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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.
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.
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
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.
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.
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
Show allShow less
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
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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.