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RPLP1
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  • SUMMARY

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  • RPLP1
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.

RPLP1 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.

: 1745.67
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 2014.2
Number of samples 362
Samples
Sample Description pTPM
TCGA-G3-A25X-01A 73 years, male, asian, stage:Stage II, alive, 1779 days 8818.1
TCGA-FV-A4ZP-01A 78 years, male, white, stage:Stage IIIA, dead, 2486 days 7796.3
TCGA-UB-A7MA-01A 62 years, female, white, stage:Stage II, alive, 848 days 7052.2
TCGA-DD-AAVU-01A 46 years, male, asian, stage:Stage II, alive, 2202 days 6376.6
TCGA-DD-AA3A-01A 81 years, female, white, stage:Stage I, dead, 410 days 6138.2
TCGA-DD-AACP-01A 64 years, male, asian, stage:Stage I, alive, 415 days 5925.2
TCGA-DD-AACO-01A 40 years, male, asian, stage:Stage I, alive, 1876 days 5899.0
TCGA-DD-AAED-01A 51 years, male, asian, stage:Stage I, alive, 763 days 5663.2
TCGA-CC-A7II-01A 54 years, male, asian, stage:Stage IIIA, alive, 399 days 5637.9
TCGA-DD-AADN-01A 59 years, male, asian, stage:Stage I, alive, 898 days 5231.8
TCGA-ES-A2HS-01A 80 years, male, white, stage:Stage I, dead, 688 days 5002.1
TCGA-CC-A123-01A 24 years, female, asian, stage:Stage IIIA, alive, 219 days 4974.2
TCGA-DD-AACG-01A 52 years, male, asian, stage:Stage II, dead, 469 days 4931.1
TCGA-DD-AAE0-01A 45 years, female, asian, stage:Stage IIIA, alive, 555 days 4701.7
TCGA-BC-A69H-01A 64 years, male, white, stage:Stage II, alive, 444 days 4495.6
TCGA-DD-A3A7-01A 67 years, male, stage:Stage IIIB, dead, 419 days 4487.4
TCGA-CC-A3M9-01A 45 years, male, asian, stage:Stage IIIA, dead, 300 days 4486.3
TCGA-DD-A73G-01A 73 years, female, white, stage:Stage I, alive, 3478 days 4459.9
TCGA-DD-AADI-01A 43 years, female, asian, stage:Stage I, alive, 1085 days 4045.7
TCGA-DD-AAD5-01A 54 years, male, asian, stage:Stage I, alive, 1345 days 3969.4
TCGA-DD-AACB-01A 74 years, female, asian, stage:Stage I, alive, 2324 days 3945.7
TCGA-G3-AAUZ-01A 48 years, male, stage:Stage I, alive, 480 days 3860.1
TCGA-DD-AADO-01A 55 years, male, asian, stage:Stage I, alive, 453 days 3783.1
TCGA-DD-AADC-01A 53 years, male, asian, stage:Stage I, dead, 425 days 3758.2
TCGA-DD-A39Z-01A 43 years, female, stage:Stage II, dead, 601 days 3756.6
TCGA-FV-A4ZQ-01A 52 years, male, white, stage:Stage I, alive, 12 days 3754.4
TCGA-XR-A8TF-01A 74 years, male, white, stage:Stage I, dead, 693 days 3719.2
TCGA-BC-A10Y-01A 76 years, male, white, stage:'--, dead, 711 days 3708.3
TCGA-CC-A7IE-01A 57 years, male, asian, stage:Stage IIIA, dead, 217 days 3693.1
TCGA-CC-A7IG-01A 47 years, male, asian, stage:Stage II, dead, 299 days 3680.8
TCGA-CC-5263-01A 35 years, male, asian, stage:Stage IIIA, dead, 129 days 3630.3
TCGA-WX-AA44-01A 64 years, female, white, stage:Stage I, alive, 615 days 3569.5
TCGA-DD-A39V-01A 77 years, male, white, stage:Stage II, dead, 643 days 3568.2
TCGA-CC-A5UE-01A 48 years, male, asian, stage:Stage IIIB, dead, 272 days 3551.0
TCGA-G3-A25T-01A 45 years, female, white, stage:Stage IIIA, alive, 1553 days 3547.7
TCGA-EP-A2KA-01A 52 years, female, white, stage:Stage IIIA, dead, 627 days 3537.2
TCGA-2Y-A9H1-01A 58 years, male, white, stage:Stage I, dead, 1229 days 3515.5
TCGA-2Y-A9GY-01A 64 years, female, white, stage:Stage II, dead, 757 days 3515.1
TCGA-ED-A8O6-01A 50 years, female, asian, stage:Stage IIIA, dead, 56 days 3459.1
TCGA-YA-A8S7-01A 68 years, male, white, stage:Stage IIIA, dead, 412 days 3433.2
TCGA-FV-A3I0-01A 76 years, female, white, stage:Stage II, alive, 848 days 3338.0
TCGA-G3-A25Y-01A 52 years, female, asian, stage:Stage I, dead, 452 days 3268.2
TCGA-DD-AACN-01A 32 years, male, asian, stage:Stage I, alive, 1302 days 3265.9
TCGA-DD-A114-01A 42 years, male, black or african american, stage:Stage II, dead, 1149 days 3212.5
TCGA-FV-A495-01A 51 years, female, white, stage:Stage II, alive, 1 days 3205.9
TCGA-DD-A3A9-01A 64 years, female, white, stage:Stage IVB, dead, 931 days 3192.3
TCGA-ED-A5KG-01A 60 years, female, asian, stage:Stage II, alive, 854 days 3148.6
TCGA-DD-AACA-01A 65 years, male, asian, stage:Stage I, alive, 2301 days 3146.8
TCGA-5C-A9VG-01A 58 years, male, white, stage:Stage II, alive, 328 days 3146.1
TCGA-CC-A1HT-01A 50 years, male, asian, stage:Stage IIIA, dead, 101 days 3101.0
TCGA-DD-A39X-01A 78 years, female, white, stage:Stage I, dead, 1694 days 3091.5
TCGA-KR-A7K7-01A 61 years, female, white, stage:Stage II, alive, 951 days 3061.7
TCGA-CC-A7IF-01A 59 years, male, asian, stage:Stage IIIA, dead, 649 days 3036.6
TCGA-RC-A6M6-01A 75 years, male, white, stage:Stage II, alive, 9 days 3005.0
TCGA-G3-A7M6-01A 60 years, female, white, stage:Stage I, alive, 632 days 2996.1
TCGA-DD-AACQ-01A 50 years, male, asian, stage:Stage II, dead, 432 days 2939.9
TCGA-DD-AACI-01A 69 years, male, asian, stage:Stage II, alive, 1618 days 2928.8
TCGA-2Y-A9GS-01A 58 years, male, white, stage:'--, dead, 724 days 2908.7
TCGA-G3-A25S-01A 64 years, male, white, stage:Stage I, dead, 416 days 2900.1
TCGA-DD-AAVP-01A 48 years, male, asian, stage:Stage I, alive, 2752 days 2875.2
TCGA-UB-A7MB-01A 24 years, male, white, stage:Stage II, alive, 601 days 2857.9
TCGA-MI-A75G-01A 63 years, male, white, stage:Stage II, alive, 698 days 2837.5
TCGA-G3-AAV6-01A 53 years, female, white, stage:Stage IIIA, dead, 65 days 2824.7
TCGA-DD-AADP-01A 45 years, male, asian, stage:Stage I, alive, 458 days 2819.4
TCGA-CC-A8HU-01A 39 years, female, asian, stage:Stage IIIA, dead, 344 days 2810.0
TCGA-BC-A8YO-01A 66 years, female, white, stage:Stage IIIC, alive, 562 days 2770.5
TCGA-RC-A7SH-01A 42 years, male, asian, stage:Stage II, alive, 468 days 2767.8
TCGA-XR-A8TC-01A 43 years, female, white, stage:Stage I, alive, 1339 days 2730.3
TCGA-MI-A75H-01A 77 years, male, white, stage:'--, alive, 747 days 2721.3
TCGA-DD-A3A6-01A 72 years, female, white, stage:Stage II, dead, 3258 days 2720.3
TCGA-G3-AAV5-01A 67 years, male, white, stage:Stage II, alive, 354 days 2716.1
TCGA-DD-AAEB-01A 60 years, male, asian, stage:Stage I, alive, 478 days 2703.1
TCGA-ED-A7PZ-01A 61 years, male, asian, stage:Stage II, alive, 6 days 2700.8
TCGA-BC-A217-01A 75 years, female, white, stage:Stage II, dead, 1397 days 2692.1
TCGA-ED-A8O5-01A 59 years, female, asian, stage:Stage IIIA, alive, 406 days 2647.3
TCGA-CC-5261-01A 44 years, male, asian, stage:Stage II, dead, 97 days 2598.3
TCGA-DD-AACD-01A 48 years, male, asian, stage:Stage I, dead, 381 days 2558.8
TCGA-DD-AACU-01A 59 years, male, asian, stage:Stage I, alive, 1567 days 2550.1
TCGA-ED-A7PY-01A 20 years, female, asian, stage:Stage II, alive, 390 days 2538.0
TCGA-EP-A3RK-01A 73 years, male, white, stage:Stage IIIA, alive, 363 days 2527.0
TCGA-DD-AACW-01A 43 years, male, asian, stage:Stage I, alive, 1424 days 2491.8
TCGA-DD-AACJ-01A 75 years, male, asian, stage:Stage II, alive, 2102 days 2464.9
TCGA-DD-AACZ-01A 63 years, female, asian, stage:Stage I, dead, 171 days 2463.7
TCGA-CC-5260-01A 61 years, female, asian, stage:Stage IIIC, dead, 87 days 2428.8
TCGA-RG-A7D4-01A 69 years, male, black or african american, stage:Stage II, alive, 1098 days 2409.4
TCGA-2Y-A9H4-01A 68 years, male, black or african american, stage:Stage I, alive, 1452 days 2393.0
TCGA-DD-AADD-01A 51 years, male, asian, stage:Stage I, alive, 1231 days 2381.5
TCGA-CC-A8HV-01A 51 years, female, asian, stage:Stage II, dead, 279 days 2374.0
TCGA-DD-AADW-01A 48 years, male, asian, stage:Stage I, alive, 587 days 2373.8
TCGA-G3-A7M5-01A 76 years, male, asian, stage:Stage I, alive, 447 days 2373.4
TCGA-DD-AAEA-01A 65 years, male, asian, stage:Stage I, alive, 575 days 2332.6
TCGA-DD-AAVQ-01A 38 years, male, asian, stage:Stage I, alive, 2728 days 2331.3
TCGA-DD-A1EH-01A 23 years, male, white, stage:Stage III, alive, 1495 days 2308.1
TCGA-DD-A1EF-01A 57 years, female, white, stage:Stage I, dead, 394 days 2303.9
TCGA-DD-AACS-01A 39 years, male, asian, stage:Stage I, alive, 1804 days 2299.7
TCGA-WQ-AB4B-01A 62 years, male, white, stage:Stage II, alive, 395 days 2296.9
TCGA-MI-A75I-01A 61 years, male, black or african american, stage:'--, alive, 630 days 2267.2
TCGA-2Y-A9H3-01A 45 years, male, white, stage:Stage II, alive, 1516 days 2265.0
TCGA-ZP-A9D2-01A 51 years, male, white, stage:'--, dead, 765 days 2246.7
TCGA-KR-A7K8-01A 57 years, male, stage:Stage I, alive, 906 days 2246.4
TCGA-DD-AACF-01A 68 years, male, asian, stage:Stage I, dead, 365 days 2245.7
TCGA-DD-A4NJ-01A 54 years, female, white, stage:Stage II, alive, 928 days 2243.0
TCGA-ED-A7XO-01A 29 years, male, asian, stage:Stage IIIA, alive, 427 days 2237.4
TCGA-DD-AADQ-01A 59 years, male, asian, stage:Stage II, alive, 436 days 2234.2
TCGA-DD-AADV-01A 50 years, male, asian, stage:Stage I, alive, 574 days 2229.2
TCGA-CC-5258-01A 48 years, male, asian, stage:Stage II, dead, 129 days 2226.8
TCGA-DD-A4NE-01A 75 years, female, white, stage:Stage IIIA, dead, 660 days 2224.7
TCGA-KR-A7K2-01A 64 years, male, white, stage:Stage I, alive, 829 days 2209.5
TCGA-DD-A39Y-01A 67 years, male, asian, stage:Stage I, dead, 171 days 2202.9
TCGA-DD-AAEE-01A 55 years, male, asian, stage:Stage I, alive, 810 days 2181.8
TCGA-RC-A7SK-01A 59 years, male, asian, stage:Stage I, alive, 472 days 2173.7
TCGA-BW-A5NO-01A 50 years, male, black or african american, stage:Stage IIIA, alive, 20 days 2149.2
TCGA-UB-A7MC-01A 59 years, male, white, stage:Stage IIIA, alive, 500 days 2141.4
TCGA-DD-A1EI-01A 46 years, male, asian, stage:Stage I, alive, 183 days 2134.6
TCGA-K7-AAU7-01A 61 years, male, white, stage:Stage II, alive, 359 days 2128.4
TCGA-DD-AAD6-01A 66 years, male, asian, stage:Stage IIIA, alive, 672 days 2120.4
TCGA-DD-A1EJ-01A 71 years, female, white, stage:Stage IIIC, dead, 1005 days 2104.6
TCGA-G3-A6UC-01A 65 years, male, white, stage:Stage IIIB, alive, 671 days 2100.7
TCGA-UB-A7MF-01A 56 years, male, white, stage:Stage IIIA, dead, 214 days 2083.6
TCGA-DD-AACL-01A 66 years, female, asian, stage:Stage I, dead, 107 days 2083.5
TCGA-DD-A3A3-01A 45 years, male, asian, stage:Stage I, dead, 535 days 2081.3
TCGA-DD-A73E-01A 66 years, male, white, stage:Stage I, alive, 44 days 2065.9
TCGA-DD-A116-01A 68 years, male, asian, stage:Stage IIIA, dead, 1622 days 2062.6
TCGA-DD-AAD8-01A 73 years, female, asian, stage:Stage I, alive, 1219 days 2062.0
TCGA-G3-AAV2-01A 50 years, male, white, stage:Stage I, alive, 372 days 2056.5
TCGA-DD-AAE4-01A 49 years, female, asian, stage:Stage I, alive, 608 days 2051.9
TCGA-ED-A66X-01A 35 years, male, asian, stage:Stage IIIA, alive, 406 days 2051.3
TCGA-DD-AAE6-01A 59 years, female, asian, stage:Stage I, alive, 141 days 2026.7
TCGA-DD-AACY-01A 61 years, male, asian, stage:Stage I, alive, 1450 days 2016.2
TCGA-G3-A5SJ-01A 59 years, male, white, stage:Stage I, alive, 698 days 2013.6
TCGA-DD-AAD1-01A 51 years, female, asian, stage:Stage I, alive, 564 days 2001.6
TCGA-CC-A8HT-01A 74 years, male, asian, stage:Stage IIIA, dead, 140 days 1990.5
TCGA-BC-A10U-01A 69 years, male, white, stage:'--, dead, 837 days 1989.9
TCGA-DD-AADM-01A 58 years, male, asian, stage:Stage II, dead, 12 days 1987.1
TCGA-DD-A119-01A 40 years, male, asian, stage:Stage IV, dead, 223 days 1985.0
TCGA-GJ-A9DB-01A 68 years, male, white, stage:Stage I, dead, 67 days 1977.0
TCGA-DD-A4NN-01A 56 years, female, white, stage:Stage I, dead, 899 days 1973.7
TCGA-DD-AAC8-01A 72 years, male, asian, stage:Stage I, dead, 16 days 1952.6
TCGA-CC-A7IK-01A 59 years, male, asian, stage:Stage IIIA, dead, 262 days 1945.0
TCGA-2Y-A9H7-01A 81 years, female, white, stage:Stage I, alive, 1168 days 1942.9
TCGA-CC-A8HS-01A 18 years, male, asian, stage:Stage IIIC, dead, 300 days 1940.0
TCGA-DD-AAW3-01A 69 years, male, asian, stage:Stage I, alive, 1633 days 1936.3
TCGA-ZS-A9CG-01A 55 years, male, white, stage:Stage II, alive, 341 days 1935.7
TCGA-DD-A113-01A 55 years, female, white, stage:Stage II, alive, 2425 days 1924.5
TCGA-BC-A69I-01A 69 years, male, white, stage:Stage I, alive, 387 days 1921.7
TCGA-CC-5262-01A 67 years, male, asian, stage:Stage IIIC, dead, 103 days 1917.6
TCGA-DD-AAEK-01A 51 years, male, asian, stage:Stage II, alive, 1067 days 1917.2
TCGA-RC-A7S9-01A 47 years, female, asian, stage:Stage I, alive, 640 days 1916.8
TCGA-DD-AADS-01A 63 years, male, asian, stage:Stage I, alive, 474 days 1903.5
TCGA-2Y-A9H2-01A 64 years, female, white, stage:Stage I, alive, 1731 days 1896.1
TCGA-BC-A10Q-01A 72 years, female, white, stage:'--, dead, 1135 days 1885.1
TCGA-MI-A75C-01A 64 years, male, white, stage:Stage I, alive, 291 days 1884.9
TCGA-CC-A3MB-01A 36 years, male, asian, stage:Stage IIIA, dead, 315 days 1884.7
TCGA-FV-A3R2-01A 75 years, male, white, stage:Stage I, dead, 194 days 1883.9
TCGA-MI-A75E-01A 61 years, male, white, stage:Stage IIIC, alive, 507 days 1877.3
TCGA-EP-A26S-01A 70 years, male, white, stage:Stage I, alive, 608 days 1870.0
TCGA-CC-5259-01A 60 years, female, asian, stage:Stage IIIC, alive, 250 days 1866.3
TCGA-CC-A7IJ-01A 56 years, male, asian, stage:Stage II, alive, 382 days 1836.4
TCGA-DD-AAEH-01A 73 years, male, asian, stage:Stage I, alive, 784 days 1834.1
TCGA-FV-A3I1-01A 81 years, female, white, stage:Stage II, dead, 247 days 1821.8
TCGA-G3-A7M9-01A 70 years, male, white, stage:Stage IIIB, dead, 56 days 1820.5
TCGA-G3-A5SI-01A 44 years, male, asian, stage:Stage II, dead, 768 days 1817.5
TCGA-DD-A4NR-01A 85 years, female, white, stage:Stage I, dead, 9 days 1809.1
TCGA-BC-A5W4-01A 69 years, male, white, stage:Stage IIIA, dead, 547 days 1804.4
TCGA-2Y-A9HB-01A 66 years, male, stage:Stage I, alive, 260 days 1804.3
TCGA-DD-AADA-01A 66 years, female, asian, stage:Stage I, alive, 1233 days 1802.6
TCGA-BC-A10T-01A 76 years, male, white, stage:'--, dead, 837 days 1783.3
TCGA-DD-AACC-01A 61 years, male, asian, stage:Stage I, dead, 1685 days 1769.5
TCGA-FV-A2QQ-01A 80 years, male, white, stage:Stage I, alive, 729 days 1764.6
TCGA-DD-AADY-01A 55 years, female, asian, stage:Stage I, alive, 555 days 1763.2
TCGA-BC-A10S-01A 81 years, male, white, stage:'--, dead, 1423 days 1752.6
TCGA-CC-A9FW-01A 68 years, male, asian, stage:Stage IIIA, alive, 248 days 1746.9
TCGA-HP-A5N0-01A 90 years, female, stage:'--, dead, 752 days 1745.7
TCGA-DD-AAVS-01A 56 years, male, asian, stage:Stage I, alive, 1823 days 1744.0
TCGA-G3-A3CJ-01A 52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days 1743.9
TCGA-G3-AAV0-01A 58 years, male, asian, stage:Stage I, alive, 476 days 1743.2
TCGA-DD-A1EG-01A 76 years, male, white, stage:Stage I, dead, 1372 days 1734.2
TCGA-BC-A216-01A 62 years, female, white, stage:Stage IIIA, alive, 1351 days 1733.5
TCGA-DD-A4NS-01A 61 years, female, white, stage:Stage I, dead, 2456 days 1733.3
TCGA-BC-A3KF-01A 66 years, female, white, stage:Stage I, alive, 8 days 1717.8
TCGA-DD-AAVR-01A 44 years, male, asian, stage:Stage I, alive, 2513 days 1714.5
TCGA-UB-A7ME-01A 51 years, male, asian, stage:Stage I, alive, 486 days 1711.4
TCGA-MR-A8JO-01A 34 years, male, white, stage:Stage I, alive, 330 days 1707.3
TCGA-DD-A4NH-01A 65 years, female, white, stage:Stage IIIB, alive, 917 days 1706.9
TCGA-DD-AAVZ-01A 38 years, male, asian, stage:Stage I, alive, 1900 days 1703.5
TCGA-GJ-A3OU-01A 59 years, male, white, stage:Stage I, alive, 879 days 1703.4
TCGA-G3-A3CH-01A 53 years, male, asian, stage:Stage IIIA, alive, 780 days 1698.4
TCGA-DD-A3A1-01A 65 years, male, stage:Stage IIIA, dead, 233 days 1695.2
TCGA-RC-A7SF-01A 66 years, male, asian, stage:Stage I, alive, 579 days 1690.1
TCGA-ZS-A9CD-01A 73 years, male, white, stage:Stage II, dead, 1386 days 1686.3
TCGA-ED-A97K-01A 54 years, male, asian, stage:Stage IIIA, alive, 6 days 1666.4
TCGA-DD-AAEI-01A 72 years, male, asian, stage:Stage I, alive, 1531 days 1664.8
TCGA-WJ-A86L-01A 68 years, female, white, stage:Stage I, alive, 345 days 1661.5
TCGA-O8-A75V-01A 54 years, male, stage:Stage I, alive, 538 days 1661.2
TCGA-DD-AAW2-01A 69 years, male, asian, stage:Stage I, alive, 1855 days 1660.9
TCGA-DD-AACK-01A 70 years, male, asian, stage:Stage I, alive, 9 days 1652.1
TCGA-CC-A5UD-01A 45 years, male, asian, stage:Stage IIIA, dead, 304 days 1634.9
TCGA-WQ-A9G7-01A 71 years, female, white, stage:'--, alive, 30 days 1625.9
TCGA-DD-AAE9-01A 69 years, male, asian, stage:Stage I, alive, 722 days 1622.1
TCGA-2Y-A9H5-01A 59 years, female, white, stage:Stage I, dead, 555 days 1616.7
TCGA-CC-A9FS-01A 55 years, male, asian, stage:Stage II, alive, 211 days 1616.7
TCGA-CC-A7IL-01A 61 years, male, asian, stage:Stage IIIA, dead, 278 days 1604.1
TCGA-ZS-A9CE-01A 79 years, female, white, stage:Stage II, alive, 1241 days 1601.0
TCGA-ZP-A9CZ-01A 72 years, male, asian, stage:'--, alive, 706 days 1591.7
TCGA-T1-A6J8-01A 68 years, male, white, stage:'--, alive, 23 days 1578.4
TCGA-DD-AAE3-01A 50 years, male, asian, stage:Stage I, alive, 566 days 1578.2
TCGA-DD-A73D-01A 68 years, female, white, stage:Stage II, alive, 693 days 1574.1
TCGA-RC-A6M5-01A 20 years, female, white, stage:Stage IVA, alive, 15 days 1572.6
TCGA-2Y-A9HA-01A 70 years, male, white, stage:Stage II, dead, 36 days 1558.3
TCGA-EP-A2KB-01A 46 years, female, white, stage:Stage I, dead, 596 days 1557.1
TCGA-EP-A2KC-01A 62 years, male, black or african american, stage:Stage I, dead, 19 days 1555.3
TCGA-ED-A7PX-01A 48 years, female, asian, stage:Stage II, alive, 6 days 1549.6
TCGA-CC-A7IH-01A 58 years, male, asian, stage:Stage IIIA, alive, 365 days 1548.2
TCGA-DD-A4NV-01A 61 years, male, white, stage:Stage IIIA, alive, 2398 days 1540.9
TCGA-BC-A3KG-01A 68 years, female, white, stage:Stage II, alive, 680 days 1523.4
TCGA-XR-A8TD-01A 49 years, female, white, stage:Stage IIIB, alive, 1030 days 1517.8
TCGA-DD-AADL-01A 58 years, male, asian, stage:Stage I, alive, 636 days 1502.6
TCGA-DD-AADG-01A 70 years, male, asian, stage:Stage IIIA, alive, 1145 days 1497.0
TCGA-DD-AAE1-01A 52 years, male, asian, stage:Stage I, alive, 552 days 1479.7
TCGA-DD-A11C-01A 69 years, male, white, stage:Stage I, alive, 662 days 1476.6
TCGA-KR-A7K0-01A 65 years, male, white, stage:Stage I, dead, 65 days 1476.3
TCGA-BC-A10W-01A 50 years, male, asian, stage:'--, dead, 91 days 1475.9
TCGA-GJ-A6C0-01A 75 years, female, white, stage:Stage II, dead, 31 days 1471.8
TCGA-2Y-A9H9-01A 70 years, male, white, stage:Stage I, alive, 697 days 1466.3
TCGA-DD-AADU-01A 60 years, male, asian, stage:Stage II, alive, 554 days 1464.9
TCGA-FV-A23B-01A 70 years, female, white, stage:Stage II, dead, 1852 days 1463.1
TCGA-UB-A7MD-01A 67 years, male, black or african american, stage:Stage I, dead, 52 days 1461.9
TCGA-DD-AADR-01A 58 years, male, asian, stage:Stage I, alive, 2028 days 1461.7
TCGA-DD-AAD3-01A 43 years, male, asian, stage:Stage I, alive, 1295 days 1457.1
TCGA-DD-AAVV-01A 56 years, male, asian, stage:Stage II, alive, 2455 days 1453.7
TCGA-2Y-A9H6-01A 68 years, female, white, stage:Stage I, alive, 357 days 1447.8
TCGA-BC-A112-01A 80 years, male, white, stage:'--, dead, 153 days 1443.4
TCGA-UB-AA0U-01A 60 years, male, white, stage:Stage II, alive, 327 days 1442.3
TCGA-ZP-A9D4-01A 64 years, female, white, stage:'--, alive, 395 days 1435.1
TCGA-G3-AAV3-01A 58 years, female, white, stage:Stage II, alive, 412 days 1434.8
TCGA-5R-AAAM-01A 65 years, female, white, stage:Stage II, dead, 46 days 1434.0
TCGA-BD-A3EP-01A 75 years, female, black or african american, stage:Stage I, alive, 409 days 1431.7
TCGA-XR-A8TE-01A 16 years, male, white, stage:Stage IIIA, alive, 925 days 1427.8
TCGA-LG-A9QC-01A 48 years, male, white, stage:Stage I, alive, 425 days 1427.6
TCGA-DD-AACV-01A 53 years, male, asian, stage:Stage I, alive, 1531 days 1422.3
TCGA-WX-AA47-01A 33 years, female, white, stage:Stage IIIA, dead, 556 days 1420.4
TCGA-5C-A9VH-01A 70 years, male, white, stage:Stage I, alive, 322 days 1415.7
TCGA-DD-AACX-01A 66 years, male, asian, stage:Stage II, alive, 170 days 1413.0
TCGA-CC-5264-01A 71 years, male, asian, stage:Stage IIIA, dead, 102 days 1406.6
TCGA-ED-A627-01A 74 years, male, white, stage:Stage I, alive, 423 days 1398.2
TCGA-PD-A5DF-01A 58 years, female, white, stage:Stage IIIB, dead, 639 days 1390.7
TCGA-DD-A3A5-01A 66 years, female, white, stage:Stage III, dead, 3125 days 1388.1
TCGA-3K-AAZ8-01A 65 years, male, black or african american, stage:Stage IIIB, alive, 396 days 1384.2
TCGA-BD-A2L6-01A 69 years, male, white, stage:'--, alive, 1363 days 1376.9
TCGA-DD-A3A8-01A 75 years, male, white, stage:Stage II, dead, 11 days 1369.2
TCGA-ZS-A9CF-01A 64 years, male, white, stage:Stage II, alive, 2412 days 1367.5
TCGA-DD-A1EC-01A 20 years, female, white, stage:Stage I, alive, 602 days 1366.7
TCGA-DD-AAVX-01A 38 years, male, asian, stage:Stage II, alive, 1718 days 1363.9
TCGA-G3-AAV7-01A 38 years, male, asian, stage:Stage II, alive, 361 days 1357.3
TCGA-DD-AAW0-01A 54 years, male, asian, stage:Stage I, alive, 2015 days 1356.3
TCGA-DD-A4NO-01A 65 years, male, white, stage:Stage I, alive, 2245 days 1352.2
TCGA-DD-AAE2-01A 51 years, male, asian, stage:Stage I, alive, 638 days 1351.2
TCGA-DD-A4NB-01A 25 years, male, white, stage:Stage I, alive, 989 days 1350.8
TCGA-DD-AAD0-01A 73 years, female, asian, stage:Stage I, alive, 137 days 1350.6
TCGA-ED-A459-01A 47 years, male, asian, stage:Stage II, alive, 910 days 1348.1
TCGA-K7-A6G5-01A 66 years, male, white, stage:Stage I, alive, 512 days 1342.0
TCGA-DD-AADF-01A 64 years, female, asian, stage:Stage I, dead, 115 days 1339.5
TCGA-ED-A66Y-01A 51 years, female, asian, stage:Stage IIIA, dead, 296 days 1337.6
TCGA-EP-A12J-01A 62 years, male, black or african american, stage:Stage I, alive, 570 days 1312.8
TCGA-5C-AAPD-01A 61 years, male, asian, stage:Stage II, alive, 20 days 1307.3
TCGA-CC-A5UC-01A 63 years, male, asian, stage:Stage IIIA, dead, 347 days 1306.9
TCGA-DD-AAVW-01A 35 years, male, asian, stage:Stage I, alive, 2317 days 1301.5
TCGA-G3-A25V-01A 68 years, male, white, stage:Stage I, alive, 860 days 1299.7
TCGA-G3-A7M7-01A 65 years, male, white, stage:Stage I, alive, 361 days 1298.4
TCGA-DD-AAEG-01A 59 years, female, asian, stage:Stage I, alive, 719 days 1297.9
TCGA-BC-A10R-01A 66 years, female, white, stage:'--, dead, 308 days 1293.9
TCGA-DD-AAD2-01A 66 years, male, asian, stage:Stage I, alive, 658 days 1290.8
TCGA-XR-A8TG-01A 58 years, male, white, stage:Stage I, alive, 898 days 1290.6
TCGA-CC-A3MC-01A 54 years, male, asian, stage:Stage IIIA, alive, 363 days 1283.3
TCGA-ZP-A9D0-01A 67 years, female, black or african american, stage:'--, alive, 1091 days 1281.6
TCGA-DD-A39W-01A 29 years, female, white, stage:Stage III, dead, 827 days 1276.6
TCGA-2Y-A9GW-01A 64 years, male, white, stage:Stage I, dead, 1271 days 1274.5
TCGA-5R-AA1D-01A 17 years, female, white, stage:Stage IIIA, alive, 449 days 1271.1
TCGA-DD-AADB-01A 51 years, male, asian, stage:Stage I, alive, 1242 days 1268.2
TCGA-BC-A110-01A 51 years, female, black or african american, stage:'--, dead, 2116 days 1268.1
TCGA-ED-A82E-01A 60 years, female, asian, stage:Stage IIIA, alive, 408 days 1265.5
TCGA-DD-AACE-01A 62 years, male, asian, stage:Stage I, alive, 2184 days 1258.3
TCGA-ZP-A9D1-01A 56 years, female, white, stage:'--, alive, 21 days 1251.4
TCGA-2Y-A9GX-01A 68 years, male, white, stage:Stage I, alive, 2442 days 1246.2
TCGA-QA-A7B7-01A 48 years, male, black or african american, stage:Stage II, alive, 94 days 1237.6
TCGA-DD-A4NA-01A 67 years, female, white, stage:Stage IIIC, alive, 1008 days 1230.7
TCGA-DD-A118-01A 77 years, female, white, stage:Stage II, alive, 3437 days 1228.2
TCGA-ED-A7XP-01A 53 years, female, asian, stage:Stage II, alive, 400 days 1220.4
TCGA-DD-A1EE-01A 73 years, male, white, stage:Stage IIIA, dead, 349 days 1219.2
TCGA-RC-A6M4-01A 74 years, female, white, stage:Stage IIIA, alive, 22 days 1219.2
TCGA-DD-A1EA-01A 68 years, male, asian, stage:Stage II, alive, 2415 days 1201.7
TCGA-EP-A3JL-01A 76 years, male, white, stage:Stage I, alive, 303 days 1196.4
TCGA-G3-A3CK-01A 61 years, male, asian, stage:Stage I, alive, 585 days 1195.7
TCGA-DD-A4NP-01A 32 years, male, white, stage:Stage I, alive, 3308 days 1186.8
TCGA-DD-AAW1-01A 55 years, male, asian, stage:Stage IIIA, alive, 1989 days 1185.3
TCGA-RC-A7SB-01A 53 years, male, asian, stage:Stage II, alive, 588 days 1180.6
TCGA-DD-AAVY-01A 56 years, male, asian, stage:Stage IIIA, alive, 1970 days 1179.8
TCGA-DD-AACH-01A 69 years, male, asian, stage:Stage II, dead, 195 days 1172.5
TCGA-NI-A8LF-01A 74 years, male, white, stage:Stage I, alive, 799 days 1142.1
TCGA-DD-A1EL-01A 23 years, male, black or african american, stage:Stage II, dead, 415 days 1140.3
TCGA-WX-AA46-01A 61 years, male, white, stage:Stage II, alive, 756 days 1133.3
TCGA-DD-A1EK-01A 64 years, female, white, stage:Stage IVB, dead, 558 days 1114.5
TCGA-DD-A11B-01A 73 years, male, white, stage:Stage I, dead, 14 days 1113.0
TCGA-DD-A115-01A 53 years, male, white, stage:Stage IIIA, dead, 2542 days 1104.2
TCGA-G3-A25U-01A 63 years, female, asian, stage:Stage I, alive, 1636 days 1102.6
TCGA-CC-A3MA-01A 61 years, male, asian, stage:Stage IIIA, dead, 303 days 1086.0
TCGA-FV-A2QR-01A 75 years, male, white, stage:Stage I, dead, 581 days 1083.0
TCGA-2Y-A9H0-01A 49 years, male, white, stage:Stage IIIA, alive, 3675 days 1075.0
TCGA-FV-A3R3-01A 38 years, female, white, stage:Stage I, dead, 366 days 1074.6
TCGA-5R-AA1C-01A 57 years, male, white, stage:Stage II, alive, 520 days 1072.1
TCGA-DD-AAC9-01A 51 years, male, asian, stage:Stage I, alive, 347 days 1049.3
TCGA-4R-AA8I-01A 66 years, male, white, stage:Stage II, dead, 262 days 1048.3
TCGA-DD-AACT-01A 69 years, female, asian, stage:Stage I, alive, 1562 days 1045.8
TCGA-ES-A2HT-01A 54 years, male, black or african american, stage:Stage I, dead, 438 days 1031.7
TCGA-BC-A10Z-01A 62 years, female, white, stage:Stage I, dead, 34 days 1016.4
TCGA-G3-AAV1-01A 51 years, male, asian, stage:Stage IIIC, dead, 359 days 1000.7
TCGA-2Y-A9GZ-01A 82 years, female, white, stage:Stage II, dead, 848 days 1000.5
TCGA-G3-A5SL-01A 70 years, male, white, stage:Stage II, alive, 621 days 998.7
TCGA-DD-A4ND-01A 56 years, female, white, stage:Stage I, alive, 2746 days 986.5
TCGA-DD-A73C-01A 65 years, female, white, stage:Stage IIIA, alive, 701 days 972.4
TCGA-DD-A73F-01A 77 years, female, white, stage:Stage I, alive, 1085 days 968.5
TCGA-DD-A4NG-01A 77 years, male, white, stage:Stage IIIA, dead, 802 days 958.1
TCGA-HP-A5MZ-01A 78 years, male, stage:Stage I, dead, 91 days 950.5
TCGA-K7-A5RG-01A 66 years, male, black or african american, stage:Stage I, alive, 519 days 915.1
TCGA-DD-A73A-01A 71 years, male, white, stage:Stage I, alive, 728 days 914.0
TCGA-G3-A3CG-01A 80 years, male, white, stage:Stage I, alive, 673 days 913.0
TCGA-G3-A25Z-01A 58 years, male, asian, stage:Stage I, alive, 655 days 910.8
TCGA-BC-A10X-01A 52 years, female, white, stage:Stage IIIA, dead, 770 days 909.8
TCGA-ED-A4XI-01A 58 years, male, asian, stage:Stage II, alive, 819 days 906.8
TCGA-2Y-A9GV-01A 54 years, female, white, stage:Stage I, dead, 2532 days 903.6
TCGA-LG-A6GG-01A 79 years, female, white, stage:Stage II, alive, 387 days 902.1
TCGA-2Y-A9GU-01A 55 years, female, white, stage:Stage I, alive, 1939 days 899.3
TCGA-DD-A4NQ-01A 60 years, male, white, stage:Stage II, dead, 373 days 876.3
TCGA-DD-A3A4-01A 37 years, male, white, stage:Stage IIIA, dead, 612 days 868.8
TCGA-2Y-A9GT-01A 51 years, male, white, stage:Stage I, dead, 1624 days 867.1
TCGA-DD-AADJ-01A 70 years, female, asian, stage:Stage I, alive, 1066 days 866.2
TCGA-NI-A4U2-01A 71 years, male, white, stage:Stage IIIA, dead, 1791 days 858.0
TCGA-LG-A9QD-01A 68 years, male, white, stage:Stage IIIA, alive, 366 days 848.0
TCGA-DD-A11D-01A 57 years, female, white, stage:Stage I, dead, 1560 days 847.8
TCGA-ZP-A9CV-01A 59 years, male, white, stage:'--, dead, 1088 days 837.9
TCGA-DD-A4NF-01A 72 years, male, white, stage:Stage I, alive, 942 days 833.9
TCGA-DD-A1EB-01A 72 years, female, stage:Stage I, alive, 2017 days 828.8
TCGA-DD-AADK-01A 68 years, female, asian, stage:Stage II, alive, 1049 days 824.9
TCGA-FV-A496-01A 84 years, female, white, stage:Stage I, alive, 10 days 821.0
TCGA-DD-A4NI-01A 67 years, male, white, stage:Stage II, alive, 816 days 808.9
TCGA-UB-AA0V-01A 69 years, female, white, stage:Stage I, alive, 314 days 797.6
TCGA-G3-AAV4-01A 83 years, female, white, stage:Stage I, dead, 27 days 787.3
TCGA-DD-A1ED-01A 68 years, male, white, stage:Stage I, alive, 2301 days 751.4
TCGA-G3-A3CI-01A 71 years, male, white, stage:Stage I, alive, 180 days 746.5
TCGA-DD-AAE7-01A 72 years, male, asian, stage:Stage I, alive, 644 days 744.2
TCGA-ZP-A9CY-01A 66 years, female, white, stage:'--, alive, 782 days 737.3
TCGA-DD-A4NK-01A 80 years, female, white, stage:Stage IIIA, dead, 1210 days 737.2
TCGA-BD-A3ER-01A 62 years, male, white, stage:Stage II, alive, 1115 days 732.1
TCGA-MR-A520-01A 58 years, male, white, stage:Stage I, alive, 229 days 710.4
TCGA-DD-A4NL-01A 46 years, male, white, stage:Stage I, alive, 1711 days 698.3
TCGA-K7-A5RF-01A 64 years, male, white, stage:Stage I, alive, 631 days 689.4
TCGA-G3-A5SM-01A 58 years, male, white, stage:Stage II, alive, 520 days 687.0
TCGA-G3-A7M8-01A 31 years, male, asian, stage:Stage I, alive, 430 days 678.6
TCGA-DD-A3A2-01A 76 years, female, white, stage:Stage I, dead, 2131 days 652.2
TCGA-2Y-A9H8-01A 85 years, female, white, stage:'--, dead, 633 days 636.3
TCGA-DD-A73B-01A 72 years, female, white, stage:Stage I, dead, 283 days 615.7
TCGA-G3-A5SK-01A 58 years, male, white, stage:Stage I, alive, 744 days 609.9
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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.

RPLP1 is potential 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.

: 3522.2
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 3247.3
Number of samples 231
Samples
Sample Description pTPM
DO50855 47 years, male, NA, stage:2, alive, 570 days 9808.7
DO23526 66 years, male, NA, stage:3, alive, 1050 days 9417.1
DO50814 83 years, male, NA, stage:3, alive, 420 days 9236.9
DO48682 72 years, female, NA, stage:3, dead, 120 days 9086.0
DO48741 64 years, male, NA, stage:3, alive, 240 days 9075.4
DO50806 70 years, male, NA, stage:4, alive, 540 days 8319.4
DO45161 74 years, male, NA, stage:2, dead, 540 days 7875.6
DO50785 37 years, male, NA, stage:4, dead, 90 days 7848.8
DO50815 62 years, male, NA, stage:3, alive, 150 days 7769.9
DO45093 71 years, male, NA, stage:2, dead, 720 days 7728.4
DO45217 69 years, female, NA, stage:3, dead, 270 days 7121.3
DO23516 69 years, male, NA, stage:3, dead, 20 days 6818.6
DO23508 79 years, female, NA, stage:2, alive, 390 days 6465.6
DO45269 59 years, male, NA, stage:3, alive, 750 days 6330.5
DO45245 75 years, female, NA, stage:2, dead, 240 days 6020.8
DO48747 62 years, male, NA, stage:3, alive, 540 days 5869.2
DO23519 65 years, male, NA, stage:3, alive, 630 days 5841.9
DO45251 57 years, female, NA, stage:2, alive, 900 days 5738.3
DO50799 66 years, female, NA, stage:2, alive, 540 days 5709.6
DO23537 79 years, male, NA, stage:2, dead, 900 days 5656.6
DO23515 71 years, male, NA, stage:2, alive, 1230 days 5624.3
DO50816 63 years, male, NA, stage:2, alive, 390 days 5487.0
DO45297 61 years, female, NA, stage:4, dead, 1260 days 5478.3
DO45097 69 years, male, NA, stage:3, alive, 1620 days 5353.9
DO45289 78 years, female, NA, stage:3, alive, 360 days 5287.9
DO45145 78 years, male, NA, stage:3, dead, 60 days 5278.0
DO23523 52 years, male, NA, stage:3, alive, 1080 days 5261.4
DO45239 42 years, male, NA, stage:2, alive, 870 days 5180.4
DO45307 54 years, female, NA, stage:4, dead, 240 days 5087.9
DO45287 74 years, male, NA, stage:1, alive, 390 days 5020.4
DO23540 73 years, male, NA, stage:1, alive, 750 days 5017.0
DO23530 53 years, male, NA, stage:4, dead, 180 days 4946.6
DO23521 63 years, male, NA, stage:3, alive, 1110 days 4925.3
DO23511 83 years, female, NA, stage:3, dead, 180 days 4882.3
DO50809 56 years, male, NA, stage:3, dead, 720 days 4849.7
DO48697 64 years, female, NA, stage:2, dead, 810 days 4800.4
DO45305 66 years, male, NA, stage:4, alive, 300 days 4791.2
DO45301 56 years, male, NA, stage:2, dead, 1440 days 4784.9
DO45092 62 years, male, NA, stage:4, dead, 1200 days 4670.2
DO48730 73 years, female, NA, stage:2, alive, 630 days 4638.7
DO45277 64 years, male, NA, stage:3, alive, 600 days 4628.8
DO45299 70 years, female, NA, stage:1, alive, 1440 days 4613.6
DO45303 62 years, female, NA, stage:3, alive, 990 days 4589.9
DO45247 31 years, female, NA, stage:2, alive, 210 days 4587.5
DO48737 52 years, male, NA, stage:1, alive, 720 days 4540.9
DO48715 58 years, female, NA, stage:2, dead, 690 days 4524.6
DO45249 57 years, male, NA, stage:1, alive, 630 days 4424.9
DO50793 76 years, male, NA, stage:4, alive, 540 days 4391.1
DO45173 63 years, male, NA, stage:3, alive, 1170 days 4378.2
DO45273 62 years, male, NA, stage:2, alive, 480 days 4369.8
DO45275 65 years, male, NA, stage:3, dead, 10 days 4319.3
DO45211 76 years, male, NA, stage:3, alive, 240 days 4301.5
DO50778 60 years, male, NA, stage:4, alive, 630 days 4261.2
DO45283 60 years, male, NA, stage:3, alive, 510 days 4221.8
DO48717 54 years, male, NA, stage:4, dead, 180 days 4204.6
DO45259 65 years, male, NA, stage:3, alive, 330 days 4186.7
DO45219 78 years, male, NA, stage:2, alive, 1080 days 4166.7
DO45127 73 years, male, NA, stage:3, dead, 420 days 4164.9
DO45103 47 years, male, NA, stage:3, alive, 450 days 4107.2
DO23545 67 years, male, NA, stage:2, dead, 570 days 4057.5
DO45279 67 years, male, NA, stage:3, alive, 1290 days 4021.6
DO48720 62 years, female, NA, stage:2, alive, 570 days 4011.8
DO45241 49 years, male, NA, stage:1, alive, 1080 days 3942.6
DO50791 79 years, female, NA, stage:1, dead, 480 days 3927.1
DO45281 83 years, male, NA, stage:4, alive, 750 days 3828.4
DO23547 74 years, male, NA, stage:1, alive, 1020 days 3823.3
DO45263 67 years, male, NA, stage:3, dead, 270 days 3798.4
DO45213 58 years, male, NA, stage:1, alive, 1200 days 3782.8
DO48759 73 years, male, NA, stage:3, alive, 720 days 3768.3
DO45139 63 years, male, NA, stage:3, alive, 1320 days 3734.5
DO45267 73 years, male, NA, stage:3, dead, 570 days 3712.5
DO45265 73 years, male, NA, stage:3, alive, 1020 days 3710.1
DO45253 50 years, male, NA, stage:2, alive, 870 days 3673.3
DO23548 78 years, female, NA, stage:1, alive, 840 days 3621.7
DO48723 73 years, male, NA, stage:1, alive, 600 days 3619.1
DO45205 67 years, female, NA, stage:2, dead, 90 days 3547.7
DO48751 68 years, male, NA, stage:2, dead, 480 days 3522.2
DO45187 32 years, female, NA, stage:1, alive, 1260 days 3511.3
DO45185 89 years, male, NA, stage:2, alive, 600 days 3491.1
DO50811 62 years, male, NA, stage:1, alive, 450 days 3449.4
DO45125 58 years, male, NA, stage:3, alive, 1680 days 3418.8
DO45189 85 years, female, NA, stage:2, alive, 1200 days 3413.8
DO50825 70 years, male, NA, stage:2, alive, 390 days 3412.7
DO48736 76 years, female, NA, stage:1, alive, 600 days 3352.6
DO23525 71 years, male, NA, stage:4, alive, 1050 days 3348.0
DO23549 74 years, male, NA, stage:3, alive, 990 days 3345.7
DO45193 68 years, female, NA, stage:4, dead, 120 days 3345.5
DO45113 58 years, male, NA, stage:3, alive, 1560 days 3335.4
DO45155 69 years, male, NA, stage:2, alive, 2160 days 3239.6
DO48712 50 years, male, NA, stage:2, alive, 810 days 3186.6
DO45141 73 years, male, NA, stage:2, alive, 1320 days 3156.3
DO50839 47 years, female, NA, stage:3, alive, 330 days 3149.0
DO23543 63 years, male, NA, stage:2, alive, 1020 days 3133.0
DO48733 72 years, male, NA, stage:2, alive, 600 days 3101.9
DO50783 62 years, male, NA, stage:3, alive, 480 days 3050.6
DO50800 74 years, male, NA, stage:2, alive, 510 days 3026.8
DO45165 75 years, male, NA, stage:2, alive, 690 days 3012.7
DO45191 61 years, female, NA, stage:2, alive, 1200 days 2983.0
DO48732 73 years, male, NA, stage:3, alive, 630 days 2974.7
DO48725 66 years, male, NA, stage:1, alive, 780 days 2967.4
DO48672 81 years, male, NA, stage:2, alive, 450 days 2961.9
DO45257 46 years, male, NA, stage:3, alive, 810 days 2951.9
DO23533 61 years, male, NA, stage:2, alive, 900 days 2937.5
DO23528 45 years, female, NA, stage:2, alive, 1020 days 2929.2
DO45175 74 years, male, NA, stage:2, alive, 1140 days 2900.7
DO45143 69 years, male, NA, stage:3, alive, 1290 days 2891.8
DO23546 63 years, male, NA, stage:2, alive, 1050 days 2833.5
DO45153 77 years, female, NA, stage:2, alive, 1380 days 2825.3
DO50805 72 years, male, NA, stage:2, alive, 690 days 2822.5
DO48728 74 years, female, NA, stage:2, alive, 150 days 2800.5
DO45203 71 years, female, NA, stage:2, alive, 1170 days 2795.2
DO45221 75 years, female, NA, stage:4, dead, 390 days 2785.8
DO48742 76 years, male, NA, stage:2, alive, 600 days 2778.8
DO45171 56 years, male, NA, stage:3, alive, 600 days 2775.2
DO50802 49 years, male, NA, stage:2, alive, 930 days 2764.3
DO45183 72 years, female, NA, stage:2, dead, 570 days 2735.1
DO23524 71 years, female, NA, stage:2, alive, 1050 days 2711.5
DO50822 66 years, male, NA, stage:2, alive, 510 days 2679.4
DO45225 69 years, male, NA, stage:1, alive, 1050 days 2661.1
DO45091 56 years, male, NA, stage:2, dead, 1320 days 2655.0
DO23512 60 years, male, NA, stage:1, alive, 1260 days 2650.2
DO50829 78 years, male, NA, stage:3, alive, 570 days 2649.5
DO23535 67 years, male, NA, stage:1, alive, 960 days 2642.3
DO45131 53 years, male, NA, stage:4, dead, 360 days 2637.5
DO50776 75 years, male, NA, stage:1, alive, 690 days 2619.8
DO45095 66 years, male, NA, stage:2, alive, 1620 days 2608.4
DO23510 80 years, female, NA, stage:2, alive, 870 days 2606.9
DO23518 67 years, male, NA, stage:2, alive, 1320 days 2599.0
DO48700 78 years, female, NA, stage:2, alive, 810 days 2580.2
DO48706 72 years, male, NA, stage:2, alive, 870 days 2569.9
DO48677 58 years, male, NA, stage:3, alive, 1140 days 2568.4
DO45243 74 years, female, NA, stage:3, alive, 930 days 2568.4
DO48746 76 years, male, NA, stage:3, alive, 570 days 2557.6
DO48679 72 years, male, NA, stage:2, alive, 1200 days 2552.9
DO50819 72 years, female, NA, stage:2, alive, 510 days 2544.8
DO45255 81 years, male, NA, stage:3, alive, 720 days 2543.4
DO45121 61 years, male, NA, stage:3, alive, 1530 days 2538.4
DO45231 84 years, male, NA, stage:2, alive, 930 days 2534.3
DO45109 63 years, male, NA, stage:2, alive, 1590 days 2526.4
DO50798 77 years, male, NA, stage:3, dead, 30 days 2524.7
DO48681 57 years, male, NA, stage:2, alive, 900 days 2516.7
DO45137 38 years, male, NA, stage:1, alive, 1320 days 2479.6
DO45223 67 years, male, NA, stage:4, alive, 1020 days 2469.6
DO45135 77 years, male, NA, stage:1, alive, 1410 days 2436.7
DO45285 59 years, male, NA, stage:3, alive, 480 days 2425.4
DO45197 51 years, male, NA, stage:2, alive, 1170 days 2395.8
DO50820 77 years, female, NA, stage:3, alive, 510 days 2394.0
DO45169 74 years, male, NA, stage:3, alive, 1350 days 2392.8
DO45177 81 years, female, NA, stage:3, alive, 1260 days 2381.6
DO50817 75 years, male, NA, stage:2, alive, 390 days 2373.4
DO23514 64 years, male, NA, stage:2, alive, 1290 days 2373.0
DO48743 69 years, female, NA, stage:2, alive, 570 days 2342.4
DO50813 56 years, male, NA, stage:2, alive, 420 days 2301.3
DO45149 70 years, female, NA, stage:2, alive, 1260 days 2285.2
DO45229 74 years, male, NA, stage:1, alive, 990 days 2275.8
DO23513 76 years, male, NA, stage:3, alive, 1200 days 2269.5
DO45201 49 years, male, NA, stage:1, alive, 900 days 2259.4
DO23542 66 years, male, NA, stage:3, alive, 960 days 2255.1
DO48693 71 years, male, NA, stage:2, alive, 900 days 2236.4
DO23529 72 years, male, NA, stage:4, alive, 930 days 2227.0
DO23532 71 years, female, NA, stage:1, alive, 960 days 2222.6
DO45157 62 years, male, NA, stage:2, alive, 1980 days 2219.6
DO45163 76 years, male, NA, stage:2, alive, 960 days 2217.0
DO23536 56 years, male, NA, stage:2, alive, 930 days 2206.5
DO50840 49 years, male, NA, stage:2, alive, 330 days 2192.2
DO45261 74 years, male, NA, stage:3, alive, 990 days 2141.3
DO23509 60 years, male, NA, stage:3, dead, 780 days 2136.5
DO23539 77 years, male, NA, stage:1, alive, 1110 days 2130.9
DO50844 75 years, male, NA, stage:4, alive, 300 days 2085.2
DO48757 68 years, female, NA, stage:3, alive, 480 days 2080.9
DO23541 65 years, male, NA, stage:2, alive, 930 days 2065.3
DO45159 65 years, male, NA, stage:3, alive, 1470 days 2052.7
DO45207 68 years, male, NA, stage:1, alive, 1050 days 2052.6
DO23538 67 years, male, NA, stage:2, alive, 450 days 2035.4
DO45235 68 years, female, NA, stage:1, alive, 900 days 2026.7
DO45115 81 years, male, NA, stage:2, alive, 840 days 2011.6
DO50832 73 years, male, NA, stage:3, alive, 90 days 1982.0
DO48716 71 years, male, NA, stage:2, alive, 720 days 1963.9
DO50859 77 years, male, NA, stage:2, alive, 180 days 1952.9
DO50808 68 years, male, NA, stage:2, alive, 570 days 1950.0
DO48719 80 years, male, NA, stage:2, alive, 690 days 1939.8
DO48727 81 years, female, NA, stage:2, dead, 390 days 1925.7
DO50807 67 years, male, NA, stage:1, alive, 540 days 1910.2
DO50857 72 years, male, NA, stage:2, alive, 210 days 1875.3
DO50789 73 years, female, NA, stage:2, alive, 570 days 1873.6
DO45233 83 years, male, NA, stage:3, alive, 900 days 1873.6
DO45215 65 years, male, NA, stage:2, alive, 1170 days 1871.8
DO45199 86 years, female, NA, stage:2, alive, 1350 days 1870.7
DO23517 62 years, male, NA, stage:2, alive, 1200 days 1842.0
DO50818 65 years, male, NA, stage:2, alive, 510 days 1822.2
DO48704 68 years, female, NA, stage:3, alive, 750 days 1817.2
DO50774 68 years, female, NA, stage:2, alive, 720 days 1797.8
DO45117 73 years, female, NA, stage:2, dead, 1110 days 1789.5
DO50804 81 years, male, NA, stage:2, alive, 720 days 1773.9
DO45123 78 years, female, NA, stage:2, dead, 570 days 1771.7
DO227801 77 years, female, NA, stage:1, alive, 660 days 1742.0
DO23544 67 years, male, NA, stage:2, alive, 960 days 1738.1
DO23534 60 years, male, NA, stage:2, alive, 840 days 1711.0
DO45099 46 years, male, NA, stage:3, alive, 1590 days 1704.5
DO50850 74 years, male, NA, stage:3, alive, 720 days 1699.6
DO45096 69 years, male, NA, stage:2, dead, 1290 days 1673.7
DO45133 64 years, male, NA, stage:3, dead, 660 days 1648.7
DO45111 74 years, male, NA, stage:2, alive, 1590 days 1635.2
DO50845 72 years, male, NA, stage:3, alive, 210 days 1608.3
DO50787 63 years, male, NA, stage:3, alive, 480 days 1603.6
DO23552 80 years, female, NA, stage:1, alive, 810 days 1578.9
DO227643 79 years, male, NA, stage:2, alive, 1260 days 1573.6
DO45101 63 years, male, NA, stage:2, alive, 1680 days 1544.2
DO48761 55 years, male, NA, stage:2, alive, 870 days 1538.7
DO45181 84 years, female, NA, stage:2, alive, 1200 days 1530.6
DO45119 74 years, male, NA, stage:3, dead, 510 days 1501.7
DO48701 78 years, male, NA, stage:2, alive, 780 days 1493.0
DO23527 72 years, male, NA, stage:1, alive, 1050 days 1476.8
DO48674 80 years, male, NA, stage:2, alive, 1260 days 1475.3
DO50803 62 years, female, NA, stage:1, alive, 540 days 1464.5
DO45179 78 years, female, NA, stage:2, alive, 600 days 1378.3
DO45129 61 years, male, NA, stage:3, alive, 1470 days 1368.5
DO48695 77 years, male, NA, stage:2, alive, 720 days 1367.7
DO45105 61 years, male, NA, stage:1, alive, 1680 days 1356.8
DO23550 69 years, male, NA, stage:1, alive, 990 days 1248.6
DO45094 76 years, male, NA, stage:3, alive, 1650 days 1238.1
DO45237 58 years, male, NA, stage:2, alive, 900 days 1222.3
DO45167 67 years, male, NA, stage:2, dead, 1440 days 1220.1
DO23551 73 years, male, NA, stage:3, dead, 150 days 1199.6
DO45227 57 years, female, NA, stage:2, alive, 1020 days 1146.8
DO45209 70 years, male, NA, stage:4, alive, 1350 days 1115.9
DO23531 78 years, female, NA, stage:3, alive, 900 days 1106.2
DO45107 63 years, female, NA, stage:2, alive, 1710 days 1103.0
DO45195 62 years, male, NA, stage:1, alive, 390 days 1098.7
DO48721 58 years, female, NA, stage:1, alive, 900 days 1064.7
DO48760 70 years, female, NA, stage:2, alive, 690 days 975.1
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LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples 330
Samples
Sample ID Sample type nRPX
172 Normal 0.4
432 Normal 0.4
314 Normal 0.4
358 Normal 0.4
332 Normal 0.3
162 Normal 0.3
186 Normal 0.3
394 Normal 0.3
367 Tumor 0.3
132 Normal 0.3
222 Normal 0.3
136 Normal 0.3
196 Normal 0.3
426 Normal 0.3
557 Tumor 0.3
452 Normal 0.3
443 Tumor 0.2
636 Normal 0.2
113 Tumor 0.2
414 Normal 0.2
342 Normal 0.2
743 Tumor 0.2
463 Tumor 0.2
223 Tumor 0.2
138 Normal 0.2
567 Tumor 0.2
126 Normal 0.2
422 Normal 0.2
467 Tumor 0.2
573 Tumor 0.2
148 Normal 0.2
451 Tumor 0.2
214 Normal 0.2
191 Tumor 0.2
424 Normal 0.2
446 Normal 0.2
195 Tumor 0.2
124 Normal 0.2
666 Normal 0.2
395 Tumor 0.2
111 Normal 0.1
368 Normal 0.1
188 Normal 0.1
135 Tumor 0.1
227 Tumor 0.1
145 Tumor 0.1
464 Normal 0.1
128 Normal 0.1
272 Normal 0.1
331 Tumor 0.1
217 Tumor 0.1
114 Normal 0.1
344 Normal 0.1
662 Normal 0.1
388 Normal 0.1
112 Tumor 0.1
423 Tumor 0.1
648 Normal 0.1
351 Tumor 0.1
278 Normal 0.1
137 Tumor 0.1
571 Tumor 0.1
352 Normal 0.1
147 Tumor 0.1
393 Tumor 0.1
262 Normal 0.1
218 Normal 0.1
618 Normal 0.1
427 Tumor 0.1
285 Tumor 0.1
353 Tumor 0.0
628 Normal 0.0
146 Normal 0.0
664 Normal 0.0
185 Tumor 0.0
366 Normal 0.0
357 Tumor 0.0
268 Normal 0.0
387 Tumor 0.0
125 Tumor 0.0
444 Normal 0.0
434 Normal 0.0
412 Normal 0.0
428 Normal 0.0
356 Normal 0.0
642 Normal 0.0
298 Normal 0.0
468 Normal 0.0
436 Normal 0.0
392 Normal 0.0
258 Normal 0.0
445 Tumor 0.0
724 Normal 0.0
221 Tumor 0.0
661 Tumor 0.0
396 Normal 0.0
462 Normal 0.0
616 Normal 0.0
413 Tumor 0.0
851 Tumor 0.0
327 Tumor 0.0
742 Normal -0.1
376 Normal -0.1
187 Tumor -0.1
123 Tumor -0.1
466 Normal -0.1
213 Tumor -0.1
465 Tumor -0.1
127 Tumor -0.1
354 Normal -0.1
375 Tumor -0.1
813 Tumor -0.1
744 Normal -0.1
257 Tumor -0.1
271 Tumor -0.1
267 Tumor -0.1
362 Normal -0.1
456 Normal -0.1
385 Tumor -0.1
361 Tumor -0.1
435 Tumor -0.1
858 Normal -0.1
568 Normal -0.1
386 Normal -0.1
171 Tumor -0.1
627 Tumor -0.1
721 Tumor -0.1
343 Tumor -0.1
738 Normal -0.1
671 Tumor -0.1
286 Normal -0.1
574 Normal -0.1
433 Tumor -0.1
665 Tumor -0.1
815 Tumor -0.1
365 Tumor -0.1
341 Tumor -0.2
425 Tumor -0.2
1027 Tumor -0.2
232 Normal -0.2
641 Tumor -0.2
312 Normal -0.2
277 Tumor -0.2
713 Tumor -0.2
141 Tumor -0.2
192 Normal -0.2
615 Tumor -0.2
161 Tumor -0.2
564 Normal -0.2
313 Tumor -0.2
563 Tumor -0.2
635 Tumor -0.2
976 Normal -0.2
723 Tumor -0.2
685 Tumor -0.2
384 Normal -0.2
864 Normal -0.2
617 Tumor -0.2
746 Normal -0.2
824 Normal -0.2
1021 Tumor -0.2
431 Tumor -0.2
228 Normal -0.3
663 Tumor -0.3
955 Tumor -0.3
778 Normal -0.3
411 Tumor -0.3
814 Normal -0.3
488 Normal -0.3
224 Normal -0.3
328 Normal -0.3
421 Tumor -0.3
284 Normal -0.3
816 Normal -0.3
482 Normal -0.3
956 Normal -0.3
722 Normal -0.3
391 Tumor -0.3
756 Normal -0.3
1016 Normal -0.3
416 Normal -0.3
981 Tumor -0.3
777 Tumor -0.3
786 Normal -0.3
455 Tumor -0.3
1022 Normal -0.3
937 Tumor -0.3
874 Normal -0.3
528 Normal -0.3
142 Normal -0.3
978 Normal -0.3
983 Tumor -0.3
866 Normal -0.3
873 Tumor -0.3
865 Tumor -0.3
311 Tumor -0.3
938 Normal -0.3
481 Tumor -0.4
672 Normal -0.4
1015 Tumor -0.4
728 Normal -0.4
698 Normal -0.4
212 Normal -0.4
572 Normal -0.4
1044 Normal -0.4
966 Normal -0.4
1026 Normal -0.4
383 Tumor -0.4
448 Normal -0.4
868 Normal -0.4
231 Tumor -0.4
1046 Normal -0.4
297 Tumor -0.4
877 Tumor -0.4
882 Normal -0.4
926 Normal -0.4
497 Tumor -0.4
1028 Normal -0.4
964 Normal -0.4
647 Tumor -0.4
447 Tumor -0.4
867 Tumor -0.4
727 Tumor -0.4
745 Tumor -0.5
878 Normal -0.5
862 Normal -0.5
283 Tumor -0.5
558 Normal -0.5
818 Normal -0.5
883 Tumor -0.5
965 Tumor -0.5
982 Normal -0.5
526 Normal -0.5
686 Normal -0.5
1032 Normal -0.5
984 Normal -0.5
696 Normal -0.5
714 Normal -0.5
967 Tumor -0.5
741 Tumor -0.5
852 Normal -0.5
953 Tumor -0.5
515 Tumor -0.5
737 Tumor -0.5
715 Tumor -0.5
461 Tumor -0.5
914 Normal -0.5
716 Normal -0.5
415 Tumor -0.5
922 Normal -0.5
881 Tumor -0.6
924 Normal -0.6
534 Normal -0.6
364 Normal -0.6
363 Tumor -0.6
968 Normal -0.6
925 Tumor -0.6
944 Normal -0.6
537 Tumor -0.6
695 Tumor -0.6
261 Tumor -0.6
355 Tumor -0.6
977 Tumor -0.6
472 Normal -0.6
1031 Tumor -0.6
546 Normal -0.6
1014 Normal -0.6
884 Normal -0.6
954 Normal -0.6
478 Normal -0.6
517 Tumor -0.6
963 Tumor -0.6
492 Normal -0.6
1042 Normal -0.7
487 Tumor -0.7
857 Tumor -0.7
513 Tumor -0.7
952 Normal -0.7
494 Normal -0.7
538 Normal -0.7
477 Tumor -0.7
1043 Tumor -0.7
516 Normal -0.7
755 Tumor -0.7
916 Normal -0.7
518 Normal -0.7
958 Normal -0.7
474 Normal -0.7
917 Tumor -0.7
923 Tumor -0.7
817 Tumor -0.7
915 Tumor -0.7
913 Tumor -0.7
527 Tumor -0.7
131 Tumor -0.7
912 Normal -0.7
785 Tumor -0.7
918 Normal -0.7
211 Tumor -0.7
1025 Tumor -0.8
957 Tumor -0.8
535 Tumor -0.8
523 Tumor -0.8
524 Normal -0.8
483 Tumor -0.8
861 Tumor -0.8
514 Normal -0.8
498 Normal -0.8
493 Tumor -0.8
525 Tumor -0.8
951 Tumor -0.8
975 Tumor -0.9
484 Normal -0.9
911 Tumor -0.9
863 Tumor -0.9
545 Tumor -0.9
471 Tumor -0.9
943 Tumor -0.9
536 Normal -0.9
823 Tumor -0.9
921 Tumor -0.9
1013 Tumor -1.0
1041 Tumor -1.0
533 Tumor -1.0
491 Tumor -1.0
554 Normal -1.2
1045 Tumor -1.2
697 Tumor -1.2
553 Tumor -1.6
473 Tumor -1.9
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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The Human Protein Atlas project is funded
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