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IFITM3
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  • IFITM3
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.

IFITM3 is not prognostic in Liver Hepatocellular Carcinoma (TCGA)


Stage:


Survival analysis
Current cut offi

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

:
Best expression cut offi

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

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

: 3766.84
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 2806.4
Number of samples 362
Samples
Sample Description pTPM
TCGA-DD-AAD5-01A 54 years, male, asian, stage:Stage I, alive, 1345 days 9241.2
TCGA-CC-5264-01A 71 years, male, asian, stage:Stage IIIA, dead, 102 days 8350.7
TCGA-DD-AACH-01A 69 years, male, asian, stage:Stage II, dead, 195 days 7643.2
TCGA-UB-A7MF-01A 56 years, male, white, stage:Stage IIIA, dead, 214 days 6877.8
TCGA-O8-A75V-01A 54 years, male, stage:Stage I, alive, 538 days 6551.7
TCGA-EP-A12J-01A 62 years, male, black or african american, stage:Stage I, alive, 570 days 6396.0
TCGA-DD-A1EG-01A 76 years, male, white, stage:Stage I, dead, 1372 days 6114.2
TCGA-ZS-A9CD-01A 73 years, male, white, stage:Stage II, dead, 1386 days 6113.2
TCGA-ES-A2HT-01A 54 years, male, black or african american, stage:Stage I, dead, 438 days 6111.7
TCGA-BC-A5W4-01A 69 years, male, white, stage:Stage IIIA, dead, 547 days 6066.6
TCGA-KR-A7K2-01A 64 years, male, white, stage:Stage I, alive, 829 days 6062.8
TCGA-DD-A116-01A 68 years, male, asian, stage:Stage IIIA, dead, 1622 days 6033.3
TCGA-G3-A25S-01A 64 years, male, white, stage:Stage I, dead, 416 days 5932.5
TCGA-DD-AAVV-01A 56 years, male, asian, stage:Stage II, alive, 2455 days 5866.5
TCGA-CC-A3MB-01A 36 years, male, asian, stage:Stage IIIA, dead, 315 days 5754.8
TCGA-EP-A2KA-01A 52 years, female, white, stage:Stage IIIA, dead, 627 days 5726.9
TCGA-MI-A75C-01A 64 years, male, white, stage:Stage I, alive, 291 days 5647.4
TCGA-DD-AADI-01A 43 years, female, asian, stage:Stage I, alive, 1085 days 5550.9
TCGA-CC-A5UD-01A 45 years, male, asian, stage:Stage IIIA, dead, 304 days 5450.3
TCGA-DD-A114-01A 42 years, male, black or african american, stage:Stage II, dead, 1149 days 5422.0
TCGA-G3-A3CG-01A 80 years, male, white, stage:Stage I, alive, 673 days 5389.4
TCGA-G3-A5SM-01A 58 years, male, white, stage:Stage II, alive, 520 days 5342.5
TCGA-DD-A4NO-01A 65 years, male, white, stage:Stage I, alive, 2245 days 5334.4
TCGA-CC-A1HT-01A 50 years, male, asian, stage:Stage IIIA, dead, 101 days 5291.0
TCGA-ZP-A9CV-01A 59 years, male, white, stage:'--, dead, 1088 days 5266.9
TCGA-DD-A3A9-01A 64 years, female, white, stage:Stage IVB, dead, 931 days 5154.7
TCGA-LG-A6GG-01A 79 years, female, white, stage:Stage II, alive, 387 days 5104.9
TCGA-FV-A3R2-01A 75 years, male, white, stage:Stage I, dead, 194 days 5044.9
TCGA-EP-A3JL-01A 76 years, male, white, stage:Stage I, alive, 303 days 5003.4
TCGA-DD-AAC8-01A 72 years, male, asian, stage:Stage I, dead, 16 days 4982.6
TCGA-3K-AAZ8-01A 65 years, male, black or african american, stage:Stage IIIB, alive, 396 days 4892.8
TCGA-DD-AADM-01A 58 years, male, asian, stage:Stage II, dead, 12 days 4883.9
TCGA-CC-5259-01A 60 years, female, asian, stage:Stage IIIC, alive, 250 days 4866.7
TCGA-CC-5262-01A 67 years, male, asian, stage:Stage IIIC, dead, 103 days 4851.4
TCGA-5C-A9VH-01A 70 years, male, white, stage:Stage I, alive, 322 days 4816.0
TCGA-ZP-A9D1-01A 56 years, female, white, stage:'--, alive, 21 days 4801.8
TCGA-K7-A6G5-01A 66 years, male, white, stage:Stage I, alive, 512 days 4631.8
TCGA-WQ-AB4B-01A 62 years, male, white, stage:Stage II, alive, 395 days 4585.0
TCGA-GJ-A3OU-01A 59 years, male, white, stage:Stage I, alive, 879 days 4548.4
TCGA-DD-AACU-01A 59 years, male, asian, stage:Stage I, alive, 1567 days 4538.9
TCGA-DD-AADB-01A 51 years, male, asian, stage:Stage I, alive, 1242 days 4523.4
TCGA-G3-A25Z-01A 58 years, male, asian, stage:Stage I, alive, 655 days 4452.1
TCGA-DD-AAVU-01A 46 years, male, asian, stage:Stage II, alive, 2202 days 4409.1
TCGA-DD-AADQ-01A 59 years, male, asian, stage:Stage II, alive, 436 days 4362.9
TCGA-CC-A7IJ-01A 56 years, male, asian, stage:Stage II, alive, 382 days 4322.0
TCGA-DD-AACN-01A 32 years, male, asian, stage:Stage I, alive, 1302 days 4305.6
TCGA-ED-A7PX-01A 48 years, female, asian, stage:Stage II, alive, 6 days 4293.8
TCGA-DD-A39Y-01A 67 years, male, asian, stage:Stage I, dead, 171 days 4289.5
TCGA-BD-A3EP-01A 75 years, female, black or african american, stage:Stage I, alive, 409 days 4265.7
TCGA-LG-A9QD-01A 68 years, male, white, stage:Stage IIIA, alive, 366 days 4253.0
TCGA-DD-AACI-01A 69 years, male, asian, stage:Stage II, alive, 1618 days 4238.5
TCGA-DD-AAD2-01A 66 years, male, asian, stage:Stage I, alive, 658 days 4235.2
TCGA-FV-A495-01A 51 years, female, white, stage:Stage II, alive, 1 days 4232.0
TCGA-DD-A1EI-01A 46 years, male, asian, stage:Stage I, alive, 183 days 4225.4
TCGA-2Y-A9GW-01A 64 years, male, white, stage:Stage I, dead, 1271 days 4193.8
TCGA-WX-AA47-01A 33 years, female, white, stage:Stage IIIA, dead, 556 days 4193.7
TCGA-CC-A9FS-01A 55 years, male, asian, stage:Stage II, alive, 211 days 4183.3
TCGA-G3-AAV4-01A 83 years, female, white, stage:Stage I, dead, 27 days 4171.0
TCGA-DD-AAVX-01A 38 years, male, asian, stage:Stage II, alive, 1718 days 4083.8
TCGA-DD-A3A1-01A 65 years, male, stage:Stage IIIA, dead, 233 days 4047.4
TCGA-G3-A25Y-01A 52 years, female, asian, stage:Stage I, dead, 452 days 4029.8
TCGA-FV-A23B-01A 70 years, female, white, stage:Stage II, dead, 1852 days 3963.6
TCGA-DD-A11C-01A 69 years, male, white, stage:Stage I, alive, 662 days 3953.1
TCGA-DD-AADP-01A 45 years, male, asian, stage:Stage I, alive, 458 days 3934.6
TCGA-XR-A8TG-01A 58 years, male, white, stage:Stage I, alive, 898 days 3913.1
TCGA-ZP-A9D2-01A 51 years, male, white, stage:'--, dead, 765 days 3908.9
TCGA-ED-A82E-01A 60 years, female, asian, stage:Stage IIIA, alive, 408 days 3888.2
TCGA-UB-A7MD-01A 67 years, male, black or african american, stage:Stage I, dead, 52 days 3881.9
TCGA-DD-AAEG-01A 59 years, female, asian, stage:Stage I, alive, 719 days 3876.4
TCGA-CC-A8HV-01A 51 years, female, asian, stage:Stage II, dead, 279 days 3835.2
TCGA-ED-A7XP-01A 53 years, female, asian, stage:Stage II, alive, 400 days 3809.9
TCGA-KR-A7K8-01A 57 years, male, stage:Stage I, alive, 906 days 3803.7
TCGA-DD-A3A3-01A 45 years, male, asian, stage:Stage I, dead, 535 days 3802.6
TCGA-DD-A3A4-01A 37 years, male, white, stage:Stage IIIA, dead, 612 days 3766.8
TCGA-DD-AADJ-01A 70 years, female, asian, stage:Stage I, alive, 1066 days 3763.6
TCGA-ED-A459-01A 47 years, male, asian, stage:Stage II, alive, 910 days 3743.6
TCGA-DD-AADK-01A 68 years, female, asian, stage:Stage II, alive, 1049 days 3734.4
TCGA-2Y-A9H0-01A 49 years, male, white, stage:Stage IIIA, alive, 3675 days 3727.5
TCGA-DD-AAD1-01A 51 years, female, asian, stage:Stage I, alive, 564 days 3723.4
TCGA-DD-AAVZ-01A 38 years, male, asian, stage:Stage I, alive, 1900 days 3713.0
TCGA-K7-A5RF-01A 64 years, male, white, stage:Stage I, alive, 631 days 3708.7
TCGA-BC-A69H-01A 64 years, male, white, stage:Stage II, alive, 444 days 3687.4
TCGA-CC-A7IG-01A 47 years, male, asian, stage:Stage II, dead, 299 days 3676.3
TCGA-DD-AACT-01A 69 years, female, asian, stage:Stage I, alive, 1562 days 3674.3
TCGA-G3-A25V-01A 68 years, male, white, stage:Stage I, alive, 860 days 3672.6
TCGA-CC-A5UE-01A 48 years, male, asian, stage:Stage IIIB, dead, 272 days 3643.5
TCGA-BC-A10S-01A 81 years, male, white, stage:'--, dead, 1423 days 3618.5
TCGA-DD-AACS-01A 39 years, male, asian, stage:Stage I, alive, 1804 days 3608.2
TCGA-DD-AACC-01A 61 years, male, asian, stage:Stage I, dead, 1685 days 3592.2
TCGA-UB-AA0U-01A 60 years, male, white, stage:Stage II, alive, 327 days 3584.6
TCGA-DD-AACF-01A 68 years, male, asian, stage:Stage I, dead, 365 days 3573.1
TCGA-2Y-A9H4-01A 68 years, male, black or african american, stage:Stage I, alive, 1452 days 3565.7
TCGA-RC-A6M6-01A 75 years, male, white, stage:Stage II, alive, 9 days 3563.6
TCGA-RC-A7SF-01A 66 years, male, asian, stage:Stage I, alive, 579 days 3494.7
TCGA-BC-A69I-01A 69 years, male, white, stage:Stage I, alive, 387 days 3474.9
TCGA-DD-AAW1-01A 55 years, male, asian, stage:Stage IIIA, alive, 1989 days 3455.6
TCGA-DD-A1EH-01A 23 years, male, white, stage:Stage III, alive, 1495 days 3450.3
TCGA-DD-A4NH-01A 65 years, female, white, stage:Stage IIIB, alive, 917 days 3447.1
TCGA-RC-A7SK-01A 59 years, male, asian, stage:Stage I, alive, 472 days 3437.2
TCGA-2Y-A9H1-01A 58 years, male, white, stage:Stage I, dead, 1229 days 3425.9
TCGA-DD-A4NJ-01A 54 years, female, white, stage:Stage II, alive, 928 days 3424.8
TCGA-G3-A5SI-01A 44 years, male, asian, stage:Stage II, dead, 768 days 3394.3
TCGA-G3-A7M7-01A 65 years, male, white, stage:Stage I, alive, 361 days 3388.9
TCGA-CC-5263-01A 35 years, male, asian, stage:Stage IIIA, dead, 129 days 3383.4
TCGA-DD-A39V-01A 77 years, male, white, stage:Stage II, dead, 643 days 3379.9
TCGA-BC-A3KF-01A 66 years, female, white, stage:Stage I, alive, 8 days 3371.4
TCGA-UB-A7ME-01A 51 years, male, asian, stage:Stage I, alive, 486 days 3369.8
TCGA-ZP-A9CY-01A 66 years, female, white, stage:'--, alive, 782 days 3349.9
TCGA-FV-A4ZQ-01A 52 years, male, white, stage:Stage I, alive, 12 days 3349.7
TCGA-EP-A3RK-01A 73 years, male, white, stage:Stage IIIA, alive, 363 days 3339.5
TCGA-DD-AAVP-01A 48 years, male, asian, stage:Stage I, alive, 2752 days 3335.0
TCGA-2Y-A9HB-01A 66 years, male, stage:Stage I, alive, 260 days 3327.5
TCGA-DD-A1EC-01A 20 years, female, white, stage:Stage I, alive, 602 days 3324.6
TCGA-YA-A8S7-01A 68 years, male, white, stage:Stage IIIA, dead, 412 days 3318.5
TCGA-DD-AACD-01A 48 years, male, asian, stage:Stage I, dead, 381 days 3284.6
TCGA-ED-A7PY-01A 20 years, female, asian, stage:Stage II, alive, 390 days 3269.3
TCGA-KR-A7K7-01A 61 years, female, white, stage:Stage II, alive, 951 days 3260.9
TCGA-MI-A75E-01A 61 years, male, white, stage:Stage IIIC, alive, 507 days 3257.3
TCGA-DD-AACB-01A 74 years, female, asian, stage:Stage I, alive, 2324 days 3256.4
TCGA-EP-A2KC-01A 62 years, male, black or african american, stage:Stage I, dead, 19 days 3228.5
TCGA-DD-A119-01A 40 years, male, asian, stage:Stage IV, dead, 223 days 3228.4
TCGA-DD-AAD0-01A 73 years, female, asian, stage:Stage I, alive, 137 days 3196.1
TCGA-DD-AACY-01A 61 years, male, asian, stage:Stage I, alive, 1450 days 3186.6
TCGA-BD-A3ER-01A 62 years, male, white, stage:Stage II, alive, 1115 days 3179.9
TCGA-DD-AACV-01A 53 years, male, asian, stage:Stage I, alive, 1531 days 3172.7
TCGA-FV-A2QR-01A 75 years, male, white, stage:Stage I, dead, 581 days 3152.3
TCGA-ED-A627-01A 74 years, male, white, stage:Stage I, alive, 423 days 3128.1
TCGA-DD-AAE1-01A 52 years, male, asian, stage:Stage I, alive, 552 days 3121.7
TCGA-FV-A2QQ-01A 80 years, male, white, stage:Stage I, alive, 729 days 3116.6
TCGA-2Y-A9H5-01A 59 years, female, white, stage:Stage I, dead, 555 days 3116.5
TCGA-DD-A39Z-01A 43 years, female, stage:Stage II, dead, 601 days 3074.9
TCGA-2Y-A9H2-01A 64 years, female, white, stage:Stage I, alive, 1731 days 3064.2
TCGA-DD-A4NA-01A 67 years, female, white, stage:Stage IIIC, alive, 1008 days 3062.8
TCGA-DD-AAE0-01A 45 years, female, asian, stage:Stage IIIA, alive, 555 days 3051.5
TCGA-G3-A3CJ-01A 52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days 3023.6
TCGA-DD-AAC9-01A 51 years, male, asian, stage:Stage I, alive, 347 days 3023.5
TCGA-DD-AAVR-01A 44 years, male, asian, stage:Stage I, alive, 2513 days 3016.3
TCGA-G3-AAUZ-01A 48 years, male, stage:Stage I, alive, 480 days 2998.6
TCGA-DD-A4NN-01A 56 years, female, white, stage:Stage I, dead, 899 days 2994.0
TCGA-DD-A115-01A 53 years, male, white, stage:Stage IIIA, dead, 2542 days 2989.4
TCGA-DD-A4NQ-01A 60 years, male, white, stage:Stage II, dead, 373 days 2983.0
TCGA-DD-AADY-01A 55 years, female, asian, stage:Stage I, alive, 555 days 2977.1
TCGA-DD-AA3A-01A 81 years, female, white, stage:Stage I, dead, 410 days 2976.1
TCGA-DD-AAVS-01A 56 years, male, asian, stage:Stage I, alive, 1823 days 2971.7
TCGA-DD-A1EA-01A 68 years, male, asian, stage:Stage II, alive, 2415 days 2971.4
TCGA-HP-A5MZ-01A 78 years, male, stage:Stage I, dead, 91 days 2961.6
TCGA-MI-A75I-01A 61 years, male, black or african american, stage:'--, alive, 630 days 2956.6
TCGA-KR-A7K0-01A 65 years, male, white, stage:Stage I, dead, 65 days 2956.0
TCGA-MI-A75H-01A 77 years, male, white, stage:'--, alive, 747 days 2947.9
TCGA-PD-A5DF-01A 58 years, female, white, stage:Stage IIIB, dead, 639 days 2946.6
TCGA-DD-AACL-01A 66 years, female, asian, stage:Stage I, dead, 107 days 2924.2
TCGA-T1-A6J8-01A 68 years, male, white, stage:'--, alive, 23 days 2924.1
TCGA-2Y-A9GV-01A 54 years, female, white, stage:Stage I, dead, 2532 days 2922.3
TCGA-DD-AACK-01A 70 years, male, asian, stage:Stage I, alive, 9 days 2899.9
TCGA-ED-A5KG-01A 60 years, female, asian, stage:Stage II, alive, 854 days 2898.7
TCGA-CC-A8HS-01A 18 years, male, asian, stage:Stage IIIC, dead, 300 days 2886.4
TCGA-K7-AAU7-01A 61 years, male, white, stage:Stage II, alive, 359 days 2870.7
TCGA-G3-A3CK-01A 61 years, male, asian, stage:Stage I, alive, 585 days 2870.3
TCGA-CC-A9FW-01A 68 years, male, asian, stage:Stage IIIA, alive, 248 days 2853.0
TCGA-CC-A3MC-01A 54 years, male, asian, stage:Stage IIIA, alive, 363 days 2844.8
TCGA-2Y-A9H9-01A 70 years, male, white, stage:Stage I, alive, 697 days 2819.7
TCGA-DD-A1EE-01A 73 years, male, white, stage:Stage IIIA, dead, 349 days 2817.3
TCGA-BC-A217-01A 75 years, female, white, stage:Stage II, dead, 1397 days 2814.4
TCGA-2Y-A9H7-01A 81 years, female, white, stage:Stage I, alive, 1168 days 2807.2
TCGA-ED-A97K-01A 54 years, male, asian, stage:Stage IIIA, alive, 6 days 2772.7
TCGA-DD-AAEH-01A 73 years, male, asian, stage:Stage I, alive, 784 days 2772.5
TCGA-4R-AA8I-01A 66 years, male, white, stage:Stage II, dead, 262 days 2768.9
TCGA-DD-AAVY-01A 56 years, male, asian, stage:Stage IIIA, alive, 1970 days 2768.8
TCGA-DD-AACQ-01A 50 years, male, asian, stage:Stage II, dead, 432 days 2764.7
TCGA-DD-A39X-01A 78 years, female, white, stage:Stage I, dead, 1694 days 2755.8
TCGA-DD-AAW0-01A 54 years, male, asian, stage:Stage I, alive, 2015 days 2746.1
TCGA-DD-A4NR-01A 85 years, female, white, stage:Stage I, dead, 9 days 2719.6
TCGA-5R-AAAM-01A 65 years, female, white, stage:Stage II, dead, 46 days 2713.4
TCGA-DD-A3A5-01A 66 years, female, white, stage:Stage III, dead, 3125 days 2693.8
TCGA-DD-A4NS-01A 61 years, female, white, stage:Stage I, dead, 2456 days 2693.8
TCGA-DD-A11B-01A 73 years, male, white, stage:Stage I, dead, 14 days 2690.1
TCGA-DD-A1EB-01A 72 years, female, stage:Stage I, alive, 2017 days 2676.0
TCGA-BC-A110-01A 51 years, female, black or african american, stage:'--, dead, 2116 days 2674.1
TCGA-BC-A10U-01A 69 years, male, white, stage:'--, dead, 837 days 2671.0
TCGA-DD-AAE9-01A 69 years, male, asian, stage:Stage I, alive, 722 days 2668.1
TCGA-BC-A10R-01A 66 years, female, white, stage:'--, dead, 308 days 2664.0
TCGA-CC-A7IH-01A 58 years, male, asian, stage:Stage IIIA, alive, 365 days 2658.0
TCGA-DD-A73B-01A 72 years, female, white, stage:Stage I, dead, 283 days 2641.3
TCGA-DD-AAVQ-01A 38 years, male, asian, stage:Stage I, alive, 2728 days 2633.0
TCGA-ZS-A9CF-01A 64 years, male, white, stage:Stage II, alive, 2412 days 2630.7
TCGA-DD-A3A7-01A 67 years, male, stage:Stage IIIB, dead, 419 days 2615.7
TCGA-LG-A9QC-01A 48 years, male, white, stage:Stage I, alive, 425 days 2609.0
TCGA-DD-AADL-01A 58 years, male, asian, stage:Stage I, alive, 636 days 2608.6
TCGA-2Y-A9GS-01A 58 years, male, white, stage:'--, dead, 724 days 2601.4
TCGA-DD-AACX-01A 66 years, male, asian, stage:Stage II, alive, 170 days 2574.1
TCGA-DD-AAEI-01A 72 years, male, asian, stage:Stage I, alive, 1531 days 2572.9
TCGA-BC-A10Y-01A 76 years, male, white, stage:'--, dead, 711 days 2543.1
TCGA-2Y-A9GY-01A 64 years, female, white, stage:Stage II, dead, 757 days 2542.0
TCGA-RC-A6M5-01A 20 years, female, white, stage:Stage IVA, alive, 15 days 2537.9
TCGA-K7-A5RG-01A 66 years, male, black or african american, stage:Stage I, alive, 519 days 2525.2
TCGA-BD-A2L6-01A 69 years, male, white, stage:'--, alive, 1363 days 2502.6
TCGA-MR-A8JO-01A 34 years, male, white, stage:Stage I, alive, 330 days 2496.0
TCGA-DD-A1EL-01A 23 years, male, black or african american, stage:Stage II, dead, 415 days 2491.4
TCGA-FV-A3I1-01A 81 years, female, white, stage:Stage II, dead, 247 days 2488.3
TCGA-DD-AACA-01A 65 years, male, asian, stage:Stage I, alive, 2301 days 2485.7
TCGA-CC-A7II-01A 54 years, male, asian, stage:Stage IIIA, alive, 399 days 2481.8
TCGA-CC-A7IE-01A 57 years, male, asian, stage:Stage IIIA, dead, 217 days 2479.7
TCGA-5R-AA1D-01A 17 years, female, white, stage:Stage IIIA, alive, 449 days 2455.1
TCGA-MI-A75G-01A 63 years, male, white, stage:Stage II, alive, 698 days 2454.3
TCGA-EP-A2KB-01A 46 years, female, white, stage:Stage I, dead, 596 days 2452.6
TCGA-DD-A4NL-01A 46 years, male, white, stage:Stage I, alive, 1711 days 2439.3
TCGA-ED-A66X-01A 35 years, male, asian, stage:Stage IIIA, alive, 406 days 2395.4
TCGA-G3-AAV2-01A 50 years, male, white, stage:Stage I, alive, 372 days 2391.6
TCGA-BC-A10W-01A 50 years, male, asian, stage:'--, dead, 91 days 2386.1
TCGA-DD-AAW3-01A 69 years, male, asian, stage:Stage I, alive, 1633 days 2357.6
TCGA-CC-5258-01A 48 years, male, asian, stage:Stage II, dead, 129 days 2354.4
TCGA-DD-A4NG-01A 77 years, male, white, stage:Stage IIIA, dead, 802 days 2332.8
TCGA-DD-AACW-01A 43 years, male, asian, stage:Stage I, alive, 1424 days 2323.3
TCGA-DD-AADC-01A 53 years, male, asian, stage:Stage I, dead, 425 days 2317.3
TCGA-DD-A4NB-01A 25 years, male, white, stage:Stage I, alive, 989 days 2296.0
TCGA-DD-A4NP-01A 32 years, male, white, stage:Stage I, alive, 3308 days 2291.0
TCGA-DD-A1ED-01A 68 years, male, white, stage:Stage I, alive, 2301 days 2287.9
TCGA-DD-AADV-01A 50 years, male, asian, stage:Stage I, alive, 574 days 2286.7
TCGA-FV-A3I0-01A 76 years, female, white, stage:Stage II, alive, 848 days 2271.7
TCGA-G3-AAV7-01A 38 years, male, asian, stage:Stage II, alive, 361 days 2263.2
TCGA-DD-A73F-01A 77 years, female, white, stage:Stage I, alive, 1085 days 2258.9
TCGA-2Y-A9GT-01A 51 years, male, white, stage:Stage I, dead, 1624 days 2245.7
TCGA-HP-A5N0-01A 90 years, female, stage:'--, dead, 752 days 2232.7
TCGA-G3-A3CH-01A 53 years, male, asian, stage:Stage IIIA, alive, 780 days 2217.4
TCGA-BC-A10T-01A 76 years, male, white, stage:'--, dead, 837 days 2197.3
TCGA-CC-5261-01A 44 years, male, asian, stage:Stage II, dead, 97 days 2197.3
TCGA-DD-A3A8-01A 75 years, male, white, stage:Stage II, dead, 11 days 2195.5
TCGA-DD-A73G-01A 73 years, female, white, stage:Stage I, alive, 3478 days 2189.3
TCGA-RC-A7SH-01A 42 years, male, asian, stage:Stage II, alive, 468 days 2176.7
TCGA-ED-A4XI-01A 58 years, male, asian, stage:Stage II, alive, 819 days 2175.5
TCGA-DD-AADF-01A 64 years, female, asian, stage:Stage I, dead, 115 days 2173.5
TCGA-2Y-A9GX-01A 68 years, male, white, stage:Stage I, alive, 2442 days 2163.8
TCGA-DD-A4NE-01A 75 years, female, white, stage:Stage IIIA, dead, 660 days 2162.4
TCGA-CC-A3MA-01A 61 years, male, asian, stage:Stage IIIA, dead, 303 days 2148.3
TCGA-ZS-A9CG-01A 55 years, male, white, stage:Stage II, alive, 341 days 2128.4
TCGA-WX-AA44-01A 64 years, female, white, stage:Stage I, alive, 615 days 2119.9
TCGA-RC-A7S9-01A 47 years, female, asian, stage:Stage I, alive, 640 days 2115.7
TCGA-ED-A7XO-01A 29 years, male, asian, stage:Stage IIIA, alive, 427 days 2101.1
TCGA-DD-AAEE-01A 55 years, male, asian, stage:Stage I, alive, 810 days 2099.0
TCGA-DD-AAW2-01A 69 years, male, asian, stage:Stage I, alive, 1855 days 2098.8
TCGA-DD-A11D-01A 57 years, female, white, stage:Stage I, dead, 1560 days 2083.8
TCGA-DD-AAVW-01A 35 years, male, asian, stage:Stage I, alive, 2317 days 2069.4
TCGA-BW-A5NO-01A 50 years, male, black or african american, stage:Stage IIIA, alive, 20 days 2061.7
TCGA-BC-A10X-01A 52 years, female, white, stage:Stage IIIA, dead, 770 days 2058.0
TCGA-5R-AA1C-01A 57 years, male, white, stage:Stage II, alive, 520 days 2053.2
TCGA-GJ-A9DB-01A 68 years, male, white, stage:Stage I, dead, 67 days 2045.6
TCGA-G3-A7M9-01A 70 years, male, white, stage:Stage IIIB, dead, 56 days 2035.6
TCGA-GJ-A6C0-01A 75 years, female, white, stage:Stage II, dead, 31 days 2032.8
TCGA-DD-A3A6-01A 72 years, female, white, stage:Stage II, dead, 3258 days 2031.0
TCGA-CC-5260-01A 61 years, female, asian, stage:Stage IIIC, dead, 87 days 2015.2
TCGA-XR-A8TC-01A 43 years, female, white, stage:Stage I, alive, 1339 days 2002.0
TCGA-G3-A7M6-01A 60 years, female, white, stage:Stage I, alive, 632 days 1997.0
TCGA-CC-A8HT-01A 74 years, male, asian, stage:Stage IIIA, dead, 140 days 1987.1
TCGA-DD-AAE6-01A 59 years, female, asian, stage:Stage I, alive, 141 days 1979.9
TCGA-DD-A4NF-01A 72 years, male, white, stage:Stage I, alive, 942 days 1971.8
TCGA-ES-A2HS-01A 80 years, male, white, stage:Stage I, dead, 688 days 1963.4
TCGA-FV-A496-01A 84 years, female, white, stage:Stage I, alive, 10 days 1946.4
TCGA-CC-A123-01A 24 years, female, asian, stage:Stage IIIA, alive, 219 days 1927.6
TCGA-G3-AAV3-01A 58 years, female, white, stage:Stage II, alive, 412 days 1924.1
TCGA-DD-AAEA-01A 65 years, male, asian, stage:Stage I, alive, 575 days 1923.1
TCGA-XR-A8TE-01A 16 years, male, white, stage:Stage IIIA, alive, 925 days 1915.8
TCGA-DD-AADN-01A 59 years, male, asian, stage:Stage I, alive, 898 days 1902.9
TCGA-DD-AAD3-01A 43 years, male, asian, stage:Stage I, alive, 1295 days 1895.7
TCGA-CC-A3M9-01A 45 years, male, asian, stage:Stage IIIA, dead, 300 days 1891.2
TCGA-FV-A4ZP-01A 78 years, male, white, stage:Stage IIIA, dead, 2486 days 1889.3
TCGA-XR-A8TF-01A 74 years, male, white, stage:Stage I, dead, 693 days 1888.5
TCGA-DD-A1EK-01A 64 years, female, white, stage:Stage IVB, dead, 558 days 1866.5
TCGA-G3-A25T-01A 45 years, female, white, stage:Stage IIIA, alive, 1553 days 1861.4
TCGA-G3-A5SL-01A 70 years, male, white, stage:Stage II, alive, 621 days 1856.0
TCGA-DD-AAD8-01A 73 years, female, asian, stage:Stage I, alive, 1219 days 1835.9
TCGA-BC-A216-01A 62 years, female, white, stage:Stage IIIA, alive, 1351 days 1818.3
TCGA-EP-A26S-01A 70 years, male, white, stage:Stage I, alive, 608 days 1802.0
TCGA-5C-AAPD-01A 61 years, male, asian, stage:Stage II, alive, 20 days 1792.9
TCGA-ED-A8O5-01A 59 years, female, asian, stage:Stage IIIA, alive, 406 days 1792.3
TCGA-DD-A4ND-01A 56 years, female, white, stage:Stage I, alive, 2746 days 1781.9
TCGA-G3-AAV1-01A 51 years, male, asian, stage:Stage IIIC, dead, 359 days 1781.1
TCGA-XR-A8TD-01A 49 years, female, white, stage:Stage IIIB, alive, 1030 days 1766.4
TCGA-DD-AADA-01A 66 years, female, asian, stage:Stage I, alive, 1233 days 1763.4
TCGA-RC-A6M4-01A 74 years, female, white, stage:Stage IIIA, alive, 22 days 1751.6
TCGA-UB-A7MA-01A 62 years, female, white, stage:Stage II, alive, 848 days 1742.6
TCGA-G3-A25X-01A 73 years, male, asian, stage:Stage II, alive, 1779 days 1719.9
TCGA-G3-A5SK-01A 58 years, male, white, stage:Stage I, alive, 744 days 1698.9
TCGA-DD-A4NK-01A 80 years, female, white, stage:Stage IIIA, dead, 1210 days 1694.3
TCGA-DD-A4NV-01A 61 years, male, white, stage:Stage IIIA, alive, 2398 days 1683.1
TCGA-DD-A73A-01A 71 years, male, white, stage:Stage I, alive, 728 days 1675.2
TCGA-WJ-A86L-01A 68 years, female, white, stage:Stage I, alive, 345 days 1661.7
TCGA-G3-A6UC-01A 65 years, male, white, stage:Stage IIIB, alive, 671 days 1654.0
TCGA-BC-A8YO-01A 66 years, female, white, stage:Stage IIIC, alive, 562 days 1629.8
TCGA-DD-A39W-01A 29 years, female, white, stage:Stage III, dead, 827 days 1626.7
TCGA-DD-AACJ-01A 75 years, male, asian, stage:Stage II, alive, 2102 days 1607.4
TCGA-DD-AADU-01A 60 years, male, asian, stage:Stage II, alive, 554 days 1574.0
TCGA-DD-AAEK-01A 51 years, male, asian, stage:Stage II, alive, 1067 days 1568.4
TCGA-UB-A7MC-01A 59 years, male, white, stage:Stage IIIA, alive, 500 days 1540.3
TCGA-DD-AACZ-01A 63 years, female, asian, stage:Stage I, dead, 171 days 1507.5
TCGA-ZP-A9CZ-01A 72 years, male, asian, stage:'--, alive, 706 days 1500.3
TCGA-DD-AAE2-01A 51 years, male, asian, stage:Stage I, alive, 638 days 1497.2
TCGA-DD-AAE4-01A 49 years, female, asian, stage:Stage I, alive, 608 days 1495.8
TCGA-ZP-A9D4-01A 64 years, female, white, stage:'--, alive, 395 days 1463.8
TCGA-2Y-A9HA-01A 70 years, male, white, stage:Stage II, dead, 36 days 1460.6
TCGA-CC-A7IL-01A 61 years, male, asian, stage:Stage IIIA, dead, 278 days 1448.6
TCGA-DD-AADW-01A 48 years, male, asian, stage:Stage I, alive, 587 days 1435.0
TCGA-DD-AACG-01A 52 years, male, asian, stage:Stage II, dead, 469 days 1431.1
TCGA-DD-AADS-01A 63 years, male, asian, stage:Stage I, alive, 474 days 1428.3
TCGA-DD-AADR-01A 58 years, male, asian, stage:Stage I, alive, 2028 days 1360.0
TCGA-2Y-A9GZ-01A 82 years, female, white, stage:Stage II, dead, 848 days 1332.6
TCGA-NI-A8LF-01A 74 years, male, white, stage:Stage I, alive, 799 days 1306.4
TCGA-G3-AAV5-01A 67 years, male, white, stage:Stage II, alive, 354 days 1306.0
TCGA-WX-AA46-01A 61 years, male, white, stage:Stage II, alive, 756 days 1290.7
TCGA-G3-A5SJ-01A 59 years, male, white, stage:Stage I, alive, 698 days 1289.7
TCGA-DD-A113-01A 55 years, female, white, stage:Stage II, alive, 2425 days 1284.6
TCGA-FV-A3R3-01A 38 years, female, white, stage:Stage I, dead, 366 days 1273.5
TCGA-DD-AADG-01A 70 years, male, asian, stage:Stage IIIA, alive, 1145 days 1269.6
TCGA-G3-A7M5-01A 76 years, male, asian, stage:Stage I, alive, 447 days 1247.2
TCGA-DD-AACP-01A 64 years, male, asian, stage:Stage I, alive, 415 days 1239.8
TCGA-DD-AAE3-01A 50 years, male, asian, stage:Stage I, alive, 566 days 1235.8
TCGA-ED-A8O6-01A 50 years, female, asian, stage:Stage IIIA, dead, 56 days 1229.2
TCGA-BC-A112-01A 80 years, male, white, stage:'--, dead, 153 days 1228.7
TCGA-UB-A7MB-01A 24 years, male, white, stage:Stage II, alive, 601 days 1225.3
TCGA-CC-A7IK-01A 59 years, male, asian, stage:Stage IIIA, dead, 262 days 1214.6
TCGA-ZP-A9D0-01A 67 years, female, black or african american, stage:'--, alive, 1091 days 1208.8
TCGA-DD-AAED-01A 51 years, male, asian, stage:Stage I, alive, 763 days 1207.6
TCGA-DD-AACO-01A 40 years, male, asian, stage:Stage I, alive, 1876 days 1201.0
TCGA-UB-AA0V-01A 69 years, female, white, stage:Stage I, alive, 314 days 1195.8
TCGA-DD-A1EJ-01A 71 years, female, white, stage:Stage IIIC, dead, 1005 days 1193.4
TCGA-DD-AAEB-01A 60 years, male, asian, stage:Stage I, alive, 478 days 1149.1
TCGA-DD-AADO-01A 55 years, male, asian, stage:Stage I, alive, 453 days 1138.9
TCGA-2Y-A9H8-01A 85 years, female, white, stage:'--, dead, 633 days 1127.8
TCGA-DD-A4NI-01A 67 years, male, white, stage:Stage II, alive, 816 days 1122.5
TCGA-DD-A73E-01A 66 years, male, white, stage:Stage I, alive, 44 days 1109.9
TCGA-DD-A73C-01A 65 years, female, white, stage:Stage IIIA, alive, 701 days 1109.1
TCGA-QA-A7B7-01A 48 years, male, black or african american, stage:Stage II, alive, 94 days 1107.8
TCGA-DD-AAE7-01A 72 years, male, asian, stage:Stage I, alive, 644 days 1096.5
TCGA-BC-A10Q-01A 72 years, female, white, stage:'--, dead, 1135 days 1072.8
TCGA-CC-A7IF-01A 59 years, male, asian, stage:Stage IIIA, dead, 649 days 1064.4
TCGA-DD-AACE-01A 62 years, male, asian, stage:Stage I, alive, 2184 days 1064.2
TCGA-DD-A73D-01A 68 years, female, white, stage:Stage II, alive, 693 days 1052.3
TCGA-G3-A25U-01A 63 years, female, asian, stage:Stage I, alive, 1636 days 1031.4
TCGA-ZS-A9CE-01A 79 years, female, white, stage:Stage II, alive, 1241 days 1030.0
TCGA-RG-A7D4-01A 69 years, male, black or african american, stage:Stage II, alive, 1098 days 1012.6
TCGA-BC-A10Z-01A 62 years, female, white, stage:Stage I, dead, 34 days 1007.6
TCGA-2Y-A9H3-01A 45 years, male, white, stage:Stage II, alive, 1516 days 998.6
TCGA-2Y-A9H6-01A 68 years, female, white, stage:Stage I, alive, 357 days 987.2
TCGA-G3-AAV0-01A 58 years, male, asian, stage:Stage I, alive, 476 days 945.0
TCGA-BC-A3KG-01A 68 years, female, white, stage:Stage II, alive, 680 days 944.3
TCGA-CC-A5UC-01A 63 years, male, asian, stage:Stage IIIA, dead, 347 days 891.6
TCGA-NI-A4U2-01A 71 years, male, white, stage:Stage IIIA, dead, 1791 days 857.1
TCGA-5C-A9VG-01A 58 years, male, white, stage:Stage II, alive, 328 days 852.4
TCGA-DD-A118-01A 77 years, female, white, stage:Stage II, alive, 3437 days 846.3
TCGA-RC-A7SB-01A 53 years, male, asian, stage:Stage II, alive, 588 days 834.5
TCGA-DD-A3A2-01A 76 years, female, white, stage:Stage I, dead, 2131 days 813.0
TCGA-G3-A3CI-01A 71 years, male, white, stage:Stage I, alive, 180 days 784.6
TCGA-CC-A8HU-01A 39 years, female, asian, stage:Stage IIIA, dead, 344 days 722.4
TCGA-ED-A7PZ-01A 61 years, male, asian, stage:Stage II, alive, 6 days 672.2
TCGA-MR-A520-01A 58 years, male, white, stage:Stage I, alive, 229 days 646.1
TCGA-WQ-A9G7-01A 71 years, female, white, stage:'--, alive, 30 days 637.0
TCGA-G3-A7M8-01A 31 years, male, asian, stage:Stage I, alive, 430 days 634.9
TCGA-G3-AAV6-01A 53 years, female, white, stage:Stage IIIA, dead, 65 days 627.2
TCGA-DD-AAD6-01A 66 years, male, asian, stage:Stage IIIA, alive, 672 days 577.4
TCGA-2Y-A9GU-01A 55 years, female, white, stage:Stage I, alive, 1939 days 555.1
TCGA-DD-A1EF-01A 57 years, female, white, stage:Stage I, dead, 394 days 451.6
TCGA-DD-AADD-01A 51 years, male, asian, stage:Stage I, alive, 1231 days 427.1
TCGA-ED-A66Y-01A 51 years, female, asian, stage:Stage IIIA, dead, 296 days 240.8
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LIVER HEPATOCELLULAR CARCINOMA (VALIDATION) - Interactive survival scatter ploti

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

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

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

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

& Survival analysisi

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

IFITM3 is not prognostic in Liver Hepatocellular Carcinoma (validation)


Stage:
Survival analysis
Current cut offi

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

:
Best expression cut offi

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

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

: 2595.88
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 2148.5
Number of samples 231
Samples
Sample Description pTPM
DO50805 72 years, male, NA, stage:2, alive, 690 days 6465.8
DO48737 52 years, male, NA, stage:1, alive, 720 days 5990.6
DO48733 72 years, male, NA, stage:2, alive, 600 days 5307.3
DO23535 67 years, male, NA, stage:1, alive, 960 days 5195.2
DO50850 74 years, male, NA, stage:3, alive, 720 days 4605.8
DO45199 86 years, female, NA, stage:2, alive, 1350 days 4568.5
DO48700 78 years, female, NA, stage:2, alive, 810 days 4512.6
DO48716 71 years, male, NA, stage:2, alive, 720 days 4471.1
DO48719 80 years, male, NA, stage:2, alive, 690 days 4447.3
DO50798 77 years, male, NA, stage:3, dead, 30 days 4067.0
DO48723 73 years, male, NA, stage:1, alive, 600 days 4028.0
DO45273 62 years, male, NA, stage:2, alive, 480 days 3850.1
DO45257 46 years, male, NA, stage:3, alive, 810 days 3764.8
DO50818 65 years, male, NA, stage:2, alive, 510 days 3713.4
DO23510 80 years, female, NA, stage:2, alive, 870 days 3673.0
DO45283 60 years, male, NA, stage:3, alive, 510 days 3631.1
DO23512 60 years, male, NA, stage:1, alive, 1260 days 3622.8
DO227801 77 years, female, NA, stage:1, alive, 660 days 3616.9
DO45289 78 years, female, NA, stage:3, alive, 360 days 3613.2
DO50806 70 years, male, NA, stage:4, alive, 540 days 3606.1
DO45095 66 years, male, NA, stage:2, alive, 1620 days 3599.9
DO48732 73 years, male, NA, stage:3, alive, 630 days 3462.9
DO23539 77 years, male, NA, stage:1, alive, 1110 days 3437.2
DO45092 62 years, male, NA, stage:4, dead, 1200 days 3435.7
DO45119 74 years, male, NA, stage:3, dead, 510 days 3401.6
DO45135 77 years, male, NA, stage:1, alive, 1410 days 3361.0
DO48697 64 years, female, NA, stage:2, dead, 810 days 3323.5
DO23526 66 years, male, NA, stage:3, alive, 1050 days 3312.0
DO45277 64 years, male, NA, stage:3, alive, 600 days 3303.4
DO50783 62 years, male, NA, stage:3, alive, 480 days 3294.2
DO45115 81 years, male, NA, stage:2, alive, 840 days 3262.2
DO48695 77 years, male, NA, stage:2, alive, 720 days 3210.7
DO45121 61 years, male, NA, stage:3, alive, 1530 days 3172.7
DO23548 78 years, female, NA, stage:1, alive, 840 days 3167.2
DO45143 69 years, male, NA, stage:3, alive, 1290 days 3155.7
DO50832 73 years, male, NA, stage:3, alive, 90 days 3151.3
DO48704 68 years, female, NA, stage:3, alive, 750 days 3130.7
DO45249 57 years, male, NA, stage:1, alive, 630 days 3057.4
DO50800 74 years, male, NA, stage:2, alive, 510 days 3046.0
DO50811 62 years, male, NA, stage:1, alive, 450 days 2979.8
DO23514 64 years, male, NA, stage:2, alive, 1290 days 2906.7
DO227643 79 years, male, NA, stage:2, alive, 1260 days 2893.9
DO45159 65 years, male, NA, stage:3, alive, 1470 days 2893.0
DO23521 63 years, male, NA, stage:3, alive, 1110 days 2880.8
DO50804 81 years, male, NA, stage:2, alive, 720 days 2877.9
DO45155 69 years, male, NA, stage:2, alive, 2160 days 2875.1
DO48720 62 years, female, NA, stage:2, alive, 570 days 2873.4
DO23519 65 years, male, NA, stage:3, alive, 630 days 2861.8
DO50789 73 years, female, NA, stage:2, alive, 570 days 2856.3
DO45205 67 years, female, NA, stage:2, dead, 90 days 2813.6
DO48679 72 years, male, NA, stage:2, alive, 1200 days 2798.5
DO23525 71 years, male, NA, stage:4, alive, 1050 days 2781.0
DO50825 70 years, male, NA, stage:2, alive, 390 days 2753.6
DO23543 63 years, male, NA, stage:2, alive, 1020 days 2745.7
DO45201 49 years, male, NA, stage:1, alive, 900 days 2724.9
DO45251 57 years, female, NA, stage:2, alive, 900 days 2716.7
DO45275 65 years, male, NA, stage:3, dead, 10 days 2715.7
DO23518 67 years, male, NA, stage:2, alive, 1320 days 2710.0
DO45139 63 years, male, NA, stage:3, alive, 1320 days 2698.4
DO23533 61 years, male, NA, stage:2, alive, 900 days 2684.0
DO48747 62 years, male, NA, stage:3, alive, 540 days 2683.6
DO45261 74 years, male, NA, stage:3, alive, 990 days 2675.5
DO50819 72 years, female, NA, stage:2, alive, 510 days 2661.9
DO50776 75 years, male, NA, stage:1, alive, 690 days 2661.1
DO23542 66 years, male, NA, stage:3, alive, 960 days 2655.8
DO50778 60 years, male, NA, stage:4, alive, 630 days 2623.2
DO50813 56 years, male, NA, stage:2, alive, 420 days 2606.0
DO23530 53 years, male, NA, stage:4, dead, 180 days 2585.8
DO50822 66 years, male, NA, stage:2, alive, 510 days 2576.3
DO45153 77 years, female, NA, stage:2, alive, 1380 days 2550.1
DO45225 69 years, male, NA, stage:1, alive, 1050 days 2530.7
DO48682 72 years, female, NA, stage:3, dead, 120 days 2527.7
DO45207 68 years, male, NA, stage:1, alive, 1050 days 2525.6
DO23544 67 years, male, NA, stage:2, alive, 960 days 2510.9
DO45099 46 years, male, NA, stage:3, alive, 1590 days 2505.3
DO50839 47 years, female, NA, stage:3, alive, 330 days 2498.8
DO48741 64 years, male, NA, stage:3, alive, 240 days 2496.8
DO48760 70 years, female, NA, stage:2, alive, 690 days 2433.0
DO23513 76 years, male, NA, stage:3, alive, 1200 days 2430.6
DO48717 54 years, male, NA, stage:4, dead, 180 days 2415.4
DO50820 77 years, female, NA, stage:3, alive, 510 days 2409.8
DO50787 63 years, male, NA, stage:3, alive, 480 days 2406.6
DO50793 76 years, male, NA, stage:4, alive, 540 days 2399.3
DO45103 47 years, male, NA, stage:3, alive, 450 days 2366.6
DO45131 53 years, male, NA, stage:4, dead, 360 days 2365.0
DO23551 73 years, male, NA, stage:3, dead, 150 days 2358.1
DO48693 71 years, male, NA, stage:2, alive, 900 days 2351.6
DO50791 79 years, female, NA, stage:1, dead, 480 days 2343.7
DO45183 72 years, female, NA, stage:2, dead, 570 days 2341.5
DO50803 62 years, female, NA, stage:1, alive, 540 days 2338.5
DO48672 81 years, male, NA, stage:2, alive, 450 days 2328.5
DO23549 74 years, male, NA, stage:3, alive, 990 days 2321.3
DO45307 54 years, female, NA, stage:4, dead, 240 days 2317.4
DO50817 75 years, male, NA, stage:2, alive, 390 days 2311.7
DO45109 63 years, male, NA, stage:2, alive, 1590 days 2298.0
DO45141 73 years, male, NA, stage:2, alive, 1320 days 2295.3
DO48701 78 years, male, NA, stage:2, alive, 780 days 2287.1
DO45297 61 years, female, NA, stage:4, dead, 1260 days 2271.6
DO50807 67 years, male, NA, stage:1, alive, 540 days 2266.2
DO45269 59 years, male, NA, stage:3, alive, 750 days 2219.6
DO45185 89 years, male, NA, stage:2, alive, 600 days 2201.4
DO45229 74 years, male, NA, stage:1, alive, 990 days 2198.8
DO48746 76 years, male, NA, stage:3, alive, 570 days 2197.4
DO45091 56 years, male, NA, stage:2, dead, 1320 days 2195.4
DO50845 72 years, male, NA, stage:3, alive, 210 days 2189.1
DO45165 75 years, male, NA, stage:2, alive, 690 days 2167.4
DO50785 37 years, male, NA, stage:4, dead, 90 days 2153.4
DO45157 62 years, male, NA, stage:2, alive, 1980 days 2148.0
DO45221 75 years, female, NA, stage:4, dead, 390 days 2126.7
DO23516 69 years, male, NA, stage:3, dead, 20 days 2115.5
DO23508 79 years, female, NA, stage:2, alive, 390 days 2085.0
DO48728 74 years, female, NA, stage:2, alive, 150 days 2061.5
DO45219 78 years, male, NA, stage:2, alive, 1080 days 2061.5
DO45094 76 years, male, NA, stage:3, alive, 1650 days 2053.9
DO45217 69 years, female, NA, stage:3, dead, 270 days 2053.5
DO45255 81 years, male, NA, stage:3, alive, 720 days 2039.1
DO23524 71 years, female, NA, stage:2, alive, 1050 days 2025.4
DO48761 55 years, male, NA, stage:2, alive, 870 days 2024.7
DO48725 66 years, male, NA, stage:1, alive, 780 days 2010.7
DO45267 73 years, male, NA, stage:3, dead, 570 days 2010.5
DO45305 66 years, male, NA, stage:4, alive, 300 days 2004.2
DO23547 74 years, male, NA, stage:1, alive, 1020 days 1978.6
DO23536 56 years, male, NA, stage:2, alive, 930 days 1973.8
DO48736 76 years, female, NA, stage:1, alive, 600 days 1964.1
DO45239 42 years, male, NA, stage:2, alive, 870 days 1950.8
DO45303 62 years, female, NA, stage:3, alive, 990 days 1943.2
DO48730 73 years, female, NA, stage:2, alive, 630 days 1941.5
DO45253 50 years, male, NA, stage:2, alive, 870 days 1927.2
DO23529 72 years, male, NA, stage:4, alive, 930 days 1886.2
DO45301 56 years, male, NA, stage:2, dead, 1440 days 1879.4
DO45173 63 years, male, NA, stage:3, alive, 1170 days 1877.9
DO48712 50 years, male, NA, stage:2, alive, 810 days 1866.5
DO48743 69 years, female, NA, stage:2, alive, 570 days 1862.7
DO45161 74 years, male, NA, stage:2, dead, 540 days 1857.2
DO48721 58 years, female, NA, stage:1, alive, 900 days 1852.8
DO23541 65 years, male, NA, stage:2, alive, 930 days 1850.3
DO45243 74 years, female, NA, stage:3, alive, 930 days 1829.9
DO23546 63 years, male, NA, stage:2, alive, 1050 days 1822.6
DO45187 32 years, female, NA, stage:1, alive, 1260 days 1821.2
DO50816 63 years, male, NA, stage:2, alive, 390 days 1815.6
DO50859 77 years, male, NA, stage:2, alive, 180 days 1815.3
DO45287 74 years, male, NA, stage:1, alive, 390 days 1786.9
DO23545 67 years, male, NA, stage:2, dead, 570 days 1785.9
DO45191 61 years, female, NA, stage:2, alive, 1200 days 1770.5
DO45113 58 years, male, NA, stage:3, alive, 1560 days 1759.3
DO50857 72 years, male, NA, stage:2, alive, 210 days 1759.1
DO45107 63 years, female, NA, stage:2, alive, 1710 days 1750.7
DO45231 84 years, male, NA, stage:2, alive, 930 days 1733.5
DO45149 70 years, female, NA, stage:2, alive, 1260 days 1729.8
DO45097 69 years, male, NA, stage:3, alive, 1620 days 1701.5
DO23540 73 years, male, NA, stage:1, alive, 750 days 1695.8
DO45285 59 years, male, NA, stage:3, alive, 480 days 1682.6
DO45181 84 years, female, NA, stage:2, alive, 1200 days 1674.5
DO45195 62 years, male, NA, stage:1, alive, 390 days 1673.3
DO45167 67 years, male, NA, stage:2, dead, 1440 days 1672.8
DO45215 65 years, male, NA, stage:2, alive, 1170 days 1664.2
DO23515 71 years, male, NA, stage:2, alive, 1230 days 1652.7
DO50809 56 years, male, NA, stage:3, dead, 720 days 1649.0
DO48759 73 years, male, NA, stage:3, alive, 720 days 1645.0
DO45213 58 years, male, NA, stage:1, alive, 1200 days 1643.9
DO45241 49 years, male, NA, stage:1, alive, 1080 days 1636.9
DO45093 71 years, male, NA, stage:2, dead, 720 days 1627.6
DO45263 67 years, male, NA, stage:3, dead, 270 days 1620.6
DO50802 49 years, male, NA, stage:2, alive, 930 days 1582.5
DO45211 76 years, male, NA, stage:3, alive, 240 days 1582.1
DO50774 68 years, female, NA, stage:2, alive, 720 days 1574.3
DO48715 58 years, female, NA, stage:2, dead, 690 days 1555.6
DO45123 78 years, female, NA, stage:2, dead, 570 days 1504.8
DO23527 72 years, male, NA, stage:1, alive, 1050 days 1501.1
DO23528 45 years, female, NA, stage:2, alive, 1020 days 1453.1
DO45197 51 years, male, NA, stage:2, alive, 1170 days 1402.1
DO50840 49 years, male, NA, stage:2, alive, 330 days 1388.6
DO45233 83 years, male, NA, stage:3, alive, 900 days 1386.8
DO48742 76 years, male, NA, stage:2, alive, 600 days 1386.0
DO23531 78 years, female, NA, stage:3, alive, 900 days 1382.8
DO50829 78 years, male, NA, stage:3, alive, 570 days 1372.2
DO45203 71 years, female, NA, stage:2, alive, 1170 days 1355.5
DO48706 72 years, male, NA, stage:2, alive, 870 days 1343.6
DO45137 38 years, male, NA, stage:1, alive, 1320 days 1319.3
DO45175 74 years, male, NA, stage:2, alive, 1140 days 1307.3
DO45179 78 years, female, NA, stage:2, alive, 600 days 1297.1
DO45125 58 years, male, NA, stage:3, alive, 1680 days 1288.7
DO23550 69 years, male, NA, stage:1, alive, 990 days 1271.8
DO45227 57 years, female, NA, stage:2, alive, 1020 days 1248.4
DO23517 62 years, male, NA, stage:2, alive, 1200 days 1243.9
DO45171 56 years, male, NA, stage:3, alive, 600 days 1243.2
DO45169 74 years, male, NA, stage:3, alive, 1350 days 1228.9
DO45177 81 years, female, NA, stage:3, alive, 1260 days 1217.8
DO45247 31 years, female, NA, stage:2, alive, 210 days 1214.0
DO48727 81 years, female, NA, stage:2, dead, 390 days 1195.0
DO45223 67 years, male, NA, stage:4, alive, 1020 days 1194.8
DO45259 65 years, male, NA, stage:3, alive, 330 days 1192.7
DO50808 68 years, male, NA, stage:2, alive, 570 days 1186.1
DO50799 66 years, female, NA, stage:2, alive, 540 days 1159.9
DO23552 80 years, female, NA, stage:1, alive, 810 days 1157.8
DO48751 68 years, male, NA, stage:2, dead, 480 days 1157.0
DO45279 67 years, male, NA, stage:3, alive, 1290 days 1130.3
DO45235 68 years, female, NA, stage:1, alive, 900 days 1102.4
DO45129 61 years, male, NA, stage:3, alive, 1470 days 1088.1
DO48674 80 years, male, NA, stage:2, alive, 1260 days 1029.9
DO50855 47 years, male, NA, stage:2, alive, 570 days 1029.6
DO45133 64 years, male, NA, stage:3, dead, 660 days 1023.4
DO45163 76 years, male, NA, stage:2, alive, 960 days 1019.5
DO45101 63 years, male, NA, stage:2, alive, 1680 days 1011.1
DO45096 69 years, male, NA, stage:2, dead, 1290 days 1008.1
DO45281 83 years, male, NA, stage:4, alive, 750 days 996.8
DO48677 58 years, male, NA, stage:3, alive, 1140 days 995.6
DO45265 73 years, male, NA, stage:3, alive, 1020 days 981.8
DO23523 52 years, male, NA, stage:3, alive, 1080 days 976.9
DO23534 60 years, male, NA, stage:2, alive, 840 days 974.8
DO23511 83 years, female, NA, stage:3, dead, 180 days 932.0
DO50814 83 years, male, NA, stage:3, alive, 420 days 906.9
DO45145 78 years, male, NA, stage:3, dead, 60 days 844.6
DO45237 58 years, male, NA, stage:2, alive, 900 days 840.8
DO23532 71 years, female, NA, stage:1, alive, 960 days 837.4
DO45117 73 years, female, NA, stage:2, dead, 1110 days 801.0
DO45105 61 years, male, NA, stage:1, alive, 1680 days 791.3
DO50844 75 years, male, NA, stage:4, alive, 300 days 778.9
DO48757 68 years, female, NA, stage:3, alive, 480 days 740.7
DO45111 74 years, male, NA, stage:2, alive, 1590 days 723.2
DO23538 67 years, male, NA, stage:2, alive, 450 days 721.4
DO45209 70 years, male, NA, stage:4, alive, 1350 days 642.7
DO45299 70 years, female, NA, stage:1, alive, 1440 days 618.5
DO23509 60 years, male, NA, stage:3, dead, 780 days 492.6
DO50815 62 years, male, NA, stage:3, alive, 150 days 451.8
DO23537 79 years, male, NA, stage:2, dead, 900 days 440.5
DO45245 75 years, female, NA, stage:2, dead, 240 days 437.4
DO45189 85 years, female, NA, stage:2, alive, 1200 days 379.1
DO45193 68 years, female, NA, stage:4, dead, 120 days 273.0
DO48681 57 years, male, NA, stage:2, alive, 900 days 239.0
DO45127 73 years, male, NA, stage:3, dead, 420 days 168.7
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LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples 330
Samples
Sample ID Sample type nRPX
573 Tumor 2.1
715 Tumor 1.9
221 Tumor 1.5
545 Tumor 1.5
195 Tumor 1.2
343 Tumor 1.2
983 Tumor 1.1
943 Tumor 1.0
861 Tumor 1.0
493 Tumor 1.0
1015 Tumor 1.0
883 Tumor 1.0
557 Tumor 0.9
467 Tumor 0.9
527 Tumor 0.8
697 Tumor 0.8
524 Normal 0.7
536 Normal 0.7
443 Tumor 0.7
223 Tumor 0.7
393 Tumor 0.6
361 Tumor 0.6
937 Tumor 0.6
917 Tumor 0.5
823 Tumor 0.5
385 Tumor 0.5
187 Tumor 0.5
365 Tumor 0.5
538 Normal 0.4
471 Tumor 0.4
815 Tumor 0.4
537 Tumor 0.3
523 Tumor 0.3
283 Tumor 0.3
1041 Tumor 0.3
955 Tumor 0.3
415 Tumor 0.2
663 Tumor 0.2
311 Tumor 0.2
395 Tumor 0.2
857 Tumor 0.2
1025 Tumor 0.2
413 Tumor 0.2
113 Tumor 0.2
665 Tumor 0.2
284 Normal 0.2
185 Tumor 0.2
617 Tumor 0.1
574 Normal 0.1
713 Tumor 0.1
267 Tumor 0.1
978 Normal 0.1
222 Normal 0.1
716 Normal 0.1
192 Normal 0.1
353 Tumor 0.1
112 Tumor 0.1
515 Tumor 0.1
217 Tumor 0.1
224 Normal 0.1
647 Tumor 0.1
285 Tumor 0.1
483 Tumor 0.1
916 Normal 0.0
981 Tumor 0.0
383 Tumor 0.0
416 Normal 0.0
982 Normal 0.0
392 Normal 0.0
213 Tumor 0.0
135 Tumor 0.0
212 Normal 0.0
478 Normal 0.0
666 Normal 0.0
386 Normal 0.0
421 Tumor 0.0
171 Tumor 0.0
327 Tumor 0.0
375 Tumor 0.0
427 Tumor 0.0
352 Normal 0.0
358 Normal 0.0
196 Normal 0.0
257 Tumor 0.0
984 Normal 0.0
344 Normal 0.0
228 Normal 0.0
446 Normal 0.0
497 Tumor -0.1
956 Normal -0.1
963 Tumor -0.1
218 Normal -0.1
434 Normal -0.1
1016 Normal -0.1
394 Normal -0.1
533 Tumor -0.1
516 Normal -0.1
817 Tumor -0.1
1028 Normal -0.1
696 Normal -0.1
865 Tumor -0.1
452 Normal -0.1
387 Tumor -0.1
1044 Normal -0.1
461 Tumor -0.1
526 Normal -0.1
286 Normal -0.1
1014 Normal -0.1
388 Normal -0.1
492 Normal -0.1
368 Normal -0.1
124 Normal -0.1
354 Normal -0.1
553 Tumor -0.1
1043 Tumor -0.1
966 Normal -0.1
873 Tumor -0.1
447 Tumor -0.1
396 Normal -0.1
433 Tumor -0.1
498 Normal -0.1
262 Normal -0.1
915 Tumor -0.2
755 Tumor -0.2
554 Normal -0.2
685 Tumor -0.2
188 Normal -0.2
881 Tumor -0.2
563 Tumor -0.2
342 Normal -0.2
514 Normal -0.2
391 Tumor -0.2
852 Normal -0.2
721 Tumor -0.2
464 Normal -0.2
494 Normal -0.2
975 Tumor -0.2
451 Tumor -0.2
816 Normal -0.2
186 Normal -0.2
918 Normal -0.2
271 Tumor -0.2
162 Normal -0.2
172 Normal -0.2
432 Normal -0.2
954 Normal -0.2
924 Normal -0.3
384 Normal -0.3
686 Normal -0.3
436 Normal -0.3
558 Normal -0.3
125 Tumor -0.3
862 Normal -0.3
444 Normal -0.3
448 Normal -0.3
944 Normal -0.3
1032 Normal -0.3
568 Normal -0.3
191 Tumor -0.3
671 Tumor -0.3
123 Tumor -0.3
357 Tumor -0.3
672 Normal -0.3
953 Tumor -0.3
572 Normal -0.3
642 Normal -0.3
431 Tumor -0.3
142 Normal -0.3
874 Normal -0.3
161 Tumor -0.3
214 Normal -0.3
111 Normal -0.3
1026 Normal -0.3
778 Normal -0.3
976 Normal -0.3
268 Normal -0.3
423 Tumor -0.3
925 Tumor -0.3
866 Normal -0.3
456 Normal -0.3
641 Tumor -0.3
662 Normal -0.3
425 Tumor -0.4
376 Normal -0.4
126 Normal -0.4
145 Tumor -0.4
366 Normal -0.4
858 Normal -0.4
546 Normal -0.4
958 Normal -0.4
148 Normal -0.4
231 Tumor -0.4
867 Tumor -0.4
913 Tumor -0.4
1031 Tumor -0.4
355 Tumor -0.4
636 Normal -0.4
364 Normal -0.4
1022 Normal -0.4
864 Normal -0.4
926 Normal -0.4
488 Normal -0.4
1046 Normal -0.4
952 Normal -0.4
147 Tumor -0.4
491 Tumor -0.4
1045 Tumor -0.4
141 Tumor -0.4
661 Tumor -0.4
211 Tumor -0.4
518 Normal -0.4
362 Normal -0.4
824 Normal -0.4
261 Tumor -0.4
455 Tumor -0.4
722 Normal -0.4
367 Tumor -0.4
297 Tumor -0.4
564 Normal -0.4
428 Normal -0.4
341 Tumor -0.5
714 Normal -0.5
412 Normal -0.5
814 Normal -0.5
482 Normal -0.5
463 Tumor -0.5
1042 Normal -0.5
914 Normal -0.5
477 Tumor -0.5
422 Normal -0.5
312 Normal -0.5
967 Tumor -0.5
328 Normal -0.5
571 Tumor -0.5
351 Tumor -0.5
258 Normal -0.5
474 Normal -0.5
818 Normal -0.5
868 Normal -0.5
567 Tumor -0.5
968 Normal -0.5
756 Normal -0.5
462 Normal -0.5
272 Normal -0.5
884 Normal -0.5
424 Normal -0.5
466 Normal -0.5
525 Tumor -0.5
977 Tumor -0.5
923 Tumor -0.5
921 Tumor -0.5
922 Normal -0.5
723 Tumor -0.5
664 Normal -0.6
114 Normal -0.6
332 Normal -0.6
938 Normal -0.6
878 Normal -0.6
414 Normal -0.6
635 Tumor -0.6
535 Tumor -0.6
912 Normal -0.6
698 Normal -0.6
426 Normal -0.6
137 Tumor -0.6
648 Normal -0.6
356 Normal -0.6
227 Tumor -0.6
136 Normal -0.6
146 Normal -0.6
435 Tumor -0.6
628 Normal -0.6
534 Normal -0.6
128 Normal -0.6
813 Tumor -0.6
877 Tumor -0.6
445 Tumor -0.6
468 Normal -0.6
882 Normal -0.6
232 Normal -0.6
363 Tumor -0.6
957 Tumor -0.6
851 Tumor -0.6
481 Tumor -0.6
728 Normal -0.6
132 Normal -0.6
618 Normal -0.7
472 Normal -0.7
528 Normal -0.7
738 Normal -0.7
277 Tumor -0.7
278 Normal -0.7
411 Tumor -0.7
616 Normal -0.7
138 Normal -0.7
487 Tumor -0.7
484 Normal -0.7
964 Normal -0.7
1027 Tumor -0.7
786 Normal -0.7
744 Normal -0.7
737 Tumor -0.7
1021 Tumor -0.7
331 Tumor -0.7
1013 Tumor -0.8
127 Tumor -0.8
742 Normal -0.8
911 Tumor -0.8
785 Tumor -0.8
465 Tumor -0.8
695 Tumor -0.8
724 Normal -0.8
517 Tumor -0.9
298 Normal -0.9
473 Tumor -0.9
745 Tumor -0.9
513 Tumor -0.9
746 Normal -0.9
741 Tumor -0.9
314 Normal -0.9
863 Tumor -0.9
777 Tumor -1.0
131 Tumor -1.0
951 Tumor -1.0
615 Tumor -1.1
313 Tumor -1.1
627 Tumor -1.2
727 Tumor -1.2
743 Tumor -1.3
965 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 HPA004337
 Staining
  High
  Medium
  Low
  Not detected
 Intensity
  Strong
  Moderate
  Weak
  Negative
 Quantity
  >75%
  75%-25%
  <25%
  None
 Location
  Nuclear
  Cytoplasmic/membranous
  Cytoplasmic/membranous,nuclear
  None
Cholangiocarcinoma
Carcinoma, Hepatocellular, NOS

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The Human Protein Atlas project is funded
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