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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.
: 1.63
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.0000024
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.
35%
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.
60%
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 TPM
2162.4
Number of samples
362
Samples
Sample
Description
TPM
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
12489.4
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
9367.8
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
8577.8
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
7646.5
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
7585.8
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
6263.2
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
6119.0
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
5901.0
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
5690.1
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
5574.6
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
5476.7
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
5409.4
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
5257.6
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
5208.4
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
5135.8
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
4706.1
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
4671.8
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
4660.2
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
4612.9
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
4606.6
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
4591.6
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
4569.0
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
4552.2
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
4487.0
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
4398.3
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
4311.7
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
4225.9
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
4163.1
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
4115.8
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
4028.1
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
3949.5
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
3938.3
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
3931.5
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
3894.0
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
3856.7
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
3845.0
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
3837.3
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
3798.8
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
3782.3
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
3777.8
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
3733.7
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
3731.8
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
3647.8
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
3634.9
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
3628.5
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
3594.5
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
3552.6
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
3542.4
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
3539.0
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
3530.5
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
3489.4
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
3462.2
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
3406.1
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
3387.8
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
3379.7
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
3359.1
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
3317.3
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
3285.7
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
3248.9
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
3236.9
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
3146.0
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
3143.7
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
3066.1
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
3064.6
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
3064.1
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
3054.0
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
3038.6
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
3013.9
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
2991.7
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
2958.3
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
2943.8
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
2923.0
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
2911.8
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
2875.7
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
2868.9
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
2854.1
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
2836.7
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
2813.6
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
2798.9
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
2752.1
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
2709.1
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
2664.4
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
2656.3
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
2649.6
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
2649.3
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
2643.1
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
2621.7
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
2605.0
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
2604.3
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
2590.7
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
2589.1
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
2588.9
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
2587.2
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
2565.2
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
2564.0
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
2546.4
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
2538.9
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
2519.5
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
2519.1
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
2505.9
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
2504.0
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
2479.9
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
2470.9
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
2469.0
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
2432.0
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
2423.1
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
2418.7
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
2410.6
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
2404.6
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
2400.1
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
2389.8
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
2389.0
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
2379.0
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
2344.1
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
2340.2
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
2331.0
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
2330.7
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
2325.2
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
2312.7
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
2311.9
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
2256.7
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
2233.6
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
2223.2
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
2215.4
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
2204.8
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
2201.5
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
2200.4
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
2191.4
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
2179.0
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
2164.9
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
2164.4
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
2151.3
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
2147.0
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
2145.5
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
2096.0
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
2076.9
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
2074.9
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
2064.8
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
2060.3
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
2057.4
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
2044.0
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
2032.1
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
2018.1
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
2008.4
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
2003.0
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
1983.9
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
1979.8
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
1971.8
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
1962.4
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
1957.2
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
1955.5
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
1954.0
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
1940.3
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
1937.3
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
1934.6
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
1903.8
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
1899.5
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
1898.7
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
1891.9
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
1891.4
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
1884.8
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
1879.4
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
1873.1
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
1865.6
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
1858.2
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
1842.3
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
1831.4
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1824.9
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
1824.7
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
1805.5
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
1803.3
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
1799.1
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
1797.7
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
1797.4
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
1794.4
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
1790.2
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
1776.9
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
1771.6
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
1764.3
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
1758.1
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
1756.9
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
1749.2
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
1741.8
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
1741.6
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
1732.7
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
1711.2
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
1710.4
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
1690.4
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
1686.3
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
1685.4
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
1685.0
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
1675.4
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
1670.2
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
1655.7
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
1649.1
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
1647.8
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
1641.8
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
1637.7
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
1634.9
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1632.5
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
1626.5
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
1623.2
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
1622.1
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
1619.1
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
1618.7
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
1617.8
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
1612.5
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
1612.1
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
1610.6
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
1608.8
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
1606.5
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
1594.4
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
1592.5
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
1592.0
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
1591.8
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
1585.9
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
1555.1
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
1550.1
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
1548.7
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
1546.7
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
1528.6
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
1527.8
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
1526.6
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
1526.5
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
1524.8
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
1522.8
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
1521.3
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
1520.3
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
1518.5
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
1518.0
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
1516.7
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
1508.2
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
1496.3
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
1489.9
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
1481.1
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
1480.7
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
1479.1
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
1474.3
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
1473.8
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
1461.9
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
1459.9
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
1445.5
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
1442.5
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
1440.7
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
1436.3
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
1417.1
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
1416.4
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
1406.1
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1398.4
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
1396.9
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
1395.5
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1393.3
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
1382.7
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
1375.3
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
1359.9
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
1345.5
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
1344.6
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
1334.7
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
1328.2
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
1326.5
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
1306.3
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
1302.5
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
1300.9
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
1299.7
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
1297.7
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
1296.2
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
1293.6
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
1282.0
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
1281.7
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
1278.9
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
1271.1
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
1267.8
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
1252.0
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
1250.8
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
1248.1
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1247.4
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
1235.2
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
1234.1
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
1230.7
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
1222.5
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
1215.3
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
1213.2
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
1207.7
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
1204.1
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
1198.2
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
1188.1
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
1186.3
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
1176.2
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
1167.7
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
1167.1
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
1153.5
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
1153.2
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
1152.8
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
1151.4
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
1147.6
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
1146.9
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
1138.4
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
1133.3
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
1127.6
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
1126.8
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
1121.1
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
1119.8
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
1119.6
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1116.6
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
1114.0
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
1109.4
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
1109.0
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1106.4
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
1104.5
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
1104.0
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
1097.3
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
1092.5
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
1087.0
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
1077.1
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
1064.2
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
1062.8
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
1058.9
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
1046.6
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
1042.0
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
1037.5
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
1030.9
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
1022.7
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
1008.4
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
1006.1
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
997.1
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
993.5
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
988.6
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
980.3
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
972.4
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
962.8
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
961.9
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
950.5
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
948.3
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
947.6
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
929.7
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
918.5
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
915.6
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
893.3
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
879.5
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
872.1
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
861.5
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
815.9
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
813.6
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
800.5
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
789.6
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
784.8
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
781.4
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
773.2
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
761.3
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
729.3
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
719.6
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
715.3
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
689.4
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
687.9
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
676.0
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
646.7
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
600.1
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
574.7
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
571.2
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
514.0
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
494.5
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.
: 2.14
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
2.1e-10
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.
0%
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.
80%
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 TPM
1824.9
Number of samples
231
Samples
Sample
Description
TPM
DO45245
75 years, female, NA, stage:2, dead, 240 days
13746.7
DO45211
76 years, male, NA, stage:3, alive, 240 days
9083.7
DO45285
59 years, male, NA, stage:3, alive, 480 days
8850.3
DO23519
65 years, male, NA, stage:3, alive, 630 days
8421.1
DO48747
62 years, male, NA, stage:3, alive, 540 days
7127.8
DO45289
78 years, female, NA, stage:3, alive, 360 days
6316.0
DO45307
54 years, female, NA, stage:4, dead, 240 days
5489.8
DO45145
78 years, male, NA, stage:3, dead, 60 days
5128.7
DO48741
64 years, male, NA, stage:3, alive, 240 days
4902.4
DO48682
72 years, female, NA, stage:3, dead, 120 days
4851.6
DO45299
70 years, female, NA, stage:1, alive, 1440 days
4818.9
DO48723
73 years, male, NA, stage:1, alive, 600 days
4337.0
DO50829
78 years, male, NA, stage:3, alive, 570 days
3969.6
DO48717
54 years, male, NA, stage:4, dead, 180 days
3766.6
DO45175
74 years, male, NA, stage:2, alive, 1140 days
3653.3
DO45303
62 years, female, NA, stage:3, alive, 990 days
3605.8
DO48704
68 years, female, NA, stage:3, alive, 750 days
3553.1
DO50806
70 years, male, NA, stage:4, alive, 540 days
3511.3
DO45305
66 years, male, NA, stage:4, alive, 300 days
3383.5
DO45093
71 years, male, NA, stage:2, dead, 720 days
3377.2
DO45267
73 years, male, NA, stage:3, dead, 570 days
3368.7
DO45297
61 years, female, NA, stage:4, dead, 1260 days
3291.2
DO50791
79 years, female, NA, stage:1, dead, 480 days
3116.8
DO23537
79 years, male, NA, stage:2, dead, 900 days
3106.0
DO23508
79 years, female, NA, stage:2, alive, 390 days
3017.1
DO48695
77 years, male, NA, stage:2, alive, 720 days
2966.4
DO50798
77 years, male, NA, stage:3, dead, 30 days
2867.4
DO23511
83 years, female, NA, stage:3, dead, 180 days
2860.2
DO23545
67 years, male, NA, stage:2, dead, 570 days
2766.1
DO23539
77 years, male, NA, stage:1, alive, 1110 days
2762.4
DO23542
66 years, male, NA, stage:3, alive, 960 days
2718.0
DO48737
52 years, male, NA, stage:1, alive, 720 days
2709.8
DO45221
75 years, female, NA, stage:4, dead, 390 days
2600.7
DO45259
65 years, male, NA, stage:3, alive, 330 days
2556.2
DO23526
66 years, male, NA, stage:3, alive, 1050 days
2555.2
DO45301
56 years, male, NA, stage:2, dead, 1440 days
2537.5
DO23549
74 years, male, NA, stage:3, alive, 990 days
2521.4
DO23515
71 years, male, NA, stage:2, alive, 1230 days
2473.5
DO45185
89 years, male, NA, stage:2, alive, 600 days
2470.2
DO45092
62 years, male, NA, stage:4, dead, 1200 days
2463.2
DO45277
64 years, male, NA, stage:3, alive, 600 days
2441.8
DO45235
68 years, female, NA, stage:1, alive, 900 days
2425.4
DO45231
84 years, male, NA, stage:2, alive, 930 days
2409.2
DO50815
62 years, male, NA, stage:3, alive, 150 days
2355.4
DO45161
74 years, male, NA, stage:2, dead, 540 days
2338.8
DO50778
60 years, male, NA, stage:4, alive, 630 days
2333.8
DO48697
64 years, female, NA, stage:2, dead, 810 days
2302.5
DO50809
56 years, male, NA, stage:3, dead, 720 days
2264.9
DO50819
72 years, female, NA, stage:2, alive, 510 days
2264.4
DO50822
66 years, male, NA, stage:2, alive, 510 days
2247.1
DO45203
71 years, female, NA, stage:2, alive, 1170 days
2232.7
DO45255
81 years, male, NA, stage:3, alive, 720 days
2225.8
DO23524
71 years, female, NA, stage:2, alive, 1050 days
2164.6
DO48759
73 years, male, NA, stage:3, alive, 720 days
2120.0
DO45127
73 years, male, NA, stage:3, dead, 420 days
2103.4
DO45123
78 years, female, NA, stage:2, dead, 570 days
2084.0
DO50799
66 years, female, NA, stage:2, alive, 540 days
2054.6
DO50839
47 years, female, NA, stage:3, alive, 330 days
2045.1
DO45193
68 years, female, NA, stage:4, dead, 120 days
2028.4
DO50785
37 years, male, NA, stage:4, dead, 90 days
2019.3
DO45269
59 years, male, NA, stage:3, alive, 750 days
2013.8
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1979.7
DO50805
72 years, male, NA, stage:2, alive, 690 days
1947.3
DO48712
50 years, male, NA, stage:2, alive, 810 days
1939.7
DO45217
69 years, female, NA, stage:3, dead, 270 days
1919.4
DO23513
76 years, male, NA, stage:3, alive, 1200 days
1878.6
DO23509
60 years, male, NA, stage:3, dead, 780 days
1858.0
DO45205
67 years, female, NA, stage:2, dead, 90 days
1849.0
DO45117
73 years, female, NA, stage:2, dead, 1110 days
1846.2
DO45129
61 years, male, NA, stage:3, alive, 1470 days
1829.6
DO45257
46 years, male, NA, stage:3, alive, 810 days
1818.6
DO48716
71 years, male, NA, stage:2, alive, 720 days
1818.5
DO45119
74 years, male, NA, stage:3, dead, 510 days
1814.2
DO48693
71 years, male, NA, stage:2, alive, 900 days
1813.7
DO45163
76 years, male, NA, stage:2, alive, 960 days
1812.8
DO23547
74 years, male, NA, stage:1, alive, 1020 days
1805.7
DO45105
61 years, male, NA, stage:1, alive, 1680 days
1804.8
DO48719
80 years, male, NA, stage:2, alive, 690 days
1794.6
DO45281
83 years, male, NA, stage:4, alive, 750 days
1777.1
DO50857
72 years, male, NA, stage:2, alive, 210 days
1767.3
DO48757
68 years, female, NA, stage:3, alive, 480 days
1760.5
DO23514
64 years, male, NA, stage:2, alive, 1290 days
1739.2
DO45213
58 years, male, NA, stage:1, alive, 1200 days
1738.7
DO45275
65 years, male, NA, stage:3, dead, 10 days
1732.5
DO50825
70 years, male, NA, stage:2, alive, 390 days
1732.4
DO45131
53 years, male, NA, stage:4, dead, 360 days
1729.3
DO50844
75 years, male, NA, stage:4, alive, 300 days
1724.1
DO48679
72 years, male, NA, stage:2, alive, 1200 days
1722.9
DO45251
57 years, female, NA, stage:2, alive, 900 days
1717.3
DO45241
49 years, male, NA, stage:1, alive, 1080 days
1708.3
DO45135
77 years, male, NA, stage:1, alive, 1410 days
1698.6
DO23533
61 years, male, NA, stage:2, alive, 900 days
1676.7
DO48681
57 years, male, NA, stage:2, alive, 900 days
1673.4
DO45157
62 years, male, NA, stage:2, alive, 1980 days
1670.5
DO45283
60 years, male, NA, stage:3, alive, 510 days
1656.4
DO48751
68 years, male, NA, stage:2, dead, 480 days
1641.9
DO45171
56 years, male, NA, stage:3, alive, 600 days
1634.2
DO45169
74 years, male, NA, stage:3, alive, 1350 days
1615.9
DO45139
63 years, male, NA, stage:3, alive, 1320 days
1611.5
DO45189
85 years, female, NA, stage:2, alive, 1200 days
1597.0
DO45091
56 years, male, NA, stage:2, dead, 1320 days
1595.7
DO45237
58 years, male, NA, stage:2, alive, 900 days
1594.9
DO45165
75 years, male, NA, stage:2, alive, 690 days
1585.5
DO50776
75 years, male, NA, stage:1, alive, 690 days
1564.1
DO45121
61 years, male, NA, stage:3, alive, 1530 days
1560.2
DO48720
62 years, female, NA, stage:2, alive, 570 days
1544.6
DO45287
74 years, male, NA, stage:1, alive, 390 days
1530.2
DO48715
58 years, female, NA, stage:2, dead, 690 days
1507.7
DO45095
66 years, male, NA, stage:2, alive, 1620 days
1507.2
DO23546
63 years, male, NA, stage:2, alive, 1050 days
1493.0
DO45197
51 years, male, NA, stage:2, alive, 1170 days
1487.7
DO50802
49 years, male, NA, stage:2, alive, 930 days
1484.2
DO50789
73 years, female, NA, stage:2, alive, 570 days
1465.6
DO45141
73 years, male, NA, stage:2, alive, 1320 days
1424.4
DO50800
74 years, male, NA, stage:2, alive, 510 days
1420.4
DO48701
78 years, male, NA, stage:2, alive, 780 days
1419.9
DO45103
47 years, male, NA, stage:3, alive, 450 days
1409.4
DO50787
63 years, male, NA, stage:3, alive, 480 days
1397.6
DO23541
65 years, male, NA, stage:2, alive, 930 days
1397.5
DO45279
67 years, male, NA, stage:3, alive, 1290 days
1395.9
DO23530
53 years, male, NA, stage:4, dead, 180 days
1389.6
DO45167
67 years, male, NA, stage:2, dead, 1440 days
1381.0
DO48730
73 years, female, NA, stage:2, alive, 630 days
1376.8
DO23510
80 years, female, NA, stage:2, alive, 870 days
1353.5
DO45115
81 years, male, NA, stage:2, alive, 840 days
1348.8
DO50793
76 years, male, NA, stage:4, alive, 540 days
1338.2
DO45109
63 years, male, NA, stage:2, alive, 1590 days
1335.7
DO45183
72 years, female, NA, stage:2, dead, 570 days
1326.0
DO48672
81 years, male, NA, stage:2, alive, 450 days
1317.3
DO45209
70 years, male, NA, stage:4, alive, 1350 days
1312.9
DO48760
70 years, female, NA, stage:2, alive, 690 days
1309.3
DO45227
57 years, female, NA, stage:2, alive, 1020 days
1305.1
DO48743
69 years, female, NA, stage:2, alive, 570 days
1294.7
DO50774
68 years, female, NA, stage:2, alive, 720 days
1288.7
DO50808
68 years, male, NA, stage:2, alive, 570 days
1287.2
DO45253
50 years, male, NA, stage:2, alive, 870 days
1285.3
DO23518
67 years, male, NA, stage:2, alive, 1320 days
1281.8
DO45265
73 years, male, NA, stage:3, alive, 1020 days
1270.4
DO48706
72 years, male, NA, stage:2, alive, 870 days
1268.4
DO23550
69 years, male, NA, stage:1, alive, 990 days
1266.9
DO45187
32 years, female, NA, stage:1, alive, 1260 days
1265.1
DO23523
52 years, male, NA, stage:3, alive, 1080 days
1262.0
DO45249
57 years, male, NA, stage:1, alive, 630 days
1260.6
DO50813
56 years, male, NA, stage:2, alive, 420 days
1258.0
DO45191
61 years, female, NA, stage:2, alive, 1200 days
1253.8
DO23521
63 years, male, NA, stage:3, alive, 1110 days
1237.6
DO45273
62 years, male, NA, stage:2, alive, 480 days
1228.1
DO50850
74 years, male, NA, stage:3, alive, 720 days
1212.5
DO50859
77 years, male, NA, stage:2, alive, 180 days
1212.4
DO50845
72 years, male, NA, stage:3, alive, 210 days
1197.6
DO23529
72 years, male, NA, stage:4, alive, 930 days
1184.4
DO23535
67 years, male, NA, stage:1, alive, 960 days
1182.2
DO50840
49 years, male, NA, stage:2, alive, 330 days
1177.1
DO45177
81 years, female, NA, stage:3, alive, 1260 days
1163.6
DO45096
69 years, male, NA, stage:2, dead, 1290 days
1156.4
DO45153
77 years, female, NA, stage:2, alive, 1380 days
1155.3
DO45155
69 years, male, NA, stage:2, alive, 2160 days
1131.1
DO50820
77 years, female, NA, stage:3, alive, 510 days
1127.1
DO48728
74 years, female, NA, stage:2, alive, 150 days
1124.9
DO45239
42 years, male, NA, stage:2, alive, 870 days
1111.4
DO45099
46 years, male, NA, stage:3, alive, 1590 days
1106.0
DO45137
38 years, male, NA, stage:1, alive, 1320 days
1105.5
DO48725
66 years, male, NA, stage:1, alive, 780 days
1100.0
DO45201
49 years, male, NA, stage:1, alive, 900 days
1092.8
DO45113
58 years, male, NA, stage:3, alive, 1560 days
1090.3
DO23540
73 years, male, NA, stage:1, alive, 750 days
1088.4
DO45261
74 years, male, NA, stage:3, alive, 990 days
1087.5
DO23534
60 years, male, NA, stage:2, alive, 840 days
1084.5
DO23548
78 years, female, NA, stage:1, alive, 840 days
1084.1
DO23538
67 years, male, NA, stage:2, alive, 450 days
1076.1
DO45101
63 years, male, NA, stage:2, alive, 1680 days
1064.2
DO45159
65 years, male, NA, stage:3, alive, 1470 days
1061.6
DO48736
76 years, female, NA, stage:1, alive, 600 days
1051.4
DO45111
74 years, male, NA, stage:2, alive, 1590 days
1039.8
DO45179
78 years, female, NA, stage:2, alive, 600 days
1039.6
DO48742
76 years, male, NA, stage:2, alive, 600 days
1027.2
DO50855
47 years, male, NA, stage:2, alive, 570 days
1019.2
DO45133
64 years, male, NA, stage:3, dead, 660 days
1016.2
DO48700
78 years, female, NA, stage:2, alive, 810 days
1006.1
DO45097
69 years, male, NA, stage:3, alive, 1620 days
1000.7
DO23552
80 years, female, NA, stage:1, alive, 810 days
984.8
DO45195
62 years, male, NA, stage:1, alive, 390 days
981.2
DO23527
72 years, male, NA, stage:1, alive, 1050 days
977.8
DO45149
70 years, female, NA, stage:2, alive, 1260 days
929.9
DO23528
45 years, female, NA, stage:2, alive, 1020 days
927.3
DO45107
63 years, female, NA, stage:2, alive, 1710 days
887.5
DO50803
62 years, female, NA, stage:1, alive, 540 days
885.7
DO45094
76 years, male, NA, stage:3, alive, 1650 days
883.7
DO227801
77 years, female, NA, stage:1, alive, 660 days
880.9
DO48732
73 years, male, NA, stage:3, alive, 630 days
879.4
DO23536
56 years, male, NA, stage:2, alive, 930 days
877.9
DO50783
62 years, male, NA, stage:3, alive, 480 days
862.4
DO45219
78 years, male, NA, stage:2, alive, 1080 days
861.1
DO23543
63 years, male, NA, stage:2, alive, 1020 days
859.9
DO45225
69 years, male, NA, stage:1, alive, 1050 days
859.4
DO45229
74 years, male, NA, stage:1, alive, 990 days
853.2
DO50816
63 years, male, NA, stage:2, alive, 390 days
853.2
DO45207
68 years, male, NA, stage:1, alive, 1050 days
848.5
DO45143
69 years, male, NA, stage:3, alive, 1290 days
828.8
DO23516
69 years, male, NA, stage:3, dead, 20 days
824.8
DO23551
73 years, male, NA, stage:3, dead, 150 days
823.4
DO48727
81 years, female, NA, stage:2, dead, 390 days
805.7
DO45199
86 years, female, NA, stage:2, alive, 1350 days
803.9
DO23531
78 years, female, NA, stage:3, alive, 900 days
800.0
DO48733
72 years, male, NA, stage:2, alive, 600 days
794.4
DO45173
63 years, male, NA, stage:3, alive, 1170 days
790.2
DO50814
83 years, male, NA, stage:3, alive, 420 days
783.5
DO50811
62 years, male, NA, stage:1, alive, 450 days
766.5
DO45181
84 years, female, NA, stage:2, alive, 1200 days
758.3
DO45243
74 years, female, NA, stage:3, alive, 930 days
737.0
DO45263
67 years, male, NA, stage:3, dead, 270 days
731.1
DO48674
80 years, male, NA, stage:2, alive, 1260 days
728.0
DO227643
79 years, male, NA, stage:2, alive, 1260 days
726.2
DO50804
81 years, male, NA, stage:2, alive, 720 days
714.9
DO45223
67 years, male, NA, stage:4, alive, 1020 days
713.8
DO50832
73 years, male, NA, stage:3, alive, 90 days
697.5
DO48721
58 years, female, NA, stage:1, alive, 900 days
691.5
DO23512
60 years, male, NA, stage:1, alive, 1260 days
677.2
DO48761
55 years, male, NA, stage:2, alive, 870 days
642.3
DO45233
83 years, male, NA, stage:3, alive, 900 days
621.2
DO45125
58 years, male, NA, stage:3, alive, 1680 days
602.3
DO45247
31 years, female, NA, stage:2, alive, 210 days
555.7
DO45215
65 years, male, NA, stage:2, alive, 1170 days
534.2
DO48677
58 years, male, NA, stage:3, alive, 1140 days
527.1
DO50818
65 years, male, NA, stage:2, alive, 510 days
507.1
DO23517
62 years, male, NA, stage:2, alive, 1200 days
476.5
DO23532
71 years, female, NA, stage:1, alive, 960 days
399.0
DO23544
67 years, male, NA, stage:2, alive, 960 days
323.6
DO50817
75 years, male, NA, stage:2, alive, 390 days
322.4
DO50807
67 years, male, NA, stage:1, alive, 540 days
293.2
DO48746
76 years, male, NA, stage:3, alive, 570 days
250.7
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.