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BETA
  • SUMMARY

  • TISSUE

  • BRAIN

  • SINGLE CELL

  • IMMUNE

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  • RASSF7
CANCER LIVER CANCER Show tissue menu
BILIARY TRACT CANCER BREAST CANCER CARCINOID CERVICAL CANCER COLORECTAL CANCER ENDOMETRIAL CANCER FALLOPIAN TUBE CANCER GLIOMA
HEAD AND NECK CANCER LIVER CANCER LUNG CANCER LYMPHOMA MELANOMA OVARIAN CANCER PANCREATIC CANCER PROSTATE CANCER
RENAL CANCER SARCOMA SKIN CANCER STOMACH CANCER TESTIS CANCER THYMIC CANCER THYROID CANCER UROTHELIAL CANCER
LIHC TCGA LIHC VALIDATION PROTEIN LIHC CPTAC PROTEIN HCC PROTEINTALKS DB
Dictionary
Liver cancer
Human cancer
Liver cancer
Cancer methods
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.

RASSF7 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 (pTPM) 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 pTPM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (pTPM) was examined. The best expression cut-off refers the pTPM 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.

: 38.51
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
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 36.2
Number of samples 362
Samples
Sample Description pTPM
TCGA-WQ-A9G7-01A 71 years, female, white, stage:'--, alive, 30 days 239.9
TCGA-G3-A25S-01A 64 years, male, white, stage:Stage I, dead, 416 days 239.3
TCGA-DD-A4NA-01A 67 years, female, white, stage:Stage IIIC, alive, 1008 days 204.1
TCGA-G3-A7M6-01A 60 years, female, white, stage:Stage I, alive, 632 days 186.1
TCGA-BC-A69H-01A 64 years, male, white, stage:Stage II, alive, 444 days 163.7
TCGA-G3-A25T-01A 45 years, female, white, stage:Stage IIIA, alive, 1553 days 150.1
TCGA-FV-A3I0-01A 76 years, female, white, stage:Stage II, alive, 848 days 149.6
TCGA-DD-A73G-01A 73 years, female, white, stage:Stage I, alive, 3478 days 140.5
TCGA-DD-AACH-01A 69 years, male, asian, stage:Stage II, dead, 195 days 121.9
TCGA-DD-AA3A-01A 81 years, female, white, stage:Stage I, dead, 410 days 118.3
TCGA-ED-A97K-01A 54 years, male, asian, stage:Stage IIIA, alive, 6 days 117.1
TCGA-DD-AAE0-01A 45 years, female, asian, stage:Stage IIIA, alive, 555 days 116.5
TCGA-RC-A7SH-01A 42 years, male, asian, stage:Stage II, alive, 468 days 115.7
TCGA-FV-A4ZP-01A 78 years, male, white, stage:Stage IIIA, dead, 2486 days 114.7
TCGA-ED-A82E-01A 60 years, female, asian, stage:Stage IIIA, alive, 408 days 114.4
TCGA-2Y-A9GY-01A 64 years, female, white, stage:Stage II, dead, 757 days 110.6
TCGA-DD-A4NH-01A 65 years, female, white, stage:Stage IIIB, alive, 917 days 108.8
TCGA-CC-5263-01A 35 years, male, asian, stage:Stage IIIA, dead, 129 days 107.4
TCGA-BC-A217-01A 75 years, female, white, stage:Stage II, dead, 1397 days 98.8
TCGA-DD-A39Y-01A 67 years, male, asian, stage:Stage I, dead, 171 days 98.2
TCGA-BC-A10Q-01A 72 years, female, white, stage:'--, dead, 1135 days 93.9
TCGA-BC-A3KG-01A 68 years, female, white, stage:Stage II, alive, 680 days 91.3
TCGA-ZP-A9D2-01A 51 years, male, white, stage:'--, dead, 765 days 90.9
TCGA-DD-A4NN-01A 56 years, female, white, stage:Stage I, dead, 899 days 90.5
TCGA-RC-A6M6-01A 75 years, male, white, stage:Stage II, alive, 9 days 90.3
TCGA-DD-A3A1-01A 65 years, male, stage:Stage IIIA, dead, 233 days 87.0
TCGA-DD-A3A7-01A 67 years, male, stage:Stage IIIB, dead, 419 days 87.0
TCGA-2Y-A9H2-01A 64 years, female, white, stage:Stage I, alive, 1731 days 83.3
TCGA-DD-AACQ-01A 50 years, male, asian, stage:Stage II, dead, 432 days 83.2
TCGA-CC-A8HV-01A 51 years, female, asian, stage:Stage II, dead, 279 days 83.1
TCGA-CC-A5UE-01A 48 years, male, asian, stage:Stage IIIB, dead, 272 days 81.0
TCGA-G3-A25Y-01A 52 years, female, asian, stage:Stage I, dead, 452 days 80.4
TCGA-G3-A25X-01A 73 years, male, asian, stage:Stage II, alive, 1779 days 75.8
TCGA-DD-AAED-01A 51 years, male, asian, stage:Stage I, alive, 763 days 75.4
TCGA-K7-AAU7-01A 61 years, male, white, stage:Stage II, alive, 359 days 73.9
TCGA-DD-A115-01A 53 years, male, white, stage:Stage IIIA, dead, 2542 days 71.9
TCGA-EP-A2KA-01A 52 years, female, white, stage:Stage IIIA, dead, 627 days 68.9
TCGA-ED-A5KG-01A 60 years, female, asian, stage:Stage II, alive, 854 days 68.6
TCGA-ED-A7PX-01A 48 years, female, asian, stage:Stage II, alive, 6 days 68.0
TCGA-DD-A1EH-01A 23 years, male, white, stage:Stage III, alive, 1495 days 67.0
TCGA-CC-A3MB-01A 36 years, male, asian, stage:Stage IIIA, dead, 315 days 66.9
TCGA-FV-A495-01A 51 years, female, white, stage:Stage II, alive, 1 days 66.7
TCGA-BC-A10U-01A 69 years, male, white, stage:'--, dead, 837 days 65.9
TCGA-WX-AA44-01A 64 years, female, white, stage:Stage I, alive, 615 days 64.2
TCGA-CC-5264-01A 71 years, male, asian, stage:Stage IIIA, dead, 102 days 63.9
TCGA-RC-A7SK-01A 59 years, male, asian, stage:Stage I, alive, 472 days 62.7
TCGA-UB-A7MF-01A 56 years, male, white, stage:Stage IIIA, dead, 214 days 61.2
TCGA-DD-A39Z-01A 43 years, female, stage:Stage II, dead, 601 days 61.2
TCGA-BC-A5W4-01A 69 years, male, white, stage:Stage IIIA, dead, 547 days 60.8
TCGA-EP-A26S-01A 70 years, male, white, stage:Stage I, alive, 608 days 60.3
TCGA-DD-AACI-01A 69 years, male, asian, stage:Stage II, alive, 1618 days 60.1
TCGA-G3-AAUZ-01A 48 years, male, stage:Stage I, alive, 480 days 60.1
TCGA-ED-A7PY-01A 20 years, female, asian, stage:Stage II, alive, 390 days 59.9
TCGA-G3-A3CG-01A 80 years, male, white, stage:Stage I, alive, 673 days 59.8
TCGA-2Y-A9H1-01A 58 years, male, white, stage:Stage I, dead, 1229 days 58.3
TCGA-FV-A3I1-01A 81 years, female, white, stage:Stage II, dead, 247 days 58.2
TCGA-ZS-A9CF-01A 64 years, male, white, stage:Stage II, alive, 2412 days 57.9
TCGA-G3-AAV7-01A 38 years, male, asian, stage:Stage II, alive, 361 days 57.7
TCGA-KR-A7K8-01A 57 years, male, stage:Stage I, alive, 906 days 55.9
TCGA-CC-A5UD-01A 45 years, male, asian, stage:Stage IIIA, dead, 304 days 55.8
TCGA-CC-5261-01A 44 years, male, asian, stage:Stage II, dead, 97 days 55.4
TCGA-MI-A75C-01A 64 years, male, white, stage:Stage I, alive, 291 days 54.7
TCGA-DD-A3A9-01A 64 years, female, white, stage:Stage IVB, dead, 931 days 53.9
TCGA-5C-A9VH-01A 70 years, male, white, stage:Stage I, alive, 322 days 53.4
TCGA-LG-A6GG-01A 79 years, female, white, stage:Stage II, alive, 387 days 51.8
TCGA-RC-A7S9-01A 47 years, female, asian, stage:Stage I, alive, 640 days 51.7
TCGA-DD-AADF-01A 64 years, female, asian, stage:Stage I, dead, 115 days 51.6
TCGA-DD-A1EJ-01A 71 years, female, white, stage:Stage IIIC, dead, 1005 days 51.6
TCGA-ED-A7PZ-01A 61 years, male, asian, stage:Stage II, alive, 6 days 51.4
TCGA-DD-AADI-01A 43 years, female, asian, stage:Stage I, alive, 1085 days 51.2
TCGA-2Y-A9H9-01A 70 years, male, white, stage:Stage I, alive, 697 days 51.0
TCGA-T1-A6J8-01A 68 years, male, white, stage:'--, alive, 23 days 50.8
TCGA-2Y-A9GS-01A 58 years, male, white, stage:'--, dead, 724 days 50.6
TCGA-DD-A114-01A 42 years, male, black or african american, stage:Stage II, dead, 1149 days 50.1
TCGA-UB-A7MD-01A 67 years, male, black or african american, stage:Stage I, dead, 52 days 50.0
TCGA-CC-A9FW-01A 68 years, male, asian, stage:Stage IIIA, alive, 248 days 49.7
TCGA-XR-A8TG-01A 58 years, male, white, stage:Stage I, alive, 898 days 48.7
TCGA-G3-A7M9-01A 70 years, male, white, stage:Stage IIIB, dead, 56 days 48.1
TCGA-DD-A3A5-01A 66 years, female, white, stage:Stage III, dead, 3125 days 47.7
TCGA-2Y-A9H5-01A 59 years, female, white, stage:Stage I, dead, 555 days 46.9
TCGA-MI-A75G-01A 63 years, male, white, stage:Stage II, alive, 698 days 46.0
TCGA-2Y-A9H4-01A 68 years, male, black or african american, stage:Stage I, alive, 1452 days 45.6
TCGA-UB-A7ME-01A 51 years, male, asian, stage:Stage I, alive, 486 days 45.6
TCGA-BW-A5NO-01A 50 years, male, black or african american, stage:Stage IIIA, alive, 20 days 45.6
TCGA-DD-AADB-01A 51 years, male, asian, stage:Stage I, alive, 1242 days 45.5
TCGA-KR-A7K2-01A 64 years, male, white, stage:Stage I, alive, 829 days 45.0
TCGA-DD-AAE6-01A 59 years, female, asian, stage:Stage I, alive, 141 days 44.9
TCGA-QA-A7B7-01A 48 years, male, black or african american, stage:Stage II, alive, 94 days 44.6
TCGA-ED-A66Y-01A 51 years, female, asian, stage:Stage IIIA, dead, 296 days 44.4
TCGA-2Y-A9H7-01A 81 years, female, white, stage:Stage I, alive, 1168 days 44.1
TCGA-DD-A11D-01A 57 years, female, white, stage:Stage I, dead, 1560 days 43.8
TCGA-DD-A4NQ-01A 60 years, male, white, stage:Stage II, dead, 373 days 43.7
TCGA-CC-5260-01A 61 years, female, asian, stage:Stage IIIC, dead, 87 days 43.3
TCGA-ED-A8O5-01A 59 years, female, asian, stage:Stage IIIA, alive, 406 days 43.2
TCGA-ZP-A9D0-01A 67 years, female, black or african american, stage:'--, alive, 1091 days 43.1
TCGA-FV-A2QR-01A 75 years, male, white, stage:Stage I, dead, 581 days 43.1
TCGA-MI-A75E-01A 61 years, male, white, stage:Stage IIIC, alive, 507 days 42.8
TCGA-DD-AADV-01A 50 years, male, asian, stage:Stage I, alive, 574 days 42.5
TCGA-WJ-A86L-01A 68 years, female, white, stage:Stage I, alive, 345 days 42.0
TCGA-DD-AAW0-01A 54 years, male, asian, stage:Stage I, alive, 2015 days 41.9
TCGA-DD-A73A-01A 71 years, male, white, stage:Stage I, alive, 728 days 41.9
TCGA-PD-A5DF-01A 58 years, female, white, stage:Stage IIIB, dead, 639 days 41.7
TCGA-CC-A1HT-01A 50 years, male, asian, stage:Stage IIIA, dead, 101 days 41.5
TCGA-G3-AAV6-01A 53 years, female, white, stage:Stage IIIA, dead, 65 days 41.5
TCGA-DD-AAVV-01A 56 years, male, asian, stage:Stage II, alive, 2455 days 40.5
TCGA-2Y-A9H8-01A 85 years, female, white, stage:'--, dead, 633 days 40.5
TCGA-DD-AAEG-01A 59 years, female, asian, stage:Stage I, alive, 719 days 40.5
TCGA-4R-AA8I-01A 66 years, male, white, stage:Stage II, dead, 262 days 40.4
TCGA-DD-AACK-01A 70 years, male, asian, stage:Stage I, alive, 9 days 40.2
TCGA-DD-AACL-01A 66 years, female, asian, stage:Stage I, dead, 107 days 40.2
TCGA-BC-A10Y-01A 76 years, male, white, stage:'--, dead, 711 days 40.1
TCGA-DD-A4NR-01A 85 years, female, white, stage:Stage I, dead, 9 days 39.8
TCGA-ZS-A9CD-01A 73 years, male, white, stage:Stage II, dead, 1386 days 39.6
TCGA-DD-AACC-01A 61 years, male, asian, stage:Stage I, dead, 1685 days 38.8
TCGA-BC-A10Z-01A 62 years, female, white, stage:Stage I, dead, 34 days 38.5
TCGA-DD-A4NJ-01A 54 years, female, white, stage:Stage II, alive, 928 days 38.5
TCGA-2Y-A9H3-01A 45 years, male, white, stage:Stage II, alive, 1516 days 38.4
TCGA-DD-A4NS-01A 61 years, female, white, stage:Stage I, dead, 2456 days 38.3
TCGA-BC-A8YO-01A 66 years, female, white, stage:Stage IIIC, alive, 562 days 38.2
TCGA-DD-AAD3-01A 43 years, male, asian, stage:Stage I, alive, 1295 days 37.9
TCGA-2Y-A9GZ-01A 82 years, female, white, stage:Stage II, dead, 848 days 37.8
TCGA-G3-A5SJ-01A 59 years, male, white, stage:Stage I, alive, 698 days 37.3
TCGA-DD-AACV-01A 53 years, male, asian, stage:Stage I, alive, 1531 days 37.1
TCGA-DD-A4NV-01A 61 years, male, white, stage:Stage IIIA, alive, 2398 days 36.8
TCGA-DD-AACU-01A 59 years, male, asian, stage:Stage I, alive, 1567 days 36.7
TCGA-ED-A7XP-01A 53 years, female, asian, stage:Stage II, alive, 400 days 36.5
TCGA-MI-A75I-01A 61 years, male, black or african american, stage:'--, alive, 630 days 36.3
TCGA-ED-A627-01A 74 years, male, white, stage:Stage I, alive, 423 days 35.8
TCGA-2Y-A9H0-01A 49 years, male, white, stage:Stage IIIA, alive, 3675 days 35.6
TCGA-UB-A7MA-01A 62 years, female, white, stage:Stage II, alive, 848 days 35.6
TCGA-DD-AACO-01A 40 years, male, asian, stage:Stage I, alive, 1876 days 35.2
TCGA-BC-A10W-01A 50 years, male, asian, stage:'--, dead, 91 days 35.1
TCGA-UB-AA0U-01A 60 years, male, white, stage:Stage II, alive, 327 days 34.9
TCGA-ZP-A9D1-01A 56 years, female, white, stage:'--, alive, 21 days 34.6
TCGA-DD-AACY-01A 61 years, male, asian, stage:Stage I, alive, 1450 days 34.5
TCGA-DD-A4NK-01A 80 years, female, white, stage:Stage IIIA, dead, 1210 days 34.5
TCGA-DD-A1EL-01A 23 years, male, black or african american, stage:Stage II, dead, 415 days 34.3
TCGA-DD-AAVZ-01A 38 years, male, asian, stage:Stage I, alive, 1900 days 34.1
TCGA-EP-A3RK-01A 73 years, male, white, stage:Stage IIIA, alive, 363 days 34.1
TCGA-DD-A1EK-01A 64 years, female, white, stage:Stage IVB, dead, 558 days 33.6
TCGA-DD-A3A3-01A 45 years, male, asian, stage:Stage I, dead, 535 days 33.4
TCGA-CC-A3MA-01A 61 years, male, asian, stage:Stage IIIA, dead, 303 days 33.3
TCGA-BC-A112-01A 80 years, male, white, stage:'--, dead, 153 days 33.2
TCGA-GJ-A9DB-01A 68 years, male, white, stage:Stage I, dead, 67 days 33.2
TCGA-BC-A10S-01A 81 years, male, white, stage:'--, dead, 1423 days 32.9
TCGA-DD-AADL-01A 58 years, male, asian, stage:Stage I, alive, 636 days 32.8
TCGA-DD-AACW-01A 43 years, male, asian, stage:Stage I, alive, 1424 days 32.8
TCGA-ZP-A9CV-01A 59 years, male, white, stage:'--, dead, 1088 days 32.7
TCGA-ED-A8O6-01A 50 years, female, asian, stage:Stage IIIA, dead, 56 days 32.6
TCGA-DD-AADA-01A 66 years, female, asian, stage:Stage I, alive, 1233 days 32.0
TCGA-G3-AAV5-01A 67 years, male, white, stage:Stage II, alive, 354 days 31.8
TCGA-DD-AAVQ-01A 38 years, male, asian, stage:Stage I, alive, 2728 days 31.7
TCGA-FV-A23B-01A 70 years, female, white, stage:Stage II, dead, 1852 days 31.6
TCGA-BD-A3EP-01A 75 years, female, black or african american, stage:Stage I, alive, 409 days 31.6
TCGA-DD-AADS-01A 63 years, male, asian, stage:Stage I, alive, 474 days 31.5
TCGA-CC-A7II-01A 54 years, male, asian, stage:Stage IIIA, alive, 399 days 31.3
TCGA-BC-A10R-01A 66 years, female, white, stage:'--, dead, 308 days 31.2
TCGA-DD-AAVR-01A 44 years, male, asian, stage:Stage I, alive, 2513 days 30.8
TCGA-KR-A7K7-01A 61 years, female, white, stage:Stage II, alive, 951 days 30.8
TCGA-G3-A25V-01A 68 years, male, white, stage:Stage I, alive, 860 days 30.7
TCGA-LG-A9QD-01A 68 years, male, white, stage:Stage IIIA, alive, 366 days 30.7
TCGA-CC-A8HS-01A 18 years, male, asian, stage:Stage IIIC, dead, 300 days 30.7
TCGA-CC-5259-01A 60 years, female, asian, stage:Stage IIIC, alive, 250 days 30.3
TCGA-ZP-A9CY-01A 66 years, female, white, stage:'--, alive, 782 days 30.2
TCGA-ZS-A9CE-01A 79 years, female, white, stage:Stage II, alive, 1241 days 30.0
TCGA-3K-AAZ8-01A 65 years, male, black or african american, stage:Stage IIIB, alive, 396 days 29.8
TCGA-ES-A2HT-01A 54 years, male, black or african american, stage:Stage I, dead, 438 days 29.7
TCGA-GJ-A6C0-01A 75 years, female, white, stage:Stage II, dead, 31 days 29.6
TCGA-DD-AADP-01A 45 years, male, asian, stage:Stage I, alive, 458 days 29.6
TCGA-K7-A6G5-01A 66 years, male, white, stage:Stage I, alive, 512 days 29.6
TCGA-DD-AAD8-01A 73 years, female, asian, stage:Stage I, alive, 1219 days 29.2
TCGA-DD-AACN-01A 32 years, male, asian, stage:Stage I, alive, 1302 days 29.1
TCGA-DD-AAC8-01A 72 years, male, asian, stage:Stage I, dead, 16 days 29.0
TCGA-HP-A5N0-01A 90 years, female, stage:'--, dead, 752 days 29.0
TCGA-DD-AAVS-01A 56 years, male, asian, stage:Stage I, alive, 1823 days 28.6
TCGA-DD-AAD0-01A 73 years, female, asian, stage:Stage I, alive, 137 days 28.5
TCGA-2Y-A9H6-01A 68 years, female, white, stage:Stage I, alive, 357 days 28.5
TCGA-CC-A7IE-01A 57 years, male, asian, stage:Stage IIIA, dead, 217 days 28.3
TCGA-CC-A3MC-01A 54 years, male, asian, stage:Stage IIIA, alive, 363 days 28.0
TCGA-BC-A216-01A 62 years, female, white, stage:Stage IIIA, alive, 1351 days 27.9
TCGA-O8-A75V-01A 54 years, male, stage:Stage I, alive, 538 days 27.8
TCGA-DD-AACT-01A 69 years, female, asian, stage:Stage I, alive, 1562 days 27.8
TCGA-DD-A113-01A 55 years, female, white, stage:Stage II, alive, 2425 days 27.6
TCGA-DD-A11B-01A 73 years, male, white, stage:Stage I, dead, 14 days 27.4
TCGA-2Y-A9GV-01A 54 years, female, white, stage:Stage I, dead, 2532 days 27.3
TCGA-RC-A7SF-01A 66 years, male, asian, stage:Stage I, alive, 579 days 27.2
TCGA-ZP-A9D4-01A 64 years, female, white, stage:'--, alive, 395 days 27.0
TCGA-DD-AAD2-01A 66 years, male, asian, stage:Stage I, alive, 658 days 26.9
TCGA-DD-AACE-01A 62 years, male, asian, stage:Stage I, alive, 2184 days 26.9
TCGA-DD-A39X-01A 78 years, female, white, stage:Stage I, dead, 1694 days 26.5
TCGA-G3-A5SM-01A 58 years, male, white, stage:Stage II, alive, 520 days 26.5
TCGA-EP-A2KC-01A 62 years, male, black or african american, stage:Stage I, dead, 19 days 26.5
TCGA-DD-AAD1-01A 51 years, female, asian, stage:Stage I, alive, 564 days 26.4
TCGA-EP-A3JL-01A 76 years, male, white, stage:Stage I, alive, 303 days 26.2
TCGA-G3-A5SI-01A 44 years, male, asian, stage:Stage II, dead, 768 days 26.1
TCGA-XR-A8TD-01A 49 years, female, white, stage:Stage IIIB, alive, 1030 days 25.9
TCGA-DD-A4ND-01A 56 years, female, white, stage:Stage I, alive, 2746 days 25.9
TCGA-LG-A9QC-01A 48 years, male, white, stage:Stage I, alive, 425 days 25.8
TCGA-DD-AAE7-01A 72 years, male, asian, stage:Stage I, alive, 644 days 25.7
TCGA-2Y-A9GX-01A 68 years, male, white, stage:Stage I, alive, 2442 days 25.6
TCGA-FV-A4ZQ-01A 52 years, male, white, stage:Stage I, alive, 12 days 25.6
TCGA-XR-A8TC-01A 43 years, female, white, stage:Stage I, alive, 1339 days 25.4
TCGA-BD-A3ER-01A 62 years, male, white, stage:Stage II, alive, 1115 days 25.3
TCGA-2Y-A9GW-01A 64 years, male, white, stage:Stage I, dead, 1271 days 25.2
TCGA-G3-A7M7-01A 65 years, male, white, stage:Stage I, alive, 361 days 25.2
TCGA-DD-AAVW-01A 35 years, male, asian, stage:Stage I, alive, 2317 days 24.9
TCGA-CC-A8HU-01A 39 years, female, asian, stage:Stage IIIA, dead, 344 days 24.7
TCGA-DD-AACF-01A 68 years, male, asian, stage:Stage I, dead, 365 days 24.7
TCGA-DD-A73F-01A 77 years, female, white, stage:Stage I, alive, 1085 days 24.6
TCGA-DD-A11C-01A 69 years, male, white, stage:Stage I, alive, 662 days 24.4
TCGA-DD-AAVU-01A 46 years, male, asian, stage:Stage II, alive, 2202 days 24.1
TCGA-DD-A4NO-01A 65 years, male, white, stage:Stage I, alive, 2245 days 23.9
TCGA-DD-AACS-01A 39 years, male, asian, stage:Stage I, alive, 1804 days 23.9
TCGA-FV-A2QQ-01A 80 years, male, white, stage:Stage I, alive, 729 days 23.7
TCGA-BD-A2L6-01A 69 years, male, white, stage:'--, alive, 1363 days 23.6
TCGA-GJ-A3OU-01A 59 years, male, white, stage:Stage I, alive, 879 days 23.4
TCGA-BC-A110-01A 51 years, female, black or african american, stage:'--, dead, 2116 days 23.2
TCGA-DD-A73E-01A 66 years, male, white, stage:Stage I, alive, 44 days 22.9
TCGA-DD-A73B-01A 72 years, female, white, stage:Stage I, dead, 283 days 22.9
TCGA-DD-AADM-01A 58 years, male, asian, stage:Stage II, dead, 12 days 22.6
TCGA-DD-A1EG-01A 76 years, male, white, stage:Stage I, dead, 1372 days 22.6
TCGA-G3-AAV4-01A 83 years, female, white, stage:Stage I, dead, 27 days 22.6
TCGA-DD-AAE4-01A 49 years, female, asian, stage:Stage I, alive, 608 days 22.4
TCGA-DD-AACZ-01A 63 years, female, asian, stage:Stage I, dead, 171 days 22.4
TCGA-DD-AACP-01A 64 years, male, asian, stage:Stage I, alive, 415 days 22.3
TCGA-BC-A69I-01A 69 years, male, white, stage:Stage I, alive, 387 days 22.3
TCGA-K7-A5RF-01A 64 years, male, white, stage:Stage I, alive, 631 days 22.2
TCGA-DD-AADC-01A 53 years, male, asian, stage:Stage I, dead, 425 days 22.1
TCGA-FV-A3R3-01A 38 years, female, white, stage:Stage I, dead, 366 days 21.7
TCGA-FV-A3R2-01A 75 years, male, white, stage:Stage I, dead, 194 days 21.6
TCGA-5R-AAAM-01A 65 years, female, white, stage:Stage II, dead, 46 days 21.6
TCGA-G3-A25U-01A 63 years, female, asian, stage:Stage I, alive, 1636 days 21.5
TCGA-DD-A1EE-01A 73 years, male, white, stage:Stage IIIA, dead, 349 days 21.4
TCGA-DD-AADW-01A 48 years, male, asian, stage:Stage I, alive, 587 days 21.4
TCGA-G3-AAV2-01A 50 years, male, white, stage:Stage I, alive, 372 days 21.2
TCGA-2Y-A9GU-01A 55 years, female, white, stage:Stage I, alive, 1939 days 21.2
TCGA-ED-A7XO-01A 29 years, male, asian, stage:Stage IIIA, alive, 427 days 21.2
TCGA-K7-A5RG-01A 66 years, male, black or african american, stage:Stage I, alive, 519 days 21.1
TCGA-CC-A8HT-01A 74 years, male, asian, stage:Stage IIIA, dead, 140 days 20.9
TCGA-DD-AAEH-01A 73 years, male, asian, stage:Stage I, alive, 784 days 20.6
TCGA-DD-A4NL-01A 46 years, male, white, stage:Stage I, alive, 1711 days 20.4
TCGA-DD-AADQ-01A 59 years, male, asian, stage:Stage II, alive, 436 days 20.3
TCGA-KR-A7K0-01A 65 years, male, white, stage:Stage I, dead, 65 days 20.1
TCGA-DD-A1EI-01A 46 years, male, asian, stage:Stage I, alive, 183 days 20.0
TCGA-DD-A39V-01A 77 years, male, white, stage:Stage II, dead, 643 days 19.9
TCGA-DD-AAVY-01A 56 years, male, asian, stage:Stage IIIA, alive, 1970 days 19.9
TCGA-DD-A118-01A 77 years, female, white, stage:Stage II, alive, 3437 days 19.5
TCGA-DD-A3A8-01A 75 years, male, white, stage:Stage II, dead, 11 days 19.4
TCGA-DD-A1EF-01A 57 years, female, white, stage:Stage I, dead, 394 days 19.0
TCGA-UB-A7MB-01A 24 years, male, white, stage:Stage II, alive, 601 days 19.0
TCGA-DD-AADY-01A 55 years, female, asian, stage:Stage I, alive, 555 days 18.7
TCGA-DD-A3A4-01A 37 years, male, white, stage:Stage IIIA, dead, 612 days 18.7
TCGA-HP-A5MZ-01A 78 years, male, stage:Stage I, dead, 91 days 18.5
TCGA-ED-A4XI-01A 58 years, male, asian, stage:Stage II, alive, 819 days 18.4
TCGA-EP-A12J-01A 62 years, male, black or african american, stage:Stage I, alive, 570 days 18.3
TCGA-DD-AACJ-01A 75 years, male, asian, stage:Stage II, alive, 2102 days 18.3
TCGA-DD-AACX-01A 66 years, male, asian, stage:Stage II, alive, 170 days 18.2
TCGA-WX-AA47-01A 33 years, female, white, stage:Stage IIIA, dead, 556 days 18.2
TCGA-DD-A4NI-01A 67 years, male, white, stage:Stage II, alive, 816 days 17.9
TCGA-DD-AAEA-01A 65 years, male, asian, stage:Stage I, alive, 575 days 17.9
TCGA-G3-A3CH-01A 53 years, male, asian, stage:Stage IIIA, alive, 780 days 17.8
TCGA-DD-A4NP-01A 32 years, male, white, stage:Stage I, alive, 3308 days 17.8
TCGA-NI-A8LF-01A 74 years, male, white, stage:Stage I, alive, 799 days 17.5
TCGA-G3-A3CK-01A 61 years, male, asian, stage:Stage I, alive, 585 days 17.4
TCGA-RC-A7SB-01A 53 years, male, asian, stage:Stage II, alive, 588 days 17.2
TCGA-DD-AAVX-01A 38 years, male, asian, stage:Stage II, alive, 1718 days 17.0
TCGA-FV-A496-01A 84 years, female, white, stage:Stage I, alive, 10 days 17.0
TCGA-G3-A5SK-01A 58 years, male, white, stage:Stage I, alive, 744 days 16.9
TCGA-5C-A9VG-01A 58 years, male, white, stage:Stage II, alive, 328 days 16.9
TCGA-DD-A4NE-01A 75 years, female, white, stage:Stage IIIA, dead, 660 days 16.8
TCGA-DD-AAEB-01A 60 years, male, asian, stage:Stage I, alive, 478 days 16.4
TCGA-CC-A7IH-01A 58 years, male, asian, stage:Stage IIIA, alive, 365 days 16.4
TCGA-DD-AADU-01A 60 years, male, asian, stage:Stage II, alive, 554 days 16.3
TCGA-DD-A1EA-01A 68 years, male, asian, stage:Stage II, alive, 2415 days 16.3
TCGA-XR-A8TE-01A 16 years, male, white, stage:Stage IIIA, alive, 925 days 16.2
TCGA-DD-AACG-01A 52 years, male, asian, stage:Stage II, dead, 469 days 16.2
TCGA-5C-AAPD-01A 61 years, male, asian, stage:Stage II, alive, 20 days 15.7
TCGA-RC-A6M4-01A 74 years, female, white, stage:Stage IIIA, alive, 22 days 15.3
TCGA-DD-A39W-01A 29 years, female, white, stage:Stage III, dead, 827 days 15.2
TCGA-DD-AADR-01A 58 years, male, asian, stage:Stage I, alive, 2028 days 15.2
TCGA-DD-A1EC-01A 20 years, female, white, stage:Stage I, alive, 602 days 15.0
TCGA-CC-A123-01A 24 years, female, asian, stage:Stage IIIA, alive, 219 days 15.0
TCGA-DD-AAE1-01A 52 years, male, asian, stage:Stage I, alive, 552 days 14.9
TCGA-G3-AAV0-01A 58 years, male, asian, stage:Stage I, alive, 476 days 14.7
TCGA-WQ-AB4B-01A 62 years, male, white, stage:Stage II, alive, 395 days 14.6
TCGA-2Y-A9HB-01A 66 years, male, stage:Stage I, alive, 260 days 14.5
TCGA-G3-A7M8-01A 31 years, male, asian, stage:Stage I, alive, 430 days 14.4
TCGA-MI-A75H-01A 77 years, male, white, stage:'--, alive, 747 days 14.4
TCGA-EP-A2KB-01A 46 years, female, white, stage:Stage I, dead, 596 days 14.3
TCGA-BC-A3KF-01A 66 years, female, white, stage:Stage I, alive, 8 days 14.2
TCGA-DD-AACA-01A 65 years, male, asian, stage:Stage I, alive, 2301 days 13.9
TCGA-WX-AA46-01A 61 years, male, white, stage:Stage II, alive, 756 days 13.7
TCGA-UB-AA0V-01A 69 years, female, white, stage:Stage I, alive, 314 days 13.7
TCGA-YA-A8S7-01A 68 years, male, white, stage:Stage IIIA, dead, 412 days 13.7
TCGA-MR-A520-01A 58 years, male, white, stage:Stage I, alive, 229 days 13.4
TCGA-BC-A10X-01A 52 years, female, white, stage:Stage IIIA, dead, 770 days 13.3
TCGA-RC-A6M5-01A 20 years, female, white, stage:Stage IVA, alive, 15 days 13.3
TCGA-CC-A5UC-01A 63 years, male, asian, stage:Stage IIIA, dead, 347 days 13.2
TCGA-RG-A7D4-01A 69 years, male, black or african american, stage:Stage II, alive, 1098 days 12.8
TCGA-ES-A2HS-01A 80 years, male, white, stage:Stage I, dead, 688 days 12.4
TCGA-DD-AADN-01A 59 years, male, asian, stage:Stage I, alive, 898 days 12.2
TCGA-DD-A119-01A 40 years, male, asian, stage:Stage IV, dead, 223 days 12.1
TCGA-DD-A4NB-01A 25 years, male, white, stage:Stage I, alive, 989 days 12.1
TCGA-DD-AACB-01A 74 years, female, asian, stage:Stage I, alive, 2324 days 11.9
TCGA-2Y-A9GT-01A 51 years, male, white, stage:Stage I, dead, 1624 days 11.6
TCGA-G3-A3CI-01A 71 years, male, white, stage:Stage I, alive, 180 days 11.4
TCGA-CC-5258-01A 48 years, male, asian, stage:Stage II, dead, 129 days 11.4
TCGA-DD-AAVP-01A 48 years, male, asian, stage:Stage I, alive, 2752 days 11.2
TCGA-DD-AADD-01A 51 years, male, asian, stage:Stage I, alive, 1231 days 11.2
TCGA-2Y-A9HA-01A 70 years, male, white, stage:Stage II, dead, 36 days 11.1
TCGA-CC-A9FS-01A 55 years, male, asian, stage:Stage II, alive, 211 days 11.0
TCGA-CC-A3M9-01A 45 years, male, asian, stage:Stage IIIA, dead, 300 days 10.9
TCGA-DD-A4NG-01A 77 years, male, white, stage:Stage IIIA, dead, 802 days 10.7
TCGA-DD-A116-01A 68 years, male, asian, stage:Stage IIIA, dead, 1622 days 10.7
TCGA-DD-AAEI-01A 72 years, male, asian, stage:Stage I, alive, 1531 days 10.7
TCGA-ED-A66X-01A 35 years, male, asian, stage:Stage IIIA, alive, 406 days 10.0
TCGA-CC-A7IL-01A 61 years, male, asian, stage:Stage IIIA, dead, 278 days 9.8
TCGA-DD-AAW2-01A 69 years, male, asian, stage:Stage I, alive, 1855 days 9.5
TCGA-DD-AADG-01A 70 years, male, asian, stage:Stage IIIA, alive, 1145 days 9.3
TCGA-5R-AA1C-01A 57 years, male, white, stage:Stage II, alive, 520 days 9.2
TCGA-ZS-A9CG-01A 55 years, male, white, stage:Stage II, alive, 341 days 9.2
TCGA-DD-A4NF-01A 72 years, male, white, stage:Stage I, alive, 942 days 9.1
TCGA-DD-A1ED-01A 68 years, male, white, stage:Stage I, alive, 2301 days 8.9
TCGA-BC-A10T-01A 76 years, male, white, stage:'--, dead, 837 days 8.9
TCGA-DD-AAEK-01A 51 years, male, asian, stage:Stage II, alive, 1067 days 8.6
TCGA-XR-A8TF-01A 74 years, male, white, stage:Stage I, dead, 693 days 8.5
TCGA-G3-A6UC-01A 65 years, male, white, stage:Stage IIIB, alive, 671 days 8.3
TCGA-G3-A3CJ-01A 52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days 8.3
TCGA-DD-AAD6-01A 66 years, male, asian, stage:Stage IIIA, alive, 672 days 7.7
TCGA-DD-A1EB-01A 72 years, female, stage:Stage I, alive, 2017 days 7.6
TCGA-DD-AACD-01A 48 years, male, asian, stage:Stage I, dead, 381 days 7.4
TCGA-DD-A73D-01A 68 years, female, white, stage:Stage II, alive, 693 days 7.3
TCGA-5R-AA1D-01A 17 years, female, white, stage:Stage IIIA, alive, 449 days 6.6
TCGA-NI-A4U2-01A 71 years, male, white, stage:Stage IIIA, dead, 1791 days 5.7
TCGA-DD-AAE3-01A 50 years, male, asian, stage:Stage I, alive, 566 days 5.3
TCGA-DD-A73C-01A 65 years, female, white, stage:Stage IIIA, alive, 701 days 5.2
TCGA-G3-A5SL-01A 70 years, male, white, stage:Stage II, alive, 621 days 5.2
TCGA-DD-AAE9-01A 69 years, male, asian, stage:Stage I, alive, 722 days 5.1
TCGA-G3-AAV3-01A 58 years, female, white, stage:Stage II, alive, 412 days 5.0
TCGA-MR-A8JO-01A 34 years, male, white, stage:Stage I, alive, 330 days 4.7
TCGA-DD-AAD5-01A 54 years, male, asian, stage:Stage I, alive, 1345 days 4.5
TCGA-CC-A7IK-01A 59 years, male, asian, stage:Stage IIIA, dead, 262 days 3.9
TCGA-DD-A3A2-01A 76 years, female, white, stage:Stage I, dead, 2131 days 3.5
TCGA-DD-A3A6-01A 72 years, female, white, stage:Stage II, dead, 3258 days 3.5
TCGA-G3-AAV1-01A 51 years, male, asian, stage:Stage IIIC, dead, 359 days 3.2
TCGA-DD-AADO-01A 55 years, male, asian, stage:Stage I, alive, 453 days 2.8
TCGA-DD-AAE2-01A 51 years, male, asian, stage:Stage I, alive, 638 days 2.7
TCGA-ED-A459-01A 47 years, male, asian, stage:Stage II, alive, 910 days 2.3
TCGA-CC-A7IG-01A 47 years, male, asian, stage:Stage II, dead, 299 days 1.8
TCGA-G3-A25Z-01A 58 years, male, asian, stage:Stage I, alive, 655 days 1.8
TCGA-DD-AAW3-01A 69 years, male, asian, stage:Stage I, alive, 1633 days 1.5
TCGA-G3-A7M5-01A 76 years, male, asian, stage:Stage I, alive, 447 days 1.1
TCGA-ZP-A9CZ-01A 72 years, male, asian, stage:'--, alive, 706 days 1.1
TCGA-DD-AAW1-01A 55 years, male, asian, stage:Stage IIIA, alive, 1989 days 0.9
TCGA-DD-AAC9-01A 51 years, male, asian, stage:Stage I, alive, 347 days 0.8
TCGA-DD-AADK-01A 68 years, female, asian, stage:Stage II, alive, 1049 days 0.8
TCGA-DD-AAEE-01A 55 years, male, asian, stage:Stage I, alive, 810 days 0.7
TCGA-UB-A7MC-01A 59 years, male, white, stage:Stage IIIA, alive, 500 days 0.6
TCGA-CC-A7IF-01A 59 years, male, asian, stage:Stage IIIA, dead, 649 days 0.6
TCGA-DD-AADJ-01A 70 years, female, asian, stage:Stage I, alive, 1066 days 0.4
TCGA-CC-A7IJ-01A 56 years, male, asian, stage:Stage II, alive, 382 days 0.4
TCGA-CC-5262-01A 67 years, male, asian, stage:Stage IIIC, dead, 103 days 0.2
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LIVER HEPATOCELLULAR CARCINOMA (VALIDATION) - Interactive survival scatter ploti

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

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

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

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

& Survival analysisi

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

RASSF7 is not prognostic in Liver Hepatocellular Carcinoma (validation)


Stage:
Survival analysis
Current cut offi

Current cut-off shows the cut-off (pTPM) 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 pTPM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (pTPM) was examined. The best expression cut-off refers the pTPM 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.

: 38.39
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
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 54.6
Number of samples 231
Samples
Sample Description pTPM
DO45289 78 years, female, NA, stage:3, alive, 360 days 756.7
DO45305 66 years, male, NA, stage:4, alive, 300 days 358.9
DO45297 61 years, female, NA, stage:4, dead, 1260 days 304.5
DO45185 89 years, male, NA, stage:2, alive, 600 days 271.5
DO45285 59 years, male, NA, stage:3, alive, 480 days 259.4
DO45245 75 years, female, NA, stage:2, dead, 240 days 231.4
DO45249 57 years, male, NA, stage:1, alive, 630 days 216.7
DO45283 60 years, male, NA, stage:3, alive, 510 days 213.4
DO45279 67 years, male, NA, stage:3, alive, 1290 days 177.9
DO45299 70 years, female, NA, stage:1, alive, 1440 days 166.0
DO23526 66 years, male, NA, stage:3, alive, 1050 days 164.0
DO45277 64 years, male, NA, stage:3, alive, 600 days 157.8
DO50855 47 years, male, NA, stage:2, alive, 570 days 149.9
DO45259 65 years, male, NA, stage:3, alive, 330 days 147.9
DO45303 62 years, female, NA, stage:3, alive, 990 days 146.7
DO23532 71 years, female, NA, stage:1, alive, 960 days 143.3
DO45189 85 years, female, NA, stage:2, alive, 1200 days 138.7
DO50839 47 years, female, NA, stage:3, alive, 330 days 130.1
DO45301 56 years, male, NA, stage:2, dead, 1440 days 127.7
DO45217 69 years, female, NA, stage:3, dead, 270 days 126.7
DO45205 67 years, female, NA, stage:2, dead, 90 days 120.6
DO45107 63 years, female, NA, stage:2, alive, 1710 days 118.1
DO45251 57 years, female, NA, stage:2, alive, 900 days 107.3
DO23511 83 years, female, NA, stage:3, dead, 180 days 98.7
DO45241 49 years, male, NA, stage:1, alive, 1080 days 97.5
DO23540 73 years, male, NA, stage:1, alive, 750 days 95.0
DO45211 76 years, male, NA, stage:3, alive, 240 days 93.9
DO45209 70 years, male, NA, stage:4, alive, 1350 days 93.8
DO23512 60 years, male, NA, stage:1, alive, 1260 days 92.1
DO45307 54 years, female, NA, stage:4, dead, 240 days 90.9
DO23519 65 years, male, NA, stage:3, alive, 630 days 89.9
DO48732 73 years, male, NA, stage:3, alive, 630 days 89.5
DO45287 74 years, male, NA, stage:1, alive, 390 days 88.2
DO23515 71 years, male, NA, stage:2, alive, 1230 days 87.0
DO23510 80 years, female, NA, stage:2, alive, 870 days 86.4
DO45243 74 years, female, NA, stage:3, alive, 930 days 85.6
DO50811 62 years, male, NA, stage:1, alive, 450 days 82.9
DO45092 62 years, male, NA, stage:4, dead, 1200 days 80.3
DO45273 62 years, male, NA, stage:2, alive, 480 days 80.0
DO45101 63 years, male, NA, stage:2, alive, 1680 days 75.9
DO48747 62 years, male, NA, stage:3, alive, 540 days 75.0
DO45167 67 years, male, NA, stage:2, dead, 1440 days 70.2
DO48701 78 years, male, NA, stage:2, alive, 780 days 68.5
DO48697 64 years, female, NA, stage:2, dead, 810 days 66.7
DO45219 78 years, male, NA, stage:2, alive, 1080 days 65.9
DO45125 58 years, male, NA, stage:3, alive, 1680 days 65.6
DO45183 72 years, female, NA, stage:2, dead, 570 days 65.2
DO45231 84 years, male, NA, stage:2, alive, 930 days 64.9
DO50793 76 years, male, NA, stage:4, alive, 540 days 63.4
DO45149 70 years, female, NA, stage:2, alive, 1260 days 63.3
DO45275 65 years, male, NA, stage:3, dead, 10 days 62.0
DO48736 76 years, female, NA, stage:1, alive, 600 days 61.1
DO50850 74 years, male, NA, stage:3, alive, 720 days 60.9
DO50806 70 years, male, NA, stage:4, alive, 540 days 60.5
DO48717 54 years, male, NA, stage:4, dead, 180 days 58.8
DO45113 58 years, male, NA, stage:3, alive, 1560 days 56.5
DO45215 65 years, male, NA, stage:2, alive, 1170 days 56.1
DO48737 52 years, male, NA, stage:1, alive, 720 days 56.0
DO50829 78 years, male, NA, stage:3, alive, 570 days 55.2
DO45115 81 years, male, NA, stage:2, alive, 840 days 54.3
DO227643 79 years, male, NA, stage:2, alive, 1260 days 53.9
DO48723 73 years, male, NA, stage:1, alive, 600 days 53.8
DO45137 38 years, male, NA, stage:1, alive, 1320 days 52.6
DO23525 71 years, male, NA, stage:4, alive, 1050 days 52.4
DO45207 68 years, male, NA, stage:1, alive, 1050 days 52.4
DO50804 81 years, male, NA, stage:2, alive, 720 days 52.1
DO45239 42 years, male, NA, stage:2, alive, 870 days 52.0
DO45131 53 years, male, NA, stage:4, dead, 360 days 50.6
DO45095 66 years, male, NA, stage:2, alive, 1620 days 49.8
DO45145 78 years, male, NA, stage:3, dead, 60 days 49.4
DO23546 63 years, male, NA, stage:2, alive, 1050 days 49.3
DO45203 71 years, female, NA, stage:2, alive, 1170 days 48.9
DO50844 75 years, male, NA, stage:4, alive, 300 days 47.9
DO48700 78 years, female, NA, stage:2, alive, 810 days 47.6
DO45103 47 years, male, NA, stage:3, alive, 450 days 47.6
DO45139 63 years, male, NA, stage:3, alive, 1320 days 46.9
DO50840 49 years, male, NA, stage:2, alive, 330 days 46.6
DO23544 67 years, male, NA, stage:2, alive, 960 days 46.5
DO50820 77 years, female, NA, stage:3, alive, 510 days 46.5
DO45105 61 years, male, NA, stage:1, alive, 1680 days 46.2
DO45213 58 years, male, NA, stage:1, alive, 1200 days 45.8
DO45161 74 years, male, NA, stage:2, dead, 540 days 45.3
DO45165 75 years, male, NA, stage:2, alive, 690 days 45.0
DO45263 67 years, male, NA, stage:3, dead, 270 days 44.8
DO45179 78 years, female, NA, stage:2, alive, 600 days 44.7
DO50776 75 years, male, NA, stage:1, alive, 690 days 43.9
DO45191 61 years, female, NA, stage:2, alive, 1200 days 43.9
DO48730 73 years, female, NA, stage:2, alive, 630 days 43.0
DO48716 71 years, male, NA, stage:2, alive, 720 days 42.7
DO48733 72 years, male, NA, stage:2, alive, 600 days 42.2
DO45173 63 years, male, NA, stage:3, alive, 1170 days 42.0
DO45253 50 years, male, NA, stage:2, alive, 870 days 41.1
DO48682 72 years, female, NA, stage:3, dead, 120 days 40.9
DO50802 49 years, male, NA, stage:2, alive, 930 days 40.2
DO23516 69 years, male, NA, stage:3, dead, 20 days 40.2
DO45221 75 years, female, NA, stage:4, dead, 390 days 40.2
DO48725 66 years, male, NA, stage:1, alive, 780 days 39.6
DO23535 67 years, male, NA, stage:1, alive, 960 days 39.6
DO45159 65 years, male, NA, stage:3, alive, 1470 days 39.5
DO45096 69 years, male, NA, stage:2, dead, 1290 days 39.1
DO45229 74 years, male, NA, stage:1, alive, 990 days 39.1
DO45269 59 years, male, NA, stage:3, alive, 750 days 39.0
DO50785 37 years, male, NA, stage:4, dead, 90 days 38.9
DO23528 45 years, female, NA, stage:2, alive, 1020 days 38.9
DO50798 77 years, male, NA, stage:3, dead, 30 days 38.8
DO45267 73 years, male, NA, stage:3, dead, 570 days 38.5
DO23508 79 years, female, NA, stage:2, alive, 390 days 38.3
DO23513 76 years, male, NA, stage:3, alive, 1200 days 37.8
DO50808 68 years, male, NA, stage:2, alive, 570 days 37.2
DO45281 83 years, male, NA, stage:4, alive, 750 days 37.0
DO50799 66 years, female, NA, stage:2, alive, 540 days 36.9
DO50805 72 years, male, NA, stage:2, alive, 690 days 36.7
DO45109 63 years, male, NA, stage:2, alive, 1590 days 36.6
DO23527 72 years, male, NA, stage:1, alive, 1050 days 36.2
DO50778 60 years, male, NA, stage:4, alive, 630 days 36.2
DO50791 79 years, female, NA, stage:1, dead, 480 days 35.9
DO50814 83 years, male, NA, stage:3, alive, 420 days 35.8
DO45094 76 years, male, NA, stage:3, alive, 1650 days 35.7
DO45255 81 years, male, NA, stage:3, alive, 720 days 35.7
DO45143 69 years, male, NA, stage:3, alive, 1290 days 35.6
DO45225 69 years, male, NA, stage:1, alive, 1050 days 35.3
DO50813 56 years, male, NA, stage:2, alive, 420 days 35.1
DO50845 72 years, male, NA, stage:3, alive, 210 days 35.1
DO45181 84 years, female, NA, stage:2, alive, 1200 days 35.0
DO50809 56 years, male, NA, stage:3, dead, 720 days 34.1
DO45141 73 years, male, NA, stage:2, alive, 1320 days 34.1
DO45201 49 years, male, NA, stage:1, alive, 900 days 33.8
DO50818 65 years, male, NA, stage:2, alive, 510 days 33.8
DO48693 71 years, male, NA, stage:2, alive, 900 days 33.8
DO48743 69 years, female, NA, stage:2, alive, 570 days 33.3
DO45169 74 years, male, NA, stage:3, alive, 1350 days 33.2
DO50807 67 years, male, NA, stage:1, alive, 540 days 32.9
DO45123 78 years, female, NA, stage:2, dead, 570 days 32.5
DO48712 50 years, male, NA, stage:2, alive, 810 days 32.4
DO23548 78 years, female, NA, stage:1, alive, 840 days 32.2
DO50819 72 years, female, NA, stage:2, alive, 510 days 31.9
DO48715 58 years, female, NA, stage:2, dead, 690 days 31.3
DO45153 77 years, female, NA, stage:2, alive, 1380 days 31.3
DO45235 68 years, female, NA, stage:1, alive, 900 days 31.0
DO50832 73 years, male, NA, stage:3, alive, 90 days 30.7
DO45265 73 years, male, NA, stage:3, alive, 1020 days 30.5
DO45157 62 years, male, NA, stage:2, alive, 1980 days 30.1
DO48760 70 years, female, NA, stage:2, alive, 690 days 29.9
DO23524 71 years, female, NA, stage:2, alive, 1050 days 29.7
DO23534 60 years, male, NA, stage:2, alive, 840 days 29.6
DO50815 62 years, male, NA, stage:3, alive, 150 days 29.4
DO45093 71 years, male, NA, stage:2, dead, 720 days 29.1
DO45119 74 years, male, NA, stage:3, dead, 510 days 28.8
DO50783 62 years, male, NA, stage:3, alive, 480 days 28.8
DO48728 74 years, female, NA, stage:2, alive, 150 days 28.6
DO45097 69 years, male, NA, stage:3, alive, 1620 days 28.5
DO23517 62 years, male, NA, stage:2, alive, 1200 days 28.5
DO45195 62 years, male, NA, stage:1, alive, 390 days 28.2
DO45197 51 years, male, NA, stage:2, alive, 1170 days 28.1
DO23533 61 years, male, NA, stage:2, alive, 900 days 27.5
DO48674 80 years, male, NA, stage:2, alive, 1260 days 27.2
DO45247 31 years, female, NA, stage:2, alive, 210 days 27.0
DO23552 80 years, female, NA, stage:1, alive, 810 days 26.9
DO23518 67 years, male, NA, stage:2, alive, 1320 days 26.9
DO45121 61 years, male, NA, stage:3, alive, 1530 days 26.7
DO50822 66 years, male, NA, stage:2, alive, 510 days 26.7
DO45099 46 years, male, NA, stage:3, alive, 1590 days 26.7
DO48720 62 years, female, NA, stage:2, alive, 570 days 26.6
DO50816 63 years, male, NA, stage:2, alive, 390 days 26.4
DO45187 32 years, female, NA, stage:1, alive, 1260 days 26.2
DO23536 56 years, male, NA, stage:2, alive, 930 days 25.9
DO227801 77 years, female, NA, stage:1, alive, 660 days 25.9
DO45257 46 years, male, NA, stage:3, alive, 810 days 25.6
DO48704 68 years, female, NA, stage:3, alive, 750 days 25.5
DO48677 58 years, male, NA, stage:3, alive, 1140 days 25.5
DO48679 72 years, male, NA, stage:2, alive, 1200 days 25.0
DO45227 57 years, female, NA, stage:2, alive, 1020 days 24.7
DO48751 68 years, male, NA, stage:2, dead, 480 days 24.0
DO23550 69 years, male, NA, stage:1, alive, 990 days 24.0
DO48761 55 years, male, NA, stage:2, alive, 870 days 23.9
DO48741 64 years, male, NA, stage:3, alive, 240 days 23.9
DO48742 76 years, male, NA, stage:2, alive, 600 days 23.7
DO50817 75 years, male, NA, stage:2, alive, 390 days 23.3
DO48746 76 years, male, NA, stage:3, alive, 570 days 23.1
DO48706 72 years, male, NA, stage:2, alive, 870 days 22.9
DO45177 81 years, female, NA, stage:3, alive, 1260 days 22.8
DO45199 86 years, female, NA, stage:2, alive, 1350 days 22.4
DO48759 73 years, male, NA, stage:3, alive, 720 days 22.4
DO50789 73 years, female, NA, stage:2, alive, 570 days 22.1
DO45163 76 years, male, NA, stage:2, alive, 960 days 21.7
DO23531 78 years, female, NA, stage:3, alive, 900 days 21.4
DO45223 67 years, male, NA, stage:4, alive, 1020 days 21.3
DO50774 68 years, female, NA, stage:2, alive, 720 days 21.1
DO23537 79 years, male, NA, stage:2, dead, 900 days 21.0
DO50803 62 years, female, NA, stage:1, alive, 540 days 20.8
DO48757 68 years, female, NA, stage:3, alive, 480 days 20.4
DO23551 73 years, male, NA, stage:3, dead, 150 days 19.9
DO50800 74 years, male, NA, stage:2, alive, 510 days 19.7
DO23543 63 years, male, NA, stage:2, alive, 1020 days 19.7
DO23538 67 years, male, NA, stage:2, alive, 450 days 19.7
DO45155 69 years, male, NA, stage:2, alive, 2160 days 19.7
DO45127 73 years, male, NA, stage:3, dead, 420 days 19.4
DO45135 77 years, male, NA, stage:1, alive, 1410 days 19.3
DO45233 83 years, male, NA, stage:3, alive, 900 days 19.2
DO23521 63 years, male, NA, stage:3, alive, 1110 days 19.2
DO23530 53 years, male, NA, stage:4, dead, 180 days 19.1
DO48719 80 years, male, NA, stage:2, alive, 690 days 19.0
DO23539 77 years, male, NA, stage:1, alive, 1110 days 18.9
DO23545 67 years, male, NA, stage:2, dead, 570 days 18.9
DO48695 77 years, male, NA, stage:2, alive, 720 days 18.3
DO23549 74 years, male, NA, stage:3, alive, 990 days 18.1
DO48672 81 years, male, NA, stage:2, alive, 450 days 17.9
DO23547 74 years, male, NA, stage:1, alive, 1020 days 16.1
DO48727 81 years, female, NA, stage:2, dead, 390 days 15.9
DO45111 74 years, male, NA, stage:2, alive, 1590 days 15.3
DO50787 63 years, male, NA, stage:3, alive, 480 days 14.7
DO23541 65 years, male, NA, stage:2, alive, 930 days 14.5
DO23542 66 years, male, NA, stage:3, alive, 960 days 13.8
DO45193 68 years, female, NA, stage:4, dead, 120 days 13.3
DO45171 56 years, male, NA, stage:3, alive, 600 days 13.2
DO45129 61 years, male, NA, stage:3, alive, 1470 days 12.5
DO45261 74 years, male, NA, stage:3, alive, 990 days 12.4
DO45091 56 years, male, NA, stage:2, dead, 1320 days 11.9
DO48721 58 years, female, NA, stage:1, alive, 900 days 11.6
DO23523 52 years, male, NA, stage:3, alive, 1080 days 11.6
DO50825 70 years, male, NA, stage:2, alive, 390 days 11.5
DO23514 64 years, male, NA, stage:2, alive, 1290 days 11.0
DO23529 72 years, male, NA, stage:4, alive, 930 days 10.8
DO45133 64 years, male, NA, stage:3, dead, 660 days 10.7
DO23509 60 years, male, NA, stage:3, dead, 780 days 10.5
DO50857 72 years, male, NA, stage:2, alive, 210 days 10.2
DO45175 74 years, male, NA, stage:2, alive, 1140 days 10.1
DO45117 73 years, female, NA, stage:2, dead, 1110 days 9.1
DO48681 57 years, male, NA, stage:2, alive, 900 days 8.2
DO50859 77 years, male, NA, stage:2, alive, 180 days 7.2
DO45237 58 years, male, NA, stage:2, alive, 900 days 0.6
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LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples 330
Samples
Sample ID Sample type nRPX
564 Non-tumor 1.3
533 Tumor 1.3
563 Tumor 1.2
568 Non-tumor 1.1
558 Non-tumor 1.0
572 Non-tumor 1.0
267 Tumor 0.9
574 Non-tumor 0.9
331 Tumor 0.9
823 Tumor 0.8
817 Tumor 0.8
354 Non-tumor 0.8
222 Non-tumor 0.8
358 Non-tumor 0.7
642 Non-tumor 0.6
545 Tumor 0.6
462 Non-tumor 0.6
983 Tumor 0.6
571 Tumor 0.6
277 Tumor 0.6
482 Non-tumor 0.6
313 Tumor 0.6
196 Non-tumor 0.6
217 Tumor 0.6
221 Tumor 0.6
332 Non-tumor 0.6
186 Non-tumor 0.5
695 Tumor 0.5
627 Tumor 0.5
868 Non-tumor 0.5
472 Non-tumor 0.5
666 Non-tumor 0.5
297 Tumor 0.5
553 Tumor 0.5
1013 Tumor 0.5
618 Non-tumor 0.5
698 Non-tumor 0.5
394 Non-tumor 0.5
926 Non-tumor 0.5
352 Non-tumor 0.5
954 Non-tumor 0.5
427 Tumor 0.5
132 Non-tumor 0.5
527 Tumor 0.5
636 Non-tumor 0.5
285 Tumor 0.5
616 Non-tumor 0.5
937 Tumor 0.5
388 Non-tumor 0.5
628 Non-tumor 0.5
342 Non-tumor 0.5
172 Non-tumor 0.5
396 Non-tumor 0.5
271 Tumor 0.5
314 Non-tumor 0.5
515 Tumor 0.5
375 Tumor 0.4
218 Non-tumor 0.4
648 Non-tumor 0.4
525 Tumor 0.4
944 Non-tumor 0.4
425 Tumor 0.4
257 Tumor 0.4
862 Non-tumor 0.4
278 Non-tumor 0.4
148 Non-tumor 0.4
866 Non-tumor 0.4
487 Tumor 0.4
357 Tumor 0.4
413 Tumor 0.4
138 Non-tumor 0.4
864 Non-tumor 0.4
192 Non-tumor 0.4
368 Non-tumor 0.4
874 Non-tumor 0.4
311 Tumor 0.4
922 Non-tumor 0.4
924 Non-tumor 0.4
162 Non-tumor 0.4
376 Non-tumor 0.4
474 Non-tumor 0.3
445 Tumor 0.3
361 Tumor 0.3
214 Non-tumor 0.3
497 Tumor 0.3
298 Non-tumor 0.3
268 Non-tumor 0.3
984 Non-tumor 0.3
913 Tumor 0.3
956 Non-tumor 0.3
938 Non-tumor 0.3
191 Tumor 0.3
392 Non-tumor 0.3
523 Tumor 0.3
195 Tumor 0.3
976 Non-tumor 0.3
1014 Non-tumor 0.3
662 Non-tumor 0.3
146 Non-tumor 0.3
353 Tumor 0.3
383 Tumor 0.3
147 Tumor 0.3
975 Tumor 0.3
481 Tumor 0.3
478 Non-tumor 0.3
367 Tumor 0.3
664 Non-tumor 0.3
884 Non-tumor 0.3
384 Non-tumor 0.3
443 Tumor 0.3
957 Tumor 0.3
185 Tumor 0.3
188 Non-tumor 0.3
136 Non-tumor 0.2
517 Tumor 0.2
343 Tumor 0.2
344 Non-tumor 0.2
128 Non-tumor 0.2
366 Non-tumor 0.2
1032 Non-tumor 0.2
187 Tumor 0.2
916 Non-tumor 0.2
127 Tumor 0.2
743 Tumor 0.2
1044 Non-tumor 0.2
312 Non-tumor 0.2
341 Tumor 0.2
428 Non-tumor 0.2
161 Tumor 0.2
672 Non-tumor 0.2
258 Non-tumor 0.2
1016 Non-tumor 0.2
493 Tumor 0.2
882 Non-tumor 0.2
327 Tumor 0.2
393 Tumor 0.2
878 Non-tumor 0.2
386 Non-tumor 0.2
126 Non-tumor 0.2
114 Non-tumor 0.2
426 Non-tumor 0.2
1042 Non-tumor 0.1
391 Tumor 0.1
232 Non-tumor 0.1
213 Tumor 0.1
883 Tumor 0.1
881 Tumor 0.1
914 Non-tumor 0.1
573 Tumor 0.1
387 Tumor 0.1
1022 Non-tumor 0.1
528 Non-tumor 0.1
421 Tumor 0.1
351 Tumor 0.1
414 Non-tumor 0.1
448 Non-tumor 0.1
912 Non-tumor 0.1
131 Tumor 0.1
964 Non-tumor 0.1
431 Tumor 0.1
1028 Non-tumor 0.1
483 Tumor 0.1
171 Tumor 0.1
145 Tumor 0.1
328 Non-tumor 0.1
978 Non-tumor 0.1
412 Non-tumor 0.1
416 Non-tumor 0.1
124 Non-tumor 0.1
1046 Non-tumor 0.1
424 Non-tumor 0.1
537 Tumor 0.1
918 Non-tumor 0.1
356 Non-tumor 0.1
488 Non-tumor 0.1
123 Tumor 0.1
755 Tumor 0.1
955 Tumor 0.1
484 Non-tumor 0.1
963 Tumor 0.1
477 Tumor 0.1
617 Tumor 0.0
262 Non-tumor 0.0
135 Tumor 0.0
142 Non-tumor 0.0
137 Tumor 0.0
518 Non-tumor 0.0
286 Non-tumor 0.0
141 Tumor 0.0
1041 Tumor 0.0
1026 Non-tumor 0.0
952 Non-tumor 0.0
1025 Tumor 0.0
422 Non-tumor 0.0
423 Tumor 0.0
647 Tumor 0.0
1027 Tumor 0.0
365 Tumor 0.0
982 Non-tumor 0.0
723 Tumor 0.0
524 Non-tumor 0.0
921 Tumor 0.0
111 Non-tumor 0.0
494 Non-tumor 0.0
737 Tumor 0.0
915 Tumor 0.0
513 Tumor 0.0
786 Non-tumor 0.0
526 Non-tumor 0.0
223 Tumor 0.0
435 Tumor 0.0
958 Non-tumor 0.0
851 Tumor -0.1
113 Tumor -0.1
615 Tumor -0.1
112 Tumor -0.1
272 Non-tumor -0.1
635 Tumor -0.1
516 Non-tumor -0.1
538 Non-tumor -0.1
925 Tumor -0.1
816 Non-tumor -0.1
877 Tumor -0.1
557 Tumor -0.1
231 Tumor -0.1
228 Non-tumor -0.1
715 Tumor -0.1
364 Non-tumor -0.1
1021 Tumor -0.1
362 Non-tumor -0.1
785 Tumor -0.1
967 Tumor -0.1
777 Tumor -0.1
395 Tumor -0.1
1015 Tumor -0.1
977 Tumor -0.1
722 Non-tumor -0.2
671 Tumor -0.2
815 Tumor -0.2
756 Non-tumor -0.2
284 Non-tumor -0.2
446 Non-tumor -0.2
534 Non-tumor -0.2
211 Tumor -0.2
641 Tumor -0.2
716 Non-tumor -0.2
911 Tumor -0.2
212 Non-tumor -0.2
665 Tumor -0.2
385 Tumor -0.2
567 Tumor -0.2
686 Non-tumor -0.2
1043 Tumor -0.2
713 Tumor -0.2
498 Non-tumor -0.2
432 Non-tumor -0.2
224 Non-tumor -0.2
685 Tumor -0.2
923 Tumor -0.2
492 Non-tumor -0.2
966 Non-tumor -0.2
728 Non-tumor -0.2
514 Non-tumor -0.2
951 Tumor -0.3
968 Non-tumor -0.3
696 Non-tumor -0.3
436 Non-tumor -0.3
873 Tumor -0.3
727 Tumor -0.3
778 Non-tumor -0.3
714 Non-tumor -0.3
744 Non-tumor -0.3
813 Tumor -0.3
1031 Tumor -0.3
415 Tumor -0.3
411 Tumor -0.3
943 Tumor -0.3
742 Non-tumor -0.3
746 Non-tumor -0.3
433 Tumor -0.3
125 Tumor -0.3
917 Tumor -0.3
447 Tumor -0.3
444 Non-tumor -0.3
461 Tumor -0.3
981 Tumor -0.3
814 Non-tumor -0.3
865 Tumor -0.4
721 Tumor -0.4
867 Tumor -0.4
965 Tumor -0.4
554 Non-tumor -0.4
546 Non-tumor -0.4
863 Tumor -0.4
663 Tumor -0.4
227 Tumor -0.4
434 Non-tumor -0.4
261 Tumor -0.4
953 Tumor -0.4
745 Tumor -0.4
724 Non-tumor -0.4
491 Tumor -0.4
857 Tumor -0.4
852 Non-tumor -0.5
535 Tumor -0.5
536 Non-tumor -0.5
1045 Tumor -0.5
363 Tumor -0.5
355 Tumor -0.5
824 Non-tumor -0.5
741 Tumor -0.6
471 Tumor -0.6
473 Tumor -0.6
283 Tumor -0.6
697 Tumor -0.6
738 Non-tumor -0.6
818 Non-tumor -0.7
858 Non-tumor -0.7
661 Tumor -0.7
861 Tumor -1.0
451 Tumor N/A
452 Non-tumor N/A
455 Tumor N/A
456 Non-tumor N/A
463 Tumor N/A
464 Non-tumor N/A
465 Tumor N/A
466 Non-tumor N/A
467 Tumor N/A
468 Non-tumor N/A
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LIVER CANCER - Cancer proteome, tumor vs adjacent non-tumor (ProteinTalks DB, HCC)
Number of samples 76 (38 tumor / adjacent non-tumor pairs)
Detected in 35/38 tumors, 25/38 non-tumors
Tumor vs non-tumor Up in tumor (log2FC 0.6, adj. p-value 2.27e-3)
Samples
Patient ID Tumor Non-tumor
HCC_22 10.7 8.6
HCC_13 10.3 8.0
HCC_02 10.2 8.5
HCC_16 10.1 7.8
HCC_09 10.0 8.8
HCC_29 10.0 9.5
HCC_10 9.9 8.1
HCC_38 9.7 9.3
HCC_19 9.7 8.9
HCC_25 9.6 8.8
HCC_06 9.6 8.7
HCC_34 9.4 N/A
HCC_05 9.4 N/A
HCC_26 9.4 8.5
HCC_17 9.3 N/A
HCC_33 9.3 N/A
HCC_03 9.2 8.2
HCC_14 9.1 N/A
HCC_36 8.9 8.6
HCC_35 8.9 9.2
HCC_32 8.8 8.6
HCC_37 8.8 N/A
HCC_12 8.7 8.3
HCC_15 8.6 8.2
HCC_30 8.6 8.2
HCC_11 8.5 8.4
HCC_24 8.4 N/A
HCC_31 8.3 8.4
HCC_04 8.3 8.7
HCC_18 8.2 9.1
HCC_28 8.2 N/A
HCC_23 8.1 8.4
HCC_27 7.9 8.5
HCC_01 7.7 N/A
HCC_07 7.1 N/A
HCC_08 N/A N/A
HCC_20 N/A N/A
HCC_21 N/A N/A
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LIVER CANCER - Protein stainingi

A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here. Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.

Pending cancer tissue analysis

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