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RPLP2
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  • RPLP2
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.

RPLP2 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.

: 1900.5
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 2240.8
Number of samples 362
Samples
Sample Description pTPM
TCGA-FV-A4ZP-01A 78 years, male, white, stage:Stage IIIA, dead, 2486 days 11749.1
TCGA-CC-A7II-01A 54 years, male, asian, stage:Stage IIIA, alive, 399 days 11209.0
TCGA-BC-A69H-01A 64 years, male, white, stage:Stage II, alive, 444 days 11171.2
TCGA-CC-A123-01A 24 years, female, asian, stage:Stage IIIA, alive, 219 days 8440.5
TCGA-CC-A7IE-01A 57 years, male, asian, stage:Stage IIIA, dead, 217 days 7799.7
TCGA-DD-AACG-01A 52 years, male, asian, stage:Stage II, dead, 469 days 7142.1
TCGA-DD-AAE0-01A 45 years, female, asian, stage:Stage IIIA, alive, 555 days 6727.8
TCGA-DD-AAVU-01A 46 years, male, asian, stage:Stage II, alive, 2202 days 6519.7
TCGA-G3-AAV6-01A 53 years, female, white, stage:Stage IIIA, dead, 65 days 5953.8
TCGA-DD-AA3A-01A 81 years, female, white, stage:Stage I, dead, 410 days 5561.0
TCGA-DD-A39V-01A 77 years, male, white, stage:Stage II, dead, 643 days 5475.3
TCGA-G3-A25T-01A 45 years, female, white, stage:Stage IIIA, alive, 1553 days 5389.2
TCGA-DD-AADI-01A 43 years, female, asian, stage:Stage I, alive, 1085 days 5339.7
TCGA-DD-AADN-01A 59 years, male, asian, stage:Stage I, alive, 898 days 5300.6
TCGA-G3-A25S-01A 64 years, male, white, stage:Stage I, dead, 416 days 4987.6
TCGA-DD-A73G-01A 73 years, female, white, stage:Stage I, alive, 3478 days 4872.2
TCGA-DD-AACO-01A 40 years, male, asian, stage:Stage I, alive, 1876 days 4853.1
TCGA-EP-A2KA-01A 52 years, female, white, stage:Stage IIIA, dead, 627 days 4838.6
TCGA-DD-A4NN-01A 56 years, female, white, stage:Stage I, dead, 899 days 4702.9
TCGA-CC-A1HT-01A 50 years, male, asian, stage:Stage IIIA, dead, 101 days 4702.4
TCGA-CC-A7IG-01A 47 years, male, asian, stage:Stage II, dead, 299 days 4633.2
TCGA-G3-A25X-01A 73 years, male, asian, stage:Stage II, alive, 1779 days 4609.4
TCGA-CC-A3M9-01A 45 years, male, asian, stage:Stage IIIA, dead, 300 days 4515.7
TCGA-DD-A39Z-01A 43 years, female, stage:Stage II, dead, 601 days 4487.1
TCGA-FV-A3I0-01A 76 years, female, white, stage:Stage II, alive, 848 days 4433.6
TCGA-G3-AAUZ-01A 48 years, male, stage:Stage I, alive, 480 days 4421.2
TCGA-FV-A495-01A 51 years, female, white, stage:Stage II, alive, 1 days 4417.5
TCGA-WQ-A9G7-01A 71 years, female, white, stage:'--, alive, 30 days 4365.8
TCGA-DD-A3A7-01A 67 years, male, stage:Stage IIIB, dead, 419 days 4350.2
TCGA-CC-A8HU-01A 39 years, female, asian, stage:Stage IIIA, dead, 344 days 4339.1
TCGA-DD-AAED-01A 51 years, male, asian, stage:Stage I, alive, 763 days 4219.6
TCGA-ES-A2HS-01A 80 years, male, white, stage:Stage I, dead, 688 days 4132.8
TCGA-DD-AACL-01A 66 years, female, asian, stage:Stage I, dead, 107 days 4131.3
TCGA-ED-A5KG-01A 60 years, female, asian, stage:Stage II, alive, 854 days 4045.9
TCGA-2Y-A9GY-01A 64 years, female, white, stage:Stage II, dead, 757 days 4030.6
TCGA-G3-A7M9-01A 70 years, male, white, stage:Stage IIIB, dead, 56 days 3976.0
TCGA-CC-5260-01A 61 years, female, asian, stage:Stage IIIC, dead, 87 days 3965.5
TCGA-DD-AADO-01A 55 years, male, asian, stage:Stage I, alive, 453 days 3922.8
TCGA-DD-AAD5-01A 54 years, male, asian, stage:Stage I, alive, 1345 days 3859.5
TCGA-DD-A3A9-01A 64 years, female, white, stage:Stage IVB, dead, 931 days 3787.3
TCGA-DD-A39Y-01A 67 years, male, asian, stage:Stage I, dead, 171 days 3774.1
TCGA-DD-AACN-01A 32 years, male, asian, stage:Stage I, alive, 1302 days 3754.1
TCGA-DD-AAVQ-01A 38 years, male, asian, stage:Stage I, alive, 2728 days 3753.5
TCGA-CC-5259-01A 60 years, female, asian, stage:Stage IIIC, alive, 250 days 3736.8
TCGA-DD-A3A6-01A 72 years, female, white, stage:Stage II, dead, 3258 days 3728.5
TCGA-CC-A8HV-01A 51 years, female, asian, stage:Stage II, dead, 279 days 3708.3
TCGA-KR-A7K7-01A 61 years, female, white, stage:Stage II, alive, 951 days 3672.8
TCGA-CC-A8HS-01A 18 years, male, asian, stage:Stage IIIC, dead, 300 days 3639.1
TCGA-BC-A217-01A 75 years, female, white, stage:Stage II, dead, 1397 days 3626.1
TCGA-FV-A4ZQ-01A 52 years, male, white, stage:Stage I, alive, 12 days 3609.5
TCGA-DD-AAC8-01A 72 years, male, asian, stage:Stage I, dead, 16 days 3596.6
TCGA-XR-A8TF-01A 74 years, male, white, stage:Stage I, dead, 693 days 3594.3
TCGA-BW-A5NO-01A 50 years, male, black or african american, stage:Stage IIIA, alive, 20 days 3584.1
TCGA-DD-AACB-01A 74 years, female, asian, stage:Stage I, alive, 2324 days 3494.2
TCGA-RC-A6M6-01A 75 years, male, white, stage:Stage II, alive, 9 days 3486.1
TCGA-DD-AACU-01A 59 years, male, asian, stage:Stage I, alive, 1567 days 3480.3
TCGA-2Y-A9H1-01A 58 years, male, white, stage:Stage I, dead, 1229 days 3410.7
TCGA-ED-A8O5-01A 59 years, female, asian, stage:Stage IIIA, alive, 406 days 3371.3
TCGA-DD-AADS-01A 63 years, male, asian, stage:Stage I, alive, 474 days 3272.7
TCGA-G3-A7M6-01A 60 years, female, white, stage:Stage I, alive, 632 days 3257.0
TCGA-CC-A5UE-01A 48 years, male, asian, stage:Stage IIIB, dead, 272 days 3247.3
TCGA-DD-AADC-01A 53 years, male, asian, stage:Stage I, dead, 425 days 3187.2
TCGA-G3-A25Y-01A 52 years, female, asian, stage:Stage I, dead, 452 days 3184.0
TCGA-UB-A7ME-01A 51 years, male, asian, stage:Stage I, alive, 486 days 3179.2
TCGA-DD-AACP-01A 64 years, male, asian, stage:Stage I, alive, 415 days 3118.6
TCGA-CC-A7IJ-01A 56 years, male, asian, stage:Stage II, alive, 382 days 3021.1
TCGA-ED-A7PY-01A 20 years, female, asian, stage:Stage II, alive, 390 days 3011.5
TCGA-YA-A8S7-01A 68 years, male, white, stage:Stage IIIA, dead, 412 days 3004.0
TCGA-DD-AADB-01A 51 years, male, asian, stage:Stage I, alive, 1242 days 2998.4
TCGA-DD-AACA-01A 65 years, male, asian, stage:Stage I, alive, 2301 days 2965.0
TCGA-BC-A112-01A 80 years, male, white, stage:'--, dead, 153 days 2948.6
TCGA-KR-A7K8-01A 57 years, male, stage:Stage I, alive, 906 days 2946.8
TCGA-DD-AACC-01A 61 years, male, asian, stage:Stage I, dead, 1685 days 2940.6
TCGA-UB-A7MA-01A 62 years, female, white, stage:Stage II, alive, 848 days 2892.3
TCGA-CC-A5UD-01A 45 years, male, asian, stage:Stage IIIA, dead, 304 days 2886.6
TCGA-CC-5261-01A 44 years, male, asian, stage:Stage II, dead, 97 days 2864.2
TCGA-DD-A39X-01A 78 years, female, white, stage:Stage I, dead, 1694 days 2812.0
TCGA-CC-5263-01A 35 years, male, asian, stage:Stage IIIA, dead, 129 days 2808.9
TCGA-RC-A7SH-01A 42 years, male, asian, stage:Stage II, alive, 468 days 2808.3
TCGA-MI-A75C-01A 64 years, male, white, stage:Stage I, alive, 291 days 2770.1
TCGA-DD-AACF-01A 68 years, male, asian, stage:Stage I, dead, 365 days 2762.0
TCGA-G3-AAV5-01A 67 years, male, white, stage:Stage II, alive, 354 days 2760.5
TCGA-CC-5258-01A 48 years, male, asian, stage:Stage II, dead, 129 days 2742.2
TCGA-DD-AADV-01A 50 years, male, asian, stage:Stage I, alive, 574 days 2718.7
TCGA-2Y-A9GS-01A 58 years, male, white, stage:'--, dead, 724 days 2717.1
TCGA-CC-A9FW-01A 68 years, male, asian, stage:Stage IIIA, alive, 248 days 2701.2
TCGA-DD-A116-01A 68 years, male, asian, stage:Stage IIIA, dead, 1622 days 2682.3
TCGA-DD-A1EJ-01A 71 years, female, white, stage:Stage IIIC, dead, 1005 days 2656.8
TCGA-EP-A2KB-01A 46 years, female, white, stage:Stage I, dead, 596 days 2640.1
TCGA-CC-5264-01A 71 years, male, asian, stage:Stage IIIA, dead, 102 days 2633.2
TCGA-DD-AACQ-01A 50 years, male, asian, stage:Stage II, dead, 432 days 2631.6
TCGA-DD-AAVP-01A 48 years, male, asian, stage:Stage I, alive, 2752 days 2617.1
TCGA-DD-A114-01A 42 years, male, black or african american, stage:Stage II, dead, 1149 days 2616.4
TCGA-ED-A8O6-01A 50 years, female, asian, stage:Stage IIIA, dead, 56 days 2611.3
TCGA-WQ-AB4B-01A 62 years, male, white, stage:Stage II, alive, 395 days 2603.6
TCGA-DD-AACD-01A 48 years, male, asian, stage:Stage I, dead, 381 days 2595.7
TCGA-DD-A119-01A 40 years, male, asian, stage:Stage IV, dead, 223 days 2594.8
TCGA-DD-AAD1-01A 51 years, female, asian, stage:Stage I, alive, 564 days 2592.9
TCGA-DD-AADP-01A 45 years, male, asian, stage:Stage I, alive, 458 days 2585.8
TCGA-CC-5262-01A 67 years, male, asian, stage:Stage IIIC, dead, 103 days 2569.5
TCGA-BC-A5W4-01A 69 years, male, white, stage:Stage IIIA, dead, 547 days 2565.1
TCGA-MI-A75H-01A 77 years, male, white, stage:'--, alive, 747 days 2521.2
TCGA-DD-AAE4-01A 49 years, female, asian, stage:Stage I, alive, 608 days 2488.8
TCGA-G3-AAV4-01A 83 years, female, white, stage:Stage I, dead, 27 days 2483.6
TCGA-DD-AACI-01A 69 years, male, asian, stage:Stage II, alive, 1618 days 2457.3
TCGA-ED-A7XO-01A 29 years, male, asian, stage:Stage IIIA, alive, 427 days 2450.7
TCGA-ED-A82E-01A 60 years, female, asian, stage:Stage IIIA, alive, 408 days 2444.2
TCGA-K7-AAU7-01A 61 years, male, white, stage:Stage II, alive, 359 days 2434.9
TCGA-DD-A1EF-01A 57 years, female, white, stage:Stage I, dead, 394 days 2432.1
TCGA-BC-A8YO-01A 66 years, female, white, stage:Stage IIIC, alive, 562 days 2404.5
TCGA-DD-AAD0-01A 73 years, female, asian, stage:Stage I, alive, 137 days 2382.7
TCGA-DD-AADJ-01A 70 years, female, asian, stage:Stage I, alive, 1066 days 2374.3
TCGA-CC-A5UC-01A 63 years, male, asian, stage:Stage IIIA, dead, 347 days 2372.0
TCGA-2Y-A9H3-01A 45 years, male, white, stage:Stage II, alive, 1516 days 2365.2
TCGA-DD-A3A3-01A 45 years, male, asian, stage:Stage I, dead, 535 days 2354.8
TCGA-DD-AACJ-01A 75 years, male, asian, stage:Stage II, alive, 2102 days 2349.4
TCGA-ED-A7PZ-01A 61 years, male, asian, stage:Stage II, alive, 6 days 2343.6
TCGA-DD-AADD-01A 51 years, male, asian, stage:Stage I, alive, 1231 days 2319.6
TCGA-CC-A8HT-01A 74 years, male, asian, stage:Stage IIIA, dead, 140 days 2319.3
TCGA-DD-AACZ-01A 63 years, female, asian, stage:Stage I, dead, 171 days 2304.5
TCGA-2Y-A9H4-01A 68 years, male, black or african american, stage:Stage I, alive, 1452 days 2302.0
TCGA-RG-A7D4-01A 69 years, male, black or african american, stage:Stage II, alive, 1098 days 2298.1
TCGA-2Y-A9H2-01A 64 years, female, white, stage:Stage I, alive, 1731 days 2294.7
TCGA-BC-A10Y-01A 76 years, male, white, stage:'--, dead, 711 days 2288.4
TCGA-EP-A3RK-01A 73 years, male, white, stage:Stage IIIA, alive, 363 days 2259.4
TCGA-DD-AACW-01A 43 years, male, asian, stage:Stage I, alive, 1424 days 2252.0
TCGA-GJ-A3OU-01A 59 years, male, white, stage:Stage I, alive, 879 days 2249.2
TCGA-DD-AAVS-01A 56 years, male, asian, stage:Stage I, alive, 1823 days 2228.7
TCGA-ED-A7PX-01A 48 years, female, asian, stage:Stage II, alive, 6 days 2225.1
TCGA-DD-A3A5-01A 66 years, female, white, stage:Stage III, dead, 3125 days 2209.1
TCGA-5C-A9VH-01A 70 years, male, white, stage:Stage I, alive, 322 days 2207.5
TCGA-MI-A75G-01A 63 years, male, white, stage:Stage II, alive, 698 days 2190.2
TCGA-ED-A97K-01A 54 years, male, asian, stage:Stage IIIA, alive, 6 days 2180.0
TCGA-BC-A10Q-01A 72 years, female, white, stage:'--, dead, 1135 days 2179.8
TCGA-DD-A4NR-01A 85 years, female, white, stage:Stage I, dead, 9 days 2172.7
TCGA-DD-AACH-01A 69 years, male, asian, stage:Stage II, dead, 195 days 2171.4
TCGA-DD-AAD8-01A 73 years, female, asian, stage:Stage I, alive, 1219 days 2157.3
TCGA-DD-AADW-01A 48 years, male, asian, stage:Stage I, alive, 587 days 2152.8
TCGA-5C-A9VG-01A 58 years, male, white, stage:Stage II, alive, 328 days 2133.9
TCGA-KR-A7K2-01A 64 years, male, white, stage:Stage I, alive, 829 days 2130.8
TCGA-G3-A3CJ-01A 52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days 2125.6
TCGA-DD-AAEE-01A 55 years, male, asian, stage:Stage I, alive, 810 days 2119.7
TCGA-CC-A3MB-01A 36 years, male, asian, stage:Stage IIIA, dead, 315 days 2118.7
TCGA-ZP-A9D2-01A 51 years, male, white, stage:'--, dead, 765 days 2115.1
TCGA-ED-A66X-01A 35 years, male, asian, stage:Stage IIIA, alive, 406 days 2112.0
TCGA-DD-AAEA-01A 65 years, male, asian, stage:Stage I, alive, 575 days 2107.5
TCGA-2Y-A9HA-01A 70 years, male, white, stage:Stage II, dead, 36 days 2065.6
TCGA-DD-AADM-01A 58 years, male, asian, stage:Stage II, dead, 12 days 2062.3
TCGA-DD-AACV-01A 53 years, male, asian, stage:Stage I, alive, 1531 days 2050.8
TCGA-UB-A7MF-01A 56 years, male, white, stage:Stage IIIA, dead, 214 days 2046.7
TCGA-2Y-A9H5-01A 59 years, female, white, stage:Stage I, dead, 555 days 2045.5
TCGA-5C-AAPD-01A 61 years, male, asian, stage:Stage II, alive, 20 days 2042.0
TCGA-DD-A1EI-01A 46 years, male, asian, stage:Stage I, alive, 183 days 2038.2
TCGA-DD-A1EL-01A 23 years, male, black or african american, stage:Stage II, dead, 415 days 2026.5
TCGA-BD-A3EP-01A 75 years, female, black or african american, stage:Stage I, alive, 409 days 2018.6
TCGA-DD-AAE1-01A 52 years, male, asian, stage:Stage I, alive, 552 days 2005.8
TCGA-ED-A66Y-01A 51 years, female, asian, stage:Stage IIIA, dead, 296 days 1994.9
TCGA-WX-AA44-01A 64 years, female, white, stage:Stage I, alive, 615 days 1992.1
TCGA-2Y-A9H7-01A 81 years, female, white, stage:Stage I, alive, 1168 days 1985.4
TCGA-ES-A2HT-01A 54 years, male, black or african american, stage:Stage I, dead, 438 days 1985.1
TCGA-DD-A1EH-01A 23 years, male, white, stage:Stage III, alive, 1495 days 1979.0
TCGA-DD-AAVV-01A 56 years, male, asian, stage:Stage II, alive, 2455 days 1975.8
TCGA-HP-A5N0-01A 90 years, female, stage:'--, dead, 752 days 1970.9
TCGA-DD-A4NS-01A 61 years, female, white, stage:Stage I, dead, 2456 days 1956.6
TCGA-DD-A3A1-01A 65 years, male, stage:Stage IIIA, dead, 233 days 1953.8
TCGA-PD-A5DF-01A 58 years, female, white, stage:Stage IIIB, dead, 639 days 1948.0
TCGA-DD-AAEB-01A 60 years, male, asian, stage:Stage I, alive, 478 days 1944.2
TCGA-DD-AAE6-01A 59 years, female, asian, stage:Stage I, alive, 141 days 1926.8
TCGA-CC-A3MA-01A 61 years, male, asian, stage:Stage IIIA, dead, 303 days 1906.9
TCGA-DD-AAEI-01A 72 years, male, asian, stage:Stage I, alive, 1531 days 1894.2
TCGA-DD-A115-01A 53 years, male, white, stage:Stage IIIA, dead, 2542 days 1893.4
TCGA-3K-AAZ8-01A 65 years, male, black or african american, stage:Stage IIIB, alive, 396 days 1891.8
TCGA-DD-A1EG-01A 76 years, male, white, stage:Stage I, dead, 1372 days 1887.4
TCGA-DD-AACY-01A 61 years, male, asian, stage:Stage I, alive, 1450 days 1880.2
TCGA-DD-A4NA-01A 67 years, female, white, stage:Stage IIIC, alive, 1008 days 1879.4
TCGA-DD-AADF-01A 64 years, female, asian, stage:Stage I, dead, 115 days 1873.7
TCGA-DD-AACK-01A 70 years, male, asian, stage:Stage I, alive, 9 days 1873.6
TCGA-G3-A25V-01A 68 years, male, white, stage:Stage I, alive, 860 days 1873.6
TCGA-G3-AAV2-01A 50 years, male, white, stage:Stage I, alive, 372 days 1811.2
TCGA-DD-AAVR-01A 44 years, male, asian, stage:Stage I, alive, 2513 days 1807.5
TCGA-DD-AAVZ-01A 38 years, male, asian, stage:Stage I, alive, 1900 days 1806.4
TCGA-MI-A75E-01A 61 years, male, white, stage:Stage IIIC, alive, 507 days 1785.0
TCGA-BC-A3KG-01A 68 years, female, white, stage:Stage II, alive, 680 days 1783.9
TCGA-CC-A7IK-01A 59 years, male, asian, stage:Stage IIIA, dead, 262 days 1778.7
TCGA-ED-A459-01A 47 years, male, asian, stage:Stage II, alive, 910 days 1775.7
TCGA-RC-A7S9-01A 47 years, female, asian, stage:Stage I, alive, 640 days 1773.5
TCGA-DD-AADA-01A 66 years, female, asian, stage:Stage I, alive, 1233 days 1766.5
TCGA-MI-A75I-01A 61 years, male, black or african american, stage:'--, alive, 630 days 1761.9
TCGA-FV-A3R2-01A 75 years, male, white, stage:Stage I, dead, 194 days 1744.9
TCGA-DD-AACS-01A 39 years, male, asian, stage:Stage I, alive, 1804 days 1743.5
TCGA-EP-A26S-01A 70 years, male, white, stage:Stage I, alive, 608 days 1741.6
TCGA-DD-AADY-01A 55 years, female, asian, stage:Stage I, alive, 555 days 1740.4
TCGA-ED-A627-01A 74 years, male, white, stage:Stage I, alive, 423 days 1737.6
TCGA-4R-AA8I-01A 66 years, male, white, stage:Stage II, dead, 262 days 1734.7
TCGA-DD-A4ND-01A 56 years, female, white, stage:Stage I, alive, 2746 days 1731.7
TCGA-WX-AA47-01A 33 years, female, white, stage:Stage IIIA, dead, 556 days 1727.2
TCGA-XR-A8TD-01A 49 years, female, white, stage:Stage IIIB, alive, 1030 days 1725.2
TCGA-DD-AAW3-01A 69 years, male, asian, stage:Stage I, alive, 1633 days 1724.8
TCGA-BC-A10S-01A 81 years, male, white, stage:'--, dead, 1423 days 1715.1
TCGA-G3-AAV0-01A 58 years, male, asian, stage:Stage I, alive, 476 days 1705.4
TCGA-DD-A73E-01A 66 years, male, white, stage:Stage I, alive, 44 days 1701.8
TCGA-FV-A3I1-01A 81 years, female, white, stage:Stage II, dead, 247 days 1701.4
TCGA-XR-A8TC-01A 43 years, female, white, stage:Stage I, alive, 1339 days 1700.3
TCGA-UB-A7MD-01A 67 years, male, black or african american, stage:Stage I, dead, 52 days 1688.9
TCGA-ZS-A9CG-01A 55 years, male, white, stage:Stage II, alive, 341 days 1681.5
TCGA-DD-A1EC-01A 20 years, female, white, stage:Stage I, alive, 602 days 1677.8
TCGA-DD-AAW2-01A 69 years, male, asian, stage:Stage I, alive, 1855 days 1673.8
TCGA-ZS-A9CD-01A 73 years, male, white, stage:Stage II, dead, 1386 days 1662.1
TCGA-G3-A7M5-01A 76 years, male, asian, stage:Stage I, alive, 447 days 1659.6
TCGA-FV-A23B-01A 70 years, female, white, stage:Stage II, dead, 1852 days 1648.6
TCGA-BD-A2L6-01A 69 years, male, white, stage:'--, alive, 1363 days 1635.5
TCGA-BC-A69I-01A 69 years, male, white, stage:Stage I, alive, 387 days 1635.3
TCGA-DD-AAD3-01A 43 years, male, asian, stage:Stage I, alive, 1295 days 1628.5
TCGA-DD-AAEH-01A 73 years, male, asian, stage:Stage I, alive, 784 days 1625.3
TCGA-FV-A2QQ-01A 80 years, male, white, stage:Stage I, alive, 729 days 1624.0
TCGA-ZS-A9CE-01A 79 years, female, white, stage:Stage II, alive, 1241 days 1613.2
TCGA-XR-A8TE-01A 16 years, male, white, stage:Stage IIIA, alive, 925 days 1597.0
TCGA-KR-A7K0-01A 65 years, male, white, stage:Stage I, dead, 65 days 1594.4
TCGA-DD-A4NE-01A 75 years, female, white, stage:Stage IIIA, dead, 660 days 1585.0
TCGA-DD-AADQ-01A 59 years, male, asian, stage:Stage II, alive, 436 days 1581.5
TCGA-DD-AACX-01A 66 years, male, asian, stage:Stage II, alive, 170 days 1578.8
TCGA-BC-A110-01A 51 years, female, black or african american, stage:'--, dead, 2116 days 1578.4
TCGA-G3-A25Z-01A 58 years, male, asian, stage:Stage I, alive, 655 days 1578.3
TCGA-O8-A75V-01A 54 years, male, stage:Stage I, alive, 538 days 1554.3
TCGA-G3-AAV7-01A 38 years, male, asian, stage:Stage II, alive, 361 days 1547.0
TCGA-K7-A6G5-01A 66 years, male, white, stage:Stage I, alive, 512 days 1535.7
TCGA-MR-A8JO-01A 34 years, male, white, stage:Stage I, alive, 330 days 1525.7
TCGA-ZS-A9CF-01A 64 years, male, white, stage:Stage II, alive, 2412 days 1523.2
TCGA-G3-A5SI-01A 44 years, male, asian, stage:Stage II, dead, 768 days 1522.0
TCGA-DD-AAE9-01A 69 years, male, asian, stage:Stage I, alive, 722 days 1510.6
TCGA-DD-AAVY-01A 56 years, male, asian, stage:Stage IIIA, alive, 1970 days 1509.9
TCGA-EP-A2KC-01A 62 years, male, black or african american, stage:Stage I, dead, 19 days 1508.3
TCGA-ZP-A9CZ-01A 72 years, male, asian, stage:'--, alive, 706 days 1505.5
TCGA-DD-AAD2-01A 66 years, male, asian, stage:Stage I, alive, 658 days 1503.9
TCGA-DD-A4NV-01A 61 years, male, white, stage:Stage IIIA, alive, 2398 days 1498.8
TCGA-RC-A7SK-01A 59 years, male, asian, stage:Stage I, alive, 472 days 1493.4
TCGA-DD-A4NJ-01A 54 years, female, white, stage:Stage II, alive, 928 days 1489.9
TCGA-DD-AAVW-01A 35 years, male, asian, stage:Stage I, alive, 2317 days 1488.8
TCGA-LG-A6GG-01A 79 years, female, white, stage:Stage II, alive, 387 days 1478.9
TCGA-G3-A3CH-01A 53 years, male, asian, stage:Stage IIIA, alive, 780 days 1476.0
TCGA-G3-A5SJ-01A 59 years, male, white, stage:Stage I, alive, 698 days 1473.1
TCGA-T1-A6J8-01A 68 years, male, white, stage:'--, alive, 23 days 1471.7
TCGA-DD-A73D-01A 68 years, female, white, stage:Stage II, alive, 693 days 1462.0
TCGA-DD-AAVX-01A 38 years, male, asian, stage:Stage II, alive, 1718 days 1448.8
TCGA-RC-A7SF-01A 66 years, male, asian, stage:Stage I, alive, 579 days 1445.5
TCGA-BC-A10T-01A 76 years, male, white, stage:'--, dead, 837 days 1441.0
TCGA-BC-A216-01A 62 years, female, white, stage:Stage IIIA, alive, 1351 days 1439.0
TCGA-DD-AAW0-01A 54 years, male, asian, stage:Stage I, alive, 2015 days 1436.5
TCGA-2Y-A9H9-01A 70 years, male, white, stage:Stage I, alive, 697 days 1435.0
TCGA-G3-A7M7-01A 65 years, male, white, stage:Stage I, alive, 361 days 1434.1
TCGA-GJ-A9DB-01A 68 years, male, white, stage:Stage I, dead, 67 days 1430.0
TCGA-2Y-A9GZ-01A 82 years, female, white, stage:Stage II, dead, 848 days 1429.5
TCGA-EP-A3JL-01A 76 years, male, white, stage:Stage I, alive, 303 days 1427.2
TCGA-DD-A4NO-01A 65 years, male, white, stage:Stage I, alive, 2245 days 1418.0
TCGA-G3-A3CG-01A 80 years, male, white, stage:Stage I, alive, 673 days 1416.1
TCGA-BC-A3KF-01A 66 years, female, white, stage:Stage I, alive, 8 days 1412.6
TCGA-ZP-A9D1-01A 56 years, female, white, stage:'--, alive, 21 days 1408.9
TCGA-QA-A7B7-01A 48 years, male, black or african american, stage:Stage II, alive, 94 days 1407.1
TCGA-G3-A5SM-01A 58 years, male, white, stage:Stage II, alive, 520 days 1400.4
TCGA-DD-A4NH-01A 65 years, female, white, stage:Stage IIIB, alive, 917 days 1390.4
TCGA-ZP-A9D4-01A 64 years, female, white, stage:'--, alive, 395 days 1389.3
TCGA-DD-AAE3-01A 50 years, male, asian, stage:Stage I, alive, 566 days 1389.0
TCGA-G3-A25U-01A 63 years, female, asian, stage:Stage I, alive, 1636 days 1379.3
TCGA-DD-A11C-01A 69 years, male, white, stage:Stage I, alive, 662 days 1363.3
TCGA-DD-AADK-01A 68 years, female, asian, stage:Stage II, alive, 1049 days 1351.1
TCGA-DD-A118-01A 77 years, female, white, stage:Stage II, alive, 3437 days 1348.9
TCGA-2Y-A9H8-01A 85 years, female, white, stage:'--, dead, 633 days 1347.3
TCGA-G3-A3CK-01A 61 years, male, asian, stage:Stage I, alive, 585 days 1346.1
TCGA-BC-A10U-01A 69 years, male, white, stage:'--, dead, 837 days 1342.0
TCGA-DD-AADR-01A 58 years, male, asian, stage:Stage I, alive, 2028 days 1330.4
TCGA-DD-AADL-01A 58 years, male, asian, stage:Stage I, alive, 636 days 1319.6
TCGA-G3-AAV3-01A 58 years, female, white, stage:Stage II, alive, 412 days 1303.5
TCGA-UB-A7MB-01A 24 years, male, white, stage:Stage II, alive, 601 days 1300.6
TCGA-2Y-A9GX-01A 68 years, male, white, stage:Stage I, alive, 2442 days 1297.2
TCGA-5R-AAAM-01A 65 years, female, white, stage:Stage II, dead, 46 days 1295.4
TCGA-DD-A39W-01A 29 years, female, white, stage:Stage III, dead, 827 days 1293.4
TCGA-ED-A7XP-01A 53 years, female, asian, stage:Stage II, alive, 400 days 1287.1
TCGA-5R-AA1D-01A 17 years, female, white, stage:Stage IIIA, alive, 449 days 1282.8
TCGA-2Y-A9GW-01A 64 years, male, white, stage:Stage I, dead, 1271 days 1273.1
TCGA-LG-A9QC-01A 48 years, male, white, stage:Stage I, alive, 425 days 1269.1
TCGA-DD-AADG-01A 70 years, male, asian, stage:Stage IIIA, alive, 1145 days 1268.6
TCGA-DD-A4NQ-01A 60 years, male, white, stage:Stage II, dead, 373 days 1266.9
TCGA-G3-A6UC-01A 65 years, male, white, stage:Stage IIIB, alive, 671 days 1266.0
TCGA-BC-A10W-01A 50 years, male, asian, stage:'--, dead, 91 days 1258.2
TCGA-RC-A6M5-01A 20 years, female, white, stage:Stage IVA, alive, 15 days 1254.4
TCGA-FV-A3R3-01A 38 years, female, white, stage:Stage I, dead, 366 days 1237.6
TCGA-CC-A7IL-01A 61 years, male, asian, stage:Stage IIIA, dead, 278 days 1237.1
TCGA-WX-AA46-01A 61 years, male, white, stage:Stage II, alive, 756 days 1236.4
TCGA-DD-AACE-01A 62 years, male, asian, stage:Stage I, alive, 2184 days 1236.3
TCGA-DD-A11D-01A 57 years, female, white, stage:Stage I, dead, 1560 days 1229.7
TCGA-2Y-A9HB-01A 66 years, male, stage:Stage I, alive, 260 days 1228.7
TCGA-DD-AAE2-01A 51 years, male, asian, stage:Stage I, alive, 638 days 1228.6
TCGA-CC-A7IH-01A 58 years, male, asian, stage:Stage IIIA, alive, 365 days 1218.6
TCGA-UB-A7MC-01A 59 years, male, white, stage:Stage IIIA, alive, 500 days 1208.6
TCGA-DD-A1EA-01A 68 years, male, asian, stage:Stage II, alive, 2415 days 1205.6
TCGA-DD-AAEK-01A 51 years, male, asian, stage:Stage II, alive, 1067 days 1200.7
TCGA-UB-AA0U-01A 60 years, male, white, stage:Stage II, alive, 327 days 1196.5
TCGA-FV-A496-01A 84 years, female, white, stage:Stage I, alive, 10 days 1193.5
TCGA-K7-A5RG-01A 66 years, male, black or african american, stage:Stage I, alive, 519 days 1190.5
TCGA-CC-A3MC-01A 54 years, male, asian, stage:Stage IIIA, alive, 363 days 1178.7
TCGA-2Y-A9H0-01A 49 years, male, white, stage:Stage IIIA, alive, 3675 days 1174.2
TCGA-2Y-A9H6-01A 68 years, female, white, stage:Stage I, alive, 357 days 1168.6
TCGA-DD-A4NB-01A 25 years, male, white, stage:Stage I, alive, 989 days 1168.2
TCGA-XR-A8TG-01A 58 years, male, white, stage:Stage I, alive, 898 days 1166.7
TCGA-EP-A12J-01A 62 years, male, black or african american, stage:Stage I, alive, 570 days 1164.9
TCGA-BC-A10R-01A 66 years, female, white, stage:'--, dead, 308 days 1155.8
TCGA-DD-A3A8-01A 75 years, male, white, stage:Stage II, dead, 11 days 1151.7
TCGA-G3-AAV1-01A 51 years, male, asian, stage:Stage IIIC, dead, 359 days 1148.9
TCGA-CC-A9FS-01A 55 years, male, asian, stage:Stage II, alive, 211 days 1147.3
TCGA-DD-AAD6-01A 66 years, male, asian, stage:Stage IIIA, alive, 672 days 1137.1
TCGA-WJ-A86L-01A 68 years, female, white, stage:Stage I, alive, 345 days 1130.0
TCGA-HP-A5MZ-01A 78 years, male, stage:Stage I, dead, 91 days 1128.5
TCGA-DD-AAC9-01A 51 years, male, asian, stage:Stage I, alive, 347 days 1127.6
TCGA-DD-A1EE-01A 73 years, male, white, stage:Stage IIIA, dead, 349 days 1126.8
TCGA-FV-A2QR-01A 75 years, male, white, stage:Stage I, dead, 581 days 1125.0
TCGA-DD-A4NP-01A 32 years, male, white, stage:Stage I, alive, 3308 days 1123.7
TCGA-DD-A11B-01A 73 years, male, white, stage:Stage I, dead, 14 days 1106.7
TCGA-DD-AAW1-01A 55 years, male, asian, stage:Stage IIIA, alive, 1989 days 1090.8
TCGA-ED-A4XI-01A 58 years, male, asian, stage:Stage II, alive, 819 days 1088.6
TCGA-RC-A6M4-01A 74 years, female, white, stage:Stage IIIA, alive, 22 days 1082.2
TCGA-DD-AADU-01A 60 years, male, asian, stage:Stage II, alive, 554 days 1081.8
TCGA-ZP-A9D0-01A 67 years, female, black or african american, stage:'--, alive, 1091 days 1068.6
TCGA-DD-A3A4-01A 37 years, male, white, stage:Stage IIIA, dead, 612 days 1067.5
TCGA-LG-A9QD-01A 68 years, male, white, stage:Stage IIIA, alive, 366 days 1056.6
TCGA-DD-A73A-01A 71 years, male, white, stage:Stage I, alive, 728 days 1052.8
TCGA-DD-AAEG-01A 59 years, female, asian, stage:Stage I, alive, 719 days 1023.1
TCGA-K7-A5RF-01A 64 years, male, white, stage:Stage I, alive, 631 days 1022.7
TCGA-NI-A4U2-01A 71 years, male, white, stage:Stage IIIA, dead, 1791 days 1022.0
TCGA-DD-AACT-01A 69 years, female, asian, stage:Stage I, alive, 1562 days 1015.8
TCGA-BC-A10Z-01A 62 years, female, white, stage:Stage I, dead, 34 days 1011.0
TCGA-BC-A10X-01A 52 years, female, white, stage:Stage IIIA, dead, 770 days 1009.3
TCGA-DD-A73F-01A 77 years, female, white, stage:Stage I, alive, 1085 days 999.6
TCGA-ZP-A9CV-01A 59 years, male, white, stage:'--, dead, 1088 days 993.1
TCGA-DD-A1EB-01A 72 years, female, stage:Stage I, alive, 2017 days 991.0
TCGA-UB-AA0V-01A 69 years, female, white, stage:Stage I, alive, 314 days 976.9
TCGA-DD-AAE7-01A 72 years, male, asian, stage:Stage I, alive, 644 days 969.9
TCGA-NI-A8LF-01A 74 years, male, white, stage:Stage I, alive, 799 days 955.1
TCGA-2Y-A9GV-01A 54 years, female, white, stage:Stage I, dead, 2532 days 952.1
TCGA-5R-AA1C-01A 57 years, male, white, stage:Stage II, alive, 520 days 932.4
TCGA-2Y-A9GT-01A 51 years, male, white, stage:Stage I, dead, 1624 days 924.1
TCGA-ZP-A9CY-01A 66 years, female, white, stage:'--, alive, 782 days 912.9
TCGA-G3-A3CI-01A 71 years, male, white, stage:Stage I, alive, 180 days 887.1
TCGA-RC-A7SB-01A 53 years, male, asian, stage:Stage II, alive, 588 days 870.7
TCGA-DD-A1EK-01A 64 years, female, white, stage:Stage IVB, dead, 558 days 864.1
TCGA-DD-A1ED-01A 68 years, male, white, stage:Stage I, alive, 2301 days 853.6
TCGA-BD-A3ER-01A 62 years, male, white, stage:Stage II, alive, 1115 days 840.3
TCGA-DD-A73C-01A 65 years, female, white, stage:Stage IIIA, alive, 701 days 837.8
TCGA-G3-A5SL-01A 70 years, male, white, stage:Stage II, alive, 621 days 823.7
TCGA-DD-A4NG-01A 77 years, male, white, stage:Stage IIIA, dead, 802 days 807.3
TCGA-DD-A3A2-01A 76 years, female, white, stage:Stage I, dead, 2131 days 795.7
TCGA-DD-A4NF-01A 72 years, male, white, stage:Stage I, alive, 942 days 781.9
TCGA-DD-A73B-01A 72 years, female, white, stage:Stage I, dead, 283 days 774.3
TCGA-DD-A4NK-01A 80 years, female, white, stage:Stage IIIA, dead, 1210 days 765.1
TCGA-MR-A520-01A 58 years, male, white, stage:Stage I, alive, 229 days 753.6
TCGA-DD-A4NL-01A 46 years, male, white, stage:Stage I, alive, 1711 days 724.9
TCGA-2Y-A9GU-01A 55 years, female, white, stage:Stage I, alive, 1939 days 705.1
TCGA-CC-A7IF-01A 59 years, male, asian, stage:Stage IIIA, dead, 649 days 703.5
TCGA-G3-A5SK-01A 58 years, male, white, stage:Stage I, alive, 744 days 700.3
TCGA-DD-A4NI-01A 67 years, male, white, stage:Stage II, alive, 816 days 698.2
TCGA-DD-A113-01A 55 years, female, white, stage:Stage II, alive, 2425 days 686.3
TCGA-GJ-A6C0-01A 75 years, female, white, stage:Stage II, dead, 31 days 685.6
TCGA-G3-A7M8-01A 31 years, male, asian, stage:Stage I, alive, 430 days 664.2
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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.

RPLP2 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.

: 1481.86
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 1569.1
Number of samples 231
Samples
Sample Description pTPM
DO45285 59 years, male, NA, stage:3, alive, 480 days 8832.1
DO50814 83 years, male, NA, stage:3, alive, 420 days 5438.1
DO48747 62 years, male, NA, stage:3, alive, 540 days 4774.9
DO48737 52 years, male, NA, stage:1, alive, 720 days 4592.8
DO45217 69 years, female, NA, stage:3, dead, 270 days 4146.5
DO45307 54 years, female, NA, stage:4, dead, 240 days 4059.5
DO45289 78 years, female, NA, stage:3, alive, 360 days 3893.7
DO23519 65 years, male, NA, stage:3, alive, 630 days 3751.2
DO45283 60 years, male, NA, stage:3, alive, 510 days 3713.8
DO23515 71 years, male, NA, stage:2, alive, 1230 days 3656.0
DO50815 62 years, male, NA, stage:3, alive, 150 days 3416.5
DO50839 47 years, female, NA, stage:3, alive, 330 days 3398.0
DO45303 62 years, female, NA, stage:3, alive, 990 days 3274.1
DO23526 66 years, male, NA, stage:3, alive, 1050 days 3252.8
DO45145 78 years, male, NA, stage:3, dead, 60 days 3210.5
DO45093 71 years, male, NA, stage:2, dead, 720 days 3185.6
DO23508 79 years, female, NA, stage:2, alive, 390 days 3111.1
DO45299 70 years, female, NA, stage:1, alive, 1440 days 3109.7
DO50785 37 years, male, NA, stage:4, dead, 90 days 3101.1
DO45251 57 years, female, NA, stage:2, alive, 900 days 3066.9
DO45189 85 years, female, NA, stage:2, alive, 1200 days 3062.7
DO45297 61 years, female, NA, stage:4, dead, 1260 days 3033.8
DO50806 70 years, male, NA, stage:4, alive, 540 days 2875.1
DO48697 64 years, female, NA, stage:2, dead, 810 days 2863.7
DO23530 53 years, male, NA, stage:4, dead, 180 days 2832.2
DO45211 76 years, male, NA, stage:3, alive, 240 days 2810.7
DO45305 66 years, male, NA, stage:4, alive, 300 days 2809.6
DO45287 74 years, male, NA, stage:1, alive, 390 days 2734.5
DO45161 74 years, male, NA, stage:2, dead, 540 days 2703.8
DO45259 65 years, male, NA, stage:3, alive, 330 days 2647.2
DO50799 66 years, female, NA, stage:2, alive, 540 days 2610.0
DO23523 52 years, male, NA, stage:3, alive, 1080 days 2575.1
DO23545 67 years, male, NA, stage:2, dead, 570 days 2539.9
DO45185 89 years, male, NA, stage:2, alive, 600 days 2493.5
DO45249 57 years, male, NA, stage:1, alive, 630 days 2472.4
DO48741 64 years, male, NA, stage:3, alive, 240 days 2468.0
DO45277 64 years, male, NA, stage:3, alive, 600 days 2459.9
DO50855 47 years, male, NA, stage:2, alive, 570 days 2456.2
DO45219 78 years, male, NA, stage:2, alive, 1080 days 2455.1
DO45095 66 years, male, NA, stage:2, alive, 1620 days 2419.6
DO23516 69 years, male, NA, stage:3, dead, 20 days 2413.2
DO48732 73 years, male, NA, stage:3, alive, 630 days 2367.1
DO45273 62 years, male, NA, stage:2, alive, 480 days 2343.1
DO48715 58 years, female, NA, stage:2, dead, 690 days 2314.5
DO48682 72 years, female, NA, stage:3, dead, 120 days 2268.0
DO45279 67 years, male, NA, stage:3, alive, 1290 days 2175.1
DO45269 59 years, male, NA, stage:3, alive, 750 days 2170.9
DO48730 73 years, female, NA, stage:2, alive, 630 days 2127.5
DO50791 79 years, female, NA, stage:1, dead, 480 days 2052.0
DO45245 75 years, female, NA, stage:2, dead, 240 days 2023.8
DO23547 74 years, male, NA, stage:1, alive, 1020 days 2018.5
DO48720 62 years, female, NA, stage:2, alive, 570 days 1949.8
DO45193 68 years, female, NA, stage:4, dead, 120 days 1945.4
DO23525 71 years, male, NA, stage:4, alive, 1050 days 1944.7
DO45243 74 years, female, NA, stage:3, alive, 930 days 1935.1
DO45103 47 years, male, NA, stage:3, alive, 450 days 1927.3
DO50829 78 years, male, NA, stage:3, alive, 570 days 1883.0
DO45205 67 years, female, NA, stage:2, dead, 90 days 1869.0
DO45281 83 years, male, NA, stage:4, alive, 750 days 1866.6
DO45097 69 years, male, NA, stage:3, alive, 1620 days 1857.5
DO48736 76 years, female, NA, stage:1, alive, 600 days 1854.0
DO45139 63 years, male, NA, stage:3, alive, 1320 days 1853.7
DO45241 49 years, male, NA, stage:1, alive, 1080 days 1768.8
DO45239 42 years, male, NA, stage:2, alive, 870 days 1737.7
DO50811 62 years, male, NA, stage:1, alive, 450 days 1735.6
DO45209 70 years, male, NA, stage:4, alive, 1350 days 1732.3
DO45141 73 years, male, NA, stage:2, alive, 1320 days 1729.4
DO50820 77 years, female, NA, stage:3, alive, 510 days 1716.1
DO48712 50 years, male, NA, stage:2, alive, 810 days 1690.7
DO45221 75 years, female, NA, stage:4, dead, 390 days 1684.2
DO50809 56 years, male, NA, stage:3, dead, 720 days 1668.3
DO50808 68 years, male, NA, stage:2, alive, 570 days 1664.4
DO45275 65 years, male, NA, stage:3, dead, 10 days 1664.2
DO48723 73 years, male, NA, stage:1, alive, 600 days 1651.6
DO48757 68 years, female, NA, stage:3, alive, 480 days 1648.6
DO23536 56 years, male, NA, stage:2, alive, 930 days 1635.9
DO23549 74 years, male, NA, stage:3, alive, 990 days 1613.1
DO45173 63 years, male, NA, stage:3, alive, 1170 days 1607.7
DO45165 75 years, male, NA, stage:2, alive, 690 days 1604.9
DO45131 53 years, male, NA, stage:4, dead, 360 days 1602.0
DO45213 58 years, male, NA, stage:1, alive, 1200 days 1579.2
DO48751 68 years, male, NA, stage:2, dead, 480 days 1552.5
DO45301 56 years, male, NA, stage:2, dead, 1440 days 1544.2
DO23533 61 years, male, NA, stage:2, alive, 900 days 1526.5
DO50778 60 years, male, NA, stage:4, alive, 630 days 1517.5
DO45092 62 years, male, NA, stage:4, dead, 1200 days 1514.2
DO45127 73 years, male, NA, stage:3, dead, 420 days 1482.9
DO50819 72 years, female, NA, stage:2, alive, 510 days 1480.8
DO45187 32 years, female, NA, stage:1, alive, 1260 days 1476.8
DO50805 72 years, male, NA, stage:2, alive, 690 days 1458.6
DO23540 73 years, male, NA, stage:1, alive, 750 days 1452.6
DO23539 77 years, male, NA, stage:1, alive, 1110 days 1446.4
DO45231 84 years, male, NA, stage:2, alive, 930 days 1430.6
DO45179 78 years, female, NA, stage:2, alive, 600 days 1413.8
DO50783 62 years, male, NA, stage:3, alive, 480 days 1413.7
DO50800 74 years, male, NA, stage:2, alive, 510 days 1410.5
DO45183 72 years, female, NA, stage:2, dead, 570 days 1391.5
DO45157 62 years, male, NA, stage:2, alive, 1980 days 1390.0
DO48725 66 years, male, NA, stage:1, alive, 780 days 1389.3
DO45155 69 years, male, NA, stage:2, alive, 2160 days 1382.3
DO45135 77 years, male, NA, stage:1, alive, 1410 days 1370.9
DO45267 73 years, male, NA, stage:3, dead, 570 days 1369.4
DO50813 56 years, male, NA, stage:2, alive, 420 days 1368.0
DO45265 73 years, male, NA, stage:3, alive, 1020 days 1367.1
DO23511 83 years, female, NA, stage:3, dead, 180 days 1329.8
DO50832 73 years, male, NA, stage:3, alive, 90 days 1321.4
DO45125 58 years, male, NA, stage:3, alive, 1680 days 1314.1
DO45143 69 years, male, NA, stage:3, alive, 1290 days 1313.4
DO45109 63 years, male, NA, stage:2, alive, 1590 days 1310.7
DO23510 80 years, female, NA, stage:2, alive, 870 days 1308.0
DO48672 81 years, male, NA, stage:2, alive, 450 days 1307.2
DO50802 49 years, male, NA, stage:2, alive, 930 days 1299.7
DO23521 63 years, male, NA, stage:3, alive, 1110 days 1296.3
DO45207 68 years, male, NA, stage:1, alive, 1050 days 1295.1
DO45191 61 years, female, NA, stage:2, alive, 1200 days 1288.4
DO23546 63 years, male, NA, stage:2, alive, 1050 days 1287.8
DO48759 73 years, male, NA, stage:3, alive, 720 days 1275.0
DO45225 69 years, male, NA, stage:1, alive, 1050 days 1269.9
DO48679 72 years, male, NA, stage:2, alive, 1200 days 1262.8
DO23528 45 years, female, NA, stage:2, alive, 1020 days 1258.2
DO227643 79 years, male, NA, stage:2, alive, 1260 days 1247.4
DO50793 76 years, male, NA, stage:4, alive, 540 days 1245.7
DO48717 54 years, male, NA, stage:4, dead, 180 days 1235.9
DO50825 70 years, male, NA, stage:2, alive, 390 days 1219.3
DO45203 71 years, female, NA, stage:2, alive, 1170 days 1219.2
DO45121 61 years, male, NA, stage:3, alive, 1530 days 1208.6
DO50840 49 years, male, NA, stage:2, alive, 330 days 1184.5
DO45199 86 years, female, NA, stage:2, alive, 1350 days 1182.6
DO48693 71 years, male, NA, stage:2, alive, 900 days 1181.9
DO45261 74 years, male, NA, stage:3, alive, 990 days 1171.2
DO45115 81 years, male, NA, stage:2, alive, 840 days 1167.1
DO50850 74 years, male, NA, stage:3, alive, 720 days 1161.2
DO45247 31 years, female, NA, stage:2, alive, 210 days 1158.7
DO45253 50 years, male, NA, stage:2, alive, 870 days 1151.3
DO23543 63 years, male, NA, stage:2, alive, 1020 days 1149.2
DO50804 81 years, male, NA, stage:2, alive, 720 days 1125.1
DO50776 75 years, male, NA, stage:1, alive, 690 days 1124.5
DO48727 81 years, female, NA, stage:2, dead, 390 days 1121.1
DO45137 38 years, male, NA, stage:1, alive, 1320 days 1101.4
DO45255 81 years, male, NA, stage:3, alive, 720 days 1100.8
DO48728 74 years, female, NA, stage:2, alive, 150 days 1100.7
DO50798 77 years, male, NA, stage:3, dead, 30 days 1096.2
DO23537 79 years, male, NA, stage:2, dead, 900 days 1087.5
DO23512 60 years, male, NA, stage:1, alive, 1260 days 1073.5
DO45149 70 years, female, NA, stage:2, alive, 1260 days 1072.4
DO45159 65 years, male, NA, stage:3, alive, 1470 days 1066.8
DO23514 64 years, male, NA, stage:2, alive, 1290 days 1063.9
DO23548 78 years, female, NA, stage:1, alive, 840 days 1063.2
DO45113 58 years, male, NA, stage:3, alive, 1560 days 1057.8
DO48746 76 years, male, NA, stage:3, alive, 570 days 1046.8
DO45163 76 years, male, NA, stage:2, alive, 960 days 1043.9
DO50816 63 years, male, NA, stage:2, alive, 390 days 1041.6
DO50859 77 years, male, NA, stage:2, alive, 180 days 1038.2
DO45257 46 years, male, NA, stage:3, alive, 810 days 1032.8
DO48733 72 years, male, NA, stage:2, alive, 600 days 1026.1
DO50844 75 years, male, NA, stage:4, alive, 300 days 1024.6
DO45153 77 years, female, NA, stage:2, alive, 1380 days 1022.4
DO48706 72 years, male, NA, stage:2, alive, 870 days 1021.0
DO23524 71 years, female, NA, stage:2, alive, 1050 days 991.5
DO45229 74 years, male, NA, stage:1, alive, 990 days 984.3
DO45181 84 years, female, NA, stage:2, alive, 1200 days 983.1
DO227801 77 years, female, NA, stage:1, alive, 660 days 982.4
DO45171 56 years, male, NA, stage:3, alive, 600 days 979.6
DO48743 69 years, female, NA, stage:2, alive, 570 days 977.8
DO45177 81 years, female, NA, stage:3, alive, 1260 days 969.9
DO45099 46 years, male, NA, stage:3, alive, 1590 days 965.8
DO48700 78 years, female, NA, stage:2, alive, 810 days 964.5
DO45201 49 years, male, NA, stage:1, alive, 900 days 964.3
DO48677 58 years, male, NA, stage:3, alive, 1140 days 956.1
DO50857 72 years, male, NA, stage:2, alive, 210 days 948.1
DO23535 67 years, male, NA, stage:1, alive, 960 days 944.1
DO45101 63 years, male, NA, stage:2, alive, 1680 days 938.7
DO50787 63 years, male, NA, stage:3, alive, 480 days 920.2
DO45233 83 years, male, NA, stage:3, alive, 900 days 920.0
DO23544 67 years, male, NA, stage:2, alive, 960 days 918.7
DO50807 67 years, male, NA, stage:1, alive, 540 days 910.3
DO45263 67 years, male, NA, stage:3, dead, 270 days 904.7
DO50822 66 years, male, NA, stage:2, alive, 510 days 897.5
DO23529 72 years, male, NA, stage:4, alive, 930 days 889.4
DO23542 66 years, male, NA, stage:3, alive, 960 days 888.4
DO45091 56 years, male, NA, stage:2, dead, 1320 days 880.8
DO48719 80 years, male, NA, stage:2, alive, 690 days 875.5
DO45175 74 years, male, NA, stage:2, alive, 1140 days 857.8
DO23534 60 years, male, NA, stage:2, alive, 840 days 851.5
DO45117 73 years, female, NA, stage:2, dead, 1110 days 844.7
DO45197 51 years, male, NA, stage:2, alive, 1170 days 843.1
DO48674 80 years, male, NA, stage:2, alive, 1260 days 833.6
DO23517 62 years, male, NA, stage:2, alive, 1200 days 830.6
DO45223 67 years, male, NA, stage:4, alive, 1020 days 827.1
DO45105 61 years, male, NA, stage:1, alive, 1680 days 824.3
DO50845 72 years, male, NA, stage:3, alive, 210 days 822.1
DO50774 68 years, female, NA, stage:2, alive, 720 days 819.6
DO23518 67 years, male, NA, stage:2, alive, 1320 days 817.4
DO23532 71 years, female, NA, stage:1, alive, 960 days 810.1
DO48761 55 years, male, NA, stage:2, alive, 870 days 805.5
DO45215 65 years, male, NA, stage:2, alive, 1170 days 795.4
DO50817 75 years, male, NA, stage:2, alive, 390 days 794.5
DO50818 65 years, male, NA, stage:2, alive, 510 days 789.3
DO45119 74 years, male, NA, stage:3, dead, 510 days 779.7
DO48695 77 years, male, NA, stage:2, alive, 720 days 762.4
DO23513 76 years, male, NA, stage:3, alive, 1200 days 755.8
DO45227 57 years, female, NA, stage:2, alive, 1020 days 745.7
DO45169 74 years, male, NA, stage:3, alive, 1350 days 741.4
DO48704 68 years, female, NA, stage:3, alive, 750 days 739.4
DO50789 73 years, female, NA, stage:2, alive, 570 days 733.5
DO48716 71 years, male, NA, stage:2, alive, 720 days 729.5
DO48681 57 years, male, NA, stage:2, alive, 900 days 727.9
DO48701 78 years, male, NA, stage:2, alive, 780 days 711.0
DO23527 72 years, male, NA, stage:1, alive, 1050 days 709.2
DO48742 76 years, male, NA, stage:2, alive, 600 days 704.0
DO50803 62 years, female, NA, stage:1, alive, 540 days 689.3
DO23541 65 years, male, NA, stage:2, alive, 930 days 680.8
DO45107 63 years, female, NA, stage:2, alive, 1710 days 667.7
DO45235 68 years, female, NA, stage:1, alive, 900 days 660.8
DO45111 74 years, male, NA, stage:2, alive, 1590 days 653.5
DO23531 78 years, female, NA, stage:3, alive, 900 days 649.0
DO45129 61 years, male, NA, stage:3, alive, 1470 days 647.2
DO45237 58 years, male, NA, stage:2, alive, 900 days 645.1
DO45123 78 years, female, NA, stage:2, dead, 570 days 644.1
DO45096 69 years, male, NA, stage:2, dead, 1290 days 641.3
DO45133 64 years, male, NA, stage:3, dead, 660 days 625.8
DO45094 76 years, male, NA, stage:3, alive, 1650 days 617.1
DO23552 80 years, female, NA, stage:1, alive, 810 days 584.4
DO45195 62 years, male, NA, stage:1, alive, 390 days 571.5
DO23538 67 years, male, NA, stage:2, alive, 450 days 538.0
DO48760 70 years, female, NA, stage:2, alive, 690 days 527.3
DO23550 69 years, male, NA, stage:1, alive, 990 days 523.6
DO48721 58 years, female, NA, stage:1, alive, 900 days 492.6
DO23551 73 years, male, NA, stage:3, dead, 150 days 470.8
DO45167 67 years, male, NA, stage:2, dead, 1440 days 447.9
DO23509 60 years, male, NA, stage:3, dead, 780 days 407.9
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LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples 330
Samples
Sample ID Sample type nRPX
978 Normal 0.4
223 Tumor 0.4
557 Tumor 0.4
212 Normal 0.3
172 Normal 0.3
395 Tumor 0.3
488 Normal 0.3
926 Normal 0.3
661 Tumor 0.3
981 Tumor 0.3
964 Normal 0.3
113 Tumor 0.3
222 Normal 0.3
1014 Normal 0.3
426 Normal 0.3
191 Tumor 0.3
394 Normal 0.3
332 Normal 0.3
358 Normal 0.3
356 Normal 0.2
327 Tumor 0.2
573 Tumor 0.2
135 Tumor 0.2
162 Normal 0.2
186 Normal 0.2
432 Normal 0.2
268 Normal 0.2
258 Normal 0.2
196 Normal 0.2
698 Normal 0.2
314 Normal 0.2
535 Tumor 0.2
482 Normal 0.2
958 Normal 0.2
217 Tumor 0.2
937 Tumor 0.2
636 Normal 0.2
414 Normal 0.2
982 Normal 0.2
228 Normal 0.2
478 Normal 0.2
537 Tumor 0.2
412 Normal 0.2
984 Normal 0.2
497 Tumor 0.2
955 Tumor 0.2
983 Tumor 0.2
481 Tumor 0.1
422 Normal 0.1
427 Tumor 0.1
514 Normal 0.1
443 Tumor 0.1
367 Tumor 0.1
424 Normal 0.1
756 Normal 0.1
467 Tumor 0.1
524 Normal 0.1
462 Normal 0.1
148 Normal 0.1
351 Tumor 0.1
352 Normal 0.1
214 Normal 0.1
195 Tumor 0.1
342 Normal 0.1
232 Normal 0.1
272 Normal 0.1
696 Normal 0.1
218 Normal 0.1
227 Tumor 0.1
344 Normal 0.1
513 Tumor 0.1
534 Normal 0.1
1027 Tumor 0.1
536 Normal 0.1
132 Normal 0.1
145 Tumor 0.1
851 Tumor 0.1
388 Normal 0.1
1032 Normal 0.1
528 Normal 0.1
526 Normal 0.1
546 Normal 0.1
446 Normal 0.1
136 Normal 0.1
114 Normal 0.1
353 Tumor 0.1
662 Normal 0.1
284 Normal 0.1
262 Normal 0.1
1046 Normal 0.1
224 Normal 0.1
617 Tumor 0.1
146 Normal 0.1
516 Normal 0.1
428 Normal 0.1
286 Normal 0.0
393 Tumor 0.0
128 Normal 0.0
126 Normal 0.0
188 Normal 0.0
444 Normal 0.0
738 Normal 0.0
965 Tumor 0.0
466 Normal 0.0
922 Normal 0.0
743 Tumor 0.0
666 Normal 0.0
111 Normal 0.0
1015 Tumor 0.0
362 Normal 0.0
567 Tumor 0.0
413 Tumor 0.0
924 Normal 0.0
568 Normal 0.0
665 Tumor 0.0
192 Normal 0.0
944 Normal 0.0
956 Normal 0.0
1044 Normal 0.0
387 Tumor 0.0
517 Tumor 0.0
376 Normal 0.0
298 Normal 0.0
285 Tumor 0.0
912 Normal 0.0
368 Normal 0.0
396 Normal 0.0
384 Normal 0.0
664 Normal 0.0
435 Tumor 0.0
628 Normal 0.0
423 Tumor 0.0
494 Normal 0.0
976 Normal 0.0
484 Normal 0.0
916 Normal 0.0
722 Normal 0.0
858 Normal 0.0
185 Tumor 0.0
515 Tumor 0.0
721 Tumor 0.0
525 Tumor 0.0
278 Normal 0.0
571 Tumor 0.0
331 Tumor 0.0
966 Normal 0.0
618 Normal 0.0
354 Normal 0.0
714 Normal 0.0
713 Tumor 0.0
138 Normal 0.0
231 Tumor 0.0
431 Tumor 0.0
815 Tumor 0.0
257 Tumor 0.0
213 Tumor 0.0
938 Normal 0.0
483 Tumor 0.0
672 Normal 0.0
385 Tumor 0.0
434 Normal 0.0
392 Normal 0.0
925 Tumor 0.0
545 Tumor 0.0
564 Normal 0.0
137 Tumor -0.1
963 Tumor -0.1
724 Normal -0.1
472 Normal -0.1
112 Tumor -0.1
328 Normal -0.1
572 Normal -0.1
187 Tumor -0.1
411 Tumor -0.1
648 Normal -0.1
671 Tumor -0.1
141 Tumor -0.1
386 Normal -0.1
436 Normal -0.1
415 Tumor -0.1
723 Tumor -0.1
366 Normal -0.1
465 Tumor -0.1
523 Tumor -0.1
124 Normal -0.1
492 Normal -0.1
538 Normal -0.1
416 Normal -0.1
957 Tumor -0.1
1026 Normal -0.1
468 Normal -0.1
642 Normal -0.1
1016 Normal -0.1
686 Normal -0.1
452 Normal -0.1
267 Tumor -0.1
563 Tumor -0.1
685 Tumor -0.1
778 Normal -0.1
527 Tumor -0.1
451 Tumor -0.1
498 Normal -0.1
375 Tumor -0.1
171 Tumor -0.1
147 Tumor -0.1
142 Normal -0.1
127 Tumor -0.1
873 Tumor -0.1
271 Tumor -0.1
744 Normal -0.1
918 Normal -0.1
616 Normal -0.1
448 Normal -0.1
123 Tumor -0.1
716 Normal -0.1
445 Tumor -0.1
312 Normal -0.1
533 Tumor -0.1
464 Normal -0.1
1021 Tumor -0.1
882 Normal -0.1
1022 Normal -0.1
786 Normal -0.1
967 Tumor -0.2
777 Tumor -0.2
1025 Tumor -0.2
433 Tumor -0.2
742 Normal -0.2
355 Tumor -0.2
824 Normal -0.2
518 Normal -0.2
125 Tumor -0.2
868 Normal -0.2
954 Normal -0.2
487 Tumor -0.2
1028 Normal -0.2
1042 Normal -0.2
864 Normal -0.2
425 Tumor -0.2
968 Normal -0.2
923 Tumor -0.2
558 Normal -0.2
917 Tumor -0.2
357 Tumor -0.2
852 Normal -0.2
297 Tumor -0.2
813 Tumor -0.2
421 Tumor -0.2
221 Tumor -0.2
914 Normal -0.2
663 Tumor -0.2
862 Normal -0.2
746 Normal -0.2
647 Tumor -0.2
866 Normal -0.2
953 Tumor -0.2
361 Tumor -0.2
463 Tumor -0.2
884 Normal -0.2
817 Tumor -0.2
635 Tumor -0.2
697 Tumor -0.2
814 Normal -0.2
881 Tumor -0.2
131 Tumor -0.2
554 Normal -0.2
574 Normal -0.2
211 Tumor -0.2
818 Normal -0.2
915 Tumor -0.3
474 Normal -0.3
365 Tumor -0.3
728 Normal -0.3
364 Normal -0.3
913 Tumor -0.3
641 Tumor -0.3
857 Tumor -0.3
952 Normal -0.3
313 Tumor -0.3
343 Tumor -0.3
627 Tumor -0.3
615 Tumor -0.3
456 Normal -0.3
865 Tumor -0.3
341 Tumor -0.3
877 Tumor -0.3
363 Tumor -0.3
878 Normal -0.3
493 Tumor -0.3
311 Tumor -0.3
283 Tumor -0.3
695 Tumor -0.3
383 Tumor -0.3
1043 Tumor -0.3
883 Tumor -0.3
1031 Tumor -0.3
277 Tumor -0.3
447 Tumor -0.3
745 Tumor -0.3
261 Tumor -0.3
1013 Tumor -0.3
455 Tumor -0.3
477 Tumor -0.3
391 Tumor -0.3
874 Normal -0.3
867 Tumor -0.3
161 Tumor -0.4
715 Tumor -0.4
461 Tumor -0.4
975 Tumor -0.4
816 Normal -0.4
727 Tumor -0.4
785 Tumor -0.4
755 Tumor -0.4
471 Tumor -0.4
977 Tumor -0.5
951 Tumor -0.5
863 Tumor -0.5
473 Tumor -0.5
823 Tumor -0.5
737 Tumor -0.5
1041 Tumor -0.5
943 Tumor -0.6
553 Tumor -0.6
921 Tumor -0.6
491 Tumor -0.7
911 Tumor -0.7
1045 Tumor -0.7
861 Tumor -0.8
741 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 HPA053635
 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
Carcinoma, Hepatocellular, NOS
Cholangiocarcinoma

Contact

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The Human Protein Atlas

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


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