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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.
RPLP0 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
1975.5
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
8323.4
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
7218.8
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
6017.3
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
6016.9
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
5960.3
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
5694.9
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
5692.8
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
5444.1
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
5136.1
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
5027.3
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
4962.5
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
4959.6
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
4921.7
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
4907.8
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
4801.3
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
4759.9
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
4491.3
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
4212.9
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
4170.0
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
4146.7
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
4122.7
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
4108.8
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
4072.5
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
4067.9
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
4007.9
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
3958.2
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
3938.2
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
3931.7
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
3806.6
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
3787.6
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
3729.1
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
3694.9
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
3694.4
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
3592.4
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
3590.0
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
3572.9
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
3535.5
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
3507.8
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
3483.4
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
3458.4
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
3394.6
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
3385.3
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
3290.6
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
3266.8
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
3246.6
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
3235.9
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
3213.5
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
3199.6
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
3151.3
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
3144.7
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
3122.3
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
3041.7
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
2990.9
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
2967.0
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
2962.0
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
2930.3
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
2905.5
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
2890.7
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
2876.4
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
2874.6
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
2862.9
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
2835.5
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
2830.5
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
2825.8
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
2806.4
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
2774.0
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
2749.8
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
2745.3
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
2727.1
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
2706.5
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
2694.8
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
2692.2
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
2689.7
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
2676.4
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
2632.8
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
2628.4
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
2622.1
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
2615.6
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
2586.6
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
2575.6
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
2555.0
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
2530.0
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
2517.9
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
2506.9
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
2503.9
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
2503.2
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
2497.5
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
2487.2
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
2483.2
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
2472.9
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
2470.9
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
2462.7
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
2443.9
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
2397.0
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
2387.2
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
2382.2
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
2355.6
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
2352.7
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
2342.7
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
2324.7
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
2286.0
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
2283.1
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
2273.3
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
2263.7
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
2262.0
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
2257.2
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
2241.1
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
2233.7
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
2222.0
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
2213.7
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
2200.3
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
2190.3
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
2186.8
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
2179.6
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
2159.0
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
2155.4
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
2132.3
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
2122.7
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
2119.8
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
2065.3
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
2064.4
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
2060.3
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
2047.0
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
2038.1
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
2021.2
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
2003.7
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
2001.7
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
1976.1
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
1970.3
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
1968.7
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
1964.9
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
1955.7
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
1945.8
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
1944.5
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
1934.8
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
1932.6
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
1926.5
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
1893.0
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
1886.5
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
1879.4
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
1862.8
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
1856.5
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
1849.5
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
1831.9
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
1822.4
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
1819.0
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1816.9
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
1814.3
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
1813.9
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
1813.1
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
1792.5
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
1788.5
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
1783.8
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
1779.8
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
1778.5
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
1773.3
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
1772.8
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
1772.3
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
1771.9
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
1768.6
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
1761.3
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
1745.5
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
1740.2
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1737.1
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
1732.7
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
1731.5
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
1726.0
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
1717.6
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
1687.8
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
1687.5
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
1682.5
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
1680.6
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
1678.9
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
1676.0
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
1671.2
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
1644.1
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
1640.0
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
1639.8
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
1638.5
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
1635.4
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
1635.3
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
1626.3
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
1619.3
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
1617.9
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
1615.3
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
1613.9
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
1607.6
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
1603.3
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
1602.9
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
1592.5
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
1588.5
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
1587.4
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
1586.8
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
1562.0
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
1551.1
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
1538.3
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
1534.9
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1532.9
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
1526.2
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
1518.2
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
1514.1
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
1513.7
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
1499.0
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
1493.1
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
1492.2
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
1490.4
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
1486.8
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
1486.0
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
1481.4
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
1481.0
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
1477.5
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
1473.9
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1472.5
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
1461.0
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
1451.3
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
1450.6
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
1444.8
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
1444.5
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
1438.6
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
1436.2
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
1432.6
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
1431.4
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
1428.0
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
1425.0
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
1413.9
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
1410.5
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
1406.9
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
1403.9
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
1402.0
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
1396.2
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
1390.0
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
1388.8
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
1383.9
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1379.6
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
1379.1
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
1375.6
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1372.3
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
1371.0
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
1359.8
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
1355.6
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
1352.3
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
1345.9
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
1345.8
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
1344.9
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
1343.6
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
1340.6
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
1340.1
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
1326.8
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
1326.2
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
1323.4
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
1323.2
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
1319.8
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
1317.6
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
1294.1
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
1288.2
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
1282.5
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
1271.0
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
1271.0
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
1267.4
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
1266.6
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
1266.3
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
1264.1
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
1260.3
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
1260.1
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
1251.0
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
1249.6
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
1239.4
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
1237.9
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
1236.8
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
1202.1
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
1199.4
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
1177.7
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
1174.6
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
1174.3
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
1154.4
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
1151.9
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
1143.9
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1142.8
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
1138.6
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
1133.4
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
1124.5
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
1123.1
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
1119.8
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
1112.7
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
1110.2
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
1106.2
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
1105.1
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
1101.0
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
1100.5
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
1098.0
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
1094.8
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1087.7
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
1081.2
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
1069.7
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
1069.0
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
1069.0
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
1063.5
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
1052.2
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
1048.7
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
1046.8
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
1046.5
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
1045.6
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
1044.1
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
1042.8
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
1041.4
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
1038.5
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
1038.1
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
1031.8
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
1027.8
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
1019.3
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
1013.9
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
993.0
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
991.7
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
978.5
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
975.7
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
975.7
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
968.6
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
958.9
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
941.8
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
939.8
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
933.8
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
927.2
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
925.1
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
921.0
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
919.4
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
911.0
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
905.9
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
900.3
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
892.1
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
886.5
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
878.3
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
876.8
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
870.4
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
867.5
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
853.7
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
851.4
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
850.1
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
841.9
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
841.8
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
838.3
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
835.3
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
827.5
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
767.6
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
761.4
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
743.5
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
743.3
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
737.7
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
718.9
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
717.7
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
713.3
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
709.3
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
696.8
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
694.8
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
694.7
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
693.0
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
672.2
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
639.8
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
600.9
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
569.7
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
511.9
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
426.4
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 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.
RPLP0 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
1847.5
Number of samples
231
Samples
Sample
Description
pTPM
DO50785
37 years, male, NA, stage:4, dead, 90 days
7676.3
DO23515
71 years, male, NA, stage:2, alive, 1230 days
5486.5
DO45285
59 years, male, NA, stage:3, alive, 480 days
5080.7
DO45303
62 years, female, NA, stage:3, alive, 990 days
4882.3
DO23516
69 years, male, NA, stage:3, dead, 20 days
4637.2
DO23537
79 years, male, NA, stage:2, dead, 900 days
4616.8
DO45217
69 years, female, NA, stage:3, dead, 270 days
4556.1
DO45093
71 years, male, NA, stage:2, dead, 720 days
4507.5
DO48682
72 years, female, NA, stage:3, dead, 120 days
4400.5
DO50806
70 years, male, NA, stage:4, alive, 540 days
4386.9
DO23545
67 years, male, NA, stage:2, dead, 570 days
4275.0
DO50855
47 years, male, NA, stage:2, alive, 570 days
4126.5
DO45305
66 years, male, NA, stage:4, alive, 300 days
3989.5
DO45259
65 years, male, NA, stage:3, alive, 330 days
3886.6
DO45187
32 years, female, NA, stage:1, alive, 1260 days
3827.3
DO45251
57 years, female, NA, stage:2, alive, 900 days
3753.9
DO45161
74 years, male, NA, stage:2, dead, 540 days
3645.8
DO50799
66 years, female, NA, stage:2, alive, 540 days
3618.5
DO45257
46 years, male, NA, stage:3, alive, 810 days
3599.9
DO45213
58 years, male, NA, stage:1, alive, 1200 days
3442.3
DO45307
54 years, female, NA, stage:4, dead, 240 days
3417.2
DO45189
85 years, female, NA, stage:2, alive, 1200 days
3384.4
DO50809
56 years, male, NA, stage:3, dead, 720 days
3292.5
DO45275
65 years, male, NA, stage:3, dead, 10 days
3207.3
DO45173
63 years, male, NA, stage:3, alive, 1170 days
3152.3
DO23519
65 years, male, NA, stage:3, alive, 630 days
3035.0
DO48737
52 years, male, NA, stage:1, alive, 720 days
2977.3
DO48730
73 years, female, NA, stage:2, alive, 630 days
2967.2
DO45247
31 years, female, NA, stage:2, alive, 210 days
2938.9
DO48736
76 years, female, NA, stage:1, alive, 600 days
2846.1
DO50802
49 years, male, NA, stage:2, alive, 930 days
2838.8
DO45287
74 years, male, NA, stage:1, alive, 390 days
2819.7
DO45193
68 years, female, NA, stage:4, dead, 120 days
2808.9
DO45301
56 years, male, NA, stage:2, dead, 1440 days
2801.9
DO50829
78 years, male, NA, stage:3, alive, 570 days
2727.4
DO50859
77 years, male, NA, stage:2, alive, 180 days
2697.5
DO48757
68 years, female, NA, stage:3, alive, 480 days
2693.4
DO45191
61 years, female, NA, stage:2, alive, 1200 days
2685.8
DO45209
70 years, male, NA, stage:4, alive, 1350 days
2680.7
DO45297
61 years, female, NA, stage:4, dead, 1260 days
2670.9
DO45299
70 years, female, NA, stage:1, alive, 1440 days
2659.3
DO45279
67 years, male, NA, stage:3, alive, 1290 days
2655.8
DO45127
73 years, male, NA, stage:3, dead, 420 days
2636.6
DO45269
59 years, male, NA, stage:3, alive, 750 days
2628.2
DO45211
76 years, male, NA, stage:3, alive, 240 days
2623.0
DO45249
57 years, male, NA, stage:1, alive, 630 days
2591.8
DO23528
45 years, female, NA, stage:2, alive, 1020 days
2582.7
DO50820
77 years, female, NA, stage:3, alive, 510 days
2511.6
DO48681
57 years, male, NA, stage:2, alive, 900 days
2507.1
DO45097
69 years, male, NA, stage:3, alive, 1620 days
2498.1
DO23530
53 years, male, NA, stage:4, dead, 180 days
2495.8
DO23508
79 years, female, NA, stage:2, alive, 390 days
2490.5
DO45239
42 years, male, NA, stage:2, alive, 870 days
2487.7
DO50815
62 years, male, NA, stage:3, alive, 150 days
2416.8
DO45265
73 years, male, NA, stage:3, alive, 1020 days
2411.7
DO48747
62 years, male, NA, stage:3, alive, 540 days
2375.9
DO45135
77 years, male, NA, stage:1, alive, 1410 days
2374.1
DO50814
83 years, male, NA, stage:3, alive, 420 days
2366.9
DO45221
75 years, female, NA, stage:4, dead, 390 days
2322.7
DO45205
67 years, female, NA, stage:2, dead, 90 days
2308.5
DO45281
83 years, male, NA, stage:4, alive, 750 days
2306.0
DO45139
63 years, male, NA, stage:3, alive, 1320 days
2300.9
DO48712
50 years, male, NA, stage:2, alive, 810 days
2264.2
DO50822
66 years, male, NA, stage:2, alive, 510 days
2260.9
DO45183
72 years, female, NA, stage:2, dead, 570 days
2256.9
DO50825
70 years, male, NA, stage:2, alive, 390 days
2238.8
DO45289
78 years, female, NA, stage:3, alive, 360 days
2235.7
DO23526
66 years, male, NA, stage:3, alive, 1050 days
2232.4
DO45175
74 years, male, NA, stage:2, alive, 1140 days
2230.2
DO45121
61 years, male, NA, stage:3, alive, 1530 days
2198.6
DO23525
71 years, male, NA, stage:4, alive, 1050 days
2196.7
DO45219
78 years, male, NA, stage:2, alive, 1080 days
2165.0
DO48741
64 years, male, NA, stage:3, alive, 240 days
2137.4
DO45203
71 years, female, NA, stage:2, alive, 1170 days
2134.6
DO48697
64 years, female, NA, stage:2, dead, 810 days
2132.7
DO48706
72 years, male, NA, stage:2, alive, 870 days
2102.4
DO45273
62 years, male, NA, stage:2, alive, 480 days
2090.3
DO50783
62 years, male, NA, stage:3, alive, 480 days
2076.7
DO45092
62 years, male, NA, stage:4, dead, 1200 days
2058.4
DO48720
62 years, female, NA, stage:2, alive, 570 days
2057.9
DO45103
47 years, male, NA, stage:3, alive, 450 days
2057.3
DO45231
84 years, male, NA, stage:2, alive, 930 days
2055.8
DO45283
60 years, male, NA, stage:3, alive, 510 days
2052.0
DO45245
75 years, female, NA, stage:2, dead, 240 days
2046.4
DO50844
75 years, male, NA, stage:4, alive, 300 days
2046.2
DO45165
75 years, male, NA, stage:2, alive, 690 days
2042.1
DO23511
83 years, female, NA, stage:3, dead, 180 days
2040.7
DO48723
73 years, male, NA, stage:1, alive, 600 days
2027.1
DO45277
64 years, male, NA, stage:3, alive, 600 days
1980.2
DO45095
66 years, male, NA, stage:2, alive, 1620 days
1967.1
DO48727
81 years, female, NA, stage:2, dead, 390 days
1950.8
DO23523
52 years, male, NA, stage:3, alive, 1080 days
1948.3
DO45199
86 years, female, NA, stage:2, alive, 1350 days
1925.1
DO50857
72 years, male, NA, stage:2, alive, 210 days
1915.1
DO48715
58 years, female, NA, stage:2, dead, 690 days
1914.0
DO45237
58 years, male, NA, stage:2, alive, 900 days
1901.2
DO50805
72 years, male, NA, stage:2, alive, 690 days
1897.8
DO45253
50 years, male, NA, stage:2, alive, 870 days
1889.2
DO45113
58 years, male, NA, stage:3, alive, 1560 days
1864.9
DO50778
60 years, male, NA, stage:4, alive, 630 days
1827.6
DO45145
78 years, male, NA, stage:3, dead, 60 days
1779.7
DO45157
62 years, male, NA, stage:2, alive, 1980 days
1769.6
DO48717
54 years, male, NA, stage:4, dead, 180 days
1767.8
DO45119
74 years, male, NA, stage:3, dead, 510 days
1752.3
DO50793
76 years, male, NA, stage:4, alive, 540 days
1690.6
DO50800
74 years, male, NA, stage:2, alive, 510 days
1688.7
DO50804
81 years, male, NA, stage:2, alive, 720 days
1686.7
DO45091
56 years, male, NA, stage:2, dead, 1320 days
1670.2
DO45267
73 years, male, NA, stage:3, dead, 570 days
1663.2
DO48732
73 years, male, NA, stage:3, alive, 630 days
1657.1
DO50819
72 years, female, NA, stage:2, alive, 510 days
1656.9
DO45131
53 years, male, NA, stage:4, dead, 360 days
1640.4
DO48759
73 years, male, NA, stage:3, alive, 720 days
1623.1
DO23521
63 years, male, NA, stage:3, alive, 1110 days
1610.3
DO45185
89 years, male, NA, stage:2, alive, 600 days
1602.3
DO50811
62 years, male, NA, stage:1, alive, 450 days
1601.0
DO50791
79 years, female, NA, stage:1, dead, 480 days
1594.1
DO50817
75 years, male, NA, stage:2, alive, 390 days
1593.9
DO45201
49 years, male, NA, stage:1, alive, 900 days
1587.6
DO45235
68 years, female, NA, stage:1, alive, 900 days
1557.2
DO48751
68 years, male, NA, stage:2, dead, 480 days
1544.5
DO50816
63 years, male, NA, stage:2, alive, 390 days
1542.9
DO48700
78 years, female, NA, stage:2, alive, 810 days
1512.1
DO50798
77 years, male, NA, stage:3, dead, 30 days
1506.3
DO48742
76 years, male, NA, stage:2, alive, 600 days
1504.1
DO23549
74 years, male, NA, stage:3, alive, 990 days
1475.6
DO45255
81 years, male, NA, stage:3, alive, 720 days
1470.5
DO45179
78 years, female, NA, stage:2, alive, 600 days
1470.2
DO23533
61 years, male, NA, stage:2, alive, 900 days
1448.1
DO45143
69 years, male, NA, stage:3, alive, 1290 days
1436.2
DO45207
68 years, male, NA, stage:1, alive, 1050 days
1426.4
DO48672
81 years, male, NA, stage:2, alive, 450 days
1407.2
DO48677
58 years, male, NA, stage:3, alive, 1140 days
1406.7
DO45171
56 years, male, NA, stage:3, alive, 600 days
1379.5
DO23529
72 years, male, NA, stage:4, alive, 930 days
1373.8
DO45169
74 years, male, NA, stage:3, alive, 1350 days
1356.6
DO48743
69 years, female, NA, stage:2, alive, 570 days
1352.7
DO48725
66 years, male, NA, stage:1, alive, 780 days
1352.1
DO23542
66 years, male, NA, stage:3, alive, 960 days
1345.2
DO48716
71 years, male, NA, stage:2, alive, 720 days
1333.3
DO45125
58 years, male, NA, stage:3, alive, 1680 days
1312.6
DO23510
80 years, female, NA, stage:2, alive, 870 days
1311.4
DO48761
55 years, male, NA, stage:2, alive, 870 days
1301.7
DO48693
71 years, male, NA, stage:2, alive, 900 days
1294.0
DO50776
75 years, male, NA, stage:1, alive, 690 days
1292.9
DO23524
71 years, female, NA, stage:2, alive, 1050 days
1284.7
DO45117
73 years, female, NA, stage:2, dead, 1110 days
1274.2
DO50840
49 years, male, NA, stage:2, alive, 330 days
1271.5
DO50839
47 years, female, NA, stage:3, alive, 330 days
1235.1
DO45233
83 years, male, NA, stage:3, alive, 900 days
1233.7
DO23539
77 years, male, NA, stage:1, alive, 1110 days
1230.3
DO23547
74 years, male, NA, stage:1, alive, 1020 days
1228.8
DO45261
74 years, male, NA, stage:3, alive, 990 days
1227.1
DO48728
74 years, female, NA, stage:2, alive, 150 days
1224.4
DO45109
63 years, male, NA, stage:2, alive, 1590 days
1221.0
DO45163
76 years, male, NA, stage:2, alive, 960 days
1216.6
DO50832
73 years, male, NA, stage:3, alive, 90 days
1215.8
DO48695
77 years, male, NA, stage:2, alive, 720 days
1210.8
DO45149
70 years, female, NA, stage:2, alive, 1260 days
1206.1
DO45123
78 years, female, NA, stage:2, dead, 570 days
1202.7
DO45153
77 years, female, NA, stage:2, alive, 1380 days
1192.0
DO45229
74 years, male, NA, stage:1, alive, 990 days
1183.9
DO50845
72 years, male, NA, stage:3, alive, 210 days
1181.4
DO50807
67 years, male, NA, stage:1, alive, 540 days
1174.8
DO45225
69 years, male, NA, stage:1, alive, 1050 days
1170.6
DO23513
76 years, male, NA, stage:3, alive, 1200 days
1162.4
DO50774
68 years, female, NA, stage:2, alive, 720 days
1157.2
DO45223
67 years, male, NA, stage:4, alive, 1020 days
1149.0
DO45263
67 years, male, NA, stage:3, dead, 270 days
1113.5
DO50813
56 years, male, NA, stage:2, alive, 420 days
1102.7
DO48746
76 years, male, NA, stage:3, alive, 570 days
1102.3
DO23543
63 years, male, NA, stage:2, alive, 1020 days
1100.4
DO48719
80 years, male, NA, stage:2, alive, 690 days
1099.0
DO50787
63 years, male, NA, stage:3, alive, 480 days
1097.0
DO45241
49 years, male, NA, stage:1, alive, 1080 days
1088.8
DO23538
67 years, male, NA, stage:2, alive, 450 days
1084.9
DO23514
64 years, male, NA, stage:2, alive, 1290 days
1068.9
DO23536
56 years, male, NA, stage:2, alive, 930 days
1050.9
DO45177
81 years, female, NA, stage:3, alive, 1260 days
1049.7
DO23552
80 years, female, NA, stage:1, alive, 810 days
1030.4
DO23540
73 years, male, NA, stage:1, alive, 750 days
1011.1
DO50818
65 years, male, NA, stage:2, alive, 510 days
1003.4
DO45115
81 years, male, NA, stage:2, alive, 840 days
1002.2
DO45243
74 years, female, NA, stage:3, alive, 930 days
1001.6
DO23535
67 years, male, NA, stage:1, alive, 960 days
996.8
DO45227
57 years, female, NA, stage:2, alive, 1020 days
965.4
DO45141
73 years, male, NA, stage:2, alive, 1320 days
957.1
DO48733
72 years, male, NA, stage:2, alive, 600 days
947.8
DO23546
63 years, male, NA, stage:2, alive, 1050 days
941.9
DO45159
65 years, male, NA, stage:3, alive, 1470 days
939.5
DO48704
68 years, female, NA, stage:3, alive, 750 days
931.3
DO23548
78 years, female, NA, stage:1, alive, 840 days
917.2
DO45155
69 years, male, NA, stage:2, alive, 2160 days
915.2
DO45096
69 years, male, NA, stage:2, dead, 1290 days
913.4
DO227643
79 years, male, NA, stage:2, alive, 1260 days
913.3
DO45215
65 years, male, NA, stage:2, alive, 1170 days
912.9
DO23509
60 years, male, NA, stage:3, dead, 780 days
903.8
DO45197
51 years, male, NA, stage:2, alive, 1170 days
891.5
DO23544
67 years, male, NA, stage:2, alive, 960 days
874.5
DO227801
77 years, female, NA, stage:1, alive, 660 days
845.1
DO48674
80 years, male, NA, stage:2, alive, 1260 days
825.9
DO50789
73 years, female, NA, stage:2, alive, 570 days
799.4
DO45181
84 years, female, NA, stage:2, alive, 1200 days
791.4
DO23512
60 years, male, NA, stage:1, alive, 1260 days
759.1
DO23517
62 years, male, NA, stage:2, alive, 1200 days
748.5
DO50803
62 years, female, NA, stage:1, alive, 540 days
736.9
DO45129
61 years, male, NA, stage:3, alive, 1470 days
733.6
DO23527
72 years, male, NA, stage:1, alive, 1050 days
722.4
DO50808
68 years, male, NA, stage:2, alive, 570 days
685.4
DO23518
67 years, male, NA, stage:2, alive, 1320 days
681.6
DO48679
72 years, male, NA, stage:2, alive, 1200 days
669.4
DO45099
46 years, male, NA, stage:3, alive, 1590 days
668.8
DO45195
62 years, male, NA, stage:1, alive, 390 days
656.6
DO45094
76 years, male, NA, stage:3, alive, 1650 days
630.1
DO50850
74 years, male, NA, stage:3, alive, 720 days
621.5
DO48760
70 years, female, NA, stage:2, alive, 690 days
619.1
DO23541
65 years, male, NA, stage:2, alive, 930 days
589.8
DO48701
78 years, male, NA, stage:2, alive, 780 days
578.1
DO23531
78 years, female, NA, stage:3, alive, 900 days
575.7
DO45133
64 years, male, NA, stage:3, dead, 660 days
563.3
DO45105
61 years, male, NA, stage:1, alive, 1680 days
546.4
DO45137
38 years, male, NA, stage:1, alive, 1320 days
546.4
DO23534
60 years, male, NA, stage:2, alive, 840 days
523.1
DO23550
69 years, male, NA, stage:1, alive, 990 days
515.7
DO23532
71 years, female, NA, stage:1, alive, 960 days
512.9
DO45101
63 years, male, NA, stage:2, alive, 1680 days
476.6
DO45111
74 years, male, NA, stage:2, alive, 1590 days
473.7
DO23551
73 years, male, NA, stage:3, dead, 150 days
439.8
DO48721
58 years, female, NA, stage:1, alive, 900 days
437.1
DO45167
67 years, male, NA, stage:2, dead, 1440 days
362.7
DO45107
63 years, female, NA, stage:2, alive, 1710 days
313.6
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
557
Tumor
0.5
567
Tumor
0.4
113
Tumor
0.3
223
Tumor
0.3
467
Tumor
0.3
395
Tumor
0.3
443
Tumor
0.3
685
Tumor
0.2
815
Tumor
0.2
393
Tumor
0.2
636
Normal
0.2
414
Normal
0.2
436
Normal
0.2
661
Tumor
0.2
432
Normal
0.2
358
Normal
0.2
851
Tumor
0.2
573
Tumor
0.2
433
Tumor
0.2
135
Tumor
0.2
353
Tumor
0.2
571
Tumor
0.2
367
Tumor
0.2
172
Normal
0.2
332
Normal
0.2
196
Normal
0.2
413
Tumor
0.2
394
Normal
0.2
446
Normal
0.2
376
Normal
0.2
314
Normal
0.2
422
Normal
0.2
162
Normal
0.2
392
Normal
0.2
466
Normal
0.1
327
Tumor
0.1
331
Tumor
0.1
385
Tumor
0.1
111
Normal
0.1
285
Tumor
0.1
721
Tumor
0.1
452
Normal
0.1
214
Normal
0.1
145
Tumor
0.1
278
Normal
0.1
186
Normal
0.1
428
Normal
0.1
352
Normal
0.1
464
Normal
0.1
434
Normal
0.1
187
Tumor
0.1
648
Normal
0.1
227
Tumor
0.1
232
Normal
0.1
267
Tumor
0.1
222
Normal
0.1
426
Normal
0.1
286
Normal
0.1
421
Tumor
0.1
743
Tumor
0.1
451
Tumor
0.1
424
Normal
0.1
147
Tumor
0.1
388
Normal
0.1
195
Tumor
0.1
387
Tumor
0.1
777
Tumor
0.1
128
Normal
0.1
746
Normal
0.1
258
Normal
0.1
664
Normal
0.1
342
Normal
0.1
468
Normal
0.1
444
Normal
0.1
568
Normal
0.1
351
Tumor
0.1
662
Normal
0.1
132
Normal
0.1
724
Normal
0.1
738
Normal
0.1
114
Normal
0.1
298
Normal
0.1
1027
Tumor
0.1
257
Tumor
0.1
124
Normal
0.1
368
Normal
0.1
344
Normal
0.1
218
Normal
0.1
362
Normal
0.1
745
Tumor
0.1
435
Tumor
0.1
136
Normal
0.1
713
Tumor
0.1
425
Tumor
0.1
778
Normal
0.1
445
Tumor
0.1
138
Normal
0.1
671
Tumor
0.1
955
Tumor
0.0
1021
Tumor
0.0
462
Normal
0.0
272
Normal
0.0
742
Normal
0.0
188
Normal
0.0
864
Normal
0.0
148
Normal
0.0
221
Tumor
0.0
191
Tumor
0.0
354
Normal
0.0
786
Normal
0.0
728
Normal
0.0
262
Normal
0.0
126
Normal
0.0
672
Normal
0.0
628
Normal
0.0
396
Normal
0.0
384
Normal
0.0
528
Normal
0.0
666
Normal
0.0
463
Tumor
0.0
983
Tumor
0.0
423
Tumor
0.0
228
Normal
0.0
862
Normal
0.0
696
Normal
0.0
366
Normal
0.0
723
Tumor
0.0
465
Tumor
0.0
564
Normal
0.0
213
Tumor
0.0
112
Tumor
0.0
558
Normal
0.0
481
Tumor
0.0
813
Tumor
0.0
824
Normal
0.0
137
Tumor
0.0
284
Normal
0.0
858
Normal
0.0
271
Tumor
0.0
217
Tumor
N/A
431
Tumor
0.0
618
Normal
0.0
171
Tumor
0.0
356
Normal
0.0
456
Normal
0.0
665
Tumor
0.0
386
Normal
0.0
617
Tumor
0.0
1026
Normal
0.0
572
Normal
0.0
686
Normal
0.0
865
Tumor
0.0
642
Normal
0.0
427
Tumor
0.0
978
Normal
0.0
715
Tumor
0.0
185
Tumor
0.0
912
Normal
0.0
212
Normal
0.0
574
Normal
0.0
268
Normal
0.0
375
Tumor
0.0
818
Normal
0.0
161
Tumor
0.0
312
Normal
0.0
937
Tumor
0.0
866
Normal
0.0
868
Normal
0.0
447
Tumor
0.0
277
Tumor
0.0
455
Tumor
0.0
663
Tumor
0.0
698
Normal
0.0
125
Tumor
0.0
142
Normal
0.0
343
Tumor
0.0
537
Tumor
0.0
1044
Normal
0.0
877
Tumor
-0.1
365
Tumor
-0.1
722
Normal
-0.1
938
Normal
-0.1
756
Normal
-0.1
755
Tumor
-0.1
448
Normal
-0.1
123
Tumor
-0.1
261
Tumor
-0.1
744
Normal
-0.1
391
Tumor
-0.1
816
Normal
-0.1
341
Tumor
-0.1
814
Normal
-0.1
1016
Normal
-0.1
127
Tumor
-0.1
361
Tumor
-0.1
412
Normal
-0.1
1022
Normal
-0.1
146
Normal
-0.1
1043
Tumor
-0.1
231
Tumor
-0.1
852
Normal
-0.1
926
Normal
-0.1
737
Tumor
-0.1
968
Normal
-0.1
956
Normal
-0.1
914
Normal
-0.1
563
Tumor
-0.1
714
Normal
-0.1
411
Tumor
-0.1
526
Normal
-0.1
224
Normal
-0.1
534
Normal
-0.1
514
Normal
-0.1
647
Tumor
-0.1
716
Normal
-0.1
944
Normal
-0.1
727
Tumor
-0.1
635
Tumor
-0.1
517
Tumor
-0.1
313
Tumor
-0.1
474
Normal
-0.1
488
Normal
-0.1
1028
Normal
-0.1
878
Normal
-0.1
984
Normal
-0.1
884
Normal
-0.1
952
Normal
-0.1
494
Normal
-0.1
357
Tumor
-0.1
131
Tumor
-0.1
1015
Tumor
-0.1
981
Tumor
-0.1
482
Normal
-0.1
966
Normal
-0.1
976
Normal
-0.1
922
Normal
-0.1
1014
Normal
-0.1
461
Tumor
-0.1
982
Normal
-0.1
192
Normal
-0.1
785
Tumor
-0.1
873
Tumor
-0.1
535
Tumor
-0.1
918
Normal
-0.1
964
Normal
-0.1
867
Tumor
-0.1
882
Normal
-0.1
913
Tumor
-0.1
881
Tumor
-0.1
416
Normal
-0.2
497
Tumor
-0.2
515
Tumor
-0.2
546
Normal
-0.2
817
Tumor
-0.2
328
Normal
-0.2
874
Normal
-0.2
472
Normal
-0.2
518
Normal
-0.2
527
Tumor
-0.2
141
Tumor
-0.2
1032
Normal
-0.2
923
Tumor
-0.2
297
Tumor
-0.2
967
Tumor
-0.2
695
Tumor
-0.2
924
Normal
-0.2
1042
Normal
-0.2
363
Tumor
-0.2
883
Tumor
-0.2
616
Normal
-0.2
965
Tumor
-0.2
861
Tumor
-0.2
953
Tumor
-0.2
615
Tumor
-0.2
916
Normal
-0.2
513
Tumor
-0.2
523
Tumor
-0.2
383
Tumor
-0.2
823
Tumor
-0.2
641
Tumor
-0.2
1046
Normal
-0.2
283
Tumor
-0.2
524
Normal
-0.2
516
Normal
-0.2
951
Tumor
-0.2
311
Tumor
-0.2
954
Normal
-0.2
975
Tumor
-0.3
943
Tumor
-0.3
925
Tumor
-0.3
364
Normal
-0.3
958
Normal
-0.3
536
Normal
-0.3
484
Normal
-0.3
554
Normal
-0.3
863
Tumor
-0.3
627
Tumor
-0.3
857
Tumor
-0.3
493
Tumor
-0.3
545
Tumor
-0.3
977
Tumor
-0.3
697
Tumor
-0.3
741
Tumor
-0.3
915
Tumor
-0.3
415
Tumor
-0.3
917
Tumor
-0.3
921
Tumor
-0.3
525
Tumor
-0.3
471
Tumor
-0.3
963
Tumor
-0.4
1045
Tumor
-0.4
1025
Tumor
-0.4
492
Normal
-0.4
911
Tumor
-0.4
478
Normal
-0.4
1041
Tumor
-0.4
487
Tumor
-0.4
211
Tumor
-0.4
483
Tumor
-0.4
477
Tumor
-0.4
538
Normal
-0.4
957
Tumor
-0.4
1031
Tumor
-0.4
498
Normal
-0.4
355
Tumor
-0.5
533
Tumor
-0.5
491
Tumor
-0.5
553
Tumor
-0.5
1013
Tumor
-0.6
473
Tumor
-1.0
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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.