
463 Tumor -1.9
493 Tumor -1.9
741 Tumor -1.9
1025 Tumor -2.0
137 Tumor -2.0
951 Tumor -2.0
125 Tumor -2.0
147 Tumor -2.0
188 Normal -2.0
517 Tumor -2.0
852 Normal -2.0
433 Tumor -2.0
813 Tumor -2.0
525 Tumor -2.0
447 Tumor -2.0
213 Tumor -2.1
883 Tumor -2.1
127 Tumor -2.1
1045 Tumor -2.1
123 Tumor -2.2
697 Tumor -2.2
1042 Normal -2.2
354 Normal -2.2
487 Tumor -2.2
425 Tumor -2.2
785 Tumor -2.2
388 Normal -2.3
817 Tumor -2.3
473 Tumor -2.3
553 Tumor -2.3
867 Tumor -2.3
953 Tumor -2.4
413 Tumor -2.4
1031 Tumor -2.4
481 Tumor -2.5
297 Tumor -2.5
873 Tumor -2.5
135 Tumor -2.5
537 Tumor -2.5
277 Tumor -2.5
533 Tumor -2.6
777 Tumor -2.6
545 Tumor -2.6
713 Tumor -2.7
913 Tumor -2.7
535 Tumor -2.8
724 Normal -2.8
391 Tumor -2.8
923 Tumor -2.8
523 Tumor -2.8
443 Tumor -2.8
921 Tumor -2.8
515 Tumor -2.9
361 Tumor -2.9
311 Tumor -2.9
341 Tumor -2.9
1013 Tumor -2.9
185 Tumor -2.9
912 Normal -3.0
161 Tumor -3.0
685 Tumor -3.0
187 Tumor -3.0
567 Tumor -3.0
141 Tumor -3.0
571 Tumor -3.1
557 Tumor -3.1
331 Tumor -3.1
471 Tumor -3.2
261 Tumor -3.2
343 Tumor -3.2
285 Tumor -3.2
435 Tumor -3.2
351 Tumor -3.2
267 Tumor -3.2
357 Tumor -3.3
815 Tumor -3.3
743 Tumor -3.3
573 Tumor -3.4
131 Tumor -3.4
313 Tumor -3.4
695 Tumor -3.5
171 Tumor -3.5
661 Tumor -3.5
665 Tumor -3.6
445 Tumor -3.6
375 Tumor -3.8
863 Tumor -3.8
663 Tumor -3.9
257 Tumor -3.9
1027 Tumor -3.9
393 Tumor -4.0
387 Tumor -4.0
367 Tumor -4.1
1021 Tumor -4.2
671 Tumor -4.3
647 Tumor -4.4
395 Tumor -4.4
385 Tumor -4.5
231 Tumor -4.6
271 Tumor -4.8
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.

Pending cancer tissue analysis

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