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PSMB4
HPA
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  • SUMMARY

  • TISSUE

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  • STRUCT & INT

  • PSMB4
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.

PSMB4 is potential prognostic, high expression is unfavorable in Liver Hepatocellular Carcinoma (TCGA)


Stage:


Survival analysis
Current cut offi

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

:
Best expression cut offi

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

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

: 527.15
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 441.0
Number of samples 362
Samples
Sample Description pTPM
TCGA-BC-A217-01A 75 years, female, white, stage:Stage II, dead, 1397 days 2967.9
TCGA-DD-AACS-01A 39 years, male, asian, stage:Stage I, alive, 1804 days 1217.2
TCGA-DD-AAVV-01A 56 years, male, asian, stage:Stage II, alive, 2455 days 1198.7
TCGA-BC-A10W-01A 50 years, male, asian, stage:'--, dead, 91 days 1099.9
TCGA-G3-A25X-01A 73 years, male, asian, stage:Stage II, alive, 1779 days 1049.2
TCGA-G3-AAV7-01A 38 years, male, asian, stage:Stage II, alive, 361 days 1022.7
TCGA-CC-A5UD-01A 45 years, male, asian, stage:Stage IIIA, dead, 304 days 991.4
TCGA-DD-AACI-01A 69 years, male, asian, stage:Stage II, alive, 1618 days 990.2
TCGA-DD-AA3A-01A 81 years, female, white, stage:Stage I, dead, 410 days 978.4
TCGA-CC-A3MC-01A 54 years, male, asian, stage:Stage IIIA, alive, 363 days 946.4
TCGA-DD-AAEG-01A 59 years, female, asian, stage:Stage I, alive, 719 days 931.2
TCGA-DD-AAVP-01A 48 years, male, asian, stage:Stage I, alive, 2752 days 930.4
TCGA-CC-A1HT-01A 50 years, male, asian, stage:Stage IIIA, dead, 101 days 844.9
TCGA-CC-A3MA-01A 61 years, male, asian, stage:Stage IIIA, dead, 303 days 844.7
TCGA-DD-A39X-01A 78 years, female, white, stage:Stage I, dead, 1694 days 817.9
TCGA-DD-AACH-01A 69 years, male, asian, stage:Stage II, dead, 195 days 806.2
TCGA-UB-A7MB-01A 24 years, male, white, stage:Stage II, alive, 601 days 802.5
TCGA-DD-AAC8-01A 72 years, male, asian, stage:Stage I, dead, 16 days 800.8
TCGA-BC-A3KG-01A 68 years, female, white, stage:Stage II, alive, 680 days 794.3
TCGA-DD-AAD0-01A 73 years, female, asian, stage:Stage I, alive, 137 days 792.7
TCGA-BC-A8YO-01A 66 years, female, white, stage:Stage IIIC, alive, 562 days 779.7
TCGA-UB-A7MF-01A 56 years, male, white, stage:Stage IIIA, dead, 214 days 755.2
TCGA-G3-A7M9-01A 70 years, male, white, stage:Stage IIIB, dead, 56 days 738.1
TCGA-CC-A7IG-01A 47 years, male, asian, stage:Stage II, dead, 299 days 733.8
TCGA-UB-A7MA-01A 62 years, female, white, stage:Stage II, alive, 848 days 725.7
TCGA-G3-A25S-01A 64 years, male, white, stage:Stage I, dead, 416 days 717.5
TCGA-QA-A7B7-01A 48 years, male, black or african american, stage:Stage II, alive, 94 days 714.1
TCGA-CC-A5UE-01A 48 years, male, asian, stage:Stage IIIB, dead, 272 days 712.9
TCGA-DD-A3A7-01A 67 years, male, stage:Stage IIIB, dead, 419 days 712.7
TCGA-DD-AAD3-01A 43 years, male, asian, stage:Stage I, alive, 1295 days 700.2
TCGA-DD-A39Y-01A 67 years, male, asian, stage:Stage I, dead, 171 days 696.8
TCGA-DD-A4NN-01A 56 years, female, white, stage:Stage I, dead, 899 days 686.4
TCGA-XR-A8TG-01A 58 years, male, white, stage:Stage I, alive, 898 days 677.8
TCGA-WX-AA44-01A 64 years, female, white, stage:Stage I, alive, 615 days 667.2
TCGA-FV-A495-01A 51 years, female, white, stage:Stage II, alive, 1 days 652.2
TCGA-WQ-A9G7-01A 71 years, female, white, stage:'--, alive, 30 days 647.3
TCGA-DD-AADM-01A 58 years, male, asian, stage:Stage II, dead, 12 days 644.7
TCGA-DD-A3A9-01A 64 years, female, white, stage:Stage IVB, dead, 931 days 641.1
TCGA-YA-A8S7-01A 68 years, male, white, stage:Stage IIIA, dead, 412 days 639.6
TCGA-FV-A2QR-01A 75 years, male, white, stage:Stage I, dead, 581 days 634.9
TCGA-DD-AACJ-01A 75 years, male, asian, stage:Stage II, alive, 2102 days 633.9
TCGA-DD-A114-01A 42 years, male, black or african american, stage:Stage II, dead, 1149 days 631.8
TCGA-DD-AACL-01A 66 years, female, asian, stage:Stage I, dead, 107 days 629.4
TCGA-CC-A8HT-01A 74 years, male, asian, stage:Stage IIIA, dead, 140 days 624.0
TCGA-KR-A7K7-01A 61 years, female, white, stage:Stage II, alive, 951 days 618.9
TCGA-DD-AAE0-01A 45 years, female, asian, stage:Stage IIIA, alive, 555 days 618.5
TCGA-5R-AA1C-01A 57 years, male, white, stage:Stage II, alive, 520 days 618.1
TCGA-DD-AADD-01A 51 years, male, asian, stage:Stage I, alive, 1231 days 616.7
TCGA-CC-A8HU-01A 39 years, female, asian, stage:Stage IIIA, dead, 344 days 615.7
TCGA-G3-A3CJ-01A 52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days 614.2
TCGA-RC-A7SH-01A 42 years, male, asian, stage:Stage II, alive, 468 days 612.7
TCGA-CC-A7IH-01A 58 years, male, asian, stage:Stage IIIA, alive, 365 days 612.0
TCGA-BC-A10Z-01A 62 years, female, white, stage:Stage I, dead, 34 days 607.8
TCGA-O8-A75V-01A 54 years, male, stage:Stage I, alive, 538 days 607.4
TCGA-DD-A1EG-01A 76 years, male, white, stage:Stage I, dead, 1372 days 607.3
TCGA-5C-A9VG-01A 58 years, male, white, stage:Stage II, alive, 328 days 607.3
TCGA-ES-A2HT-01A 54 years, male, black or african american, stage:Stage I, dead, 438 days 606.5
TCGA-DD-AAE9-01A 69 years, male, asian, stage:Stage I, alive, 722 days 602.8
TCGA-WQ-AB4B-01A 62 years, male, white, stage:Stage II, alive, 395 days 600.3
TCGA-ZP-A9D2-01A 51 years, male, white, stage:'--, dead, 765 days 594.9
TCGA-ED-A7PZ-01A 61 years, male, asian, stage:Stage II, alive, 6 days 590.4
TCGA-DD-A1EA-01A 68 years, male, asian, stage:Stage II, alive, 2415 days 589.3
TCGA-CC-5264-01A 71 years, male, asian, stage:Stage IIIA, dead, 102 days 587.2
TCGA-MI-A75H-01A 77 years, male, white, stage:'--, alive, 747 days 584.1
TCGA-DD-AADI-01A 43 years, female, asian, stage:Stage I, alive, 1085 days 582.5
TCGA-DD-A1EE-01A 73 years, male, white, stage:Stage IIIA, dead, 349 days 575.5
TCGA-DD-AADC-01A 53 years, male, asian, stage:Stage I, dead, 425 days 572.2
TCGA-ED-A7XP-01A 53 years, female, asian, stage:Stage II, alive, 400 days 570.2
TCGA-DD-AAD5-01A 54 years, male, asian, stage:Stage I, alive, 1345 days 568.2
TCGA-2Y-A9GY-01A 64 years, female, white, stage:Stage II, dead, 757 days 567.6
TCGA-GJ-A6C0-01A 75 years, female, white, stage:Stage II, dead, 31 days 560.7
TCGA-DD-A73D-01A 68 years, female, white, stage:Stage II, alive, 693 days 556.5
TCGA-CC-A3MB-01A 36 years, male, asian, stage:Stage IIIA, dead, 315 days 556.1
TCGA-DD-AAVY-01A 56 years, male, asian, stage:Stage IIIA, alive, 1970 days 552.6
TCGA-G3-A25Y-01A 52 years, female, asian, stage:Stage I, dead, 452 days 550.8
TCGA-CC-A8HV-01A 51 years, female, asian, stage:Stage II, dead, 279 days 543.9
TCGA-G3-A3CG-01A 80 years, male, white, stage:Stage I, alive, 673 days 540.3
TCGA-DD-A3A5-01A 66 years, female, white, stage:Stage III, dead, 3125 days 537.5
TCGA-G3-AAV5-01A 67 years, male, white, stage:Stage II, alive, 354 days 537.4
TCGA-DD-AADW-01A 48 years, male, asian, stage:Stage I, alive, 587 days 535.3
TCGA-CC-A7IK-01A 59 years, male, asian, stage:Stage IIIA, dead, 262 days 534.8
TCGA-EP-A3JL-01A 76 years, male, white, stage:Stage I, alive, 303 days 534.2
TCGA-UB-A7MD-01A 67 years, male, black or african american, stage:Stage I, dead, 52 days 531.8
TCGA-EP-A3RK-01A 73 years, male, white, stage:Stage IIIA, alive, 363 days 531.2
TCGA-BC-A10Y-01A 76 years, male, white, stage:'--, dead, 711 days 528.1
TCGA-EP-A2KA-01A 52 years, female, white, stage:Stage IIIA, dead, 627 days 527.1
TCGA-5C-AAPD-01A 61 years, male, asian, stage:Stage II, alive, 20 days 525.2
TCGA-LG-A9QC-01A 48 years, male, white, stage:Stage I, alive, 425 days 524.8
TCGA-DD-A73G-01A 73 years, female, white, stage:Stage I, alive, 3478 days 524.1
TCGA-DD-AAVQ-01A 38 years, male, asian, stage:Stage I, alive, 2728 days 520.7
TCGA-DD-AAVZ-01A 38 years, male, asian, stage:Stage I, alive, 1900 days 520.5
TCGA-DD-A1EL-01A 23 years, male, black or african american, stage:Stage II, dead, 415 days 520.4
TCGA-CC-5261-01A 44 years, male, asian, stage:Stage II, dead, 97 days 516.3
TCGA-DD-AACX-01A 66 years, male, asian, stage:Stage II, alive, 170 days 515.6
TCGA-5C-A9VH-01A 70 years, male, white, stage:Stage I, alive, 322 days 510.5
TCGA-MI-A75G-01A 63 years, male, white, stage:Stage II, alive, 698 days 510.0
TCGA-BC-A69H-01A 64 years, male, white, stage:Stage II, alive, 444 days 507.4
TCGA-FV-A3I1-01A 81 years, female, white, stage:Stage II, dead, 247 days 506.4
TCGA-DD-AAEE-01A 55 years, male, asian, stage:Stage I, alive, 810 days 505.4
TCGA-ZP-A9CV-01A 59 years, male, white, stage:'--, dead, 1088 days 504.9
TCGA-DD-AACZ-01A 63 years, female, asian, stage:Stage I, dead, 171 days 504.4
TCGA-DD-A4NO-01A 65 years, male, white, stage:Stage I, alive, 2245 days 501.7
TCGA-CC-A3M9-01A 45 years, male, asian, stage:Stage IIIA, dead, 300 days 500.3
TCGA-ED-A82E-01A 60 years, female, asian, stage:Stage IIIA, alive, 408 days 497.4
TCGA-ED-A7PX-01A 48 years, female, asian, stage:Stage II, alive, 6 days 496.5
TCGA-DD-A119-01A 40 years, male, asian, stage:Stage IV, dead, 223 days 495.4
TCGA-G3-AAV1-01A 51 years, male, asian, stage:Stage IIIC, dead, 359 days 493.7
TCGA-DD-A39V-01A 77 years, male, white, stage:Stage II, dead, 643 days 493.0
TCGA-MI-A75C-01A 64 years, male, white, stage:Stage I, alive, 291 days 492.8
TCGA-DD-AAD2-01A 66 years, male, asian, stage:Stage I, alive, 658 days 492.5
TCGA-DD-AAVR-01A 44 years, male, asian, stage:Stage I, alive, 2513 days 486.5
TCGA-3K-AAZ8-01A 65 years, male, black or african american, stage:Stage IIIB, alive, 396 days 486.2
TCGA-MI-A75I-01A 61 years, male, black or african american, stage:'--, alive, 630 days 480.8
TCGA-DD-A3A3-01A 45 years, male, asian, stage:Stage I, dead, 535 days 480.5
TCGA-ED-A66X-01A 35 years, male, asian, stage:Stage IIIA, alive, 406 days 477.7
TCGA-DD-A4NH-01A 65 years, female, white, stage:Stage IIIB, alive, 917 days 477.3
TCGA-DD-A4NF-01A 72 years, male, white, stage:Stage I, alive, 942 days 476.2
TCGA-DD-AADF-01A 64 years, female, asian, stage:Stage I, dead, 115 days 476.2
TCGA-DD-AACU-01A 59 years, male, asian, stage:Stage I, alive, 1567 days 474.5
TCGA-DD-A113-01A 55 years, female, white, stage:Stage II, alive, 2425 days 473.6
TCGA-DD-AADO-01A 55 years, male, asian, stage:Stage I, alive, 453 days 471.5
TCGA-KR-A7K0-01A 65 years, male, white, stage:Stage I, dead, 65 days 469.0
TCGA-RG-A7D4-01A 69 years, male, black or african american, stage:Stage II, alive, 1098 days 466.3
TCGA-FV-A4ZP-01A 78 years, male, white, stage:Stage IIIA, dead, 2486 days 465.2
TCGA-ZP-A9D1-01A 56 years, female, white, stage:'--, alive, 21 days 465.1
TCGA-CC-A8HS-01A 18 years, male, asian, stage:Stage IIIC, dead, 300 days 463.4
TCGA-DD-AACT-01A 69 years, female, asian, stage:Stage I, alive, 1562 days 463.1
TCGA-CC-A7IJ-01A 56 years, male, asian, stage:Stage II, alive, 382 days 462.8
TCGA-CC-A7IL-01A 61 years, male, asian, stage:Stage IIIA, dead, 278 days 462.7
TCGA-G3-A25T-01A 45 years, female, white, stage:Stage IIIA, alive, 1553 days 462.3
TCGA-KR-A7K2-01A 64 years, male, white, stage:Stage I, alive, 829 days 461.7
TCGA-UB-A7MC-01A 59 years, male, white, stage:Stage IIIA, alive, 500 days 460.9
TCGA-DD-AADV-01A 50 years, male, asian, stage:Stage I, alive, 574 days 457.6
TCGA-CC-5260-01A 61 years, female, asian, stage:Stage IIIC, dead, 87 days 456.6
TCGA-DD-AACP-01A 64 years, male, asian, stage:Stage I, alive, 415 days 451.7
TCGA-DD-AAE6-01A 59 years, female, asian, stage:Stage I, alive, 141 days 450.7
TCGA-DD-AACF-01A 68 years, male, asian, stage:Stage I, dead, 365 days 450.3
TCGA-CC-A7II-01A 54 years, male, asian, stage:Stage IIIA, alive, 399 days 450.2
TCGA-BW-A5NO-01A 50 years, male, black or african american, stage:Stage IIIA, alive, 20 days 449.5
TCGA-2Y-A9H9-01A 70 years, male, white, stage:Stage I, alive, 697 days 448.2
TCGA-DD-A3A8-01A 75 years, male, white, stage:Stage II, dead, 11 days 447.7
TCGA-DD-A3A1-01A 65 years, male, stage:Stage IIIA, dead, 233 days 446.0
TCGA-ZP-A9CZ-01A 72 years, male, asian, stage:'--, alive, 706 days 443.5
TCGA-2Y-A9H2-01A 64 years, female, white, stage:Stage I, alive, 1731 days 442.9
TCGA-DD-AACB-01A 74 years, female, asian, stage:Stage I, alive, 2324 days 441.8
TCGA-DD-AADG-01A 70 years, male, asian, stage:Stage IIIA, alive, 1145 days 441.4
TCGA-K7-A6G5-01A 66 years, male, white, stage:Stage I, alive, 512 days 440.9
TCGA-FV-A2QQ-01A 80 years, male, white, stage:Stage I, alive, 729 days 437.7
TCGA-CC-5262-01A 67 years, male, asian, stage:Stage IIIC, dead, 103 days 436.6
TCGA-DD-AADK-01A 68 years, female, asian, stage:Stage II, alive, 1049 days 436.1
TCGA-XR-A8TD-01A 49 years, female, white, stage:Stage IIIB, alive, 1030 days 435.3
TCGA-DD-AADJ-01A 70 years, female, asian, stage:Stage I, alive, 1066 days 435.1
TCGA-CC-A5UC-01A 63 years, male, asian, stage:Stage IIIA, dead, 347 days 433.2
TCGA-2Y-A9H0-01A 49 years, male, white, stage:Stage IIIA, alive, 3675 days 431.8
TCGA-G3-A5SM-01A 58 years, male, white, stage:Stage II, alive, 520 days 430.0
TCGA-EP-A26S-01A 70 years, male, white, stage:Stage I, alive, 608 days 430.0
TCGA-HP-A5MZ-01A 78 years, male, stage:Stage I, dead, 91 days 429.8
TCGA-BC-A69I-01A 69 years, male, white, stage:Stage I, alive, 387 days 429.7
TCGA-G3-A7M6-01A 60 years, female, white, stage:Stage I, alive, 632 days 429.4
TCGA-EP-A12J-01A 62 years, male, black or african american, stage:Stage I, alive, 570 days 428.0
TCGA-DD-A1EI-01A 46 years, male, asian, stage:Stage I, alive, 183 days 427.8
TCGA-G3-AAV6-01A 53 years, female, white, stage:Stage IIIA, dead, 65 days 426.2
TCGA-DD-A4NQ-01A 60 years, male, white, stage:Stage II, dead, 373 days 423.3
TCGA-XR-A8TC-01A 43 years, female, white, stage:Stage I, alive, 1339 days 422.8
TCGA-DD-A116-01A 68 years, male, asian, stage:Stage IIIA, dead, 1622 days 420.2
TCGA-HP-A5N0-01A 90 years, female, stage:'--, dead, 752 days 420.1
TCGA-DD-A1EH-01A 23 years, male, white, stage:Stage III, alive, 1495 days 419.9
TCGA-DD-AADB-01A 51 years, male, asian, stage:Stage I, alive, 1242 days 417.8
TCGA-DD-AACN-01A 32 years, male, asian, stage:Stage I, alive, 1302 days 416.8
TCGA-UB-A7ME-01A 51 years, male, asian, stage:Stage I, alive, 486 days 416.6
TCGA-EP-A2KC-01A 62 years, male, black or african american, stage:Stage I, dead, 19 days 416.6
TCGA-G3-A5SL-01A 70 years, male, white, stage:Stage II, alive, 621 days 416.1
TCGA-DD-A4NR-01A 85 years, female, white, stage:Stage I, dead, 9 days 415.8
TCGA-ZP-A9D0-01A 67 years, female, black or african american, stage:'--, alive, 1091 days 415.6
TCGA-2Y-A9H4-01A 68 years, male, black or african american, stage:Stage I, alive, 1452 days 413.0
TCGA-ZS-A9CG-01A 55 years, male, white, stage:Stage II, alive, 341 days 412.6
TCGA-DD-AAEH-01A 73 years, male, asian, stage:Stage I, alive, 784 days 411.7
TCGA-DD-AAEA-01A 65 years, male, asian, stage:Stage I, alive, 575 days 411.5
TCGA-2Y-A9H1-01A 58 years, male, white, stage:Stage I, dead, 1229 days 410.9
TCGA-ZS-A9CD-01A 73 years, male, white, stage:Stage II, dead, 1386 days 409.9
TCGA-2Y-A9H6-01A 68 years, female, white, stage:Stage I, alive, 357 days 409.8
TCGA-DD-AACW-01A 43 years, male, asian, stage:Stage I, alive, 1424 days 409.4
TCGA-DD-A3A6-01A 72 years, female, white, stage:Stage II, dead, 3258 days 408.6
TCGA-RC-A6M4-01A 74 years, female, white, stage:Stage IIIA, alive, 22 days 408.6
TCGA-EP-A2KB-01A 46 years, female, white, stage:Stage I, dead, 596 days 408.2
TCGA-2Y-A9H8-01A 85 years, female, white, stage:'--, dead, 633 days 407.1
TCGA-DD-AAE4-01A 49 years, female, asian, stage:Stage I, alive, 608 days 407.0
TCGA-CC-5259-01A 60 years, female, asian, stage:Stage IIIC, alive, 250 days 406.8
TCGA-RC-A6M6-01A 75 years, male, white, stage:Stage II, alive, 9 days 406.4
TCGA-CC-A9FW-01A 68 years, male, asian, stage:Stage IIIA, alive, 248 days 405.9
TCGA-DD-AADY-01A 55 years, female, asian, stage:Stage I, alive, 555 days 404.4
TCGA-T1-A6J8-01A 68 years, male, white, stage:'--, alive, 23 days 403.3
TCGA-G3-AAV3-01A 58 years, female, white, stage:Stage II, alive, 412 days 401.8
TCGA-G3-AAV4-01A 83 years, female, white, stage:Stage I, dead, 27 days 400.9
TCGA-BC-A3KF-01A 66 years, female, white, stage:Stage I, alive, 8 days 399.6
TCGA-G3-A3CK-01A 61 years, male, asian, stage:Stage I, alive, 585 days 399.4
TCGA-FV-A3I0-01A 76 years, female, white, stage:Stage II, alive, 848 days 399.1
TCGA-ED-A7XO-01A 29 years, male, asian, stage:Stage IIIA, alive, 427 days 395.7
TCGA-DD-AAW0-01A 54 years, male, asian, stage:Stage I, alive, 2015 days 394.0
TCGA-DD-AAE1-01A 52 years, male, asian, stage:Stage I, alive, 552 days 393.6
TCGA-G3-A6UC-01A 65 years, male, white, stage:Stage IIIB, alive, 671 days 389.4
TCGA-CC-5258-01A 48 years, male, asian, stage:Stage II, dead, 129 days 389.2
TCGA-DD-A1EF-01A 57 years, female, white, stage:Stage I, dead, 394 days 388.0
TCGA-DD-AAVS-01A 56 years, male, asian, stage:Stage I, alive, 1823 days 386.3
TCGA-NI-A8LF-01A 74 years, male, white, stage:Stage I, alive, 799 days 383.3
TCGA-ED-A7PY-01A 20 years, female, asian, stage:Stage II, alive, 390 days 381.5
TCGA-DD-AAC9-01A 51 years, male, asian, stage:Stage I, alive, 347 days 380.0
TCGA-DD-A39W-01A 29 years, female, white, stage:Stage III, dead, 827 days 378.2
TCGA-FV-A3R2-01A 75 years, male, white, stage:Stage I, dead, 194 days 378.1
TCGA-BC-A112-01A 80 years, male, white, stage:'--, dead, 153 days 375.7
TCGA-KR-A7K8-01A 57 years, male, stage:Stage I, alive, 906 days 375.0
TCGA-DD-A4NV-01A 61 years, male, white, stage:Stage IIIA, alive, 2398 days 373.9
TCGA-DD-A73B-01A 72 years, female, white, stage:Stage I, dead, 283 days 373.8
TCGA-2Y-A9GS-01A 58 years, male, white, stage:'--, dead, 724 days 369.1
TCGA-DD-AAW1-01A 55 years, male, asian, stage:Stage IIIA, alive, 1989 days 369.0
TCGA-CC-A7IE-01A 57 years, male, asian, stage:Stage IIIA, dead, 217 days 366.3
TCGA-DD-AADA-01A 66 years, female, asian, stage:Stage I, alive, 1233 days 364.5
TCGA-DD-AAW2-01A 69 years, male, asian, stage:Stage I, alive, 1855 days 363.5
TCGA-G3-A5SI-01A 44 years, male, asian, stage:Stage II, dead, 768 days 363.5
TCGA-DD-AAW3-01A 69 years, male, asian, stage:Stage I, alive, 1633 days 363.4
TCGA-G3-A7M7-01A 65 years, male, white, stage:Stage I, alive, 361 days 363.3
TCGA-DD-AACV-01A 53 years, male, asian, stage:Stage I, alive, 1531 days 361.5
TCGA-DD-A39Z-01A 43 years, female, stage:Stage II, dead, 601 days 360.3
TCGA-GJ-A3OU-01A 59 years, male, white, stage:Stage I, alive, 879 days 359.5
TCGA-ED-A459-01A 47 years, male, asian, stage:Stage II, alive, 910 days 359.3
TCGA-ED-A8O6-01A 50 years, female, asian, stage:Stage IIIA, dead, 56 days 358.5
TCGA-MI-A75E-01A 61 years, male, white, stage:Stage IIIC, alive, 507 days 358.4
TCGA-XR-A8TF-01A 74 years, male, white, stage:Stage I, dead, 693 days 356.1
TCGA-2Y-A9H7-01A 81 years, female, white, stage:Stage I, alive, 1168 days 353.3
TCGA-BC-A5W4-01A 69 years, male, white, stage:Stage IIIA, dead, 547 days 352.9
TCGA-DD-AACC-01A 61 years, male, asian, stage:Stage I, dead, 1685 days 351.9
TCGA-DD-A1EJ-01A 71 years, female, white, stage:Stage IIIC, dead, 1005 days 350.3
TCGA-FV-A496-01A 84 years, female, white, stage:Stage I, alive, 10 days 347.8
TCGA-CC-5263-01A 35 years, male, asian, stage:Stage IIIA, dead, 129 days 343.4
TCGA-2Y-A9HA-01A 70 years, male, white, stage:Stage II, dead, 36 days 342.7
TCGA-4R-AA8I-01A 66 years, male, white, stage:Stage II, dead, 262 days 341.6
TCGA-DD-AADL-01A 58 years, male, asian, stage:Stage I, alive, 636 days 340.9
TCGA-DD-A73E-01A 66 years, male, white, stage:Stage I, alive, 44 days 340.6
TCGA-DD-AAVU-01A 46 years, male, asian, stage:Stage II, alive, 2202 days 339.7
TCGA-2Y-A9GW-01A 64 years, male, white, stage:Stage I, dead, 1271 days 338.9
TCGA-ED-A5KG-01A 60 years, female, asian, stage:Stage II, alive, 854 days 338.5
TCGA-BC-A10U-01A 69 years, male, white, stage:'--, dead, 837 days 335.2
TCGA-ED-A66Y-01A 51 years, female, asian, stage:Stage IIIA, dead, 296 days 333.6
TCGA-DD-A4NJ-01A 54 years, female, white, stage:Stage II, alive, 928 days 332.2
TCGA-DD-A11C-01A 69 years, male, white, stage:Stage I, alive, 662 days 331.3
TCGA-WX-AA47-01A 33 years, female, white, stage:Stage IIIA, dead, 556 days 330.7
TCGA-DD-A4NK-01A 80 years, female, white, stage:Stage IIIA, dead, 1210 days 330.4
TCGA-DD-A73F-01A 77 years, female, white, stage:Stage I, alive, 1085 days 328.3
TCGA-DD-AACY-01A 61 years, male, asian, stage:Stage I, alive, 1450 days 327.2
TCGA-FV-A4ZQ-01A 52 years, male, white, stage:Stage I, alive, 12 days 326.8
TCGA-G3-AAV0-01A 58 years, male, asian, stage:Stage I, alive, 476 days 326.1
TCGA-G3-AAUZ-01A 48 years, male, stage:Stage I, alive, 480 days 325.5
TCGA-2Y-A9GU-01A 55 years, female, white, stage:Stage I, alive, 1939 days 325.2
TCGA-DD-A4NA-01A 67 years, female, white, stage:Stage IIIC, alive, 1008 days 324.8
TCGA-DD-A1EB-01A 72 years, female, stage:Stage I, alive, 2017 days 319.8
TCGA-RC-A7SB-01A 53 years, male, asian, stage:Stage II, alive, 588 days 317.5
TCGA-ZP-A9D4-01A 64 years, female, white, stage:'--, alive, 395 days 317.2
TCGA-DD-AADP-01A 45 years, male, asian, stage:Stage I, alive, 458 days 315.9
TCGA-DD-AACG-01A 52 years, male, asian, stage:Stage II, dead, 469 days 315.6
TCGA-DD-AACE-01A 62 years, male, asian, stage:Stage I, alive, 2184 days 315.1
TCGA-RC-A7SF-01A 66 years, male, asian, stage:Stage I, alive, 579 days 314.6
TCGA-G3-A25U-01A 63 years, female, asian, stage:Stage I, alive, 1636 days 313.1
TCGA-ED-A8O5-01A 59 years, female, asian, stage:Stage IIIA, alive, 406 days 312.1
TCGA-DD-A4NS-01A 61 years, female, white, stage:Stage I, dead, 2456 days 310.1
TCGA-PD-A5DF-01A 58 years, female, white, stage:Stage IIIB, dead, 639 days 308.5
TCGA-RC-A7S9-01A 47 years, female, asian, stage:Stage I, alive, 640 days 308.1
TCGA-DD-AACA-01A 65 years, male, asian, stage:Stage I, alive, 2301 days 308.1
TCGA-DD-AADN-01A 59 years, male, asian, stage:Stage I, alive, 898 days 307.6
TCGA-BC-A10Q-01A 72 years, female, white, stage:'--, dead, 1135 days 307.4
TCGA-BC-A216-01A 62 years, female, white, stage:Stage IIIA, alive, 1351 days 306.2
TCGA-DD-AAE2-01A 51 years, male, asian, stage:Stage I, alive, 638 days 306.1
TCGA-DD-AAE3-01A 50 years, male, asian, stage:Stage I, alive, 566 days 305.7
TCGA-2Y-A9GX-01A 68 years, male, white, stage:Stage I, alive, 2442 days 305.5
TCGA-DD-AAEB-01A 60 years, male, asian, stage:Stage I, alive, 478 days 305.4
TCGA-FV-A23B-01A 70 years, female, white, stage:Stage II, dead, 1852 days 303.8
TCGA-DD-AACQ-01A 50 years, male, asian, stage:Stage II, dead, 432 days 303.0
TCGA-DD-AACD-01A 48 years, male, asian, stage:Stage I, dead, 381 days 302.7
TCGA-XR-A8TE-01A 16 years, male, white, stage:Stage IIIA, alive, 925 days 302.4
TCGA-DD-AADQ-01A 59 years, male, asian, stage:Stage II, alive, 436 days 302.0
TCGA-DD-A1EC-01A 20 years, female, white, stage:Stage I, alive, 602 days 300.7
TCGA-K7-A5RG-01A 66 years, male, black or african american, stage:Stage I, alive, 519 days 299.9
TCGA-UB-AA0U-01A 60 years, male, white, stage:Stage II, alive, 327 days 299.3
TCGA-RC-A7SK-01A 59 years, male, asian, stage:Stage I, alive, 472 days 298.0
TCGA-LG-A6GG-01A 79 years, female, white, stage:Stage II, alive, 387 days 298.0
TCGA-G3-A25Z-01A 58 years, male, asian, stage:Stage I, alive, 655 days 296.4
TCGA-DD-A118-01A 77 years, female, white, stage:Stage II, alive, 3437 days 296.3
TCGA-2Y-A9H5-01A 59 years, female, white, stage:Stage I, dead, 555 days 296.2
TCGA-DD-A4NB-01A 25 years, male, white, stage:Stage I, alive, 989 days 296.1
TCGA-DD-A11D-01A 57 years, female, white, stage:Stage I, dead, 1560 days 293.2
TCGA-DD-A115-01A 53 years, male, white, stage:Stage IIIA, dead, 2542 days 292.3
TCGA-CC-A7IF-01A 59 years, male, asian, stage:Stage IIIA, dead, 649 days 292.3
TCGA-G3-A3CH-01A 53 years, male, asian, stage:Stage IIIA, alive, 780 days 292.0
TCGA-DD-A1EK-01A 64 years, female, white, stage:Stage IVB, dead, 558 days 291.9
TCGA-2Y-A9H3-01A 45 years, male, white, stage:Stage II, alive, 1516 days 287.4
TCGA-DD-A11B-01A 73 years, male, white, stage:Stage I, dead, 14 days 285.9
TCGA-DD-AAVW-01A 35 years, male, asian, stage:Stage I, alive, 2317 days 283.0
TCGA-DD-AAD1-01A 51 years, female, asian, stage:Stage I, alive, 564 days 282.7
TCGA-GJ-A9DB-01A 68 years, male, white, stage:Stage I, dead, 67 days 281.5
TCGA-G3-AAV2-01A 50 years, male, white, stage:Stage I, alive, 372 days 279.4
TCGA-G3-A5SJ-01A 59 years, male, white, stage:Stage I, alive, 698 days 275.2
TCGA-BC-A10R-01A 66 years, female, white, stage:'--, dead, 308 days 270.8
TCGA-ZS-A9CE-01A 79 years, female, white, stage:Stage II, alive, 1241 days 270.5
TCGA-BD-A3EP-01A 75 years, female, black or african american, stage:Stage I, alive, 409 days 269.2
TCGA-WJ-A86L-01A 68 years, female, white, stage:Stage I, alive, 345 days 267.8
TCGA-DD-AAEI-01A 72 years, male, asian, stage:Stage I, alive, 1531 days 266.3
TCGA-BD-A3ER-01A 62 years, male, white, stage:Stage II, alive, 1115 days 265.5
TCGA-CC-A123-01A 24 years, female, asian, stage:Stage IIIA, alive, 219 days 265.0
TCGA-2Y-A9GV-01A 54 years, female, white, stage:Stage I, dead, 2532 days 264.1
TCGA-DD-A4NP-01A 32 years, male, white, stage:Stage I, alive, 3308 days 262.9
TCGA-BD-A2L6-01A 69 years, male, white, stage:'--, alive, 1363 days 261.9
TCGA-DD-AADR-01A 58 years, male, asian, stage:Stage I, alive, 2028 days 260.1
TCGA-ZS-A9CF-01A 64 years, male, white, stage:Stage II, alive, 2412 days 258.4
TCGA-DD-AACO-01A 40 years, male, asian, stage:Stage I, alive, 1876 days 255.6
TCGA-DD-AADS-01A 63 years, male, asian, stage:Stage I, alive, 474 days 253.6
TCGA-K7-AAU7-01A 61 years, male, white, stage:Stage II, alive, 359 days 251.2
TCGA-2Y-A9HB-01A 66 years, male, stage:Stage I, alive, 260 days 250.0
TCGA-ED-A4XI-01A 58 years, male, asian, stage:Stage II, alive, 819 days 249.7
TCGA-ED-A627-01A 74 years, male, white, stage:Stage I, alive, 423 days 246.8
TCGA-CC-A9FS-01A 55 years, male, asian, stage:Stage II, alive, 211 days 246.1
TCGA-RC-A6M5-01A 20 years, female, white, stage:Stage IVA, alive, 15 days 243.7
TCGA-G3-A7M5-01A 76 years, male, asian, stage:Stage I, alive, 447 days 241.5
TCGA-DD-AAEK-01A 51 years, male, asian, stage:Stage II, alive, 1067 days 240.0
TCGA-DD-AADU-01A 60 years, male, asian, stage:Stage II, alive, 554 days 239.5
TCGA-G3-A25V-01A 68 years, male, white, stage:Stage I, alive, 860 days 239.2
TCGA-ED-A97K-01A 54 years, male, asian, stage:Stage IIIA, alive, 6 days 238.5
TCGA-DD-AAD8-01A 73 years, female, asian, stage:Stage I, alive, 1219 days 236.8
TCGA-5R-AAAM-01A 65 years, female, white, stage:Stage II, dead, 46 days 235.6
TCGA-ES-A2HS-01A 80 years, male, white, stage:Stage I, dead, 688 days 235.5
TCGA-DD-A3A4-01A 37 years, male, white, stage:Stage IIIA, dead, 612 days 232.4
TCGA-5R-AA1D-01A 17 years, female, white, stage:Stage IIIA, alive, 449 days 231.4
TCGA-DD-AACK-01A 70 years, male, asian, stage:Stage I, alive, 9 days 229.6
TCGA-DD-AAVX-01A 38 years, male, asian, stage:Stage II, alive, 1718 days 228.8
TCGA-LG-A9QD-01A 68 years, male, white, stage:Stage IIIA, alive, 366 days 226.8
TCGA-DD-A73C-01A 65 years, female, white, stage:Stage IIIA, alive, 701 days 226.2
TCGA-2Y-A9GZ-01A 82 years, female, white, stage:Stage II, dead, 848 days 224.8
TCGA-FV-A3R3-01A 38 years, female, white, stage:Stage I, dead, 366 days 220.4
TCGA-DD-A4NE-01A 75 years, female, white, stage:Stage IIIA, dead, 660 days 219.9
TCGA-K7-A5RF-01A 64 years, male, white, stage:Stage I, alive, 631 days 219.6
TCGA-BC-A110-01A 51 years, female, black or african american, stage:'--, dead, 2116 days 216.4
TCGA-DD-A4ND-01A 56 years, female, white, stage:Stage I, alive, 2746 days 215.6
TCGA-ZP-A9CY-01A 66 years, female, white, stage:'--, alive, 782 days 210.7
TCGA-BC-A10X-01A 52 years, female, white, stage:Stage IIIA, dead, 770 days 209.3
TCGA-WX-AA46-01A 61 years, male, white, stage:Stage II, alive, 756 days 207.0
TCGA-DD-A4NL-01A 46 years, male, white, stage:Stage I, alive, 1711 days 202.7
TCGA-DD-A4NI-01A 67 years, male, white, stage:Stage II, alive, 816 days 202.1
TCGA-DD-A73A-01A 71 years, male, white, stage:Stage I, alive, 728 days 197.2
TCGA-BC-A10S-01A 81 years, male, white, stage:'--, dead, 1423 days 195.3
TCGA-MR-A520-01A 58 years, male, white, stage:Stage I, alive, 229 days 195.1
TCGA-G3-A7M8-01A 31 years, male, asian, stage:Stage I, alive, 430 days 194.4
TCGA-NI-A4U2-01A 71 years, male, white, stage:Stage IIIA, dead, 1791 days 194.3
TCGA-G3-A5SK-01A 58 years, male, white, stage:Stage I, alive, 744 days 191.3
TCGA-MR-A8JO-01A 34 years, male, white, stage:Stage I, alive, 330 days 189.0
TCGA-DD-AAE7-01A 72 years, male, asian, stage:Stage I, alive, 644 days 188.0
TCGA-2Y-A9GT-01A 51 years, male, white, stage:Stage I, dead, 1624 days 187.4
TCGA-DD-A4NG-01A 77 years, male, white, stage:Stage IIIA, dead, 802 days 186.8
TCGA-DD-AAD6-01A 66 years, male, asian, stage:Stage IIIA, alive, 672 days 184.2
TCGA-UB-AA0V-01A 69 years, female, white, stage:Stage I, alive, 314 days 179.1
TCGA-G3-A3CI-01A 71 years, male, white, stage:Stage I, alive, 180 days 171.3
TCGA-DD-AAED-01A 51 years, male, asian, stage:Stage I, alive, 763 days 170.8
TCGA-BC-A10T-01A 76 years, male, white, stage:'--, dead, 837 days 170.2
TCGA-DD-A1ED-01A 68 years, male, white, stage:Stage I, alive, 2301 days 166.4
TCGA-DD-A3A2-01A 76 years, female, white, stage:Stage I, dead, 2131 days 159.9
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LIVER HEPATOCELLULAR CARCINOMA (VALIDATION) - Interactive survival scatter ploti

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

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

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

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

& Survival analysisi

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

PSMB4 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.

: 375.71
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 488.2
Number of samples 231
Samples
Sample Description pTPM
DO50791 79 years, female, NA, stage:1, dead, 480 days 1572.2
DO45275 65 years, male, NA, stage:3, dead, 10 days 1338.2
DO45277 64 years, male, NA, stage:3, alive, 600 days 1237.6
DO48747 62 years, male, NA, stage:3, alive, 540 days 1169.5
DO45209 70 years, male, NA, stage:4, alive, 1350 days 1166.8
DO50783 62 years, male, NA, stage:3, alive, 480 days 1050.2
DO48732 73 years, male, NA, stage:3, alive, 630 days 1043.0
DO50829 78 years, male, NA, stage:3, alive, 570 days 1032.7
DO23521 63 years, male, NA, stage:3, alive, 1110 days 994.2
DO45251 57 years, female, NA, stage:2, alive, 900 days 955.7
DO23526 66 years, male, NA, stage:3, alive, 1050 days 925.0
DO45185 89 years, male, NA, stage:2, alive, 600 days 905.7
DO23508 79 years, female, NA, stage:2, alive, 390 days 870.9
DO45287 74 years, male, NA, stage:1, alive, 390 days 856.2
DO48737 52 years, male, NA, stage:1, alive, 720 days 851.9
DO45301 56 years, male, NA, stage:2, dead, 1440 days 846.4
DO45205 67 years, female, NA, stage:2, dead, 90 days 841.1
DO23525 71 years, male, NA, stage:4, alive, 1050 days 802.8
DO45253 50 years, male, NA, stage:2, alive, 870 days 793.6
DO48704 68 years, female, NA, stage:3, alive, 750 days 785.8
DO23537 79 years, male, NA, stage:2, dead, 900 days 783.0
DO23529 72 years, male, NA, stage:4, alive, 930 days 777.2
DO48741 64 years, male, NA, stage:3, alive, 240 days 766.7
DO45249 57 years, male, NA, stage:1, alive, 630 days 755.4
DO50839 47 years, female, NA, stage:3, alive, 330 days 752.2
DO23541 65 years, male, NA, stage:2, alive, 930 days 749.4
DO50799 66 years, female, NA, stage:2, alive, 540 days 749.2
DO45145 78 years, male, NA, stage:3, dead, 60 days 746.1
DO45092 62 years, male, NA, stage:4, dead, 1200 days 738.0
DO23514 64 years, male, NA, stage:2, alive, 1290 days 731.4
DO50811 62 years, male, NA, stage:1, alive, 450 days 725.9
DO45267 73 years, male, NA, stage:3, dead, 570 days 711.7
DO45261 74 years, male, NA, stage:3, alive, 990 days 691.0
DO45307 54 years, female, NA, stage:4, dead, 240 days 690.2
DO45171 56 years, male, NA, stage:3, alive, 600 days 689.5
DO45095 66 years, male, NA, stage:2, alive, 1620 days 688.3
DO45257 46 years, male, NA, stage:3, alive, 810 days 686.1
DO45159 65 years, male, NA, stage:3, alive, 1470 days 684.5
DO50850 74 years, male, NA, stage:3, alive, 720 days 681.8
DO23513 76 years, male, NA, stage:3, alive, 1200 days 673.7
DO45119 74 years, male, NA, stage:3, dead, 510 days 662.5
DO45115 81 years, male, NA, stage:2, alive, 840 days 662.3
DO48697 64 years, female, NA, stage:2, dead, 810 days 655.9
DO48672 81 years, male, NA, stage:2, alive, 450 days 655.4
DO23516 69 years, male, NA, stage:3, dead, 20 days 651.5
DO45279 67 years, male, NA, stage:3, alive, 1290 days 646.1
DO45163 76 years, male, NA, stage:2, alive, 960 days 645.7
DO48746 76 years, male, NA, stage:3, alive, 570 days 636.8
DO48723 73 years, male, NA, stage:1, alive, 600 days 627.5
DO48717 54 years, male, NA, stage:4, dead, 180 days 622.0
DO45299 70 years, female, NA, stage:1, alive, 1440 days 621.5
DO45097 69 years, male, NA, stage:3, alive, 1620 days 618.6
DO23539 77 years, male, NA, stage:1, alive, 1110 days 618.1
DO45139 63 years, male, NA, stage:3, alive, 1320 days 614.6
DO50800 74 years, male, NA, stage:2, alive, 510 days 611.3
DO45225 69 years, male, NA, stage:1, alive, 1050 days 602.8
DO45273 62 years, male, NA, stage:2, alive, 480 days 600.6
DO45259 65 years, male, NA, stage:3, alive, 330 days 600.5
DO48706 72 years, male, NA, stage:2, alive, 870 days 598.2
DO45263 67 years, male, NA, stage:3, dead, 270 days 587.0
DO45199 86 years, female, NA, stage:2, alive, 1350 days 585.6
DO45237 58 years, male, NA, stage:2, alive, 900 days 585.0
DO48700 78 years, female, NA, stage:2, alive, 810 days 564.4
DO45155 69 years, male, NA, stage:2, alive, 2160 days 561.9
DO23548 78 years, female, NA, stage:1, alive, 840 days 561.5
DO48695 77 years, male, NA, stage:2, alive, 720 days 560.8
DO50798 77 years, male, NA, stage:3, dead, 30 days 550.4
DO45235 68 years, female, NA, stage:1, alive, 900 days 549.2
DO23524 71 years, female, NA, stage:2, alive, 1050 days 542.9
DO45213 58 years, male, NA, stage:1, alive, 1200 days 542.1
DO50844 75 years, male, NA, stage:4, alive, 300 days 540.6
DO50814 83 years, male, NA, stage:3, alive, 420 days 538.4
DO48701 78 years, male, NA, stage:2, alive, 780 days 537.9
DO50805 72 years, male, NA, stage:2, alive, 690 days 537.7
DO23533 61 years, male, NA, stage:2, alive, 900 days 534.3
DO23518 67 years, male, NA, stage:2, alive, 1320 days 534.2
DO45281 83 years, male, NA, stage:4, alive, 750 days 532.2
DO45283 60 years, male, NA, stage:3, alive, 510 days 530.2
DO23515 71 years, male, NA, stage:2, alive, 1230 days 527.6
DO45219 78 years, male, NA, stage:2, alive, 1080 days 527.3
DO45121 61 years, male, NA, stage:3, alive, 1530 days 525.3
DO23542 66 years, male, NA, stage:3, alive, 960 days 525.2
DO23543 63 years, male, NA, stage:2, alive, 1020 days 518.6
DO50815 62 years, male, NA, stage:3, alive, 150 days 516.7
DO23509 60 years, male, NA, stage:3, dead, 780 days 515.1
DO227801 77 years, female, NA, stage:1, alive, 660 days 512.0
DO45099 46 years, male, NA, stage:3, alive, 1590 days 508.8
DO50806 70 years, male, NA, stage:4, alive, 540 days 503.7
DO23519 65 years, male, NA, stage:3, alive, 630 days 500.6
DO48736 76 years, female, NA, stage:1, alive, 600 days 496.1
DO23528 45 years, female, NA, stage:2, alive, 1020 days 492.5
DO45187 32 years, female, NA, stage:1, alive, 1260 days 491.1
DO45153 77 years, female, NA, stage:2, alive, 1380 days 489.1
DO45103 47 years, male, NA, stage:3, alive, 450 days 487.4
DO45117 73 years, female, NA, stage:2, dead, 1110 days 485.2
DO50809 56 years, male, NA, stage:3, dead, 720 days 483.4
DO45131 53 years, male, NA, stage:4, dead, 360 days 482.0
DO23549 74 years, male, NA, stage:3, alive, 990 days 477.9
DO45193 68 years, female, NA, stage:4, dead, 120 days 474.3
DO50855 47 years, male, NA, stage:2, alive, 570 days 470.5
DO23545 67 years, male, NA, stage:2, dead, 570 days 469.0
DO48733 72 years, male, NA, stage:2, alive, 600 days 468.2
DO45243 74 years, female, NA, stage:3, alive, 930 days 459.3
DO45127 73 years, male, NA, stage:3, dead, 420 days 458.8
DO45241 49 years, male, NA, stage:1, alive, 1080 days 455.1
DO45149 70 years, female, NA, stage:2, alive, 1260 days 454.3
DO45211 76 years, male, NA, stage:3, alive, 240 days 452.6
DO48759 73 years, male, NA, stage:3, alive, 720 days 452.4
DO23510 80 years, female, NA, stage:2, alive, 870 days 451.2
DO50818 65 years, male, NA, stage:2, alive, 510 days 449.8
DO50825 70 years, male, NA, stage:2, alive, 390 days 439.7
DO48751 68 years, male, NA, stage:2, dead, 480 days 438.1
DO50817 75 years, male, NA, stage:2, alive, 390 days 437.1
DO45123 78 years, female, NA, stage:2, dead, 570 days 436.3
DO50845 72 years, male, NA, stage:3, alive, 210 days 434.9
DO23552 80 years, female, NA, stage:1, alive, 810 days 434.7
DO23527 72 years, male, NA, stage:1, alive, 1050 days 434.0
DO50776 75 years, male, NA, stage:1, alive, 690 days 429.8
DO45227 57 years, female, NA, stage:2, alive, 1020 days 428.5
DO45165 75 years, male, NA, stage:2, alive, 690 days 425.2
DO45173 63 years, male, NA, stage:3, alive, 1170 days 424.6
DO45189 85 years, female, NA, stage:2, alive, 1200 days 423.7
DO45133 64 years, male, NA, stage:3, dead, 660 days 423.7
DO48679 72 years, male, NA, stage:2, alive, 1200 days 421.7
DO45179 78 years, female, NA, stage:2, alive, 600 days 421.2
DO50802 49 years, male, NA, stage:2, alive, 930 days 416.8
DO48677 58 years, male, NA, stage:3, alive, 1140 days 415.2
DO45183 72 years, female, NA, stage:2, dead, 570 days 411.5
DO50832 73 years, male, NA, stage:3, alive, 90 days 411.3
DO23546 63 years, male, NA, stage:2, alive, 1050 days 411.2
DO50840 49 years, male, NA, stage:2, alive, 330 days 409.8
DO50857 72 years, male, NA, stage:2, alive, 210 days 409.3
DO23534 60 years, male, NA, stage:2, alive, 840 days 408.1
DO45305 66 years, male, NA, stage:4, alive, 300 days 407.4
DO45285 59 years, male, NA, stage:3, alive, 480 days 405.2
DO50785 37 years, male, NA, stage:4, dead, 90 days 400.7
DO45297 61 years, female, NA, stage:4, dead, 1260 days 399.8
DO45231 84 years, male, NA, stage:2, alive, 930 days 398.3
DO45141 73 years, male, NA, stage:2, alive, 1320 days 395.5
DO50822 66 years, male, NA, stage:2, alive, 510 days 392.8
DO45203 71 years, female, NA, stage:2, alive, 1170 days 392.1
DO45137 38 years, male, NA, stage:1, alive, 1320 days 389.3
DO45125 58 years, male, NA, stage:3, alive, 1680 days 385.5
DO23536 56 years, male, NA, stage:2, alive, 930 days 383.2
DO45217 69 years, female, NA, stage:3, dead, 270 days 383.1
DO23530 53 years, male, NA, stage:4, dead, 180 days 382.9
DO48716 71 years, male, NA, stage:2, alive, 720 days 382.8
DO48743 69 years, female, NA, stage:2, alive, 570 days 381.5
DO50859 77 years, male, NA, stage:2, alive, 180 days 378.9
DO45113 58 years, male, NA, stage:3, alive, 1560 days 378.9
DO48682 72 years, female, NA, stage:3, dead, 120 days 378.5
DO45129 61 years, male, NA, stage:3, alive, 1470 days 377.9
DO45221 75 years, female, NA, stage:4, dead, 390 days 376.8
DO45245 75 years, female, NA, stage:2, dead, 240 days 375.7
DO48725 66 years, male, NA, stage:1, alive, 780 days 369.4
DO45289 78 years, female, NA, stage:3, alive, 360 days 367.7
DO50778 60 years, male, NA, stage:4, alive, 630 days 367.0
DO45255 81 years, male, NA, stage:3, alive, 720 days 366.5
DO48712 50 years, male, NA, stage:2, alive, 810 days 366.3
DO45303 62 years, female, NA, stage:3, alive, 990 days 365.5
DO50793 76 years, male, NA, stage:4, alive, 540 days 363.7
DO45105 61 years, male, NA, stage:1, alive, 1680 days 363.7
DO45265 73 years, male, NA, stage:3, alive, 1020 days 362.5
DO45207 68 years, male, NA, stage:1, alive, 1050 days 362.1
DO23512 60 years, male, NA, stage:1, alive, 1260 days 361.1
DO45269 59 years, male, NA, stage:3, alive, 750 days 358.8
DO48681 57 years, male, NA, stage:2, alive, 900 days 357.6
DO48720 62 years, female, NA, stage:2, alive, 570 days 357.5
DO48719 80 years, male, NA, stage:2, alive, 690 days 357.5
DO50808 68 years, male, NA, stage:2, alive, 570 days 356.6
DO23540 73 years, male, NA, stage:1, alive, 750 days 355.7
DO45157 62 years, male, NA, stage:2, alive, 1980 days 352.7
DO45135 77 years, male, NA, stage:1, alive, 1410 days 350.2
DO45239 42 years, male, NA, stage:2, alive, 870 days 348.2
DO50803 62 years, female, NA, stage:1, alive, 540 days 343.6
DO50820 77 years, female, NA, stage:3, alive, 510 days 343.6
DO23535 67 years, male, NA, stage:1, alive, 960 days 342.4
DO50813 56 years, male, NA, stage:2, alive, 420 days 340.3
DO23547 74 years, male, NA, stage:1, alive, 1020 days 337.6
DO50787 63 years, male, NA, stage:3, alive, 480 days 337.1
DO48728 74 years, female, NA, stage:2, alive, 150 days 337.1
DO23511 83 years, female, NA, stage:3, dead, 180 days 335.6
DO23523 52 years, male, NA, stage:3, alive, 1080 days 335.0
DO45096 69 years, male, NA, stage:2, dead, 1290 days 334.1
DO50816 63 years, male, NA, stage:2, alive, 390 days 328.0
DO45143 69 years, male, NA, stage:3, alive, 1290 days 322.3
DO45161 74 years, male, NA, stage:2, dead, 540 days 321.3
DO50804 81 years, male, NA, stage:2, alive, 720 days 318.5
DO50789 73 years, female, NA, stage:2, alive, 570 days 316.3
DO45169 74 years, male, NA, stage:3, alive, 1350 days 316.1
DO50819 72 years, female, NA, stage:2, alive, 510 days 314.4
DO45175 74 years, male, NA, stage:2, alive, 1140 days 312.1
DO45177 81 years, female, NA, stage:3, alive, 1260 days 310.4
DO45107 63 years, female, NA, stage:2, alive, 1710 days 310.0
DO45197 51 years, male, NA, stage:2, alive, 1170 days 309.8
DO50774 68 years, female, NA, stage:2, alive, 720 days 309.8
DO227643 79 years, male, NA, stage:2, alive, 1260 days 308.2
DO45201 49 years, male, NA, stage:1, alive, 900 days 305.8
DO48715 58 years, female, NA, stage:2, dead, 690 days 305.0
DO48693 71 years, male, NA, stage:2, alive, 900 days 298.9
DO45091 56 years, male, NA, stage:2, dead, 1320 days 296.7
DO50807 67 years, male, NA, stage:1, alive, 540 days 283.5
DO45094 76 years, male, NA, stage:3, alive, 1650 days 282.5
DO48757 68 years, female, NA, stage:3, alive, 480 days 280.8
DO48730 73 years, female, NA, stage:2, alive, 630 days 279.3
DO48721 58 years, female, NA, stage:1, alive, 900 days 278.5
DO45247 31 years, female, NA, stage:2, alive, 210 days 269.1
DO23532 71 years, female, NA, stage:1, alive, 960 days 267.5
DO45093 71 years, male, NA, stage:2, dead, 720 days 244.3
DO45109 63 years, male, NA, stage:2, alive, 1590 days 237.9
DO45229 74 years, male, NA, stage:1, alive, 990 days 234.7
DO45223 67 years, male, NA, stage:4, alive, 1020 days 230.7
DO45191 61 years, female, NA, stage:2, alive, 1200 days 220.4
DO48761 55 years, male, NA, stage:2, alive, 870 days 216.4
DO48727 81 years, female, NA, stage:2, dead, 390 days 211.5
DO45215 65 years, male, NA, stage:2, alive, 1170 days 207.8
DO48742 76 years, male, NA, stage:2, alive, 600 days 202.0
DO45181 84 years, female, NA, stage:2, alive, 1200 days 201.7
DO45101 63 years, male, NA, stage:2, alive, 1680 days 198.0
DO45167 67 years, male, NA, stage:2, dead, 1440 days 194.5
DO45233 83 years, male, NA, stage:3, alive, 900 days 193.9
DO23544 67 years, male, NA, stage:2, alive, 960 days 193.2
DO23538 67 years, male, NA, stage:2, alive, 450 days 191.0
DO45111 74 years, male, NA, stage:2, alive, 1590 days 188.1
DO23550 69 years, male, NA, stage:1, alive, 990 days 181.6
DO48760 70 years, female, NA, stage:2, alive, 690 days 180.2
DO45195 62 years, male, NA, stage:1, alive, 390 days 179.8
DO48674 80 years, male, NA, stage:2, alive, 1260 days 164.9
DO23551 73 years, male, NA, stage:3, dead, 150 days 161.2
DO23531 78 years, female, NA, stage:3, alive, 900 days 156.6
DO23517 62 years, male, NA, stage:2, alive, 1200 days 131.7
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LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples 330
Samples
Sample ID Sample type nRPX
436 Normal 0.6
432 Normal 0.6
723 Tumor 0.5
456 Normal 0.5
824 Normal 0.5
414 Normal 0.5
314 Normal 0.5
698 Normal 0.4
298 Normal 0.4
738 Normal 0.4
818 Normal 0.4
742 Normal 0.4
327 Tumor 0.4
278 Normal 0.4
514 Normal 0.4
666 Normal 0.4
1026 Normal 0.4
714 Normal 0.4
428 Normal 0.3
128 Normal 0.3
148 Normal 0.3
618 Normal 0.3
616 Normal 0.3
416 Normal 0.3
534 Normal 0.3
858 Normal 0.3
424 Normal 0.3
926 Normal 0.3
482 Normal 0.3
756 Normal 0.3
426 Normal 0.3
353 Tumor 0.3
564 Normal 0.3
914 Normal 0.3
777 Tumor 0.3
114 Normal 0.3
132 Normal 0.3
728 Normal 0.3
952 Normal 0.3
912 Normal 0.3
944 Normal 0.3
864 Normal 0.3
422 Normal 0.3
186 Normal 0.3
978 Normal 0.3
513 Tumor 0.3
232 Normal 0.3
196 Normal 0.3
354 Normal 0.3
332 Normal 0.3
188 Normal 0.3
1022 Normal 0.3
111 Normal 0.3
955 Tumor 0.3
964 Normal 0.3
222 Normal 0.3
126 Normal 0.3
218 Normal 0.3
648 Normal 0.3
272 Normal 0.3
258 Normal 0.3
362 Normal 0.3
568 Normal 0.3
262 Normal 0.3
662 Normal 0.3
172 Normal 0.3
574 Normal 0.3
446 Normal 0.3
466 Normal 0.3
286 Normal 0.3
342 Normal 0.3
388 Normal 0.3
356 Normal 0.3
452 Normal 0.3
376 Normal 0.3
615 Tumor 0.3
1046 Normal 0.3
394 Normal 0.3
786 Normal 0.2
434 Normal 0.2
868 Normal 0.2
862 Normal 0.2
866 Normal 0.2
716 Normal 0.2
1042 Normal 0.2
423 Tumor 0.2
162 Normal 0.2
464 Normal 0.2
364 Normal 0.2
966 Normal 0.2
882 Normal 0.2
412 Normal 0.2
546 Normal 0.2
628 Normal 0.2
386 Normal 0.2
228 Normal 0.2
136 Normal 0.2
448 Normal 0.2
642 Normal 0.2
663 Tumor 0.2
1044 Normal 0.2
472 Normal 0.2
1016 Normal 0.2
664 Normal 0.2
468 Normal 0.2
884 Normal 0.2
558 Normal 0.2
328 Normal 0.2
918 Normal 0.2
313 Tumor 0.2
554 Normal 0.2
528 Normal 0.2
462 Normal 0.2
358 Normal 0.2
627 Tumor 0.2
982 Normal 0.2
366 Normal 0.2
312 Normal 0.2
722 Normal 0.2
746 Normal 0.2
214 Normal 0.2
958 Normal 0.2
478 Normal 0.1
956 Normal 0.1
411 Tumor 0.1
938 Normal 0.1
1014 Normal 0.1
635 Tumor 0.1
392 Normal 0.1
526 Normal 0.1
396 Normal 0.1
284 Normal 0.1
744 Normal 0.1
146 Normal 0.1
516 Normal 0.1
976 Normal 0.1
778 Normal 0.1
922 Normal 0.1
852 Normal 0.1
484 Normal 0.1
113 Tumor 0.1
878 Normal 0.1
617 Tumor 0.1
741 Tumor 0.1
572 Normal 0.1
636 Normal 0.1
444 Normal 0.1
138 Normal 0.1
217 Tumor 0.1
724 Normal 0.1
863 Tumor 0.1
147 Tumor 0.1
142 Normal 0.1
124 Normal 0.1
874 Normal 0.1
1032 Normal 0.1
755 Tumor 0.1
867 Tumor 0.1
968 Normal 0.1
344 Normal 0.1
488 Normal 0.1
494 Normal 0.1
573 Tumor 0.1
727 Tumor 0.1
212 Normal 0.1
924 Normal 0.1
224 Normal 0.1
1015 Tumor 0.0
431 Tumor 0.0
352 Normal 0.0
957 Tumor 0.0
223 Tumor 0.0
981 Tumor 0.0
954 Normal 0.0
672 Normal 0.0
696 Normal 0.0
518 Normal 0.0
953 Tumor 0.0
127 Tumor 0.0
816 Normal 0.0
461 Tumor 0.0
384 Normal 0.0
445 Tumor 0.0
1028 Normal 0.0
268 Normal 0.0
686 Normal 0.0
415 Tumor 0.0
745 Tumor 0.0
192 Normal 0.0
515 Tumor 0.0
368 Normal 0.0
474 Normal 0.0
721 Tumor 0.0
277 Tumor 0.0
984 Normal 0.0
1013 Tumor 0.0
538 Normal 0.0
451 Tumor 0.0
925 Tumor 0.0
261 Tumor 0.0
873 Tumor 0.0
311 Tumor -0.1
524 Normal -0.1
481 Tumor -0.1
1045 Tumor -0.1
195 Tumor -0.1
1027 Tumor -0.1
861 Tumor -0.1
467 Tumor -0.1
387 Tumor -0.1
435 Tumor -0.1
365 Tumor -0.1
477 Tumor -0.1
533 Tumor -0.1
857 Tumor -0.1
563 Tumor -0.1
695 Tumor -0.1
665 Tumor -0.1
161 Tumor -0.1
413 Tumor -0.1
227 Tumor -0.1
737 Tumor -0.1
145 Tumor -0.1
443 Tumor -0.1
112 Tumor -0.1
851 Tumor -0.1
361 Tumor -0.1
187 Tumor -0.1
355 Tumor -0.1
525 Tumor -0.1
913 Tumor -0.1
455 Tumor -0.2
185 Tumor -0.2
536 Normal -0.2
141 Tumor -0.2
661 Tumor -0.2
433 Tumor -0.2
1043 Tumor -0.2
257 Tumor -0.2
363 Tumor -0.2
131 Tumor -0.2
1021 Tumor -0.2
393 Tumor -0.2
814 Normal -0.2
715 Tumor -0.2
647 Tumor -0.2
553 Tumor -0.2
123 Tumor -0.2
498 Normal -0.2
213 Tumor -0.2
191 Tumor -0.2
865 Tumor -0.2
911 Tumor -0.2
977 Tumor -0.2
785 Tumor -0.2
427 Tumor -0.2
492 Normal -0.2
916 Normal -0.2
557 Tumor -0.2
1031 Tumor -0.2
135 Tumor -0.2
567 Tumor -0.2
421 Tumor -0.2
341 Tumor -0.2
383 Tumor -0.2
271 Tumor -0.2
125 Tumor -0.3
465 Tumor -0.3
523 Tumor -0.3
1025 Tumor -0.3
137 Tumor -0.3
537 Tumor -0.3
823 Tumor -0.3
571 Tumor -0.3
915 Tumor -0.3
267 Tumor -0.3
221 Tumor -0.3
385 Tumor -0.3
951 Tumor -0.3
917 Tumor -0.3
923 Tumor -0.3
351 Tumor -0.3
357 Tumor -0.3
447 Tumor -0.3
713 Tumor -0.3
493 Tumor -0.3
425 Tumor -0.3
487 Tumor -0.3
527 Tumor -0.3
391 Tumor -0.3
517 Tumor -0.3
963 Tumor -0.3
375 Tumor -0.3
641 Tumor -0.4
171 Tumor -0.4
813 Tumor -0.4
471 Tumor -0.4
483 Tumor -0.4
671 Tumor -0.4
211 Tumor -0.4
395 Tumor -0.4
881 Tumor -0.4
883 Tumor -0.4
817 Tumor -0.4
943 Tumor -0.4
967 Tumor -0.4
975 Tumor -0.4
815 Tumor -0.4
343 Tumor -0.4
535 Tumor -0.4
685 Tumor -0.4
697 Tumor -0.4
463 Tumor -0.4
1041 Tumor -0.4
743 Tumor -0.4
983 Tumor -0.5
231 Tumor -0.5
297 Tumor -0.5
285 Tumor -0.5
491 Tumor -0.5
497 Tumor -0.5
331 Tumor -0.5
937 Tumor -0.5
283 Tumor -0.5
877 Tumor -0.5
367 Tumor -0.5
921 Tumor -0.5
473 Tumor -0.5
965 Tumor -0.6
545 Tumor -0.7
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 HPA006700
 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

Contact

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