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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.
RPS24 is not prognostic in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
1917.2
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
8933.6
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
7874.5
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
5864.7
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
5785.6
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
5543.4
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
5531.5
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
5472.7
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
5397.5
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
5396.8
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
5299.4
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
5246.5
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
5163.4
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
5111.8
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
4912.8
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
4837.2
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
4808.0
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
4726.9
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
4660.7
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
4582.7
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
4504.0
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
4455.8
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
4237.7
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
4177.3
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
4068.2
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
3928.2
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
3908.7
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
3834.0
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
3819.2
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
3803.7
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
3745.4
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
3676.1
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
3631.2
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
3606.1
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
3546.1
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
3504.5
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
3485.0
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
3482.6
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
3479.2
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
3442.9
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
3438.0
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
3420.8
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
3413.8
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
3399.3
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
3377.2
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
3359.8
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
3354.5
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
3326.6
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
3303.1
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
3256.5
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
3236.3
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
3211.9
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
3170.9
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
3125.3
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
3124.4
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
3107.2
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
3052.6
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
3024.3
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
3019.0
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
2987.8
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
2923.6
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
2921.4
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
2913.3
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
2877.0
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
2870.2
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
2833.8
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
2820.1
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
2793.8
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
2792.3
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
2758.0
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
2729.7
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
2646.4
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
2570.6
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
2565.6
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
2536.0
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
2536.0
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
2519.7
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
2494.0
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
2483.1
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
2457.0
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
2431.6
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
2388.4
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
2368.1
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
2337.2
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
2335.4
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
2328.4
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
2266.6
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
2255.3
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
2253.3
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
2252.3
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
2250.5
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
2215.6
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
2213.6
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
2194.3
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
2190.8
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
2187.2
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
2167.1
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
2145.1
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
2131.5
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
2106.1
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
2100.0
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
2091.2
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
2051.9
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
2048.7
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
2047.3
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
2024.7
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
2023.1
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
2022.8
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
1994.5
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
1976.6
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
1971.8
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
1969.1
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
1961.4
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
1953.1
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
1951.6
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
1950.5
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
1943.5
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
1942.4
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
1941.0
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
1934.3
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
1921.6
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
1919.1
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
1903.7
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
1886.8
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
1885.9
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
1878.8
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
1875.7
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
1864.7
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
1855.4
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
1853.2
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
1848.3
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
1842.3
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
1840.2
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
1835.7
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1832.6
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
1829.0
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
1822.8
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
1820.1
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
1813.7
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
1808.9
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
1808.5
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
1797.0
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
1788.4
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1773.1
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
1764.7
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
1762.6
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
1758.8
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1749.9
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
1744.7
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
1742.1
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
1732.3
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
1730.7
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
1721.2
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
1716.7
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
1703.9
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
1701.0
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
1697.8
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
1694.2
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
1680.5
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
1675.3
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
1665.9
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
1645.2
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
1640.7
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
1614.7
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
1591.6
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
1590.2
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
1585.8
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1576.3
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
1572.9
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
1568.7
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
1567.4
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
1559.6
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
1549.2
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
1543.9
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1541.5
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
1539.5
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
1538.1
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
1524.7
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
1520.4
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
1519.3
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
1518.1
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
1503.4
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
1499.8
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
1497.8
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
1495.7
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
1495.0
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
1494.8
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
1494.1
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
1483.6
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1480.6
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
1479.7
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
1476.8
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
1474.7
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
1474.4
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
1474.2
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
1469.4
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
1467.4
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
1467.4
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
1464.4
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
1453.3
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
1451.0
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
1444.7
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
1438.5
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
1437.0
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
1433.3
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
1423.7
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
1422.7
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
1420.4
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
1420.3
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
1410.8
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
1409.7
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
1409.1
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
1405.3
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
1394.7
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
1388.6
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
1386.4
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
1372.2
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
1367.9
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1367.0
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1366.5
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
1365.3
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
1355.9
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
1348.7
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
1339.3
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
1336.8
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
1333.4
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
1330.8
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
1329.8
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
1319.2
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
1318.0
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
1317.5
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
1310.9
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
1309.4
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
1308.4
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
1294.5
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
1289.1
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
1288.2
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
1285.8
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
1281.6
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
1277.7
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
1274.4
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
1267.5
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
1262.9
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
1262.1
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
1254.6
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
1252.0
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
1252.0
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
1249.0
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
1246.9
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
1244.9
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
1243.7
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
1243.1
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
1240.3
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
1233.6
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
1226.1
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
1216.6
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
1211.2
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1206.4
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
1202.6
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
1195.6
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
1195.5
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
1190.9
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
1184.5
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
1180.6
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
1173.7
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
1164.6
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
1157.2
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
1151.0
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
1146.1
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1142.8
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
1136.9
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
1135.5
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1126.9
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
1125.3
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
1122.1
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
1116.7
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
1114.2
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1108.7
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
1107.1
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
1102.0
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
1091.8
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
1090.9
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
1081.9
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
1072.8
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
1072.4
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
1069.1
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
1067.3
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
1067.1
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
1060.6
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
1060.2
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
1058.5
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
1058.4
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
1052.6
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
1043.4
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
1042.6
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
1040.2
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
1029.3
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
1026.0
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
1017.3
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
1011.7
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
1011.5
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
1006.2
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
1005.4
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
997.7
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
997.2
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
992.2
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
991.7
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
986.5
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
977.7
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
974.3
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
968.1
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
966.2
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
963.5
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
962.7
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
961.6
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
959.0
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
958.5
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
919.4
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
918.2
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
918.1
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
905.7
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
905.5
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
905.4
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
896.5
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
886.2
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
882.4
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
879.3
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
879.0
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
873.5
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
869.3
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
857.4
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
855.3
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
851.8
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
840.8
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
836.6
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
832.9
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
827.1
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
820.6
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
812.0
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
803.0
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
801.7
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
788.9
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
779.6
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
777.6
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
773.1
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
747.4
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
747.4
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
745.4
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
733.5
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
717.2
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
715.4
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
706.6
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
701.1
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
699.1
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
685.6
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
673.3
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
672.5
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
668.3
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
665.9
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
629.2
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
513.1
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
508.6
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 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.
RPS24 is not prognostic in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
2259.9
Number of samples
231
Samples
Sample
Description
pTPM
DO45303
62 years, female, NA, stage:3, alive, 990 days
8797.9
DO45285
59 years, male, NA, stage:3, alive, 480 days
8227.2
DO50785
37 years, male, NA, stage:4, dead, 90 days
7848.2
DO48697
64 years, female, NA, stage:2, dead, 810 days
6550.8
DO45283
60 years, male, NA, stage:3, alive, 510 days
6089.6
DO48706
72 years, male, NA, stage:2, alive, 870 days
5875.0
DO45259
65 years, male, NA, stage:3, alive, 330 days
5800.1
DO48682
72 years, female, NA, stage:3, dead, 120 days
5334.3
DO23508
79 years, female, NA, stage:2, alive, 390 days
5315.8
DO50815
62 years, male, NA, stage:3, alive, 150 days
5305.7
DO45299
70 years, female, NA, stage:1, alive, 1440 days
5228.8
DO45305
66 years, male, NA, stage:4, alive, 300 days
5157.7
DO45251
57 years, female, NA, stage:2, alive, 900 days
5008.0
DO45307
54 years, female, NA, stage:4, dead, 240 days
4953.1
DO48737
52 years, male, NA, stage:1, alive, 720 days
4760.6
DO23515
71 years, male, NA, stage:2, alive, 1230 days
4623.1
DO45211
76 years, male, NA, stage:3, alive, 240 days
4590.8
DO45187
32 years, female, NA, stage:1, alive, 1260 days
4276.9
DO45093
71 years, male, NA, stage:2, dead, 720 days
4206.2
DO50778
60 years, male, NA, stage:4, alive, 630 days
4120.6
DO23530
53 years, male, NA, stage:4, dead, 180 days
4089.9
DO50855
47 years, male, NA, stage:2, alive, 570 days
4057.4
DO45289
78 years, female, NA, stage:3, alive, 360 days
4015.9
DO45297
61 years, female, NA, stage:4, dead, 1260 days
3849.4
DO48730
73 years, female, NA, stage:2, alive, 630 days
3828.6
DO45183
72 years, female, NA, stage:2, dead, 570 days
3825.9
DO45279
67 years, male, NA, stage:3, alive, 1290 days
3805.6
DO45189
85 years, female, NA, stage:2, alive, 1200 days
3803.9
DO45173
63 years, male, NA, stage:3, alive, 1170 days
3768.2
DO45239
42 years, male, NA, stage:2, alive, 870 days
3732.0
DO45219
78 years, male, NA, stage:2, alive, 1080 days
3616.1
DO45127
73 years, male, NA, stage:3, dead, 420 days
3607.6
DO48723
73 years, male, NA, stage:1, alive, 600 days
3596.8
DO23519
65 years, male, NA, stage:3, alive, 630 days
3555.3
DO48715
58 years, female, NA, stage:2, dead, 690 days
3553.5
DO23545
67 years, male, NA, stage:2, dead, 570 days
3527.3
DO45209
70 years, male, NA, stage:4, alive, 1350 days
3516.4
DO45247
31 years, female, NA, stage:2, alive, 210 days
3497.9
DO50806
70 years, male, NA, stage:4, alive, 540 days
3490.7
DO45287
74 years, male, NA, stage:1, alive, 390 days
3472.9
DO45249
57 years, male, NA, stage:1, alive, 630 days
3466.0
DO50799
66 years, female, NA, stage:2, alive, 540 days
3424.6
DO50814
83 years, male, NA, stage:3, alive, 420 days
3385.9
DO45301
56 years, male, NA, stage:2, dead, 1440 days
3383.6
DO23528
45 years, female, NA, stage:2, alive, 1020 days
3353.7
DO48747
62 years, male, NA, stage:3, alive, 540 days
3338.1
DO48720
62 years, female, NA, stage:2, alive, 570 days
3289.5
DO45161
74 years, male, NA, stage:2, dead, 540 days
3265.9
DO50825
70 years, male, NA, stage:2, alive, 390 days
3251.5
DO45217
69 years, female, NA, stage:3, dead, 270 days
3196.4
DO45277
64 years, male, NA, stage:3, alive, 600 days
3155.0
DO50859
77 years, male, NA, stage:2, alive, 180 days
3130.2
DO45269
59 years, male, NA, stage:3, alive, 750 days
3113.6
DO48736
76 years, female, NA, stage:1, alive, 600 days
3089.1
DO45145
78 years, male, NA, stage:3, dead, 60 days
3040.5
DO45213
58 years, male, NA, stage:1, alive, 1200 days
3038.1
DO45103
47 years, male, NA, stage:3, alive, 450 days
3021.7
DO45265
73 years, male, NA, stage:3, alive, 1020 days
3019.4
DO45221
75 years, female, NA, stage:4, dead, 390 days
2983.8
DO50793
76 years, male, NA, stage:4, alive, 540 days
2889.4
DO48681
57 years, male, NA, stage:2, alive, 900 days
2874.3
DO48751
68 years, male, NA, stage:2, dead, 480 days
2873.4
DO45203
71 years, female, NA, stage:2, alive, 1170 days
2838.6
DO45121
61 years, male, NA, stage:3, alive, 1530 days
2814.0
DO45097
69 years, male, NA, stage:3, alive, 1620 days
2783.4
DO45179
78 years, female, NA, stage:2, alive, 600 days
2775.0
DO23542
66 years, male, NA, stage:3, alive, 960 days
2708.9
DO45191
61 years, female, NA, stage:2, alive, 1200 days
2708.3
DO45165
75 years, male, NA, stage:2, alive, 690 days
2703.2
DO48757
68 years, female, NA, stage:3, alive, 480 days
2665.9
DO48725
66 years, male, NA, stage:1, alive, 780 days
2658.6
DO45135
77 years, male, NA, stage:1, alive, 1410 days
2655.1
DO23537
79 years, male, NA, stage:2, dead, 900 days
2652.0
DO23516
69 years, male, NA, stage:3, dead, 20 days
2642.1
DO45281
83 years, male, NA, stage:4, alive, 750 days
2636.0
DO48728
74 years, female, NA, stage:2, alive, 150 days
2618.8
DO45193
68 years, female, NA, stage:4, dead, 120 days
2597.6
DO45171
56 years, male, NA, stage:3, alive, 600 days
2524.3
DO50820
77 years, female, NA, stage:3, alive, 510 days
2516.6
DO48733
72 years, male, NA, stage:2, alive, 600 days
2501.8
DO23543
63 years, male, NA, stage:2, alive, 1020 days
2495.5
DO50809
56 years, male, NA, stage:3, dead, 720 days
2486.3
DO48759
73 years, male, NA, stage:3, alive, 720 days
2485.5
DO45253
50 years, male, NA, stage:2, alive, 870 days
2351.6
DO45273
62 years, male, NA, stage:2, alive, 480 days
2330.2
DO48727
81 years, female, NA, stage:2, dead, 390 days
2310.7
DO45095
66 years, male, NA, stage:2, alive, 1620 days
2307.8
DO45231
84 years, male, NA, stage:2, alive, 930 days
2293.7
DO45141
73 years, male, NA, stage:2, alive, 1320 days
2288.3
DO45227
57 years, female, NA, stage:2, alive, 1020 days
2266.4
DO23525
71 years, male, NA, stage:4, alive, 1050 days
2243.7
DO50802
49 years, male, NA, stage:2, alive, 930 days
2204.7
DO23536
56 years, male, NA, stage:2, alive, 930 days
2185.0
DO50811
62 years, male, NA, stage:1, alive, 450 days
2179.7
DO23526
66 years, male, NA, stage:3, alive, 1050 days
2170.3
DO23547
74 years, male, NA, stage:1, alive, 1020 days
2145.1
DO45261
74 years, male, NA, stage:3, alive, 990 days
2102.4
DO48672
81 years, male, NA, stage:2, alive, 450 days
2101.7
DO45185
89 years, male, NA, stage:2, alive, 600 days
2097.3
DO50844
75 years, male, NA, stage:4, alive, 300 days
2090.6
DO45275
65 years, male, NA, stage:3, dead, 10 days
2065.3
DO23523
52 years, male, NA, stage:3, alive, 1080 days
2042.9
DO45229
74 years, male, NA, stage:1, alive, 990 days
2035.6
DO45092
62 years, male, NA, stage:4, dead, 1200 days
2011.6
DO23533
61 years, male, NA, stage:2, alive, 900 days
2006.8
DO23548
78 years, female, NA, stage:1, alive, 840 days
2000.9
DO23535
67 years, male, NA, stage:1, alive, 960 days
1990.4
DO45267
73 years, male, NA, stage:3, dead, 570 days
1968.1
DO45143
69 years, male, NA, stage:3, alive, 1290 days
1966.9
DO48712
50 years, male, NA, stage:2, alive, 810 days
1906.3
DO50813
56 years, male, NA, stage:2, alive, 420 days
1892.8
DO45243
74 years, female, NA, stage:3, alive, 930 days
1886.2
DO50800
74 years, male, NA, stage:2, alive, 510 days
1882.7
DO45175
74 years, male, NA, stage:2, alive, 1140 days
1863.1
DO45223
67 years, male, NA, stage:4, alive, 1020 days
1859.1
DO45139
63 years, male, NA, stage:3, alive, 1320 days
1854.3
DO45199
86 years, female, NA, stage:2, alive, 1350 days
1848.1
DO45241
49 years, male, NA, stage:1, alive, 1080 days
1842.4
DO23541
65 years, male, NA, stage:2, alive, 930 days
1835.6
DO48704
68 years, female, NA, stage:3, alive, 750 days
1824.6
DO45163
76 years, male, NA, stage:2, alive, 960 days
1811.0
DO45157
62 years, male, NA, stage:2, alive, 1980 days
1802.6
DO23524
71 years, female, NA, stage:2, alive, 1050 days
1801.2
DO45257
46 years, male, NA, stage:3, alive, 810 days
1793.4
DO23514
64 years, male, NA, stage:2, alive, 1290 days
1783.3
DO48677
58 years, male, NA, stage:3, alive, 1140 days
1771.3
DO50805
72 years, male, NA, stage:2, alive, 690 days
1754.1
DO45153
77 years, female, NA, stage:2, alive, 1380 days
1740.5
DO48695
77 years, male, NA, stage:2, alive, 720 days
1737.0
DO45091
56 years, male, NA, stage:2, dead, 1320 days
1681.2
DO50829
78 years, male, NA, stage:3, alive, 570 days
1677.5
DO45255
81 years, male, NA, stage:3, alive, 720 days
1663.1
DO45225
69 years, male, NA, stage:1, alive, 1050 days
1661.6
DO45201
49 years, male, NA, stage:1, alive, 900 days
1654.2
DO48679
72 years, male, NA, stage:2, alive, 1200 days
1608.1
DO50789
73 years, female, NA, stage:2, alive, 570 days
1607.2
DO23511
83 years, female, NA, stage:3, dead, 180 days
1596.2
DO45109
63 years, male, NA, stage:2, alive, 1590 days
1577.2
DO23539
77 years, male, NA, stage:1, alive, 1110 days
1573.7
DO45181
84 years, female, NA, stage:2, alive, 1200 days
1564.0
DO50776
75 years, male, NA, stage:1, alive, 690 days
1553.7
DO23549
74 years, male, NA, stage:3, alive, 990 days
1541.0
DO50839
47 years, female, NA, stage:3, alive, 330 days
1533.2
DO48732
73 years, male, NA, stage:3, alive, 630 days
1530.1
DO23510
80 years, female, NA, stage:2, alive, 870 days
1528.4
DO45177
81 years, female, NA, stage:3, alive, 1260 days
1527.3
DO50822
66 years, male, NA, stage:2, alive, 510 days
1512.4
DO50807
67 years, male, NA, stage:1, alive, 540 days
1497.8
DO45117
73 years, female, NA, stage:2, dead, 1110 days
1491.5
DO50783
62 years, male, NA, stage:3, alive, 480 days
1483.6
DO45123
78 years, female, NA, stage:2, dead, 570 days
1480.6
DO45205
67 years, female, NA, stage:2, dead, 90 days
1480.4
DO23521
63 years, male, NA, stage:3, alive, 1110 days
1455.6
DO45245
75 years, female, NA, stage:2, dead, 240 days
1447.1
DO23546
63 years, male, NA, stage:2, alive, 1050 days
1443.6
DO23529
72 years, male, NA, stage:4, alive, 930 days
1441.2
DO50857
72 years, male, NA, stage:2, alive, 210 days
1438.2
DO45096
69 years, male, NA, stage:2, dead, 1290 days
1434.1
DO45119
74 years, male, NA, stage:3, dead, 510 days
1424.2
DO227643
79 years, male, NA, stage:2, alive, 1260 days
1409.6
DO48761
55 years, male, NA, stage:2, alive, 870 days
1406.9
DO23550
69 years, male, NA, stage:1, alive, 990 days
1399.5
DO45169
74 years, male, NA, stage:3, alive, 1350 days
1399.3
DO50791
79 years, female, NA, stage:1, dead, 480 days
1382.1
DO227801
77 years, female, NA, stage:1, alive, 660 days
1340.9
DO23544
67 years, male, NA, stage:2, alive, 960 days
1338.4
DO48743
69 years, female, NA, stage:2, alive, 570 days
1319.0
DO50818
65 years, male, NA, stage:2, alive, 510 days
1315.8
DO48700
78 years, female, NA, stage:2, alive, 810 days
1306.1
DO45155
69 years, male, NA, stage:2, alive, 2160 days
1295.6
DO45197
51 years, male, NA, stage:2, alive, 1170 days
1294.0
DO50798
77 years, male, NA, stage:3, dead, 30 days
1246.2
DO23512
60 years, male, NA, stage:1, alive, 1260 days
1236.5
DO23527
72 years, male, NA, stage:1, alive, 1050 days
1232.3
DO23551
73 years, male, NA, stage:3, dead, 150 days
1231.6
DO48693
71 years, male, NA, stage:2, alive, 900 days
1225.8
DO45215
65 years, male, NA, stage:2, alive, 1170 days
1212.4
DO50817
75 years, male, NA, stage:2, alive, 390 days
1200.1
DO50787
63 years, male, NA, stage:3, alive, 480 days
1185.7
DO23531
78 years, female, NA, stage:3, alive, 900 days
1183.6
DO45099
46 years, male, NA, stage:3, alive, 1590 days
1180.0
DO23517
62 years, male, NA, stage:2, alive, 1200 days
1175.5
DO45235
68 years, female, NA, stage:1, alive, 900 days
1162.1
DO45131
53 years, male, NA, stage:4, dead, 360 days
1152.4
DO48674
80 years, male, NA, stage:2, alive, 1260 days
1129.5
DO50803
62 years, female, NA, stage:1, alive, 540 days
1114.2
DO48719
80 years, male, NA, stage:2, alive, 690 days
1108.1
DO45159
65 years, male, NA, stage:3, alive, 1470 days
1107.3
DO48721
58 years, female, NA, stage:1, alive, 900 days
1094.9
DO48717
54 years, male, NA, stage:4, dead, 180 days
1079.8
DO48741
64 years, male, NA, stage:3, alive, 240 days
1076.2
DO45233
83 years, male, NA, stage:3, alive, 900 days
1069.3
DO50819
72 years, female, NA, stage:2, alive, 510 days
1066.8
DO45237
58 years, male, NA, stage:2, alive, 900 days
1041.5
DO48746
76 years, male, NA, stage:3, alive, 570 days
1036.5
DO48742
76 years, male, NA, stage:2, alive, 600 days
1026.2
DO23538
67 years, male, NA, stage:2, alive, 450 days
1010.3
DO50850
74 years, male, NA, stage:3, alive, 720 days
995.8
DO45263
67 years, male, NA, stage:3, dead, 270 days
995.0
DO50845
72 years, male, NA, stage:3, alive, 210 days
994.5
DO45115
81 years, male, NA, stage:2, alive, 840 days
987.6
DO45129
61 years, male, NA, stage:3, alive, 1470 days
987.4
DO45137
38 years, male, NA, stage:1, alive, 1320 days
972.3
DO23518
67 years, male, NA, stage:2, alive, 1320 days
953.1
DO45195
62 years, male, NA, stage:1, alive, 390 days
920.1
DO45094
76 years, male, NA, stage:3, alive, 1650 days
916.7
DO50804
81 years, male, NA, stage:2, alive, 720 days
895.7
DO45113
58 years, male, NA, stage:3, alive, 1560 days
891.1
DO48760
70 years, female, NA, stage:2, alive, 690 days
875.0
DO23552
80 years, female, NA, stage:1, alive, 810 days
874.7
DO50774
68 years, female, NA, stage:2, alive, 720 days
858.2
DO45207
68 years, male, NA, stage:1, alive, 1050 days
856.3
DO45101
63 years, male, NA, stage:2, alive, 1680 days
843.7
DO50816
63 years, male, NA, stage:2, alive, 390 days
825.1
DO23509
60 years, male, NA, stage:3, dead, 780 days
796.3
DO50808
68 years, male, NA, stage:2, alive, 570 days
792.0
DO48716
71 years, male, NA, stage:2, alive, 720 days
773.1
DO45133
64 years, male, NA, stage:3, dead, 660 days
769.3
DO23513
76 years, male, NA, stage:3, alive, 1200 days
768.4
DO45105
61 years, male, NA, stage:1, alive, 1680 days
751.3
DO45167
67 years, male, NA, stage:2, dead, 1440 days
726.5
DO48701
78 years, male, NA, stage:2, alive, 780 days
704.1
DO45149
70 years, female, NA, stage:2, alive, 1260 days
674.9
DO23534
60 years, male, NA, stage:2, alive, 840 days
632.0
DO50840
49 years, male, NA, stage:2, alive, 330 days
631.7
DO50832
73 years, male, NA, stage:3, alive, 90 days
627.1
DO45125
58 years, male, NA, stage:3, alive, 1680 days
603.8
DO23540
73 years, male, NA, stage:1, alive, 750 days
498.2
DO45107
63 years, female, NA, stage:2, alive, 1710 days
470.6
DO45111
74 years, male, NA, stage:2, alive, 1590 days
356.9
DO23532
71 years, female, NA, stage:1, alive, 960 days
345.0
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
0.5
537
Tumor
0.4
327
Tumor
0.3
285
Tumor
0.3
113
Tumor
0.3
727
Tumor
0.3
1021
Tumor
0.3
955
Tumor
0.3
467
Tumor
0.3
331
Tumor
0.3
223
Tumor
0.3
353
Tumor
0.3
743
Tumor
0.3
713
Tumor
0.2
815
Tumor
0.2
1026
Normal
0.2
851
Tumor
0.2
636
Normal
0.2
212
Normal
0.2
724
Normal
0.2
367
Tumor
0.2
523
Tumor
0.2
685
Tumor
0.2
393
Tumor
0.2
1042
Normal
0.2
965
Tumor
0.2
484
Normal
0.2
131
Tumor
0.2
864
Normal
0.2
517
Tumor
0.2
227
Tumor
0.2
128
Normal
0.2
195
Tumor
0.2
824
Normal
0.2
944
Normal
0.2
481
Tumor
0.2
286
Normal
0.2
526
Normal
0.2
912
Normal
0.2
661
Tumor
0.2
497
Tumor
0.1
494
Normal
0.1
214
Normal
0.1
1027
Tumor
0.1
983
Tumor
0.1
135
Tumor
0.1
191
Tumor
0.1
1016
Normal
0.1
777
Tumor
0.1
488
Normal
0.1
462
Normal
0.1
967
Tumor
0.1
284
Normal
0.1
448
Normal
0.1
412
Normal
0.1
187
Tumor
0.1
742
Normal
0.1
1046
Normal
0.1
737
Tumor
0.1
387
Tumor
0.1
514
Normal
0.1
723
Tumor
0.1
421
Tumor
0.1
452
Normal
0.1
228
Normal
0.1
756
Normal
0.1
738
Normal
0.1
527
Tumor
0.1
628
Normal
0.1
858
Normal
0.1
957
Tumor
0.1
728
Normal
0.1
818
Normal
0.1
698
Normal
0.1
978
Normal
0.1
111
Normal
0.1
518
Normal
0.1
414
Normal
0.1
982
Normal
0.1
696
Normal
0.1
413
Tumor
0.1
918
Normal
0.1
964
Normal
0.1
937
Tumor
0.1
147
Tumor
0.1
922
Normal
0.1
866
Normal
0.1
778
Normal
0.1
466
Normal
0.1
1025
Tumor
0.1
314
Normal
0.1
145
Tumor
0.1
528
Normal
0.1
534
Normal
0.1
984
Normal
0.1
882
Normal
0.1
436
Normal
0.1
697
Tumor
0.1
525
Tumor
0.1
1028
Normal
0.1
351
Tumor
0.1
926
Normal
0.1
474
Normal
0.1
745
Tumor
0.1
564
Normal
0.1
162
Normal
0.1
1032
Normal
0.1
443
Tumor
0.1
515
Tumor
0.1
714
Normal
0.1
722
Normal
0.1
493
Tumor
0.1
451
Tumor
0.1
1014
Normal
0.1
617
Tumor
0.1
432
Normal
0.1
463
Tumor
0.1
356
Normal
0.1
221
Tumor
0.1
618
Normal
0.1
142
Normal
0.1
464
Normal
0.1
445
Tumor
0.1
424
Normal
0.1
524
Normal
0.0
664
Normal
0.0
852
Normal
0.0
232
Normal
0.0
1022
Normal
0.0
533
Tumor
0.0
224
Normal
0.0
546
Normal
0.0
332
Normal
0.0
112
Tumor
0.0
952
Normal
0.0
446
Normal
0.0
422
Normal
0.0
172
Normal
0.0
976
Normal
0.0
186
Normal
0.0
954
Normal
0.0
455
Tumor
0.0
545
Tumor
0.0
428
Normal
0.0
395
Tumor
0.0
516
Normal
0.0
124
Normal
0.0
363
Tumor
0.0
981
Tumor
0.0
755
Tumor
0.0
392
Normal
0.0
352
Normal
0.0
213
Tumor
0.0
884
Normal
0.0
435
Tumor
0.0
358
Normal
0.0
267
Tumor
0.0
426
Normal
0.0
433
Tumor
0.0
558
Normal
0.0
364
Normal
0.0
554
Normal
0.0
492
Normal
0.0
328
Normal
0.0
468
Normal
0.0
923
Tumor
0.0
648
Normal
0.0
385
Tumor
0.0
956
Normal
0.0
222
Normal
0.0
312
Normal
0.0
431
Tumor
0.0
278
Normal
0.0
127
Tumor
0.0
188
Normal
0.0
355
Tumor
0.0
913
Tumor
0.0
1044
Normal
0.0
394
Normal
0.0
114
Normal
0.0
1015
Tumor
0.0
817
Tumor
0.0
471
Tumor
0.0
258
Normal
0.0
217
Tumor
0.0
126
Normal
0.0
434
Normal
0.0
865
Tumor
0.0
425
Tumor
0.0
362
Normal
0.0
671
Tumor
0.0
376
Normal
0.0
878
Normal
0.0
482
Normal
0.0
968
Normal
0.0
478
Normal
0.0
196
Normal
0.0
662
Normal
0.0
447
Tumor
0.0
573
Tumor
0.0
298
Normal
0.0
686
Normal
0.0
257
Tumor
0.0
785
Tumor
0.0
966
Normal
0.0
915
Tumor
0.0
857
Tumor
0.0
138
Normal
0.0
513
Tumor
0.0
943
Tumor
0.0
368
Normal
0.0
535
Tumor
0.0
953
Tumor
0.0
477
Tumor
0.0
125
Tumor
0.0
814
Normal
0.0
456
Normal
0.0
572
Normal
0.0
642
Normal
0.0
862
Normal
0.0
744
Normal
0.0
786
Normal
-0.1
816
Normal
-0.1
487
Tumor
-0.1
386
Normal
-0.1
873
Tumor
-0.1
574
Normal
-0.1
388
Normal
-0.1
444
Normal
-0.1
867
Tumor
-0.1
277
Tumor
-0.1
473
Tumor
-0.1
666
Normal
-0.1
715
Tumor
-0.1
231
Tumor
-0.1
746
Normal
-0.1
148
Normal
-0.1
553
Tumor
-0.1
665
Tumor
-0.1
136
Normal
-0.1
938
Normal
-0.1
384
Normal
-0.1
342
Normal
-0.1
721
Tumor
-0.1
951
Tumor
-0.1
917
Tumor
-0.1
914
Normal
-0.1
272
Normal
-0.1
616
Normal
-0.1
262
Normal
-0.1
411
Tumor
-0.1
568
Normal
-0.1
663
Tumor
-0.1
647
Tumor
-0.1
465
Tumor
-0.1
132
Normal
-0.1
396
Normal
-0.1
881
Tumor
-0.1
716
Normal
-0.1
563
Tumor
-0.1
571
Tumor
-0.1
461
Tumor
-0.1
1043
Tumor
-0.1
861
Tumor
-0.1
137
Tumor
-0.1
924
Normal
-0.1
391
Tumor
-0.1
171
Tumor
-0.1
416
Normal
-0.1
874
Normal
-0.1
883
Tumor
-0.1
354
Normal
-0.1
863
Tumor
-0.1
921
Tumor
-0.1
975
Tumor
-0.1
415
Tumor
-0.1
498
Normal
-0.1
916
Normal
-0.1
365
Tumor
-0.1
483
Tumor
-0.1
672
Normal
-0.1
536
Normal
-0.1
813
Tumor
-0.1
472
Normal
-0.1
341
Tumor
-0.1
283
Tumor
-0.1
963
Tumor
-0.1
146
Normal
-0.1
218
Normal
-0.1
361
Tumor
-0.1
958
Normal
-0.1
491
Tumor
-0.1
271
Tumor
-0.1
1031
Tumor
-0.1
366
Normal
-0.1
877
Tumor
-0.1
141
Tumor
-0.1
268
Normal
-0.2
375
Tumor
-0.2
823
Tumor
-0.2
211
Tumor
-0.2
357
Tumor
-0.2
423
Tumor
-0.2
427
Tumor
-0.2
185
Tumor
-0.2
741
Tumor
-0.2
161
Tumor
-0.2
261
Tumor
-0.2
344
Normal
-0.2
538
Normal
-0.2
343
Tumor
-0.2
311
Tumor
-0.2
123
Tumor
-0.2
615
Tumor
-0.2
977
Tumor
-0.2
635
Tumor
-0.2
313
Tumor
-0.2
695
Tumor
-0.2
925
Tumor
-0.3
641
Tumor
-0.3
297
Tumor
-0.3
1041
Tumor
-0.3
1045
Tumor
-0.3
1013
Tumor
-0.3
192
Normal
-0.3
383
Tumor
-0.3
868
Normal
-0.4
911
Tumor
-0.4
627
Tumor
-0.4
Show allShow less
LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
