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MASP2
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  • MASP2
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.

MASP2 is validated prognostic, high expression is favorable 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.

: 86.26
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 239.7
Number of samples 362
Samples
Sample Description pTPM
TCGA-DD-AAE9-01A 69 years, male, asian, stage:Stage I, alive, 722 days 1236.6
TCGA-DD-AAVP-01A 48 years, male, asian, stage:Stage I, alive, 2752 days 1026.3
TCGA-K7-A6G5-01A 66 years, male, white, stage:Stage I, alive, 512 days 975.5
TCGA-DD-AAEG-01A 59 years, female, asian, stage:Stage I, alive, 719 days 934.9
TCGA-FV-A495-01A 51 years, female, white, stage:Stage II, alive, 1 days 870.3
TCGA-DD-A39V-01A 77 years, male, white, stage:Stage II, dead, 643 days 826.9
TCGA-ES-A2HT-01A 54 years, male, black or african american, stage:Stage I, dead, 438 days 819.9
TCGA-4R-AA8I-01A 66 years, male, white, stage:Stage II, dead, 262 days 800.2
TCGA-DD-A3A3-01A 45 years, male, asian, stage:Stage I, dead, 535 days 789.0
TCGA-G3-AAV2-01A 50 years, male, white, stage:Stage I, alive, 372 days 765.2
TCGA-DD-AACT-01A 69 years, female, asian, stage:Stage I, alive, 1562 days 750.7
TCGA-DD-AAVV-01A 56 years, male, asian, stage:Stage II, alive, 2455 days 735.6
TCGA-WX-AA47-01A 33 years, female, white, stage:Stage IIIA, dead, 556 days 663.9
TCGA-2Y-A9H1-01A 58 years, male, white, stage:Stage I, dead, 1229 days 649.0
TCGA-DD-AAVR-01A 44 years, male, asian, stage:Stage I, alive, 2513 days 645.5
TCGA-ZS-A9CD-01A 73 years, male, white, stage:Stage II, dead, 1386 days 636.8
TCGA-DD-AACU-01A 59 years, male, asian, stage:Stage I, alive, 1567 days 625.9
TCGA-MI-A75E-01A 61 years, male, white, stage:Stage IIIC, alive, 507 days 611.4
TCGA-BC-A69I-01A 69 years, male, white, stage:Stage I, alive, 387 days 607.3
TCGA-DD-A3A5-01A 66 years, female, white, stage:Stage III, dead, 3125 days 598.8
TCGA-2Y-A9HB-01A 66 years, male, stage:Stage I, alive, 260 days 593.8
TCGA-MI-A75G-01A 63 years, male, white, stage:Stage II, alive, 698 days 580.9
TCGA-G3-AAV0-01A 58 years, male, asian, stage:Stage I, alive, 476 days 563.6
TCGA-DD-A4NB-01A 25 years, male, white, stage:Stage I, alive, 989 days 557.7
TCGA-DD-AADQ-01A 59 years, male, asian, stage:Stage II, alive, 436 days 552.0
TCGA-G3-A3CJ-01A 52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days 538.7
TCGA-ED-A7XP-01A 53 years, female, asian, stage:Stage II, alive, 400 days 527.0
TCGA-CC-A7IL-01A 61 years, male, asian, stage:Stage IIIA, dead, 278 days 526.6
TCGA-G3-A7M7-01A 65 years, male, white, stage:Stage I, alive, 361 days 526.6
TCGA-KR-A7K0-01A 65 years, male, white, stage:Stage I, dead, 65 days 497.9
TCGA-EP-A12J-01A 62 years, male, black or african american, stage:Stage I, alive, 570 days 493.3
TCGA-FV-A3R2-01A 75 years, male, white, stage:Stage I, dead, 194 days 491.4
TCGA-DD-AAVU-01A 46 years, male, asian, stage:Stage II, alive, 2202 days 479.8
TCGA-DD-A73C-01A 65 years, female, white, stage:Stage IIIA, alive, 701 days 476.2
TCGA-MI-A75C-01A 64 years, male, white, stage:Stage I, alive, 291 days 473.4
TCGA-DD-A1EG-01A 76 years, male, white, stage:Stage I, dead, 1372 days 466.3
TCGA-KR-A7K2-01A 64 years, male, white, stage:Stage I, alive, 829 days 464.1
TCGA-G3-A6UC-01A 65 years, male, white, stage:Stage IIIB, alive, 671 days 462.4
TCGA-2Y-A9GT-01A 51 years, male, white, stage:Stage I, dead, 1624 days 462.3
TCGA-DD-AACI-01A 69 years, male, asian, stage:Stage II, alive, 1618 days 461.4
TCGA-KR-A7K7-01A 61 years, female, white, stage:Stage II, alive, 951 days 460.2
TCGA-2Y-A9H3-01A 45 years, male, white, stage:Stage II, alive, 1516 days 456.6
TCGA-ZP-A9CV-01A 59 years, male, white, stage:'--, dead, 1088 days 454.8
TCGA-DD-AAW1-01A 55 years, male, asian, stage:Stage IIIA, alive, 1989 days 454.8
TCGA-G3-A5SM-01A 58 years, male, white, stage:Stage II, alive, 520 days 453.1
TCGA-HP-A5N0-01A 90 years, female, stage:'--, dead, 752 days 447.9
TCGA-DD-A3A8-01A 75 years, male, white, stage:Stage II, dead, 11 days 446.1
TCGA-HP-A5MZ-01A 78 years, male, stage:Stage I, dead, 91 days 428.8
TCGA-ED-A7XO-01A 29 years, male, asian, stage:Stage IIIA, alive, 427 days 428.5
TCGA-NI-A8LF-01A 74 years, male, white, stage:Stage I, alive, 799 days 427.7
TCGA-DD-A119-01A 40 years, male, asian, stage:Stage IV, dead, 223 days 426.1
TCGA-DD-AADG-01A 70 years, male, asian, stage:Stage IIIA, alive, 1145 days 423.6
TCGA-G3-A7M5-01A 76 years, male, asian, stage:Stage I, alive, 447 days 418.5
TCGA-ED-A459-01A 47 years, male, asian, stage:Stage II, alive, 910 days 413.9
TCGA-G3-A3CG-01A 80 years, male, white, stage:Stage I, alive, 673 days 413.4
TCGA-2Y-A9GU-01A 55 years, female, white, stage:Stage I, alive, 1939 days 410.9
TCGA-DD-AACF-01A 68 years, male, asian, stage:Stage I, dead, 365 days 405.8
TCGA-DD-AADD-01A 51 years, male, asian, stage:Stage I, alive, 1231 days 402.8
TCGA-CC-A7IH-01A 58 years, male, asian, stage:Stage IIIA, alive, 365 days 401.1
TCGA-FV-A3I1-01A 81 years, female, white, stage:Stage II, dead, 247 days 399.9
TCGA-DD-AAEH-01A 73 years, male, asian, stage:Stage I, alive, 784 days 399.0
TCGA-DD-AAW3-01A 69 years, male, asian, stage:Stage I, alive, 1633 days 394.4
TCGA-DD-A3A4-01A 37 years, male, white, stage:Stage IIIA, dead, 612 days 388.9
TCGA-BC-A10U-01A 69 years, male, white, stage:'--, dead, 837 days 386.0
TCGA-DD-AAD2-01A 66 years, male, asian, stage:Stage I, alive, 658 days 384.9
TCGA-DD-AAC9-01A 51 years, male, asian, stage:Stage I, alive, 347 days 382.8
TCGA-UB-A7MD-01A 67 years, male, black or african american, stage:Stage I, dead, 52 days 380.9
TCGA-LG-A6GG-01A 79 years, female, white, stage:Stage II, alive, 387 days 379.5
TCGA-DD-AAD3-01A 43 years, male, asian, stage:Stage I, alive, 1295 days 377.8
TCGA-CC-A7IK-01A 59 years, male, asian, stage:Stage IIIA, dead, 262 days 374.3
TCGA-5R-AA1C-01A 57 years, male, white, stage:Stage II, alive, 520 days 372.3
TCGA-DD-A4NV-01A 61 years, male, white, stage:Stage IIIA, alive, 2398 days 364.8
TCGA-CC-A3MC-01A 54 years, male, asian, stage:Stage IIIA, alive, 363 days 358.8
TCGA-G3-A25Z-01A 58 years, male, asian, stage:Stage I, alive, 655 days 356.8
TCGA-ZS-A9CG-01A 55 years, male, white, stage:Stage II, alive, 341 days 352.1
TCGA-DD-A1EA-01A 68 years, male, asian, stage:Stage II, alive, 2415 days 351.3
TCGA-G3-AAV5-01A 67 years, male, white, stage:Stage II, alive, 354 days 351.0
TCGA-ZS-A9CF-01A 64 years, male, white, stage:Stage II, alive, 2412 days 346.8
TCGA-DD-AACD-01A 48 years, male, asian, stage:Stage I, dead, 381 days 346.2
TCGA-BD-A2L6-01A 69 years, male, white, stage:'--, alive, 1363 days 344.7
TCGA-FV-A3R3-01A 38 years, female, white, stage:Stage I, dead, 366 days 344.5
TCGA-ZP-A9D0-01A 67 years, female, black or african american, stage:'--, alive, 1091 days 343.2
TCGA-DD-A4NO-01A 65 years, male, white, stage:Stage I, alive, 2245 days 343.1
TCGA-DD-A73G-01A 73 years, female, white, stage:Stage I, alive, 3478 days 341.0
TCGA-DD-AAE2-01A 51 years, male, asian, stage:Stage I, alive, 638 days 340.0
TCGA-DD-AACY-01A 61 years, male, asian, stage:Stage I, alive, 1450 days 338.5
TCGA-G3-A25U-01A 63 years, female, asian, stage:Stage I, alive, 1636 days 338.4
TCGA-ZP-A9D1-01A 56 years, female, white, stage:'--, alive, 21 days 337.0
TCGA-2Y-A9HA-01A 70 years, male, white, stage:Stage II, dead, 36 days 334.5
TCGA-PD-A5DF-01A 58 years, female, white, stage:Stage IIIB, dead, 639 days 331.8
TCGA-RC-A6M5-01A 20 years, female, white, stage:Stage IVA, alive, 15 days 328.8
TCGA-G3-AAUZ-01A 48 years, male, stage:Stage I, alive, 480 days 328.4
TCGA-DD-AAE3-01A 50 years, male, asian, stage:Stage I, alive, 566 days 327.6
TCGA-DD-A39Y-01A 67 years, male, asian, stage:Stage I, dead, 171 days 326.1
TCGA-DD-AADS-01A 63 years, male, asian, stage:Stage I, alive, 474 days 318.8
TCGA-G3-A5SL-01A 70 years, male, white, stage:Stage II, alive, 621 days 318.6
TCGA-ZS-A9CE-01A 79 years, female, white, stage:Stage II, alive, 1241 days 318.1
TCGA-NI-A4U2-01A 71 years, male, white, stage:Stage IIIA, dead, 1791 days 317.8
TCGA-G3-A3CK-01A 61 years, male, asian, stage:Stage I, alive, 585 days 316.5
TCGA-2Y-A9GZ-01A 82 years, female, white, stage:Stage II, dead, 848 days 313.1
TCGA-LG-A9QD-01A 68 years, male, white, stage:Stage IIIA, alive, 366 days 307.6
TCGA-WQ-AB4B-01A 62 years, male, white, stage:Stage II, alive, 395 days 306.2
TCGA-DD-AAEK-01A 51 years, male, asian, stage:Stage II, alive, 1067 days 304.3
TCGA-DD-A39W-01A 29 years, female, white, stage:Stage III, dead, 827 days 302.2
TCGA-CC-A9FW-01A 68 years, male, asian, stage:Stage IIIA, alive, 248 days 301.8
TCGA-RC-A6M4-01A 74 years, female, white, stage:Stage IIIA, alive, 22 days 299.8
TCGA-ZP-A9D4-01A 64 years, female, white, stage:'--, alive, 395 days 299.3
TCGA-DD-A1EL-01A 23 years, male, black or african american, stage:Stage II, dead, 415 days 297.2
TCGA-DD-A39Z-01A 43 years, female, stage:Stage II, dead, 601 days 296.5
TCGA-WX-AA46-01A 61 years, male, white, stage:Stage II, alive, 756 days 296.1
TCGA-DD-AAVY-01A 56 years, male, asian, stage:Stage IIIA, alive, 1970 days 294.5
TCGA-DD-AAEB-01A 60 years, male, asian, stage:Stage I, alive, 478 days 291.7
TCGA-ED-A627-01A 74 years, male, white, stage:Stage I, alive, 423 days 289.7
TCGA-DD-A73F-01A 77 years, female, white, stage:Stage I, alive, 1085 days 289.6
TCGA-DD-A4NK-01A 80 years, female, white, stage:Stage IIIA, dead, 1210 days 289.6
TCGA-DD-AADL-01A 58 years, male, asian, stage:Stage I, alive, 636 days 289.5
TCGA-DD-AAW2-01A 69 years, male, asian, stage:Stage I, alive, 1855 days 287.7
TCGA-EP-A3RK-01A 73 years, male, white, stage:Stage IIIA, alive, 363 days 287.3
TCGA-ZP-A9CY-01A 66 years, female, white, stage:'--, alive, 782 days 287.0
TCGA-K7-A5RF-01A 64 years, male, white, stage:Stage I, alive, 631 days 285.4
TCGA-G3-A25S-01A 64 years, male, white, stage:Stage I, dead, 416 days 285.2
TCGA-DD-A118-01A 77 years, female, white, stage:Stage II, alive, 3437 days 285.0
TCGA-G3-A25V-01A 68 years, male, white, stage:Stage I, alive, 860 days 284.4
TCGA-DD-AACX-01A 66 years, male, asian, stage:Stage II, alive, 170 days 283.8
TCGA-GJ-A6C0-01A 75 years, female, white, stage:Stage II, dead, 31 days 283.6
TCGA-DD-A1ED-01A 68 years, male, white, stage:Stage I, alive, 2301 days 281.5
TCGA-DD-A1EB-01A 72 years, female, stage:Stage I, alive, 2017 days 279.2
TCGA-DD-A39X-01A 78 years, female, white, stage:Stage I, dead, 1694 days 277.9
TCGA-DD-AACE-01A 62 years, male, asian, stage:Stage I, alive, 2184 days 277.1
TCGA-CC-A7IF-01A 59 years, male, asian, stage:Stage IIIA, dead, 649 days 275.8
TCGA-DD-AAE6-01A 59 years, female, asian, stage:Stage I, alive, 141 days 274.8
TCGA-BC-A10R-01A 66 years, female, white, stage:'--, dead, 308 days 273.7
TCGA-DD-A4NL-01A 46 years, male, white, stage:Stage I, alive, 1711 days 273.1
TCGA-DD-A4NF-01A 72 years, male, white, stage:Stage I, alive, 942 days 272.8
TCGA-2Y-A9GW-01A 64 years, male, white, stage:Stage I, dead, 1271 days 271.4
TCGA-EP-A26S-01A 70 years, male, white, stage:Stage I, alive, 608 days 266.0
TCGA-BC-A216-01A 62 years, female, white, stage:Stage IIIA, alive, 1351 days 265.8
TCGA-MI-A75I-01A 61 years, male, black or african american, stage:'--, alive, 630 days 262.7
TCGA-EP-A2KC-01A 62 years, male, black or african american, stage:Stage I, dead, 19 days 262.3
TCGA-DD-AAEA-01A 65 years, male, asian, stage:Stage I, alive, 575 days 262.0
TCGA-DD-A3A2-01A 76 years, female, white, stage:Stage I, dead, 2131 days 261.0
TCGA-DD-AADF-01A 64 years, female, asian, stage:Stage I, dead, 115 days 259.8
TCGA-G3-A3CI-01A 71 years, male, white, stage:Stage I, alive, 180 days 259.0
TCGA-T1-A6J8-01A 68 years, male, white, stage:'--, alive, 23 days 258.3
TCGA-ES-A2HS-01A 80 years, male, white, stage:Stage I, dead, 688 days 257.1
TCGA-2Y-A9GV-01A 54 years, female, white, stage:Stage I, dead, 2532 days 256.7
TCGA-DD-A4NP-01A 32 years, male, white, stage:Stage I, alive, 3308 days 254.5
TCGA-ED-A4XI-01A 58 years, male, asian, stage:Stage II, alive, 819 days 254.1
TCGA-DD-A3A1-01A 65 years, male, stage:Stage IIIA, dead, 233 days 252.1
TCGA-DD-AAVZ-01A 38 years, male, asian, stage:Stage I, alive, 1900 days 251.9
TCGA-DD-AAW0-01A 54 years, male, asian, stage:Stage I, alive, 2015 days 251.5
TCGA-DD-AACQ-01A 50 years, male, asian, stage:Stage II, dead, 432 days 250.7
TCGA-5R-AA1D-01A 17 years, female, white, stage:Stage IIIA, alive, 449 days 250.3
TCGA-2Y-A9H9-01A 70 years, male, white, stage:Stage I, alive, 697 days 248.7
TCGA-WX-AA44-01A 64 years, female, white, stage:Stage I, alive, 615 days 248.5
TCGA-FV-A23B-01A 70 years, female, white, stage:Stage II, dead, 1852 days 245.8
TCGA-DD-AAEI-01A 72 years, male, asian, stage:Stage I, alive, 1531 days 245.1
TCGA-DD-A1EK-01A 64 years, female, white, stage:Stage IVB, dead, 558 days 242.3
TCGA-DD-A4NS-01A 61 years, female, white, stage:Stage I, dead, 2456 days 241.5
TCGA-DD-AADM-01A 58 years, male, asian, stage:Stage II, dead, 12 days 241.1
TCGA-G3-A5SK-01A 58 years, male, white, stage:Stage I, alive, 744 days 237.6
TCGA-G3-AAV3-01A 58 years, female, white, stage:Stage II, alive, 412 days 234.5
TCGA-G3-A7M8-01A 31 years, male, asian, stage:Stage I, alive, 430 days 234.1
TCGA-G3-A3CH-01A 53 years, male, asian, stage:Stage IIIA, alive, 780 days 233.9
TCGA-DD-AACV-01A 53 years, male, asian, stage:Stage I, alive, 1531 days 233.8
TCGA-5C-A9VH-01A 70 years, male, white, stage:Stage I, alive, 322 days 231.8
TCGA-DD-AAED-01A 51 years, male, asian, stage:Stage I, alive, 763 days 231.2
TCGA-DD-A4NI-01A 67 years, male, white, stage:Stage II, alive, 816 days 229.8
TCGA-MI-A75H-01A 77 years, male, white, stage:'--, alive, 747 days 229.0
TCGA-DD-A1EE-01A 73 years, male, white, stage:Stage IIIA, dead, 349 days 228.2
TCGA-3K-AAZ8-01A 65 years, male, black or african american, stage:Stage IIIB, alive, 396 days 227.9
TCGA-DD-A11C-01A 69 years, male, white, stage:Stage I, alive, 662 days 226.6
TCGA-DD-AAC8-01A 72 years, male, asian, stage:Stage I, dead, 16 days 225.9
TCGA-2Y-A9GS-01A 58 years, male, white, stage:'--, dead, 724 days 223.9
TCGA-5C-AAPD-01A 61 years, male, asian, stage:Stage II, alive, 20 days 222.5
TCGA-QA-A7B7-01A 48 years, male, black or african american, stage:Stage II, alive, 94 days 221.3
TCGA-BC-A10X-01A 52 years, female, white, stage:Stage IIIA, dead, 770 days 220.2
TCGA-DD-AADY-01A 55 years, female, asian, stage:Stage I, alive, 555 days 220.1
TCGA-RC-A7SK-01A 59 years, male, asian, stage:Stage I, alive, 472 days 219.6
TCGA-EP-A3JL-01A 76 years, male, white, stage:Stage I, alive, 303 days 217.7
TCGA-BW-A5NO-01A 50 years, male, black or african american, stage:Stage IIIA, alive, 20 days 217.6
TCGA-G3-AAV1-01A 51 years, male, asian, stage:Stage IIIC, dead, 359 days 215.8
TCGA-XR-A8TE-01A 16 years, male, white, stage:Stage IIIA, alive, 925 days 213.9
TCGA-ED-A7PY-01A 20 years, female, asian, stage:Stage II, alive, 390 days 213.7
TCGA-BC-A3KF-01A 66 years, female, white, stage:Stage I, alive, 8 days 211.0
TCGA-DD-AACS-01A 39 years, male, asian, stage:Stage I, alive, 1804 days 208.9
TCGA-DD-AADV-01A 50 years, male, asian, stage:Stage I, alive, 574 days 208.6
TCGA-O8-A75V-01A 54 years, male, stage:Stage I, alive, 538 days 207.9
TCGA-5R-AAAM-01A 65 years, female, white, stage:Stage II, dead, 46 days 207.7
TCGA-WJ-A86L-01A 68 years, female, white, stage:Stage I, alive, 345 days 206.5
TCGA-DD-AAD8-01A 73 years, female, asian, stage:Stage I, alive, 1219 days 205.4
TCGA-DD-A4NQ-01A 60 years, male, white, stage:Stage II, dead, 373 days 205.4
TCGA-DD-AADU-01A 60 years, male, asian, stage:Stage II, alive, 554 days 204.6
TCGA-BD-A3EP-01A 75 years, female, black or african american, stage:Stage I, alive, 409 days 203.1
TCGA-DD-A4NR-01A 85 years, female, white, stage:Stage I, dead, 9 days 202.2
TCGA-2Y-A9H4-01A 68 years, male, black or african american, stage:Stage I, alive, 1452 days 201.1
TCGA-BC-A110-01A 51 years, female, black or african american, stage:'--, dead, 2116 days 200.5
TCGA-DD-AAVS-01A 56 years, male, asian, stage:Stage I, alive, 1823 days 192.3
TCGA-2Y-A9GX-01A 68 years, male, white, stage:Stage I, alive, 2442 days 190.4
TCGA-CC-A5UE-01A 48 years, male, asian, stage:Stage IIIB, dead, 272 days 189.5
TCGA-ED-A8O5-01A 59 years, female, asian, stage:Stage IIIA, alive, 406 days 187.2
TCGA-DD-AADK-01A 68 years, female, asian, stage:Stage II, alive, 1049 days 186.6
TCGA-UB-A7MC-01A 59 years, male, white, stage:Stage IIIA, alive, 500 days 186.4
TCGA-DD-A115-01A 53 years, male, white, stage:Stage IIIA, dead, 2542 days 185.5
TCGA-GJ-A9DB-01A 68 years, male, white, stage:Stage I, dead, 67 days 183.2
TCGA-ED-A8O6-01A 50 years, female, asian, stage:Stage IIIA, dead, 56 days 182.2
TCGA-XR-A8TF-01A 74 years, male, white, stage:Stage I, dead, 693 days 179.1
TCGA-RC-A7SB-01A 53 years, male, asian, stage:Stage II, alive, 588 days 178.1
TCGA-DD-A73D-01A 68 years, female, white, stage:Stage II, alive, 693 days 177.7
TCGA-BC-A10Z-01A 62 years, female, white, stage:Stage I, dead, 34 days 177.6
TCGA-5C-A9VG-01A 58 years, male, white, stage:Stage II, alive, 328 days 176.8
TCGA-DD-A4ND-01A 56 years, female, white, stage:Stage I, alive, 2746 days 176.2
TCGA-UB-AA0U-01A 60 years, male, white, stage:Stage II, alive, 327 days 175.8
TCGA-CC-5259-01A 60 years, female, asian, stage:Stage IIIC, alive, 250 days 175.2
TCGA-DD-A4NN-01A 56 years, female, white, stage:Stage I, dead, 899 days 175.0
TCGA-DD-AACZ-01A 63 years, female, asian, stage:Stage I, dead, 171 days 174.8
TCGA-DD-AACB-01A 74 years, female, asian, stage:Stage I, alive, 2324 days 174.0
TCGA-DD-A3A9-01A 64 years, female, white, stage:Stage IVB, dead, 931 days 168.3
TCGA-DD-AACN-01A 32 years, male, asian, stage:Stage I, alive, 1302 days 166.6
TCGA-DD-A113-01A 55 years, female, white, stage:Stage II, alive, 2425 days 166.5
TCGA-RC-A7SF-01A 66 years, male, asian, stage:Stage I, alive, 579 days 165.8
TCGA-DD-A11D-01A 57 years, female, white, stage:Stage I, dead, 1560 days 162.6
TCGA-G3-A5SI-01A 44 years, male, asian, stage:Stage II, dead, 768 days 162.5
TCGA-DD-AADP-01A 45 years, male, asian, stage:Stage I, alive, 458 days 161.1
TCGA-BC-A10S-01A 81 years, male, white, stage:'--, dead, 1423 days 160.2
TCGA-CC-5258-01A 48 years, male, asian, stage:Stage II, dead, 129 days 159.8
TCGA-DD-AAE4-01A 49 years, female, asian, stage:Stage I, alive, 608 days 159.5
TCGA-FV-A2QR-01A 75 years, male, white, stage:Stage I, dead, 581 days 158.6
TCGA-ED-A66X-01A 35 years, male, asian, stage:Stage IIIA, alive, 406 days 157.3
TCGA-FV-A2QQ-01A 80 years, male, white, stage:Stage I, alive, 729 days 157.0
TCGA-CC-A9FS-01A 55 years, male, asian, stage:Stage II, alive, 211 days 156.7
TCGA-DD-AACH-01A 69 years, male, asian, stage:Stage II, dead, 195 days 154.6
TCGA-DD-AAEE-01A 55 years, male, asian, stage:Stage I, alive, 810 days 154.1
TCGA-MR-A8JO-01A 34 years, male, white, stage:Stage I, alive, 330 days 153.7
TCGA-DD-AACG-01A 52 years, male, asian, stage:Stage II, dead, 469 days 149.1
TCGA-DD-AAVX-01A 38 years, male, asian, stage:Stage II, alive, 1718 days 148.5
TCGA-2Y-A9H8-01A 85 years, female, white, stage:'--, dead, 633 days 147.8
TCGA-BC-A10Y-01A 76 years, male, white, stage:'--, dead, 711 days 147.7
TCGA-CC-5262-01A 67 years, male, asian, stage:Stage IIIC, dead, 103 days 147.4
TCGA-DD-A11B-01A 73 years, male, white, stage:Stage I, dead, 14 days 147.0
TCGA-UB-A7ME-01A 51 years, male, asian, stage:Stage I, alive, 486 days 145.4
TCGA-DD-AAD0-01A 73 years, female, asian, stage:Stage I, alive, 137 days 143.0
TCGA-DD-AAE7-01A 72 years, male, asian, stage:Stage I, alive, 644 days 142.4
TCGA-DD-AAD1-01A 51 years, female, asian, stage:Stage I, alive, 564 days 140.7
TCGA-DD-A116-01A 68 years, male, asian, stage:Stage IIIA, dead, 1622 days 140.7
TCGA-DD-AADA-01A 66 years, female, asian, stage:Stage I, alive, 1233 days 140.6
TCGA-RC-A7SH-01A 42 years, male, asian, stage:Stage II, alive, 468 days 139.4
TCGA-2Y-A9H7-01A 81 years, female, white, stage:Stage I, alive, 1168 days 138.9
TCGA-2Y-A9H6-01A 68 years, female, white, stage:Stage I, alive, 357 days 136.8
TCGA-2Y-A9H0-01A 49 years, male, white, stage:Stage IIIA, alive, 3675 days 135.6
TCGA-UB-A7MB-01A 24 years, male, white, stage:Stage II, alive, 601 days 135.5
TCGA-UB-AA0V-01A 69 years, female, white, stage:Stage I, alive, 314 days 135.2
TCGA-UB-A7MF-01A 56 years, male, white, stage:Stage IIIA, dead, 214 days 133.8
TCGA-DD-AACL-01A 66 years, female, asian, stage:Stage I, dead, 107 days 131.8
TCGA-DD-A73A-01A 71 years, male, white, stage:Stage I, alive, 728 days 130.7
TCGA-GJ-A3OU-01A 59 years, male, white, stage:Stage I, alive, 879 days 127.1
TCGA-DD-AACK-01A 70 years, male, asian, stage:Stage I, alive, 9 days 125.5
TCGA-XR-A8TC-01A 43 years, female, white, stage:Stage I, alive, 1339 days 124.8
TCGA-XR-A8TG-01A 58 years, male, white, stage:Stage I, alive, 898 days 121.9
TCGA-DD-A1EF-01A 57 years, female, white, stage:Stage I, dead, 394 days 121.4
TCGA-KR-A7K8-01A 57 years, male, stage:Stage I, alive, 906 days 119.8
TCGA-DD-AACA-01A 65 years, male, asian, stage:Stage I, alive, 2301 days 114.5
TCGA-BC-A217-01A 75 years, female, white, stage:Stage II, dead, 1397 days 113.9
TCGA-EP-A2KB-01A 46 years, female, white, stage:Stage I, dead, 596 days 111.8
TCGA-2Y-A9H5-01A 59 years, female, white, stage:Stage I, dead, 555 days 110.7
TCGA-FV-A4ZQ-01A 52 years, male, white, stage:Stage I, alive, 12 days 107.6
TCGA-DD-AACW-01A 43 years, male, asian, stage:Stage I, alive, 1424 days 105.0
TCGA-DD-A1EI-01A 46 years, male, asian, stage:Stage I, alive, 183 days 103.3
TCGA-DD-AADR-01A 58 years, male, asian, stage:Stage I, alive, 2028 days 103.2
TCGA-DD-AACP-01A 64 years, male, asian, stage:Stage I, alive, 415 days 102.0
TCGA-DD-AAVW-01A 35 years, male, asian, stage:Stage I, alive, 2317 days 100.7
TCGA-DD-A4NJ-01A 54 years, female, white, stage:Stage II, alive, 928 days 99.4
TCGA-XR-A8TD-01A 49 years, female, white, stage:Stage IIIB, alive, 1030 days 99.3
TCGA-CC-A8HU-01A 39 years, female, asian, stage:Stage IIIA, dead, 344 days 97.8
TCGA-ZP-A9CZ-01A 72 years, male, asian, stage:'--, alive, 706 days 95.7
TCGA-DD-AACO-01A 40 years, male, asian, stage:Stage I, alive, 1876 days 86.9
TCGA-RC-A7S9-01A 47 years, female, asian, stage:Stage I, alive, 640 days 86.6
TCGA-BD-A3ER-01A 62 years, male, white, stage:Stage II, alive, 1115 days 86.3
TCGA-CC-A8HS-01A 18 years, male, asian, stage:Stage IIIC, dead, 300 days 84.1
TCGA-MR-A520-01A 58 years, male, white, stage:Stage I, alive, 229 days 82.6
TCGA-DD-AAD6-01A 66 years, male, asian, stage:Stage IIIA, alive, 672 days 80.4
TCGA-DD-A4NG-01A 77 years, male, white, stage:Stage IIIA, dead, 802 days 76.9
TCGA-G3-A7M6-01A 60 years, female, white, stage:Stage I, alive, 632 days 73.3
TCGA-K7-A5RG-01A 66 years, male, black or african american, stage:Stage I, alive, 519 days 73.3
TCGA-CC-A8HT-01A 74 years, male, asian, stage:Stage IIIA, dead, 140 days 72.3
TCGA-ED-A66Y-01A 51 years, female, asian, stage:Stage IIIA, dead, 296 days 70.7
TCGA-FV-A496-01A 84 years, female, white, stage:Stage I, alive, 10 days 68.9
TCGA-CC-A5UC-01A 63 years, male, asian, stage:Stage IIIA, dead, 347 days 66.8
TCGA-ED-A97K-01A 54 years, male, asian, stage:Stage IIIA, alive, 6 days 65.2
TCGA-2Y-A9H2-01A 64 years, female, white, stage:Stage I, alive, 1731 days 58.1
TCGA-DD-AAE1-01A 52 years, male, asian, stage:Stage I, alive, 552 days 56.7
TCGA-ED-A7PZ-01A 61 years, male, asian, stage:Stage II, alive, 6 days 55.2
TCGA-2Y-A9GY-01A 64 years, female, white, stage:Stage II, dead, 757 days 54.7
TCGA-DD-AADI-01A 43 years, female, asian, stage:Stage I, alive, 1085 days 53.8
TCGA-DD-A1EJ-01A 71 years, female, white, stage:Stage IIIC, dead, 1005 days 51.9
TCGA-DD-AACJ-01A 75 years, male, asian, stage:Stage II, alive, 2102 days 50.8
TCGA-RG-A7D4-01A 69 years, male, black or african american, stage:Stage II, alive, 1098 days 50.7
TCGA-DD-AADN-01A 59 years, male, asian, stage:Stage I, alive, 898 days 47.2
TCGA-DD-AADB-01A 51 years, male, asian, stage:Stage I, alive, 1242 days 43.8
TCGA-G3-AAV6-01A 53 years, female, white, stage:Stage IIIA, dead, 65 days 42.2
TCGA-BC-A3KG-01A 68 years, female, white, stage:Stage II, alive, 680 days 39.6
TCGA-DD-A73B-01A 72 years, female, white, stage:Stage I, dead, 283 days 38.6
TCGA-BC-A10T-01A 76 years, male, white, stage:'--, dead, 837 days 37.5
TCGA-CC-A7IE-01A 57 years, male, asian, stage:Stage IIIA, dead, 217 days 37.3
TCGA-G3-A25T-01A 45 years, female, white, stage:Stage IIIA, alive, 1553 days 37.1
TCGA-DD-A73E-01A 66 years, male, white, stage:Stage I, alive, 44 days 35.3
TCGA-DD-AADO-01A 55 years, male, asian, stage:Stage I, alive, 453 days 35.1
TCGA-CC-5261-01A 44 years, male, asian, stage:Stage II, dead, 97 days 33.5
TCGA-DD-AACC-01A 61 years, male, asian, stage:Stage I, dead, 1685 days 33.0
TCGA-CC-A123-01A 24 years, female, asian, stage:Stage IIIA, alive, 219 days 32.0
TCGA-CC-A3MB-01A 36 years, male, asian, stage:Stage IIIA, dead, 315 days 30.0
TCGA-G3-AAV7-01A 38 years, male, asian, stage:Stage II, alive, 361 days 29.4
TCGA-DD-A3A7-01A 67 years, male, stage:Stage IIIB, dead, 419 days 28.1
TCGA-WQ-A9G7-01A 71 years, female, white, stage:'--, alive, 30 days 26.7
TCGA-CC-A3MA-01A 61 years, male, asian, stage:Stage IIIA, dead, 303 days 24.0
TCGA-G3-A25Y-01A 52 years, female, asian, stage:Stage I, dead, 452 days 22.3
TCGA-DD-A4NH-01A 65 years, female, white, stage:Stage IIIB, alive, 917 days 21.3
TCGA-YA-A8S7-01A 68 years, male, white, stage:Stage IIIA, dead, 412 days 19.8
TCGA-BC-A69H-01A 64 years, male, white, stage:Stage II, alive, 444 days 19.3
TCGA-K7-AAU7-01A 61 years, male, white, stage:Stage II, alive, 359 days 18.5
TCGA-CC-A7IG-01A 47 years, male, asian, stage:Stage II, dead, 299 days 16.7
TCGA-DD-AADJ-01A 70 years, female, asian, stage:Stage I, alive, 1066 days 13.8
TCGA-DD-A114-01A 42 years, male, black or african american, stage:Stage II, dead, 1149 days 12.6
TCGA-DD-AADW-01A 48 years, male, asian, stage:Stage I, alive, 587 days 11.9
TCGA-CC-5264-01A 71 years, male, asian, stage:Stage IIIA, dead, 102 days 11.2
TCGA-DD-AAE0-01A 45 years, female, asian, stage:Stage IIIA, alive, 555 days 10.3
TCGA-RC-A6M6-01A 75 years, male, white, stage:Stage II, alive, 9 days 10.2
TCGA-ED-A5KG-01A 60 years, female, asian, stage:Stage II, alive, 854 days 8.2
TCGA-G3-A25X-01A 73 years, male, asian, stage:Stage II, alive, 1779 days 7.3
TCGA-BC-A10W-01A 50 years, male, asian, stage:'--, dead, 91 days 6.9
TCGA-DD-AAVQ-01A 38 years, male, asian, stage:Stage I, alive, 2728 days 6.7
TCGA-DD-A4NE-01A 75 years, female, white, stage:Stage IIIA, dead, 660 days 6.6
TCGA-DD-AA3A-01A 81 years, female, white, stage:Stage I, dead, 410 days 6.5
TCGA-EP-A2KA-01A 52 years, female, white, stage:Stage IIIA, dead, 627 days 6.3
TCGA-DD-AADC-01A 53 years, male, asian, stage:Stage I, dead, 425 days 5.5
TCGA-ZP-A9D2-01A 51 years, male, white, stage:'--, dead, 765 days 5.3
TCGA-BC-A5W4-01A 69 years, male, white, stage:Stage IIIA, dead, 547 days 4.6
TCGA-DD-A1EH-01A 23 years, male, white, stage:Stage III, alive, 1495 days 4.5
TCGA-G3-A5SJ-01A 59 years, male, white, stage:Stage I, alive, 698 days 4.4
TCGA-LG-A9QC-01A 48 years, male, white, stage:Stage I, alive, 425 days 3.7
TCGA-G3-A7M9-01A 70 years, male, white, stage:Stage IIIB, dead, 56 days 3.3
TCGA-BC-A8YO-01A 66 years, female, white, stage:Stage IIIC, alive, 562 days 2.7
TCGA-CC-A8HV-01A 51 years, female, asian, stage:Stage II, dead, 279 days 2.1
TCGA-FV-A4ZP-01A 78 years, male, white, stage:Stage IIIA, dead, 2486 days 1.9
TCGA-G3-AAV4-01A 83 years, female, white, stage:Stage I, dead, 27 days 1.5
TCGA-DD-A4NA-01A 67 years, female, white, stage:Stage IIIC, alive, 1008 days 1.3
TCGA-UB-A7MA-01A 62 years, female, white, stage:Stage II, alive, 848 days 1.0
TCGA-DD-AAD5-01A 54 years, male, asian, stage:Stage I, alive, 1345 days 0.7
TCGA-CC-5263-01A 35 years, male, asian, stage:Stage IIIA, dead, 129 days 0.7
TCGA-ED-A82E-01A 60 years, female, asian, stage:Stage IIIA, alive, 408 days 0.6
TCGA-CC-A7IJ-01A 56 years, male, asian, stage:Stage II, alive, 382 days 0.4
TCGA-CC-5260-01A 61 years, female, asian, stage:Stage IIIC, dead, 87 days 0.4
TCGA-DD-A3A6-01A 72 years, female, white, stage:Stage II, dead, 3258 days 0.4
TCGA-DD-A1EC-01A 20 years, female, white, stage:Stage I, alive, 602 days 0.3
TCGA-CC-A3M9-01A 45 years, male, asian, stage:Stage IIIA, dead, 300 days 0.3
TCGA-FV-A3I0-01A 76 years, female, white, stage:Stage II, alive, 848 days 0.3
TCGA-BC-A112-01A 80 years, male, white, stage:'--, dead, 153 days 0.3
TCGA-ED-A7PX-01A 48 years, female, asian, stage:Stage II, alive, 6 days 0.3
TCGA-CC-A5UD-01A 45 years, male, asian, stage:Stage IIIA, dead, 304 days 0.3
TCGA-BC-A10Q-01A 72 years, female, white, stage:'--, dead, 1135 days 0.2
TCGA-CC-A7II-01A 54 years, male, asian, stage:Stage IIIA, alive, 399 days 0.1
TCGA-CC-A1HT-01A 50 years, male, asian, stage:Stage IIIA, dead, 101 days 0.1
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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.

MASP2 is validated prognostic, high expression is favorable 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.

: 54.65
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 201.7
Number of samples 231
Samples
Sample Description pTPM
DO50839 47 years, female, NA, stage:3, alive, 330 days 1204.3
DO50811 62 years, male, NA, stage:1, alive, 450 days 719.3
DO50783 62 years, male, NA, stage:3, alive, 480 days 670.1
DO45095 66 years, male, NA, stage:2, alive, 1620 days 653.1
DO50840 49 years, male, NA, stage:2, alive, 330 days 644.7
DO45125 58 years, male, NA, stage:3, alive, 1680 days 633.2
DO50776 75 years, male, NA, stage:1, alive, 690 days 630.0
DO50817 75 years, male, NA, stage:2, alive, 390 days 593.8
DO48693 71 years, male, NA, stage:2, alive, 900 days 560.7
DO23516 69 years, male, NA, stage:3, dead, 20 days 533.4
DO23548 78 years, female, NA, stage:1, alive, 840 days 527.9
DO45273 62 years, male, NA, stage:2, alive, 480 days 523.5
DO45171 56 years, male, NA, stage:3, alive, 600 days 506.6
DO23539 77 years, male, NA, stage:1, alive, 1110 days 486.8
DO45099 46 years, male, NA, stage:3, alive, 1590 days 486.4
DO23511 83 years, female, NA, stage:3, dead, 180 days 470.0
DO50805 72 years, male, NA, stage:2, alive, 690 days 464.6
DO48759 73 years, male, NA, stage:3, alive, 720 days 462.1
DO50816 63 years, male, NA, stage:2, alive, 390 days 448.1
DO45101 63 years, male, NA, stage:2, alive, 1680 days 447.4
DO50809 56 years, male, NA, stage:3, dead, 720 days 428.3
DO45169 74 years, male, NA, stage:3, alive, 1350 days 418.4
DO23546 63 years, male, NA, stage:2, alive, 1050 days 405.7
DO50787 63 years, male, NA, stage:3, alive, 480 days 405.4
DO23512 60 years, male, NA, stage:1, alive, 1260 days 398.3
DO227643 79 years, male, NA, stage:2, alive, 1260 days 398.0
DO45261 74 years, male, NA, stage:3, alive, 990 days 397.4
DO50814 83 years, male, NA, stage:3, alive, 420 days 396.7
DO50850 74 years, male, NA, stage:3, alive, 720 days 387.0
DO45199 86 years, female, NA, stage:2, alive, 1350 days 373.6
DO50818 65 years, male, NA, stage:2, alive, 510 days 369.1
DO48677 58 years, male, NA, stage:3, alive, 1140 days 368.2
DO45159 65 years, male, NA, stage:3, alive, 1470 days 364.7
DO45241 49 years, male, NA, stage:1, alive, 1080 days 363.2
DO227801 77 years, female, NA, stage:1, alive, 660 days 362.7
DO50806 70 years, male, NA, stage:4, alive, 540 days 361.0
DO45107 63 years, female, NA, stage:2, alive, 1710 days 359.3
DO23549 74 years, male, NA, stage:3, alive, 990 days 357.1
DO50798 77 years, male, NA, stage:3, dead, 30 days 353.1
DO48672 81 years, male, NA, stage:2, alive, 450 days 351.1
DO50793 76 years, male, NA, stage:4, alive, 540 days 350.5
DO45143 69 years, male, NA, stage:3, alive, 1290 days 350.3
DO23545 67 years, male, NA, stage:2, dead, 570 days 349.5
DO50804 81 years, male, NA, stage:2, alive, 720 days 347.1
DO45094 76 years, male, NA, stage:3, alive, 1650 days 337.2
DO23518 67 years, male, NA, stage:2, alive, 1320 days 337.1
DO45149 70 years, female, NA, stage:2, alive, 1260 days 335.1
DO48733 72 years, male, NA, stage:2, alive, 600 days 334.1
DO23532 71 years, female, NA, stage:1, alive, 960 days 325.8
DO50802 49 years, male, NA, stage:2, alive, 930 days 325.8
DO23540 73 years, male, NA, stage:1, alive, 750 days 323.9
DO48716 71 years, male, NA, stage:2, alive, 720 days 321.4
DO45121 61 years, male, NA, stage:3, alive, 1530 days 319.3
DO50822 66 years, male, NA, stage:2, alive, 510 days 318.4
DO45131 53 years, male, NA, stage:4, dead, 360 days 300.4
DO45179 78 years, female, NA, stage:2, alive, 600 days 296.5
DO48674 80 years, male, NA, stage:2, alive, 1260 days 294.4
DO48746 76 years, male, NA, stage:3, alive, 570 days 292.0
DO45103 47 years, male, NA, stage:3, alive, 450 days 291.2
DO50859 77 years, male, NA, stage:2, alive, 180 days 290.9
DO23544 67 years, male, NA, stage:2, alive, 960 days 290.8
DO45257 46 years, male, NA, stage:3, alive, 810 days 289.5
DO48701 78 years, male, NA, stage:2, alive, 780 days 289.2
DO50825 70 years, male, NA, stage:2, alive, 390 days 287.0
DO48695 77 years, male, NA, stage:2, alive, 720 days 285.6
DO23543 63 years, male, NA, stage:2, alive, 1020 days 283.8
DO23529 72 years, male, NA, stage:4, alive, 930 days 280.7
DO45141 73 years, male, NA, stage:2, alive, 1320 days 280.6
DO45219 78 years, male, NA, stage:2, alive, 1080 days 277.7
DO23533 61 years, male, NA, stage:2, alive, 900 days 275.4
DO45092 62 years, male, NA, stage:4, dead, 1200 days 270.4
DO45229 74 years, male, NA, stage:1, alive, 990 days 269.5
DO23508 79 years, female, NA, stage:2, alive, 390 days 269.0
DO50813 56 years, male, NA, stage:2, alive, 420 days 266.1
DO45133 64 years, male, NA, stage:3, dead, 660 days 263.6
DO45123 78 years, female, NA, stage:2, dead, 570 days 262.6
DO23534 60 years, male, NA, stage:2, alive, 840 days 262.2
DO45113 58 years, male, NA, stage:3, alive, 1560 days 261.8
DO45195 62 years, male, NA, stage:1, alive, 390 days 260.0
DO48741 64 years, male, NA, stage:3, alive, 240 days 259.7
DO23510 80 years, female, NA, stage:2, alive, 870 days 259.6
DO48730 73 years, female, NA, stage:2, alive, 630 days 258.9
DO45153 77 years, female, NA, stage:2, alive, 1380 days 258.7
DO50808 68 years, male, NA, stage:2, alive, 570 days 253.5
DO48757 68 years, female, NA, stage:3, alive, 480 days 248.8
DO45227 57 years, female, NA, stage:2, alive, 1020 days 245.9
DO50832 73 years, male, NA, stage:3, alive, 90 days 244.8
DO45117 73 years, female, NA, stage:2, dead, 1110 days 243.6
DO45097 69 years, male, NA, stage:3, alive, 1620 days 240.5
DO50844 75 years, male, NA, stage:4, alive, 300 days 240.2
DO45255 81 years, male, NA, stage:3, alive, 720 days 239.0
DO45197 51 years, male, NA, stage:2, alive, 1170 days 237.4
DO45165 75 years, male, NA, stage:2, alive, 690 days 235.8
DO45163 76 years, male, NA, stage:2, alive, 960 days 227.4
DO45167 67 years, male, NA, stage:2, dead, 1440 days 226.5
DO45281 83 years, male, NA, stage:4, alive, 750 days 225.5
DO45235 68 years, female, NA, stage:1, alive, 900 days 224.2
DO23542 66 years, male, NA, stage:3, alive, 960 days 215.6
DO23551 73 years, male, NA, stage:3, dead, 150 days 211.3
DO45177 81 years, female, NA, stage:3, alive, 1260 days 204.6
DO48712 50 years, male, NA, stage:2, alive, 810 days 203.0
DO48742 76 years, male, NA, stage:2, alive, 600 days 195.1
DO48700 78 years, female, NA, stage:2, alive, 810 days 193.2
DO50785 37 years, male, NA, stage:4, dead, 90 days 192.1
DO45105 61 years, male, NA, stage:1, alive, 1680 days 191.0
DO48751 68 years, male, NA, stage:2, dead, 480 days 189.6
DO45096 69 years, male, NA, stage:2, dead, 1290 days 187.3
DO23514 64 years, male, NA, stage:2, alive, 1290 days 185.7
DO50845 72 years, male, NA, stage:3, alive, 210 days 184.8
DO48704 68 years, female, NA, stage:3, alive, 750 days 184.2
DO48723 73 years, male, NA, stage:1, alive, 600 days 182.6
DO23527 72 years, male, NA, stage:1, alive, 1050 days 181.8
DO45201 49 years, male, NA, stage:1, alive, 900 days 181.4
DO23535 67 years, male, NA, stage:1, alive, 960 days 173.8
DO23528 45 years, female, NA, stage:2, alive, 1020 days 173.3
DO50799 66 years, female, NA, stage:2, alive, 540 days 172.6
DO45243 74 years, female, NA, stage:3, alive, 930 days 170.4
DO45181 84 years, female, NA, stage:2, alive, 1200 days 169.3
DO23550 69 years, male, NA, stage:1, alive, 990 days 167.2
DO23531 78 years, female, NA, stage:3, alive, 900 days 166.4
DO45207 68 years, male, NA, stage:1, alive, 1050 days 165.8
DO50803 62 years, female, NA, stage:1, alive, 540 days 165.5
DO45203 71 years, female, NA, stage:2, alive, 1170 days 163.3
DO45173 63 years, male, NA, stage:3, alive, 1170 days 159.2
DO48743 69 years, female, NA, stage:2, alive, 570 days 158.9
DO45253 50 years, male, NA, stage:2, alive, 870 days 157.6
DO48706 72 years, male, NA, stage:2, alive, 870 days 155.2
DO23541 65 years, male, NA, stage:2, alive, 930 days 151.8
DO45091 56 years, male, NA, stage:2, dead, 1320 days 151.0
DO48725 66 years, male, NA, stage:1, alive, 780 days 148.6
DO45215 65 years, male, NA, stage:2, alive, 1170 days 140.8
DO23517 62 years, male, NA, stage:2, alive, 1200 days 139.8
DO23525 71 years, male, NA, stage:4, alive, 1050 days 139.3
DO23509 60 years, male, NA, stage:3, dead, 780 days 138.2
DO45231 84 years, male, NA, stage:2, alive, 930 days 137.3
DO45157 62 years, male, NA, stage:2, alive, 1980 days 136.2
DO45137 38 years, male, NA, stage:1, alive, 1320 days 135.3
DO50857 72 years, male, NA, stage:2, alive, 210 days 132.7
DO45093 71 years, male, NA, stage:2, dead, 720 days 132.6
DO45193 68 years, female, NA, stage:4, dead, 120 days 130.4
DO45109 63 years, male, NA, stage:2, alive, 1590 days 128.0
DO45223 67 years, male, NA, stage:4, alive, 1020 days 127.2
DO48760 70 years, female, NA, stage:2, alive, 690 days 125.6
DO50819 72 years, female, NA, stage:2, alive, 510 days 125.5
DO48697 64 years, female, NA, stage:2, dead, 810 days 123.9
DO45161 74 years, male, NA, stage:2, dead, 540 days 120.1
DO45111 74 years, male, NA, stage:2, alive, 1590 days 118.1
DO45221 75 years, female, NA, stage:4, dead, 390 days 117.1
DO45129 61 years, male, NA, stage:3, alive, 1470 days 116.7
DO45155 69 years, male, NA, stage:2, alive, 2160 days 115.7
DO50791 79 years, female, NA, stage:1, dead, 480 days 112.0
DO23538 67 years, male, NA, stage:2, alive, 450 days 107.3
DO45135 77 years, male, NA, stage:1, alive, 1410 days 99.0
DO45237 58 years, male, NA, stage:2, alive, 900 days 95.9
DO48679 72 years, male, NA, stage:2, alive, 1200 days 94.1
DO45247 31 years, female, NA, stage:2, alive, 210 days 90.0
DO50789 73 years, female, NA, stage:2, alive, 570 days 90.0
DO50820 77 years, female, NA, stage:3, alive, 510 days 89.3
DO50774 68 years, female, NA, stage:2, alive, 720 days 88.2
DO48715 58 years, female, NA, stage:2, dead, 690 days 87.0
DO23537 79 years, male, NA, stage:2, dead, 900 days 86.0
DO48721 58 years, female, NA, stage:1, alive, 900 days 85.5
DO45233 83 years, male, NA, stage:3, alive, 900 days 83.7
DO50807 67 years, male, NA, stage:1, alive, 540 days 78.2
DO48736 76 years, female, NA, stage:1, alive, 600 days 77.8
DO23513 76 years, male, NA, stage:3, alive, 1200 days 71.7
DO48737 52 years, male, NA, stage:1, alive, 720 days 70.9
DO50800 74 years, male, NA, stage:2, alive, 510 days 69.6
DO48732 73 years, male, NA, stage:3, alive, 630 days 69.5
DO45187 32 years, female, NA, stage:1, alive, 1260 days 67.5
DO23547 74 years, male, NA, stage:1, alive, 1020 days 64.6
DO45139 63 years, male, NA, stage:3, alive, 1320 days 63.2
DO45213 58 years, male, NA, stage:1, alive, 1200 days 61.2
DO23536 56 years, male, NA, stage:2, alive, 930 days 58.2
DO48728 74 years, female, NA, stage:2, alive, 150 days 56.6
DO45175 74 years, male, NA, stage:2, alive, 1140 days 55.9
DO45119 74 years, male, NA, stage:3, dead, 510 days 53.4
DO45239 42 years, male, NA, stage:2, alive, 870 days 47.8
DO45267 73 years, male, NA, stage:3, dead, 570 days 47.6
DO48720 62 years, female, NA, stage:2, alive, 570 days 44.7
DO23526 66 years, male, NA, stage:3, alive, 1050 days 44.6
DO48761 55 years, male, NA, stage:2, alive, 870 days 39.3
DO45115 81 years, male, NA, stage:2, alive, 840 days 34.8
DO23530 53 years, male, NA, stage:4, dead, 180 days 30.2
DO45191 61 years, female, NA, stage:2, alive, 1200 days 28.5
DO50778 60 years, male, NA, stage:4, alive, 630 days 27.5
DO45265 73 years, male, NA, stage:3, alive, 1020 days 26.7
DO45225 69 years, male, NA, stage:1, alive, 1050 days 25.2
DO45249 57 years, male, NA, stage:1, alive, 630 days 23.3
DO23524 71 years, female, NA, stage:2, alive, 1050 days 23.3
DO45185 89 years, male, NA, stage:2, alive, 600 days 21.1
DO45183 72 years, female, NA, stage:2, dead, 570 days 20.9
DO45251 57 years, female, NA, stage:2, alive, 900 days 20.7
DO45301 56 years, male, NA, stage:2, dead, 1440 days 19.1
DO45285 59 years, male, NA, stage:3, alive, 480 days 18.7
DO45263 67 years, male, NA, stage:3, dead, 270 days 18.7
DO45127 73 years, male, NA, stage:3, dead, 420 days 16.7
DO45209 70 years, male, NA, stage:4, alive, 1350 days 16.0
DO50829 78 years, male, NA, stage:3, alive, 570 days 15.4
DO50855 47 years, male, NA, stage:2, alive, 570 days 12.2
DO45145 78 years, male, NA, stage:3, dead, 60 days 10.9
DO23515 71 years, male, NA, stage:2, alive, 1230 days 7.1
DO48717 54 years, male, NA, stage:4, dead, 180 days 6.7
DO45217 69 years, female, NA, stage:3, dead, 270 days 6.6
DO45287 74 years, male, NA, stage:1, alive, 390 days 6.6
DO45189 85 years, female, NA, stage:2, alive, 1200 days 6.3
DO45297 61 years, female, NA, stage:4, dead, 1260 days 5.4
DO48719 80 years, male, NA, stage:2, alive, 690 days 5.2
DO45205 67 years, female, NA, stage:2, dead, 90 days 5.2
DO45305 66 years, male, NA, stage:4, alive, 300 days 4.9
DO48681 57 years, male, NA, stage:2, alive, 900 days 4.7
DO48727 81 years, female, NA, stage:2, dead, 390 days 3.7
DO45277 64 years, male, NA, stage:3, alive, 600 days 3.5
DO45275 65 years, male, NA, stage:3, dead, 10 days 2.9
DO45283 60 years, male, NA, stage:3, alive, 510 days 2.7
DO48682 72 years, female, NA, stage:3, dead, 120 days 2.6
DO45259 65 years, male, NA, stage:3, alive, 330 days 2.1
DO50815 62 years, male, NA, stage:3, alive, 150 days 2.0
DO23523 52 years, male, NA, stage:3, alive, 1080 days 2.0
DO45269 59 years, male, NA, stage:3, alive, 750 days 1.9
DO45303 62 years, female, NA, stage:3, alive, 990 days 1.6
DO45299 70 years, female, NA, stage:1, alive, 1440 days 1.6
DO45211 76 years, male, NA, stage:3, alive, 240 days 1.5
DO45279 67 years, male, NA, stage:3, alive, 1290 days 1.4
DO23519 65 years, male, NA, stage:3, alive, 630 days 1.3
DO45307 54 years, female, NA, stage:4, dead, 240 days 1.2
DO45245 75 years, female, NA, stage:2, dead, 240 days 1.0
DO23552 80 years, female, NA, stage:1, alive, 810 days 1.0
DO23521 63 years, male, NA, stage:3, alive, 1110 days 0.8
DO48747 62 years, male, NA, stage:3, alive, 540 days 0.8
DO45289 78 years, female, NA, stage:3, alive, 360 days 0.7
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LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples 330
Samples
Sample ID Sample type nRPX
672 Normal 1.0
777 Tumor 1.0
415 Tumor 1.0
126 Normal 0.8
636 Normal 0.8
186 Normal 0.7
628 Normal 0.7
148 Normal 0.7
188 Normal 0.7
864 Normal 0.7
312 Normal 0.7
857 Tumor 0.7
392 Normal 0.6
172 Normal 0.6
968 Normal 0.6
568 Normal 0.6
635 Tumor 0.6
368 Normal 0.6
534 Normal 0.5
564 Normal 0.5
526 Normal 0.5
314 Normal 0.5
396 Normal 0.5
227 Tumor 0.5
162 Normal 0.5
618 Normal 0.5
955 Tumor 0.5
412 Normal 0.4
713 Tumor 0.4
343 Tumor 0.4
356 Normal 0.4
332 Normal 0.4
192 Normal 0.4
558 Normal 0.4
918 Normal 0.4
394 Normal 0.4
572 Normal 0.4
557 Tumor 0.4
228 Normal 0.4
388 Normal 0.4
137 Tumor 0.4
778 Normal 0.4
111 Normal 0.4
956 Normal 0.4
727 Tumor 0.4
571 Tumor 0.4
615 Tumor 0.4
574 Normal 0.3
286 Normal 0.3
128 Normal 0.3
1028 Normal 0.3
546 Normal 0.3
376 Normal 0.3
354 Normal 0.3
528 Normal 0.3
342 Normal 0.3
224 Normal 0.3
284 Normal 0.3
425 Tumor 0.3
554 Normal 0.3
386 Normal 0.3
231 Tumor 0.3
212 Normal 0.3
494 Normal 0.3
616 Normal 0.3
728 Normal 0.3
913 Tumor 0.3
468 Normal 0.2
132 Normal 0.2
136 Normal 0.2
958 Normal 0.2
878 Normal 0.2
384 Normal 0.2
426 Normal 0.2
696 Normal 0.2
124 Normal 0.2
746 Normal 0.2
877 Tumor 0.2
984 Normal 0.2
114 Normal 0.2
135 Tumor 0.2
232 Normal 0.2
278 Normal 0.2
272 Normal 0.2
866 Normal 0.2
518 Normal 0.2
196 Normal 0.2
138 Normal 0.2
642 Normal 0.2
963 Tumor 0.2
277 Tumor 0.2
524 Normal 0.2
358 Normal 0.2
258 Normal 0.2
452 Normal 0.2
484 Normal 0.2
944 Normal 0.2
627 Tumor 0.2
952 Normal 0.2
327 Tumor 0.2
883 Tumor 0.2
914 Normal 0.2
436 Normal 0.2
742 Normal 0.2
214 Normal 0.2
112 Tumor 0.1
142 Normal 0.1
466 Normal 0.1
922 Normal 0.1
344 Normal 0.1
432 Normal 0.1
113 Tumor 0.1
785 Tumor 0.1
1014 Normal 0.1
362 Normal 0.1
416 Normal 0.1
185 Tumor 0.1
982 Normal 0.1
448 Normal 0.1
816 Normal 0.1
465 Tumor 0.1
964 Normal 0.1
981 Tumor 0.1
738 Normal 0.1
195 Tumor 0.1
1022 Normal 0.1
976 Normal 0.1
218 Normal 0.1
365 Tumor 0.1
648 Normal 0.1
261 Tumor 0.1
741 Tumor 0.1
353 Tumor 0.1
474 Normal 0.1
938 Normal 0.1
171 Tumor 0.0
756 Normal 0.0
874 Normal 0.0
862 Normal 0.0
462 Normal 0.0
488 Normal 0.0
671 Tumor 0.0
352 Normal 0.0
516 Normal 0.0
563 Tumor 0.0
366 Normal 0.0
515 Tumor 0.0
298 Normal 0.0
387 Tumor 0.0
446 Normal 0.0
915 Tumor 0.0
357 Tumor 0.0
435 Tumor 0.0
723 Tumor 0.0
966 Normal 0.0
481 Tumor 0.0
868 Normal 0.0
744 Normal 0.0
662 Normal 0.0
647 Tumor 0.0
1026 Normal 0.0
698 Normal 0.0
716 Normal 0.0
391 Tumor 0.0
916 Normal 0.0
533 Tumor 0.0
882 Normal 0.0
464 Normal 0.0
538 Normal 0.0
953 Tumor 0.0
498 Normal 0.0
786 Normal 0.0
714 Normal 0.0
1021 Tumor 0.0
863 Tumor 0.0
422 Normal 0.0
262 Normal 0.0
433 Tumor 0.0
222 Normal 0.0
1027 Tumor 0.0
884 Normal 0.0
472 Normal 0.0
482 Normal -0.1
146 Normal -0.1
818 Normal -0.1
267 Tumor -0.1
924 Normal -0.1
977 Tumor -0.1
364 Normal -0.1
361 Tumor -0.1
926 Normal -0.1
686 Normal -0.1
423 Tumor -0.1
492 Normal -0.1
1016 Normal -0.1
268 Normal -0.1
664 Normal -0.1
858 Normal -0.1
444 Normal -0.1
1044 Normal -0.1
852 Normal -0.1
434 Normal -0.1
1032 Normal -0.1
722 Normal -0.1
414 Normal -0.1
513 Tumor -0.1
978 Normal -0.1
424 Normal -0.1
823 Tumor -0.1
217 Tumor -0.1
824 Normal -0.2
954 Normal -0.2
456 Normal -0.2
666 Normal -0.2
1042 Normal -0.2
141 Tumor -0.2
483 Tumor -0.2
428 Normal -0.2
461 Tumor -0.2
445 Tumor -0.2
665 Tumor -0.2
478 Normal -0.2
1041 Tumor -0.2
1045 Tumor -0.2
431 Tumor -0.2
328 Normal -0.2
313 Tumor -0.2
663 Tumor -0.2
395 Tumor -0.2
455 Tumor -0.2
127 Tumor -0.2
514 Normal -0.2
443 Tumor -0.3
411 Tumor -0.3
1015 Tumor -0.3
341 Tumor -0.3
755 Tumor -0.3
477 Tumor -0.3
937 Tumor -0.3
471 Tumor -0.3
925 Tumor -0.3
1046 Normal -0.3
685 Tumor -0.3
921 Tumor -0.3
421 Tumor -0.3
721 Tumor -0.3
867 Tumor -0.3
213 Tumor -0.4
257 Tumor -0.4
536 Normal -0.4
451 Tumor -0.4
873 Tumor -0.4
145 Tumor -0.4
912 Normal -0.4
297 Tumor -0.4
191 Tumor -0.4
695 Tumor -0.4
697 Tumor -0.4
147 Tumor -0.4
951 Tumor -0.4
1025 Tumor -0.5
661 Tumor -0.5
1013 Tumor -0.5
567 Tumor -0.5
383 Tumor -0.5
917 Tumor -0.5
271 Tumor -0.5
331 Tumor -0.5
553 Tumor -0.5
491 Tumor -0.5
573 Tumor -0.5
923 Tumor -0.5
737 Tumor -0.5
363 Tumor -0.5
223 Tumor -0.5
745 Tumor -0.5
393 Tumor -0.5
851 Tumor -0.5
943 Tumor -0.5
881 Tumor -0.5
911 Tumor -0.6
865 Tumor -0.6
975 Tumor -0.6
817 Tumor -0.6
463 Tumor -0.6
367 Tumor -0.6
967 Tumor -0.6
375 Tumor -0.6
221 Tumor -0.6
187 Tumor -0.6
641 Tumor -0.6
715 Tumor -0.6
161 Tumor -0.6
447 Tumor -0.6
427 Tumor -0.6
517 Tumor -0.6
487 Tumor -0.7
814 Normal -0.7
355 Tumor -0.7
351 Tumor -0.7
1031 Tumor -0.7
283 Tumor -0.8
497 Tumor -0.8
473 Tumor -0.8
617 Tumor -0.8
1043 Tumor -0.8
493 Tumor -0.8
813 Tumor -0.8
965 Tumor -0.8
525 Tumor -0.8
861 Tumor -0.9
413 Tumor -0.9
523 Tumor -0.9
983 Tumor -0.9
311 Tumor -1.0
467 Tumor -1.0
724 Normal -1.1
123 Tumor -1.1
537 Tumor -1.2
131 Tumor -1.2
743 Tumor -1.2
815 Tumor -1.2
527 Tumor -1.2
125 Tumor -1.2
957 Tumor -1.3
385 Tumor -1.4
211 Tumor -1.4
545 Tumor -1.4
285 Tumor -1.5
535 Tumor -1.6
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 HPA029313

Antibody HPA029314
 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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