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  • SUMMARY

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  • SPINK1
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
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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.

SPINK1 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.

: 131.97
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 1523.3
Number of samples 362
Samples
Sample Description pTPM
TCGA-CC-5259-01A 60 years, female, asian, stage:Stage IIIC, alive, 250 days 15953.0
TCGA-DD-AADQ-01A 59 years, male, asian, stage:Stage II, alive, 436 days 15361.1
TCGA-DD-A3A3-01A 45 years, male, asian, stage:Stage I, dead, 535 days 14603.0
TCGA-DD-AAED-01A 51 years, male, asian, stage:Stage I, alive, 763 days 13389.4
TCGA-KR-A7K7-01A 61 years, female, white, stage:Stage II, alive, 951 days 11849.7
TCGA-CC-A9FW-01A 68 years, male, asian, stage:Stage IIIA, alive, 248 days 10328.6
TCGA-G3-A3CG-01A 80 years, male, white, stage:Stage I, alive, 673 days 10084.3
TCGA-ZP-A9D1-01A 56 years, female, white, stage:'--, alive, 21 days 9778.4
TCGA-DD-AAD2-01A 66 years, male, asian, stage:Stage I, alive, 658 days 8954.9
TCGA-2Y-A9HB-01A 66 years, male, stage:Stage I, alive, 260 days 8772.0
TCGA-PD-A5DF-01A 58 years, female, white, stage:Stage IIIB, dead, 639 days 8718.1
TCGA-BC-A216-01A 62 years, female, white, stage:Stage IIIA, alive, 1351 days 8599.9
TCGA-DD-AAEG-01A 59 years, female, asian, stage:Stage I, alive, 719 days 7437.1
TCGA-DD-AADC-01A 53 years, male, asian, stage:Stage I, dead, 425 days 7436.7
TCGA-DD-AACI-01A 69 years, male, asian, stage:Stage II, alive, 1618 days 7303.8
TCGA-DD-AADK-01A 68 years, female, asian, stage:Stage II, alive, 1049 days 7001.4
TCGA-5C-A9VH-01A 70 years, male, white, stage:Stage I, alive, 322 days 6902.7
TCGA-WQ-AB4B-01A 62 years, male, white, stage:Stage II, alive, 395 days 6679.0
TCGA-DD-A1EC-01A 20 years, female, white, stage:Stage I, alive, 602 days 6525.5
TCGA-DD-A4NH-01A 65 years, female, white, stage:Stage IIIB, alive, 917 days 6360.1
TCGA-G3-A25S-01A 64 years, male, white, stage:Stage I, dead, 416 days 6279.0
TCGA-DD-AACG-01A 52 years, male, asian, stage:Stage II, dead, 469 days 6234.2
TCGA-DD-A39Z-01A 43 years, female, stage:Stage II, dead, 601 days 6099.7
TCGA-DD-AAVV-01A 56 years, male, asian, stage:Stage II, alive, 2455 days 6081.1
TCGA-DD-A39W-01A 29 years, female, white, stage:Stage III, dead, 827 days 6046.2
TCGA-DD-AACT-01A 69 years, female, asian, stage:Stage I, alive, 1562 days 5957.4
TCGA-FV-A2QQ-01A 80 years, male, white, stage:Stage I, alive, 729 days 5957.1
TCGA-DD-AAVZ-01A 38 years, male, asian, stage:Stage I, alive, 1900 days 5924.6
TCGA-RC-A6M6-01A 75 years, male, white, stage:Stage II, alive, 9 days 5824.9
TCGA-BD-A3EP-01A 75 years, female, black or african american, stage:Stage I, alive, 409 days 5818.2
TCGA-DD-A3A7-01A 67 years, male, stage:Stage IIIB, dead, 419 days 5689.1
TCGA-DD-AADO-01A 55 years, male, asian, stage:Stage I, alive, 453 days 5663.3
TCGA-DD-AADJ-01A 70 years, female, asian, stage:Stage I, alive, 1066 days 5268.7
TCGA-DD-A1EG-01A 76 years, male, white, stage:Stage I, dead, 1372 days 5177.5
TCGA-DD-A1EI-01A 46 years, male, asian, stage:Stage I, alive, 183 days 5077.0
TCGA-DD-AACP-01A 64 years, male, asian, stage:Stage I, alive, 415 days 5046.1
TCGA-DD-A39V-01A 77 years, male, white, stage:Stage II, dead, 643 days 5035.7
TCGA-DD-AACH-01A 69 years, male, asian, stage:Stage II, dead, 195 days 4813.0
TCGA-ZP-A9CV-01A 59 years, male, white, stage:'--, dead, 1088 days 4812.1
TCGA-CC-A7II-01A 54 years, male, asian, stage:Stage IIIA, alive, 399 days 4731.6
TCGA-DD-AACL-01A 66 years, female, asian, stage:Stage I, dead, 107 days 4529.9
TCGA-UB-A7MA-01A 62 years, female, white, stage:Stage II, alive, 848 days 4255.2
TCGA-DD-A4NR-01A 85 years, female, white, stage:Stage I, dead, 9 days 3900.6
TCGA-2Y-A9GW-01A 64 years, male, white, stage:Stage I, dead, 1271 days 3859.1
TCGA-CC-5264-01A 71 years, male, asian, stage:Stage IIIA, dead, 102 days 3834.0
TCGA-EP-A3JL-01A 76 years, male, white, stage:Stage I, alive, 303 days 3810.4
TCGA-EP-A3RK-01A 73 years, male, white, stage:Stage IIIA, alive, 363 days 3763.6
TCGA-2Y-A9H1-01A 58 years, male, white, stage:Stage I, dead, 1229 days 3587.5
TCGA-CC-5263-01A 35 years, male, asian, stage:Stage IIIA, dead, 129 days 3494.7
TCGA-DD-A4NA-01A 67 years, female, white, stage:Stage IIIC, alive, 1008 days 3454.5
TCGA-HP-A5N0-01A 90 years, female, stage:'--, dead, 752 days 3394.4
TCGA-LG-A9QD-01A 68 years, male, white, stage:Stage IIIA, alive, 366 days 3171.9
TCGA-CC-A1HT-01A 50 years, male, asian, stage:Stage IIIA, dead, 101 days 3167.0
TCGA-DD-AAC9-01A 51 years, male, asian, stage:Stage I, alive, 347 days 3111.5
TCGA-EP-A2KA-01A 52 years, female, white, stage:Stage IIIA, dead, 627 days 3105.1
TCGA-G3-AAV0-01A 58 years, male, asian, stage:Stage I, alive, 476 days 2968.1
TCGA-2Y-A9H5-01A 59 years, female, white, stage:Stage I, dead, 555 days 2964.6
TCGA-GJ-A3OU-01A 59 years, male, white, stage:Stage I, alive, 879 days 2950.6
TCGA-DD-A4NL-01A 46 years, male, white, stage:Stage I, alive, 1711 days 2944.9
TCGA-DD-AADP-01A 45 years, male, asian, stage:Stage I, alive, 458 days 2932.7
TCGA-MI-A75I-01A 61 years, male, black or african american, stage:'--, alive, 630 days 2931.0
TCGA-K7-AAU7-01A 61 years, male, white, stage:Stage II, alive, 359 days 2926.3
TCGA-CC-A8HT-01A 74 years, male, asian, stage:Stage IIIA, dead, 140 days 2894.4
TCGA-DD-A4NQ-01A 60 years, male, white, stage:Stage II, dead, 373 days 2852.0
TCGA-2Y-A9H7-01A 81 years, female, white, stage:Stage I, alive, 1168 days 2838.6
TCGA-CC-A3MB-01A 36 years, male, asian, stage:Stage IIIA, dead, 315 days 2807.4
TCGA-G3-AAV6-01A 53 years, female, white, stage:Stage IIIA, dead, 65 days 2806.3
TCGA-ZS-A9CD-01A 73 years, male, white, stage:Stage II, dead, 1386 days 2781.7
TCGA-G3-A5SJ-01A 59 years, male, white, stage:Stage I, alive, 698 days 2753.0
TCGA-HP-A5MZ-01A 78 years, male, stage:Stage I, dead, 91 days 2749.6
TCGA-DD-AACK-01A 70 years, male, asian, stage:Stage I, alive, 9 days 2724.8
TCGA-BC-A10S-01A 81 years, male, white, stage:'--, dead, 1423 days 2677.0
TCGA-DD-AADM-01A 58 years, male, asian, stage:Stage II, dead, 12 days 2630.8
TCGA-DD-AACZ-01A 63 years, female, asian, stage:Stage I, dead, 171 days 2609.8
TCGA-G3-A25X-01A 73 years, male, asian, stage:Stage II, alive, 1779 days 2588.3
TCGA-CC-5262-01A 67 years, male, asian, stage:Stage IIIC, dead, 103 days 2525.8
TCGA-DD-AACD-01A 48 years, male, asian, stage:Stage I, dead, 381 days 2516.6
TCGA-BD-A3ER-01A 62 years, male, white, stage:Stage II, alive, 1115 days 2502.5
TCGA-BC-A10W-01A 50 years, male, asian, stage:'--, dead, 91 days 2470.7
TCGA-KR-A7K2-01A 64 years, male, white, stage:Stage I, alive, 829 days 2463.6
TCGA-BC-A10U-01A 69 years, male, white, stage:'--, dead, 837 days 2400.5
TCGA-DD-AADI-01A 43 years, female, asian, stage:Stage I, alive, 1085 days 2395.9
TCGA-BC-A112-01A 80 years, male, white, stage:'--, dead, 153 days 2381.8
TCGA-XR-A8TG-01A 58 years, male, white, stage:Stage I, alive, 898 days 2258.6
TCGA-DD-A4ND-01A 56 years, female, white, stage:Stage I, alive, 2746 days 2249.0
TCGA-DD-AACO-01A 40 years, male, asian, stage:Stage I, alive, 1876 days 2211.4
TCGA-FV-A3I1-01A 81 years, female, white, stage:Stage II, dead, 247 days 2149.5
TCGA-BC-A69H-01A 64 years, male, white, stage:Stage II, alive, 444 days 2054.8
TCGA-DD-AACB-01A 74 years, female, asian, stage:Stage I, alive, 2324 days 1990.3
TCGA-DD-AADY-01A 55 years, female, asian, stage:Stage I, alive, 555 days 1933.1
TCGA-CC-A123-01A 24 years, female, asian, stage:Stage IIIA, alive, 219 days 1927.9
TCGA-DD-A39Y-01A 67 years, male, asian, stage:Stage I, dead, 171 days 1885.9
TCGA-GJ-A9DB-01A 68 years, male, white, stage:Stage I, dead, 67 days 1853.9
TCGA-ED-A7XP-01A 53 years, female, asian, stage:Stage II, alive, 400 days 1843.5
TCGA-XR-A8TF-01A 74 years, male, white, stage:Stage I, dead, 693 days 1821.0
TCGA-CC-A5UC-01A 63 years, male, asian, stage:Stage IIIA, dead, 347 days 1799.2
TCGA-ED-A7PZ-01A 61 years, male, asian, stage:Stage II, alive, 6 days 1775.9
TCGA-DD-AACY-01A 61 years, male, asian, stage:Stage I, alive, 1450 days 1733.9
TCGA-DD-AAEE-01A 55 years, male, asian, stage:Stage I, alive, 810 days 1700.5
TCGA-ED-A7PX-01A 48 years, female, asian, stage:Stage II, alive, 6 days 1677.5
TCGA-BC-A3KG-01A 68 years, female, white, stage:Stage II, alive, 680 days 1647.2
TCGA-O8-A75V-01A 54 years, male, stage:Stage I, alive, 538 days 1640.8
TCGA-CC-5258-01A 48 years, male, asian, stage:Stage II, dead, 129 days 1589.8
TCGA-ED-A8O6-01A 50 years, female, asian, stage:Stage IIIA, dead, 56 days 1574.0
TCGA-DD-AAD1-01A 51 years, female, asian, stage:Stage I, alive, 564 days 1524.1
TCGA-RC-A7S9-01A 47 years, female, asian, stage:Stage I, alive, 640 days 1506.8
TCGA-DD-A1ED-01A 68 years, male, white, stage:Stage I, alive, 2301 days 1497.0
TCGA-DD-AAVQ-01A 38 years, male, asian, stage:Stage I, alive, 2728 days 1452.8
TCGA-G3-A7M9-01A 70 years, male, white, stage:Stage IIIB, dead, 56 days 1440.7
TCGA-CC-A8HV-01A 51 years, female, asian, stage:Stage II, dead, 279 days 1435.6
TCGA-ZP-A9CY-01A 66 years, female, white, stage:'--, alive, 782 days 1416.8
TCGA-DD-A73F-01A 77 years, female, white, stage:Stage I, alive, 1085 days 1416.7
TCGA-FV-A4ZP-01A 78 years, male, white, stage:Stage IIIA, dead, 2486 days 1399.6
TCGA-ES-A2HT-01A 54 years, male, black or african american, stage:Stage I, dead, 438 days 1380.3
TCGA-DD-AAE0-01A 45 years, female, asian, stage:Stage IIIA, alive, 555 days 1371.6
TCGA-GJ-A6C0-01A 75 years, female, white, stage:Stage II, dead, 31 days 1323.6
TCGA-DD-A114-01A 42 years, male, black or african american, stage:Stage II, dead, 1149 days 1303.8
TCGA-WX-AA44-01A 64 years, female, white, stage:Stage I, alive, 615 days 1253.1
TCGA-UB-A7MC-01A 59 years, male, white, stage:Stage IIIA, alive, 500 days 1242.2
TCGA-G3-AAV7-01A 38 years, male, asian, stage:Stage II, alive, 361 days 1241.8
TCGA-2Y-A9H0-01A 49 years, male, white, stage:Stage IIIA, alive, 3675 days 1220.2
TCGA-G3-A5SM-01A 58 years, male, white, stage:Stage II, alive, 520 days 1212.2
TCGA-DD-A3A1-01A 65 years, male, stage:Stage IIIA, dead, 233 days 1209.9
TCGA-UB-A7MD-01A 67 years, male, black or african american, stage:Stage I, dead, 52 days 1163.2
TCGA-K7-A6G5-01A 66 years, male, white, stage:Stage I, alive, 512 days 1159.5
TCGA-DD-A73G-01A 73 years, female, white, stage:Stage I, alive, 3478 days 1141.4
TCGA-WX-AA47-01A 33 years, female, white, stage:Stage IIIA, dead, 556 days 1121.5
TCGA-DD-A4NE-01A 75 years, female, white, stage:Stage IIIA, dead, 660 days 1099.3
TCGA-FV-A496-01A 84 years, female, white, stage:Stage I, alive, 10 days 1072.1
TCGA-FV-A495-01A 51 years, female, white, stage:Stage II, alive, 1 days 1063.8
TCGA-CC-A7IG-01A 47 years, male, asian, stage:Stage II, dead, 299 days 1023.0
TCGA-DD-A4NN-01A 56 years, female, white, stage:Stage I, dead, 899 days 993.3
TCGA-DD-A113-01A 55 years, female, white, stage:Stage II, alive, 2425 days 991.0
TCGA-BC-A5W4-01A 69 years, male, white, stage:Stage IIIA, dead, 547 days 973.9
TCGA-G3-A7M7-01A 65 years, male, white, stage:Stage I, alive, 361 days 973.8
TCGA-DD-A4NP-01A 32 years, male, white, stage:Stage I, alive, 3308 days 963.2
TCGA-LG-A6GG-01A 79 years, female, white, stage:Stage II, alive, 387 days 957.7
TCGA-T1-A6J8-01A 68 years, male, white, stage:'--, alive, 23 days 940.8
TCGA-DD-AACU-01A 59 years, male, asian, stage:Stage I, alive, 1567 days 935.7
TCGA-DD-AAE7-01A 72 years, male, asian, stage:Stage I, alive, 644 days 929.1
TCGA-ED-A66X-01A 35 years, male, asian, stage:Stage IIIA, alive, 406 days 927.9
TCGA-DD-A1EL-01A 23 years, male, black or african american, stage:Stage II, dead, 415 days 920.4
TCGA-DD-AAVX-01A 38 years, male, asian, stage:Stage II, alive, 1718 days 874.8
TCGA-DD-AAD3-01A 43 years, male, asian, stage:Stage I, alive, 1295 days 857.5
TCGA-2Y-A9GV-01A 54 years, female, white, stage:Stage I, dead, 2532 days 848.0
TCGA-CC-A3MC-01A 54 years, male, asian, stage:Stage IIIA, alive, 363 days 840.4
TCGA-DD-AADR-01A 58 years, male, asian, stage:Stage I, alive, 2028 days 829.4
TCGA-DD-AAD8-01A 73 years, female, asian, stage:Stage I, alive, 1219 days 792.1
TCGA-ED-A97K-01A 54 years, male, asian, stage:Stage IIIA, alive, 6 days 760.4
TCGA-DD-A1EK-01A 64 years, female, white, stage:Stage IVB, dead, 558 days 731.1
TCGA-DD-AAW0-01A 54 years, male, asian, stage:Stage I, alive, 2015 days 716.7
TCGA-DD-AACF-01A 68 years, male, asian, stage:Stage I, dead, 365 days 703.7
TCGA-RC-A7SF-01A 66 years, male, asian, stage:Stage I, alive, 579 days 696.0
TCGA-4R-AA8I-01A 66 years, male, white, stage:Stage II, dead, 262 days 688.3
TCGA-DD-AADL-01A 58 years, male, asian, stage:Stage I, alive, 636 days 675.0
TCGA-CC-5261-01A 44 years, male, asian, stage:Stage II, dead, 97 days 615.7
TCGA-DD-AADN-01A 59 years, male, asian, stage:Stage I, alive, 898 days 610.2
TCGA-ZP-A9CZ-01A 72 years, male, asian, stage:'--, alive, 706 days 609.7
TCGA-2Y-A9H8-01A 85 years, female, white, stage:'--, dead, 633 days 599.9
TCGA-UB-AA0U-01A 60 years, male, white, stage:Stage II, alive, 327 days 597.4
TCGA-5C-AAPD-01A 61 years, male, asian, stage:Stage II, alive, 20 days 584.6
TCGA-DD-AADB-01A 51 years, male, asian, stage:Stage I, alive, 1242 days 576.7
TCGA-DD-AACQ-01A 50 years, male, asian, stage:Stage II, dead, 432 days 564.6
TCGA-ED-A5KG-01A 60 years, female, asian, stage:Stage II, alive, 854 days 525.1
TCGA-FV-A4ZQ-01A 52 years, male, white, stage:Stage I, alive, 12 days 521.9
TCGA-DD-A1EE-01A 73 years, male, white, stage:Stage IIIA, dead, 349 days 520.8
TCGA-G3-A25V-01A 68 years, male, white, stage:Stage I, alive, 860 days 516.6
TCGA-G3-A25Y-01A 52 years, female, asian, stage:Stage I, dead, 452 days 506.6
TCGA-DD-A115-01A 53 years, male, white, stage:Stage IIIA, dead, 2542 days 466.1
TCGA-BD-A2L6-01A 69 years, male, white, stage:'--, alive, 1363 days 453.6
TCGA-CC-A8HS-01A 18 years, male, asian, stage:Stage IIIC, dead, 300 days 453.1
TCGA-DD-A4NS-01A 61 years, female, white, stage:Stage I, dead, 2456 days 440.8
TCGA-YA-A8S7-01A 68 years, male, white, stage:Stage IIIA, dead, 412 days 429.5
TCGA-K7-A5RG-01A 66 years, male, black or african american, stage:Stage I, alive, 519 days 399.0
TCGA-DD-AADD-01A 51 years, male, asian, stage:Stage I, alive, 1231 days 367.0
TCGA-ZP-A9D2-01A 51 years, male, white, stage:'--, dead, 765 days 364.5
TCGA-KR-A7K0-01A 65 years, male, white, stage:Stage I, dead, 65 days 359.2
TCGA-CC-A5UE-01A 48 years, male, asian, stage:Stage IIIB, dead, 272 days 355.5
TCGA-BW-A5NO-01A 50 years, male, black or african american, stage:Stage IIIA, alive, 20 days 354.0
TCGA-DD-A1EJ-01A 71 years, female, white, stage:Stage IIIC, dead, 1005 days 322.0
TCGA-2Y-A9HA-01A 70 years, male, white, stage:Stage II, dead, 36 days 319.6
TCGA-DD-AAW3-01A 69 years, male, asian, stage:Stage I, alive, 1633 days 313.9
TCGA-MI-A75E-01A 61 years, male, white, stage:Stage IIIC, alive, 507 days 305.1
TCGA-DD-AAD5-01A 54 years, male, asian, stage:Stage I, alive, 1345 days 292.6
TCGA-2Y-A9GS-01A 58 years, male, white, stage:'--, dead, 724 days 291.2
TCGA-BC-A10R-01A 66 years, female, white, stage:'--, dead, 308 days 289.0
TCGA-UB-A7MB-01A 24 years, male, white, stage:Stage II, alive, 601 days 286.3
TCGA-BC-A217-01A 75 years, female, white, stage:Stage II, dead, 1397 days 280.5
TCGA-DD-AAVP-01A 48 years, male, asian, stage:Stage I, alive, 2752 days 280.2
TCGA-BC-A10T-01A 76 years, male, white, stage:'--, dead, 837 days 271.7
TCGA-2Y-A9H3-01A 45 years, male, white, stage:Stage II, alive, 1516 days 269.3
TCGA-QA-A7B7-01A 48 years, male, black or african american, stage:Stage II, alive, 94 days 247.4
TCGA-DD-AAE1-01A 52 years, male, asian, stage:Stage I, alive, 552 days 237.0
TCGA-BC-A10X-01A 52 years, female, white, stage:Stage IIIA, dead, 770 days 236.8
TCGA-DD-A11D-01A 57 years, female, white, stage:Stage I, dead, 1560 days 226.8
TCGA-ED-A459-01A 47 years, male, asian, stage:Stage II, alive, 910 days 222.5
TCGA-3K-AAZ8-01A 65 years, male, black or african american, stage:Stage IIIB, alive, 396 days 211.5
TCGA-DD-AACS-01A 39 years, male, asian, stage:Stage I, alive, 1804 days 209.7
TCGA-BC-A110-01A 51 years, female, black or african american, stage:'--, dead, 2116 days 199.9
TCGA-FV-A2QR-01A 75 years, male, white, stage:Stage I, dead, 581 days 197.8
TCGA-2Y-A9H9-01A 70 years, male, white, stage:Stage I, alive, 697 days 192.0
TCGA-DD-AADA-01A 66 years, female, asian, stage:Stage I, alive, 1233 days 188.0
TCGA-DD-A73A-01A 71 years, male, white, stage:Stage I, alive, 728 days 181.5
TCGA-2Y-A9GZ-01A 82 years, female, white, stage:Stage II, dead, 848 days 179.4
TCGA-FV-A3I0-01A 76 years, female, white, stage:Stage II, alive, 848 days 169.9
TCGA-DD-A119-01A 40 years, male, asian, stage:Stage IV, dead, 223 days 168.6
TCGA-G3-A25Z-01A 58 years, male, asian, stage:Stage I, alive, 655 days 165.7
TCGA-MI-A75C-01A 64 years, male, white, stage:Stage I, alive, 291 days 151.2
TCGA-FV-A3R2-01A 75 years, male, white, stage:Stage I, dead, 194 days 137.2
TCGA-DD-A4NO-01A 65 years, male, white, stage:Stage I, alive, 2245 days 134.8
TCGA-2Y-A9GY-01A 64 years, female, white, stage:Stage II, dead, 757 days 133.7
TCGA-5R-AAAM-01A 65 years, female, white, stage:Stage II, dead, 46 days 133.0
TCGA-RC-A7SH-01A 42 years, male, asian, stage:Stage II, alive, 468 days 130.9
TCGA-2Y-A9GX-01A 68 years, male, white, stage:Stage I, alive, 2442 days 130.4
TCGA-DD-AAD0-01A 73 years, female, asian, stage:Stage I, alive, 137 days 127.6
TCGA-FV-A23B-01A 70 years, female, white, stage:Stage II, dead, 1852 days 120.9
TCGA-G3-A5SI-01A 44 years, male, asian, stage:Stage II, dead, 768 days 115.1
TCGA-DD-AAE2-01A 51 years, male, asian, stage:Stage I, alive, 638 days 112.1
TCGA-ZP-A9D0-01A 67 years, female, black or african american, stage:'--, alive, 1091 days 106.3
TCGA-G3-A3CK-01A 61 years, male, asian, stage:Stage I, alive, 585 days 103.5
TCGA-MI-A75G-01A 63 years, male, white, stage:Stage II, alive, 698 days 102.3
TCGA-DD-AAE9-01A 69 years, male, asian, stage:Stage I, alive, 722 days 94.7
TCGA-G3-A25T-01A 45 years, female, white, stage:Stage IIIA, alive, 1553 days 94.7
TCGA-2Y-A9H4-01A 68 years, male, black or african american, stage:Stage I, alive, 1452 days 92.3
TCGA-MR-A520-01A 58 years, male, white, stage:Stage I, alive, 229 days 80.2
TCGA-KR-A7K8-01A 57 years, male, stage:Stage I, alive, 906 days 74.8
TCGA-RG-A7D4-01A 69 years, male, black or african american, stage:Stage II, alive, 1098 days 73.1
TCGA-WQ-A9G7-01A 71 years, female, white, stage:'--, alive, 30 days 72.1
TCGA-XR-A8TD-01A 49 years, female, white, stage:Stage IIIB, alive, 1030 days 69.8
TCGA-ZS-A9CE-01A 79 years, female, white, stage:Stage II, alive, 1241 days 69.5
TCGA-5C-A9VG-01A 58 years, male, white, stage:Stage II, alive, 328 days 66.0
TCGA-2Y-A9H6-01A 68 years, female, white, stage:Stage I, alive, 357 days 61.5
TCGA-EP-A2KC-01A 62 years, male, black or african american, stage:Stage I, dead, 19 days 60.2
TCGA-ED-A66Y-01A 51 years, female, asian, stage:Stage IIIA, dead, 296 days 59.3
TCGA-RC-A7SB-01A 53 years, male, asian, stage:Stage II, alive, 588 days 57.9
TCGA-BC-A69I-01A 69 years, male, white, stage:Stage I, alive, 387 days 57.9
TCGA-5R-AA1D-01A 17 years, female, white, stage:Stage IIIA, alive, 449 days 56.2
TCGA-ED-A4XI-01A 58 years, male, asian, stage:Stage II, alive, 819 days 53.0
TCGA-DD-AACC-01A 61 years, male, asian, stage:Stage I, dead, 1685 days 49.5
TCGA-DD-AA3A-01A 81 years, female, white, stage:Stage I, dead, 410 days 48.6
TCGA-G3-A5SK-01A 58 years, male, white, stage:Stage I, alive, 744 days 46.9
TCGA-UB-A7ME-01A 51 years, male, asian, stage:Stage I, alive, 486 days 45.3
TCGA-DD-A4NG-01A 77 years, male, white, stage:Stage IIIA, dead, 802 days 42.7
TCGA-DD-AADV-01A 50 years, male, asian, stage:Stage I, alive, 574 days 41.9
TCGA-G3-A3CJ-01A 52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days 41.1
TCGA-CC-A9FS-01A 55 years, male, asian, stage:Stage II, alive, 211 days 41.0
TCGA-DD-AAVR-01A 44 years, male, asian, stage:Stage I, alive, 2513 days 41.0
TCGA-ED-A7PY-01A 20 years, female, asian, stage:Stage II, alive, 390 days 40.2
TCGA-DD-AADF-01A 64 years, female, asian, stage:Stage I, dead, 115 days 40.2
TCGA-BC-A10Q-01A 72 years, female, white, stage:'--, dead, 1135 days 39.0
TCGA-BC-A3KF-01A 66 years, female, white, stage:Stage I, alive, 8 days 38.2
TCGA-DD-A116-01A 68 years, male, asian, stage:Stage IIIA, dead, 1622 days 36.1
TCGA-DD-AAVS-01A 56 years, male, asian, stage:Stage I, alive, 1823 days 33.7
TCGA-ZP-A9D4-01A 64 years, female, white, stage:'--, alive, 395 days 33.5
TCGA-K7-A5RF-01A 64 years, male, white, stage:Stage I, alive, 631 days 32.6
TCGA-2Y-A9H2-01A 64 years, female, white, stage:Stage I, alive, 1731 days 32.3
TCGA-WJ-A86L-01A 68 years, female, white, stage:Stage I, alive, 345 days 31.7
TCGA-DD-A1EH-01A 23 years, male, white, stage:Stage III, alive, 1495 days 30.3
TCGA-ED-A627-01A 74 years, male, white, stage:Stage I, alive, 423 days 30.2
TCGA-CC-A7IH-01A 58 years, male, asian, stage:Stage IIIA, alive, 365 days 25.8
TCGA-CC-A7IE-01A 57 years, male, asian, stage:Stage IIIA, dead, 217 days 23.8
TCGA-DD-AAE4-01A 49 years, female, asian, stage:Stage I, alive, 608 days 21.6
TCGA-LG-A9QC-01A 48 years, male, white, stage:Stage I, alive, 425 days 21.0
TCGA-DD-A4NK-01A 80 years, female, white, stage:Stage IIIA, dead, 1210 days 19.0
TCGA-ED-A7XO-01A 29 years, male, asian, stage:Stage IIIA, alive, 427 days 18.8
TCGA-DD-AADW-01A 48 years, male, asian, stage:Stage I, alive, 587 days 17.5
TCGA-CC-5260-01A 61 years, female, asian, stage:Stage IIIC, dead, 87 days 17.0
TCGA-DD-A1EF-01A 57 years, female, white, stage:Stage I, dead, 394 days 17.0
TCGA-MR-A8JO-01A 34 years, male, white, stage:Stage I, alive, 330 days 16.2
TCGA-RC-A6M5-01A 20 years, female, white, stage:Stage IVA, alive, 15 days 14.2
TCGA-FV-A3R3-01A 38 years, female, white, stage:Stage I, dead, 366 days 13.9
TCGA-DD-AAE6-01A 59 years, female, asian, stage:Stage I, alive, 141 days 13.3
TCGA-DD-AAEA-01A 65 years, male, asian, stage:Stage I, alive, 575 days 12.9
TCGA-DD-AAVW-01A 35 years, male, asian, stage:Stage I, alive, 2317 days 12.9
TCGA-G3-A3CI-01A 71 years, male, white, stage:Stage I, alive, 180 days 11.9
TCGA-DD-A73E-01A 66 years, male, white, stage:Stage I, alive, 44 days 11.8
TCGA-DD-AAEH-01A 73 years, male, asian, stage:Stage I, alive, 784 days 10.5
TCGA-DD-A4NJ-01A 54 years, female, white, stage:Stage II, alive, 928 days 10.1
TCGA-G3-AAV3-01A 58 years, female, white, stage:Stage II, alive, 412 days 9.8
TCGA-UB-AA0V-01A 69 years, female, white, stage:Stage I, alive, 314 days 9.8
TCGA-BC-A8YO-01A 66 years, female, white, stage:Stage IIIC, alive, 562 days 9.7
TCGA-DD-AAE3-01A 50 years, male, asian, stage:Stage I, alive, 566 days 9.5
TCGA-RC-A7SK-01A 59 years, male, asian, stage:Stage I, alive, 472 days 8.8
TCGA-G3-A7M5-01A 76 years, male, asian, stage:Stage I, alive, 447 days 8.8
TCGA-RC-A6M4-01A 74 years, female, white, stage:Stage IIIA, alive, 22 days 8.6
TCGA-CC-A5UD-01A 45 years, male, asian, stage:Stage IIIA, dead, 304 days 8.5
TCGA-DD-AAW1-01A 55 years, male, asian, stage:Stage IIIA, alive, 1989 days 8.5
TCGA-2Y-A9GU-01A 55 years, female, white, stage:Stage I, alive, 1939 days 8.5
TCGA-XR-A8TE-01A 16 years, male, white, stage:Stage IIIA, alive, 925 days 7.6
TCGA-UB-A7MF-01A 56 years, male, white, stage:Stage IIIA, dead, 214 days 7.4
TCGA-EP-A2KB-01A 46 years, female, white, stage:Stage I, dead, 596 days 7.3
TCGA-G3-A7M6-01A 60 years, female, white, stage:Stage I, alive, 632 days 7.1
TCGA-DD-AACN-01A 32 years, male, asian, stage:Stage I, alive, 1302 days 7.0
TCGA-2Y-A9GT-01A 51 years, male, white, stage:Stage I, dead, 1624 days 7.0
TCGA-DD-AAVU-01A 46 years, male, asian, stage:Stage II, alive, 2202 days 6.8
TCGA-ZS-A9CF-01A 64 years, male, white, stage:Stage II, alive, 2412 days 6.7
TCGA-DD-AAEB-01A 60 years, male, asian, stage:Stage I, alive, 478 days 6.6
TCGA-5R-AA1C-01A 57 years, male, white, stage:Stage II, alive, 520 days 6.3
TCGA-DD-A11C-01A 69 years, male, white, stage:Stage I, alive, 662 days 6.2
TCGA-DD-A1EA-01A 68 years, male, asian, stage:Stage II, alive, 2415 days 6.2
TCGA-DD-AACW-01A 43 years, male, asian, stage:Stage I, alive, 1424 days 6.0
TCGA-DD-AADS-01A 63 years, male, asian, stage:Stage I, alive, 474 days 5.8
TCGA-G3-A5SL-01A 70 years, male, white, stage:Stage II, alive, 621 days 4.5
TCGA-DD-A11B-01A 73 years, male, white, stage:Stage I, dead, 14 days 4.5
TCGA-DD-A73C-01A 65 years, female, white, stage:Stage IIIA, alive, 701 days 4.5
TCGA-DD-AADU-01A 60 years, male, asian, stage:Stage II, alive, 554 days 4.4
TCGA-G3-AAV1-01A 51 years, male, asian, stage:Stage IIIC, dead, 359 days 4.3
TCGA-BC-A10Z-01A 62 years, female, white, stage:Stage I, dead, 34 days 4.2
TCGA-DD-AAW2-01A 69 years, male, asian, stage:Stage I, alive, 1855 days 4.1
TCGA-CC-A3M9-01A 45 years, male, asian, stage:Stage IIIA, dead, 300 days 4.0
TCGA-G3-A7M8-01A 31 years, male, asian, stage:Stage I, alive, 430 days 3.7
TCGA-DD-A73D-01A 68 years, female, white, stage:Stage II, alive, 693 days 3.6
TCGA-DD-A4NI-01A 67 years, male, white, stage:Stage II, alive, 816 days 3.4
TCGA-DD-A4NB-01A 25 years, male, white, stage:Stage I, alive, 989 days 3.4
TCGA-ED-A82E-01A 60 years, female, asian, stage:Stage IIIA, alive, 408 days 3.2
TCGA-DD-A3A8-01A 75 years, male, white, stage:Stage II, dead, 11 days 3.2
TCGA-DD-AACA-01A 65 years, male, asian, stage:Stage I, alive, 2301 days 3.2
TCGA-DD-AAD6-01A 66 years, male, asian, stage:Stage IIIA, alive, 672 days 3.1
TCGA-DD-AAC8-01A 72 years, male, asian, stage:Stage I, dead, 16 days 2.8
TCGA-DD-AACX-01A 66 years, male, asian, stage:Stage II, alive, 170 days 2.7
TCGA-DD-A3A2-01A 76 years, female, white, stage:Stage I, dead, 2131 days 2.5
TCGA-ZS-A9CG-01A 55 years, male, white, stage:Stage II, alive, 341 days 2.4
TCGA-DD-A3A5-01A 66 years, female, white, stage:Stage III, dead, 3125 days 2.3
TCGA-DD-AACE-01A 62 years, male, asian, stage:Stage I, alive, 2184 days 2.1
TCGA-BC-A10Y-01A 76 years, male, white, stage:'--, dead, 711 days 2.1
TCGA-DD-A3A4-01A 37 years, male, white, stage:Stage IIIA, dead, 612 days 2.0
TCGA-DD-A39X-01A 78 years, female, white, stage:Stage I, dead, 1694 days 2.0
TCGA-CC-A7IJ-01A 56 years, male, asian, stage:Stage II, alive, 382 days 1.9
TCGA-G3-A6UC-01A 65 years, male, white, stage:Stage IIIB, alive, 671 days 1.9
TCGA-DD-A73B-01A 72 years, female, white, stage:Stage I, dead, 283 days 1.8
TCGA-ES-A2HS-01A 80 years, male, white, stage:Stage I, dead, 688 days 1.7
TCGA-G3-AAUZ-01A 48 years, male, stage:Stage I, alive, 480 days 1.6
TCGA-DD-AAEK-01A 51 years, male, asian, stage:Stage II, alive, 1067 days 1.5
TCGA-DD-AACJ-01A 75 years, male, asian, stage:Stage II, alive, 2102 days 1.4
TCGA-DD-A118-01A 77 years, female, white, stage:Stage II, alive, 3437 days 1.4
TCGA-EP-A12J-01A 62 years, male, black or african american, stage:Stage I, alive, 570 days 1.4
TCGA-XR-A8TC-01A 43 years, female, white, stage:Stage I, alive, 1339 days 1.3
TCGA-DD-A3A6-01A 72 years, female, white, stage:Stage II, dead, 3258 days 1.3
TCGA-DD-AACV-01A 53 years, male, asian, stage:Stage I, alive, 1531 days 1.3
TCGA-NI-A4U2-01A 71 years, male, white, stage:Stage IIIA, dead, 1791 days 1.2
TCGA-CC-A3MA-01A 61 years, male, asian, stage:Stage IIIA, dead, 303 days 1.1
TCGA-DD-A4NV-01A 61 years, male, white, stage:Stage IIIA, alive, 2398 days 1.0
TCGA-DD-A4NF-01A 72 years, male, white, stage:Stage I, alive, 942 days 0.9
TCGA-NI-A8LF-01A 74 years, male, white, stage:Stage I, alive, 799 days 0.9
TCGA-DD-AAEI-01A 72 years, male, asian, stage:Stage I, alive, 1531 days 0.7
TCGA-WX-AA46-01A 61 years, male, white, stage:Stage II, alive, 756 days 0.6
TCGA-ED-A8O5-01A 59 years, female, asian, stage:Stage IIIA, alive, 406 days 0.5
TCGA-G3-AAV2-01A 50 years, male, white, stage:Stage I, alive, 372 days 0.5
TCGA-CC-A7IL-01A 61 years, male, asian, stage:Stage IIIA, dead, 278 days 0.5
TCGA-DD-A1EB-01A 72 years, female, stage:Stage I, alive, 2017 days 0.4
TCGA-CC-A8HU-01A 39 years, female, asian, stage:Stage IIIA, dead, 344 days 0.3
TCGA-DD-AADG-01A 70 years, male, asian, stage:Stage IIIA, alive, 1145 days 0.3
TCGA-DD-AAVY-01A 56 years, male, asian, stage:Stage IIIA, alive, 1970 days 0.3
TCGA-EP-A26S-01A 70 years, male, white, stage:Stage I, alive, 608 days 0.2
TCGA-G3-A25U-01A 63 years, female, asian, stage:Stage I, alive, 1636 days 0.2
TCGA-G3-A3CH-01A 53 years, male, asian, stage:Stage IIIA, alive, 780 days 0.1
TCGA-MI-A75H-01A 77 years, male, white, stage:'--, alive, 747 days 0.1
TCGA-CC-A7IF-01A 59 years, male, asian, stage:Stage IIIA, dead, 649 days 0.1
TCGA-G3-AAV5-01A 67 years, male, white, stage:Stage II, alive, 354 days 0.1
TCGA-G3-AAV4-01A 83 years, female, white, stage:Stage I, dead, 27 days 0.0
TCGA-CC-A7IK-01A 59 years, male, asian, stage:Stage IIIA, dead, 262 days 0.0
TCGA-DD-A3A9-01A 64 years, female, white, stage:Stage IVB, dead, 931 days 0.0
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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.

SPINK1 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.

: 9.1
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 1367.6
Number of samples 231
Samples
Sample Description pTPM
DO50845 72 years, male, NA, stage:3, alive, 210 days 22649.9
DO48717 54 years, male, NA, stage:4, dead, 180 days 22287.0
DO45127 73 years, male, NA, stage:3, dead, 420 days 9857.5
DO23518 67 years, male, NA, stage:2, alive, 1320 days 8390.2
DO48700 78 years, female, NA, stage:2, alive, 810 days 8021.8
DO50857 72 years, male, NA, stage:2, alive, 210 days 7955.3
DO50815 62 years, male, NA, stage:3, alive, 150 days 6662.2
DO48720 62 years, female, NA, stage:2, alive, 570 days 6422.2
DO50844 75 years, male, NA, stage:4, alive, 300 days 6135.9
DO45241 49 years, male, NA, stage:1, alive, 1080 days 5937.4
DO45183 72 years, female, NA, stage:2, dead, 570 days 5902.7
DO45091 56 years, male, NA, stage:2, dead, 1320 days 5761.3
DO23510 80 years, female, NA, stage:2, alive, 870 days 5695.2
DO45297 61 years, female, NA, stage:4, dead, 1260 days 5512.1
DO45285 59 years, male, NA, stage:3, alive, 480 days 5234.7
DO45165 75 years, male, NA, stage:2, alive, 690 days 4915.4
DO45257 46 years, male, NA, stage:3, alive, 810 days 4791.2
DO45287 74 years, male, NA, stage:1, alive, 390 days 4777.5
DO45119 74 years, male, NA, stage:3, dead, 510 days 4747.2
DO45239 42 years, male, NA, stage:2, alive, 870 days 4594.8
DO45263 67 years, male, NA, stage:3, dead, 270 days 4550.8
DO45092 62 years, male, NA, stage:4, dead, 1200 days 4458.9
DO45161 74 years, male, NA, stage:2, dead, 540 days 4287.6
DO50811 62 years, male, NA, stage:1, alive, 450 days 4098.7
DO45099 46 years, male, NA, stage:3, alive, 1590 days 3930.7
DO50806 70 years, male, NA, stage:4, alive, 540 days 3912.5
DO45125 58 years, male, NA, stage:3, alive, 1680 days 3856.6
DO45265 73 years, male, NA, stage:3, alive, 1020 days 3853.9
DO50776 75 years, male, NA, stage:1, alive, 690 days 3812.9
DO48736 76 years, female, NA, stage:1, alive, 600 days 3678.9
DO45289 78 years, female, NA, stage:3, alive, 360 days 3573.6
DO23515 71 years, male, NA, stage:2, alive, 1230 days 3162.4
DO45135 77 years, male, NA, stage:1, alive, 1410 days 2915.2
DO48728 74 years, female, NA, stage:2, alive, 150 days 2911.5
DO48730 73 years, female, NA, stage:2, alive, 630 days 2814.8
DO48733 72 years, male, NA, stage:2, alive, 600 days 2771.6
DO45173 63 years, male, NA, stage:3, alive, 1170 days 2626.4
DO45277 64 years, male, NA, stage:3, alive, 600 days 2538.9
DO45251 57 years, female, NA, stage:2, alive, 900 days 2468.8
DO45153 77 years, female, NA, stage:2, alive, 1380 days 2463.8
DO45199 86 years, female, NA, stage:2, alive, 1350 days 2436.4
DO23552 80 years, female, NA, stage:1, alive, 810 days 2346.5
DO45157 62 years, male, NA, stage:2, alive, 1980 days 2335.8
DO45217 69 years, female, NA, stage:3, dead, 270 days 2282.0
DO45139 63 years, male, NA, stage:3, alive, 1320 days 2272.2
DO227801 77 years, female, NA, stage:1, alive, 660 days 2205.3
DO45191 61 years, female, NA, stage:2, alive, 1200 days 2167.3
DO50850 74 years, male, NA, stage:3, alive, 720 days 1874.9
DO23524 71 years, female, NA, stage:2, alive, 1050 days 1854.0
DO48681 57 years, male, NA, stage:2, alive, 900 days 1849.6
DO45143 69 years, male, NA, stage:3, alive, 1290 days 1841.3
DO45103 47 years, male, NA, stage:3, alive, 450 days 1797.9
DO48725 66 years, male, NA, stage:1, alive, 780 days 1740.4
DO45095 66 years, male, NA, stage:2, alive, 1620 days 1731.8
DO45121 61 years, male, NA, stage:3, alive, 1530 days 1707.6
DO50803 62 years, female, NA, stage:1, alive, 540 days 1704.5
DO45283 60 years, male, NA, stage:3, alive, 510 days 1554.8
DO45219 78 years, male, NA, stage:2, alive, 1080 days 1550.9
DO45245 75 years, female, NA, stage:2, dead, 240 days 1511.6
DO50829 78 years, male, NA, stage:3, alive, 570 days 1458.0
DO45231 84 years, male, NA, stage:2, alive, 930 days 1453.6
DO45275 65 years, male, NA, stage:3, dead, 10 days 1449.9
DO23519 65 years, male, NA, stage:3, alive, 630 days 1439.2
DO23508 79 years, female, NA, stage:2, alive, 390 days 1426.0
DO23521 63 years, male, NA, stage:3, alive, 1110 days 1415.3
DO23527 72 years, male, NA, stage:1, alive, 1050 days 1410.9
DO50793 76 years, male, NA, stage:4, alive, 540 days 1406.8
DO48761 55 years, male, NA, stage:2, alive, 870 days 1270.7
DO48747 62 years, male, NA, stage:3, alive, 540 days 1262.0
DO48751 68 years, male, NA, stage:2, dead, 480 days 1254.9
DO45273 62 years, male, NA, stage:2, alive, 480 days 1248.9
DO50825 70 years, male, NA, stage:2, alive, 390 days 1241.3
DO48697 64 years, female, NA, stage:2, dead, 810 days 1237.9
DO45221 75 years, female, NA, stage:4, dead, 390 days 1128.6
DO23543 63 years, male, NA, stage:2, alive, 1020 days 1106.1
DO45301 56 years, male, NA, stage:2, dead, 1440 days 1075.2
DO45113 58 years, male, NA, stage:3, alive, 1560 days 1054.0
DO45179 78 years, female, NA, stage:2, alive, 600 days 1012.5
DO23525 71 years, male, NA, stage:4, alive, 1050 days 994.5
DO45094 76 years, male, NA, stage:3, alive, 1650 days 985.2
DO45243 74 years, female, NA, stage:3, alive, 930 days 984.9
DO23516 69 years, male, NA, stage:3, dead, 20 days 921.2
DO45223 67 years, male, NA, stage:4, alive, 1020 days 869.5
DO48737 52 years, male, NA, stage:1, alive, 720 days 864.8
DO23545 67 years, male, NA, stage:2, dead, 570 days 787.1
DO50799 66 years, female, NA, stage:2, alive, 540 days 779.9
DO45189 85 years, female, NA, stage:2, alive, 1200 days 747.9
DO48679 72 years, male, NA, stage:2, alive, 1200 days 738.6
DO45213 58 years, male, NA, stage:1, alive, 1200 days 687.3
DO48746 76 years, male, NA, stage:3, alive, 570 days 684.8
DO50809 56 years, male, NA, stage:3, dead, 720 days 683.6
DO45109 63 years, male, NA, stage:2, alive, 1590 days 640.2
DO45131 53 years, male, NA, stage:4, dead, 360 days 608.8
DO45279 67 years, male, NA, stage:3, alive, 1290 days 602.3
DO48701 78 years, male, NA, stage:2, alive, 780 days 600.2
DO45159 65 years, male, NA, stage:3, alive, 1470 days 594.3
DO23550 69 years, male, NA, stage:1, alive, 990 days 581.5
DO50839 47 years, female, NA, stage:3, alive, 330 days 548.2
DO50789 73 years, female, NA, stage:2, alive, 570 days 525.4
DO50820 77 years, female, NA, stage:3, alive, 510 days 522.3
DO50774 68 years, female, NA, stage:2, alive, 720 days 515.7
DO45269 59 years, male, NA, stage:3, alive, 750 days 503.6
DO45145 78 years, male, NA, stage:3, dead, 60 days 497.1
DO48704 68 years, female, NA, stage:3, alive, 750 days 489.8
DO23541 65 years, male, NA, stage:2, alive, 930 days 466.9
DO50800 74 years, male, NA, stage:2, alive, 510 days 459.5
DO48743 69 years, female, NA, stage:2, alive, 570 days 450.4
DO45307 54 years, female, NA, stage:4, dead, 240 days 418.6
DO50805 72 years, male, NA, stage:2, alive, 690 days 406.6
DO45237 58 years, male, NA, stage:2, alive, 900 days 402.3
DO23511 83 years, female, NA, stage:3, dead, 180 days 399.7
DO23512 60 years, male, NA, stage:1, alive, 1260 days 392.2
DO23526 66 years, male, NA, stage:3, alive, 1050 days 382.1
DO23535 67 years, male, NA, stage:1, alive, 960 days 357.2
DO23547 74 years, male, NA, stage:1, alive, 1020 days 328.9
DO48732 73 years, male, NA, stage:3, alive, 630 days 315.3
DO48706 72 years, male, NA, stage:2, alive, 870 days 305.5
DO45299 70 years, female, NA, stage:1, alive, 1440 days 298.9
DO45185 89 years, male, NA, stage:2, alive, 600 days 287.7
DO50791 79 years, female, NA, stage:1, dead, 480 days 284.6
DO23546 63 years, male, NA, stage:2, alive, 1050 days 281.0
DO50808 68 years, male, NA, stage:2, alive, 570 days 268.6
DO48760 70 years, female, NA, stage:2, alive, 690 days 260.2
DO50819 72 years, female, NA, stage:2, alive, 510 days 250.0
DO45141 73 years, male, NA, stage:2, alive, 1320 days 240.8
DO45267 73 years, male, NA, stage:3, dead, 570 days 236.4
DO23513 76 years, male, NA, stage:3, alive, 1200 days 227.0
DO23540 73 years, male, NA, stage:1, alive, 750 days 225.3
DO50787 63 years, male, NA, stage:3, alive, 480 days 220.2
DO45149 70 years, female, NA, stage:2, alive, 1260 days 200.0
DO45255 81 years, male, NA, stage:3, alive, 720 days 199.6
DO45096 69 years, male, NA, stage:2, dead, 1290 days 175.1
DO45107 63 years, female, NA, stage:2, alive, 1710 days 166.9
DO45193 68 years, female, NA, stage:4, dead, 120 days 157.8
DO227643 79 years, male, NA, stage:2, alive, 1260 days 150.2
DO48715 58 years, female, NA, stage:2, dead, 690 days 144.2
DO50778 60 years, male, NA, stage:4, alive, 630 days 143.6
DO45205 67 years, female, NA, stage:2, dead, 90 days 140.0
DO48721 58 years, female, NA, stage:1, alive, 900 days 125.5
DO23539 77 years, male, NA, stage:1, alive, 1110 days 120.4
DO23544 67 years, male, NA, stage:2, alive, 960 days 120.4
DO50813 56 years, male, NA, stage:2, alive, 420 days 110.4
DO50783 62 years, male, NA, stage:3, alive, 480 days 107.3
DO48716 71 years, male, NA, stage:2, alive, 720 days 103.9
DO48723 73 years, male, NA, stage:1, alive, 600 days 101.9
DO50804 81 years, male, NA, stage:2, alive, 720 days 83.8
DO48741 64 years, male, NA, stage:3, alive, 240 days 72.7
DO45261 74 years, male, NA, stage:3, alive, 990 days 71.8
DO50832 73 years, male, NA, stage:3, alive, 90 days 70.6
DO45177 81 years, female, NA, stage:3, alive, 1260 days 69.4
DO45117 73 years, female, NA, stage:2, dead, 1110 days 68.9
DO50822 66 years, male, NA, stage:2, alive, 510 days 66.7
DO23530 53 years, male, NA, stage:4, dead, 180 days 66.2
DO45215 65 years, male, NA, stage:2, alive, 1170 days 65.6
DO45305 66 years, male, NA, stage:4, alive, 300 days 60.0
DO45187 32 years, female, NA, stage:1, alive, 1260 days 59.9
DO48712 50 years, male, NA, stage:2, alive, 810 days 59.4
DO50807 67 years, male, NA, stage:1, alive, 540 days 49.8
DO50802 49 years, male, NA, stage:2, alive, 930 days 47.0
DO50840 49 years, male, NA, stage:2, alive, 330 days 42.8
DO45137 38 years, male, NA, stage:1, alive, 1320 days 38.8
DO45249 57 years, male, NA, stage:1, alive, 630 days 36.4
DO23548 78 years, female, NA, stage:1, alive, 840 days 32.2
DO23517 62 years, male, NA, stage:2, alive, 1200 days 28.1
DO45233 83 years, male, NA, stage:3, alive, 900 days 27.2
DO45207 68 years, male, NA, stage:1, alive, 1050 days 27.2
DO45227 57 years, female, NA, stage:2, alive, 1020 days 24.3
DO50814 83 years, male, NA, stage:3, alive, 420 days 20.7
DO45235 68 years, female, NA, stage:1, alive, 900 days 20.1
DO45197 51 years, male, NA, stage:2, alive, 1170 days 19.2
DO48742 76 years, male, NA, stage:2, alive, 600 days 14.5
DO50798 77 years, male, NA, stage:3, dead, 30 days 13.9
DO23549 74 years, male, NA, stage:3, alive, 990 days 12.8
DO45123 78 years, female, NA, stage:2, dead, 570 days 12.7
DO45105 61 years, male, NA, stage:1, alive, 1680 days 12.4
DO23536 56 years, male, NA, stage:2, alive, 930 days 11.7
DO45093 71 years, male, NA, stage:2, dead, 720 days 11.4
DO50785 37 years, male, NA, stage:4, dead, 90 days 9.8
DO45303 62 years, female, NA, stage:3, alive, 990 days 9.4
DO23551 73 years, male, NA, stage:3, dead, 150 days 9.1
DO50818 65 years, male, NA, stage:2, alive, 510 days 9.1
DO45129 61 years, male, NA, stage:3, alive, 1470 days 8.9
DO45259 65 years, male, NA, stage:3, alive, 330 days 7.7
DO23528 45 years, female, NA, stage:2, alive, 1020 days 6.8
DO45229 74 years, male, NA, stage:1, alive, 990 days 6.4
DO45169 74 years, male, NA, stage:3, alive, 1350 days 6.0
DO45247 31 years, female, NA, stage:2, alive, 210 days 5.9
DO45281 83 years, male, NA, stage:4, alive, 750 days 5.8
DO23529 72 years, male, NA, stage:4, alive, 930 days 5.2
DO23533 61 years, male, NA, stage:2, alive, 900 days 4.5
DO48759 73 years, male, NA, stage:3, alive, 720 days 4.3
DO45155 69 years, male, NA, stage:2, alive, 2160 days 4.2
DO48695 77 years, male, NA, stage:2, alive, 720 days 4.1
DO45115 81 years, male, NA, stage:2, alive, 840 days 3.3
DO23532 71 years, female, NA, stage:1, alive, 960 days 3.1
DO45111 74 years, male, NA, stage:2, alive, 1590 days 3.1
DO23509 60 years, male, NA, stage:3, dead, 780 days 2.6
DO48757 68 years, female, NA, stage:3, alive, 480 days 2.6
DO23538 67 years, male, NA, stage:2, alive, 450 days 2.6
DO23534 60 years, male, NA, stage:2, alive, 840 days 2.5
DO48682 72 years, female, NA, stage:3, dead, 120 days 2.4
DO48674 80 years, male, NA, stage:2, alive, 1260 days 2.4
DO45171 56 years, male, NA, stage:3, alive, 600 days 2.4
DO45211 76 years, male, NA, stage:3, alive, 240 days 2.2
DO48693 71 years, male, NA, stage:2, alive, 900 days 2.1
DO45097 69 years, male, NA, stage:3, alive, 1620 days 2.1
DO48719 80 years, male, NA, stage:2, alive, 690 days 1.8
DO45195 62 years, male, NA, stage:1, alive, 390 days 1.8
DO45101 63 years, male, NA, stage:2, alive, 1680 days 1.7
DO45181 84 years, female, NA, stage:2, alive, 1200 days 1.6
DO45225 69 years, male, NA, stage:1, alive, 1050 days 1.4
DO23514 64 years, male, NA, stage:2, alive, 1290 days 1.3
DO45203 71 years, female, NA, stage:2, alive, 1170 days 1.1
DO23542 66 years, male, NA, stage:3, alive, 960 days 1.0
DO48677 58 years, male, NA, stage:3, alive, 1140 days 0.9
DO50859 77 years, male, NA, stage:2, alive, 180 days 0.7
DO45201 49 years, male, NA, stage:1, alive, 900 days 0.6
DO48672 81 years, male, NA, stage:2, alive, 450 days 0.6
DO50817 75 years, male, NA, stage:2, alive, 390 days 0.6
DO45209 70 years, male, NA, stage:4, alive, 1350 days 0.6
DO48727 81 years, female, NA, stage:2, dead, 390 days 0.5
DO45253 50 years, male, NA, stage:2, alive, 870 days 0.4
DO23523 52 years, male, NA, stage:3, alive, 1080 days 0.4
DO50855 47 years, male, NA, stage:2, alive, 570 days 0.2
DO45175 74 years, male, NA, stage:2, alive, 1140 days 0.2
DO23531 78 years, female, NA, stage:3, alive, 900 days 0.2
DO50816 63 years, male, NA, stage:2, alive, 390 days 0.2
DO45133 64 years, male, NA, stage:3, dead, 660 days 0.2
DO23537 79 years, male, NA, stage:2, dead, 900 days 0.2
DO45163 76 years, male, NA, stage:2, alive, 960 days 0.1
DO45167 67 years, male, NA, stage:2, dead, 1440 days 0.0
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples 330
Samples
Sample ID Sample type nRPX
697 Tumor 3.4
823 Tumor 3.3
937 Tumor 3.1
865 Tumor 3.1
385 Tumor 3.0
527 Tumor 2.9
223 Tumor 2.6
737 Tumor 2.5
497 Tumor 2.4
473 Tumor 2.1
285 Tumor 2.0
425 Tumor 1.8
745 Tumor 1.8
975 Tumor 1.7
375 Tumor 1.7
617 Tumor 1.6
351 Tumor 1.6
353 Tumor 1.6
1015 Tumor 1.5
191 Tumor 1.5
557 Tumor 1.4
1021 Tumor 1.4
135 Tumor 1.3
363 Tumor 1.2
957 Tumor 1.2
965 Tumor 1.1
467 Tumor 1.1
857 Tumor 1.1
1043 Tumor 1.0
851 Tumor 0.8
545 Tumor 0.8
535 Tumor 0.7
721 Tumor 0.7
221 Tumor 0.7
573 Tumor 0.7
395 Tumor 0.7
727 Tumor 0.6
661 Tumor 0.6
523 Tumor 0.6
443 Tumor 0.5
383 Tumor 0.5
1025 Tumor 0.4
983 Tumor 0.4
224 Normal 0.4
663 Tumor 0.3
863 Tumor 0.3
867 Tumor 0.3
755 Tumor 0.2
195 Tumor 0.2
671 Tumor 0.2
1016 Normal 0.2
493 Tumor 0.1
1013 Tumor 0.1
217 Tumor 0.1
963 Tumor 0.1
873 Tumor 0.1
283 Tumor 0.1
123 Tumor 0.1
738 Normal 0.1
286 Normal 0.1
455 Tumor 0.0
517 Tumor 0.0
331 Tumor 0.0
647 Tumor 0.0
563 Tumor 0.0
147 Tumor 0.0
332 Normal -0.1
664 Normal -0.1
463 Tumor -0.1
361 Tumor -0.1
413 Tumor -0.1
938 Normal -0.2
777 Tumor -0.2
145 Tumor -0.2
951 Tumor -0.2
528 Normal -0.2
665 Tumor -0.2
341 Tumor -0.3
228 Normal -0.3
387 Tumor -0.3
343 Tumor -0.3
494 Normal -0.3
491 Tumor -0.3
982 Normal -0.4
415 Tumor -0.4
943 Tumor -0.4
391 Tumor -0.4
866 Normal -0.4
427 Tumor -0.4
877 Tumor -0.4
977 Tumor -0.4
864 Normal -0.4
277 Tumor -0.5
868 Normal -0.5
554 Normal -0.5
862 Normal -0.5
447 Tumor -0.5
386 Normal -0.5
213 Tumor -0.6
746 Normal -0.6
352 Normal -0.6
482 Normal -0.6
284 Normal -0.6
171 Tumor -0.6
297 Tumor -0.6
976 Normal -0.7
488 Normal -0.7
861 Tumor -0.7
1027 Tumor -0.7
212 Normal -0.7
468 Normal -0.7
218 Normal -0.7
1014 Normal -0.7
923 Tumor -0.7
874 Normal -0.7
342 Normal -0.7
421 Tumor -0.7
472 Normal -0.7
141 Tumor -0.7
534 Normal -0.8
955 Tumor -0.8
483 Tumor -0.8
161 Tumor -0.8
978 Normal -0.8
484 Normal -0.9
513 Tumor -0.9
817 Tumor -0.9
487 Tumor -0.9
354 Normal -0.9
227 Tumor -0.9
492 Normal -0.9
433 Tumor -0.9
471 Tumor -0.9
984 Normal -0.9
358 Normal -0.9
824 Normal -0.9
546 Normal -0.9
958 Normal -0.9
533 Tumor -0.9
257 Tumor -1.0
313 Tumor -1.0
465 Tumor -1.0
813 Tumor -1.0
858 Normal -1.0
474 Normal -1.0
518 Normal -1.1
964 Normal -1.1
344 Normal -1.1
526 Normal -1.1
786 Normal -1.1
756 Normal -1.2
524 Normal -1.2
516 Normal -1.2
376 Normal -1.2
364 Normal -1.2
968 Normal -1.2
187 Tumor -1.2
146 Normal -1.2
514 Normal -1.3
981 Tumor -1.3
367 Tumor -1.3
192 Normal -1.3
456 Normal -1.3
384 Normal -1.3
537 Tumor -1.3
368 Normal -1.3
953 Tumor -1.3
356 Normal -1.3
666 Normal -1.3
366 Normal -1.4
944 Normal -1.4
538 Normal -1.4
741 Tumor -1.4
431 Tumor -1.4
365 Tumor -1.4
724 Normal -1.4
525 Tumor -1.4
357 Tumor -1.4
778 Normal -1.4
662 Normal -1.4
466 Normal -1.4
814 Normal -1.5
188 Normal -1.5
1032 Normal -1.5
211 Tumor -1.5
816 Normal -1.5
393 Tumor -1.5
477 Tumor -1.5
444 Normal -1.5
952 Normal -1.5
137 Tumor -1.5
481 Tumor -1.5
355 Tumor -1.5
396 Normal -1.5
464 Normal -1.5
136 Normal -1.5
362 Normal -1.5
966 Normal -1.6
515 Tumor -1.6
954 Normal -1.6
818 Normal -1.6
1045 Tumor -1.6
571 Tumor -1.6
478 Normal -1.6
553 Tumor -1.7
392 Normal -1.7
452 Normal -1.7
451 Tumor -1.7
728 Normal -1.7
394 Normal -1.8
558 Normal -1.8
785 Tumor -1.8
416 Normal -1.8
461 Tumor -1.8
967 Tumor -1.8
742 Normal -1.8
648 Normal -1.8
1041 Tumor -1.8
917 Tumor -1.9
743 Tumor -1.9
298 Normal -2.0
723 Tumor -2.0
852 Normal -2.0
132 Normal -2.0
138 Normal -2.0
536 Normal -2.0
278 Normal -2.1
328 Normal -2.1
956 Normal -2.1
314 Normal -2.1
172 Normal -2.1
1026 Normal -2.1
412 Normal -2.1
448 Normal -2.1
1046 Normal -2.2
744 Normal -2.2
567 Tumor -2.2
113 Tumor -2.2
311 Tumor -2.2
196 Normal -2.2
434 Normal -2.3
312 Normal -2.3
162 Normal -2.3
214 Normal -2.3
436 Normal -2.3
722 Normal -2.3
881 Tumor -2.3
232 Normal -2.4
636 Normal -2.4
446 Normal -2.4
112 Tumor -2.4
327 Tumor -2.4
267 Tumor -2.4
1042 Normal -2.4
635 Tumor -2.4
125 Tumor -2.4
918 Normal -2.5
715 Tumor -2.5
131 Tumor -2.5
627 Tumor -2.5
574 Normal -2.5
231 Tumor -2.6
435 Tumor -2.6
883 Tumor -2.6
148 Normal -2.7
1022 Normal -2.7
462 Normal -2.7
1028 Normal -2.7
498 Normal -2.8
127 Tumor -2.8
696 Normal -2.8
913 Tumor -2.8
128 Normal -2.8
432 Normal -2.8
1031 Tumor -2.9
185 Tumor -2.9
272 Normal -2.9
564 Normal -3.0
445 Tumor -3.0
114 Normal -3.0
388 Normal -3.0
815 Tumor -3.0
1044 Normal -3.0
258 Normal -3.1
262 Normal -3.1
916 Normal -3.1
414 Normal -3.1
261 Tumor -3.1
111 Normal -3.2
925 Tumor -3.2
422 Normal -3.3
615 Tumor -3.3
186 Normal -3.3
126 Normal -3.3
268 Normal -3.3
713 Tumor -3.3
922 Normal -3.4
424 Normal -3.5
572 Normal -3.5
915 Tumor -3.5
716 Normal -3.6
926 Normal -3.6
882 Normal -3.8
921 Tumor -3.8
884 Normal -3.8
911 Tumor -3.9
924 Normal -3.9
568 Normal -4.0
642 Normal -4.0
912 Normal -4.0
672 Normal -4.1
641 Tumor -4.1
271 Tumor -4.2
714 Normal -4.2
628 Normal -4.2
914 Normal -4.2
695 Tumor -4.5
685 Tumor -4.5
423 Tumor -4.7
616 Normal -4.8
686 Normal -4.9
142 Normal -5.2
411 Tumor -5.3
222 Normal -7.5
878 Normal -10.5
698 Normal -12.8
428 Normal -12.9
124 Normal N/A
618 Normal N/A
426 Normal N/A
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 HPA027498

Antibody CAB026366
 Staining
  High
  Medium
  Low
  Not detected
 Intensity
  Strong
  Moderate
  Weak
  Negative
 Quantity
  >75%
  75%-25%
  <25%
  None
 Location
  Nuclear
  Cytoplasmic/membranous
  Cytoplasmic/membranous,nuclear
  None
Cholangiocarcinoma
Carcinoma, Hepatocellular, NOS

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