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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.
GAPDH is validated prognostic, high expression is unfavorable in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
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
2561.9
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
15038.2
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
10893.2
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
10231.1
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
9248.9
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
8884.9
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
7794.2
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
7471.3
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
7304.4
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
6836.1
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
6677.6
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
6585.3
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
6522.1
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
6415.6
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
6306.8
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
6275.6
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
6157.4
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
5676.1
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
5561.0
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
5558.1
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
5493.2
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
5434.9
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
5395.8
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
5368.2
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
5310.2
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
5258.4
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
5207.7
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
5157.6
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
4957.9
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
4896.5
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
4882.6
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
4725.1
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
4701.3
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
4671.6
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
4606.5
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
4590.4
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
4582.1
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
4580.3
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
4509.6
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
4499.9
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
4496.0
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
4421.7
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
4419.9
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
4397.3
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
4356.5
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
4314.2
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
4291.0
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
4248.1
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
4245.4
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
4160.9
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
4132.1
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
4129.0
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
4128.9
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
3977.8
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
3937.4
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
3885.6
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
3844.1
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
3839.8
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
3796.2
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
3784.0
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
3757.9
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
3730.1
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
3714.5
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
3663.7
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
3613.2
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
3611.4
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
3600.2
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
3575.0
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
3549.0
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
3510.1
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
3505.7
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
3484.7
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
3471.7
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
3445.9
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
3423.0
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
3393.1
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
3388.9
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
3387.1
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
3354.6
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
3335.5
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
3324.7
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
3277.7
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
3275.4
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
3246.7
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
3211.6
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
3136.6
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
3135.1
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
3126.3
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
3106.1
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
3100.2
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
3065.4
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
3060.6
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
3035.0
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
3024.1
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
3013.7
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
2989.9
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
2987.7
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
2986.1
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
2973.3
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
2969.1
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
2921.6
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
2914.5
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
2912.7
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
2897.8
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
2892.5
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
2880.2
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
2878.5
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
2861.0
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
2852.8
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
2851.3
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
2814.6
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
2782.0
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
2781.2
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
2774.7
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
2759.7
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
2737.0
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
2729.5
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
2727.6
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
2726.8
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
2724.4
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
2718.9
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
2717.3
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
2687.1
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
2627.4
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
2584.4
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
2570.4
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
2562.4
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
2561.0
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
2559.4
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
2557.7
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
2556.6
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
2549.9
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
2540.3
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
2514.6
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
2514.5
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
2511.5
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
2508.4
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
2505.8
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
2505.7
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
2466.6
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
2461.5
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
2442.4
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
2436.6
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
2435.7
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
2404.6
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
2385.8
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
2362.8
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
2348.3
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
2330.2
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
2327.8
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
2325.1
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
2321.0
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
2317.9
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
2307.7
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
2283.8
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
2271.3
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
2268.8
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
2241.2
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
2236.6
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
2235.3
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
2233.3
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
2224.5
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
2224.0
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
2208.5
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
2201.0
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
2190.5
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
2190.2
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
2178.5
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
2163.4
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
2157.8
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
2132.7
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
2128.8
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
2118.6
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
2116.9
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
2102.3
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
2097.5
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
2096.8
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
2088.0
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
2060.4
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
2060.0
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
2055.5
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
2047.8
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
2043.6
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
2038.2
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
2032.6
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
2025.5
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
2017.6
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
2016.2
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
2014.3
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
2010.9
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
2001.5
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
1999.2
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
1984.1
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
1968.6
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
1968.3
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
1962.6
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
1956.2
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
1952.4
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
1949.0
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
1947.4
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1946.8
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
1946.4
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
1940.6
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
1940.0
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
1934.5
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
1929.0
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
1903.0
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
1895.4
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
1894.8
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
1890.5
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
1889.4
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
1887.2
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
1874.1
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
1868.7
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
1865.6
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
1860.9
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
1850.4
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
1848.5
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
1843.9
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
1841.7
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
1835.0
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
1834.0
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
1833.0
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
1828.2
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
1797.9
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
1791.0
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
1785.5
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
1776.6
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
1773.6
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
1767.0
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
1761.2
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
1758.2
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
1746.5
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
1741.3
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
1739.4
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
1738.4
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
1737.5
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
1730.3
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1727.2
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
1724.7
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
1722.8
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
1722.4
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
1717.7
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
1717.0
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
1686.1
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
1685.1
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
1670.3
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
1652.3
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
1649.6
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
1640.3
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1637.3
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
1621.1
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
1606.2
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
1599.9
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
1586.6
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
1585.9
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
1580.3
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
1564.2
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
1563.7
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
1554.4
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
1550.1
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
1543.7
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
1537.5
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
1533.8
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
1531.7
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
1530.8
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
1527.0
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
1504.7
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
1504.1
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
1502.1
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
1500.5
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
1496.2
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
1493.6
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
1480.0
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1472.4
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
1470.9
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
1463.4
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
1463.4
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
1461.2
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
1440.7
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
1435.1
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
1434.7
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
1431.8
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
1410.5
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
1405.2
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
1404.1
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
1399.6
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
1395.6
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
1392.7
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
1380.3
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
1374.2
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
1371.7
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
1360.1
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
1352.8
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
1348.8
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
1344.7
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
1338.8
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
1334.4
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
1334.0
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
1320.9
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1313.9
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
1312.1
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
1308.8
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
1301.2
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
1294.1
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
1292.8
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
1289.5
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1288.8
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
1287.3
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
1284.9
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
1282.2
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
1280.9
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
1237.5
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
1233.5
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
1232.4
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
1232.3
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
1226.3
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
1224.9
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
1223.1
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
1219.2
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
1197.9
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
1187.1
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
1178.3
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
1176.5
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
1172.1
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
1165.9
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
1165.2
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
1158.5
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
1153.6
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
1139.0
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1130.5
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
1128.0
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
1126.2
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
1114.7
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
1097.1
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
1087.0
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
1083.3
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
1065.1
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
1053.9
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
1043.0
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
1030.6
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
1004.6
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
963.6
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
925.2
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
916.9
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
914.5
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
913.4
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
913.0
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
911.8
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
895.2
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
855.5
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
836.3
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
820.4
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
818.6
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
806.0
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
803.7
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
749.1
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
678.4
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
661.7
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
643.6
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
581.6
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
581.2
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 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.
GAPDH is validated prognostic, high expression is unfavorable 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
3104.0
Number of samples
231
Samples
Sample
Description
pTPM
DO45245
75 years, female, NA, stage:2, dead, 240 days
28594.8
DO45211
76 years, male, NA, stage:3, alive, 240 days
14753.7
DO23519
65 years, male, NA, stage:3, alive, 630 days
12496.3
DO45285
59 years, male, NA, stage:3, alive, 480 days
12213.0
DO48747
62 years, male, NA, stage:3, alive, 540 days
11306.1
DO45289
78 years, female, NA, stage:3, alive, 360 days
9994.0
DO45307
54 years, female, NA, stage:4, dead, 240 days
9223.4
DO45299
70 years, female, NA, stage:1, alive, 1440 days
8322.6
DO48682
72 years, female, NA, stage:3, dead, 120 days
8087.8
DO45145
78 years, male, NA, stage:3, dead, 60 days
8008.3
DO50829
78 years, male, NA, stage:3, alive, 570 days
7186.2
DO45303
62 years, female, NA, stage:3, alive, 990 days
6668.3
DO48741
64 years, male, NA, stage:3, alive, 240 days
6636.1
DO48717
54 years, male, NA, stage:4, dead, 180 days
6579.9
DO48723
73 years, male, NA, stage:1, alive, 600 days
6509.6
DO45305
66 years, male, NA, stage:4, alive, 300 days
6420.0
DO45297
61 years, female, NA, stage:4, dead, 1260 days
6318.2
DO45267
73 years, male, NA, stage:3, dead, 570 days
6277.4
DO45175
74 years, male, NA, stage:2, alive, 1140 days
5733.4
DO48704
68 years, female, NA, stage:3, alive, 750 days
5709.3
DO23537
79 years, male, NA, stage:2, dead, 900 days
5657.8
DO50791
79 years, female, NA, stage:1, dead, 480 days
5495.4
DO45185
89 years, male, NA, stage:2, alive, 600 days
5180.0
DO45301
56 years, male, NA, stage:2, dead, 1440 days
5125.8
DO48695
77 years, male, NA, stage:2, alive, 720 days
5077.4
DO50806
70 years, male, NA, stage:4, alive, 540 days
5052.3
DO23542
66 years, male, NA, stage:3, alive, 960 days
5038.1
DO45093
71 years, male, NA, stage:2, dead, 720 days
5006.9
DO45259
65 years, male, NA, stage:3, alive, 330 days
5003.1
DO45277
64 years, male, NA, stage:3, alive, 600 days
4969.5
DO23549
74 years, male, NA, stage:3, alive, 990 days
4968.4
DO50798
77 years, male, NA, stage:3, dead, 30 days
4940.7
DO23526
66 years, male, NA, stage:3, alive, 1050 days
4861.9
DO50815
62 years, male, NA, stage:3, alive, 150 days
4661.1
DO45231
84 years, male, NA, stage:2, alive, 930 days
4644.9
DO48737
52 years, male, NA, stage:1, alive, 720 days
4356.0
DO45235
68 years, female, NA, stage:1, alive, 900 days
4285.8
DO23539
77 years, male, NA, stage:1, alive, 1110 days
4260.1
DO23545
67 years, male, NA, stage:2, dead, 570 days
4191.9
DO23511
83 years, female, NA, stage:3, dead, 180 days
4182.4
DO23508
79 years, female, NA, stage:2, alive, 390 days
4171.7
DO45127
73 years, male, NA, stage:3, dead, 420 days
4115.6
DO45221
75 years, female, NA, stage:4, dead, 390 days
4069.7
DO45092
62 years, male, NA, stage:4, dead, 1200 days
4050.0
DO23515
71 years, male, NA, stage:2, alive, 1230 days
4040.8
DO50778
60 years, male, NA, stage:4, alive, 630 days
4016.3
DO45203
71 years, female, NA, stage:2, alive, 1170 days
3985.4
DO23524
71 years, female, NA, stage:2, alive, 1050 days
3960.3
DO50819
72 years, female, NA, stage:2, alive, 510 days
3883.0
DO50809
56 years, male, NA, stage:3, dead, 720 days
3881.7
DO45205
67 years, female, NA, stage:2, dead, 90 days
3863.7
DO45161
74 years, male, NA, stage:2, dead, 540 days
3812.0
DO23513
76 years, male, NA, stage:3, alive, 1200 days
3728.4
DO23509
60 years, male, NA, stage:3, dead, 780 days
3692.7
DO48697
64 years, female, NA, stage:2, dead, 810 days
3659.6
DO45255
81 years, male, NA, stage:3, alive, 720 days
3600.2
DO50799
66 years, female, NA, stage:2, alive, 540 days
3578.9
DO50822
66 years, male, NA, stage:2, alive, 510 days
3543.8
DO23547
74 years, male, NA, stage:1, alive, 1020 days
3520.8
DO45123
78 years, female, NA, stage:2, dead, 570 days
3508.6
DO45217
69 years, female, NA, stage:3, dead, 270 days
3496.0
DO45251
57 years, female, NA, stage:2, alive, 900 days
3482.7
DO45283
60 years, male, NA, stage:3, alive, 510 days
3431.4
DO45189
85 years, female, NA, stage:2, alive, 1200 days
3414.0
DO48712
50 years, male, NA, stage:2, alive, 810 days
3399.9
DO45193
68 years, female, NA, stage:4, dead, 120 days
3386.2
DO45275
65 years, male, NA, stage:3, dead, 10 days
3263.3
DO45281
83 years, male, NA, stage:4, alive, 750 days
3257.9
DO45213
58 years, male, NA, stage:1, alive, 1200 days
3256.6
DO45279
67 years, male, NA, stage:3, alive, 1290 days
3233.3
DO45269
59 years, male, NA, stage:3, alive, 750 days
3194.7
DO45139
63 years, male, NA, stage:3, alive, 1320 days
3193.9
DO45257
46 years, male, NA, stage:3, alive, 810 days
3178.8
DO48757
68 years, female, NA, stage:3, alive, 480 days
3172.1
DO45287
74 years, male, NA, stage:1, alive, 390 days
3154.3
DO23514
64 years, male, NA, stage:2, alive, 1290 days
3135.8
DO48720
62 years, female, NA, stage:2, alive, 570 days
3121.4
DO45157
62 years, male, NA, stage:2, alive, 1980 days
3112.5
DO50844
75 years, male, NA, stage:4, alive, 300 days
3102.2
DO48719
80 years, male, NA, stage:2, alive, 690 days
3085.1
DO45117
73 years, female, NA, stage:2, dead, 1110 days
3076.9
DO48759
73 years, male, NA, stage:3, alive, 720 days
3048.2
DO23525
71 years, male, NA, stage:4, alive, 1050 days
3047.1
DO45119
74 years, male, NA, stage:3, dead, 510 days
2976.5
DO45131
53 years, male, NA, stage:4, dead, 360 days
2967.9
DO48681
57 years, male, NA, stage:2, alive, 900 days
2962.5
DO45163
76 years, male, NA, stage:2, alive, 960 days
2950.3
DO50857
72 years, male, NA, stage:2, alive, 210 days
2945.2
DO45129
61 years, male, NA, stage:3, alive, 1470 days
2936.8
DO45105
61 years, male, NA, stage:1, alive, 1680 days
2926.4
DO48716
71 years, male, NA, stage:2, alive, 720 days
2914.5
DO45237
58 years, male, NA, stage:2, alive, 900 days
2905.4
DO45197
51 years, male, NA, stage:2, alive, 1170 days
2877.3
DO23533
61 years, male, NA, stage:2, alive, 900 days
2869.9
DO23546
63 years, male, NA, stage:2, alive, 1050 days
2838.8
DO50805
72 years, male, NA, stage:2, alive, 690 days
2815.3
DO45121
61 years, male, NA, stage:3, alive, 1530 days
2810.2
DO48693
71 years, male, NA, stage:2, alive, 900 days
2766.1
DO45135
77 years, male, NA, stage:1, alive, 1410 days
2734.4
DO45091
56 years, male, NA, stage:2, dead, 1320 days
2727.0
DO50785
37 years, male, NA, stage:4, dead, 90 days
2718.8
DO45171
56 years, male, NA, stage:3, alive, 600 days
2680.3
DO23530
53 years, male, NA, stage:4, dead, 180 days
2667.3
DO50839
47 years, female, NA, stage:3, alive, 330 days
2629.4
DO45165
75 years, male, NA, stage:2, alive, 690 days
2620.9
DO50825
70 years, male, NA, stage:2, alive, 390 days
2606.7
DO50800
74 years, male, NA, stage:2, alive, 510 days
2586.4
DO45249
57 years, male, NA, stage:1, alive, 630 days
2576.7
DO50802
49 years, male, NA, stage:2, alive, 930 days
2525.0
DO48730
73 years, female, NA, stage:2, alive, 630 days
2518.2
DO45241
49 years, male, NA, stage:1, alive, 1080 days
2503.8
DO45169
74 years, male, NA, stage:3, alive, 1350 days
2501.3
DO23521
63 years, male, NA, stage:3, alive, 1110 days
2484.9
DO45141
73 years, male, NA, stage:2, alive, 1320 days
2484.5
DO48751
68 years, male, NA, stage:2, dead, 480 days
2481.6
DO50787
63 years, male, NA, stage:3, alive, 480 days
2475.5
DO48679
72 years, male, NA, stage:2, alive, 1200 days
2387.5
DO45253
50 years, male, NA, stage:2, alive, 870 days
2387.5
DO48715
58 years, female, NA, stage:2, dead, 690 days
2353.3
DO45155
69 years, male, NA, stage:2, alive, 2160 days
2345.4
DO23541
65 years, male, NA, stage:2, alive, 930 days
2319.2
DO45273
62 years, male, NA, stage:2, alive, 480 days
2316.4
DO45095
66 years, male, NA, stage:2, alive, 1620 days
2308.8
DO23510
80 years, female, NA, stage:2, alive, 870 days
2296.6
DO45103
47 years, male, NA, stage:3, alive, 450 days
2293.2
DO48701
78 years, male, NA, stage:2, alive, 780 days
2283.6
DO50793
76 years, male, NA, stage:4, alive, 540 days
2281.7
DO50789
73 years, female, NA, stage:2, alive, 570 days
2280.6
DO45209
70 years, male, NA, stage:4, alive, 1350 days
2276.3
DO48728
74 years, female, NA, stage:2, alive, 150 days
2260.8
DO50776
75 years, male, NA, stage:1, alive, 690 days
2255.5
DO45227
57 years, female, NA, stage:2, alive, 1020 days
2254.0
DO50774
68 years, female, NA, stage:2, alive, 720 days
2225.0
DO45191
61 years, female, NA, stage:2, alive, 1200 days
2222.6
DO23523
52 years, male, NA, stage:3, alive, 1080 days
2219.8
DO45187
32 years, female, NA, stage:1, alive, 1260 days
2178.3
DO48743
69 years, female, NA, stage:2, alive, 570 days
2162.3
DO48672
81 years, male, NA, stage:2, alive, 450 days
2154.4
DO45115
81 years, male, NA, stage:2, alive, 840 days
2135.9
DO23529
72 years, male, NA, stage:4, alive, 930 days
2128.7
DO45159
65 years, male, NA, stage:3, alive, 1470 days
2119.6
DO23535
67 years, male, NA, stage:1, alive, 960 days
2104.6
DO45183
72 years, female, NA, stage:2, dead, 570 days
2103.7
DO50820
77 years, female, NA, stage:3, alive, 510 days
2099.4
DO45265
73 years, male, NA, stage:3, alive, 1020 days
2065.4
DO23518
67 years, male, NA, stage:2, alive, 1320 days
2057.9
DO45167
67 years, male, NA, stage:2, dead, 1440 days
2052.2
DO50859
77 years, male, NA, stage:2, alive, 180 days
2032.8
DO48760
70 years, female, NA, stage:2, alive, 690 days
2025.1
DO45137
38 years, male, NA, stage:1, alive, 1320 days
2017.0
DO45239
42 years, male, NA, stage:2, alive, 870 days
2013.3
DO23548
78 years, female, NA, stage:1, alive, 840 days
1999.5
DO23534
60 years, male, NA, stage:2, alive, 840 days
1997.6
DO50840
49 years, male, NA, stage:2, alive, 330 days
1979.2
DO50813
56 years, male, NA, stage:2, alive, 420 days
1977.1
DO23550
69 years, male, NA, stage:1, alive, 990 days
1975.5
DO50845
72 years, male, NA, stage:3, alive, 210 days
1967.3
DO48732
73 years, male, NA, stage:3, alive, 630 days
1954.9
DO45177
81 years, female, NA, stage:3, alive, 1260 days
1951.5
DO50850
74 years, male, NA, stage:3, alive, 720 days
1919.1
DO48706
72 years, male, NA, stage:2, alive, 870 days
1910.9
DO45113
58 years, male, NA, stage:3, alive, 1560 days
1910.5
DO45096
69 years, male, NA, stage:2, dead, 1290 days
1905.7
DO45153
77 years, female, NA, stage:2, alive, 1380 days
1868.0
DO50808
68 years, male, NA, stage:2, alive, 570 days
1853.9
DO45099
46 years, male, NA, stage:3, alive, 1590 days
1834.9
DO50855
47 years, male, NA, stage:2, alive, 570 days
1817.2
DO45111
74 years, male, NA, stage:2, alive, 1590 days
1812.9
DO45109
63 years, male, NA, stage:2, alive, 1590 days
1808.3
DO45133
64 years, male, NA, stage:3, dead, 660 days
1800.1
DO23540
73 years, male, NA, stage:1, alive, 750 days
1768.9
DO23538
67 years, male, NA, stage:2, alive, 450 days
1758.1
DO45261
74 years, male, NA, stage:3, alive, 990 days
1745.1
DO48736
76 years, female, NA, stage:1, alive, 600 days
1741.2
DO45179
78 years, female, NA, stage:2, alive, 600 days
1726.1
DO45225
69 years, male, NA, stage:1, alive, 1050 days
1708.7
DO48725
66 years, male, NA, stage:1, alive, 780 days
1705.7
DO45201
49 years, male, NA, stage:1, alive, 900 days
1702.0
DO23552
80 years, female, NA, stage:1, alive, 810 days
1693.4
DO45101
63 years, male, NA, stage:2, alive, 1680 days
1667.8
DO45207
68 years, male, NA, stage:1, alive, 1050 days
1663.4
DO48742
76 years, male, NA, stage:2, alive, 600 days
1657.0
DO48700
78 years, female, NA, stage:2, alive, 810 days
1651.9
DO23527
72 years, male, NA, stage:1, alive, 1050 days
1638.7
DO45219
78 years, male, NA, stage:2, alive, 1080 days
1630.5
DO23543
63 years, male, NA, stage:2, alive, 1020 days
1552.4
DO45263
67 years, male, NA, stage:3, dead, 270 days
1535.8
DO45097
69 years, male, NA, stage:3, alive, 1620 days
1534.5
DO45195
62 years, male, NA, stage:1, alive, 390 days
1525.4
DO23528
45 years, female, NA, stage:2, alive, 1020 days
1518.0
DO23536
56 years, male, NA, stage:2, alive, 930 days
1463.9
DO50803
62 years, female, NA, stage:1, alive, 540 days
1409.2
DO45094
76 years, male, NA, stage:3, alive, 1650 days
1403.0
DO45149
70 years, female, NA, stage:2, alive, 1260 days
1401.1
DO45107
63 years, female, NA, stage:2, alive, 1710 days
1397.5
DO48733
72 years, male, NA, stage:2, alive, 600 days
1384.4
DO227801
77 years, female, NA, stage:1, alive, 660 days
1376.8
DO50816
63 years, male, NA, stage:2, alive, 390 days
1370.0
DO45243
74 years, female, NA, stage:3, alive, 930 days
1351.3
DO23516
69 years, male, NA, stage:3, dead, 20 days
1306.9
DO48727
81 years, female, NA, stage:2, dead, 390 days
1301.8
DO45229
74 years, male, NA, stage:1, alive, 990 days
1300.2
DO45143
69 years, male, NA, stage:3, alive, 1290 days
1279.6
DO23531
78 years, female, NA, stage:3, alive, 900 days
1278.4
DO23551
73 years, male, NA, stage:3, dead, 150 days
1274.7
DO45173
63 years, male, NA, stage:3, alive, 1170 days
1261.4
DO50783
62 years, male, NA, stage:3, alive, 480 days
1253.7
DO45199
86 years, female, NA, stage:2, alive, 1350 days
1233.6
DO45181
84 years, female, NA, stage:2, alive, 1200 days
1226.6
DO45223
67 years, male, NA, stage:4, alive, 1020 days
1220.7
DO50811
62 years, male, NA, stage:1, alive, 450 days
1219.5
DO50832
73 years, male, NA, stage:3, alive, 90 days
1191.4
DO48721
58 years, female, NA, stage:1, alive, 900 days
1168.7
DO50804
81 years, male, NA, stage:2, alive, 720 days
1154.7
DO23512
60 years, male, NA, stage:1, alive, 1260 days
1147.3
DO227643
79 years, male, NA, stage:2, alive, 1260 days
1136.2
DO45233
83 years, male, NA, stage:3, alive, 900 days
1092.8
DO48761
55 years, male, NA, stage:2, alive, 870 days
1076.6
DO50814
83 years, male, NA, stage:3, alive, 420 days
992.4
DO48674
80 years, male, NA, stage:2, alive, 1260 days
976.7
DO45247
31 years, female, NA, stage:2, alive, 210 days
961.2
DO45215
65 years, male, NA, stage:2, alive, 1170 days
960.8
DO45125
58 years, male, NA, stage:3, alive, 1680 days
944.7
DO48677
58 years, male, NA, stage:3, alive, 1140 days
932.8
DO50818
65 years, male, NA, stage:2, alive, 510 days
799.3
DO23517
62 years, male, NA, stage:2, alive, 1200 days
736.7
DO23532
71 years, female, NA, stage:1, alive, 960 days
671.3
DO50817
75 years, male, NA, stage:2, alive, 390 days
552.9
DO23544
67 years, male, NA, stage:2, alive, 960 days
543.6
DO50807
67 years, male, NA, stage:1, alive, 540 days
505.5
DO48746
76 years, male, NA, stage:3, alive, 570 days
468.5
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
981
Tumor
0.6
745
Tumor
0.6
573
Tumor
0.5
571
Tumor
0.5
527
Tumor
0.5
635
Tumor
0.5
327
Tumor
0.4
513
Tumor
0.4
313
Tumor
0.4
756
Normal
0.4
393
Tumor
0.4
375
Tumor
0.4
697
Tumor
0.3
387
Tumor
0.3
786
Normal
0.3
162
Normal
0.3
436
Normal
0.3
663
Tumor
0.3
824
Normal
0.3
567
Tumor
0.3
777
Tumor
0.3
394
Normal
0.3
851
Tumor
0.3
414
Normal
0.3
411
Tumor
0.3
428
Normal
0.3
723
Tumor
0.3
514
Normal
0.3
364
Normal
0.3
257
Tumor
0.3
755
Tumor
0.3
713
Tumor
0.3
286
Normal
0.2
957
Tumor
0.2
528
Normal
0.2
884
Normal
0.2
742
Normal
0.2
983
Tumor
0.2
912
Normal
0.2
212
Normal
0.2
862
Normal
0.2
416
Normal
0.2
868
Normal
0.2
361
Tumor
0.2
858
Normal
0.2
1042
Normal
0.2
978
Normal
0.2
1043
Tumor
0.2
172
Normal
0.2
482
Normal
0.2
227
Tumor
0.2
518
Normal
0.2
312
Normal
0.2
328
Normal
0.2
424
Normal
0.2
472
Normal
0.2
924
Normal
0.2
128
Normal
0.2
462
Normal
0.2
714
Normal
0.2
1013
Tumor
0.2
432
Normal
0.2
778
Normal
0.2
648
Normal
0.2
982
Normal
0.2
616
Normal
0.2
746
Normal
0.2
727
Tumor
0.2
877
Tumor
0.2
944
Normal
0.2
926
Normal
0.2
464
Normal
0.2
526
Normal
0.2
386
Normal
0.2
922
Normal
0.2
1026
Normal
0.2
435
Tumor
0.2
353
Tumor
0.2
136
Normal
0.2
923
Tumor
0.2
396
Normal
0.2
815
Tumor
0.2
1044
Normal
0.2
446
Normal
0.2
358
Normal
0.2
111
Normal
0.2
615
Tumor
0.2
196
Normal
0.2
218
Normal
0.1
484
Normal
0.1
1016
Normal
0.1
716
Normal
0.1
968
Normal
0.1
392
Normal
0.1
145
Tumor
0.1
866
Normal
0.1
466
Normal
0.1
918
Normal
0.1
864
Normal
0.1
188
Normal
0.1
278
Normal
0.1
1046
Normal
0.1
1014
Normal
0.1
258
Normal
0.1
914
Normal
0.1
356
Normal
0.1
376
Normal
0.1
228
Normal
0.1
568
Normal
0.1
664
Normal
0.1
272
Normal
0.1
362
Normal
0.1
722
Normal
0.1
976
Normal
0.1
114
Normal
0.1
388
Normal
0.1
558
Normal
0.1
728
Normal
0.1
686
Normal
0.1
738
Normal
0.1
314
Normal
0.1
222
Normal
0.1
813
Tumor
0.1
938
Normal
0.1
666
Normal
0.1
685
Tumor
0.1
952
Normal
0.1
662
Normal
0.1
984
Normal
0.1
882
Normal
0.1
351
Tumor
0.1
1022
Normal
0.1
448
Normal
0.1
698
Normal
0.1
147
Tumor
0.1
964
Normal
0.1
148
Normal
0.1
284
Normal
0.1
132
Normal
0.1
354
Normal
0.1
311
Tumor
0.1
195
Tumor
0.1
916
Normal
0.1
355
Tumor
0.1
636
Normal
0.1
192
Normal
0.1
125
Tumor
0.1
874
Normal
0.1
1045
Tumor
0.1
958
Normal
0.1
186
Normal
0.1
422
Normal
0.1
546
Normal
0.1
516
Normal
0.1
452
Normal
0.1
138
Normal
0.1
628
Normal
0.1
816
Normal
0.1
696
Normal
0.1
146
Normal
0.1
1027
Tumor
0.1
126
Normal
0.1
1032
Normal
0.1
298
Normal
0.0
537
Tumor
0.0
344
Normal
0.0
342
Normal
0.0
494
Normal
0.0
488
Normal
0.0
642
Normal
0.0
818
Normal
0.0
1028
Normal
0.0
113
Tumor
0.0
285
Tumor
0.0
426
Normal
0.0
391
Tumor
0.0
534
Normal
0.0
474
Normal
0.0
523
Tumor
0.0
217
Tumor
0.0
262
Normal
0.0
468
Normal
0.0
352
Normal
0.0
572
Normal
0.0
1025
Tumor
0.0
956
Normal
0.0
214
Normal
0.0
366
Normal
0.0
368
Normal
0.0
456
Normal
0.0
954
Normal
0.0
332
Normal
0.0
224
Normal
0.0
852
Normal
0.0
917
Tumor
0.0
743
Tumor
0.0
564
Normal
0.0
444
Normal
0.0
232
Normal
0.0
665
Tumor
0.0
785
Tumor
0.0
412
Normal
0.0
465
Tumor
0.0
367
Tumor
0.0
618
Normal
0.0
357
Tumor
-0.1
524
Normal
-0.1
283
Tumor
-0.1
967
Tumor
-0.1
131
Tumor
-0.1
574
Normal
-0.1
127
Tumor
-0.1
963
Tumor
-0.1
434
Normal
-0.1
538
Normal
-0.1
937
Tumor
-0.1
385
Tumor
-0.1
384
Normal
-0.1
966
Normal
-0.1
661
Tumor
-0.1
365
Tumor
-0.1
478
Normal
-0.1
498
Normal
-0.1
383
Tumor
-0.1
268
Normal
-0.1
423
Tumor
-0.1
865
Tumor
-0.1
481
Tumor
-0.1
672
Normal
-0.1
223
Tumor
-0.1
915
Tumor
-0.1
873
Tumor
-0.1
124
Normal
-0.1
536
Normal
-0.1
395
Tumor
-0.1
554
Normal
-0.2
878
Normal
-0.2
135
Tumor
-0.2
213
Tumor
-0.2
515
Tumor
-0.2
955
Tumor
-0.2
455
Tumor
-0.2
142
Normal
-0.2
857
Tumor
-0.2
525
Tumor
-0.2
695
Tumor
-0.2
545
Tumor
-0.2
343
Tumor
-0.2
911
Tumor
-0.2
277
Tumor
-0.2
267
Tumor
-0.2
477
Tumor
-0.2
137
Tumor
-0.2
744
Normal
-0.2
814
Normal
-0.2
191
Tumor
-0.2
443
Tumor
-0.2
461
Tumor
-0.2
953
Tumor
-0.2
721
Tumor
-0.2
737
Tumor
-0.2
492
Normal
-0.2
617
Tumor
-0.2
483
Tumor
-0.2
1021
Tumor
-0.2
187
Tumor
-0.3
467
Tumor
-0.3
185
Tumor
-0.3
741
Tumor
-0.3
415
Tumor
-0.3
363
Tumor
-0.3
421
Tumor
-0.3
647
Tumor
-0.3
261
Tumor
-0.3
563
Tumor
-0.3
951
Tumor
-0.3
557
Tumor
-0.3
331
Tumor
-0.3
297
Tumor
-0.3
627
Tumor
-0.3
211
Tumor
-0.3
724
Normal
-0.3
965
Tumor
-0.3
427
Tumor
-0.3
493
Tumor
-0.3
715
Tumor
-0.3
1041
Tumor
-0.3
517
Tumor
-0.4
671
Tumor
-0.4
823
Tumor
-0.4
491
Tumor
-0.4
161
Tumor
-0.4
867
Tumor
-0.4
413
Tumor
-0.4
231
Tumor
-0.4
447
Tumor
-0.4
431
Tumor
-0.4
861
Tumor
-0.4
171
Tumor
-0.4
1015
Tumor
-0.4
433
Tumor
-0.4
141
Tumor
-0.4
271
Tumor
-0.4
883
Tumor
-0.4
553
Tumor
-0.4
451
Tumor
-0.4
925
Tumor
-0.5
881
Tumor
-0.5
425
Tumor
-0.5
943
Tumor
-0.5
975
Tumor
-0.5
445
Tumor
-0.5
112
Tumor
-0.5
463
Tumor
-0.5
535
Tumor
-0.5
341
Tumor
-0.5
497
Tumor
-0.6
221
Tumor
-0.6
913
Tumor
-0.6
533
Tumor
-0.6
863
Tumor
-0.6
471
Tumor
-0.7
817
Tumor
-0.7
123
Tumor
-0.7
641
Tumor
-0.8
921
Tumor
-0.8
1031
Tumor
-0.8
977
Tumor
-0.8
487
Tumor
-0.8
473
Tumor
-0.9
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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.
The Human Protein Atlas project is funded
