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RPL37
HPA
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  • RPL37
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.

RPL37 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.

: 610.7
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 516.5
Number of samples 362
Samples
Sample Description pTPM
TCGA-CC-A7II-01A 54 years, male, asian, stage:Stage IIIA, alive, 399 days 1841.9
TCGA-DD-AAD5-01A 54 years, male, asian, stage:Stage I, alive, 1345 days 1544.4
TCGA-FV-A3I0-01A 76 years, female, white, stage:Stage II, alive, 848 days 1448.5
TCGA-DD-AAVU-01A 46 years, male, asian, stage:Stage II, alive, 2202 days 1414.9
TCGA-CC-A7IG-01A 47 years, male, asian, stage:Stage II, dead, 299 days 1414.0
TCGA-DD-AACP-01A 64 years, male, asian, stage:Stage I, alive, 415 days 1340.9
TCGA-BW-A5NO-01A 50 years, male, black or african american, stage:Stage IIIA, alive, 20 days 1311.5
TCGA-G3-AAV6-01A 53 years, female, white, stage:Stage IIIA, dead, 65 days 1262.1
TCGA-DD-AA3A-01A 81 years, female, white, stage:Stage I, dead, 410 days 1248.1
TCGA-DD-AACG-01A 52 years, male, asian, stage:Stage II, dead, 469 days 1237.9
TCGA-DD-AACN-01A 32 years, male, asian, stage:Stage I, alive, 1302 days 1236.0
TCGA-G3-A7M9-01A 70 years, male, white, stage:Stage IIIB, dead, 56 days 1235.1
TCGA-UB-A7MA-01A 62 years, female, white, stage:Stage II, alive, 848 days 1200.7
TCGA-KR-A7K7-01A 61 years, female, white, stage:Stage II, alive, 951 days 1164.1
TCGA-DD-AAE0-01A 45 years, female, asian, stage:Stage IIIA, alive, 555 days 1161.8
TCGA-DD-AAED-01A 51 years, male, asian, stage:Stage I, alive, 763 days 1152.7
TCGA-DD-AACZ-01A 63 years, female, asian, stage:Stage I, dead, 171 days 1142.0
TCGA-ED-A8O6-01A 50 years, female, asian, stage:Stage IIIA, dead, 56 days 1128.5
TCGA-RG-A7D4-01A 69 years, male, black or african american, stage:Stage II, alive, 1098 days 1127.9
TCGA-BC-A69H-01A 64 years, male, white, stage:Stage II, alive, 444 days 1118.9
TCGA-DD-AADC-01A 53 years, male, asian, stage:Stage I, dead, 425 days 1075.4
TCGA-MI-A75C-01A 64 years, male, white, stage:Stage I, alive, 291 days 1017.9
TCGA-DD-AADQ-01A 59 years, male, asian, stage:Stage II, alive, 436 days 1016.5
TCGA-DD-AACB-01A 74 years, female, asian, stage:Stage I, alive, 2324 days 998.3
TCGA-FV-A4ZQ-01A 52 years, male, white, stage:Stage I, alive, 12 days 981.1
TCGA-UB-A7MB-01A 24 years, male, white, stage:Stage II, alive, 601 days 975.7
TCGA-DD-AACJ-01A 75 years, male, asian, stage:Stage II, alive, 2102 days 966.2
TCGA-DD-AAC8-01A 72 years, male, asian, stage:Stage I, dead, 16 days 963.7
TCGA-FV-A4ZP-01A 78 years, male, white, stage:Stage IIIA, dead, 2486 days 955.7
TCGA-MI-A75H-01A 77 years, male, white, stage:'--, alive, 747 days 952.8
TCGA-DD-AADI-01A 43 years, female, asian, stage:Stage I, alive, 1085 days 945.0
TCGA-G3-AAV5-01A 67 years, male, white, stage:Stage II, alive, 354 days 939.0
TCGA-ZP-A9D2-01A 51 years, male, white, stage:'--, dead, 765 days 921.9
TCGA-DD-AACW-01A 43 years, male, asian, stage:Stage I, alive, 1424 days 901.9
TCGA-UB-A7MF-01A 56 years, male, white, stage:Stage IIIA, dead, 214 days 895.6
TCGA-RC-A6M6-01A 75 years, male, white, stage:Stage II, alive, 9 days 894.2
TCGA-CC-A1HT-01A 50 years, male, asian, stage:Stage IIIA, dead, 101 days 879.4
TCGA-YA-A8S7-01A 68 years, male, white, stage:Stage IIIA, dead, 412 days 879.4
TCGA-5C-A9VG-01A 58 years, male, white, stage:Stage II, alive, 328 days 874.6
TCGA-CC-A9FW-01A 68 years, male, asian, stage:Stage IIIA, alive, 248 days 873.7
TCGA-CC-A7IE-01A 57 years, male, asian, stage:Stage IIIA, dead, 217 days 856.4
TCGA-FV-A495-01A 51 years, female, white, stage:Stage II, alive, 1 days 849.5
TCGA-G3-A25X-01A 73 years, male, asian, stage:Stage II, alive, 1779 days 849.4
TCGA-G3-A7M6-01A 60 years, female, white, stage:Stage I, alive, 632 days 838.3
TCGA-DD-AACA-01A 65 years, male, asian, stage:Stage I, alive, 2301 days 829.2
TCGA-ED-A8O5-01A 59 years, female, asian, stage:Stage IIIA, alive, 406 days 828.3
TCGA-BC-A112-01A 80 years, male, white, stage:'--, dead, 153 days 818.6
TCGA-MI-A75G-01A 63 years, male, white, stage:Stage II, alive, 698 days 817.7
TCGA-DD-AADW-01A 48 years, male, asian, stage:Stage I, alive, 587 days 801.4
TCGA-DD-AAE3-01A 50 years, male, asian, stage:Stage I, alive, 566 days 799.3
TCGA-CC-A7IK-01A 59 years, male, asian, stage:Stage IIIA, dead, 262 days 799.0
TCGA-DD-AACF-01A 68 years, male, asian, stage:Stage I, dead, 365 days 795.7
TCGA-CC-A5UD-01A 45 years, male, asian, stage:Stage IIIA, dead, 304 days 790.4
TCGA-DD-AADP-01A 45 years, male, asian, stage:Stage I, alive, 458 days 789.1
TCGA-DD-AAD8-01A 73 years, female, asian, stage:Stage I, alive, 1219 days 782.5
TCGA-CC-A8HU-01A 39 years, female, asian, stage:Stage IIIA, dead, 344 days 778.5
TCGA-CC-A5UE-01A 48 years, male, asian, stage:Stage IIIB, dead, 272 days 770.8
TCGA-2Y-A9H7-01A 81 years, female, white, stage:Stage I, alive, 1168 days 770.2
TCGA-UB-A7ME-01A 51 years, male, asian, stage:Stage I, alive, 486 days 769.5
TCGA-DD-AADN-01A 59 years, male, asian, stage:Stage I, alive, 898 days 769.4
TCGA-G3-A7M5-01A 76 years, male, asian, stage:Stage I, alive, 447 days 766.4
TCGA-G3-AAV2-01A 50 years, male, white, stage:Stage I, alive, 372 days 763.6
TCGA-DD-AAW2-01A 69 years, male, asian, stage:Stage I, alive, 1855 days 761.0
TCGA-RC-A7S9-01A 47 years, female, asian, stage:Stage I, alive, 640 days 760.9
TCGA-CC-A5UC-01A 63 years, male, asian, stage:Stage IIIA, dead, 347 days 758.3
TCGA-2Y-A9HB-01A 66 years, male, stage:Stage I, alive, 260 days 757.4
TCGA-DD-AADV-01A 50 years, male, asian, stage:Stage I, alive, 574 days 753.7
TCGA-XR-A8TF-01A 74 years, male, white, stage:Stage I, dead, 693 days 746.3
TCGA-DD-A73G-01A 73 years, female, white, stage:Stage I, alive, 3478 days 744.7
TCGA-CC-5264-01A 71 years, male, asian, stage:Stage IIIA, dead, 102 days 736.1
TCGA-ED-A5KG-01A 60 years, female, asian, stage:Stage II, alive, 854 days 728.9
TCGA-DD-A3A7-01A 67 years, male, stage:Stage IIIB, dead, 419 days 727.4
TCGA-DD-A4NN-01A 56 years, female, white, stage:Stage I, dead, 899 days 720.9
TCGA-3K-AAZ8-01A 65 years, male, black or african american, stage:Stage IIIB, alive, 396 days 720.4
TCGA-CC-A7IL-01A 61 years, male, asian, stage:Stage IIIA, dead, 278 days 717.9
TCGA-DD-A3A3-01A 45 years, male, asian, stage:Stage I, dead, 535 days 716.5
TCGA-ED-A7PZ-01A 61 years, male, asian, stage:Stage II, alive, 6 days 715.2
TCGA-DD-A3A9-01A 64 years, female, white, stage:Stage IVB, dead, 931 days 712.3
TCGA-KR-A7K2-01A 64 years, male, white, stage:Stage I, alive, 829 days 702.0
TCGA-DD-AACY-01A 61 years, male, asian, stage:Stage I, alive, 1450 days 698.3
TCGA-DD-AAEG-01A 59 years, female, asian, stage:Stage I, alive, 719 days 698.3
TCGA-O8-A75V-01A 54 years, male, stage:Stage I, alive, 538 days 696.9
TCGA-DD-A39V-01A 77 years, male, white, stage:Stage II, dead, 643 days 693.6
TCGA-CC-5263-01A 35 years, male, asian, stage:Stage IIIA, dead, 129 days 685.7
TCGA-DD-AADO-01A 55 years, male, asian, stage:Stage I, alive, 453 days 673.9
TCGA-ED-A66Y-01A 51 years, female, asian, stage:Stage IIIA, dead, 296 days 672.6
TCGA-2Y-A9HA-01A 70 years, male, white, stage:Stage II, dead, 36 days 672.1
TCGA-ED-A82E-01A 60 years, female, asian, stage:Stage IIIA, alive, 408 days 670.5
TCGA-CC-A8HS-01A 18 years, male, asian, stage:Stage IIIC, dead, 300 days 664.3
TCGA-DD-AADJ-01A 70 years, female, asian, stage:Stage I, alive, 1066 days 664.2
TCGA-DD-AADR-01A 58 years, male, asian, stage:Stage I, alive, 2028 days 660.2
TCGA-2Y-A9H1-01A 58 years, male, white, stage:Stage I, dead, 1229 days 660.0
TCGA-2Y-A9H8-01A 85 years, female, white, stage:'--, dead, 633 days 659.0
TCGA-CC-5261-01A 44 years, male, asian, stage:Stage II, dead, 97 days 658.9
TCGA-2Y-A9GY-01A 64 years, female, white, stage:Stage II, dead, 757 days 635.9
TCGA-DD-AADA-01A 66 years, female, asian, stage:Stage I, alive, 1233 days 635.6
TCGA-CC-5260-01A 61 years, female, asian, stage:Stage IIIC, dead, 87 days 629.2
TCGA-UB-A7MC-01A 59 years, male, white, stage:Stage IIIA, alive, 500 days 627.8
TCGA-MI-A75I-01A 61 years, male, black or african american, stage:'--, alive, 630 days 627.5
TCGA-BC-A217-01A 75 years, female, white, stage:Stage II, dead, 1397 days 621.9
TCGA-DD-A39X-01A 78 years, female, white, stage:Stage I, dead, 1694 days 621.5
TCGA-WQ-A9G7-01A 71 years, female, white, stage:'--, alive, 30 days 611.9
TCGA-G3-A25S-01A 64 years, male, white, stage:Stage I, dead, 416 days 611.5
TCGA-DD-AACL-01A 66 years, female, asian, stage:Stage I, dead, 107 days 611.4
TCGA-DD-AACU-01A 59 years, male, asian, stage:Stage I, alive, 1567 days 610.0
TCGA-EP-A3JL-01A 76 years, male, white, stage:Stage I, alive, 303 days 609.9
TCGA-ED-A7XO-01A 29 years, male, asian, stage:Stage IIIA, alive, 427 days 609.4
TCGA-DD-AACV-01A 53 years, male, asian, stage:Stage I, alive, 1531 days 609.2
TCGA-CC-A3MA-01A 61 years, male, asian, stage:Stage IIIA, dead, 303 days 607.3
TCGA-DD-AACX-01A 66 years, male, asian, stage:Stage II, alive, 170 days 600.3
TCGA-DD-A1EF-01A 57 years, female, white, stage:Stage I, dead, 394 days 598.8
TCGA-ZS-A9CE-01A 79 years, female, white, stage:Stage II, alive, 1241 days 594.5
TCGA-WX-AA47-01A 33 years, female, white, stage:Stage IIIA, dead, 556 days 594.4
TCGA-QA-A7B7-01A 48 years, male, black or african american, stage:Stage II, alive, 94 days 586.6
TCGA-DD-AAVZ-01A 38 years, male, asian, stage:Stage I, alive, 1900 days 585.8
TCGA-DD-AAVV-01A 56 years, male, asian, stage:Stage II, alive, 2455 days 584.3
TCGA-DD-AAVP-01A 48 years, male, asian, stage:Stage I, alive, 2752 days 580.6
TCGA-DD-AACQ-01A 50 years, male, asian, stage:Stage II, dead, 432 days 575.8
TCGA-RC-A7SF-01A 66 years, male, asian, stage:Stage I, alive, 579 days 573.9
TCGA-DD-A73E-01A 66 years, male, white, stage:Stage I, alive, 44 days 572.6
TCGA-G3-A25T-01A 45 years, female, white, stage:Stage IIIA, alive, 1553 days 569.4
TCGA-ED-A66X-01A 35 years, male, asian, stage:Stage IIIA, alive, 406 days 568.5
TCGA-ZS-A9CG-01A 55 years, male, white, stage:Stage II, alive, 341 days 568.5
TCGA-DD-AAVS-01A 56 years, male, asian, stage:Stage I, alive, 1823 days 564.0
TCGA-WQ-AB4B-01A 62 years, male, white, stage:Stage II, alive, 395 days 559.2
TCGA-KR-A7K8-01A 57 years, male, stage:Stage I, alive, 906 days 558.5
TCGA-HP-A5N0-01A 90 years, female, stage:'--, dead, 752 days 554.0
TCGA-DD-A1EL-01A 23 years, male, black or african american, stage:Stage II, dead, 415 days 553.3
TCGA-DD-A1EJ-01A 71 years, female, white, stage:Stage IIIC, dead, 1005 days 550.5
TCGA-DD-AACS-01A 39 years, male, asian, stage:Stage I, alive, 1804 days 549.6
TCGA-RC-A6M5-01A 20 years, female, white, stage:Stage IVA, alive, 15 days 546.2
TCGA-ED-A7PX-01A 48 years, female, asian, stage:Stage II, alive, 6 days 541.3
TCGA-DD-AADU-01A 60 years, male, asian, stage:Stage II, alive, 554 days 539.0
TCGA-DD-AAEH-01A 73 years, male, asian, stage:Stage I, alive, 784 days 538.8
TCGA-DD-AAW3-01A 69 years, male, asian, stage:Stage I, alive, 1633 days 537.0
TCGA-DD-AACI-01A 69 years, male, asian, stage:Stage II, alive, 1618 days 532.2
TCGA-DD-AADF-01A 64 years, female, asian, stage:Stage I, dead, 115 days 530.7
TCGA-2Y-A9GS-01A 58 years, male, white, stage:'--, dead, 724 days 527.6
TCGA-DD-A73D-01A 68 years, female, white, stage:Stage II, alive, 693 days 526.3
TCGA-G3-AAUZ-01A 48 years, male, stage:Stage I, alive, 480 days 526.1
TCGA-DD-A39Y-01A 67 years, male, asian, stage:Stage I, dead, 171 days 520.8
TCGA-EP-A2KB-01A 46 years, female, white, stage:Stage I, dead, 596 days 520.6
TCGA-DD-A39Z-01A 43 years, female, stage:Stage II, dead, 601 days 512.8
TCGA-CC-A7IJ-01A 56 years, male, asian, stage:Stage II, alive, 382 days 508.9
TCGA-ED-A7PY-01A 20 years, female, asian, stage:Stage II, alive, 390 days 508.4
TCGA-DD-AAEE-01A 55 years, male, asian, stage:Stage I, alive, 810 days 502.4
TCGA-BC-A3KG-01A 68 years, female, white, stage:Stage II, alive, 680 days 498.6
TCGA-DD-AADY-01A 55 years, female, asian, stage:Stage I, alive, 555 days 497.9
TCGA-DD-AAVR-01A 44 years, male, asian, stage:Stage I, alive, 2513 days 496.0
TCGA-BC-A5W4-01A 69 years, male, white, stage:Stage IIIA, dead, 547 days 495.9
TCGA-LG-A9QC-01A 48 years, male, white, stage:Stage I, alive, 425 days 494.1
TCGA-RC-A6M4-01A 74 years, female, white, stage:Stage IIIA, alive, 22 days 493.0
TCGA-EP-A2KA-01A 52 years, female, white, stage:Stage IIIA, dead, 627 days 487.9
TCGA-MR-A8JO-01A 34 years, male, white, stage:Stage I, alive, 330 days 485.2
TCGA-WX-AA44-01A 64 years, female, white, stage:Stage I, alive, 615 days 484.3
TCGA-DD-AADB-01A 51 years, male, asian, stage:Stage I, alive, 1242 days 482.6
TCGA-CC-A8HV-01A 51 years, female, asian, stage:Stage II, dead, 279 days 481.4
TCGA-DD-A4NS-01A 61 years, female, white, stage:Stage I, dead, 2456 days 479.0
TCGA-CC-5258-01A 48 years, male, asian, stage:Stage II, dead, 129 days 476.6
TCGA-DD-AAE2-01A 51 years, male, asian, stage:Stage I, alive, 638 days 476.1
TCGA-DD-AAE4-01A 49 years, female, asian, stage:Stage I, alive, 608 days 476.1
TCGA-DD-AAE6-01A 59 years, female, asian, stage:Stage I, alive, 141 days 474.3
TCGA-BC-A69I-01A 69 years, male, white, stage:Stage I, alive, 387 days 473.6
TCGA-DD-AAD2-01A 66 years, male, asian, stage:Stage I, alive, 658 days 472.1
TCGA-DD-A116-01A 68 years, male, asian, stage:Stage IIIA, dead, 1622 days 470.9
TCGA-DD-AAD6-01A 66 years, male, asian, stage:Stage IIIA, alive, 672 days 469.4
TCGA-DD-AAW1-01A 55 years, male, asian, stage:Stage IIIA, alive, 1989 days 465.5
TCGA-BC-A10Q-01A 72 years, female, white, stage:'--, dead, 1135 days 459.0
TCGA-UB-A7MD-01A 67 years, male, black or african american, stage:Stage I, dead, 52 days 458.9
TCGA-KR-A7K0-01A 65 years, male, white, stage:Stage I, dead, 65 days 456.5
TCGA-CC-A3MB-01A 36 years, male, asian, stage:Stage IIIA, dead, 315 days 454.5
TCGA-CC-5262-01A 67 years, male, asian, stage:Stage IIIC, dead, 103 days 449.9
TCGA-RC-A7SK-01A 59 years, male, asian, stage:Stage I, alive, 472 days 449.5
TCGA-DD-AAE1-01A 52 years, male, asian, stage:Stage I, alive, 552 days 449.4
TCGA-DD-AAVY-01A 56 years, male, asian, stage:Stage IIIA, alive, 1970 days 449.2
TCGA-2Y-A9H9-01A 70 years, male, white, stage:Stage I, alive, 697 days 449.1
TCGA-EP-A2KC-01A 62 years, male, black or african american, stage:Stage I, dead, 19 days 447.5
TCGA-XR-A8TD-01A 49 years, female, white, stage:Stage IIIB, alive, 1030 days 447.3
TCGA-G3-A25Y-01A 52 years, female, asian, stage:Stage I, dead, 452 days 443.9
TCGA-DD-AAW0-01A 54 years, male, asian, stage:Stage I, alive, 2015 days 442.8
TCGA-WX-AA46-01A 61 years, male, white, stage:Stage II, alive, 756 days 441.3
TCGA-DD-AADG-01A 70 years, male, asian, stage:Stage IIIA, alive, 1145 days 434.1
TCGA-G3-AAV7-01A 38 years, male, asian, stage:Stage II, alive, 361 days 433.0
TCGA-DD-AAEA-01A 65 years, male, asian, stage:Stage I, alive, 575 days 432.9
TCGA-DD-AAVX-01A 38 years, male, asian, stage:Stage II, alive, 1718 days 431.7
TCGA-DD-AAEI-01A 72 years, male, asian, stage:Stage I, alive, 1531 days 425.6
TCGA-MI-A75E-01A 61 years, male, white, stage:Stage IIIC, alive, 507 days 423.4
TCGA-DD-AADD-01A 51 years, male, asian, stage:Stage I, alive, 1231 days 422.0
TCGA-DD-AACH-01A 69 years, male, asian, stage:Stage II, dead, 195 days 420.7
TCGA-2Y-A9H2-01A 64 years, female, white, stage:Stage I, alive, 1731 days 418.4
TCGA-DD-A4NE-01A 75 years, female, white, stage:Stage IIIA, dead, 660 days 415.9
TCGA-5C-AAPD-01A 61 years, male, asian, stage:Stage II, alive, 20 days 415.5
TCGA-G3-AAV4-01A 83 years, female, white, stage:Stage I, dead, 27 days 415.1
TCGA-DD-A4NR-01A 85 years, female, white, stage:Stage I, dead, 9 days 414.1
TCGA-WJ-A86L-01A 68 years, female, white, stage:Stage I, alive, 345 days 412.1
TCGA-GJ-A3OU-01A 59 years, male, white, stage:Stage I, alive, 879 days 410.9
TCGA-DD-A4NJ-01A 54 years, female, white, stage:Stage II, alive, 928 days 410.8
TCGA-FV-A496-01A 84 years, female, white, stage:Stage I, alive, 10 days 409.5
TCGA-DD-AACK-01A 70 years, male, asian, stage:Stage I, alive, 9 days 409.1
TCGA-BC-A8YO-01A 66 years, female, white, stage:Stage IIIC, alive, 562 days 404.3
TCGA-DD-AAVW-01A 35 years, male, asian, stage:Stage I, alive, 2317 days 402.3
TCGA-DD-AAEK-01A 51 years, male, asian, stage:Stage II, alive, 1067 days 402.1
TCGA-G3-A6UC-01A 65 years, male, white, stage:Stage IIIB, alive, 671 days 401.1
TCGA-DD-A119-01A 40 years, male, asian, stage:Stage IV, dead, 223 days 401.1
TCGA-DD-A4NO-01A 65 years, male, white, stage:Stage I, alive, 2245 days 399.8
TCGA-DD-A1EH-01A 23 years, male, white, stage:Stage III, alive, 1495 days 397.2
TCGA-PD-A5DF-01A 58 years, female, white, stage:Stage IIIB, dead, 639 days 396.1
TCGA-ED-A627-01A 74 years, male, white, stage:Stage I, alive, 423 days 396.0
TCGA-K7-AAU7-01A 61 years, male, white, stage:Stage II, alive, 359 days 395.4
TCGA-NI-A4U2-01A 71 years, male, white, stage:Stage IIIA, dead, 1791 days 394.9
TCGA-G3-AAV0-01A 58 years, male, asian, stage:Stage I, alive, 476 days 392.4
TCGA-DD-A39W-01A 29 years, female, white, stage:Stage III, dead, 827 days 390.7
TCGA-LG-A6GG-01A 79 years, female, white, stage:Stage II, alive, 387 days 386.9
TCGA-G3-A25U-01A 63 years, female, asian, stage:Stage I, alive, 1636 days 383.2
TCGA-5R-AA1D-01A 17 years, female, white, stage:Stage IIIA, alive, 449 days 381.7
TCGA-DD-AACC-01A 61 years, male, asian, stage:Stage I, dead, 1685 days 381.5
TCGA-DD-A118-01A 77 years, female, white, stage:Stage II, alive, 3437 days 381.2
TCGA-CC-A7IF-01A 59 years, male, asian, stage:Stage IIIA, dead, 649 days 380.7
TCGA-G3-A5SJ-01A 59 years, male, white, stage:Stage I, alive, 698 days 380.2
TCGA-G3-A3CJ-01A 52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days 380.2
TCGA-T1-A6J8-01A 68 years, male, white, stage:'--, alive, 23 days 378.1
TCGA-CC-A7IH-01A 58 years, male, asian, stage:Stage IIIA, alive, 365 days 375.2
TCGA-RC-A7SH-01A 42 years, male, asian, stage:Stage II, alive, 468 days 373.0
TCGA-BC-A110-01A 51 years, female, black or african american, stage:'--, dead, 2116 days 372.0
TCGA-K7-A6G5-01A 66 years, male, white, stage:Stage I, alive, 512 days 371.2
TCGA-CC-A3M9-01A 45 years, male, asian, stage:Stage IIIA, dead, 300 days 370.4
TCGA-G3-AAV1-01A 51 years, male, asian, stage:Stage IIIC, dead, 359 days 368.9
TCGA-DD-A3A5-01A 66 years, female, white, stage:Stage III, dead, 3125 days 368.5
TCGA-CC-A3MC-01A 54 years, male, asian, stage:Stage IIIA, alive, 363 days 367.7
TCGA-GJ-A9DB-01A 68 years, male, white, stage:Stage I, dead, 67 days 365.3
TCGA-G3-A5SI-01A 44 years, male, asian, stage:Stage II, dead, 768 days 364.5
TCGA-ZS-A9CD-01A 73 years, male, white, stage:Stage II, dead, 1386 days 364.2
TCGA-DD-A4ND-01A 56 years, female, white, stage:Stage I, alive, 2746 days 361.8
TCGA-XR-A8TC-01A 43 years, female, white, stage:Stage I, alive, 1339 days 359.3
TCGA-DD-A3A8-01A 75 years, male, white, stage:Stage II, dead, 11 days 359.0
TCGA-DD-AADK-01A 68 years, female, asian, stage:Stage II, alive, 1049 days 353.3
TCGA-2Y-A9H4-01A 68 years, male, black or african american, stage:Stage I, alive, 1452 days 352.2
TCGA-DD-A3A1-01A 65 years, male, stage:Stage IIIA, dead, 233 days 351.8
TCGA-DD-AAD1-01A 51 years, female, asian, stage:Stage I, alive, 564 days 349.4
TCGA-BC-A10Y-01A 76 years, male, white, stage:'--, dead, 711 days 348.3
TCGA-FV-A2QQ-01A 80 years, male, white, stage:Stage I, alive, 729 days 347.8
TCGA-5C-A9VH-01A 70 years, male, white, stage:Stage I, alive, 322 days 345.4
TCGA-DD-A73C-01A 65 years, female, white, stage:Stage IIIA, alive, 701 days 343.4
TCGA-DD-A1EI-01A 46 years, male, asian, stage:Stage I, alive, 183 days 342.3
TCGA-BC-A10S-01A 81 years, male, white, stage:'--, dead, 1423 days 341.9
TCGA-DD-A4NV-01A 61 years, male, white, stage:Stage IIIA, alive, 2398 days 339.1
TCGA-DD-A4NP-01A 32 years, male, white, stage:Stage I, alive, 3308 days 338.2
TCGA-BD-A3EP-01A 75 years, female, black or african american, stage:Stage I, alive, 409 days 334.8
TCGA-2Y-A9GZ-01A 82 years, female, white, stage:Stage II, dead, 848 days 334.7
TCGA-2Y-A9H6-01A 68 years, female, white, stage:Stage I, alive, 357 days 333.4
TCGA-DD-A1EE-01A 73 years, male, white, stage:Stage IIIA, dead, 349 days 330.5
TCGA-DD-A11D-01A 57 years, female, white, stage:Stage I, dead, 1560 days 329.5
TCGA-G3-AAV3-01A 58 years, female, white, stage:Stage II, alive, 412 days 328.2
TCGA-NI-A8LF-01A 74 years, male, white, stage:Stage I, alive, 799 days 325.3
TCGA-EP-A26S-01A 70 years, male, white, stage:Stage I, alive, 608 days 324.9
TCGA-DD-AAC9-01A 51 years, male, asian, stage:Stage I, alive, 347 days 324.9
TCGA-DD-AAD3-01A 43 years, male, asian, stage:Stage I, alive, 1295 days 323.8
TCGA-EP-A3RK-01A 73 years, male, white, stage:Stage IIIA, alive, 363 days 323.6
TCGA-ED-A7XP-01A 53 years, female, asian, stage:Stage II, alive, 400 days 322.0
TCGA-2Y-A9H3-01A 45 years, male, white, stage:Stage II, alive, 1516 days 321.6
TCGA-ZP-A9D4-01A 64 years, female, white, stage:'--, alive, 395 days 321.3
TCGA-DD-A4NK-01A 80 years, female, white, stage:Stage IIIA, dead, 1210 days 320.8
TCGA-CC-A123-01A 24 years, female, asian, stage:Stage IIIA, alive, 219 days 320.5
TCGA-DD-A1EA-01A 68 years, male, asian, stage:Stage II, alive, 2415 days 320.5
TCGA-DD-AAD0-01A 73 years, female, asian, stage:Stage I, alive, 137 days 320.2
TCGA-ED-A459-01A 47 years, male, asian, stage:Stage II, alive, 910 days 320.1
TCGA-G3-A3CK-01A 61 years, male, asian, stage:Stage I, alive, 585 days 319.2
TCGA-DD-AAEB-01A 60 years, male, asian, stage:Stage I, alive, 478 days 319.1
TCGA-DD-AACD-01A 48 years, male, asian, stage:Stage I, dead, 381 days 318.0
TCGA-5R-AAAM-01A 65 years, female, white, stage:Stage II, dead, 46 days 316.6
TCGA-BC-A10W-01A 50 years, male, asian, stage:'--, dead, 91 days 314.4
TCGA-CC-A8HT-01A 74 years, male, asian, stage:Stage IIIA, dead, 140 days 314.0
TCGA-CC-5259-01A 60 years, female, asian, stage:Stage IIIC, alive, 250 days 313.8
TCGA-DD-A1EC-01A 20 years, female, white, stage:Stage I, alive, 602 days 313.4
TCGA-K7-A5RG-01A 66 years, male, black or african american, stage:Stage I, alive, 519 days 313.0
TCGA-XR-A8TE-01A 16 years, male, white, stage:Stage IIIA, alive, 925 days 312.9
TCGA-EP-A12J-01A 62 years, male, black or african american, stage:Stage I, alive, 570 days 307.2
TCGA-G3-A3CH-01A 53 years, male, asian, stage:Stage IIIA, alive, 780 days 305.5
TCGA-5R-AA1C-01A 57 years, male, white, stage:Stage II, alive, 520 days 305.3
TCGA-DD-A3A4-01A 37 years, male, white, stage:Stage IIIA, dead, 612 days 304.7
TCGA-RC-A7SB-01A 53 years, male, asian, stage:Stage II, alive, 588 days 303.4
TCGA-BC-A216-01A 62 years, female, white, stage:Stage IIIA, alive, 1351 days 303.3
TCGA-G3-A7M7-01A 65 years, male, white, stage:Stage I, alive, 361 days 302.5
TCGA-FV-A3I1-01A 81 years, female, white, stage:Stage II, dead, 247 days 301.0
TCGA-FV-A23B-01A 70 years, female, white, stage:Stage II, dead, 1852 days 297.6
TCGA-G3-A25V-01A 68 years, male, white, stage:Stage I, alive, 860 days 297.4
TCGA-DD-A11C-01A 69 years, male, white, stage:Stage I, alive, 662 days 296.7
TCGA-ED-A4XI-01A 58 years, male, asian, stage:Stage II, alive, 819 days 295.1
TCGA-DD-AAE9-01A 69 years, male, asian, stage:Stage I, alive, 722 days 294.7
TCGA-ZP-A9D1-01A 56 years, female, white, stage:'--, alive, 21 days 291.5
TCGA-DD-A114-01A 42 years, male, black or african american, stage:Stage II, dead, 1149 days 291.0
TCGA-ZP-A9D0-01A 67 years, female, black or african american, stage:'--, alive, 1091 days 288.9
TCGA-DD-A73B-01A 72 years, female, white, stage:Stage I, dead, 283 days 288.5
TCGA-ZS-A9CF-01A 64 years, male, white, stage:Stage II, alive, 2412 days 287.1
TCGA-BC-A10T-01A 76 years, male, white, stage:'--, dead, 837 days 286.0
TCGA-DD-A1EG-01A 76 years, male, white, stage:Stage I, dead, 1372 days 285.3
TCGA-DD-AAVQ-01A 38 years, male, asian, stage:Stage I, alive, 2728 days 284.6
TCGA-ED-A97K-01A 54 years, male, asian, stage:Stage IIIA, alive, 6 days 281.9
TCGA-2Y-A9H5-01A 59 years, female, white, stage:Stage I, dead, 555 days 280.1
TCGA-DD-A4NQ-01A 60 years, male, white, stage:Stage II, dead, 373 days 279.2
TCGA-FV-A3R2-01A 75 years, male, white, stage:Stage I, dead, 194 days 278.2
TCGA-ZP-A9CZ-01A 72 years, male, asian, stage:'--, alive, 706 days 277.8
TCGA-G3-A5SM-01A 58 years, male, white, stage:Stage II, alive, 520 days 276.5
TCGA-G3-A7M8-01A 31 years, male, asian, stage:Stage I, alive, 430 days 275.1
TCGA-DD-A4NA-01A 67 years, female, white, stage:Stage IIIC, alive, 1008 days 271.7
TCGA-K7-A5RF-01A 64 years, male, white, stage:Stage I, alive, 631 days 271.7
TCGA-DD-A4NH-01A 65 years, female, white, stage:Stage IIIB, alive, 917 days 270.2
TCGA-FV-A2QR-01A 75 years, male, white, stage:Stage I, dead, 581 days 269.8
TCGA-DD-A4NB-01A 25 years, male, white, stage:Stage I, alive, 989 days 269.6
TCGA-DD-A1EB-01A 72 years, female, stage:Stage I, alive, 2017 days 267.8
TCGA-2Y-A9GX-01A 68 years, male, white, stage:Stage I, alive, 2442 days 267.5
TCGA-DD-A73A-01A 71 years, male, white, stage:Stage I, alive, 728 days 267.2
TCGA-DD-AACE-01A 62 years, male, asian, stage:Stage I, alive, 2184 days 267.1
TCGA-ES-A2HT-01A 54 years, male, black or african american, stage:Stage I, dead, 438 days 266.8
TCGA-UB-AA0U-01A 60 years, male, white, stage:Stage II, alive, 327 days 265.1
TCGA-DD-AADM-01A 58 years, male, asian, stage:Stage II, dead, 12 days 262.5
TCGA-DD-AACO-01A 40 years, male, asian, stage:Stage I, alive, 1876 days 261.3
TCGA-DD-A4NF-01A 72 years, male, white, stage:Stage I, alive, 942 days 259.1
TCGA-CC-A9FS-01A 55 years, male, asian, stage:Stage II, alive, 211 days 254.9
TCGA-2Y-A9GW-01A 64 years, male, white, stage:Stage I, dead, 1271 days 254.8
TCGA-BD-A2L6-01A 69 years, male, white, stage:'--, alive, 1363 days 254.8
TCGA-DD-A73F-01A 77 years, female, white, stage:Stage I, alive, 1085 days 253.2
TCGA-FV-A3R3-01A 38 years, female, white, stage:Stage I, dead, 366 days 249.9
TCGA-DD-AADS-01A 63 years, male, asian, stage:Stage I, alive, 474 days 249.7
TCGA-DD-AACT-01A 69 years, female, asian, stage:Stage I, alive, 1562 days 247.9
TCGA-GJ-A6C0-01A 75 years, female, white, stage:Stage II, dead, 31 days 247.7
TCGA-G3-A25Z-01A 58 years, male, asian, stage:Stage I, alive, 655 days 240.6
TCGA-BC-A3KF-01A 66 years, female, white, stage:Stage I, alive, 8 days 239.7
TCGA-BC-A10R-01A 66 years, female, white, stage:'--, dead, 308 days 239.6
TCGA-XR-A8TG-01A 58 years, male, white, stage:Stage I, alive, 898 days 236.7
TCGA-HP-A5MZ-01A 78 years, male, stage:Stage I, dead, 91 days 234.0
TCGA-DD-A113-01A 55 years, female, white, stage:Stage II, alive, 2425 days 232.3
TCGA-DD-AAE7-01A 72 years, male, asian, stage:Stage I, alive, 644 days 231.0
TCGA-ES-A2HS-01A 80 years, male, white, stage:Stage I, dead, 688 days 230.4
TCGA-DD-A115-01A 53 years, male, white, stage:Stage IIIA, dead, 2542 days 224.8
TCGA-G3-A3CG-01A 80 years, male, white, stage:Stage I, alive, 673 days 221.0
TCGA-G3-A5SL-01A 70 years, male, white, stage:Stage II, alive, 621 days 219.9
TCGA-4R-AA8I-01A 66 years, male, white, stage:Stage II, dead, 262 days 219.8
TCGA-LG-A9QD-01A 68 years, male, white, stage:Stage IIIA, alive, 366 days 219.3
TCGA-MR-A520-01A 58 years, male, white, stage:Stage I, alive, 229 days 215.2
TCGA-UB-AA0V-01A 69 years, female, white, stage:Stage I, alive, 314 days 212.4
TCGA-DD-A4NL-01A 46 years, male, white, stage:Stage I, alive, 1711 days 211.1
TCGA-2Y-A9GV-01A 54 years, female, white, stage:Stage I, dead, 2532 days 209.7
TCGA-BC-A10U-01A 69 years, male, white, stage:'--, dead, 837 days 208.4
TCGA-DD-A4NG-01A 77 years, male, white, stage:Stage IIIA, dead, 802 days 204.7
TCGA-2Y-A9H0-01A 49 years, male, white, stage:Stage IIIA, alive, 3675 days 204.3
TCGA-DD-AADL-01A 58 years, male, asian, stage:Stage I, alive, 636 days 202.0
TCGA-G3-A3CI-01A 71 years, male, white, stage:Stage I, alive, 180 days 198.6
TCGA-BC-A10Z-01A 62 years, female, white, stage:Stage I, dead, 34 days 198.5
TCGA-BC-A10X-01A 52 years, female, white, stage:Stage IIIA, dead, 770 days 193.0
TCGA-DD-A1ED-01A 68 years, male, white, stage:Stage I, alive, 2301 days 192.6
TCGA-ZP-A9CV-01A 59 years, male, white, stage:'--, dead, 1088 days 188.3
TCGA-DD-A1EK-01A 64 years, female, white, stage:Stage IVB, dead, 558 days 177.6
TCGA-DD-A11B-01A 73 years, male, white, stage:Stage I, dead, 14 days 176.9
TCGA-BD-A3ER-01A 62 years, male, white, stage:Stage II, alive, 1115 days 174.0
TCGA-DD-A4NI-01A 67 years, male, white, stage:Stage II, alive, 816 days 165.6
TCGA-ZP-A9CY-01A 66 years, female, white, stage:'--, alive, 782 days 160.5
TCGA-2Y-A9GT-01A 51 years, male, white, stage:Stage I, dead, 1624 days 155.9
TCGA-DD-A3A6-01A 72 years, female, white, stage:Stage II, dead, 3258 days 153.0
TCGA-DD-A3A2-01A 76 years, female, white, stage:Stage I, dead, 2131 days 150.5
TCGA-2Y-A9GU-01A 55 years, female, white, stage:Stage I, alive, 1939 days 141.6
TCGA-G3-A5SK-01A 58 years, male, white, stage:Stage I, alive, 744 days 138.7
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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.

RPL37 is not prognostic in Liver Hepatocellular Carcinoma (validation)


Stage:
Survival analysis
Current cut offi

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

:
Best expression cut offi

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

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

: 1015.48
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 850.9
Number of samples 231
Samples
Sample Description pTPM
DO23545 67 years, male, NA, stage:2, dead, 570 days 3017.6
DO50815 62 years, male, NA, stage:3, alive, 150 days 2735.1
DO45285 59 years, male, NA, stage:3, alive, 480 days 2585.0
DO45251 57 years, female, NA, stage:2, alive, 900 days 2251.5
DO48741 64 years, male, NA, stage:3, alive, 240 days 2197.7
DO23519 65 years, male, NA, stage:3, alive, 630 days 2177.9
DO48737 52 years, male, NA, stage:1, alive, 720 days 2139.9
DO50814 83 years, male, NA, stage:3, alive, 420 days 2130.3
DO23521 63 years, male, NA, stage:3, alive, 1110 days 1843.7
DO45303 62 years, female, NA, stage:3, alive, 990 days 1837.5
DO48747 62 years, male, NA, stage:3, alive, 540 days 1825.0
DO23515 71 years, male, NA, stage:2, alive, 1230 days 1677.5
DO23526 66 years, male, NA, stage:3, alive, 1050 days 1614.5
DO50806 70 years, male, NA, stage:4, alive, 540 days 1605.5
DO50859 77 years, male, NA, stage:2, alive, 180 days 1604.5
DO45097 69 years, male, NA, stage:3, alive, 1620 days 1553.9
DO45205 67 years, female, NA, stage:2, dead, 90 days 1528.5
DO45211 76 years, male, NA, stage:3, alive, 240 days 1527.2
DO50825 70 years, male, NA, stage:2, alive, 390 days 1493.5
DO45217 69 years, female, NA, stage:3, dead, 270 days 1493.5
DO45289 78 years, female, NA, stage:3, alive, 360 days 1472.9
DO48682 72 years, female, NA, stage:3, dead, 120 days 1452.5
DO50799 66 years, female, NA, stage:2, alive, 540 days 1441.5
DO45299 70 years, female, NA, stage:1, alive, 1440 days 1438.0
DO45241 49 years, male, NA, stage:1, alive, 1080 days 1436.8
DO23546 63 years, male, NA, stage:2, alive, 1050 days 1343.4
DO50785 37 years, male, NA, stage:4, dead, 90 days 1320.0
DO45297 61 years, female, NA, stage:4, dead, 1260 days 1309.4
DO45093 71 years, male, NA, stage:2, dead, 720 days 1307.1
DO45273 62 years, male, NA, stage:2, alive, 480 days 1297.0
DO50855 47 years, male, NA, stage:2, alive, 570 days 1291.6
DO45193 68 years, female, NA, stage:4, dead, 120 days 1263.5
DO23530 53 years, male, NA, stage:4, dead, 180 days 1241.0
DO50811 62 years, male, NA, stage:1, alive, 450 days 1240.3
DO45127 73 years, male, NA, stage:3, dead, 420 days 1239.5
DO48697 64 years, female, NA, stage:2, dead, 810 days 1235.2
DO45287 74 years, male, NA, stage:1, alive, 390 days 1218.3
DO45305 66 years, male, NA, stage:4, alive, 300 days 1213.9
DO45307 54 years, female, NA, stage:4, dead, 240 days 1211.1
DO45095 66 years, male, NA, stage:2, alive, 1620 days 1206.9
DO45269 59 years, male, NA, stage:3, alive, 750 days 1201.1
DO45239 42 years, male, NA, stage:2, alive, 870 days 1198.8
DO50809 56 years, male, NA, stage:3, dead, 720 days 1188.4
DO48723 73 years, male, NA, stage:1, alive, 600 days 1185.9
DO45103 47 years, male, NA, stage:3, alive, 450 days 1167.9
DO23543 63 years, male, NA, stage:2, alive, 1020 days 1144.5
DO45301 56 years, male, NA, stage:2, dead, 1440 days 1116.8
DO45163 76 years, male, NA, stage:2, alive, 960 days 1111.7
DO45277 64 years, male, NA, stage:3, alive, 600 days 1109.5
DO45283 60 years, male, NA, stage:3, alive, 510 days 1102.1
DO45249 57 years, male, NA, stage:1, alive, 630 days 1094.4
DO50793 76 years, male, NA, stage:4, alive, 540 days 1087.7
DO45257 46 years, male, NA, stage:3, alive, 810 days 1075.7
DO48730 73 years, female, NA, stage:2, alive, 630 days 1070.1
DO23528 45 years, female, NA, stage:2, alive, 1020 days 1064.9
DO23508 79 years, female, NA, stage:2, alive, 390 days 1064.2
DO45259 65 years, male, NA, stage:3, alive, 330 days 1055.1
DO23533 61 years, male, NA, stage:2, alive, 900 days 1050.4
DO50791 79 years, female, NA, stage:1, dead, 480 days 1048.5
DO48715 58 years, female, NA, stage:2, dead, 690 days 1039.1
DO45267 73 years, male, NA, stage:3, dead, 570 days 1021.2
DO45209 70 years, male, NA, stage:4, alive, 1350 days 1009.8
DO23549 74 years, male, NA, stage:3, alive, 990 days 986.6
DO48759 73 years, male, NA, stage:3, alive, 720 days 984.7
DO45189 85 years, female, NA, stage:2, alive, 1200 days 979.1
DO45219 78 years, male, NA, stage:2, alive, 1080 days 978.7
DO50844 75 years, male, NA, stage:4, alive, 300 days 976.3
DO48720 62 years, female, NA, stage:2, alive, 570 days 964.5
DO50857 72 years, male, NA, stage:2, alive, 210 days 959.8
DO45135 77 years, male, NA, stage:1, alive, 1410 days 947.2
DO23516 69 years, male, NA, stage:3, dead, 20 days 940.4
DO45149 70 years, female, NA, stage:2, alive, 1260 days 923.1
DO23547 74 years, male, NA, stage:1, alive, 1020 days 921.4
DO45261 74 years, male, NA, stage:3, alive, 990 days 912.7
DO45139 63 years, male, NA, stage:3, alive, 1320 days 905.3
DO48717 54 years, male, NA, stage:4, dead, 180 days 898.6
DO50783 62 years, male, NA, stage:3, alive, 480 days 886.0
DO45143 69 years, male, NA, stage:3, alive, 1290 days 885.9
DO45187 32 years, female, NA, stage:1, alive, 1260 days 884.7
DO48706 72 years, male, NA, stage:2, alive, 870 days 884.7
DO45185 89 years, male, NA, stage:2, alive, 600 days 879.1
DO48736 76 years, female, NA, stage:1, alive, 600 days 876.8
DO45183 72 years, female, NA, stage:2, dead, 570 days 869.8
DO48693 71 years, male, NA, stage:2, alive, 900 days 863.5
DO45265 73 years, male, NA, stage:3, alive, 1020 days 857.8
DO48757 68 years, female, NA, stage:3, alive, 480 days 853.3
DO50802 49 years, male, NA, stage:2, alive, 930 days 848.6
DO45155 69 years, male, NA, stage:2, alive, 2160 days 837.4
DO50839 47 years, female, NA, stage:3, alive, 330 days 835.9
DO50778 60 years, male, NA, stage:4, alive, 630 days 831.4
DO48712 50 years, male, NA, stage:2, alive, 810 days 820.4
DO48732 73 years, male, NA, stage:3, alive, 630 days 817.5
DO45213 58 years, male, NA, stage:1, alive, 1200 days 817.0
DO45161 74 years, male, NA, stage:2, dead, 540 days 817.0
DO23541 65 years, male, NA, stage:2, alive, 930 days 816.2
DO45221 75 years, female, NA, stage:4, dead, 390 days 813.7
DO48751 68 years, male, NA, stage:2, dead, 480 days 813.2
DO50820 77 years, female, NA, stage:3, alive, 510 days 812.7
DO48672 81 years, male, NA, stage:2, alive, 450 days 812.2
DO45279 67 years, male, NA, stage:3, alive, 1290 days 812.1
DO45199 86 years, female, NA, stage:2, alive, 1350 days 806.9
DO23548 78 years, female, NA, stage:1, alive, 840 days 801.4
DO50805 72 years, male, NA, stage:2, alive, 690 days 800.9
DO45173 63 years, male, NA, stage:3, alive, 1170 days 795.0
DO23513 76 years, male, NA, stage:3, alive, 1200 days 794.8
DO50822 66 years, male, NA, stage:2, alive, 510 days 786.3
DO45191 61 years, female, NA, stage:2, alive, 1200 days 784.5
DO23525 71 years, male, NA, stage:4, alive, 1050 days 782.0
DO45145 78 years, male, NA, stage:3, dead, 60 days 776.7
DO45179 78 years, female, NA, stage:2, alive, 600 days 776.1
DO23536 56 years, male, NA, stage:2, alive, 930 days 773.3
DO48681 57 years, male, NA, stage:2, alive, 900 days 772.6
DO48700 78 years, female, NA, stage:2, alive, 810 days 769.4
DO50816 63 years, male, NA, stage:2, alive, 390 days 765.1
DO45165 75 years, male, NA, stage:2, alive, 690 days 761.4
DO45171 56 years, male, NA, stage:3, alive, 600 days 756.0
DO50813 56 years, male, NA, stage:2, alive, 420 days 754.1
DO48721 58 years, female, NA, stage:1, alive, 900 days 753.8
DO227801 77 years, female, NA, stage:1, alive, 660 days 750.2
DO48679 72 years, male, NA, stage:2, alive, 1200 days 745.5
DO45141 73 years, male, NA, stage:2, alive, 1320 days 742.5
DO48733 72 years, male, NA, stage:2, alive, 600 days 735.7
DO48701 78 years, male, NA, stage:2, alive, 780 days 735.5
DO45245 75 years, female, NA, stage:2, dead, 240 days 727.0
DO45101 63 years, male, NA, stage:2, alive, 1680 days 725.7
DO45247 31 years, female, NA, stage:2, alive, 210 days 722.2
DO45253 50 years, male, NA, stage:2, alive, 870 days 721.8
DO23539 77 years, male, NA, stage:1, alive, 1110 days 720.2
DO45203 71 years, female, NA, stage:2, alive, 1170 days 718.1
DO48725 66 years, male, NA, stage:1, alive, 780 days 712.4
DO45117 73 years, female, NA, stage:2, dead, 1110 days 711.5
DO23537 79 years, male, NA, stage:2, dead, 900 days 710.3
DO45157 62 years, male, NA, stage:2, alive, 1980 days 699.7
DO45237 58 years, male, NA, stage:2, alive, 900 days 692.2
DO45227 57 years, female, NA, stage:2, alive, 1020 days 688.9
DO23514 64 years, male, NA, stage:2, alive, 1290 days 682.1
DO45175 74 years, male, NA, stage:2, alive, 1140 days 677.7
DO23542 66 years, male, NA, stage:3, alive, 960 days 677.7
DO45092 62 years, male, NA, stage:4, dead, 1200 days 674.2
DO45096 69 years, male, NA, stage:2, dead, 1290 days 670.5
DO23511 83 years, female, NA, stage:3, dead, 180 days 667.2
DO45133 64 years, male, NA, stage:3, dead, 660 days 667.2
DO45281 83 years, male, NA, stage:4, alive, 750 days 662.2
DO50798 77 years, male, NA, stage:3, dead, 30 days 656.4
DO48727 81 years, female, NA, stage:2, dead, 390 days 646.7
DO45109 63 years, male, NA, stage:2, alive, 1590 days 637.3
DO45201 49 years, male, NA, stage:1, alive, 900 days 636.7
DO45091 56 years, male, NA, stage:2, dead, 1320 days 627.0
DO48719 80 years, male, NA, stage:2, alive, 690 days 624.4
DO50800 74 years, male, NA, stage:2, alive, 510 days 620.6
DO48728 74 years, female, NA, stage:2, alive, 150 days 613.4
DO48695 77 years, male, NA, stage:2, alive, 720 days 608.4
DO50776 75 years, male, NA, stage:1, alive, 690 days 600.2
DO45225 69 years, male, NA, stage:1, alive, 1050 days 599.0
DO23523 52 years, male, NA, stage:3, alive, 1080 days 598.6
DO48746 76 years, male, NA, stage:3, alive, 570 days 596.7
DO23534 60 years, male, NA, stage:2, alive, 840 days 594.3
DO45263 67 years, male, NA, stage:3, dead, 270 days 585.1
DO45099 46 years, male, NA, stage:3, alive, 1590 days 583.0
DO50850 74 years, male, NA, stage:3, alive, 720 days 581.0
DO23510 80 years, female, NA, stage:2, alive, 870 days 578.7
DO50829 78 years, male, NA, stage:3, alive, 570 days 575.1
DO45243 74 years, female, NA, stage:3, alive, 930 days 574.5
DO45119 74 years, male, NA, stage:3, dead, 510 days 571.1
DO50817 75 years, male, NA, stage:2, alive, 390 days 570.0
DO45153 77 years, female, NA, stage:2, alive, 1380 days 565.6
DO45169 74 years, male, NA, stage:3, alive, 1350 days 559.3
DO23540 73 years, male, NA, stage:1, alive, 750 days 556.1
DO45159 65 years, male, NA, stage:3, alive, 1470 days 542.2
DO23509 60 years, male, NA, stage:3, dead, 780 days 527.9
DO23538 67 years, male, NA, stage:2, alive, 450 days 527.3
DO45255 81 years, male, NA, stage:3, alive, 720 days 526.5
DO23529 72 years, male, NA, stage:4, alive, 930 days 522.9
DO50808 68 years, male, NA, stage:2, alive, 570 days 522.3
DO23518 67 years, male, NA, stage:2, alive, 1320 days 517.4
DO45231 84 years, male, NA, stage:2, alive, 930 days 516.1
DO45181 84 years, female, NA, stage:2, alive, 1200 days 510.9
DO45229 74 years, male, NA, stage:1, alive, 990 days 510.4
DO50818 65 years, male, NA, stage:2, alive, 510 days 508.9
DO45223 67 years, male, NA, stage:4, alive, 1020 days 505.3
DO45121 61 years, male, NA, stage:3, alive, 1530 days 504.6
DO50803 62 years, female, NA, stage:1, alive, 540 days 497.7
DO45105 61 years, male, NA, stage:1, alive, 1680 days 487.8
DO50832 73 years, male, NA, stage:3, alive, 90 days 486.7
DO45177 81 years, female, NA, stage:3, alive, 1260 days 485.1
DO45233 83 years, male, NA, stage:3, alive, 900 days 485.0
DO48677 58 years, male, NA, stage:3, alive, 1140 days 483.9
DO23544 67 years, male, NA, stage:2, alive, 960 days 482.7
DO50840 49 years, male, NA, stage:2, alive, 330 days 478.6
DO45125 58 years, male, NA, stage:3, alive, 1680 days 477.8
DO48761 55 years, male, NA, stage:2, alive, 870 days 473.6
DO50787 63 years, male, NA, stage:3, alive, 480 days 471.3
DO45207 68 years, male, NA, stage:1, alive, 1050 days 470.2
DO23512 60 years, male, NA, stage:1, alive, 1260 days 469.4
DO48742 76 years, male, NA, stage:2, alive, 600 days 466.5
DO23535 67 years, male, NA, stage:1, alive, 960 days 466.5
DO50789 73 years, female, NA, stage:2, alive, 570 days 464.8
DO23517 62 years, male, NA, stage:2, alive, 1200 days 453.8
DO50804 81 years, male, NA, stage:2, alive, 720 days 449.9
DO48716 71 years, male, NA, stage:2, alive, 720 days 447.5
DO50774 68 years, female, NA, stage:2, alive, 720 days 446.7
DO45137 38 years, male, NA, stage:1, alive, 1320 days 446.4
DO50807 67 years, male, NA, stage:1, alive, 540 days 443.5
DO227643 79 years, male, NA, stage:2, alive, 1260 days 442.1
DO50845 72 years, male, NA, stage:3, alive, 210 days 438.7
DO48704 68 years, female, NA, stage:3, alive, 750 days 427.6
DO45167 67 years, male, NA, stage:2, dead, 1440 days 425.5
DO23527 72 years, male, NA, stage:1, alive, 1050 days 424.0
DO23532 71 years, female, NA, stage:1, alive, 960 days 411.8
DO45113 58 years, male, NA, stage:3, alive, 1560 days 411.6
DO45215 65 years, male, NA, stage:2, alive, 1170 days 410.9
DO48743 69 years, female, NA, stage:2, alive, 570 days 409.0
DO45275 65 years, male, NA, stage:3, dead, 10 days 407.7
DO50819 72 years, female, NA, stage:2, alive, 510 days 405.0
DO48674 80 years, male, NA, stage:2, alive, 1260 days 395.9
DO23531 78 years, female, NA, stage:3, alive, 900 days 391.3
DO23551 73 years, male, NA, stage:3, dead, 150 days 389.5
DO45131 53 years, male, NA, stage:4, dead, 360 days 385.8
DO45123 78 years, female, NA, stage:2, dead, 570 days 381.9
DO23524 71 years, female, NA, stage:2, alive, 1050 days 367.1
DO45115 81 years, male, NA, stage:2, alive, 840 days 338.5
DO45129 61 years, male, NA, stage:3, alive, 1470 days 331.9
DO45195 62 years, male, NA, stage:1, alive, 390 days 323.0
DO45235 68 years, female, NA, stage:1, alive, 900 days 322.9
DO48760 70 years, female, NA, stage:2, alive, 690 days 312.3
DO45107 63 years, female, NA, stage:2, alive, 1710 days 312.3
DO45094 76 years, male, NA, stage:3, alive, 1650 days 287.4
DO23552 80 years, female, NA, stage:1, alive, 810 days 287.3
DO23550 69 years, male, NA, stage:1, alive, 990 days 271.7
DO45197 51 years, male, NA, stage:2, alive, 1170 days 265.4
DO45111 74 years, male, NA, stage:2, alive, 1590 days 146.8
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LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples 330
Samples
Sample ID Sample type nRPX
557 Tumor 0.9
965 Tumor 0.7
1021 Tumor 0.7
537 Tumor 0.6
661 Tumor 0.6
327 Tumor 0.6
955 Tumor 0.6
285 Tumor 0.6
367 Tumor 0.5
131 Tumor 0.5
865 Tumor 0.5
221 Tumor 0.5
331 Tumor 0.5
944 Normal 0.5
223 Tumor 0.5
353 Tumor 0.4
267 Tumor 0.4
957 Tumor 0.4
554 Normal 0.4
984 Normal 0.4
535 Tumor 0.4
413 Tumor 0.4
785 Tumor 0.4
567 Tumor 0.4
951 Tumor 0.4
636 Normal 0.4
467 Tumor 0.4
448 Normal 0.4
685 Tumor 0.3
524 Normal 0.3
918 Normal 0.3
271 Tumor 0.3
518 Normal 0.3
746 Normal 0.3
864 Normal 0.3
528 Normal 0.3
533 Tumor 0.3
523 Tumor 0.3
815 Tumor 0.3
558 Normal 0.3
232 Normal 0.3
497 Tumor 0.3
211 Tumor 0.3
195 Tumor 0.3
981 Tumor 0.3
393 Tumor 0.3
227 Tumor 0.3
214 Normal 0.3
135 Tumor 0.3
376 Normal 0.3
743 Tumor 0.3
261 Tumor 0.3
926 Normal 0.3
568 Normal 0.3
546 Normal 0.3
937 Tumor 0.3
515 Tumor 0.3
258 Normal 0.3
534 Normal 0.3
756 Normal 0.3
1014 Normal 0.3
213 Tumor 0.3
922 Normal 0.3
272 Normal 0.3
492 Normal 0.3
851 Tumor 0.3
517 Tumor 0.3
113 Tumor 0.3
967 Tumor 0.3
471 Tumor 0.3
564 Normal 0.3
1027 Tumor 0.3
715 Tumor 0.3
411 Tumor 0.3
983 Tumor 0.3
545 Tumor 0.3
861 Tumor 0.3
724 Normal 0.3
516 Normal 0.3
923 Tumor 0.3
484 Normal 0.3
218 Normal 0.3
1026 Normal 0.3
672 Normal 0.3
696 Normal 0.3
664 Normal 0.3
481 Tumor 0.3
1044 Normal 0.3
212 Normal 0.3
277 Tumor 0.3
514 Normal 0.3
913 Tumor 0.3
727 Tumor 0.3
231 Tumor 0.2
191 Tumor 0.2
526 Normal 0.2
355 Tumor 0.2
817 Tumor 0.2
571 Tumor 0.2
721 Tumor 0.2
745 Tumor 0.2
137 Tumor 0.2
312 Normal 0.2
525 Tumor 0.2
1022 Normal 0.2
738 Normal 0.2
916 Normal 0.2
728 Normal 0.2
1031 Tumor 0.2
921 Tumor 0.2
662 Normal 0.2
356 Normal 0.2
697 Tumor 0.2
228 Normal 0.2
852 Normal 0.2
142 Normal 0.2
866 Normal 0.2
443 Tumor 0.2
956 Normal 0.2
447 Tumor 0.2
222 Normal 0.2
737 Tumor 0.2
628 Normal 0.2
742 Normal 0.2
686 Normal 0.2
358 Normal 0.2
462 Normal 0.2
786 Normal 0.2
431 Tumor 0.2
477 Tumor 0.2
298 Normal 0.2
262 Normal 0.2
536 Normal 0.2
878 Normal 0.2
716 Normal 0.2
314 Normal 0.2
1043 Tumor 0.2
527 Tumor 0.2
572 Normal 0.2
882 Normal 0.2
1028 Normal 0.2
857 Tumor 0.2
387 Tumor 0.2
1032 Normal 0.2
964 Normal 0.2
553 Tumor 0.2
617 Tumor 0.2
394 Normal 0.2
574 Normal 0.2
395 Tumor 0.2
1042 Normal 0.2
494 Normal 0.2
824 Normal 0.2
665 Tumor 0.2
483 Tumor 0.2
284 Normal 0.2
778 Normal 0.2
415 Tumor 0.2
461 Tumor 0.2
915 Tumor 0.2
493 Tumor 0.2
777 Tumor 0.2
451 Tumor 0.2
1046 Normal 0.2
563 Tumor 0.2
427 Tumor 0.2
196 Normal 0.2
362 Normal 0.2
297 Tumor 0.2
1016 Normal 0.2
498 Normal 0.1
434 Normal 0.1
421 Tumor 0.1
1015 Tumor 0.1
982 Normal 0.1
978 Normal 0.1
392 Normal 0.1
257 Tumor 0.1
466 Normal 0.1
422 Normal 0.1
714 Normal 0.1
744 Normal 0.1
366 Normal 0.1
368 Normal 0.1
416 Normal 0.1
364 Normal 0.1
858 Normal 0.1
187 Tumor 0.1
455 Tumor 0.1
425 Tumor 0.1
286 Normal 0.1
873 Tumor 0.1
1025 Tumor 0.1
472 Normal 0.1
513 Tumor 0.1
452 Normal 0.1
426 Normal 0.1
463 Tumor 0.1
1013 Tumor 0.1
384 Normal 0.1
375 Tumor 0.1
396 Normal 0.1
352 Normal 0.1
641 Tumor 0.1
436 Normal 0.1
538 Normal 0.1
912 Normal 0.1
618 Normal 0.1
615 Tumor 0.1
474 Normal 0.1
663 Tumor 0.1
456 Normal 0.1
161 Tumor 0.1
1041 Tumor 0.1
433 Tumor 0.1
386 Normal 0.1
412 Normal 0.1
414 Normal 0.1
424 Normal 0.1
141 Tumor 0.1
881 Tumor 0.1
648 Normal 0.1
924 Normal 0.1
874 Normal 0.1
468 Normal 0.1
867 Tumor 0.1
755 Tumor 0.1
952 Normal 0.1
573 Tumor 0.1
488 Normal 0.1
482 Normal 0.1
975 Tumor 0.1
344 Normal 0.1
723 Tumor 0.1
473 Tumor 0.1
341 Tumor 0.1
487 Tumor 0.1
917 Tumor 0.1
818 Normal 0.1
351 Tumor 0.1
171 Tumor 0.1
332 Normal 0.1
616 Normal 0.1
385 Tumor 0.1
136 Normal 0.1
464 Normal 0.1
966 Normal 0.1
446 Normal 0.1
388 Normal 0.1
814 Normal 0.1
883 Tumor 0.1
145 Tumor 0.0
671 Tumor 0.0
465 Tumor 0.0
445 Tumor 0.0
138 Normal 0.0
192 Normal 0.0
328 Normal 0.0
365 Tumor 0.0
217 Tumor 0.0
698 Normal 0.0
224 Normal 0.0
361 Tumor 0.0
925 Tumor 0.0
976 Normal 0.0
423 Tumor 0.0
816 Normal 0.0
695 Tumor 0.0
635 Tumor 0.0
268 Normal 0.0
911 Tumor 0.0
642 Normal 0.0
647 Tumor 0.0
666 Normal 0.0
938 Normal 0.0
313 Tumor 0.0
862 Normal 0.0
114 Normal 0.0
278 Normal 0.0
963 Tumor 0.0
126 Normal 0.0
428 Normal 0.0
146 Normal 0.0
958 Normal 0.0
722 Normal 0.0
172 Normal 0.0
383 Tumor 0.0
977 Tumor 0.0
943 Tumor 0.0
128 Normal 0.0
968 Normal 0.0
311 Tumor -0.1
444 Normal -0.1
111 Normal -0.1
954 Normal -0.1
342 Normal -0.1
741 Tumor -0.1
127 Tumor -0.1
132 Normal -0.1
823 Tumor -0.1
713 Tumor -0.1
354 Normal -0.1
1045 Tumor -0.1
357 Tumor -0.1
432 Normal -0.1
953 Tumor -0.1
868 Normal -0.1
435 Tumor -0.1
124 Normal -0.1
162 Normal -0.2
491 Tumor -0.2
813 Tumor -0.2
363 Tumor -0.2
185 Tumor -0.2
478 Normal -0.2
914 Normal -0.2
884 Normal -0.2
148 Normal -0.2
188 Normal -0.2
627 Tumor -0.2
112 Tumor -0.2
147 Tumor -0.2
186 Normal -0.3
283 Tumor -0.3
391 Tumor -0.3
123 Tumor -0.3
343 Tumor -0.3
863 Tumor -0.4
125 Tumor -0.5
877 Tumor -0.6
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

Contact

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