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  • SUMMARY

  • TISSUE

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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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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.

CTSB 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.

: 159.35
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 189.1
Number of samples 362
Samples
Sample Description pTPM
TCGA-DD-AACX-01A 66 years, male, asian, stage:Stage II, alive, 170 days 1944.9
TCGA-GJ-A3OU-01A 59 years, male, white, stage:Stage I, alive, 879 days 1365.1
TCGA-G3-AAV7-01A 38 years, male, asian, stage:Stage II, alive, 361 days 1094.2
TCGA-DD-AAC8-01A 72 years, male, asian, stage:Stage I, dead, 16 days 977.1
TCGA-BC-A10Z-01A 62 years, female, white, stage:Stage I, dead, 34 days 820.7
TCGA-CC-A7IJ-01A 56 years, male, asian, stage:Stage II, alive, 382 days 761.6
TCGA-DD-A114-01A 42 years, male, black or african american, stage:Stage II, dead, 1149 days 716.0
TCGA-GJ-A6C0-01A 75 years, female, white, stage:Stage II, dead, 31 days 703.4
TCGA-LG-A6GG-01A 79 years, female, white, stage:Stage II, alive, 387 days 639.6
TCGA-2Y-A9H0-01A 49 years, male, white, stage:Stage IIIA, alive, 3675 days 576.4
TCGA-DD-A1EA-01A 68 years, male, asian, stage:Stage II, alive, 2415 days 565.8
TCGA-DD-AADL-01A 58 years, male, asian, stage:Stage I, alive, 636 days 564.2
TCGA-CC-5264-01A 71 years, male, asian, stage:Stage IIIA, dead, 102 days 560.7
TCGA-DD-AAVW-01A 35 years, male, asian, stage:Stage I, alive, 2317 days 536.6
TCGA-YA-A8S7-01A 68 years, male, white, stage:Stage IIIA, dead, 412 days 528.3
TCGA-DD-A1EC-01A 20 years, female, white, stage:Stage I, alive, 602 days 527.3
TCGA-DD-AADY-01A 55 years, female, asian, stage:Stage I, alive, 555 days 525.5
TCGA-DD-A3A4-01A 37 years, male, white, stage:Stage IIIA, dead, 612 days 522.0
TCGA-ED-A459-01A 47 years, male, asian, stage:Stage II, alive, 910 days 521.4
TCGA-CC-A3M9-01A 45 years, male, asian, stage:Stage IIIA, dead, 300 days 512.4
TCGA-DD-A4NR-01A 85 years, female, white, stage:Stage I, dead, 9 days 507.3
TCGA-ED-A97K-01A 54 years, male, asian, stage:Stage IIIA, alive, 6 days 475.9
TCGA-DD-AACV-01A 53 years, male, asian, stage:Stage I, alive, 1531 days 459.9
TCGA-K7-A5RG-01A 66 years, male, black or african american, stage:Stage I, alive, 519 days 456.7
TCGA-BW-A5NO-01A 50 years, male, black or african american, stage:Stage IIIA, alive, 20 days 449.8
TCGA-G3-AAV1-01A 51 years, male, asian, stage:Stage IIIC, dead, 359 days 449.8
TCGA-DD-AAEK-01A 51 years, male, asian, stage:Stage II, alive, 1067 days 449.6
TCGA-ED-A82E-01A 60 years, female, asian, stage:Stage IIIA, alive, 408 days 448.0
TCGA-ED-A66X-01A 35 years, male, asian, stage:Stage IIIA, alive, 406 days 447.8
TCGA-DD-AACU-01A 59 years, male, asian, stage:Stage I, alive, 1567 days 445.5
TCGA-DD-A4NA-01A 67 years, female, white, stage:Stage IIIC, alive, 1008 days 444.0
TCGA-DD-AADV-01A 50 years, male, asian, stage:Stage I, alive, 574 days 434.5
TCGA-CC-5260-01A 61 years, female, asian, stage:Stage IIIC, dead, 87 days 410.8
TCGA-DD-AAW0-01A 54 years, male, asian, stage:Stage I, alive, 2015 days 398.5
TCGA-FV-A3R3-01A 38 years, female, white, stage:Stage I, dead, 366 days 395.6
TCGA-MI-A75G-01A 63 years, male, white, stage:Stage II, alive, 698 days 395.3
TCGA-ZP-A9D2-01A 51 years, male, white, stage:'--, dead, 765 days 388.7
TCGA-2Y-A9GZ-01A 82 years, female, white, stage:Stage II, dead, 848 days 387.7
TCGA-4R-AA8I-01A 66 years, male, white, stage:Stage II, dead, 262 days 387.4
TCGA-DD-A4NQ-01A 60 years, male, white, stage:Stage II, dead, 373 days 378.2
TCGA-DD-AADU-01A 60 years, male, asian, stage:Stage II, alive, 554 days 370.8
TCGA-XR-A8TD-01A 49 years, female, white, stage:Stage IIIB, alive, 1030 days 368.4
TCGA-CC-A5UE-01A 48 years, male, asian, stage:Stage IIIB, dead, 272 days 365.5
TCGA-FV-A496-01A 84 years, female, white, stage:Stage I, alive, 10 days 362.4
TCGA-ED-A66Y-01A 51 years, female, asian, stage:Stage IIIA, dead, 296 days 352.0
TCGA-G3-A3CI-01A 71 years, male, white, stage:Stage I, alive, 180 days 351.8
TCGA-ED-A8O5-01A 59 years, female, asian, stage:Stage IIIA, alive, 406 days 351.4
TCGA-DD-AADW-01A 48 years, male, asian, stage:Stage I, alive, 587 days 349.6
TCGA-DD-AACZ-01A 63 years, female, asian, stage:Stage I, dead, 171 days 345.9
TCGA-DD-AAE2-01A 51 years, male, asian, stage:Stage I, alive, 638 days 344.4
TCGA-DD-AAD2-01A 66 years, male, asian, stage:Stage I, alive, 658 days 343.4
TCGA-DD-A1EG-01A 76 years, male, white, stage:Stage I, dead, 1372 days 340.6
TCGA-DD-A4NH-01A 65 years, female, white, stage:Stage IIIB, alive, 917 days 338.8
TCGA-CC-A5UD-01A 45 years, male, asian, stage:Stage IIIA, dead, 304 days 336.0
TCGA-RC-A7SK-01A 59 years, male, asian, stage:Stage I, alive, 472 days 335.8
TCGA-CC-5261-01A 44 years, male, asian, stage:Stage II, dead, 97 days 335.4
TCGA-CC-A3MB-01A 36 years, male, asian, stage:Stage IIIA, dead, 315 days 331.7
TCGA-DD-A1EB-01A 72 years, female, stage:Stage I, alive, 2017 days 329.7
TCGA-FV-A3R2-01A 75 years, male, white, stage:Stage I, dead, 194 days 329.5
TCGA-DD-AAVV-01A 56 years, male, asian, stage:Stage II, alive, 2455 days 326.8
TCGA-G3-AAV3-01A 58 years, female, white, stage:Stage II, alive, 412 days 325.0
TCGA-DD-AACA-01A 65 years, male, asian, stage:Stage I, alive, 2301 days 324.8
TCGA-DD-AACT-01A 69 years, female, asian, stage:Stage I, alive, 1562 days 315.6
TCGA-DD-AACW-01A 43 years, male, asian, stage:Stage I, alive, 1424 days 310.6
TCGA-FV-A23B-01A 70 years, female, white, stage:Stage II, dead, 1852 days 307.0
TCGA-ZP-A9CY-01A 66 years, female, white, stage:'--, alive, 782 days 305.0
TCGA-DD-A1EH-01A 23 years, male, white, stage:Stage III, alive, 1495 days 301.7
TCGA-MI-A75I-01A 61 years, male, black or african american, stage:'--, alive, 630 days 299.2
TCGA-UB-A7MD-01A 67 years, male, black or african american, stage:Stage I, dead, 52 days 297.0
TCGA-G3-A3CK-01A 61 years, male, asian, stage:Stage I, alive, 585 days 295.2
TCGA-DD-A39X-01A 78 years, female, white, stage:Stage I, dead, 1694 days 293.9
TCGA-G3-A25Z-01A 58 years, male, asian, stage:Stage I, alive, 655 days 291.7
TCGA-2Y-A9GX-01A 68 years, male, white, stage:Stage I, alive, 2442 days 289.6
TCGA-DD-A1EK-01A 64 years, female, white, stage:Stage IVB, dead, 558 days 285.8
TCGA-ED-A4XI-01A 58 years, male, asian, stage:Stage II, alive, 819 days 285.7
TCGA-BC-A8YO-01A 66 years, female, white, stage:Stage IIIC, alive, 562 days 282.6
TCGA-ZS-A9CF-01A 64 years, male, white, stage:Stage II, alive, 2412 days 274.4
TCGA-2Y-A9HA-01A 70 years, male, white, stage:Stage II, dead, 36 days 271.9
TCGA-ED-A7PX-01A 48 years, female, asian, stage:Stage II, alive, 6 days 271.2
TCGA-BC-A10W-01A 50 years, male, asian, stage:'--, dead, 91 days 269.5
TCGA-UB-A7MC-01A 59 years, male, white, stage:Stage IIIA, alive, 500 days 269.4
TCGA-DD-AACK-01A 70 years, male, asian, stage:Stage I, alive, 9 days 264.1
TCGA-ED-A627-01A 74 years, male, white, stage:Stage I, alive, 423 days 262.0
TCGA-DD-AADD-01A 51 years, male, asian, stage:Stage I, alive, 1231 days 260.8
TCGA-DD-AACS-01A 39 years, male, asian, stage:Stage I, alive, 1804 days 260.6
TCGA-CC-5263-01A 35 years, male, asian, stage:Stage IIIA, dead, 129 days 258.3
TCGA-DD-AACY-01A 61 years, male, asian, stage:Stage I, alive, 1450 days 253.6
TCGA-ZP-A9D0-01A 67 years, female, black or african american, stage:'--, alive, 1091 days 252.1
TCGA-BC-A10Y-01A 76 years, male, white, stage:'--, dead, 711 days 250.8
TCGA-G3-A6UC-01A 65 years, male, white, stage:Stage IIIB, alive, 671 days 250.3
TCGA-DD-A4NJ-01A 54 years, female, white, stage:Stage II, alive, 928 days 247.0
TCGA-ED-A7XP-01A 53 years, female, asian, stage:Stage II, alive, 400 days 246.8
TCGA-DD-A1EL-01A 23 years, male, black or african american, stage:Stage II, dead, 415 days 245.6
TCGA-G3-A25V-01A 68 years, male, white, stage:Stage I, alive, 860 days 242.8
TCGA-DD-AAE3-01A 50 years, male, asian, stage:Stage I, alive, 566 days 242.7
TCGA-G3-AAV4-01A 83 years, female, white, stage:Stage I, dead, 27 days 241.1
TCGA-5R-AAAM-01A 65 years, female, white, stage:Stage II, dead, 46 days 240.5
TCGA-XR-A8TG-01A 58 years, male, white, stage:Stage I, alive, 898 days 240.3
TCGA-CC-A9FW-01A 68 years, male, asian, stage:Stage IIIA, alive, 248 days 238.3
TCGA-5C-AAPD-01A 61 years, male, asian, stage:Stage II, alive, 20 days 232.5
TCGA-FV-A4ZQ-01A 52 years, male, white, stage:Stage I, alive, 12 days 225.9
TCGA-DD-AADR-01A 58 years, male, asian, stage:Stage I, alive, 2028 days 225.8
TCGA-CC-5258-01A 48 years, male, asian, stage:Stage II, dead, 129 days 225.3
TCGA-G3-A7M9-01A 70 years, male, white, stage:Stage IIIB, dead, 56 days 223.2
TCGA-MR-A520-01A 58 years, male, white, stage:Stage I, alive, 229 days 222.5
TCGA-G3-A25Y-01A 52 years, female, asian, stage:Stage I, dead, 452 days 221.1
TCGA-CC-A1HT-01A 50 years, male, asian, stage:Stage IIIA, dead, 101 days 220.5
TCGA-G3-A25U-01A 63 years, female, asian, stage:Stage I, alive, 1636 days 220.2
TCGA-RC-A7SB-01A 53 years, male, asian, stage:Stage II, alive, 588 days 220.0
TCGA-BC-A10X-01A 52 years, female, white, stage:Stage IIIA, dead, 770 days 219.0
TCGA-G3-A7M8-01A 31 years, male, asian, stage:Stage I, alive, 430 days 218.4
TCGA-DD-A1EI-01A 46 years, male, asian, stage:Stage I, alive, 183 days 217.9
TCGA-RC-A6M6-01A 75 years, male, white, stage:Stage II, alive, 9 days 215.1
TCGA-DD-AAVX-01A 38 years, male, asian, stage:Stage II, alive, 1718 days 215.0
TCGA-BC-A10T-01A 76 years, male, white, stage:'--, dead, 837 days 210.7
TCGA-DD-AAD1-01A 51 years, female, asian, stage:Stage I, alive, 564 days 209.8
TCGA-FV-A3I1-01A 81 years, female, white, stage:Stage II, dead, 247 days 208.8
TCGA-DD-AAW1-01A 55 years, male, asian, stage:Stage IIIA, alive, 1989 days 208.0
TCGA-GJ-A9DB-01A 68 years, male, white, stage:Stage I, dead, 67 days 206.8
TCGA-DD-AAD3-01A 43 years, male, asian, stage:Stage I, alive, 1295 days 204.3
TCGA-DD-A73C-01A 65 years, female, white, stage:Stage IIIA, alive, 701 days 204.2
TCGA-FV-A2QR-01A 75 years, male, white, stage:Stage I, dead, 581 days 203.8
TCGA-DD-A4NS-01A 61 years, female, white, stage:Stage I, dead, 2456 days 202.3
TCGA-ED-A5KG-01A 60 years, female, asian, stage:Stage II, alive, 854 days 199.0
TCGA-FV-A3I0-01A 76 years, female, white, stage:Stage II, alive, 848 days 199.0
TCGA-CC-A7IG-01A 47 years, male, asian, stage:Stage II, dead, 299 days 198.2
TCGA-CC-A7IK-01A 59 years, male, asian, stage:Stage IIIA, dead, 262 days 197.4
TCGA-EP-A3JL-01A 76 years, male, white, stage:Stage I, alive, 303 days 195.2
TCGA-5R-AA1C-01A 57 years, male, white, stage:Stage II, alive, 520 days 195.0
TCGA-DD-A4NO-01A 65 years, male, white, stage:Stage I, alive, 2245 days 193.8
TCGA-DD-AADB-01A 51 years, male, asian, stage:Stage I, alive, 1242 days 192.3
TCGA-CC-A7IF-01A 59 years, male, asian, stage:Stage IIIA, dead, 649 days 192.2
TCGA-CC-A9FS-01A 55 years, male, asian, stage:Stage II, alive, 211 days 192.1
TCGA-ZP-A9CZ-01A 72 years, male, asian, stage:'--, alive, 706 days 191.7
TCGA-DD-AACH-01A 69 years, male, asian, stage:Stage II, dead, 195 days 191.1
TCGA-DD-AAW2-01A 69 years, male, asian, stage:Stage I, alive, 1855 days 189.9
TCGA-CC-A3MC-01A 54 years, male, asian, stage:Stage IIIA, alive, 363 days 188.0
TCGA-DD-AADP-01A 45 years, male, asian, stage:Stage I, alive, 458 days 185.8
TCGA-KR-A7K0-01A 65 years, male, white, stage:Stage I, dead, 65 days 185.2
TCGA-DD-A11C-01A 69 years, male, white, stage:Stage I, alive, 662 days 185.2
TCGA-WX-AA46-01A 61 years, male, white, stage:Stage II, alive, 756 days 184.9
TCGA-HP-A5MZ-01A 78 years, male, stage:Stage I, dead, 91 days 183.5
TCGA-CC-5262-01A 67 years, male, asian, stage:Stage IIIC, dead, 103 days 183.2
TCGA-ED-A7PZ-01A 61 years, male, asian, stage:Stage II, alive, 6 days 181.8
TCGA-DD-AAVY-01A 56 years, male, asian, stage:Stage IIIA, alive, 1970 days 181.7
TCGA-DD-AACE-01A 62 years, male, asian, stage:Stage I, alive, 2184 days 180.0
TCGA-BD-A3EP-01A 75 years, female, black or african american, stage:Stage I, alive, 409 days 179.8
TCGA-DD-AAEI-01A 72 years, male, asian, stage:Stage I, alive, 1531 days 175.3
TCGA-DD-A11D-01A 57 years, female, white, stage:Stage I, dead, 1560 days 175.1
TCGA-DD-A115-01A 53 years, male, white, stage:Stage IIIA, dead, 2542 days 174.6
TCGA-ZP-A9CV-01A 59 years, male, white, stage:'--, dead, 1088 days 174.2
TCGA-ED-A7XO-01A 29 years, male, asian, stage:Stage IIIA, alive, 427 days 170.5
TCGA-DD-AACF-01A 68 years, male, asian, stage:Stage I, dead, 365 days 170.1
TCGA-DD-A1EE-01A 73 years, male, white, stage:Stage IIIA, dead, 349 days 169.7
TCGA-DD-AAVS-01A 56 years, male, asian, stage:Stage I, alive, 1823 days 168.9
TCGA-2Y-A9GS-01A 58 years, male, white, stage:'--, dead, 724 days 168.3
TCGA-2Y-A9H9-01A 70 years, male, white, stage:Stage I, alive, 697 days 168.1
TCGA-DD-A3A5-01A 66 years, female, white, stage:Stage III, dead, 3125 days 164.9
TCGA-EP-A2KA-01A 52 years, female, white, stage:Stage IIIA, dead, 627 days 163.4
TCGA-CC-A7IL-01A 61 years, male, asian, stage:Stage IIIA, dead, 278 days 162.1
TCGA-DD-A39W-01A 29 years, female, white, stage:Stage III, dead, 827 days 161.4
TCGA-DD-AACL-01A 66 years, female, asian, stage:Stage I, dead, 107 days 159.8
TCGA-DD-AACB-01A 74 years, female, asian, stage:Stage I, alive, 2324 days 158.9
TCGA-2Y-A9GT-01A 51 years, male, white, stage:Stage I, dead, 1624 days 155.9
TCGA-DD-AAEE-01A 55 years, male, asian, stage:Stage I, alive, 810 days 155.5
TCGA-DD-A3A2-01A 76 years, female, white, stage:Stage I, dead, 2131 days 154.0
TCGA-UB-AA0V-01A 69 years, female, white, stage:Stage I, alive, 314 days 153.5
TCGA-G3-A3CH-01A 53 years, male, asian, stage:Stage IIIA, alive, 780 days 153.4
TCGA-CC-A8HU-01A 39 years, female, asian, stage:Stage IIIA, dead, 344 days 153.0
TCGA-2Y-A9GV-01A 54 years, female, white, stage:Stage I, dead, 2532 days 152.2
TCGA-BD-A3ER-01A 62 years, male, white, stage:Stage II, alive, 1115 days 152.0
TCGA-DD-A4ND-01A 56 years, female, white, stage:Stage I, alive, 2746 days 151.4
TCGA-BC-A110-01A 51 years, female, black or african american, stage:'--, dead, 2116 days 151.3
TCGA-5C-A9VG-01A 58 years, male, white, stage:Stage II, alive, 328 days 150.0
TCGA-K7-A5RF-01A 64 years, male, white, stage:Stage I, alive, 631 days 149.6
TCGA-O8-A75V-01A 54 years, male, stage:Stage I, alive, 538 days 148.6
TCGA-EP-A12J-01A 62 years, male, black or african american, stage:Stage I, alive, 570 days 147.8
TCGA-RC-A7SF-01A 66 years, male, asian, stage:Stage I, alive, 579 days 145.7
TCGA-RC-A6M5-01A 20 years, female, white, stage:Stage IVA, alive, 15 days 142.2
TCGA-DD-AAEG-01A 59 years, female, asian, stage:Stage I, alive, 719 days 142.0
TCGA-UB-A7MF-01A 56 years, male, white, stage:Stage IIIA, dead, 214 days 140.5
TCGA-DD-AAD6-01A 66 years, male, asian, stage:Stage IIIA, alive, 672 days 139.6
TCGA-DD-AAE1-01A 52 years, male, asian, stage:Stage I, alive, 552 days 139.4
TCGA-DD-AAD0-01A 73 years, female, asian, stage:Stage I, alive, 137 days 139.2
TCGA-DD-A1EJ-01A 71 years, female, white, stage:Stage IIIC, dead, 1005 days 137.6
TCGA-DD-A1EF-01A 57 years, female, white, stage:Stage I, dead, 394 days 136.9
TCGA-PD-A5DF-01A 58 years, female, white, stage:Stage IIIB, dead, 639 days 135.9
TCGA-RG-A7D4-01A 69 years, male, black or african american, stage:Stage II, alive, 1098 days 135.5
TCGA-DD-AAW3-01A 69 years, male, asian, stage:Stage I, alive, 1633 days 133.3
TCGA-XR-A8TE-01A 16 years, male, white, stage:Stage IIIA, alive, 925 days 133.1
TCGA-DD-A113-01A 55 years, female, white, stage:Stage II, alive, 2425 days 131.9
TCGA-DD-AADG-01A 70 years, male, asian, stage:Stage IIIA, alive, 1145 days 131.6
TCGA-BC-A10Q-01A 72 years, female, white, stage:'--, dead, 1135 days 127.6
TCGA-DD-AACN-01A 32 years, male, asian, stage:Stage I, alive, 1302 days 127.1
TCGA-2Y-A9HB-01A 66 years, male, stage:Stage I, alive, 260 days 126.4
TCGA-2Y-A9H2-01A 64 years, female, white, stage:Stage I, alive, 1731 days 123.9
TCGA-DD-A4NK-01A 80 years, female, white, stage:Stage IIIA, dead, 1210 days 123.5
TCGA-XR-A8TC-01A 43 years, female, white, stage:Stage I, alive, 1339 days 123.2
TCGA-G3-A5SK-01A 58 years, male, white, stage:Stage I, alive, 744 days 122.3
TCGA-DD-A73F-01A 77 years, female, white, stage:Stage I, alive, 1085 days 121.8
TCGA-DD-AAE9-01A 69 years, male, asian, stage:Stage I, alive, 722 days 121.1
TCGA-RC-A6M4-01A 74 years, female, white, stage:Stage IIIA, alive, 22 days 120.4
TCGA-DD-AAVR-01A 44 years, male, asian, stage:Stage I, alive, 2513 days 120.3
TCGA-DD-A73B-01A 72 years, female, white, stage:Stage I, dead, 283 days 117.7
TCGA-DD-A4NB-01A 25 years, male, white, stage:Stage I, alive, 989 days 116.3
TCGA-DD-AACP-01A 64 years, male, asian, stage:Stage I, alive, 415 days 116.1
TCGA-NI-A8LF-01A 74 years, male, white, stage:Stage I, alive, 799 days 115.9
TCGA-DD-A3A8-01A 75 years, male, white, stage:Stage II, dead, 11 days 115.3
TCGA-DD-AAVQ-01A 38 years, male, asian, stage:Stage I, alive, 2728 days 115.1
TCGA-UB-AA0U-01A 60 years, male, white, stage:Stage II, alive, 327 days 114.6
TCGA-DD-A4NN-01A 56 years, female, white, stage:Stage I, dead, 899 days 114.4
TCGA-K7-AAU7-01A 61 years, male, white, stage:Stage II, alive, 359 days 113.8
TCGA-5R-AA1D-01A 17 years, female, white, stage:Stage IIIA, alive, 449 days 112.3
TCGA-DD-A73D-01A 68 years, female, white, stage:Stage II, alive, 693 days 111.8
TCGA-BC-A10S-01A 81 years, male, white, stage:'--, dead, 1423 days 111.7
TCGA-DD-A3A3-01A 45 years, male, asian, stage:Stage I, dead, 535 days 111.7
TCGA-DD-AADJ-01A 70 years, female, asian, stage:Stage I, alive, 1066 days 110.0
TCGA-2Y-A9H6-01A 68 years, female, white, stage:Stage I, alive, 357 days 107.6
TCGA-DD-A4NL-01A 46 years, male, white, stage:Stage I, alive, 1711 days 106.7
TCGA-EP-A2KB-01A 46 years, female, white, stage:Stage I, dead, 596 days 106.5
TCGA-UB-A7MB-01A 24 years, male, white, stage:Stage II, alive, 601 days 105.8
TCGA-DD-AADQ-01A 59 years, male, asian, stage:Stage II, alive, 436 days 105.8
TCGA-CC-A8HT-01A 74 years, male, asian, stage:Stage IIIA, dead, 140 days 103.9
TCGA-BC-A3KF-01A 66 years, female, white, stage:Stage I, alive, 8 days 103.2
TCGA-G3-A5SM-01A 58 years, male, white, stage:Stage II, alive, 520 days 101.5
TCGA-2Y-A9GW-01A 64 years, male, white, stage:Stage I, dead, 1271 days 100.2
TCGA-ED-A8O6-01A 50 years, female, asian, stage:Stage IIIA, dead, 56 days 99.8
TCGA-CC-A3MA-01A 61 years, male, asian, stage:Stage IIIA, dead, 303 days 98.3
TCGA-G3-A7M5-01A 76 years, male, asian, stage:Stage I, alive, 447 days 97.9
TCGA-XR-A8TF-01A 74 years, male, white, stage:Stage I, dead, 693 days 97.1
TCGA-UB-A7ME-01A 51 years, male, asian, stage:Stage I, alive, 486 days 95.7
TCGA-2Y-A9H7-01A 81 years, female, white, stage:Stage I, alive, 1168 days 95.5
TCGA-BC-A112-01A 80 years, male, white, stage:'--, dead, 153 days 91.4
TCGA-DD-AAE7-01A 72 years, male, asian, stage:Stage I, alive, 644 days 91.1
TCGA-ZP-A9D1-01A 56 years, female, white, stage:'--, alive, 21 days 90.9
TCGA-DD-AAVZ-01A 38 years, male, asian, stage:Stage I, alive, 1900 days 90.5
TCGA-BC-A10U-01A 69 years, male, white, stage:'--, dead, 837 days 90.2
TCGA-LG-A9QD-01A 68 years, male, white, stage:Stage IIIA, alive, 366 days 90.2
TCGA-G3-AAV2-01A 50 years, male, white, stage:Stage I, alive, 372 days 89.7
TCGA-2Y-A9GU-01A 55 years, female, white, stage:Stage I, alive, 1939 days 89.7
TCGA-2Y-A9H5-01A 59 years, female, white, stage:Stage I, dead, 555 days 89.1
TCGA-DD-AAC9-01A 51 years, male, asian, stage:Stage I, alive, 347 days 89.1
TCGA-ZS-A9CG-01A 55 years, male, white, stage:Stage II, alive, 341 days 89.0
TCGA-UB-A7MA-01A 62 years, female, white, stage:Stage II, alive, 848 days 87.7
TCGA-G3-A5SI-01A 44 years, male, asian, stage:Stage II, dead, 768 days 87.7
TCGA-DD-A39Y-01A 67 years, male, asian, stage:Stage I, dead, 171 days 87.3
TCGA-DD-AACJ-01A 75 years, male, asian, stage:Stage II, alive, 2102 days 87.0
TCGA-DD-AAD5-01A 54 years, male, asian, stage:Stage I, alive, 1345 days 85.0
TCGA-BC-A10R-01A 66 years, female, white, stage:'--, dead, 308 days 83.7
TCGA-DD-AADC-01A 53 years, male, asian, stage:Stage I, dead, 425 days 82.4
TCGA-EP-A3RK-01A 73 years, male, white, stage:Stage IIIA, alive, 363 days 80.9
TCGA-2Y-A9H4-01A 68 years, male, black or african american, stage:Stage I, alive, 1452 days 80.8
TCGA-HP-A5N0-01A 90 years, female, stage:'--, dead, 752 days 80.0
TCGA-G3-A25T-01A 45 years, female, white, stage:Stage IIIA, alive, 1553 days 78.5
TCGA-DD-A118-01A 77 years, female, white, stage:Stage II, alive, 3437 days 78.2
TCGA-G3-A3CG-01A 80 years, male, white, stage:Stage I, alive, 673 days 76.9
TCGA-DD-AAE6-01A 59 years, female, asian, stage:Stage I, alive, 141 days 75.7
TCGA-CC-A8HS-01A 18 years, male, asian, stage:Stage IIIC, dead, 300 days 75.5
TCGA-DD-AADM-01A 58 years, male, asian, stage:Stage II, dead, 12 days 75.1
TCGA-DD-A11B-01A 73 years, male, white, stage:Stage I, dead, 14 days 74.2
TCGA-RC-A7S9-01A 47 years, female, asian, stage:Stage I, alive, 640 days 74.1
TCGA-DD-A4NF-01A 72 years, male, white, stage:Stage I, alive, 942 days 74.1
TCGA-BC-A3KG-01A 68 years, female, white, stage:Stage II, alive, 680 days 74.0
TCGA-DD-A1ED-01A 68 years, male, white, stage:Stage I, alive, 2301 days 73.7
TCGA-T1-A6J8-01A 68 years, male, white, stage:'--, alive, 23 days 71.6
TCGA-MI-A75H-01A 77 years, male, white, stage:'--, alive, 747 days 71.5
TCGA-G3-A5SL-01A 70 years, male, white, stage:Stage II, alive, 621 days 70.7
TCGA-DD-A4NV-01A 61 years, male, white, stage:Stage IIIA, alive, 2398 days 70.1
TCGA-MI-A75C-01A 64 years, male, white, stage:Stage I, alive, 291 days 68.9
TCGA-CC-A5UC-01A 63 years, male, asian, stage:Stage IIIA, dead, 347 days 68.2
TCGA-QA-A7B7-01A 48 years, male, black or african american, stage:Stage II, alive, 94 days 65.3
TCGA-ZS-A9CD-01A 73 years, male, white, stage:Stage II, dead, 1386 days 64.4
TCGA-DD-AADK-01A 68 years, female, asian, stage:Stage II, alive, 1049 days 62.7
TCGA-G3-A7M6-01A 60 years, female, white, stage:Stage I, alive, 632 days 62.6
TCGA-EP-A2KC-01A 62 years, male, black or african american, stage:Stage I, dead, 19 days 62.5
TCGA-DD-A4NG-01A 77 years, male, white, stage:Stage IIIA, dead, 802 days 62.0
TCGA-MI-A75E-01A 61 years, male, white, stage:Stage IIIC, alive, 507 days 60.7
TCGA-5C-A9VH-01A 70 years, male, white, stage:Stage I, alive, 322 days 60.6
TCGA-WQ-A9G7-01A 71 years, female, white, stage:'--, alive, 30 days 59.0
TCGA-KR-A7K8-01A 57 years, male, stage:Stage I, alive, 906 days 58.6
TCGA-DD-AA3A-01A 81 years, female, white, stage:Stage I, dead, 410 days 57.6
TCGA-DD-AAED-01A 51 years, male, asian, stage:Stage I, alive, 763 days 56.6
TCGA-BC-A5W4-01A 69 years, male, white, stage:Stage IIIA, dead, 547 days 56.0
TCGA-DD-AADI-01A 43 years, female, asian, stage:Stage I, alive, 1085 days 55.4
TCGA-DD-AACC-01A 61 years, male, asian, stage:Stage I, dead, 1685 days 55.4
TCGA-ZS-A9CE-01A 79 years, female, white, stage:Stage II, alive, 1241 days 55.1
TCGA-CC-A7IH-01A 58 years, male, asian, stage:Stage IIIA, alive, 365 days 53.9
TCGA-G3-AAV6-01A 53 years, female, white, stage:Stage IIIA, dead, 65 days 53.6
TCGA-DD-A39Z-01A 43 years, female, stage:Stage II, dead, 601 days 53.5
TCGA-DD-AAEA-01A 65 years, male, asian, stage:Stage I, alive, 575 days 52.6
TCGA-CC-5259-01A 60 years, female, asian, stage:Stage IIIC, alive, 250 days 52.6
TCGA-DD-A73A-01A 71 years, male, white, stage:Stage I, alive, 728 days 52.2
TCGA-2Y-A9H8-01A 85 years, female, white, stage:'--, dead, 633 days 51.2
TCGA-DD-A116-01A 68 years, male, asian, stage:Stage IIIA, dead, 1622 days 50.5
TCGA-G3-A5SJ-01A 59 years, male, white, stage:Stage I, alive, 698 days 50.1
TCGA-DD-AAD8-01A 73 years, female, asian, stage:Stage I, alive, 1219 days 49.7
TCGA-DD-A4NP-01A 32 years, male, white, stage:Stage I, alive, 3308 days 49.2
TCGA-DD-AAEH-01A 73 years, male, asian, stage:Stage I, alive, 784 days 48.0
TCGA-WX-AA44-01A 64 years, female, white, stage:Stage I, alive, 615 days 47.8
TCGA-DD-A4NE-01A 75 years, female, white, stage:Stage IIIA, dead, 660 days 47.6
TCGA-3K-AAZ8-01A 65 years, male, black or african american, stage:Stage IIIB, alive, 396 days 47.2
TCGA-ZP-A9D4-01A 64 years, female, white, stage:'--, alive, 395 days 46.6
TCGA-DD-AAVP-01A 48 years, male, asian, stage:Stage I, alive, 2752 days 45.4
TCGA-DD-AACI-01A 69 years, male, asian, stage:Stage II, alive, 1618 days 42.7
TCGA-DD-A4NI-01A 67 years, male, white, stage:Stage II, alive, 816 days 42.5
TCGA-DD-A3A7-01A 67 years, male, stage:Stage IIIB, dead, 419 days 41.0
TCGA-DD-AAVU-01A 46 years, male, asian, stage:Stage II, alive, 2202 days 41.0
TCGA-LG-A9QC-01A 48 years, male, white, stage:Stage I, alive, 425 days 39.9
TCGA-DD-A73E-01A 66 years, male, white, stage:Stage I, alive, 44 days 39.5
TCGA-KR-A7K2-01A 64 years, male, white, stage:Stage I, alive, 829 days 38.0
TCGA-WJ-A86L-01A 68 years, female, white, stage:Stage I, alive, 345 days 37.4
TCGA-DD-AAE0-01A 45 years, female, asian, stage:Stage IIIA, alive, 555 days 36.0
TCGA-DD-AADO-01A 55 years, male, asian, stage:Stage I, alive, 453 days 36.0
TCGA-DD-AACQ-01A 50 years, male, asian, stage:Stage II, dead, 432 days 35.0
TCGA-RC-A7SH-01A 42 years, male, asian, stage:Stage II, alive, 468 days 33.6
TCGA-BC-A69I-01A 69 years, male, white, stage:Stage I, alive, 387 days 33.5
TCGA-G3-A25S-01A 64 years, male, white, stage:Stage I, dead, 416 days 33.1
TCGA-G3-AAV5-01A 67 years, male, white, stage:Stage II, alive, 354 days 32.5
TCGA-EP-A26S-01A 70 years, male, white, stage:Stage I, alive, 608 days 31.6
TCGA-G3-A7M7-01A 65 years, male, white, stage:Stage I, alive, 361 days 30.8
TCGA-BC-A216-01A 62 years, female, white, stage:Stage IIIA, alive, 1351 days 30.2
TCGA-K7-A6G5-01A 66 years, male, white, stage:Stage I, alive, 512 days 29.2
TCGA-CC-A7II-01A 54 years, male, asian, stage:Stage IIIA, alive, 399 days 28.3
TCGA-DD-AADS-01A 63 years, male, asian, stage:Stage I, alive, 474 days 28.2
TCGA-FV-A4ZP-01A 78 years, male, white, stage:Stage IIIA, dead, 2486 days 26.7
TCGA-2Y-A9GY-01A 64 years, female, white, stage:Stage II, dead, 757 days 26.2
TCGA-ES-A2HT-01A 54 years, male, black or african american, stage:Stage I, dead, 438 days 25.4
TCGA-DD-A3A1-01A 65 years, male, stage:Stage IIIA, dead, 233 days 25.0
TCGA-2Y-A9H1-01A 58 years, male, white, stage:Stage I, dead, 1229 days 23.2
TCGA-DD-AADA-01A 66 years, female, asian, stage:Stage I, alive, 1233 days 22.8
TCGA-G3-AAV0-01A 58 years, male, asian, stage:Stage I, alive, 476 days 22.0
TCGA-DD-A3A9-01A 64 years, female, white, stage:Stage IVB, dead, 931 days 22.0
TCGA-G3-A25X-01A 73 years, male, asian, stage:Stage II, alive, 1779 days 22.0
TCGA-ED-A7PY-01A 20 years, female, asian, stage:Stage II, alive, 390 days 21.5
TCGA-G3-AAUZ-01A 48 years, male, stage:Stage I, alive, 480 days 21.4
TCGA-DD-A3A6-01A 72 years, female, white, stage:Stage II, dead, 3258 days 21.4
TCGA-BC-A217-01A 75 years, female, white, stage:Stage II, dead, 1397 days 21.1
TCGA-FV-A2QQ-01A 80 years, male, white, stage:Stage I, alive, 729 days 19.7
TCGA-DD-AAEB-01A 60 years, male, asian, stage:Stage I, alive, 478 days 18.5
TCGA-DD-AAE4-01A 49 years, female, asian, stage:Stage I, alive, 608 days 18.5
TCGA-G3-A3CJ-01A 52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days 18.2
TCGA-ES-A2HS-01A 80 years, male, white, stage:Stage I, dead, 688 days 16.1
TCGA-KR-A7K7-01A 61 years, female, white, stage:Stage II, alive, 951 days 15.6
TCGA-2Y-A9H3-01A 45 years, male, white, stage:Stage II, alive, 1516 days 15.5
TCGA-BD-A2L6-01A 69 years, male, white, stage:'--, alive, 1363 days 15.5
TCGA-CC-A123-01A 24 years, female, asian, stage:Stage IIIA, alive, 219 days 15.3
TCGA-DD-AACO-01A 40 years, male, asian, stage:Stage I, alive, 1876 days 14.9
TCGA-DD-AADN-01A 59 years, male, asian, stage:Stage I, alive, 898 days 14.6
TCGA-DD-AACD-01A 48 years, male, asian, stage:Stage I, dead, 381 days 14.4
TCGA-NI-A4U2-01A 71 years, male, white, stage:Stage IIIA, dead, 1791 days 14.3
TCGA-MR-A8JO-01A 34 years, male, white, stage:Stage I, alive, 330 days 14.2
TCGA-CC-A8HV-01A 51 years, female, asian, stage:Stage II, dead, 279 days 13.7
TCGA-CC-A7IE-01A 57 years, male, asian, stage:Stage IIIA, dead, 217 days 12.8
TCGA-FV-A495-01A 51 years, female, white, stage:Stage II, alive, 1 days 9.9
TCGA-DD-AACG-01A 52 years, male, asian, stage:Stage II, dead, 469 days 8.0
TCGA-BC-A69H-01A 64 years, male, white, stage:Stage II, alive, 444 days 6.2
TCGA-WQ-AB4B-01A 62 years, male, white, stage:Stage II, alive, 395 days 6.2
TCGA-DD-A119-01A 40 years, male, asian, stage:Stage IV, dead, 223 days 6.0
TCGA-DD-A73G-01A 73 years, female, white, stage:Stage I, alive, 3478 days 4.7
TCGA-DD-A39V-01A 77 years, male, white, stage:Stage II, dead, 643 days 4.4
TCGA-DD-AADF-01A 64 years, female, asian, stage:Stage I, dead, 115 days 4.3
TCGA-WX-AA47-01A 33 years, female, white, stage:Stage IIIA, dead, 556 days 1.8
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LIVER HEPATOCELLULAR CARCINOMA (VALIDATION) - Interactive survival scatter ploti

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

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

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

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

& Survival analysisi

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

CTSB 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.

: 475.27
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 569.2
Number of samples 231
Samples
Sample Description pTPM
DO23524 71 years, female, NA, stage:2, alive, 1050 days 3644.8
DO23523 52 years, male, NA, stage:3, alive, 1080 days 2761.0
DO45131 53 years, male, NA, stage:4, dead, 360 days 2488.7
DO48747 62 years, male, NA, stage:3, alive, 540 days 2271.1
DO50778 60 years, male, NA, stage:4, alive, 630 days 2060.5
DO23547 74 years, male, NA, stage:1, alive, 1020 days 1935.1
DO48720 62 years, female, NA, stage:2, alive, 570 days 1711.4
DO23535 67 years, male, NA, stage:1, alive, 960 days 1659.1
DO45155 69 years, male, NA, stage:2, alive, 2160 days 1558.9
DO45277 64 years, male, NA, stage:3, alive, 600 days 1484.2
DO45119 74 years, male, NA, stage:3, dead, 510 days 1480.6
DO50829 78 years, male, NA, stage:3, alive, 570 days 1371.4
DO45139 63 years, male, NA, stage:3, alive, 1320 days 1364.6
DO50819 72 years, female, NA, stage:2, alive, 510 days 1351.2
DO45221 75 years, female, NA, stage:4, dead, 390 days 1220.9
DO45307 54 years, female, NA, stage:4, dead, 240 days 1206.6
DO45287 74 years, male, NA, stage:1, alive, 390 days 1180.6
DO45135 77 years, male, NA, stage:1, alive, 1410 days 1093.3
DO23519 65 years, male, NA, stage:3, alive, 630 days 1069.3
DO50787 63 years, male, NA, stage:3, alive, 480 days 1052.0
DO45223 67 years, male, NA, stage:4, alive, 1020 days 1050.1
DO45092 62 years, male, NA, stage:4, dead, 1200 days 1049.1
DO48732 73 years, male, NA, stage:3, alive, 630 days 1044.0
DO45275 65 years, male, NA, stage:3, dead, 10 days 1029.0
DO48723 73 years, male, NA, stage:1, alive, 600 days 1021.2
DO45157 62 years, male, NA, stage:2, alive, 1980 days 997.3
DO45303 62 years, female, NA, stage:3, alive, 990 days 971.3
DO45281 83 years, male, NA, stage:4, alive, 750 days 910.1
DO45145 78 years, male, NA, stage:3, dead, 60 days 894.9
DO23550 69 years, male, NA, stage:1, alive, 990 days 890.7
DO23525 71 years, male, NA, stage:4, alive, 1050 days 890.3
DO23527 72 years, male, NA, stage:1, alive, 1050 days 877.2
DO45127 73 years, male, NA, stage:3, dead, 420 days 871.3
DO50800 74 years, male, NA, stage:2, alive, 510 days 855.6
DO45285 59 years, male, NA, stage:3, alive, 480 days 843.3
DO50803 62 years, female, NA, stage:1, alive, 540 days 840.7
DO45225 69 years, male, NA, stage:1, alive, 1050 days 838.5
DO45211 76 years, male, NA, stage:3, alive, 240 days 834.8
DO48725 66 years, male, NA, stage:1, alive, 780 days 828.6
DO48716 71 years, male, NA, stage:2, alive, 720 days 821.9
DO45115 81 years, male, NA, stage:2, alive, 840 days 793.0
DO45201 49 years, male, NA, stage:1, alive, 900 days 791.2
DO45231 84 years, male, NA, stage:2, alive, 930 days 785.0
DO23509 60 years, male, NA, stage:3, dead, 780 days 779.0
DO45187 32 years, female, NA, stage:1, alive, 1260 days 777.6
DO23549 74 years, male, NA, stage:3, alive, 990 days 767.5
DO45197 51 years, male, NA, stage:2, alive, 1170 days 755.6
DO23530 53 years, male, NA, stage:4, dead, 180 days 744.1
DO23521 63 years, male, NA, stage:3, alive, 1110 days 718.5
DO50822 66 years, male, NA, stage:2, alive, 510 days 714.0
DO45261 74 years, male, NA, stage:3, alive, 990 days 713.4
DO50813 56 years, male, NA, stage:2, alive, 420 days 711.4
DO48730 73 years, female, NA, stage:2, alive, 630 days 711.4
DO23515 71 years, male, NA, stage:2, alive, 1230 days 703.6
DO45141 73 years, male, NA, stage:2, alive, 1320 days 703.0
DO50789 73 years, female, NA, stage:2, alive, 570 days 702.6
DO48719 80 years, male, NA, stage:2, alive, 690 days 698.6
DO45249 57 years, male, NA, stage:1, alive, 630 days 677.3
DO23536 56 years, male, NA, stage:2, alive, 930 days 675.4
DO23545 67 years, male, NA, stage:2, dead, 570 days 664.0
DO48728 74 years, female, NA, stage:2, alive, 150 days 653.0
DO50807 67 years, male, NA, stage:1, alive, 540 days 652.1
DO48760 70 years, female, NA, stage:2, alive, 690 days 651.7
DO48693 71 years, male, NA, stage:2, alive, 900 days 648.6
DO45207 68 years, male, NA, stage:1, alive, 1050 days 636.9
DO45255 81 years, male, NA, stage:3, alive, 720 days 629.0
DO45117 73 years, female, NA, stage:2, dead, 1110 days 626.2
DO23531 78 years, female, NA, stage:3, alive, 900 days 625.3
DO23548 78 years, female, NA, stage:1, alive, 840 days 614.1
DO45113 58 years, male, NA, stage:3, alive, 1560 days 607.9
DO23542 66 years, male, NA, stage:3, alive, 960 days 604.2
DO50774 68 years, female, NA, stage:2, alive, 720 days 599.1
DO50859 77 years, male, NA, stage:2, alive, 180 days 595.5
DO45177 81 years, female, NA, stage:3, alive, 1260 days 593.5
DO45193 68 years, female, NA, stage:4, dead, 120 days 592.1
DO45153 77 years, female, NA, stage:2, alive, 1380 days 591.9
DO45181 84 years, female, NA, stage:2, alive, 1200 days 588.9
DO23543 63 years, male, NA, stage:2, alive, 1020 days 576.8
DO45111 74 years, male, NA, stage:2, alive, 1590 days 576.2
DO45167 67 years, male, NA, stage:2, dead, 1440 days 570.0
DO45301 56 years, male, NA, stage:2, dead, 1440 days 562.9
DO45235 68 years, female, NA, stage:1, alive, 900 days 556.9
DO45096 69 years, male, NA, stage:2, dead, 1290 days 544.9
DO45305 66 years, male, NA, stage:4, alive, 300 days 543.1
DO45229 74 years, male, NA, stage:1, alive, 990 days 541.6
DO48751 68 years, male, NA, stage:2, dead, 480 days 527.0
DO23551 73 years, male, NA, stage:3, dead, 150 days 521.7
DO23511 83 years, female, NA, stage:3, dead, 180 days 516.3
DO48721 58 years, female, NA, stage:1, alive, 900 days 513.9
DO45137 38 years, male, NA, stage:1, alive, 1320 days 513.0
DO50850 74 years, male, NA, stage:3, alive, 720 days 511.5
DO45195 62 years, male, NA, stage:1, alive, 390 days 510.0
DO45107 63 years, female, NA, stage:2, alive, 1710 days 505.1
DO48733 72 years, male, NA, stage:2, alive, 600 days 503.4
DO50783 62 years, male, NA, stage:3, alive, 480 days 499.1
DO23518 67 years, male, NA, stage:2, alive, 1320 days 498.5
DO50805 72 years, male, NA, stage:2, alive, 690 days 489.5
DO23544 67 years, male, NA, stage:2, alive, 960 days 484.1
DO48727 81 years, female, NA, stage:2, dead, 390 days 482.2
DO45217 69 years, female, NA, stage:3, dead, 270 days 482.2
DO45297 61 years, female, NA, stage:4, dead, 1260 days 478.2
DO45267 73 years, male, NA, stage:3, dead, 570 days 477.1
DO23514 64 years, male, NA, stage:2, alive, 1290 days 475.4
DO48697 64 years, female, NA, stage:2, dead, 810 days 475.3
DO48704 68 years, female, NA, stage:3, alive, 750 days 472.6
DO48674 80 years, male, NA, stage:2, alive, 1260 days 469.1
DO48742 76 years, male, NA, stage:2, alive, 600 days 464.8
DO45159 65 years, male, NA, stage:3, alive, 1470 days 464.8
DO23510 80 years, female, NA, stage:2, alive, 870 days 460.9
DO48743 69 years, female, NA, stage:2, alive, 570 days 457.7
DO23534 60 years, male, NA, stage:2, alive, 840 days 457.1
DO50808 68 years, male, NA, stage:2, alive, 570 days 455.0
DO45237 58 years, male, NA, stage:2, alive, 900 days 453.0
DO45103 47 years, male, NA, stage:3, alive, 450 days 448.0
DO23538 67 years, male, NA, stage:2, alive, 450 days 445.7
DO45259 65 years, male, NA, stage:3, alive, 330 days 445.3
DO45215 65 years, male, NA, stage:2, alive, 1170 days 445.0
DO48761 55 years, male, NA, stage:2, alive, 870 days 443.8
DO45091 56 years, male, NA, stage:2, dead, 1320 days 442.0
DO45273 62 years, male, NA, stage:2, alive, 480 days 438.6
DO45279 67 years, male, NA, stage:3, alive, 1290 days 422.4
DO45283 60 years, male, NA, stage:3, alive, 510 days 421.9
DO50832 73 years, male, NA, stage:3, alive, 90 days 419.8
DO50806 70 years, male, NA, stage:4, alive, 540 days 419.7
DO48672 81 years, male, NA, stage:2, alive, 450 days 418.5
DO45143 69 years, male, NA, stage:3, alive, 1290 days 416.1
DO50839 47 years, female, NA, stage:3, alive, 330 days 414.2
DO50820 77 years, female, NA, stage:3, alive, 510 days 412.9
DO45179 78 years, female, NA, stage:2, alive, 600 days 411.0
DO48679 72 years, male, NA, stage:2, alive, 1200 days 410.1
DO50809 56 years, male, NA, stage:3, dead, 720 days 409.2
DO23513 76 years, male, NA, stage:3, alive, 1200 days 408.8
DO48737 52 years, male, NA, stage:1, alive, 720 days 408.7
DO45263 67 years, male, NA, stage:3, dead, 270 days 407.5
DO23512 60 years, male, NA, stage:1, alive, 1260 days 405.3
DO45165 75 years, male, NA, stage:2, alive, 690 days 397.5
DO48700 78 years, female, NA, stage:2, alive, 810 days 397.5
DO23532 71 years, female, NA, stage:1, alive, 960 days 394.8
DO23539 77 years, male, NA, stage:1, alive, 1110 days 392.8
DO45269 59 years, male, NA, stage:3, alive, 750 days 392.4
DO48681 57 years, male, NA, stage:2, alive, 900 days 391.2
DO48759 73 years, male, NA, stage:3, alive, 720 days 391.0
DO50818 65 years, male, NA, stage:2, alive, 510 days 389.1
DO45239 42 years, male, NA, stage:2, alive, 870 days 389.0
DO45227 57 years, female, NA, stage:2, alive, 1020 days 379.7
DO23508 79 years, female, NA, stage:2, alive, 390 days 376.3
DO45129 61 years, male, NA, stage:3, alive, 1470 days 375.8
DO50776 75 years, male, NA, stage:1, alive, 690 days 374.7
DO45093 71 years, male, NA, stage:2, dead, 720 days 373.3
DO45233 83 years, male, NA, stage:3, alive, 900 days 372.7
DO50857 72 years, male, NA, stage:2, alive, 210 days 369.1
DO45149 70 years, female, NA, stage:2, alive, 1260 days 366.4
DO45219 78 years, male, NA, stage:2, alive, 1080 days 361.2
DO50802 49 years, male, NA, stage:2, alive, 930 days 355.1
DO45257 46 years, male, NA, stage:3, alive, 810 days 355.0
DO23541 65 years, male, NA, stage:2, alive, 930 days 354.6
DO45299 70 years, female, NA, stage:1, alive, 1440 days 352.3
DO45205 67 years, female, NA, stage:2, dead, 90 days 351.1
DO50793 76 years, male, NA, stage:4, alive, 540 days 349.4
DO45094 76 years, male, NA, stage:3, alive, 1650 days 349.4
DO227801 77 years, female, NA, stage:1, alive, 660 days 348.5
DO45245 75 years, female, NA, stage:2, dead, 240 days 346.0
DO45199 86 years, female, NA, stage:2, alive, 1350 days 343.9
DO45173 63 years, male, NA, stage:3, alive, 1170 days 340.6
DO23537 79 years, male, NA, stage:2, dead, 900 days 340.6
DO45185 89 years, male, NA, stage:2, alive, 600 days 338.9
DO50785 37 years, male, NA, stage:4, dead, 90 days 335.7
DO45265 73 years, male, NA, stage:3, alive, 1020 days 331.5
DO48712 50 years, male, NA, stage:2, alive, 810 days 329.6
DO45209 70 years, male, NA, stage:4, alive, 1350 days 328.4
DO23526 66 years, male, NA, stage:3, alive, 1050 days 322.9
DO50799 66 years, female, NA, stage:2, alive, 540 days 317.1
DO23552 80 years, female, NA, stage:1, alive, 810 days 314.7
DO50798 77 years, male, NA, stage:3, dead, 30 days 314.2
DO50817 75 years, male, NA, stage:2, alive, 390 days 313.2
DO23546 63 years, male, NA, stage:2, alive, 1050 days 306.1
DO45161 74 years, male, NA, stage:2, dead, 540 days 298.8
DO45095 66 years, male, NA, stage:2, alive, 1620 days 298.6
DO45121 61 years, male, NA, stage:3, alive, 1530 days 298.4
DO23540 73 years, male, NA, stage:1, alive, 750 days 298.3
DO23517 62 years, male, NA, stage:2, alive, 1200 days 294.9
DO50815 62 years, male, NA, stage:3, alive, 150 days 292.7
DO227643 79 years, male, NA, stage:2, alive, 1260 days 289.2
DO45183 72 years, female, NA, stage:2, dead, 570 days 286.0
DO48746 76 years, male, NA, stage:3, alive, 570 days 284.0
DO48741 64 years, male, NA, stage:3, alive, 240 days 276.9
DO45109 63 years, male, NA, stage:2, alive, 1590 days 275.6
DO48757 68 years, female, NA, stage:3, alive, 480 days 271.3
DO45251 57 years, female, NA, stage:2, alive, 900 days 271.2
DO50804 81 years, male, NA, stage:2, alive, 720 days 266.7
DO50825 70 years, male, NA, stage:2, alive, 390 days 266.7
DO48677 58 years, male, NA, stage:3, alive, 1140 days 253.8
DO48715 58 years, female, NA, stage:2, dead, 690 days 250.1
DO45105 61 years, male, NA, stage:1, alive, 1680 days 246.4
DO45247 31 years, female, NA, stage:2, alive, 210 days 245.3
DO45169 74 years, male, NA, stage:3, alive, 1350 days 245.2
DO50844 75 years, male, NA, stage:4, alive, 300 days 242.2
DO45171 56 years, male, NA, stage:3, alive, 600 days 239.4
DO45253 50 years, male, NA, stage:2, alive, 870 days 237.8
DO45213 58 years, male, NA, stage:1, alive, 1200 days 234.9
DO45101 63 years, male, NA, stage:2, alive, 1680 days 228.9
DO45099 46 years, male, NA, stage:3, alive, 1590 days 228.8
DO23528 45 years, female, NA, stage:2, alive, 1020 days 224.8
DO45289 78 years, female, NA, stage:3, alive, 360 days 222.3
DO23516 69 years, male, NA, stage:3, dead, 20 days 217.8
DO50840 49 years, male, NA, stage:2, alive, 330 days 212.3
DO23533 61 years, male, NA, stage:2, alive, 900 days 209.7
DO45123 78 years, female, NA, stage:2, dead, 570 days 207.3
DO45203 71 years, female, NA, stage:2, alive, 1170 days 206.7
DO50814 83 years, male, NA, stage:3, alive, 420 days 197.7
DO48736 76 years, female, NA, stage:1, alive, 600 days 197.5
DO48695 77 years, male, NA, stage:2, alive, 720 days 195.4
DO45243 74 years, female, NA, stage:3, alive, 930 days 194.3
DO45191 61 years, female, NA, stage:2, alive, 1200 days 188.6
DO45189 85 years, female, NA, stage:2, alive, 1200 days 187.0
DO50791 79 years, female, NA, stage:1, dead, 480 days 179.4
DO45241 49 years, male, NA, stage:1, alive, 1080 days 178.2
DO50855 47 years, male, NA, stage:2, alive, 570 days 176.1
DO45133 64 years, male, NA, stage:3, dead, 660 days 173.1
DO48701 78 years, male, NA, stage:2, alive, 780 days 170.9
DO45163 76 years, male, NA, stage:2, alive, 960 days 170.6
DO23529 72 years, male, NA, stage:4, alive, 930 days 169.2
DO45175 74 years, male, NA, stage:2, alive, 1140 days 157.6
DO48682 72 years, female, NA, stage:3, dead, 120 days 156.5
DO50845 72 years, male, NA, stage:3, alive, 210 days 156.1
DO48717 54 years, male, NA, stage:4, dead, 180 days 155.4
DO45097 69 years, male, NA, stage:3, alive, 1620 days 150.1
DO50811 62 years, male, NA, stage:1, alive, 450 days 148.5
DO48706 72 years, male, NA, stage:2, alive, 870 days 116.5
DO50816 63 years, male, NA, stage:2, alive, 390 days 107.7
DO45125 58 years, male, NA, stage:3, alive, 1680 days 105.6
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LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples 330
Samples
Sample ID Sample type nRPX
851 Tumor 1.6
745 Tumor 1.4
1027 Tumor 1.2
257 Tumor 1.1
937 Tumor 1.0
363 Tumor 1.0
451 Tumor 1.0
125 Tumor 0.9
147 Tumor 0.8
957 Tumor 0.7
1043 Tumor 0.7
744 Normal 0.7
755 Tumor 0.7
617 Tumor 0.7
538 Normal 0.7
635 Tumor 0.6
715 Tumor 0.6
878 Normal 0.6
554 Normal 0.5
746 Normal 0.5
953 Tumor 0.5
124 Normal 0.5
955 Tumor 0.5
636 Normal 0.5
313 Tumor 0.4
817 Tumor 0.4
435 Tumor 0.4
685 Tumor 0.4
966 Normal 0.4
421 Tumor 0.4
452 Normal 0.4
911 Tumor 0.4
661 Tumor 0.3
568 Normal 0.3
394 Normal 0.3
984 Normal 0.3
1028 Normal 0.3
114 Normal 0.3
952 Normal 0.3
713 Tumor 0.3
342 Normal 0.3
686 Normal 0.3
474 Normal 0.3
492 Normal 0.3
951 Tumor 0.3
723 Tumor 0.3
778 Normal 0.3
128 Normal 0.3
356 Normal 0.3
414 Normal 0.3
567 Tumor 0.3
518 Normal 0.3
432 Normal 0.3
912 Normal 0.3
112 Tumor 0.3
916 Normal 0.3
738 Normal 0.3
278 Normal 0.3
864 Normal 0.2
434 Normal 0.2
395 Tumor 0.2
314 Normal 0.2
526 Normal 0.2
477 Tumor 0.2
466 Normal 0.2
564 Normal 0.2
436 Normal 0.2
343 Tumor 0.2
1016 Normal 0.2
913 Tumor 0.2
742 Normal 0.2
975 Tumor 0.2
722 Normal 0.2
824 Normal 0.2
924 Normal 0.2
482 Normal 0.2
214 Normal 0.2
388 Normal 0.2
468 Normal 0.2
862 Normal 0.2
558 Normal 0.2
462 Normal 0.2
493 Tumor 0.2
344 Normal 0.2
572 Normal 0.2
494 Normal 0.2
728 Normal 0.1
546 Normal 0.1
142 Normal 0.1
311 Tumor 0.1
332 Normal 0.1
286 Normal 0.1
874 Normal 0.1
353 Tumor 0.1
915 Tumor 0.1
1014 Normal 0.1
392 Normal 0.1
352 Normal 0.1
956 Normal 0.1
618 Normal 0.1
816 Normal 0.1
362 Normal 0.1
716 Normal 0.1
982 Normal 0.1
1044 Normal 0.1
976 Normal 0.1
537 Tumor 0.1
513 Tumor 0.1
954 Normal 0.1
944 Normal 0.1
186 Normal 0.1
222 Normal 0.1
446 Normal 0.1
424 Normal 0.1
464 Normal 0.1
786 Normal 0.1
1026 Normal 0.1
922 Normal 0.1
557 Tumor 0.1
981 Tumor 0.1
698 Normal 0.1
448 Normal 0.1
148 Normal 0.1
427 Tumor 0.1
212 Normal 0.1
918 Normal 0.1
866 Normal 0.1
1041 Tumor 0.1
484 Normal 0.0
852 Normal 0.0
412 Normal 0.0
136 Normal 0.0
364 Normal 0.0
191 Tumor 0.0
721 Tumor 0.0
132 Normal 0.0
642 Normal 0.0
858 Normal 0.0
756 Normal 0.0
861 Tumor 0.0
223 Tumor 0.0
868 Normal 0.0
914 Normal 0.0
664 Normal 0.0
925 Tumor 0.0
491 Tumor 0.0
162 Normal 0.0
938 Normal 0.0
697 Tumor 0.0
172 Normal 0.0
312 Normal 0.0
268 Normal 0.0
376 Normal 0.0
525 Tumor 0.0
354 Normal 0.0
368 Normal 0.0
196 Normal 0.0
648 Normal 0.0
227 Tumor 0.0
882 Normal 0.0
1022 Normal 0.0
714 Normal 0.0
488 Normal 0.0
696 Normal 0.0
391 Tumor 0.0
823 Tumor 0.0
514 Normal 0.0
524 Normal 0.0
428 Normal 0.0
358 Normal 0.0
224 Normal 0.0
528 Normal 0.0
328 Normal 0.0
574 Normal 0.0
498 Normal 0.0
534 Normal 0.0
1042 Normal 0.0
135 Tumor 0.0
553 Tumor 0.0
978 Normal 0.0
298 Normal 0.0
341 Tumor 0.0
815 Tumor -0.1
662 Normal -0.1
366 Normal -0.1
1032 Normal -0.1
422 Normal -0.1
818 Normal -0.1
423 Tumor -0.1
672 Normal -0.1
228 Normal -0.1
138 Normal -0.1
232 Normal -0.1
1015 Tumor -0.1
516 Normal -0.1
272 Normal -0.1
146 Normal -0.1
616 Normal -0.1
195 Tumor -0.1
396 Normal -0.1
126 Normal -0.1
131 Tumor -0.1
535 Tumor -0.1
386 Normal -0.1
628 Normal -0.1
724 Normal -0.1
983 Tumor -0.1
968 Normal -0.1
536 Normal -0.1
917 Tumor -0.1
218 Normal -0.1
444 Normal -0.1
188 Normal -0.1
463 Tumor -0.2
284 Normal -0.2
217 Tumor -0.2
258 Normal -0.2
884 Normal -0.2
563 Tumor -0.2
384 Normal -0.2
964 Normal -0.2
921 Tumor -0.2
467 Tumor -0.2
873 Tumor -0.2
533 Tumor -0.2
262 Normal -0.2
478 Normal -0.2
958 Normal -0.2
926 Normal -0.2
465 Tumor -0.2
445 Tumor -0.2
433 Tumor -0.2
426 Normal -0.2
472 Normal -0.2
113 Tumor -0.2
221 Tumor -0.2
666 Normal -0.2
387 Tumor -0.2
1045 Tumor -0.3
447 Tumor -0.3
145 Tumor -0.3
385 Tumor -0.3
416 Normal -0.3
943 Tumor -0.3
327 Tumor -0.3
883 Tumor -0.3
517 Tumor -0.3
857 Tumor -0.3
111 Normal -0.3
571 Tumor -0.3
127 Tumor -0.3
1031 Tumor -0.3
1046 Normal -0.3
415 Tumor -0.3
977 Tumor -0.3
283 Tumor -0.3
515 Tumor -0.3
615 Tumor -0.3
573 Tumor -0.3
231 Tumor -0.3
141 Tumor -0.3
187 Tumor -0.4
867 Tumor -0.4
663 Tumor -0.4
665 Tumor -0.4
185 Tumor -0.4
813 Tumor -0.4
877 Tumor -0.4
963 Tumor -0.4
1021 Tumor -0.4
213 Tumor -0.4
785 Tumor -0.5
461 Tumor -0.5
211 Tumor -0.5
192 Normal -0.5
1013 Tumor -0.5
355 Tumor -0.5
727 Tumor -0.5
965 Tumor -0.5
497 Tumor -0.5
331 Tumor -0.5
425 Tumor -0.5
123 Tumor -0.5
367 Tumor -0.5
483 Tumor -0.5
814 Normal -0.6
923 Tumor -0.6
743 Tumor -0.6
473 Tumor -0.6
393 Tumor -0.6
161 Tumor -0.6
137 Tumor -0.6
456 Normal -0.6
741 Tumor -0.6
641 Tumor -0.6
1025 Tumor -0.6
967 Tumor -0.6
865 Tumor -0.6
737 Tumor -0.6
365 Tumor -0.7
443 Tumor -0.7
545 Tumor -0.7
627 Tumor -0.7
527 Tumor -0.7
277 Tumor -0.7
671 Tumor -0.7
881 Tumor -0.7
375 Tumor -0.7
267 Tumor -0.7
523 Tumor -0.7
383 Tumor -0.7
431 Tumor -0.8
777 Tumor -0.8
481 Tumor -0.8
261 Tumor -0.8
647 Tumor -0.8
413 Tumor -0.8
411 Tumor -0.8
285 Tumor -0.8
297 Tumor -0.9
171 Tumor -0.9
361 Tumor -0.9
351 Tumor -0.9
863 Tumor -1.0
357 Tumor -1.0
471 Tumor -1.0
487 Tumor -1.1
271 Tumor -1.1
455 Tumor -1.2
695 Tumor -1.2
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 HPA018156

Antibody HPA048998

Antibody CAB000457
 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
Adenocarcinoma, NOS
Cholangiocarcinoma

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