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RPLP0
HPA
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  • SUMMARY

  • TISSUE

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  • RPLP0
CANCER LIVER CANCER Show tissue menu
BREAST CANCER CARCINOID CERVICAL CANCER COLORECTAL CANCER ENDOMETRIAL CANCER GLIOMA HEAD AND NECK CANCER LIVER CANCER LUNG CANCER LYMPHOMA
MELANOMA OVARIAN CANCER PANCREATIC CANCER PROSTATE CANCER RENAL CANCER SKIN CANCER STOMACH CANCER TESTIS CANCER THYROID CANCER UROTHELIAL CANCER
LIHC TCGA LIHC VALIDATION PROTEIN LIHC CPTAC PROTEIN EXPRESSION
ANTIBODIES
AND
VALIDATION
Dictionary
Liver cancer
Human cancer
Liver hepatocellular carcinoma
LIVER HEPATOCELLULAR CARCINOMA (TCGA) - Interactive survival scatter ploti

The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.

The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".

Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.

Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.

& Survival analysisi

Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.

RPLP0 is validated prognostic, high expression is unfavorable in Liver Hepatocellular Carcinoma (TCGA)


Stage:


Survival analysis
Current cut offi

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

:
Best expression cut offi

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

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

: 2257.15
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 1975.5
Number of samples 362
Samples
Sample Description pTPM
TCGA-FV-A3I0-01A 76 years, female, white, stage:Stage II, alive, 848 days 8323.4
TCGA-CC-A7II-01A 54 years, male, asian, stage:Stage IIIA, alive, 399 days 7218.8
TCGA-DD-AACP-01A 64 years, male, asian, stage:Stage I, alive, 415 days 6017.3
TCGA-G3-AAV6-01A 53 years, female, white, stage:Stage IIIA, dead, 65 days 6016.9
TCGA-DD-AA3A-01A 81 years, female, white, stage:Stage I, dead, 410 days 5960.3
TCGA-ED-A8O5-01A 59 years, female, asian, stage:Stage IIIA, alive, 406 days 5694.9
TCGA-BC-A112-01A 80 years, male, white, stage:'--, dead, 153 days 5692.8
TCGA-DD-AAE0-01A 45 years, female, asian, stage:Stage IIIA, alive, 555 days 5444.1
TCGA-5C-A9VG-01A 58 years, male, white, stage:Stage II, alive, 328 days 5136.1
TCGA-CC-A123-01A 24 years, female, asian, stage:Stage IIIA, alive, 219 days 5027.3
TCGA-CC-5258-01A 48 years, male, asian, stage:Stage II, dead, 129 days 4962.5
TCGA-G3-A25T-01A 45 years, female, white, stage:Stage IIIA, alive, 1553 days 4959.6
TCGA-XR-A8TF-01A 74 years, male, white, stage:Stage I, dead, 693 days 4921.7
TCGA-FV-A4ZP-01A 78 years, male, white, stage:Stage IIIA, dead, 2486 days 4907.8
TCGA-UB-A7MA-01A 62 years, female, white, stage:Stage II, alive, 848 days 4801.3
TCGA-EP-A2KA-01A 52 years, female, white, stage:Stage IIIA, dead, 627 days 4759.9
TCGA-DD-AADO-01A 55 years, male, asian, stage:Stage I, alive, 453 days 4491.3
TCGA-DD-AADI-01A 43 years, female, asian, stage:Stage I, alive, 1085 days 4212.9
TCGA-ED-A8O6-01A 50 years, female, asian, stage:Stage IIIA, dead, 56 days 4170.0
TCGA-CC-A3M9-01A 45 years, male, asian, stage:Stage IIIA, dead, 300 days 4146.7
TCGA-BC-A69H-01A 64 years, male, white, stage:Stage II, alive, 444 days 4122.7
TCGA-CC-5263-01A 35 years, male, asian, stage:Stage IIIA, dead, 129 days 4108.8
TCGA-DD-A1EF-01A 57 years, female, white, stage:Stage I, dead, 394 days 4072.5
TCGA-DD-A73G-01A 73 years, female, white, stage:Stage I, alive, 3478 days 4067.9
TCGA-G3-A25X-01A 73 years, male, asian, stage:Stage II, alive, 1779 days 4007.9
TCGA-DD-AAVU-01A 46 years, male, asian, stage:Stage II, alive, 2202 days 3958.2
TCGA-XR-A8TC-01A 43 years, female, white, stage:Stage I, alive, 1339 days 3938.2
TCGA-CC-A9FW-01A 68 years, male, asian, stage:Stage IIIA, alive, 248 days 3931.7
TCGA-FV-A4ZQ-01A 52 years, male, white, stage:Stage I, alive, 12 days 3806.6
TCGA-G3-A7M9-01A 70 years, male, white, stage:Stage IIIB, dead, 56 days 3787.6
TCGA-CC-A8HU-01A 39 years, female, asian, stage:Stage IIIA, dead, 344 days 3729.1
TCGA-G3-A25Y-01A 52 years, female, asian, stage:Stage I, dead, 452 days 3694.9
TCGA-CC-A8HV-01A 51 years, female, asian, stage:Stage II, dead, 279 days 3694.4
TCGA-RC-A6M6-01A 75 years, male, white, stage:Stage II, alive, 9 days 3592.4
TCGA-CC-A5UE-01A 48 years, male, asian, stage:Stage IIIB, dead, 272 days 3590.0
TCGA-DD-A1EH-01A 23 years, male, white, stage:Stage III, alive, 1495 days 3572.9
TCGA-DD-AADP-01A 45 years, male, asian, stage:Stage I, alive, 458 days 3535.5
TCGA-DD-AACN-01A 32 years, male, asian, stage:Stage I, alive, 1302 days 3507.8
TCGA-EP-A2KB-01A 46 years, female, white, stage:Stage I, dead, 596 days 3483.4
TCGA-KR-A7K7-01A 61 years, female, white, stage:Stage II, alive, 951 days 3458.4
TCGA-DD-AADN-01A 59 years, male, asian, stage:Stage I, alive, 898 days 3394.6
TCGA-DD-A3A7-01A 67 years, male, stage:Stage IIIB, dead, 419 days 3385.3
TCGA-DD-A4NN-01A 56 years, female, white, stage:Stage I, dead, 899 days 3290.6
TCGA-CC-A8HS-01A 18 years, male, asian, stage:Stage IIIC, dead, 300 days 3266.8
TCGA-DD-AADW-01A 48 years, male, asian, stage:Stage I, alive, 587 days 3246.6
TCGA-DD-A39V-01A 77 years, male, white, stage:Stage II, dead, 643 days 3235.9
TCGA-CC-A5UC-01A 63 years, male, asian, stage:Stage IIIA, dead, 347 days 3213.5
TCGA-ED-A5KG-01A 60 years, female, asian, stage:Stage II, alive, 854 days 3199.6
TCGA-DD-AAED-01A 51 years, male, asian, stage:Stage I, alive, 763 days 3151.3
TCGA-DD-AACW-01A 43 years, male, asian, stage:Stage I, alive, 1424 days 3144.7
TCGA-FV-A23B-01A 70 years, female, white, stage:Stage II, dead, 1852 days 3122.3
TCGA-DD-AADC-01A 53 years, male, asian, stage:Stage I, dead, 425 days 3041.7
TCGA-DD-AACB-01A 74 years, female, asian, stage:Stage I, alive, 2324 days 2990.9
TCGA-YA-A8S7-01A 68 years, male, white, stage:Stage IIIA, dead, 412 days 2967.0
TCGA-DD-AADB-01A 51 years, male, asian, stage:Stage I, alive, 1242 days 2962.0
TCGA-DD-AAVP-01A 48 years, male, asian, stage:Stage I, alive, 2752 days 2930.3
TCGA-DD-A3A3-01A 45 years, male, asian, stage:Stage I, dead, 535 days 2905.5
TCGA-DD-AACG-01A 52 years, male, asian, stage:Stage II, dead, 469 days 2890.7
TCGA-DD-AACY-01A 61 years, male, asian, stage:Stage I, alive, 1450 days 2876.4
TCGA-DD-A119-01A 40 years, male, asian, stage:Stage IV, dead, 223 days 2874.6
TCGA-DD-A39Y-01A 67 years, male, asian, stage:Stage I, dead, 171 days 2862.9
TCGA-CC-5261-01A 44 years, male, asian, stage:Stage II, dead, 97 days 2835.5
TCGA-G3-A7M6-01A 60 years, female, white, stage:Stage I, alive, 632 days 2830.5
TCGA-DD-A1EJ-01A 71 years, female, white, stage:Stage IIIC, dead, 1005 days 2825.8
TCGA-DD-AAD5-01A 54 years, male, asian, stage:Stage I, alive, 1345 days 2806.4
TCGA-DD-AADD-01A 51 years, male, asian, stage:Stage I, alive, 1231 days 2774.0
TCGA-ED-A66X-01A 35 years, male, asian, stage:Stage IIIA, alive, 406 days 2749.8
TCGA-BW-A5NO-01A 50 years, male, black or african american, stage:Stage IIIA, alive, 20 days 2745.3
TCGA-K7-AAU7-01A 61 years, male, white, stage:Stage II, alive, 359 days 2727.1
TCGA-DD-AACZ-01A 63 years, female, asian, stage:Stage I, dead, 171 days 2706.5
TCGA-CC-5264-01A 71 years, male, asian, stage:Stage IIIA, dead, 102 days 2694.8
TCGA-DD-AAVS-01A 56 years, male, asian, stage:Stage I, alive, 1823 days 2692.2
TCGA-ED-A66Y-01A 51 years, female, asian, stage:Stage IIIA, dead, 296 days 2689.7
TCGA-2Y-A9GY-01A 64 years, female, white, stage:Stage II, dead, 757 days 2676.4
TCGA-DD-AACK-01A 70 years, male, asian, stage:Stage I, alive, 9 days 2632.8
TCGA-DD-AAEI-01A 72 years, male, asian, stage:Stage I, alive, 1531 days 2628.4
TCGA-CC-5260-01A 61 years, female, asian, stage:Stage IIIC, dead, 87 days 2622.1
TCGA-UB-A7MB-01A 24 years, male, white, stage:Stage II, alive, 601 days 2615.6
TCGA-ES-A2HS-01A 80 years, male, white, stage:Stage I, dead, 688 days 2586.6
TCGA-DD-AACL-01A 66 years, female, asian, stage:Stage I, dead, 107 days 2575.6
TCGA-DD-A4NH-01A 65 years, female, white, stage:Stage IIIB, alive, 917 days 2555.0
TCGA-2Y-A9H7-01A 81 years, female, white, stage:Stage I, alive, 1168 days 2530.0
TCGA-CC-5262-01A 67 years, male, asian, stage:Stage IIIC, dead, 103 days 2517.9
TCGA-RC-A7SH-01A 42 years, male, asian, stage:Stage II, alive, 468 days 2506.9
TCGA-CC-A7IE-01A 57 years, male, asian, stage:Stage IIIA, dead, 217 days 2503.9
TCGA-DD-AACQ-01A 50 years, male, asian, stage:Stage II, dead, 432 days 2503.2
TCGA-MI-A75C-01A 64 years, male, white, stage:Stage I, alive, 291 days 2497.5
TCGA-MI-A75H-01A 77 years, male, white, stage:'--, alive, 747 days 2487.2
TCGA-CC-A3MB-01A 36 years, male, asian, stage:Stage IIIA, dead, 315 days 2483.2
TCGA-ED-A7PX-01A 48 years, female, asian, stage:Stage II, alive, 6 days 2472.9
TCGA-DD-A4NR-01A 85 years, female, white, stage:Stage I, dead, 9 days 2470.9
TCGA-DD-A1EI-01A 46 years, male, asian, stage:Stage I, alive, 183 days 2462.7
TCGA-DD-A39Z-01A 43 years, female, stage:Stage II, dead, 601 days 2443.9
TCGA-DD-AAVQ-01A 38 years, male, asian, stage:Stage I, alive, 2728 days 2397.0
TCGA-EP-A3RK-01A 73 years, male, white, stage:Stage IIIA, alive, 363 days 2387.2
TCGA-BC-A10Q-01A 72 years, female, white, stage:'--, dead, 1135 days 2382.2
TCGA-DD-A1EL-01A 23 years, male, black or african american, stage:Stage II, dead, 415 days 2355.6
TCGA-DD-A3A1-01A 65 years, male, stage:Stage IIIA, dead, 233 days 2352.7
TCGA-BC-A5W4-01A 69 years, male, white, stage:Stage IIIA, dead, 547 days 2342.7
TCGA-ED-A7PZ-01A 61 years, male, asian, stage:Stage II, alive, 6 days 2324.7
TCGA-RG-A7D4-01A 69 years, male, black or african american, stage:Stage II, alive, 1098 days 2286.0
TCGA-DD-A39X-01A 78 years, female, white, stage:Stage I, dead, 1694 days 2283.1
TCGA-CC-A1HT-01A 50 years, male, asian, stage:Stage IIIA, dead, 101 days 2273.3
TCGA-DD-A114-01A 42 years, male, black or african american, stage:Stage II, dead, 1149 days 2263.7
TCGA-DD-AACF-01A 68 years, male, asian, stage:Stage I, dead, 365 days 2262.0
TCGA-FV-A3R2-01A 75 years, male, white, stage:Stage I, dead, 194 days 2257.2
TCGA-MI-A75I-01A 61 years, male, black or african american, stage:'--, alive, 630 days 2241.1
TCGA-DD-A73E-01A 66 years, male, white, stage:Stage I, alive, 44 days 2233.7
TCGA-G3-AAUZ-01A 48 years, male, stage:Stage I, alive, 480 days 2222.0
TCGA-EP-A26S-01A 70 years, male, white, stage:Stage I, alive, 608 days 2213.7
TCGA-DD-A39W-01A 29 years, female, white, stage:Stage III, dead, 827 days 2200.3
TCGA-DD-AAVZ-01A 38 years, male, asian, stage:Stage I, alive, 1900 days 2190.3
TCGA-ED-A7PY-01A 20 years, female, asian, stage:Stage II, alive, 390 days 2186.8
TCGA-G3-AAV7-01A 38 years, male, asian, stage:Stage II, alive, 361 days 2179.6
TCGA-G3-AAV1-01A 51 years, male, asian, stage:Stage IIIC, dead, 359 days 2159.0
TCGA-DD-AACJ-01A 75 years, male, asian, stage:Stage II, alive, 2102 days 2155.4
TCGA-CC-A7IJ-01A 56 years, male, asian, stage:Stage II, alive, 382 days 2132.3
TCGA-DD-AAE1-01A 52 years, male, asian, stage:Stage I, alive, 552 days 2122.7
TCGA-DD-AACO-01A 40 years, male, asian, stage:Stage I, alive, 1876 days 2119.8
TCGA-CC-A7IG-01A 47 years, male, asian, stage:Stage II, dead, 299 days 2065.3
TCGA-2Y-A9GS-01A 58 years, male, white, stage:'--, dead, 724 days 2064.4
TCGA-DD-A3A9-01A 64 years, female, white, stage:Stage IVB, dead, 931 days 2060.3
TCGA-DD-AACU-01A 59 years, male, asian, stage:Stage I, alive, 1567 days 2047.0
TCGA-G3-AAV5-01A 67 years, male, white, stage:Stage II, alive, 354 days 2038.1
TCGA-CC-A9FS-01A 55 years, male, asian, stage:Stage II, alive, 211 days 2021.2
TCGA-ZS-A9CG-01A 55 years, male, white, stage:Stage II, alive, 341 days 2003.7
TCGA-DD-AACA-01A 65 years, male, asian, stage:Stage I, alive, 2301 days 2001.7
TCGA-DD-A118-01A 77 years, female, white, stage:Stage II, alive, 3437 days 1976.1
TCGA-ZP-A9D4-01A 64 years, female, white, stage:'--, alive, 395 days 1970.3
TCGA-CC-A3MA-01A 61 years, male, asian, stage:Stage IIIA, dead, 303 days 1968.7
TCGA-BC-A3KF-01A 66 years, female, white, stage:Stage I, alive, 8 days 1964.9
TCGA-DD-A4NJ-01A 54 years, female, white, stage:Stage II, alive, 928 days 1955.7
TCGA-MI-A75E-01A 61 years, male, white, stage:Stage IIIC, alive, 507 days 1945.8
TCGA-FV-A2QQ-01A 80 years, male, white, stage:Stage I, alive, 729 days 1944.5
TCGA-G3-A25U-01A 63 years, female, asian, stage:Stage I, alive, 1636 days 1934.8
TCGA-DD-AADJ-01A 70 years, female, asian, stage:Stage I, alive, 1066 days 1932.6
TCGA-CC-A7IK-01A 59 years, male, asian, stage:Stage IIIA, dead, 262 days 1926.5
TCGA-DD-A1EC-01A 20 years, female, white, stage:Stage I, alive, 602 days 1893.0
TCGA-DD-AACX-01A 66 years, male, asian, stage:Stage II, alive, 170 days 1886.5
TCGA-DD-AAD1-01A 51 years, female, asian, stage:Stage I, alive, 564 days 1879.4
TCGA-DD-AACC-01A 61 years, male, asian, stage:Stage I, dead, 1685 days 1862.8
TCGA-DD-AAW2-01A 69 years, male, asian, stage:Stage I, alive, 1855 days 1856.5
TCGA-FV-A3I1-01A 81 years, female, white, stage:Stage II, dead, 247 days 1849.5
TCGA-EP-A3JL-01A 76 years, male, white, stage:Stage I, alive, 303 days 1831.9
TCGA-BC-A10Y-01A 76 years, male, white, stage:'--, dead, 711 days 1822.4
TCGA-2Y-A9H0-01A 49 years, male, white, stage:Stage IIIA, alive, 3675 days 1819.0
TCGA-WX-AA44-01A 64 years, female, white, stage:Stage I, alive, 615 days 1816.9
TCGA-XR-A8TE-01A 16 years, male, white, stage:Stage IIIA, alive, 925 days 1814.3
TCGA-BC-A10T-01A 76 years, male, white, stage:'--, dead, 837 days 1813.9
TCGA-G3-AAV4-01A 83 years, female, white, stage:Stage I, dead, 27 days 1813.1
TCGA-DD-A113-01A 55 years, female, white, stage:Stage II, alive, 2425 days 1792.5
TCGA-DD-A4NA-01A 67 years, female, white, stage:Stage IIIC, alive, 1008 days 1788.5
TCGA-DD-AACI-01A 69 years, male, asian, stage:Stage II, alive, 1618 days 1783.8
TCGA-ZP-A9CZ-01A 72 years, male, asian, stage:'--, alive, 706 days 1779.8
TCGA-ZP-A9D0-01A 67 years, female, black or african american, stage:'--, alive, 1091 days 1778.5
TCGA-RC-A6M4-01A 74 years, female, white, stage:Stage IIIA, alive, 22 days 1773.3
TCGA-ZP-A9D2-01A 51 years, male, white, stage:'--, dead, 765 days 1772.8
TCGA-MI-A75G-01A 63 years, male, white, stage:Stage II, alive, 698 days 1772.3
TCGA-DD-A4ND-01A 56 years, female, white, stage:Stage I, alive, 2746 days 1771.9
TCGA-G3-AAV2-01A 50 years, male, white, stage:Stage I, alive, 372 days 1768.6
TCGA-G3-A3CK-01A 61 years, male, asian, stage:Stage I, alive, 585 days 1761.3
TCGA-UB-A7ME-01A 51 years, male, asian, stage:Stage I, alive, 486 days 1745.5
TCGA-HP-A5N0-01A 90 years, female, stage:'--, dead, 752 days 1740.2
TCGA-DD-AAEH-01A 73 years, male, asian, stage:Stage I, alive, 784 days 1737.1
TCGA-DD-AAW3-01A 69 years, male, asian, stage:Stage I, alive, 1633 days 1732.7
TCGA-FV-A495-01A 51 years, female, white, stage:Stage II, alive, 1 days 1731.5
TCGA-2Y-A9H1-01A 58 years, male, white, stage:Stage I, dead, 1229 days 1726.0
TCGA-2Y-A9H8-01A 85 years, female, white, stage:'--, dead, 633 days 1717.6
TCGA-2Y-A9H3-01A 45 years, male, white, stage:Stage II, alive, 1516 days 1687.8
TCGA-DD-AADM-01A 58 years, male, asian, stage:Stage II, dead, 12 days 1687.5
TCGA-BC-A8YO-01A 66 years, female, white, stage:Stage IIIC, alive, 562 days 1682.5
TCGA-ZS-A9CE-01A 79 years, female, white, stage:Stage II, alive, 1241 days 1680.6
TCGA-DD-A116-01A 68 years, male, asian, stage:Stage IIIA, dead, 1622 days 1678.9
TCGA-DD-AACD-01A 48 years, male, asian, stage:Stage I, dead, 381 days 1676.0
TCGA-CC-A5UD-01A 45 years, male, asian, stage:Stage IIIA, dead, 304 days 1671.2
TCGA-DD-AADR-01A 58 years, male, asian, stage:Stage I, alive, 2028 days 1644.1
TCGA-DD-A4NE-01A 75 years, female, white, stage:Stage IIIA, dead, 660 days 1640.0
TCGA-CC-A8HT-01A 74 years, male, asian, stage:Stage IIIA, dead, 140 days 1639.8
TCGA-BC-A10U-01A 69 years, male, white, stage:'--, dead, 837 days 1638.5
TCGA-G3-A3CH-01A 53 years, male, asian, stage:Stage IIIA, alive, 780 days 1635.4
TCGA-5C-A9VH-01A 70 years, male, white, stage:Stage I, alive, 322 days 1635.3
TCGA-2Y-A9H6-01A 68 years, female, white, stage:Stage I, alive, 357 days 1626.3
TCGA-G3-A5SJ-01A 59 years, male, white, stage:Stage I, alive, 698 days 1619.3
TCGA-DD-A1EE-01A 73 years, male, white, stage:Stage IIIA, dead, 349 days 1617.9
TCGA-G3-A5SI-01A 44 years, male, asian, stage:Stage II, dead, 768 days 1615.3
TCGA-DD-AAE6-01A 59 years, female, asian, stage:Stage I, alive, 141 days 1613.9
TCGA-ZS-A9CD-01A 73 years, male, white, stage:Stage II, dead, 1386 days 1607.6
TCGA-DD-AADL-01A 58 years, male, asian, stage:Stage I, alive, 636 days 1603.3
TCGA-2Y-A9H2-01A 64 years, female, white, stage:Stage I, alive, 1731 days 1602.9
TCGA-G3-AAV0-01A 58 years, male, asian, stage:Stage I, alive, 476 days 1592.5
TCGA-DD-AADA-01A 66 years, female, asian, stage:Stage I, alive, 1233 days 1588.5
TCGA-ED-A82E-01A 60 years, female, asian, stage:Stage IIIA, alive, 408 days 1587.4
TCGA-PD-A5DF-01A 58 years, female, white, stage:Stage IIIB, dead, 639 days 1586.8
TCGA-5R-AA1C-01A 57 years, male, white, stage:Stage II, alive, 520 days 1562.0
TCGA-DD-A3A4-01A 37 years, male, white, stage:Stage IIIA, dead, 612 days 1551.1
TCGA-5R-AAAM-01A 65 years, female, white, stage:Stage II, dead, 46 days 1538.3
TCGA-GJ-A3OU-01A 59 years, male, white, stage:Stage I, alive, 879 days 1534.9
TCGA-DD-A4NS-01A 61 years, female, white, stage:Stage I, dead, 2456 days 1532.9
TCGA-DD-AACH-01A 69 years, male, asian, stage:Stage II, dead, 195 days 1526.2
TCGA-DD-AAVW-01A 35 years, male, asian, stage:Stage I, alive, 2317 days 1518.2
TCGA-QA-A7B7-01A 48 years, male, black or african american, stage:Stage II, alive, 94 days 1514.1
TCGA-G3-A7M5-01A 76 years, male, asian, stage:Stage I, alive, 447 days 1513.7
TCGA-BD-A3EP-01A 75 years, female, black or african american, stage:Stage I, alive, 409 days 1499.0
TCGA-DD-AAD2-01A 66 years, male, asian, stage:Stage I, alive, 658 days 1493.1
TCGA-FV-A3R3-01A 38 years, female, white, stage:Stage I, dead, 366 days 1492.2
TCGA-T1-A6J8-01A 68 years, male, white, stage:'--, alive, 23 days 1490.4
TCGA-ED-A7XO-01A 29 years, male, asian, stage:Stage IIIA, alive, 427 days 1486.8
TCGA-5C-AAPD-01A 61 years, male, asian, stage:Stage II, alive, 20 days 1486.0
TCGA-DD-A73D-01A 68 years, female, white, stage:Stage II, alive, 693 days 1481.4
TCGA-DD-A4NQ-01A 60 years, male, white, stage:Stage II, dead, 373 days 1481.0
TCGA-BC-A10S-01A 81 years, male, white, stage:'--, dead, 1423 days 1477.5
TCGA-DD-AAEK-01A 51 years, male, asian, stage:Stage II, alive, 1067 days 1473.9
TCGA-BC-A10W-01A 50 years, male, asian, stage:'--, dead, 91 days 1472.5
TCGA-EP-A2KC-01A 62 years, male, black or african american, stage:Stage I, dead, 19 days 1461.0
TCGA-EP-A12J-01A 62 years, male, black or african american, stage:Stage I, alive, 570 days 1451.3
TCGA-DD-AADY-01A 55 years, female, asian, stage:Stage I, alive, 555 days 1450.6
TCGA-G3-A25V-01A 68 years, male, white, stage:Stage I, alive, 860 days 1444.8
TCGA-BC-A69I-01A 69 years, male, white, stage:Stage I, alive, 387 days 1444.5
TCGA-KR-A7K8-01A 57 years, male, stage:Stage I, alive, 906 days 1438.6
TCGA-2Y-A9H5-01A 59 years, female, white, stage:Stage I, dead, 555 days 1436.2
TCGA-G3-AAV3-01A 58 years, female, white, stage:Stage II, alive, 412 days 1432.6
TCGA-KR-A7K2-01A 64 years, male, white, stage:Stage I, alive, 829 days 1431.4
TCGA-WQ-A9G7-01A 71 years, female, white, stage:'--, alive, 30 days 1428.0
TCGA-DD-AADG-01A 70 years, male, asian, stage:Stage IIIA, alive, 1145 days 1425.0
TCGA-DD-AAEG-01A 59 years, female, asian, stage:Stage I, alive, 719 days 1413.9
TCGA-RC-A6M5-01A 20 years, female, white, stage:Stage IVA, alive, 15 days 1410.5
TCGA-DD-AAVX-01A 38 years, male, asian, stage:Stage II, alive, 1718 days 1406.9
TCGA-G3-A25Z-01A 58 years, male, asian, stage:Stage I, alive, 655 days 1403.9
TCGA-BC-A216-01A 62 years, female, white, stage:Stage IIIA, alive, 1351 days 1402.0
TCGA-WQ-AB4B-01A 62 years, male, white, stage:Stage II, alive, 395 days 1396.2
TCGA-ED-A97K-01A 54 years, male, asian, stage:Stage IIIA, alive, 6 days 1390.0
TCGA-DD-AACS-01A 39 years, male, asian, stage:Stage I, alive, 1804 days 1388.8
TCGA-DD-AAEE-01A 55 years, male, asian, stage:Stage I, alive, 810 days 1383.9
TCGA-DD-AAVV-01A 56 years, male, asian, stage:Stage II, alive, 2455 days 1379.6
TCGA-DD-AADV-01A 50 years, male, asian, stage:Stage I, alive, 574 days 1379.1
TCGA-DD-AAD0-01A 73 years, female, asian, stage:Stage I, alive, 137 days 1375.6
TCGA-DD-AAVR-01A 44 years, male, asian, stage:Stage I, alive, 2513 days 1372.3
TCGA-DD-AAC8-01A 72 years, male, asian, stage:Stage I, dead, 16 days 1371.0
TCGA-K7-A6G5-01A 66 years, male, white, stage:Stage I, alive, 512 days 1359.8
TCGA-DD-A73C-01A 65 years, female, white, stage:Stage IIIA, alive, 701 days 1355.6
TCGA-3K-AAZ8-01A 65 years, male, black or african american, stage:Stage IIIB, alive, 396 days 1352.3
TCGA-UB-A7MF-01A 56 years, male, white, stage:Stage IIIA, dead, 214 days 1345.9
TCGA-DD-A4NV-01A 61 years, male, white, stage:Stage IIIA, alive, 2398 days 1345.8
TCGA-G3-A25S-01A 64 years, male, white, stage:Stage I, dead, 416 days 1344.9
TCGA-2Y-A9GW-01A 64 years, male, white, stage:Stage I, dead, 1271 days 1343.6
TCGA-RC-A7SB-01A 53 years, male, asian, stage:Stage II, alive, 588 days 1340.6
TCGA-DD-A4NB-01A 25 years, male, white, stage:Stage I, alive, 989 days 1340.1
TCGA-ED-A627-01A 74 years, male, white, stage:Stage I, alive, 423 days 1326.8
TCGA-RC-A7SK-01A 59 years, male, asian, stage:Stage I, alive, 472 days 1326.2
TCGA-DD-A1EG-01A 76 years, male, white, stage:Stage I, dead, 1372 days 1323.4
TCGA-DD-AAE2-01A 51 years, male, asian, stage:Stage I, alive, 638 days 1323.2
TCGA-UB-A7MC-01A 59 years, male, white, stage:Stage IIIA, alive, 500 days 1319.8
TCGA-DD-AAE9-01A 69 years, male, asian, stage:Stage I, alive, 722 days 1317.6
TCGA-RC-A7S9-01A 47 years, female, asian, stage:Stage I, alive, 640 days 1294.1
TCGA-G3-A5SL-01A 70 years, male, white, stage:Stage II, alive, 621 days 1288.2
TCGA-DD-AAVY-01A 56 years, male, asian, stage:Stage IIIA, alive, 1970 days 1282.5
TCGA-UB-AA0U-01A 60 years, male, white, stage:Stage II, alive, 327 days 1271.0
TCGA-BC-A10R-01A 66 years, female, white, stage:'--, dead, 308 days 1271.0
TCGA-5R-AA1D-01A 17 years, female, white, stage:Stage IIIA, alive, 449 days 1267.4
TCGA-G3-A7M7-01A 65 years, male, white, stage:Stage I, alive, 361 days 1266.6
TCGA-GJ-A9DB-01A 68 years, male, white, stage:Stage I, dead, 67 days 1266.3
TCGA-2Y-A9GU-01A 55 years, female, white, stage:Stage I, alive, 1939 days 1264.1
TCGA-DD-A3A8-01A 75 years, male, white, stage:Stage II, dead, 11 days 1260.3
TCGA-DD-AAW1-01A 55 years, male, asian, stage:Stage IIIA, alive, 1989 days 1260.1
TCGA-CC-A7IH-01A 58 years, male, asian, stage:Stage IIIA, alive, 365 days 1251.0
TCGA-2Y-A9HA-01A 70 years, male, white, stage:Stage II, dead, 36 days 1249.6
TCGA-LG-A6GG-01A 79 years, female, white, stage:Stage II, alive, 387 days 1239.4
TCGA-DD-AADQ-01A 59 years, male, asian, stage:Stage II, alive, 436 days 1237.9
TCGA-G3-A6UC-01A 65 years, male, white, stage:Stage IIIB, alive, 671 days 1236.8
TCGA-G3-A3CJ-01A 52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days 1202.1
TCGA-MR-A8JO-01A 34 years, male, white, stage:Stage I, alive, 330 days 1199.4
TCGA-DD-AADK-01A 68 years, female, asian, stage:Stage II, alive, 1049 days 1177.7
TCGA-XR-A8TG-01A 58 years, male, white, stage:Stage I, alive, 898 days 1174.6
TCGA-DD-A4NG-01A 77 years, male, white, stage:Stage IIIA, dead, 802 days 1174.3
TCGA-WX-AA47-01A 33 years, female, white, stage:Stage IIIA, dead, 556 days 1154.4
TCGA-DD-AAW0-01A 54 years, male, asian, stage:Stage I, alive, 2015 days 1151.9
TCGA-O8-A75V-01A 54 years, male, stage:Stage I, alive, 538 days 1143.9
TCGA-KR-A7K0-01A 65 years, male, white, stage:Stage I, dead, 65 days 1142.8
TCGA-DD-AAE4-01A 49 years, female, asian, stage:Stage I, alive, 608 days 1138.6
TCGA-HP-A5MZ-01A 78 years, male, stage:Stage I, dead, 91 days 1133.4
TCGA-DD-A4NF-01A 72 years, male, white, stage:Stage I, alive, 942 days 1124.5
TCGA-2Y-A9GX-01A 68 years, male, white, stage:Stage I, alive, 2442 days 1123.1
TCGA-DD-AADF-01A 64 years, female, asian, stage:Stage I, dead, 115 days 1119.8
TCGA-BC-A110-01A 51 years, female, black or african american, stage:'--, dead, 2116 days 1112.7
TCGA-FV-A2QR-01A 75 years, male, white, stage:Stage I, dead, 581 days 1110.2
TCGA-DD-A1EA-01A 68 years, male, asian, stage:Stage II, alive, 2415 days 1106.2
TCGA-BD-A2L6-01A 69 years, male, white, stage:'--, alive, 1363 days 1105.1
TCGA-BC-A3KG-01A 68 years, female, white, stage:Stage II, alive, 680 days 1101.0
TCGA-DD-A4NP-01A 32 years, male, white, stage:Stage I, alive, 3308 days 1100.5
TCGA-DD-A3A5-01A 66 years, female, white, stage:Stage III, dead, 3125 days 1098.0
TCGA-ED-A4XI-01A 58 years, male, asian, stage:Stage II, alive, 819 days 1094.8
TCGA-UB-A7MD-01A 67 years, male, black or african american, stage:Stage I, dead, 52 days 1087.7
TCGA-DD-AAEB-01A 60 years, male, asian, stage:Stage I, alive, 478 days 1081.2
TCGA-WX-AA46-01A 61 years, male, white, stage:Stage II, alive, 756 days 1069.7
TCGA-DD-AACV-01A 53 years, male, asian, stage:Stage I, alive, 1531 days 1069.0
TCGA-ED-A459-01A 47 years, male, asian, stage:Stage II, alive, 910 days 1069.0
TCGA-DD-A3A6-01A 72 years, female, white, stage:Stage II, dead, 3258 days 1063.5
TCGA-ZS-A9CF-01A 64 years, male, white, stage:Stage II, alive, 2412 days 1052.2
TCGA-CC-A3MC-01A 54 years, male, asian, stage:Stage IIIA, alive, 363 days 1048.7
TCGA-CC-5259-01A 60 years, female, asian, stage:Stage IIIC, alive, 250 days 1046.8
TCGA-2Y-A9H4-01A 68 years, male, black or african american, stage:Stage I, alive, 1452 days 1046.5
TCGA-DD-AAD8-01A 73 years, female, asian, stage:Stage I, alive, 1219 days 1045.6
TCGA-DD-AADS-01A 63 years, male, asian, stage:Stage I, alive, 474 days 1044.1
TCGA-2Y-A9H9-01A 70 years, male, white, stage:Stage I, alive, 697 days 1042.8
TCGA-DD-A73F-01A 77 years, female, white, stage:Stage I, alive, 1085 days 1041.4
TCGA-DD-A115-01A 53 years, male, white, stage:Stage IIIA, dead, 2542 days 1038.5
TCGA-BC-A10Z-01A 62 years, female, white, stage:Stage I, dead, 34 days 1038.1
TCGA-DD-A73A-01A 71 years, male, white, stage:Stage I, alive, 728 days 1031.8
TCGA-LG-A9QC-01A 48 years, male, white, stage:Stage I, alive, 425 days 1027.8
TCGA-DD-A4NO-01A 65 years, male, white, stage:Stage I, alive, 2245 days 1019.3
TCGA-DD-A11B-01A 73 years, male, white, stage:Stage I, dead, 14 days 1013.9
TCGA-2Y-A9HB-01A 66 years, male, stage:Stage I, alive, 260 days 993.0
TCGA-K7-A5RG-01A 66 years, male, black or african american, stage:Stage I, alive, 519 days 991.7
TCGA-DD-AAC9-01A 51 years, male, asian, stage:Stage I, alive, 347 days 978.5
TCGA-DD-AAD6-01A 66 years, male, asian, stage:Stage IIIA, alive, 672 days 975.7
TCGA-DD-AAD3-01A 43 years, male, asian, stage:Stage I, alive, 1295 days 975.7
TCGA-2Y-A9GV-01A 54 years, female, white, stage:Stage I, dead, 2532 days 968.6
TCGA-G3-A3CG-01A 80 years, male, white, stage:Stage I, alive, 673 days 958.9
TCGA-BC-A217-01A 75 years, female, white, stage:Stage II, dead, 1397 days 941.8
TCGA-DD-AAEA-01A 65 years, male, asian, stage:Stage I, alive, 575 days 939.8
TCGA-UB-AA0V-01A 69 years, female, white, stage:Stage I, alive, 314 days 933.8
TCGA-ED-A7XP-01A 53 years, female, asian, stage:Stage II, alive, 400 days 927.2
TCGA-WJ-A86L-01A 68 years, female, white, stage:Stage I, alive, 345 days 925.1
TCGA-G3-A3CI-01A 71 years, male, white, stage:Stage I, alive, 180 days 921.0
TCGA-CC-A7IF-01A 59 years, male, asian, stage:Stage IIIA, dead, 649 days 919.4
TCGA-2Y-A9GZ-01A 82 years, female, white, stage:Stage II, dead, 848 days 911.0
TCGA-NI-A4U2-01A 71 years, male, white, stage:Stage IIIA, dead, 1791 days 905.9
TCGA-ZP-A9D1-01A 56 years, female, white, stage:'--, alive, 21 days 900.3
TCGA-DD-AACE-01A 62 years, male, asian, stage:Stage I, alive, 2184 days 892.1
TCGA-DD-A3A2-01A 76 years, female, white, stage:Stage I, dead, 2131 days 886.5
TCGA-BC-A10X-01A 52 years, female, white, stage:Stage IIIA, dead, 770 days 878.3
TCGA-4R-AA8I-01A 66 years, male, white, stage:Stage II, dead, 262 days 876.8
TCGA-GJ-A6C0-01A 75 years, female, white, stage:Stage II, dead, 31 days 870.4
TCGA-FV-A496-01A 84 years, female, white, stage:Stage I, alive, 10 days 867.5
TCGA-DD-A4NK-01A 80 years, female, white, stage:Stage IIIA, dead, 1210 days 853.7
TCGA-MR-A520-01A 58 years, male, white, stage:Stage I, alive, 229 days 851.4
TCGA-ES-A2HT-01A 54 years, male, black or african american, stage:Stage I, dead, 438 days 850.1
TCGA-DD-A1ED-01A 68 years, male, white, stage:Stage I, alive, 2301 days 841.9
TCGA-G3-A5SM-01A 58 years, male, white, stage:Stage II, alive, 520 days 841.8
TCGA-DD-A1EK-01A 64 years, female, white, stage:Stage IVB, dead, 558 days 838.3
TCGA-DD-AACT-01A 69 years, female, asian, stage:Stage I, alive, 1562 days 835.3
TCGA-CC-A7IL-01A 61 years, male, asian, stage:Stage IIIA, dead, 278 days 827.5
TCGA-DD-AAE7-01A 72 years, male, asian, stage:Stage I, alive, 644 days 767.6
TCGA-XR-A8TD-01A 49 years, female, white, stage:Stage IIIB, alive, 1030 days 761.4
TCGA-DD-AADU-01A 60 years, male, asian, stage:Stage II, alive, 554 days 743.5
TCGA-G3-A7M8-01A 31 years, male, asian, stage:Stage I, alive, 430 days 743.3
TCGA-BD-A3ER-01A 62 years, male, white, stage:Stage II, alive, 1115 days 737.7
TCGA-RC-A7SF-01A 66 years, male, asian, stage:Stage I, alive, 579 days 718.9
TCGA-ZP-A9CV-01A 59 years, male, white, stage:'--, dead, 1088 days 717.7
TCGA-DD-A73B-01A 72 years, female, white, stage:Stage I, dead, 283 days 713.3
TCGA-DD-A1EB-01A 72 years, female, stage:Stage I, alive, 2017 days 709.3
TCGA-DD-A4NI-01A 67 years, male, white, stage:Stage II, alive, 816 days 696.8
TCGA-LG-A9QD-01A 68 years, male, white, stage:Stage IIIA, alive, 366 days 694.8
TCGA-DD-A4NL-01A 46 years, male, white, stage:Stage I, alive, 1711 days 694.7
TCGA-2Y-A9GT-01A 51 years, male, white, stage:Stage I, dead, 1624 days 693.0
TCGA-ZP-A9CY-01A 66 years, female, white, stage:'--, alive, 782 days 672.2
TCGA-DD-AAE3-01A 50 years, male, asian, stage:Stage I, alive, 566 days 639.8
TCGA-K7-A5RF-01A 64 years, male, white, stage:Stage I, alive, 631 days 600.9
TCGA-DD-A11C-01A 69 years, male, white, stage:Stage I, alive, 662 days 569.7
TCGA-G3-A5SK-01A 58 years, male, white, stage:Stage I, alive, 744 days 511.9
TCGA-NI-A8LF-01A 74 years, male, white, stage:Stage I, alive, 799 days 426.4
TCGA-DD-A11D-01A 57 years, female, white, stage:Stage I, dead, 1560 days 394.8
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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.

RPLP0 is validated prognostic, high expression is unfavorable in Liver Hepatocellular Carcinoma (validation)


Stage:
Survival analysis
Current cut offi

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

:
Best expression cut offi

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

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

: 1505.18
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 1847.5
Number of samples 231
Samples
Sample Description pTPM
DO50785 37 years, male, NA, stage:4, dead, 90 days 7676.3
DO23515 71 years, male, NA, stage:2, alive, 1230 days 5486.5
DO45285 59 years, male, NA, stage:3, alive, 480 days 5080.7
DO45303 62 years, female, NA, stage:3, alive, 990 days 4882.3
DO23516 69 years, male, NA, stage:3, dead, 20 days 4637.2
DO23537 79 years, male, NA, stage:2, dead, 900 days 4616.8
DO45217 69 years, female, NA, stage:3, dead, 270 days 4556.1
DO45093 71 years, male, NA, stage:2, dead, 720 days 4507.5
DO48682 72 years, female, NA, stage:3, dead, 120 days 4400.5
DO50806 70 years, male, NA, stage:4, alive, 540 days 4386.9
DO23545 67 years, male, NA, stage:2, dead, 570 days 4275.0
DO50855 47 years, male, NA, stage:2, alive, 570 days 4126.5
DO45305 66 years, male, NA, stage:4, alive, 300 days 3989.5
DO45259 65 years, male, NA, stage:3, alive, 330 days 3886.6
DO45187 32 years, female, NA, stage:1, alive, 1260 days 3827.3
DO45251 57 years, female, NA, stage:2, alive, 900 days 3753.9
DO45161 74 years, male, NA, stage:2, dead, 540 days 3645.8
DO50799 66 years, female, NA, stage:2, alive, 540 days 3618.5
DO45257 46 years, male, NA, stage:3, alive, 810 days 3599.9
DO45213 58 years, male, NA, stage:1, alive, 1200 days 3442.3
DO45307 54 years, female, NA, stage:4, dead, 240 days 3417.2
DO45189 85 years, female, NA, stage:2, alive, 1200 days 3384.4
DO50809 56 years, male, NA, stage:3, dead, 720 days 3292.5
DO45275 65 years, male, NA, stage:3, dead, 10 days 3207.3
DO45173 63 years, male, NA, stage:3, alive, 1170 days 3152.3
DO23519 65 years, male, NA, stage:3, alive, 630 days 3035.0
DO48737 52 years, male, NA, stage:1, alive, 720 days 2977.3
DO48730 73 years, female, NA, stage:2, alive, 630 days 2967.2
DO45247 31 years, female, NA, stage:2, alive, 210 days 2938.9
DO48736 76 years, female, NA, stage:1, alive, 600 days 2846.1
DO50802 49 years, male, NA, stage:2, alive, 930 days 2838.8
DO45287 74 years, male, NA, stage:1, alive, 390 days 2819.7
DO45193 68 years, female, NA, stage:4, dead, 120 days 2808.9
DO45301 56 years, male, NA, stage:2, dead, 1440 days 2801.9
DO50829 78 years, male, NA, stage:3, alive, 570 days 2727.4
DO50859 77 years, male, NA, stage:2, alive, 180 days 2697.5
DO48757 68 years, female, NA, stage:3, alive, 480 days 2693.4
DO45191 61 years, female, NA, stage:2, alive, 1200 days 2685.8
DO45209 70 years, male, NA, stage:4, alive, 1350 days 2680.7
DO45297 61 years, female, NA, stage:4, dead, 1260 days 2670.9
DO45299 70 years, female, NA, stage:1, alive, 1440 days 2659.3
DO45279 67 years, male, NA, stage:3, alive, 1290 days 2655.8
DO45127 73 years, male, NA, stage:3, dead, 420 days 2636.6
DO45269 59 years, male, NA, stage:3, alive, 750 days 2628.2
DO45211 76 years, male, NA, stage:3, alive, 240 days 2623.0
DO45249 57 years, male, NA, stage:1, alive, 630 days 2591.8
DO23528 45 years, female, NA, stage:2, alive, 1020 days 2582.7
DO50820 77 years, female, NA, stage:3, alive, 510 days 2511.6
DO48681 57 years, male, NA, stage:2, alive, 900 days 2507.1
DO45097 69 years, male, NA, stage:3, alive, 1620 days 2498.1
DO23530 53 years, male, NA, stage:4, dead, 180 days 2495.8
DO23508 79 years, female, NA, stage:2, alive, 390 days 2490.5
DO45239 42 years, male, NA, stage:2, alive, 870 days 2487.7
DO50815 62 years, male, NA, stage:3, alive, 150 days 2416.8
DO45265 73 years, male, NA, stage:3, alive, 1020 days 2411.7
DO48747 62 years, male, NA, stage:3, alive, 540 days 2375.9
DO45135 77 years, male, NA, stage:1, alive, 1410 days 2374.1
DO50814 83 years, male, NA, stage:3, alive, 420 days 2366.9
DO45221 75 years, female, NA, stage:4, dead, 390 days 2322.7
DO45205 67 years, female, NA, stage:2, dead, 90 days 2308.5
DO45281 83 years, male, NA, stage:4, alive, 750 days 2306.0
DO45139 63 years, male, NA, stage:3, alive, 1320 days 2300.9
DO48712 50 years, male, NA, stage:2, alive, 810 days 2264.2
DO50822 66 years, male, NA, stage:2, alive, 510 days 2260.9
DO45183 72 years, female, NA, stage:2, dead, 570 days 2256.9
DO50825 70 years, male, NA, stage:2, alive, 390 days 2238.8
DO45289 78 years, female, NA, stage:3, alive, 360 days 2235.7
DO23526 66 years, male, NA, stage:3, alive, 1050 days 2232.4
DO45175 74 years, male, NA, stage:2, alive, 1140 days 2230.2
DO45121 61 years, male, NA, stage:3, alive, 1530 days 2198.6
DO23525 71 years, male, NA, stage:4, alive, 1050 days 2196.7
DO45219 78 years, male, NA, stage:2, alive, 1080 days 2165.0
DO48741 64 years, male, NA, stage:3, alive, 240 days 2137.4
DO45203 71 years, female, NA, stage:2, alive, 1170 days 2134.6
DO48697 64 years, female, NA, stage:2, dead, 810 days 2132.7
DO48706 72 years, male, NA, stage:2, alive, 870 days 2102.4
DO45273 62 years, male, NA, stage:2, alive, 480 days 2090.3
DO50783 62 years, male, NA, stage:3, alive, 480 days 2076.7
DO45092 62 years, male, NA, stage:4, dead, 1200 days 2058.4
DO48720 62 years, female, NA, stage:2, alive, 570 days 2057.9
DO45103 47 years, male, NA, stage:3, alive, 450 days 2057.3
DO45231 84 years, male, NA, stage:2, alive, 930 days 2055.8
DO45283 60 years, male, NA, stage:3, alive, 510 days 2052.0
DO45245 75 years, female, NA, stage:2, dead, 240 days 2046.4
DO50844 75 years, male, NA, stage:4, alive, 300 days 2046.2
DO45165 75 years, male, NA, stage:2, alive, 690 days 2042.1
DO23511 83 years, female, NA, stage:3, dead, 180 days 2040.7
DO48723 73 years, male, NA, stage:1, alive, 600 days 2027.1
DO45277 64 years, male, NA, stage:3, alive, 600 days 1980.2
DO45095 66 years, male, NA, stage:2, alive, 1620 days 1967.1
DO48727 81 years, female, NA, stage:2, dead, 390 days 1950.8
DO23523 52 years, male, NA, stage:3, alive, 1080 days 1948.3
DO45199 86 years, female, NA, stage:2, alive, 1350 days 1925.1
DO50857 72 years, male, NA, stage:2, alive, 210 days 1915.1
DO48715 58 years, female, NA, stage:2, dead, 690 days 1914.0
DO45237 58 years, male, NA, stage:2, alive, 900 days 1901.2
DO50805 72 years, male, NA, stage:2, alive, 690 days 1897.8
DO45253 50 years, male, NA, stage:2, alive, 870 days 1889.2
DO45113 58 years, male, NA, stage:3, alive, 1560 days 1864.9
DO50778 60 years, male, NA, stage:4, alive, 630 days 1827.6
DO45145 78 years, male, NA, stage:3, dead, 60 days 1779.7
DO45157 62 years, male, NA, stage:2, alive, 1980 days 1769.6
DO48717 54 years, male, NA, stage:4, dead, 180 days 1767.8
DO45119 74 years, male, NA, stage:3, dead, 510 days 1752.3
DO50793 76 years, male, NA, stage:4, alive, 540 days 1690.6
DO50800 74 years, male, NA, stage:2, alive, 510 days 1688.7
DO50804 81 years, male, NA, stage:2, alive, 720 days 1686.7
DO45091 56 years, male, NA, stage:2, dead, 1320 days 1670.2
DO45267 73 years, male, NA, stage:3, dead, 570 days 1663.2
DO48732 73 years, male, NA, stage:3, alive, 630 days 1657.1
DO50819 72 years, female, NA, stage:2, alive, 510 days 1656.9
DO45131 53 years, male, NA, stage:4, dead, 360 days 1640.4
DO48759 73 years, male, NA, stage:3, alive, 720 days 1623.1
DO23521 63 years, male, NA, stage:3, alive, 1110 days 1610.3
DO45185 89 years, male, NA, stage:2, alive, 600 days 1602.3
DO50811 62 years, male, NA, stage:1, alive, 450 days 1601.0
DO50791 79 years, female, NA, stage:1, dead, 480 days 1594.1
DO50817 75 years, male, NA, stage:2, alive, 390 days 1593.9
DO45201 49 years, male, NA, stage:1, alive, 900 days 1587.6
DO45235 68 years, female, NA, stage:1, alive, 900 days 1557.2
DO48751 68 years, male, NA, stage:2, dead, 480 days 1544.5
DO50816 63 years, male, NA, stage:2, alive, 390 days 1542.9
DO48700 78 years, female, NA, stage:2, alive, 810 days 1512.1
DO50798 77 years, male, NA, stage:3, dead, 30 days 1506.3
DO48742 76 years, male, NA, stage:2, alive, 600 days 1504.1
DO23549 74 years, male, NA, stage:3, alive, 990 days 1475.6
DO45255 81 years, male, NA, stage:3, alive, 720 days 1470.5
DO45179 78 years, female, NA, stage:2, alive, 600 days 1470.2
DO23533 61 years, male, NA, stage:2, alive, 900 days 1448.1
DO45143 69 years, male, NA, stage:3, alive, 1290 days 1436.2
DO45207 68 years, male, NA, stage:1, alive, 1050 days 1426.4
DO48672 81 years, male, NA, stage:2, alive, 450 days 1407.2
DO48677 58 years, male, NA, stage:3, alive, 1140 days 1406.7
DO45171 56 years, male, NA, stage:3, alive, 600 days 1379.5
DO23529 72 years, male, NA, stage:4, alive, 930 days 1373.8
DO45169 74 years, male, NA, stage:3, alive, 1350 days 1356.6
DO48743 69 years, female, NA, stage:2, alive, 570 days 1352.7
DO48725 66 years, male, NA, stage:1, alive, 780 days 1352.1
DO23542 66 years, male, NA, stage:3, alive, 960 days 1345.2
DO48716 71 years, male, NA, stage:2, alive, 720 days 1333.3
DO45125 58 years, male, NA, stage:3, alive, 1680 days 1312.6
DO23510 80 years, female, NA, stage:2, alive, 870 days 1311.4
DO48761 55 years, male, NA, stage:2, alive, 870 days 1301.7
DO48693 71 years, male, NA, stage:2, alive, 900 days 1294.0
DO50776 75 years, male, NA, stage:1, alive, 690 days 1292.9
DO23524 71 years, female, NA, stage:2, alive, 1050 days 1284.7
DO45117 73 years, female, NA, stage:2, dead, 1110 days 1274.2
DO50840 49 years, male, NA, stage:2, alive, 330 days 1271.5
DO50839 47 years, female, NA, stage:3, alive, 330 days 1235.1
DO45233 83 years, male, NA, stage:3, alive, 900 days 1233.7
DO23539 77 years, male, NA, stage:1, alive, 1110 days 1230.3
DO23547 74 years, male, NA, stage:1, alive, 1020 days 1228.8
DO45261 74 years, male, NA, stage:3, alive, 990 days 1227.1
DO48728 74 years, female, NA, stage:2, alive, 150 days 1224.4
DO45109 63 years, male, NA, stage:2, alive, 1590 days 1221.0
DO45163 76 years, male, NA, stage:2, alive, 960 days 1216.6
DO50832 73 years, male, NA, stage:3, alive, 90 days 1215.8
DO48695 77 years, male, NA, stage:2, alive, 720 days 1210.8
DO45149 70 years, female, NA, stage:2, alive, 1260 days 1206.1
DO45123 78 years, female, NA, stage:2, dead, 570 days 1202.7
DO45153 77 years, female, NA, stage:2, alive, 1380 days 1192.0
DO45229 74 years, male, NA, stage:1, alive, 990 days 1183.9
DO50845 72 years, male, NA, stage:3, alive, 210 days 1181.4
DO50807 67 years, male, NA, stage:1, alive, 540 days 1174.8
DO45225 69 years, male, NA, stage:1, alive, 1050 days 1170.6
DO23513 76 years, male, NA, stage:3, alive, 1200 days 1162.4
DO50774 68 years, female, NA, stage:2, alive, 720 days 1157.2
DO45223 67 years, male, NA, stage:4, alive, 1020 days 1149.0
DO45263 67 years, male, NA, stage:3, dead, 270 days 1113.5
DO50813 56 years, male, NA, stage:2, alive, 420 days 1102.7
DO48746 76 years, male, NA, stage:3, alive, 570 days 1102.3
DO23543 63 years, male, NA, stage:2, alive, 1020 days 1100.4
DO48719 80 years, male, NA, stage:2, alive, 690 days 1099.0
DO50787 63 years, male, NA, stage:3, alive, 480 days 1097.0
DO45241 49 years, male, NA, stage:1, alive, 1080 days 1088.8
DO23538 67 years, male, NA, stage:2, alive, 450 days 1084.9
DO23514 64 years, male, NA, stage:2, alive, 1290 days 1068.9
DO23536 56 years, male, NA, stage:2, alive, 930 days 1050.9
DO45177 81 years, female, NA, stage:3, alive, 1260 days 1049.7
DO23552 80 years, female, NA, stage:1, alive, 810 days 1030.4
DO23540 73 years, male, NA, stage:1, alive, 750 days 1011.1
DO50818 65 years, male, NA, stage:2, alive, 510 days 1003.4
DO45115 81 years, male, NA, stage:2, alive, 840 days 1002.2
DO45243 74 years, female, NA, stage:3, alive, 930 days 1001.6
DO23535 67 years, male, NA, stage:1, alive, 960 days 996.8
DO45227 57 years, female, NA, stage:2, alive, 1020 days 965.4
DO45141 73 years, male, NA, stage:2, alive, 1320 days 957.1
DO48733 72 years, male, NA, stage:2, alive, 600 days 947.8
DO23546 63 years, male, NA, stage:2, alive, 1050 days 941.9
DO45159 65 years, male, NA, stage:3, alive, 1470 days 939.5
DO48704 68 years, female, NA, stage:3, alive, 750 days 931.3
DO23548 78 years, female, NA, stage:1, alive, 840 days 917.2
DO45155 69 years, male, NA, stage:2, alive, 2160 days 915.2
DO45096 69 years, male, NA, stage:2, dead, 1290 days 913.4
DO227643 79 years, male, NA, stage:2, alive, 1260 days 913.3
DO45215 65 years, male, NA, stage:2, alive, 1170 days 912.9
DO23509 60 years, male, NA, stage:3, dead, 780 days 903.8
DO45197 51 years, male, NA, stage:2, alive, 1170 days 891.5
DO23544 67 years, male, NA, stage:2, alive, 960 days 874.5
DO227801 77 years, female, NA, stage:1, alive, 660 days 845.1
DO48674 80 years, male, NA, stage:2, alive, 1260 days 825.9
DO50789 73 years, female, NA, stage:2, alive, 570 days 799.4
DO45181 84 years, female, NA, stage:2, alive, 1200 days 791.4
DO23512 60 years, male, NA, stage:1, alive, 1260 days 759.1
DO23517 62 years, male, NA, stage:2, alive, 1200 days 748.5
DO50803 62 years, female, NA, stage:1, alive, 540 days 736.9
DO45129 61 years, male, NA, stage:3, alive, 1470 days 733.6
DO23527 72 years, male, NA, stage:1, alive, 1050 days 722.4
DO50808 68 years, male, NA, stage:2, alive, 570 days 685.4
DO23518 67 years, male, NA, stage:2, alive, 1320 days 681.6
DO48679 72 years, male, NA, stage:2, alive, 1200 days 669.4
DO45099 46 years, male, NA, stage:3, alive, 1590 days 668.8
DO45195 62 years, male, NA, stage:1, alive, 390 days 656.6
DO45094 76 years, male, NA, stage:3, alive, 1650 days 630.1
DO50850 74 years, male, NA, stage:3, alive, 720 days 621.5
DO48760 70 years, female, NA, stage:2, alive, 690 days 619.1
DO23541 65 years, male, NA, stage:2, alive, 930 days 589.8
DO48701 78 years, male, NA, stage:2, alive, 780 days 578.1
DO23531 78 years, female, NA, stage:3, alive, 900 days 575.7
DO45133 64 years, male, NA, stage:3, dead, 660 days 563.3
DO45105 61 years, male, NA, stage:1, alive, 1680 days 546.4
DO45137 38 years, male, NA, stage:1, alive, 1320 days 546.4
DO23534 60 years, male, NA, stage:2, alive, 840 days 523.1
DO23550 69 years, male, NA, stage:1, alive, 990 days 515.7
DO23532 71 years, female, NA, stage:1, alive, 960 days 512.9
DO45101 63 years, male, NA, stage:2, alive, 1680 days 476.6
DO45111 74 years, male, NA, stage:2, alive, 1590 days 473.7
DO23551 73 years, male, NA, stage:3, dead, 150 days 439.8
DO48721 58 years, female, NA, stage:1, alive, 900 days 437.1
DO45167 67 years, male, NA, stage:2, dead, 1440 days 362.7
DO45107 63 years, female, NA, stage:2, alive, 1710 days 313.6
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LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples 330
Samples
Sample ID Sample type nRPX
557 Tumor 0.5
567 Tumor 0.4
113 Tumor 0.3
223 Tumor 0.3
467 Tumor 0.3
395 Tumor 0.3
443 Tumor 0.3
685 Tumor 0.2
815 Tumor 0.2
393 Tumor 0.2
636 Normal 0.2
414 Normal 0.2
436 Normal 0.2
661 Tumor 0.2
432 Normal 0.2
358 Normal 0.2
851 Tumor 0.2
573 Tumor 0.2
433 Tumor 0.2
135 Tumor 0.2
353 Tumor 0.2
571 Tumor 0.2
367 Tumor 0.2
172 Normal 0.2
332 Normal 0.2
196 Normal 0.2
413 Tumor 0.2
394 Normal 0.2
446 Normal 0.2
376 Normal 0.2
314 Normal 0.2
422 Normal 0.2
162 Normal 0.2
392 Normal 0.2
466 Normal 0.1
327 Tumor 0.1
331 Tumor 0.1
385 Tumor 0.1
111 Normal 0.1
285 Tumor 0.1
721 Tumor 0.1
452 Normal 0.1
214 Normal 0.1
145 Tumor 0.1
278 Normal 0.1
186 Normal 0.1
428 Normal 0.1
352 Normal 0.1
464 Normal 0.1
434 Normal 0.1
187 Tumor 0.1
648 Normal 0.1
227 Tumor 0.1
232 Normal 0.1
267 Tumor 0.1
222 Normal 0.1
426 Normal 0.1
286 Normal 0.1
421 Tumor 0.1
743 Tumor 0.1
451 Tumor 0.1
424 Normal 0.1
147 Tumor 0.1
388 Normal 0.1
195 Tumor 0.1
387 Tumor 0.1
777 Tumor 0.1
128 Normal 0.1
746 Normal 0.1
258 Normal 0.1
664 Normal 0.1
342 Normal 0.1
468 Normal 0.1
444 Normal 0.1
568 Normal 0.1
351 Tumor 0.1
662 Normal 0.1
132 Normal 0.1
724 Normal 0.1
738 Normal 0.1
114 Normal 0.1
298 Normal 0.1
1027 Tumor 0.1
257 Tumor 0.1
124 Normal 0.1
368 Normal 0.1
344 Normal 0.1
218 Normal 0.1
362 Normal 0.1
745 Tumor 0.1
435 Tumor 0.1
136 Normal 0.1
713 Tumor 0.1
425 Tumor 0.1
778 Normal 0.1
445 Tumor 0.1
138 Normal 0.1
671 Tumor 0.1
955 Tumor 0.0
1021 Tumor 0.0
462 Normal 0.0
272 Normal 0.0
742 Normal 0.0
188 Normal 0.0
864 Normal 0.0
148 Normal 0.0
221 Tumor 0.0
191 Tumor 0.0
354 Normal 0.0
786 Normal 0.0
728 Normal 0.0
262 Normal 0.0
126 Normal 0.0
672 Normal 0.0
628 Normal 0.0
396 Normal 0.0
384 Normal 0.0
528 Normal 0.0
666 Normal 0.0
463 Tumor 0.0
983 Tumor 0.0
423 Tumor 0.0
228 Normal 0.0
862 Normal 0.0
696 Normal 0.0
366 Normal 0.0
723 Tumor 0.0
465 Tumor 0.0
564 Normal 0.0
213 Tumor 0.0
112 Tumor 0.0
558 Normal 0.0
481 Tumor 0.0
813 Tumor 0.0
824 Normal 0.0
137 Tumor 0.0
284 Normal 0.0
858 Normal 0.0
271 Tumor 0.0
217 Tumor N/A
431 Tumor 0.0
618 Normal 0.0
171 Tumor 0.0
356 Normal 0.0
456 Normal 0.0
665 Tumor 0.0
386 Normal 0.0
617 Tumor 0.0
1026 Normal 0.0
572 Normal 0.0
686 Normal 0.0
865 Tumor 0.0
642 Normal 0.0
427 Tumor 0.0
978 Normal 0.0
715 Tumor 0.0
185 Tumor 0.0
912 Normal 0.0
212 Normal 0.0
574 Normal 0.0
268 Normal 0.0
375 Tumor 0.0
818 Normal 0.0
161 Tumor 0.0
312 Normal 0.0
937 Tumor 0.0
866 Normal 0.0
868 Normal 0.0
447 Tumor 0.0
277 Tumor 0.0
455 Tumor 0.0
663 Tumor 0.0
698 Normal 0.0
125 Tumor 0.0
142 Normal 0.0
343 Tumor 0.0
537 Tumor 0.0
1044 Normal 0.0
877 Tumor -0.1
365 Tumor -0.1
722 Normal -0.1
938 Normal -0.1
756 Normal -0.1
755 Tumor -0.1
448 Normal -0.1
123 Tumor -0.1
261 Tumor -0.1
744 Normal -0.1
391 Tumor -0.1
816 Normal -0.1
341 Tumor -0.1
814 Normal -0.1
1016 Normal -0.1
127 Tumor -0.1
361 Tumor -0.1
412 Normal -0.1
1022 Normal -0.1
146 Normal -0.1
1043 Tumor -0.1
231 Tumor -0.1
852 Normal -0.1
926 Normal -0.1
737 Tumor -0.1
968 Normal -0.1
956 Normal -0.1
914 Normal -0.1
563 Tumor -0.1
714 Normal -0.1
411 Tumor -0.1
526 Normal -0.1
224 Normal -0.1
534 Normal -0.1
514 Normal -0.1
647 Tumor -0.1
716 Normal -0.1
944 Normal -0.1
727 Tumor -0.1
635 Tumor -0.1
517 Tumor -0.1
313 Tumor -0.1
474 Normal -0.1
488 Normal -0.1
1028 Normal -0.1
878 Normal -0.1
984 Normal -0.1
884 Normal -0.1
952 Normal -0.1
494 Normal -0.1
357 Tumor -0.1
131 Tumor -0.1
1015 Tumor -0.1
981 Tumor -0.1
482 Normal -0.1
966 Normal -0.1
976 Normal -0.1
922 Normal -0.1
1014 Normal -0.1
461 Tumor -0.1
982 Normal -0.1
192 Normal -0.1
785 Tumor -0.1
873 Tumor -0.1
535 Tumor -0.1
918 Normal -0.1
964 Normal -0.1
867 Tumor -0.1
882 Normal -0.1
913 Tumor -0.1
881 Tumor -0.1
416 Normal -0.2
497 Tumor -0.2
515 Tumor -0.2
546 Normal -0.2
817 Tumor -0.2
328 Normal -0.2
874 Normal -0.2
472 Normal -0.2
518 Normal -0.2
527 Tumor -0.2
141 Tumor -0.2
1032 Normal -0.2
923 Tumor -0.2
297 Tumor -0.2
967 Tumor -0.2
695 Tumor -0.2
924 Normal -0.2
1042 Normal -0.2
363 Tumor -0.2
883 Tumor -0.2
616 Normal -0.2
965 Tumor -0.2
861 Tumor -0.2
953 Tumor -0.2
615 Tumor -0.2
916 Normal -0.2
513 Tumor -0.2
523 Tumor -0.2
383 Tumor -0.2
823 Tumor -0.2
641 Tumor -0.2
1046 Normal -0.2
283 Tumor -0.2
524 Normal -0.2
516 Normal -0.2
951 Tumor -0.2
311 Tumor -0.2
954 Normal -0.2
975 Tumor -0.3
943 Tumor -0.3
925 Tumor -0.3
364 Normal -0.3
958 Normal -0.3
536 Normal -0.3
484 Normal -0.3
554 Normal -0.3
863 Tumor -0.3
627 Tumor -0.3
857 Tumor -0.3
493 Tumor -0.3
545 Tumor -0.3
977 Tumor -0.3
697 Tumor -0.3
741 Tumor -0.3
915 Tumor -0.3
415 Tumor -0.3
917 Tumor -0.3
921 Tumor -0.3
525 Tumor -0.3
471 Tumor -0.3
963 Tumor -0.4
1045 Tumor -0.4
1025 Tumor -0.4
492 Normal -0.4
911 Tumor -0.4
478 Normal -0.4
1041 Tumor -0.4
487 Tumor -0.4
211 Tumor -0.4
483 Tumor -0.4
477 Tumor -0.4
538 Normal -0.4
957 Tumor -0.4
1031 Tumor -0.4
498 Normal -0.4
355 Tumor -0.5
533 Tumor -0.5
491 Tumor -0.5
553 Tumor -0.5
1013 Tumor -0.6
473 Tumor -1.0
Show allShow less
LIVER CANCER - Protein expressioni

A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.

Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.

 

Antibody stainingi

Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.

Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.


Antibody HPA003512

Antibody HPA073501
 Staining
  High
  Medium
  Low
  Not detected
 Intensity
  Strong
  Moderate
  Weak
  Negative
 Quantity
  >75%
  75%-25%
  <25%
  None
 Location
  Nuclear
  Cytoplasmic/membranous
  Cytoplasmic/membranous,nuclear
  None
Cholangiocarcinoma
Carcinoma, Hepatocellular, NOS

Contact

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The Human Protein Atlas project is funded
by the Knut & Alice Wallenberg Foundation.


contact@proteinatlas.org