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RPS19
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  • RPS19
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.

RPS19 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.

: 2986.48
Median expressioni

Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.

: N/A
Median follow up timei

Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.

: N/A
P scorei

Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.

N/A
5-year survival highi

5-year survival for patients with higher expression than the expression cutoff.

For melanoma and glioma, 3-year survival is shown.

N/A
5-year survival lowi

5-year survival for patients with lower expression than the expression cutoff.

For melanoma and glioma, 3-year survival is shown.

N/A
TCGA RNA samplesi

RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .

Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.

Average pTPM 2721.1
Number of samples 362
Samples
Sample Description pTPM
TCGA-CC-A123-01A 24 years, female, asian, stage:Stage IIIA, alive, 219 days 14300.1
TCGA-DD-AACG-01A 52 years, male, asian, stage:Stage II, dead, 469 days 11822.5
TCGA-DD-AAE0-01A 45 years, female, asian, stage:Stage IIIA, alive, 555 days 11420.2
TCGA-G3-A25X-01A 73 years, male, asian, stage:Stage II, alive, 1779 days 11417.6
TCGA-FV-A4ZP-01A 78 years, male, white, stage:Stage IIIA, dead, 2486 days 10628.2
TCGA-DD-AACP-01A 64 years, male, asian, stage:Stage I, alive, 415 days 10048.1
TCGA-G3-AAV6-01A 53 years, female, white, stage:Stage IIIA, dead, 65 days 9741.7
TCGA-DD-AADO-01A 55 years, male, asian, stage:Stage I, alive, 453 days 9164.2
TCGA-CC-A7II-01A 54 years, male, asian, stage:Stage IIIA, alive, 399 days 8875.5
TCGA-UB-A7MA-01A 62 years, female, white, stage:Stage II, alive, 848 days 8053.3
TCGA-DD-A73G-01A 73 years, female, white, stage:Stage I, alive, 3478 days 7986.1
TCGA-G3-A25T-01A 45 years, female, white, stage:Stage IIIA, alive, 1553 days 7910.9
TCGA-DD-AAVU-01A 46 years, male, asian, stage:Stage II, alive, 2202 days 7714.8
TCGA-DD-AA3A-01A 81 years, female, white, stage:Stage I, dead, 410 days 6915.4
TCGA-DD-AADI-01A 43 years, female, asian, stage:Stage I, alive, 1085 days 6868.8
TCGA-DD-AADN-01A 59 years, male, asian, stage:Stage I, alive, 898 days 6866.4
TCGA-G3-A7M6-01A 60 years, female, white, stage:Stage I, alive, 632 days 6736.0
TCGA-KR-A7K7-01A 61 years, female, white, stage:Stage II, alive, 951 days 6604.7
TCGA-DD-A39V-01A 77 years, male, white, stage:Stage II, dead, 643 days 6584.4
TCGA-DD-AAED-01A 51 years, male, asian, stage:Stage I, alive, 763 days 6479.9
TCGA-BC-A69H-01A 64 years, male, white, stage:Stage II, alive, 444 days 6471.0
TCGA-RC-A7SH-01A 42 years, male, asian, stage:Stage II, alive, 468 days 6431.5
TCGA-FV-A3I0-01A 76 years, female, white, stage:Stage II, alive, 848 days 6367.4
TCGA-BC-A112-01A 80 years, male, white, stage:'--, dead, 153 days 6319.4
TCGA-CC-5259-01A 60 years, female, asian, stage:Stage IIIC, alive, 250 days 6089.1
TCGA-EP-A2KA-01A 52 years, female, white, stage:Stage IIIA, dead, 627 days 6014.8
TCGA-CC-A7IE-01A 57 years, male, asian, stage:Stage IIIA, dead, 217 days 5974.0
TCGA-ES-A2HS-01A 80 years, male, white, stage:Stage I, dead, 688 days 5893.5
TCGA-DD-A1EF-01A 57 years, female, white, stage:Stage I, dead, 394 days 5879.6
TCGA-CC-A8HS-01A 18 years, male, asian, stage:Stage IIIC, dead, 300 days 5781.8
TCGA-DD-AACW-01A 43 years, male, asian, stage:Stage I, alive, 1424 days 5706.5
TCGA-CC-A3M9-01A 45 years, male, asian, stage:Stage IIIA, dead, 300 days 5531.8
TCGA-DD-AACN-01A 32 years, male, asian, stage:Stage I, alive, 1302 days 5525.0
TCGA-CC-5261-01A 44 years, male, asian, stage:Stage II, dead, 97 days 5367.9
TCGA-CC-5260-01A 61 years, female, asian, stage:Stage IIIC, dead, 87 days 5205.3
TCGA-G3-A7M9-01A 70 years, male, white, stage:Stage IIIB, dead, 56 days 5128.3
TCGA-DD-AACL-01A 66 years, female, asian, stage:Stage I, dead, 107 days 4990.0
TCGA-5C-A9VG-01A 58 years, male, white, stage:Stage II, alive, 328 days 4888.6
TCGA-MI-A75C-01A 64 years, male, white, stage:Stage I, alive, 291 days 4778.8
TCGA-CC-A8HV-01A 51 years, female, asian, stage:Stage II, dead, 279 days 4769.3
TCGA-ED-A7PZ-01A 61 years, male, asian, stage:Stage II, alive, 6 days 4756.2
TCGA-DD-AADB-01A 51 years, male, asian, stage:Stage I, alive, 1242 days 4727.1
TCGA-YA-A8S7-01A 68 years, male, white, stage:Stage IIIA, dead, 412 days 4653.9
TCGA-ED-A8O5-01A 59 years, female, asian, stage:Stage IIIA, alive, 406 days 4615.4
TCGA-DD-AAD5-01A 54 years, male, asian, stage:Stage I, alive, 1345 days 4598.3
TCGA-ED-A5KG-01A 60 years, female, asian, stage:Stage II, alive, 854 days 4550.5
TCGA-DD-A4NN-01A 56 years, female, white, stage:Stage I, dead, 899 days 4472.1
TCGA-DD-AADW-01A 48 years, male, asian, stage:Stage I, alive, 587 days 4471.8
TCGA-ED-A82E-01A 60 years, female, asian, stage:Stage IIIA, alive, 408 days 4441.6
TCGA-CC-A9FW-01A 68 years, male, asian, stage:Stage IIIA, alive, 248 days 4342.0
TCGA-CC-A3MA-01A 61 years, male, asian, stage:Stage IIIA, dead, 303 days 4327.8
TCGA-ED-A8O6-01A 50 years, female, asian, stage:Stage IIIA, dead, 56 days 4323.9
TCGA-DD-AACO-01A 40 years, male, asian, stage:Stage I, alive, 1876 days 4262.0
TCGA-2Y-A9GY-01A 64 years, female, white, stage:Stage II, dead, 757 days 4253.4
TCGA-DD-AADC-01A 53 years, male, asian, stage:Stage I, dead, 425 days 4227.7
TCGA-DD-A39Z-01A 43 years, female, stage:Stage II, dead, 601 days 4213.1
TCGA-G3-AAUZ-01A 48 years, male, stage:Stage I, alive, 480 days 4181.5
TCGA-KR-A7K2-01A 64 years, male, white, stage:Stage I, alive, 829 days 4126.7
TCGA-EP-A2KB-01A 46 years, female, white, stage:Stage I, dead, 596 days 4106.7
TCGA-G3-AAV0-01A 58 years, male, asian, stage:Stage I, alive, 476 days 4077.6
TCGA-FV-A495-01A 51 years, female, white, stage:Stage II, alive, 1 days 3990.4
TCGA-DD-AAVQ-01A 38 years, male, asian, stage:Stage I, alive, 2728 days 3948.3
TCGA-DD-A3A9-01A 64 years, female, white, stage:Stage IVB, dead, 931 days 3861.0
TCGA-ED-A7PX-01A 48 years, female, asian, stage:Stage II, alive, 6 days 3817.8
TCGA-G3-A25Y-01A 52 years, female, asian, stage:Stage I, dead, 452 days 3813.5
TCGA-WX-AA44-01A 64 years, female, white, stage:Stage I, alive, 615 days 3795.9
TCGA-UB-A7ME-01A 51 years, male, asian, stage:Stage I, alive, 486 days 3784.9
TCGA-DD-AADS-01A 63 years, male, asian, stage:Stage I, alive, 474 days 3767.7
TCGA-FV-A4ZQ-01A 52 years, male, white, stage:Stage I, alive, 12 days 3763.4
TCGA-CC-A8HU-01A 39 years, female, asian, stage:Stage IIIA, dead, 344 days 3735.0
TCGA-BW-A5NO-01A 50 years, male, black or african american, stage:Stage IIIA, alive, 20 days 3709.2
TCGA-ED-A7PY-01A 20 years, female, asian, stage:Stage II, alive, 390 days 3661.3
TCGA-BC-A10Q-01A 72 years, female, white, stage:'--, dead, 1135 days 3647.9
TCGA-CC-A7IG-01A 47 years, male, asian, stage:Stage II, dead, 299 days 3619.0
TCGA-DD-AACD-01A 48 years, male, asian, stage:Stage I, dead, 381 days 3611.6
TCGA-CC-A7IJ-01A 56 years, male, asian, stage:Stage II, alive, 382 days 3546.7
TCGA-DD-AAD6-01A 66 years, male, asian, stage:Stage IIIA, alive, 672 days 3516.7
TCGA-WQ-A9G7-01A 71 years, female, white, stage:'--, alive, 30 days 3493.6
TCGA-DD-AACB-01A 74 years, female, asian, stage:Stage I, alive, 2324 days 3492.9
TCGA-CC-A5UE-01A 48 years, male, asian, stage:Stage IIIB, dead, 272 days 3449.6
TCGA-DD-A3A6-01A 72 years, female, white, stage:Stage II, dead, 3258 days 3426.0
TCGA-RC-A7S9-01A 47 years, female, asian, stage:Stage I, alive, 640 days 3388.9
TCGA-DD-AADP-01A 45 years, male, asian, stage:Stage I, alive, 458 days 3378.1
TCGA-XR-A8TF-01A 74 years, male, white, stage:Stage I, dead, 693 days 3364.7
TCGA-2Y-A9H1-01A 58 years, male, white, stage:Stage I, dead, 1229 days 3290.6
TCGA-PD-A5DF-01A 58 years, female, white, stage:Stage IIIB, dead, 639 days 3195.0
TCGA-MI-A75H-01A 77 years, male, white, stage:'--, alive, 747 days 3110.9
TCGA-5C-AAPD-01A 61 years, male, asian, stage:Stage II, alive, 20 days 3096.5
TCGA-RG-A7D4-01A 69 years, male, black or african american, stage:Stage II, alive, 1098 days 3093.0
TCGA-CC-A5UC-01A 63 years, male, asian, stage:Stage IIIA, dead, 347 days 3084.5
TCGA-CC-5262-01A 67 years, male, asian, stage:Stage IIIC, dead, 103 days 3081.6
TCGA-DD-AACA-01A 65 years, male, asian, stage:Stage I, alive, 2301 days 3079.9
TCGA-DD-AAE4-01A 49 years, female, asian, stage:Stage I, alive, 608 days 3012.9
TCGA-DD-A1EJ-01A 71 years, female, white, stage:Stage IIIC, dead, 1005 days 3003.3
TCGA-DD-AADF-01A 64 years, female, asian, stage:Stage I, dead, 115 days 2997.1
TCGA-DD-AAVS-01A 56 years, male, asian, stage:Stage I, alive, 1823 days 2975.8
TCGA-2Y-A9H3-01A 45 years, male, white, stage:Stage II, alive, 1516 days 2938.0
TCGA-2Y-A9H2-01A 64 years, female, white, stage:Stage I, alive, 1731 days 2930.3
TCGA-XR-A8TD-01A 49 years, female, white, stage:Stage IIIB, alive, 1030 days 2925.1
TCGA-DD-A119-01A 40 years, male, asian, stage:Stage IV, dead, 223 days 2921.5
TCGA-MI-A75G-01A 63 years, male, white, stage:Stage II, alive, 698 days 2912.2
TCGA-GJ-A3OU-01A 59 years, male, white, stage:Stage I, alive, 879 days 2908.2
TCGA-DD-AACJ-01A 75 years, male, asian, stage:Stage II, alive, 2102 days 2906.0
TCGA-UB-A7MB-01A 24 years, male, white, stage:Stage II, alive, 601 days 2890.4
TCGA-WQ-AB4B-01A 62 years, male, white, stage:Stage II, alive, 395 days 2873.6
TCGA-DD-A3A7-01A 67 years, male, stage:Stage IIIB, dead, 419 days 2865.4
TCGA-DD-A1EH-01A 23 years, male, white, stage:Stage III, alive, 1495 days 2816.8
TCGA-BC-A5W4-01A 69 years, male, white, stage:Stage IIIA, dead, 547 days 2805.6
TCGA-DD-AAD8-01A 73 years, female, asian, stage:Stage I, alive, 1219 days 2796.7
TCGA-DD-AAE1-01A 52 years, male, asian, stage:Stage I, alive, 552 days 2790.0
TCGA-2Y-A9H7-01A 81 years, female, white, stage:Stage I, alive, 1168 days 2789.0
TCGA-3K-AAZ8-01A 65 years, male, black or african american, stage:Stage IIIB, alive, 396 days 2771.1
TCGA-DD-AAEH-01A 73 years, male, asian, stage:Stage I, alive, 784 days 2756.8
TCGA-DD-AACQ-01A 50 years, male, asian, stage:Stage II, dead, 432 days 2744.7
TCGA-DD-AACF-01A 68 years, male, asian, stage:Stage I, dead, 365 days 2737.2
TCGA-DD-A1EC-01A 20 years, female, white, stage:Stage I, alive, 602 days 2728.4
TCGA-ED-A7XO-01A 29 years, male, asian, stage:Stage IIIA, alive, 427 days 2724.7
TCGA-G3-AAV7-01A 38 years, male, asian, stage:Stage II, alive, 361 days 2719.4
TCGA-DD-AAE6-01A 59 years, female, asian, stage:Stage I, alive, 141 days 2718.1
TCGA-DD-A4NR-01A 85 years, female, white, stage:Stage I, dead, 9 days 2717.0
TCGA-DD-AAVP-01A 48 years, male, asian, stage:Stage I, alive, 2752 days 2686.0
TCGA-DD-A3A3-01A 45 years, male, asian, stage:Stage I, dead, 535 days 2667.0
TCGA-EP-A3JL-01A 76 years, male, white, stage:Stage I, alive, 303 days 2660.2
TCGA-DD-AAC8-01A 72 years, male, asian, stage:Stage I, dead, 16 days 2659.9
TCGA-KR-A7K8-01A 57 years, male, stage:Stage I, alive, 906 days 2652.8
TCGA-DD-AAEA-01A 65 years, male, asian, stage:Stage I, alive, 575 days 2637.8
TCGA-CC-A1HT-01A 50 years, male, asian, stage:Stage IIIA, dead, 101 days 2616.7
TCGA-ED-A66Y-01A 51 years, female, asian, stage:Stage IIIA, dead, 296 days 2609.6
TCGA-ED-A97K-01A 54 years, male, asian, stage:Stage IIIA, alive, 6 days 2602.8
TCGA-G3-AAV5-01A 67 years, male, white, stage:Stage II, alive, 354 days 2580.8
TCGA-DD-AACC-01A 61 years, male, asian, stage:Stage I, dead, 1685 days 2556.0
TCGA-DD-A39X-01A 78 years, female, white, stage:Stage I, dead, 1694 days 2541.4
TCGA-ZS-A9CF-01A 64 years, male, white, stage:Stage II, alive, 2412 days 2536.1
TCGA-UB-A7MF-01A 56 years, male, white, stage:Stage IIIA, dead, 214 days 2508.2
TCGA-DD-AAVZ-01A 38 years, male, asian, stage:Stage I, alive, 1900 days 2500.1
TCGA-DD-AACI-01A 69 years, male, asian, stage:Stage II, alive, 1618 days 2490.1
TCGA-DD-AADM-01A 58 years, male, asian, stage:Stage II, dead, 12 days 2482.0
TCGA-FV-A23B-01A 70 years, female, white, stage:Stage II, dead, 1852 days 2478.1
TCGA-CC-A8HT-01A 74 years, male, asian, stage:Stage IIIA, dead, 140 days 2467.5
TCGA-DD-A4NQ-01A 60 years, male, white, stage:Stage II, dead, 373 days 2444.3
TCGA-DD-A118-01A 77 years, female, white, stage:Stage II, alive, 3437 days 2442.4
TCGA-ZS-A9CG-01A 55 years, male, white, stage:Stage II, alive, 341 days 2437.5
TCGA-ZP-A9D1-01A 56 years, female, white, stage:'--, alive, 21 days 2417.4
TCGA-G3-A5SJ-01A 59 years, male, white, stage:Stage I, alive, 698 days 2402.8
TCGA-K7-AAU7-01A 61 years, male, white, stage:Stage II, alive, 359 days 2384.5
TCGA-G3-AAV4-01A 83 years, female, white, stage:Stage I, dead, 27 days 2373.7
TCGA-DD-A114-01A 42 years, male, black or african american, stage:Stage II, dead, 1149 days 2358.3
TCGA-DD-AADD-01A 51 years, male, asian, stage:Stage I, alive, 1231 days 2356.8
TCGA-ED-A66X-01A 35 years, male, asian, stage:Stage IIIA, alive, 406 days 2353.9
TCGA-BC-A216-01A 62 years, female, white, stage:Stage IIIA, alive, 1351 days 2351.4
TCGA-DD-AADJ-01A 70 years, female, asian, stage:Stage I, alive, 1066 days 2338.2
TCGA-XR-A8TC-01A 43 years, female, white, stage:Stage I, alive, 1339 days 2335.6
TCGA-DD-AACZ-01A 63 years, female, asian, stage:Stage I, dead, 171 days 2334.7
TCGA-DD-A116-01A 68 years, male, asian, stage:Stage IIIA, dead, 1622 days 2333.8
TCGA-DD-AACT-01A 69 years, female, asian, stage:Stage I, alive, 1562 days 2325.4
TCGA-G3-A25S-01A 64 years, male, white, stage:Stage I, dead, 416 days 2306.5
TCGA-G3-A7M7-01A 65 years, male, white, stage:Stage I, alive, 361 days 2298.4
TCGA-MI-A75E-01A 61 years, male, white, stage:Stage IIIC, alive, 507 days 2296.4
TCGA-DD-AAVV-01A 56 years, male, asian, stage:Stage II, alive, 2455 days 2294.4
TCGA-DD-A4NS-01A 61 years, female, white, stage:Stage I, dead, 2456 days 2289.9
TCGA-FV-A2QQ-01A 80 years, male, white, stage:Stage I, alive, 729 days 2279.6
TCGA-DD-AACY-01A 61 years, male, asian, stage:Stage I, alive, 1450 days 2275.8
TCGA-DD-AACK-01A 70 years, male, asian, stage:Stage I, alive, 9 days 2266.6
TCGA-EP-A3RK-01A 73 years, male, white, stage:Stage IIIA, alive, 363 days 2258.3
TCGA-DD-AAD1-01A 51 years, female, asian, stage:Stage I, alive, 564 days 2251.5
TCGA-DD-A1EL-01A 23 years, male, black or african american, stage:Stage II, dead, 415 days 2246.7
TCGA-DD-A73E-01A 66 years, male, white, stage:Stage I, alive, 44 days 2243.3
TCGA-DD-AADY-01A 55 years, female, asian, stage:Stage I, alive, 555 days 2232.0
TCGA-CC-5258-01A 48 years, male, asian, stage:Stage II, dead, 129 days 2230.1
TCGA-WX-AA47-01A 33 years, female, white, stage:Stage IIIA, dead, 556 days 2227.4
TCGA-CC-A5UD-01A 45 years, male, asian, stage:Stage IIIA, dead, 304 days 2224.1
TCGA-HP-A5N0-01A 90 years, female, stage:'--, dead, 752 days 2218.6
TCGA-DD-AAE3-01A 50 years, male, asian, stage:Stage I, alive, 566 days 2204.9
TCGA-DD-AADA-01A 66 years, female, asian, stage:Stage I, alive, 1233 days 2191.8
TCGA-BD-A2L6-01A 69 years, male, white, stage:'--, alive, 1363 days 2176.0
TCGA-DD-A3A1-01A 65 years, male, stage:Stage IIIA, dead, 233 days 2166.4
TCGA-DD-A1EI-01A 46 years, male, asian, stage:Stage I, alive, 183 days 2162.3
TCGA-DD-A4ND-01A 56 years, female, white, stage:Stage I, alive, 2746 days 2154.6
TCGA-EP-A2KC-01A 62 years, male, black or african american, stage:Stage I, dead, 19 days 2151.1
TCGA-ZS-A9CD-01A 73 years, male, white, stage:Stage II, dead, 1386 days 2144.3
TCGA-DD-AAW3-01A 69 years, male, asian, stage:Stage I, alive, 1633 days 2142.1
TCGA-DD-AAEK-01A 51 years, male, asian, stage:Stage II, alive, 1067 days 2140.7
TCGA-DD-A4NH-01A 65 years, female, white, stage:Stage IIIB, alive, 917 days 2136.9
TCGA-DD-A1EG-01A 76 years, male, white, stage:Stage I, dead, 1372 days 2134.7
TCGA-G3-A3CH-01A 53 years, male, asian, stage:Stage IIIA, alive, 780 days 2128.2
TCGA-DD-A4NV-01A 61 years, male, white, stage:Stage IIIA, alive, 2398 days 2124.1
TCGA-DD-A39Y-01A 67 years, male, asian, stage:Stage I, dead, 171 days 2120.2
TCGA-ZP-A9D4-01A 64 years, female, white, stage:'--, alive, 395 days 2118.6
TCGA-DD-AAEI-01A 72 years, male, asian, stage:Stage I, alive, 1531 days 2112.0
TCGA-BC-A69I-01A 69 years, male, white, stage:Stage I, alive, 387 days 2103.4
TCGA-5R-AA1D-01A 17 years, female, white, stage:Stage IIIA, alive, 449 days 2091.1
TCGA-RC-A6M5-01A 20 years, female, white, stage:Stage IVA, alive, 15 days 2082.2
TCGA-DD-AAW2-01A 69 years, male, asian, stage:Stage I, alive, 1855 days 2072.8
TCGA-QA-A7B7-01A 48 years, male, black or african american, stage:Stage II, alive, 94 days 2062.9
TCGA-DD-AACX-01A 66 years, male, asian, stage:Stage II, alive, 170 days 2024.7
TCGA-2Y-A9H6-01A 68 years, female, white, stage:Stage I, alive, 357 days 2023.8
TCGA-5C-A9VH-01A 70 years, male, white, stage:Stage I, alive, 322 days 1999.6
TCGA-DD-AAVX-01A 38 years, male, asian, stage:Stage II, alive, 1718 days 1989.8
TCGA-ED-A627-01A 74 years, male, white, stage:Stage I, alive, 423 days 1984.6
TCGA-2Y-A9H5-01A 59 years, female, white, stage:Stage I, dead, 555 days 1979.5
TCGA-RC-A6M6-01A 75 years, male, white, stage:Stage II, alive, 9 days 1973.6
TCGA-XR-A8TE-01A 16 years, male, white, stage:Stage IIIA, alive, 925 days 1971.9
TCGA-BC-A10S-01A 81 years, male, white, stage:'--, dead, 1423 days 1966.4
TCGA-CC-A3MB-01A 36 years, male, asian, stage:Stage IIIA, dead, 315 days 1965.7
TCGA-BC-A10W-01A 50 years, male, asian, stage:'--, dead, 91 days 1962.9
TCGA-DD-A4NA-01A 67 years, female, white, stage:Stage IIIC, alive, 1008 days 1951.9
TCGA-BC-A3KG-01A 68 years, female, white, stage:Stage II, alive, 680 days 1915.4
TCGA-MI-A75I-01A 61 years, male, black or african american, stage:'--, alive, 630 days 1910.3
TCGA-K7-A6G5-01A 66 years, male, white, stage:Stage I, alive, 512 days 1909.3
TCGA-DD-A73A-01A 71 years, male, white, stage:Stage I, alive, 728 days 1894.7
TCGA-2Y-A9GS-01A 58 years, male, white, stage:'--, dead, 724 days 1886.8
TCGA-BC-A8YO-01A 66 years, female, white, stage:Stage IIIC, alive, 562 days 1873.1
TCGA-BD-A3EP-01A 75 years, female, black or african american, stage:Stage I, alive, 409 days 1853.8
TCGA-G3-A5SI-01A 44 years, male, asian, stage:Stage II, dead, 768 days 1845.6
TCGA-MR-A8JO-01A 34 years, male, white, stage:Stage I, alive, 330 days 1842.6
TCGA-CC-5264-01A 71 years, male, asian, stage:Stage IIIA, dead, 102 days 1840.7
TCGA-O8-A75V-01A 54 years, male, stage:Stage I, alive, 538 days 1825.4
TCGA-BC-A10T-01A 76 years, male, white, stage:'--, dead, 837 days 1812.5
TCGA-DD-AACU-01A 59 years, male, asian, stage:Stage I, alive, 1567 days 1810.9
TCGA-WX-AA46-01A 61 years, male, white, stage:Stage II, alive, 756 days 1805.5
TCGA-DD-AADR-01A 58 years, male, asian, stage:Stage I, alive, 2028 days 1803.0
TCGA-DD-AAE7-01A 72 years, male, asian, stage:Stage I, alive, 644 days 1795.2
TCGA-DD-AAD0-01A 73 years, female, asian, stage:Stage I, alive, 137 days 1791.1
TCGA-BC-A217-01A 75 years, female, white, stage:Stage II, dead, 1397 days 1785.5
TCGA-ED-A459-01A 47 years, male, asian, stage:Stage II, alive, 910 days 1784.9
TCGA-ZS-A9CE-01A 79 years, female, white, stage:Stage II, alive, 1241 days 1779.7
TCGA-5R-AA1C-01A 57 years, male, white, stage:Stage II, alive, 520 days 1778.6
TCGA-DD-A4NJ-01A 54 years, female, white, stage:Stage II, alive, 928 days 1771.4
TCGA-DD-AAVY-01A 56 years, male, asian, stage:Stage IIIA, alive, 1970 days 1769.6
TCGA-2Y-A9HB-01A 66 years, male, stage:Stage I, alive, 260 days 1758.6
TCGA-CC-A9FS-01A 55 years, male, asian, stage:Stage II, alive, 211 days 1757.9
TCGA-DD-AAEB-01A 60 years, male, asian, stage:Stage I, alive, 478 days 1739.5
TCGA-UB-A7MD-01A 67 years, male, black or african american, stage:Stage I, dead, 52 days 1733.4
TCGA-DD-AAE2-01A 51 years, male, asian, stage:Stage I, alive, 638 days 1732.5
TCGA-DD-A4NB-01A 25 years, male, white, stage:Stage I, alive, 989 days 1731.0
TCGA-KR-A7K0-01A 65 years, male, white, stage:Stage I, dead, 65 days 1728.4
TCGA-2Y-A9GW-01A 64 years, male, white, stage:Stage I, dead, 1271 days 1722.7
TCGA-DD-A3A4-01A 37 years, male, white, stage:Stage IIIA, dead, 612 days 1722.1
TCGA-DD-A113-01A 55 years, female, white, stage:Stage II, alive, 2425 days 1710.8
TCGA-GJ-A6C0-01A 75 years, female, white, stage:Stage II, dead, 31 days 1709.7
TCGA-DD-A11C-01A 69 years, male, white, stage:Stage I, alive, 662 days 1708.6
TCGA-DD-AAE9-01A 69 years, male, asian, stage:Stage I, alive, 722 days 1706.1
TCGA-DD-AADK-01A 68 years, female, asian, stage:Stage II, alive, 1049 days 1697.0
TCGA-G3-AAV3-01A 58 years, female, white, stage:Stage II, alive, 412 days 1688.6
TCGA-DD-A3A5-01A 66 years, female, white, stage:Stage III, dead, 3125 days 1681.3
TCGA-GJ-A9DB-01A 68 years, male, white, stage:Stage I, dead, 67 days 1676.9
TCGA-FV-A496-01A 84 years, female, white, stage:Stage I, alive, 10 days 1674.1
TCGA-DD-AAW1-01A 55 years, male, asian, stage:Stage IIIA, alive, 1989 days 1646.3
TCGA-DD-A115-01A 53 years, male, white, stage:Stage IIIA, dead, 2542 days 1644.9
TCGA-DD-A73D-01A 68 years, female, white, stage:Stage II, alive, 693 days 1636.7
TCGA-DD-AADV-01A 50 years, male, asian, stage:Stage I, alive, 574 days 1629.1
TCGA-G3-A6UC-01A 65 years, male, white, stage:Stage IIIB, alive, 671 days 1626.3
TCGA-BC-A110-01A 51 years, female, black or african american, stage:'--, dead, 2116 days 1610.9
TCGA-G3-A25U-01A 63 years, female, asian, stage:Stage I, alive, 1636 days 1606.1
TCGA-ZP-A9D2-01A 51 years, male, white, stage:'--, dead, 765 days 1604.8
TCGA-RC-A6M4-01A 74 years, female, white, stage:Stage IIIA, alive, 22 days 1601.7
TCGA-5R-AAAM-01A 65 years, female, white, stage:Stage II, dead, 46 days 1596.1
TCGA-G3-A7M5-01A 76 years, male, asian, stage:Stage I, alive, 447 days 1589.0
TCGA-DD-A4NP-01A 32 years, male, white, stage:Stage I, alive, 3308 days 1586.5
TCGA-2Y-A9H9-01A 70 years, male, white, stage:Stage I, alive, 697 days 1574.1
TCGA-DD-AAC9-01A 51 years, male, asian, stage:Stage I, alive, 347 days 1566.7
TCGA-G3-AAV2-01A 50 years, male, white, stage:Stage I, alive, 372 days 1566.4
TCGA-DD-A73F-01A 77 years, female, white, stage:Stage I, alive, 1085 days 1563.3
TCGA-G3-A25V-01A 68 years, male, white, stage:Stage I, alive, 860 days 1556.4
TCGA-EP-A26S-01A 70 years, male, white, stage:Stage I, alive, 608 days 1542.7
TCGA-FV-A3R2-01A 75 years, male, white, stage:Stage I, dead, 194 days 1540.9
TCGA-CC-A3MC-01A 54 years, male, asian, stage:Stage IIIA, alive, 363 days 1537.4
TCGA-UB-A7MC-01A 59 years, male, white, stage:Stage IIIA, alive, 500 days 1521.3
TCGA-DD-AAD3-01A 43 years, male, asian, stage:Stage I, alive, 1295 days 1519.0
TCGA-DD-AAD2-01A 66 years, male, asian, stage:Stage I, alive, 658 days 1516.9
TCGA-2Y-A9HA-01A 70 years, male, white, stage:Stage II, dead, 36 days 1511.2
TCGA-DD-AAEG-01A 59 years, female, asian, stage:Stage I, alive, 719 days 1509.6
TCGA-DD-A39W-01A 29 years, female, white, stage:Stage III, dead, 827 days 1509.5
TCGA-ZP-A9CZ-01A 72 years, male, asian, stage:'--, alive, 706 days 1502.0
TCGA-UB-AA0U-01A 60 years, male, white, stage:Stage II, alive, 327 days 1500.3
TCGA-ED-A4XI-01A 58 years, male, asian, stage:Stage II, alive, 819 days 1498.2
TCGA-DD-AADU-01A 60 years, male, asian, stage:Stage II, alive, 554 days 1484.5
TCGA-CC-A7IK-01A 59 years, male, asian, stage:Stage IIIA, dead, 262 days 1482.2
TCGA-DD-A4NO-01A 65 years, male, white, stage:Stage I, alive, 2245 days 1466.9
TCGA-G3-A3CK-01A 61 years, male, asian, stage:Stage I, alive, 585 days 1459.3
TCGA-2Y-A9GX-01A 68 years, male, white, stage:Stage I, alive, 2442 days 1458.1
TCGA-DD-AAW0-01A 54 years, male, asian, stage:Stage I, alive, 2015 days 1433.5
TCGA-EP-A12J-01A 62 years, male, black or african american, stage:Stage I, alive, 570 days 1425.7
TCGA-FV-A3I1-01A 81 years, female, white, stage:Stage II, dead, 247 days 1423.4
TCGA-2Y-A9H0-01A 49 years, male, white, stage:Stage IIIA, alive, 3675 days 1414.9
TCGA-2Y-A9GZ-01A 82 years, female, white, stage:Stage II, dead, 848 days 1410.9
TCGA-DD-AADQ-01A 59 years, male, asian, stage:Stage II, alive, 436 days 1404.7
TCGA-G3-A3CJ-01A 52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days 1402.8
TCGA-CC-5263-01A 35 years, male, asian, stage:Stage IIIA, dead, 129 days 1402.1
TCGA-DD-A1EK-01A 64 years, female, white, stage:Stage IVB, dead, 558 days 1384.5
TCGA-2Y-A9GU-01A 55 years, female, white, stage:Stage I, alive, 1939 days 1381.9
TCGA-DD-A3A8-01A 75 years, male, white, stage:Stage II, dead, 11 days 1380.2
TCGA-RC-A7SF-01A 66 years, male, asian, stage:Stage I, alive, 579 days 1372.0
TCGA-DD-A4NE-01A 75 years, female, white, stage:Stage IIIA, dead, 660 days 1365.8
TCGA-ES-A2HT-01A 54 years, male, black or african american, stage:Stage I, dead, 438 days 1350.8
TCGA-ZP-A9D0-01A 67 years, female, black or african american, stage:'--, alive, 1091 days 1345.7
TCGA-DD-AAEE-01A 55 years, male, asian, stage:Stage I, alive, 810 days 1343.6
TCGA-FV-A3R3-01A 38 years, female, white, stage:Stage I, dead, 366 days 1342.9
TCGA-DD-A73B-01A 72 years, female, white, stage:Stage I, dead, 283 days 1334.9
TCGA-WJ-A86L-01A 68 years, female, white, stage:Stage I, alive, 345 days 1327.7
TCGA-2Y-A9H8-01A 85 years, female, white, stage:'--, dead, 633 days 1324.3
TCGA-RC-A7SB-01A 53 years, male, asian, stage:Stage II, alive, 588 days 1316.9
TCGA-BC-A3KF-01A 66 years, female, white, stage:Stage I, alive, 8 days 1314.4
TCGA-DD-AADG-01A 70 years, male, asian, stage:Stage IIIA, alive, 1145 days 1301.3
TCGA-DD-AAVR-01A 44 years, male, asian, stage:Stage I, alive, 2513 days 1301.1
TCGA-HP-A5MZ-01A 78 years, male, stage:Stage I, dead, 91 days 1293.5
TCGA-BC-A10Y-01A 76 years, male, white, stage:'--, dead, 711 days 1286.4
TCGA-DD-AACH-01A 69 years, male, asian, stage:Stage II, dead, 195 days 1286.0
TCGA-K7-A5RG-01A 66 years, male, black or african american, stage:Stage I, alive, 519 days 1282.9
TCGA-FV-A2QR-01A 75 years, male, white, stage:Stage I, dead, 581 days 1273.0
TCGA-CC-A7IF-01A 59 years, male, asian, stage:Stage IIIA, dead, 649 days 1251.8
TCGA-G3-AAV1-01A 51 years, male, asian, stage:Stage IIIC, dead, 359 days 1239.7
TCGA-2Y-A9H4-01A 68 years, male, black or african american, stage:Stage I, alive, 1452 days 1236.2
TCGA-G3-A25Z-01A 58 years, male, asian, stage:Stage I, alive, 655 days 1233.5
TCGA-DD-A1EE-01A 73 years, male, white, stage:Stage IIIA, dead, 349 days 1228.7
TCGA-BC-A10R-01A 66 years, female, white, stage:'--, dead, 308 days 1228.0
TCGA-G3-A5SM-01A 58 years, male, white, stage:Stage II, alive, 520 days 1226.5
TCGA-DD-AACS-01A 39 years, male, asian, stage:Stage I, alive, 1804 days 1223.8
TCGA-T1-A6J8-01A 68 years, male, white, stage:'--, alive, 23 days 1217.4
TCGA-LG-A9QD-01A 68 years, male, white, stage:Stage IIIA, alive, 366 days 1213.9
TCGA-XR-A8TG-01A 58 years, male, white, stage:Stage I, alive, 898 days 1209.5
TCGA-K7-A5RF-01A 64 years, male, white, stage:Stage I, alive, 631 days 1192.9
TCGA-G3-A3CG-01A 80 years, male, white, stage:Stage I, alive, 673 days 1178.3
TCGA-LG-A9QC-01A 48 years, male, white, stage:Stage I, alive, 425 days 1177.3
TCGA-CC-A7IH-01A 58 years, male, asian, stage:Stage IIIA, alive, 365 days 1172.4
TCGA-BC-A10U-01A 69 years, male, white, stage:'--, dead, 837 days 1166.4
TCGA-G3-A3CI-01A 71 years, male, white, stage:Stage I, alive, 180 days 1143.5
TCGA-4R-AA8I-01A 66 years, male, white, stage:Stage II, dead, 262 days 1132.5
TCGA-NI-A4U2-01A 71 years, male, white, stage:Stage IIIA, dead, 1791 days 1132.0
TCGA-DD-AADL-01A 58 years, male, asian, stage:Stage I, alive, 636 days 1121.0
TCGA-ZP-A9CY-01A 66 years, female, white, stage:'--, alive, 782 days 1107.1
TCGA-G3-A5SL-01A 70 years, male, white, stage:Stage II, alive, 621 days 1100.2
TCGA-NI-A8LF-01A 74 years, male, white, stage:Stage I, alive, 799 days 1098.0
TCGA-UB-AA0V-01A 69 years, female, white, stage:Stage I, alive, 314 days 1078.9
TCGA-ZP-A9CV-01A 59 years, male, white, stage:'--, dead, 1088 days 1075.8
TCGA-DD-A11B-01A 73 years, male, white, stage:Stage I, dead, 14 days 1069.2
TCGA-BD-A3ER-01A 62 years, male, white, stage:Stage II, alive, 1115 days 1068.2
TCGA-2Y-A9GV-01A 54 years, female, white, stage:Stage I, dead, 2532 days 1066.0
TCGA-G3-A7M8-01A 31 years, male, asian, stage:Stage I, alive, 430 days 1049.1
TCGA-LG-A6GG-01A 79 years, female, white, stage:Stage II, alive, 387 days 1045.9
TCGA-BC-A10X-01A 52 years, female, white, stage:Stage IIIA, dead, 770 days 1024.7
TCGA-MR-A520-01A 58 years, male, white, stage:Stage I, alive, 229 days 1012.5
TCGA-DD-A4NG-01A 77 years, male, white, stage:Stage IIIA, dead, 802 days 1009.2
TCGA-CC-A7IL-01A 61 years, male, asian, stage:Stage IIIA, dead, 278 days 1007.2
TCGA-ED-A7XP-01A 53 years, female, asian, stage:Stage II, alive, 400 days 991.1
TCGA-DD-A4NI-01A 67 years, male, white, stage:Stage II, alive, 816 days 989.7
TCGA-DD-A4NL-01A 46 years, male, white, stage:Stage I, alive, 1711 days 987.9
TCGA-DD-A1ED-01A 68 years, male, white, stage:Stage I, alive, 2301 days 964.7
TCGA-DD-AAVW-01A 35 years, male, asian, stage:Stage I, alive, 2317 days 961.6
TCGA-DD-AACE-01A 62 years, male, asian, stage:Stage I, alive, 2184 days 956.6
TCGA-DD-A73C-01A 65 years, female, white, stage:Stage IIIA, alive, 701 days 954.0
TCGA-2Y-A9GT-01A 51 years, male, white, stage:Stage I, dead, 1624 days 952.6
TCGA-BC-A10Z-01A 62 years, female, white, stage:Stage I, dead, 34 days 931.5
TCGA-DD-A4NF-01A 72 years, male, white, stage:Stage I, alive, 942 days 911.3
TCGA-RC-A7SK-01A 59 years, male, asian, stage:Stage I, alive, 472 days 894.5
TCGA-DD-A11D-01A 57 years, female, white, stage:Stage I, dead, 1560 days 891.4
TCGA-DD-A1EA-01A 68 years, male, asian, stage:Stage II, alive, 2415 days 881.5
TCGA-DD-A3A2-01A 76 years, female, white, stage:Stage I, dead, 2131 days 818.5
TCGA-G3-A5SK-01A 58 years, male, white, stage:Stage I, alive, 744 days 764.2
TCGA-DD-AACV-01A 53 years, male, asian, stage:Stage I, alive, 1531 days 761.8
TCGA-DD-A4NK-01A 80 years, female, white, stage:Stage IIIA, dead, 1210 days 726.6
TCGA-DD-A1EB-01A 72 years, female, stage:Stage I, alive, 2017 days 653.6
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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.

RPS19 is not prognostic in Liver Hepatocellular Carcinoma (validation)


Stage:
Survival analysis
Current cut offi

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

:
Best expression cut offi

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

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

: 1136.87
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 1265.7
Number of samples 231
Samples
Sample Description pTPM
DO45285 59 years, male, NA, stage:3, alive, 480 days 6043.6
DO45217 69 years, female, NA, stage:3, dead, 270 days 5199.0
DO45289 78 years, female, NA, stage:3, alive, 360 days 4357.2
DO45251 57 years, female, NA, stage:2, alive, 900 days 4081.6
DO45209 70 years, male, NA, stage:4, alive, 1350 days 3850.2
DO45301 56 years, male, NA, stage:2, dead, 1440 days 3507.0
DO45245 75 years, female, NA, stage:2, dead, 240 days 3458.7
DO45211 76 years, male, NA, stage:3, alive, 240 days 3335.4
DO23526 66 years, male, NA, stage:3, alive, 1050 days 3154.0
DO23523 52 years, male, NA, stage:3, alive, 1080 days 3122.4
DO45303 62 years, female, NA, stage:3, alive, 990 days 2949.0
DO50815 62 years, male, NA, stage:3, alive, 150 days 2947.2
DO45287 74 years, male, NA, stage:1, alive, 390 days 2876.1
DO23515 71 years, male, NA, stage:2, alive, 1230 days 2839.3
DO45189 85 years, female, NA, stage:2, alive, 1200 days 2833.6
DO45305 66 years, male, NA, stage:4, alive, 300 days 2789.0
DO48747 62 years, male, NA, stage:3, alive, 540 days 2785.9
DO45307 54 years, female, NA, stage:4, dead, 240 days 2770.7
DO23511 83 years, female, NA, stage:3, dead, 180 days 2631.0
DO45299 70 years, female, NA, stage:1, alive, 1440 days 2613.5
DO50799 66 years, female, NA, stage:2, alive, 540 days 2590.5
DO50785 37 years, male, NA, stage:4, dead, 90 days 2522.3
DO23540 73 years, male, NA, stage:1, alive, 750 days 2474.8
DO45259 65 years, male, NA, stage:3, alive, 330 days 2461.9
DO50814 83 years, male, NA, stage:3, alive, 420 days 2453.7
DO48717 54 years, male, NA, stage:4, dead, 180 days 2397.3
DO48737 52 years, male, NA, stage:1, alive, 720 days 2372.6
DO45093 71 years, male, NA, stage:2, dead, 720 days 2311.1
DO23547 74 years, male, NA, stage:1, alive, 1020 days 2263.0
DO48730 73 years, female, NA, stage:2, alive, 630 days 2253.6
DO45283 60 years, male, NA, stage:3, alive, 510 days 2237.9
DO50806 70 years, male, NA, stage:4, alive, 540 days 2188.0
DO45297 61 years, female, NA, stage:4, dead, 1260 days 2096.0
DO45131 53 years, male, NA, stage:4, dead, 360 days 2053.4
DO50825 70 years, male, NA, stage:2, alive, 390 days 2049.3
DO50816 63 years, male, NA, stage:2, alive, 390 days 1976.1
DO45279 67 years, male, NA, stage:3, alive, 1290 days 1910.1
DO23519 65 years, male, NA, stage:3, alive, 630 days 1895.9
DO50855 47 years, male, NA, stage:2, alive, 570 days 1873.7
DO23528 45 years, female, NA, stage:2, alive, 1020 days 1848.4
DO23516 69 years, male, NA, stage:3, dead, 20 days 1829.6
DO23530 53 years, male, NA, stage:4, dead, 180 days 1816.5
DO45103 47 years, male, NA, stage:3, alive, 450 days 1782.1
DO45277 64 years, male, NA, stage:3, alive, 600 days 1764.9
DO48697 64 years, female, NA, stage:2, dead, 810 days 1714.6
DO45249 57 years, male, NA, stage:1, alive, 630 days 1674.8
DO50844 75 years, male, NA, stage:4, alive, 300 days 1671.0
DO45191 61 years, female, NA, stage:2, alive, 1200 days 1650.3
DO48682 72 years, female, NA, stage:3, dead, 120 days 1645.0
DO45219 78 years, male, NA, stage:2, alive, 1080 days 1628.5
DO45105 61 years, male, NA, stage:1, alive, 1680 days 1619.8
DO45173 63 years, male, NA, stage:3, alive, 1170 days 1618.7
DO48757 68 years, female, NA, stage:3, alive, 480 days 1603.1
DO45253 50 years, male, NA, stage:2, alive, 870 days 1598.1
DO45239 42 years, male, NA, stage:2, alive, 870 days 1555.3
DO45265 73 years, male, NA, stage:3, alive, 1020 days 1544.5
DO45199 86 years, female, NA, stage:2, alive, 1350 days 1543.4
DO45185 89 years, male, NA, stage:2, alive, 600 days 1541.5
DO45221 75 years, female, NA, stage:4, dead, 390 days 1537.3
DO45127 73 years, male, NA, stage:3, dead, 420 days 1516.7
DO23549 74 years, male, NA, stage:3, alive, 990 days 1506.9
DO23537 79 years, male, NA, stage:2, dead, 900 days 1502.0
DO23508 79 years, female, NA, stage:2, alive, 390 days 1497.1
DO45269 59 years, male, NA, stage:3, alive, 750 days 1479.5
DO45241 49 years, male, NA, stage:1, alive, 1080 days 1477.8
DO48736 76 years, female, NA, stage:1, alive, 600 days 1455.9
DO45193 68 years, female, NA, stage:4, dead, 120 days 1434.8
DO50809 56 years, male, NA, stage:3, dead, 720 days 1433.5
DO45097 69 years, male, NA, stage:3, alive, 1620 days 1400.1
DO45187 32 years, female, NA, stage:1, alive, 1260 days 1359.7
DO48715 58 years, female, NA, stage:2, dead, 690 days 1336.5
DO50829 78 years, male, NA, stage:3, alive, 570 days 1333.3
DO50813 56 years, male, NA, stage:2, alive, 420 days 1331.7
DO45141 73 years, male, NA, stage:2, alive, 1320 days 1328.1
DO50791 79 years, female, NA, stage:1, dead, 480 days 1311.5
DO45213 58 years, male, NA, stage:1, alive, 1200 days 1310.8
DO48759 73 years, male, NA, stage:3, alive, 720 days 1310.6
DO50859 77 years, male, NA, stage:2, alive, 180 days 1305.3
DO45135 77 years, male, NA, stage:1, alive, 1410 days 1304.1
DO50840 49 years, male, NA, stage:2, alive, 330 days 1290.2
DO23545 67 years, male, NA, stage:2, dead, 570 days 1268.5
DO23525 71 years, male, NA, stage:4, alive, 1050 days 1265.1
DO45179 78 years, female, NA, stage:2, alive, 600 days 1264.7
DO45125 58 years, male, NA, stage:3, alive, 1680 days 1259.6
DO45183 72 years, female, NA, stage:2, dead, 570 days 1255.5
DO50805 72 years, male, NA, stage:2, alive, 690 days 1235.3
DO23546 63 years, male, NA, stage:2, alive, 1050 days 1235.0
DO45095 66 years, male, NA, stage:2, alive, 1620 days 1220.4
DO45203 71 years, female, NA, stage:2, alive, 1170 days 1220.0
DO45275 65 years, male, NA, stage:3, dead, 10 days 1204.7
DO45273 62 years, male, NA, stage:2, alive, 480 days 1192.8
DO45153 77 years, female, NA, stage:2, alive, 1380 days 1185.0
DO45205 67 years, female, NA, stage:2, dead, 90 days 1184.1
DO45257 46 years, male, NA, stage:3, alive, 810 days 1167.4
DO23532 71 years, female, NA, stage:1, alive, 960 days 1166.6
DO50857 72 years, male, NA, stage:2, alive, 210 days 1155.3
DO50817 75 years, male, NA, stage:2, alive, 390 days 1137.9
DO45092 62 years, male, NA, stage:4, dead, 1200 days 1136.9
DO45113 58 years, male, NA, stage:3, alive, 1560 days 1125.8
DO48720 62 years, female, NA, stage:2, alive, 570 days 1121.5
DO45109 63 years, male, NA, stage:2, alive, 1590 days 1119.6
DO50811 62 years, male, NA, stage:1, alive, 450 days 1119.3
DO50802 49 years, male, NA, stage:2, alive, 930 days 1099.7
DO23521 63 years, male, NA, stage:3, alive, 1110 days 1090.1
DO45231 84 years, male, NA, stage:2, alive, 930 days 1086.0
DO45161 74 years, male, NA, stage:2, dead, 540 days 1081.3
DO45243 74 years, female, NA, stage:3, alive, 930 days 1066.2
DO45247 31 years, female, NA, stage:2, alive, 210 days 1064.8
DO48725 66 years, male, NA, stage:1, alive, 780 days 1057.7
DO45281 83 years, male, NA, stage:4, alive, 750 days 1052.2
DO48751 68 years, male, NA, stage:2, dead, 480 days 1049.4
DO45237 58 years, male, NA, stage:2, alive, 900 days 1047.1
DO48681 57 years, male, NA, stage:2, alive, 900 days 1034.4
DO50820 77 years, female, NA, stage:3, alive, 510 days 1025.5
DO50778 60 years, male, NA, stage:4, alive, 630 days 1021.0
DO48700 78 years, female, NA, stage:2, alive, 810 days 1013.1
DO48741 64 years, male, NA, stage:3, alive, 240 days 1007.7
DO45201 49 years, male, NA, stage:1, alive, 900 days 999.6
DO48732 73 years, male, NA, stage:3, alive, 630 days 995.2
DO45165 75 years, male, NA, stage:2, alive, 690 days 993.6
DO23548 78 years, female, NA, stage:1, alive, 840 days 991.5
DO45143 69 years, male, NA, stage:3, alive, 1290 days 986.9
DO45261 74 years, male, NA, stage:3, alive, 990 days 983.0
DO50800 74 years, male, NA, stage:2, alive, 510 days 957.9
DO48727 81 years, female, NA, stage:2, dead, 390 days 955.9
DO23539 77 years, male, NA, stage:1, alive, 1110 days 954.6
DO23514 64 years, male, NA, stage:2, alive, 1290 days 954.4
DO45121 61 years, male, NA, stage:3, alive, 1530 days 950.6
DO23543 63 years, male, NA, stage:2, alive, 1020 days 933.9
DO45139 63 years, male, NA, stage:3, alive, 1320 days 927.7
DO50798 77 years, male, NA, stage:3, dead, 30 days 927.0
DO45255 81 years, male, NA, stage:3, alive, 720 days 881.6
DO45145 78 years, male, NA, stage:3, dead, 60 days 880.0
DO45207 68 years, male, NA, stage:1, alive, 1050 days 868.0
DO50783 62 years, male, NA, stage:3, alive, 480 days 858.5
DO45225 69 years, male, NA, stage:1, alive, 1050 days 856.2
DO23510 80 years, female, NA, stage:2, alive, 870 days 847.8
DO45155 69 years, male, NA, stage:2, alive, 2160 days 847.7
DO50819 72 years, female, NA, stage:2, alive, 510 days 843.5
DO50822 66 years, male, NA, stage:2, alive, 510 days 837.7
DO23542 66 years, male, NA, stage:3, alive, 960 days 832.4
DO45099 46 years, male, NA, stage:3, alive, 1590 days 815.2
DO45157 62 years, male, NA, stage:2, alive, 1980 days 810.1
DO45169 74 years, male, NA, stage:3, alive, 1350 days 806.6
DO48716 71 years, male, NA, stage:2, alive, 720 days 797.6
DO45267 73 years, male, NA, stage:3, dead, 570 days 791.3
DO45263 67 years, male, NA, stage:3, dead, 270 days 790.5
DO23536 56 years, male, NA, stage:2, alive, 930 days 789.3
DO48728 74 years, female, NA, stage:2, alive, 150 days 783.8
DO45215 65 years, male, NA, stage:2, alive, 1170 days 774.8
DO45107 63 years, female, NA, stage:2, alive, 1710 days 767.9
DO48742 76 years, male, NA, stage:2, alive, 600 days 765.0
DO50793 76 years, male, NA, stage:4, alive, 540 days 751.7
DO48679 72 years, male, NA, stage:2, alive, 1200 days 747.5
DO48746 76 years, male, NA, stage:3, alive, 570 days 745.5
DO48706 72 years, male, NA, stage:2, alive, 870 days 745.2
DO45233 83 years, male, NA, stage:3, alive, 900 days 745.0
DO23529 72 years, male, NA, stage:4, alive, 930 days 735.5
DO50787 63 years, male, NA, stage:3, alive, 480 days 728.7
DO45175 74 years, male, NA, stage:2, alive, 1140 days 724.7
DO23527 72 years, male, NA, stage:1, alive, 1050 days 723.4
DO48693 71 years, male, NA, stage:2, alive, 900 days 721.5
DO48677 58 years, male, NA, stage:3, alive, 1140 days 721.5
DO23512 60 years, male, NA, stage:1, alive, 1260 days 713.0
DO45223 67 years, male, NA, stage:4, alive, 1020 days 711.0
DO23524 71 years, female, NA, stage:2, alive, 1050 days 710.3
DO50845 72 years, male, NA, stage:3, alive, 210 days 709.3
DO23535 67 years, male, NA, stage:1, alive, 960 days 708.0
DO45149 70 years, female, NA, stage:2, alive, 1260 days 701.0
DO48723 73 years, male, NA, stage:1, alive, 600 days 700.9
DO45229 74 years, male, NA, stage:1, alive, 990 days 697.4
DO45163 76 years, male, NA, stage:2, alive, 960 days 697.0
DO23533 61 years, male, NA, stage:2, alive, 900 days 689.6
DO48712 50 years, male, NA, stage:2, alive, 810 days 689.5
DO45177 81 years, female, NA, stage:3, alive, 1260 days 687.8
DO48719 80 years, male, NA, stage:2, alive, 690 days 687.6
DO50776 75 years, male, NA, stage:1, alive, 690 days 676.5
DO50839 47 years, female, NA, stage:3, alive, 330 days 676.0
DO45181 84 years, female, NA, stage:2, alive, 1200 days 674.4
DO45119 74 years, male, NA, stage:3, dead, 510 days 674.1
DO45091 56 years, male, NA, stage:2, dead, 1320 days 668.9
DO45117 73 years, female, NA, stage:2, dead, 1110 days 663.5
DO48701 78 years, male, NA, stage:2, alive, 780 days 662.1
DO227801 77 years, female, NA, stage:1, alive, 660 days 644.5
DO48761 55 years, male, NA, stage:2, alive, 870 days 639.7
DO45115 81 years, male, NA, stage:2, alive, 840 days 634.8
DO23538 67 years, male, NA, stage:2, alive, 450 days 629.4
DO50818 65 years, male, NA, stage:2, alive, 510 days 625.5
DO23552 80 years, female, NA, stage:1, alive, 810 days 625.5
DO45159 65 years, male, NA, stage:3, alive, 1470 days 624.1
DO50803 62 years, female, NA, stage:1, alive, 540 days 619.1
DO23517 62 years, male, NA, stage:2, alive, 1200 days 614.2
DO45227 57 years, female, NA, stage:2, alive, 1020 days 612.0
DO50789 73 years, female, NA, stage:2, alive, 570 days 610.4
DO45096 69 years, male, NA, stage:2, dead, 1290 days 609.7
DO45101 63 years, male, NA, stage:2, alive, 1680 days 604.7
DO50808 68 years, male, NA, stage:2, alive, 570 days 586.9
DO23541 65 years, male, NA, stage:2, alive, 930 days 586.2
DO48704 68 years, female, NA, stage:3, alive, 750 days 577.5
DO23518 67 years, male, NA, stage:2, alive, 1320 days 572.8
DO45171 56 years, male, NA, stage:3, alive, 600 days 564.2
DO50774 68 years, female, NA, stage:2, alive, 720 days 553.8
DO45167 67 years, male, NA, stage:2, dead, 1440 days 549.5
DO48674 80 years, male, NA, stage:2, alive, 1260 days 548.5
DO48743 69 years, female, NA, stage:2, alive, 570 days 528.1
DO227643 79 years, male, NA, stage:2, alive, 1260 days 525.4
DO48695 77 years, male, NA, stage:2, alive, 720 days 524.7
DO23531 78 years, female, NA, stage:3, alive, 900 days 521.0
DO45123 78 years, female, NA, stage:2, dead, 570 days 518.5
DO50804 81 years, male, NA, stage:2, alive, 720 days 516.7
DO23544 67 years, male, NA, stage:2, alive, 960 days 515.6
DO50832 73 years, male, NA, stage:3, alive, 90 days 514.2
DO23534 60 years, male, NA, stage:2, alive, 840 days 504.0
DO23550 69 years, male, NA, stage:1, alive, 990 days 501.9
DO23509 60 years, male, NA, stage:3, dead, 780 days 473.3
DO48733 72 years, male, NA, stage:2, alive, 600 days 466.1
DO48672 81 years, male, NA, stage:2, alive, 450 days 463.6
DO45235 68 years, female, NA, stage:1, alive, 900 days 451.7
DO45094 76 years, male, NA, stage:3, alive, 1650 days 449.1
DO50807 67 years, male, NA, stage:1, alive, 540 days 446.0
DO45129 61 years, male, NA, stage:3, alive, 1470 days 444.5
DO23513 76 years, male, NA, stage:3, alive, 1200 days 435.5
DO45137 38 years, male, NA, stage:1, alive, 1320 days 432.5
DO45195 62 years, male, NA, stage:1, alive, 390 days 424.8
DO50850 74 years, male, NA, stage:3, alive, 720 days 419.8
DO48721 58 years, female, NA, stage:1, alive, 900 days 407.7
DO48760 70 years, female, NA, stage:2, alive, 690 days 373.7
DO23551 73 years, male, NA, stage:3, dead, 150 days 350.2
DO45111 74 years, male, NA, stage:2, alive, 1590 days 318.3
DO45197 51 years, male, NA, stage:2, alive, 1170 days 307.1
DO45133 64 years, male, NA, stage:3, dead, 660 days 305.7
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LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples 330
Samples
Sample ID Sample type nRPX
537 Tumor 0.6
557 Tumor 0.5
327 Tumor 0.5
1021 Tumor 0.4
851 Tumor 0.4
1014 Normal 0.4
285 Tumor 0.4
978 Normal 0.4
545 Tumor 0.4
514 Normal 0.4
481 Tumor 0.4
393 Tumor 0.3
113 Tumor 0.3
367 Tumor 0.3
1025 Tumor 0.3
965 Tumor 0.3
523 Tumor 0.3
387 Tumor 0.3
984 Normal 0.3
527 Tumor 0.3
191 Tumor 0.3
533 Tumor 0.3
353 Tumor 0.3
497 Tumor 0.3
528 Normal 0.3
721 Tumor 0.3
937 Tumor 0.3
395 Tumor 0.3
385 Tumor 0.3
524 Normal 0.3
727 Tumor 0.3
864 Normal 0.3
685 Tumor 0.3
912 Normal 0.3
1027 Tumor 0.3
478 Normal 0.3
488 Normal 0.3
944 Normal 0.3
926 Normal 0.3
131 Tumor 0.3
467 Tumor 0.3
723 Tumor 0.3
356 Normal 0.2
824 Normal 0.2
636 Normal 0.2
964 Normal 0.2
195 Tumor 0.2
567 Tumor 0.2
518 Normal 0.2
558 Normal 0.2
982 Normal 0.2
554 Normal 0.2
981 Tumor 0.2
526 Normal 0.2
534 Normal 0.2
852 Normal 0.2
223 Tumor 0.2
661 Tumor 0.2
412 Normal 0.2
756 Normal 0.2
955 Tumor 0.2
983 Tumor 0.2
858 Normal 0.2
777 Tumor 0.2
922 Normal 0.2
482 Normal 0.2
865 Tumor 0.2
517 Tumor 0.2
472 Normal 0.2
968 Normal 0.2
413 Tumor 0.2
267 Tumor 0.2
546 Normal 0.2
135 Tumor 0.2
462 Normal 0.2
573 Tumor 0.2
1016 Normal 0.2
778 Normal 0.2
136 Normal 0.2
331 Tumor 0.2
572 Normal 0.2
866 Normal 0.2
494 Normal 0.2
568 Normal 0.2
218 Normal 0.2
1044 Normal 0.2
525 Tumor 0.2
918 Normal 0.2
1031 Tumor 0.2
484 Normal 0.2
957 Tumor 0.2
815 Tumor 0.2
728 Normal 0.2
966 Normal 0.2
212 Normal 0.2
917 Tumor 0.2
516 Normal 0.2
515 Tumor 0.2
448 Normal 0.2
172 Normal 0.2
553 Tumor 0.2
873 Tumor 0.2
355 Tumor 0.2
745 Tumor 0.2
923 Tumor 0.2
443 Tumor 0.2
785 Tumor 0.2
376 Normal 0.2
222 Normal 0.2
332 Normal 0.2
513 Tumor 0.1
958 Normal 0.1
538 Normal 0.1
352 Normal 0.1
1026 Normal 0.1
368 Normal 0.1
286 Normal 0.1
938 Normal 0.1
493 Tumor 0.1
564 Normal 0.1
715 Tumor 0.1
967 Tumor 0.1
231 Tumor 0.1
862 Normal 0.1
392 Normal 0.1
214 Normal 0.1
617 Tumor 0.1
818 Normal 0.1
951 Tumor 0.1
1042 Normal 0.1
952 Normal 0.1
415 Tumor 0.1
696 Normal 0.1
363 Tumor 0.1
724 Normal 0.1
411 Tumor 0.1
466 Normal 0.1
196 Normal 0.1
314 Normal 0.1
1043 Tumor 0.1
916 Normal 0.1
232 Normal 0.1
416 Normal 0.1
358 Normal 0.1
882 Normal 0.1
474 Normal 0.1
1046 Normal 0.1
162 Normal 0.1
436 Normal 0.1
284 Normal 0.1
1022 Normal 0.1
221 Tumor 0.1
145 Tumor 0.1
364 Normal 0.1
227 Tumor 0.1
786 Normal 0.1
473 Tumor 0.1
698 Normal 0.1
738 Normal 0.1
817 Tumor 0.1
924 Normal 0.1
857 Tumor 0.1
394 Normal 0.1
228 Normal 0.1
943 Tumor 0.1
328 Normal 0.1
128 Normal 0.1
664 Normal 0.1
884 Normal 0.1
648 Normal 0.1
536 Normal 0.1
187 Tumor 0.1
142 Normal 0.1
124 Normal 0.1
861 Tumor 0.1
662 Normal 0.1
1015 Tumor 0.1
211 Tumor 0.1
963 Tumor 0.1
492 Normal 0.1
396 Normal 0.1
414 Normal 0.1
148 Normal 0.1
686 Normal 0.1
954 Normal 0.1
186 Normal 0.1
298 Normal 0.1
535 Tumor 0.1
816 Normal 0.1
388 Normal 0.1
746 Normal 0.1
672 Normal 0.1
114 Normal 0.1
428 Normal 0.1
262 Normal 0.1
471 Tumor 0.1
464 Normal 0.1
697 Tumor 0.1
431 Tumor 0.1
213 Tumor 0.1
976 Normal 0.1
258 Normal 0.1
391 Tumor 0.1
451 Tumor 0.1
755 Tumor 0.1
272 Normal 0.1
446 Normal 0.1
344 Normal 0.1
953 Tumor 0.0
1028 Normal 0.0
224 Normal 0.0
362 Normal 0.0
112 Tumor 0.0
257 Tumor 0.0
915 Tumor 0.0
424 Normal 0.0
217 Tumor 0.0
868 Normal 0.0
434 Normal 0.0
1032 Normal 0.0
616 Normal 0.0
483 Tumor 0.0
426 Normal 0.0
714 Normal 0.0
878 Normal 0.0
342 Normal 0.0
628 Normal 0.0
956 Normal 0.0
422 Normal 0.0
743 Tumor 0.0
463 Tumor 0.0
384 Normal 0.0
716 Normal 0.0
111 Normal 0.0
312 Normal 0.0
823 Tumor 0.0
975 Tumor 0.0
365 Tumor 0.0
563 Tumor 0.0
354 Normal 0.0
447 Tumor 0.0
427 Tumor 0.0
487 Tumor 0.0
921 Tumor 0.0
913 Tumor 0.0
925 Tumor 0.0
261 Tumor 0.0
647 Tumor 0.0
375 Tumor 0.0
132 Normal 0.0
571 Tumor 0.0
737 Tumor 0.0
351 Tumor 0.0
432 Normal 0.0
695 Tumor 0.0
874 Normal 0.0
366 Normal 0.0
268 Normal 0.0
742 Normal 0.0
138 Normal 0.0
147 Tumor 0.0
665 Tumor 0.0
867 Tumor 0.0
722 Normal 0.0
455 Tumor 0.0
618 Normal 0.0
188 Normal 0.0
574 Normal 0.0
123 Tumor 0.0
445 Tumor 0.0
137 Tumor 0.0
171 Tumor 0.0
386 Normal 0.0
126 Normal 0.0
863 Tumor 0.0
127 Tumor 0.0
456 Normal 0.0
468 Normal 0.0
435 Tumor 0.0
271 Tumor 0.0
498 Normal 0.0
615 Tumor 0.0
425 Tumor 0.0
666 Normal 0.0
1041 Tumor 0.0
713 Tumor 0.0
452 Normal 0.0
185 Tumor -0.1
461 Tumor -0.1
1013 Tumor -0.1
278 Normal -0.1
361 Tumor -0.1
977 Tumor -0.1
814 Normal -0.1
465 Tumor -0.1
161 Tumor -0.1
635 Tumor -0.1
283 Tumor -0.1
477 Tumor -0.1
146 Normal -0.1
297 Tumor -0.1
433 Tumor -0.1
421 Tumor -0.1
883 Tumor -0.1
881 Tumor -0.1
423 Tumor -0.1
141 Tumor -0.1
663 Tumor -0.1
192 Normal -0.1
341 Tumor -0.1
444 Normal -0.1
357 Tumor -0.1
277 Tumor -0.1
311 Tumor -0.1
343 Tumor -0.1
642 Normal -0.1
1045 Tumor -0.2
671 Tumor -0.2
744 Normal -0.2
914 Normal -0.2
313 Tumor -0.2
125 Tumor -0.2
911 Tumor -0.2
641 Tumor -0.2
813 Tumor -0.2
627 Tumor -0.2
383 Tumor -0.2
491 Tumor -0.3
877 Tumor -0.4
741 Tumor -0.4
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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