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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.
RPL31 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
1937.5
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
8071.9
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
6202.6
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
5834.1
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
5536.8
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
5404.0
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
5188.0
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
4784.1
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
4779.6
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
4680.7
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
4417.1
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
4415.2
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
4399.3
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
4308.0
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
4278.0
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
4233.4
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
4194.5
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
4192.7
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
4152.6
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
4108.0
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
4067.3
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
4032.3
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
3978.4
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
3844.8
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
3724.9
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
3665.4
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
3607.6
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
3536.7
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
3409.1
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
3380.7
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
3337.8
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
3323.9
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
3298.4
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
3285.2
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
3277.9
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
3277.9
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
3266.2
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
3230.1
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
3228.3
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
3209.8
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
3203.7
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
3177.2
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
3124.6
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
3121.5
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
3119.8
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
3079.0
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
3072.6
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
3036.2
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
3033.4
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
3032.3
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
3022.4
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
2950.1
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
2940.7
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
2934.5
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
2920.4
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
2849.9
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
2840.1
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
2796.8
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
2791.6
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
2732.3
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
2725.6
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
2715.9
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
2648.1
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
2647.3
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
2624.9
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
2594.5
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
2587.3
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
2582.4
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
2579.6
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
2571.4
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
2551.8
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
2546.0
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
2507.7
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
2483.1
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
2470.4
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
2457.1
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
2431.2
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
2414.0
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
2389.4
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
2370.6
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
2368.7
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
2356.2
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
2354.8
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
2344.2
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
2343.1
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
2330.2
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
2296.9
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
2294.9
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
2288.2
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
2281.4
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
2277.3
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
2275.0
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
2271.4
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
2250.9
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
2247.1
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
2243.3
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
2240.8
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
2231.2
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
2210.0
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
2201.2
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
2200.2
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
2176.2
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
2175.3
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
2168.0
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
2167.7
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
2160.0
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
2156.1
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
2150.9
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
2144.1
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
2113.4
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
2107.2
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
2106.0
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
2103.2
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
2099.4
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
2095.8
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
2079.8
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
2069.9
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
2052.9
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
2051.9
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
2045.9
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
2041.3
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
2035.9
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
2034.1
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
2028.7
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
2023.4
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
2021.0
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
2009.4
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
2000.0
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
1989.1
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
1978.9
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
1977.4
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
1976.4
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
1976.4
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
1972.7
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
1957.2
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
1951.1
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
1943.2
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
1942.7
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
1938.9
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
1930.6
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
1904.8
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
1903.3
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
1902.1
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
1901.8
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
1892.3
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
1886.7
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
1884.1
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
1872.0
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
1867.3
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
1865.9
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
1865.3
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
1848.3
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
1848.0
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
1837.0
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
1831.9
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1822.2
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
1814.2
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
1813.8
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
1812.7
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
1811.6
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
1806.9
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
1805.4
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
1804.0
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
1771.6
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
1765.3
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
1764.9
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
1764.8
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
1749.4
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
1748.0
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
1745.4
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
1742.1
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
1734.8
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
1727.1
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
1725.2
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1724.5
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
1719.8
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
1714.3
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
1710.1
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
1707.8
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
1696.2
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
1694.2
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
1688.8
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1688.2
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
1687.8
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
1678.3
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
1670.2
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
1665.3
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
1662.1
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
1651.2
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
1646.5
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
1644.2
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
1641.9
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
1641.6
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
1638.2
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
1623.2
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1617.1
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
1616.5
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
1614.6
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
1605.3
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1598.8
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
1596.9
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
1589.6
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
1588.2
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
1588.0
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
1583.8
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
1567.4
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
1564.2
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
1563.5
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
1562.4
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
1554.9
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
1550.4
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
1549.3
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
1547.5
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
1544.7
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
1540.5
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
1540.4
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
1537.6
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
1533.0
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
1522.5
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
1514.7
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
1501.9
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
1500.0
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
1481.8
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
1467.5
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
1463.4
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
1460.2
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
1458.7
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
1452.6
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1445.1
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
1440.4
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
1434.3
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
1432.7
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
1429.8
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
1422.7
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
1415.6
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
1415.0
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
1404.5
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
1402.6
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
1402.4
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
1401.5
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1395.4
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
1389.8
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1384.4
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
1380.4
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
1377.0
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
1376.8
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
1373.8
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
1372.5
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
1360.9
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
1359.1
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
1354.0
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
1352.2
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
1349.7
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
1341.2
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
1323.3
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
1313.8
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
1313.5
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
1312.3
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
1311.3
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
1310.9
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
1300.2
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
1285.3
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
1275.4
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
1270.3
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
1267.7
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1267.3
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
1266.3
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
1265.5
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
1263.2
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
1259.3
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
1249.5
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
1248.1
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
1234.3
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
1231.8
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
1227.1
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
1226.2
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
1223.7
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
1217.8
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
1216.1
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
1216.0
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
1215.1
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
1215.0
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
1211.0
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
1210.9
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
1210.4
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1209.5
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
1207.0
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
1205.9
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
1202.2
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
1199.5
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
1198.5
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
1195.4
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
1192.8
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
1192.7
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
1186.1
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1183.7
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
1164.8
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
1161.3
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
1156.2
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
1151.9
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
1145.7
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
1145.6
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
1141.7
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
1130.6
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
1128.1
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
1125.8
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
1122.3
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
1121.1
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
1113.2
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
1113.1
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
1100.7
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
1098.3
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
1097.7
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
1092.7
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
1092.5
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
1083.9
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
1071.4
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
1049.0
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
1034.1
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
1025.4
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
1024.1
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
1022.4
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
1018.5
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
1003.3
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
1002.0
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
995.0
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
989.8
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
982.7
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
972.2
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
964.0
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
962.3
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
961.0
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
945.1
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
934.9
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
913.6
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
911.6
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
910.7
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
906.5
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
888.0
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
885.0
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
881.4
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
869.2
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
867.1
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
853.1
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
836.4
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
833.9
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
815.3
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
794.9
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
789.1
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
788.7
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
787.9
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
779.6
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
778.9
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
776.1
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
775.4
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
755.9
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
736.5
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
729.5
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
716.5
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
667.0
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
630.5
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
603.9
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 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.
RPL31 is potential 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
1800.0
Number of samples
231
Samples
Sample
Description
pTPM
DO45285
59 years, male, NA, stage:3, alive, 480 days
7074.1
DO45189
85 years, female, NA, stage:2, alive, 1200 days
5230.4
DO50814
83 years, male, NA, stage:3, alive, 420 days
5057.2
DO45303
62 years, female, NA, stage:3, alive, 990 days
4764.7
DO50815
62 years, male, NA, stage:3, alive, 150 days
4753.9
DO50785
37 years, male, NA, stage:4, dead, 90 days
4698.2
DO45193
68 years, female, NA, stage:4, dead, 120 days
4102.6
DO45289
78 years, female, NA, stage:3, alive, 360 days
3808.4
DO23515
71 years, male, NA, stage:2, alive, 1230 days
3638.9
DO45279
67 years, male, NA, stage:3, alive, 1290 days
3567.9
DO48737
52 years, male, NA, stage:1, alive, 720 days
3535.6
DO23545
67 years, male, NA, stage:2, dead, 570 days
3519.4
DO45305
66 years, male, NA, stage:4, alive, 300 days
3508.8
DO45259
65 years, male, NA, stage:3, alive, 330 days
3504.6
DO45251
57 years, female, NA, stage:2, alive, 900 days
3399.8
DO48682
72 years, female, NA, stage:3, dead, 120 days
3312.7
DO45097
69 years, male, NA, stage:3, alive, 1620 days
3280.0
DO23519
65 years, male, NA, stage:3, alive, 630 days
3247.1
DO23530
53 years, male, NA, stage:4, dead, 180 days
3228.5
DO45301
56 years, male, NA, stage:2, dead, 1440 days
3217.5
DO45307
54 years, female, NA, stage:4, dead, 240 days
3216.9
DO45283
60 years, male, NA, stage:3, alive, 510 days
3158.7
DO45093
71 years, male, NA, stage:2, dead, 720 days
3073.0
DO50799
66 years, female, NA, stage:2, alive, 540 days
3053.7
DO45299
70 years, female, NA, stage:1, alive, 1440 days
3002.9
DO45239
42 years, male, NA, stage:2, alive, 870 days
2945.3
DO48730
73 years, female, NA, stage:2, alive, 630 days
2931.6
DO23508
79 years, female, NA, stage:2, alive, 390 days
2874.9
DO50855
47 years, male, NA, stage:2, alive, 570 days
2825.5
DO45247
31 years, female, NA, stage:2, alive, 210 days
2740.7
DO45127
73 years, male, NA, stage:3, dead, 420 days
2738.8
DO45183
72 years, female, NA, stage:2, dead, 570 days
2717.5
DO45287
74 years, male, NA, stage:1, alive, 390 days
2661.7
DO45231
84 years, male, NA, stage:2, alive, 930 days
2645.6
DO45277
64 years, male, NA, stage:3, alive, 600 days
2636.6
DO48747
62 years, male, NA, stage:3, alive, 540 days
2615.6
DO45209
70 years, male, NA, stage:4, alive, 1350 days
2599.0
DO45173
63 years, male, NA, stage:3, alive, 1170 days
2587.9
DO23528
45 years, female, NA, stage:2, alive, 1020 days
2581.7
DO45297
61 years, female, NA, stage:4, dead, 1260 days
2580.8
DO45249
57 years, male, NA, stage:1, alive, 630 days
2574.8
DO45165
75 years, male, NA, stage:2, alive, 690 days
2573.1
DO23536
56 years, male, NA, stage:2, alive, 930 days
2536.6
DO50859
77 years, male, NA, stage:2, alive, 180 days
2523.3
DO48715
58 years, female, NA, stage:2, dead, 690 days
2445.0
DO45219
78 years, male, NA, stage:2, alive, 1080 days
2433.0
DO45281
83 years, male, NA, stage:4, alive, 750 days
2394.7
DO48736
76 years, female, NA, stage:1, alive, 600 days
2373.6
DO45265
73 years, male, NA, stage:3, alive, 1020 days
2308.7
DO45269
59 years, male, NA, stage:3, alive, 750 days
2290.2
DO45191
61 years, female, NA, stage:2, alive, 1200 days
2288.0
DO45119
74 years, male, NA, stage:3, dead, 510 days
2287.6
DO45267
73 years, male, NA, stage:3, dead, 570 days
2272.4
DO45243
74 years, female, NA, stage:3, alive, 930 days
2252.8
DO45261
74 years, male, NA, stage:3, alive, 990 days
2224.9
DO50791
79 years, female, NA, stage:1, dead, 480 days
2210.5
DO45221
75 years, female, NA, stage:4, dead, 390 days
2204.9
DO45103
47 years, male, NA, stage:3, alive, 450 days
2204.1
DO23525
71 years, male, NA, stage:4, alive, 1050 days
2191.3
DO45227
57 years, female, NA, stage:2, alive, 1020 days
2180.8
DO45213
58 years, male, NA, stage:1, alive, 1200 days
2145.0
DO50806
70 years, male, NA, stage:4, alive, 540 days
2141.0
DO45179
78 years, female, NA, stage:2, alive, 600 days
2131.1
DO23521
63 years, male, NA, stage:3, alive, 1110 days
2123.2
DO48751
68 years, male, NA, stage:2, dead, 480 days
2122.1
DO45187
32 years, female, NA, stage:1, alive, 1260 days
2121.5
DO45245
75 years, female, NA, stage:2, dead, 240 days
2112.6
DO50820
77 years, female, NA, stage:3, alive, 510 days
2104.6
DO45273
62 years, male, NA, stage:2, alive, 480 days
2094.1
DO45145
78 years, male, NA, stage:3, dead, 60 days
2078.2
DO45203
71 years, female, NA, stage:2, alive, 1170 days
2065.0
DO50825
70 years, male, NA, stage:2, alive, 390 days
2058.6
DO50844
75 years, male, NA, stage:4, alive, 300 days
2023.6
DO48757
68 years, female, NA, stage:3, alive, 480 days
2020.3
DO45141
73 years, male, NA, stage:2, alive, 1320 days
2012.9
DO48672
81 years, male, NA, stage:2, alive, 450 days
1999.3
DO45175
74 years, male, NA, stage:2, alive, 1140 days
1970.4
DO48723
73 years, male, NA, stage:1, alive, 600 days
1960.0
DO48697
64 years, female, NA, stage:2, dead, 810 days
1953.9
DO45217
69 years, female, NA, stage:3, dead, 270 days
1953.2
DO23526
66 years, male, NA, stage:3, alive, 1050 days
1946.0
DO45095
66 years, male, NA, stage:2, alive, 1620 days
1918.6
DO50822
66 years, male, NA, stage:2, alive, 510 days
1910.7
DO45092
62 years, male, NA, stage:4, dead, 1200 days
1894.4
DO48741
64 years, male, NA, stage:3, alive, 240 days
1894.3
DO23516
69 years, male, NA, stage:3, dead, 20 days
1873.2
DO45253
50 years, male, NA, stage:2, alive, 870 days
1865.6
DO23537
79 years, male, NA, stage:2, dead, 900 days
1849.5
DO45205
67 years, female, NA, stage:2, dead, 90 days
1838.4
DO45211
76 years, male, NA, stage:3, alive, 240 days
1835.0
DO45135
77 years, male, NA, stage:1, alive, 1410 days
1832.5
DO45199
86 years, female, NA, stage:2, alive, 1350 days
1814.9
DO45161
74 years, male, NA, stage:2, dead, 540 days
1806.4
DO23514
64 years, male, NA, stage:2, alive, 1290 days
1786.4
DO48681
57 years, male, NA, stage:2, alive, 900 days
1776.9
DO50802
49 years, male, NA, stage:2, alive, 930 days
1772.5
DO45225
69 years, male, NA, stage:1, alive, 1050 days
1752.1
DO45185
89 years, male, NA, stage:2, alive, 600 days
1749.8
DO45117
73 years, female, NA, stage:2, dead, 1110 days
1748.3
DO45157
62 years, male, NA, stage:2, alive, 1980 days
1738.0
DO23543
63 years, male, NA, stage:2, alive, 1020 days
1729.7
DO50809
56 years, male, NA, stage:3, dead, 720 days
1703.5
DO48720
62 years, female, NA, stage:2, alive, 570 days
1685.0
DO45275
65 years, male, NA, stage:3, dead, 10 days
1683.4
DO48759
73 years, male, NA, stage:3, alive, 720 days
1674.2
DO45139
63 years, male, NA, stage:3, alive, 1320 days
1657.7
DO50857
72 years, male, NA, stage:2, alive, 210 days
1655.6
DO48732
73 years, male, NA, stage:3, alive, 630 days
1653.1
DO45096
69 years, male, NA, stage:2, dead, 1290 days
1651.6
DO45237
58 years, male, NA, stage:2, alive, 900 days
1641.7
DO50800
74 years, male, NA, stage:2, alive, 510 days
1640.8
DO50811
62 years, male, NA, stage:1, alive, 450 days
1628.2
DO45131
53 years, male, NA, stage:4, dead, 360 days
1605.9
DO45177
81 years, female, NA, stage:3, alive, 1260 days
1605.3
DO23523
52 years, male, NA, stage:3, alive, 1080 days
1583.7
DO23533
61 years, male, NA, stage:2, alive, 900 days
1581.6
DO50805
72 years, male, NA, stage:2, alive, 690 days
1548.4
DO23549
74 years, male, NA, stage:3, alive, 990 days
1543.7
DO48706
72 years, male, NA, stage:2, alive, 870 days
1537.8
DO45163
76 years, male, NA, stage:2, alive, 960 days
1533.0
DO45121
61 years, male, NA, stage:3, alive, 1530 days
1529.0
DO48677
58 years, male, NA, stage:3, alive, 1140 days
1517.5
DO48725
66 years, male, NA, stage:1, alive, 780 days
1505.6
DO45149
70 years, female, NA, stage:2, alive, 1260 days
1500.8
DO23510
80 years, female, NA, stage:2, alive, 870 days
1494.5
DO45153
77 years, female, NA, stage:2, alive, 1380 days
1485.8
DO45143
69 years, male, NA, stage:3, alive, 1290 days
1485.6
DO50783
62 years, male, NA, stage:3, alive, 480 days
1481.5
DO48712
50 years, male, NA, stage:2, alive, 810 days
1474.2
DO45241
49 years, male, NA, stage:1, alive, 1080 days
1473.0
DO45223
67 years, male, NA, stage:4, alive, 1020 days
1471.0
DO45171
56 years, male, NA, stage:3, alive, 600 days
1440.4
DO23547
74 years, male, NA, stage:1, alive, 1020 days
1429.5
DO48727
81 years, female, NA, stage:2, dead, 390 days
1425.0
DO50778
60 years, male, NA, stage:4, alive, 630 days
1424.8
DO45109
63 years, male, NA, stage:2, alive, 1590 days
1414.7
DO45181
84 years, female, NA, stage:2, alive, 1200 days
1409.9
DO50804
81 years, male, NA, stage:2, alive, 720 days
1394.2
DO23542
66 years, male, NA, stage:3, alive, 960 days
1379.1
DO50798
77 years, male, NA, stage:3, dead, 30 days
1377.1
DO50813
56 years, male, NA, stage:2, alive, 420 days
1375.3
DO23538
67 years, male, NA, stage:2, alive, 450 days
1367.7
DO45201
49 years, male, NA, stage:1, alive, 900 days
1355.0
DO50839
47 years, female, NA, stage:3, alive, 330 days
1352.8
DO23529
72 years, male, NA, stage:4, alive, 930 days
1337.6
DO45113
58 years, male, NA, stage:3, alive, 1560 days
1324.2
DO45137
38 years, male, NA, stage:1, alive, 1320 days
1319.9
DO48719
80 years, male, NA, stage:2, alive, 690 days
1302.6
DO48693
71 years, male, NA, stage:2, alive, 900 days
1300.8
DO45229
74 years, male, NA, stage:1, alive, 990 days
1297.0
DO45091
56 years, male, NA, stage:2, dead, 1320 days
1255.6
DO50829
78 years, male, NA, stage:3, alive, 570 days
1255.5
DO48717
54 years, male, NA, stage:4, dead, 180 days
1246.9
DO45233
83 years, male, NA, stage:3, alive, 900 days
1239.0
DO23546
63 years, male, NA, stage:2, alive, 1050 days
1233.1
DO45155
69 years, male, NA, stage:2, alive, 2160 days
1225.5
DO227801
77 years, female, NA, stage:1, alive, 660 days
1225.2
DO45207
68 years, male, NA, stage:1, alive, 1050 days
1217.6
DO45123
78 years, female, NA, stage:2, dead, 570 days
1215.0
DO50789
73 years, female, NA, stage:2, alive, 570 days
1200.4
DO50816
63 years, male, NA, stage:2, alive, 390 days
1199.8
DO50776
75 years, male, NA, stage:1, alive, 690 days
1183.9
DO50818
65 years, male, NA, stage:2, alive, 510 days
1157.5
DO45169
74 years, male, NA, stage:3, alive, 1350 days
1147.7
DO23548
78 years, female, NA, stage:1, alive, 840 days
1142.1
DO50793
76 years, male, NA, stage:4, alive, 540 days
1138.9
DO227643
79 years, male, NA, stage:2, alive, 1260 days
1136.9
DO50787
63 years, male, NA, stage:3, alive, 480 days
1136.8
DO23524
71 years, female, NA, stage:2, alive, 1050 days
1133.6
DO50808
68 years, male, NA, stage:2, alive, 570 days
1131.8
DO50774
68 years, female, NA, stage:2, alive, 720 days
1131.1
DO48743
69 years, female, NA, stage:2, alive, 570 days
1124.2
DO23531
78 years, female, NA, stage:3, alive, 900 days
1124.0
DO48700
78 years, female, NA, stage:2, alive, 810 days
1116.6
DO45159
65 years, male, NA, stage:3, alive, 1470 days
1114.5
DO48746
76 years, male, NA, stage:3, alive, 570 days
1111.9
DO45255
81 years, male, NA, stage:3, alive, 720 days
1111.5
DO45115
81 years, male, NA, stage:2, alive, 840 days
1092.3
DO48695
77 years, male, NA, stage:2, alive, 720 days
1085.6
DO50850
74 years, male, NA, stage:3, alive, 720 days
1082.1
DO45263
67 years, male, NA, stage:3, dead, 270 days
1076.3
DO45257
46 years, male, NA, stage:3, alive, 810 days
1052.3
DO45133
64 years, male, NA, stage:3, dead, 660 days
1049.6
DO23517
62 years, male, NA, stage:2, alive, 1200 days
1041.6
DO23512
60 years, male, NA, stage:1, alive, 1260 days
1041.1
DO48679
72 years, male, NA, stage:2, alive, 1200 days
1040.7
DO23539
77 years, male, NA, stage:1, alive, 1110 days
1029.6
DO23511
83 years, female, NA, stage:3, dead, 180 days
1029.2
DO48761
55 years, male, NA, stage:2, alive, 870 days
1020.3
DO23527
72 years, male, NA, stage:1, alive, 1050 days
1016.2
DO48728
74 years, female, NA, stage:2, alive, 150 days
1012.6
DO45235
68 years, female, NA, stage:1, alive, 900 days
1000.1
DO50819
72 years, female, NA, stage:2, alive, 510 days
965.6
DO23544
67 years, male, NA, stage:2, alive, 960 days
958.8
DO23509
60 years, male, NA, stage:3, dead, 780 days
958.1
DO45125
58 years, male, NA, stage:3, alive, 1680 days
957.1
DO23518
67 years, male, NA, stage:2, alive, 1320 days
956.0
DO45099
46 years, male, NA, stage:3, alive, 1590 days
946.6
DO50832
73 years, male, NA, stage:3, alive, 90 days
945.9
DO50845
72 years, male, NA, stage:3, alive, 210 days
942.1
DO23541
65 years, male, NA, stage:2, alive, 930 days
936.9
DO50817
75 years, male, NA, stage:2, alive, 390 days
936.9
DO48733
72 years, male, NA, stage:2, alive, 600 days
934.5
DO45215
65 years, male, NA, stage:2, alive, 1170 days
932.0
DO23540
73 years, male, NA, stage:1, alive, 750 days
924.3
DO45094
76 years, male, NA, stage:3, alive, 1650 days
920.6
DO45129
61 years, male, NA, stage:3, alive, 1470 days
908.3
DO50807
67 years, male, NA, stage:1, alive, 540 days
893.1
DO48674
80 years, male, NA, stage:2, alive, 1260 days
890.9
DO23534
60 years, male, NA, stage:2, alive, 840 days
889.3
DO48742
76 years, male, NA, stage:2, alive, 600 days
867.9
DO48721
58 years, female, NA, stage:1, alive, 900 days
862.3
DO48760
70 years, female, NA, stage:2, alive, 690 days
860.6
DO45197
51 years, male, NA, stage:2, alive, 1170 days
855.9
DO23513
76 years, male, NA, stage:3, alive, 1200 days
844.1
DO48716
71 years, male, NA, stage:2, alive, 720 days
840.4
DO50803
62 years, female, NA, stage:1, alive, 540 days
822.3
DO45101
63 years, male, NA, stage:2, alive, 1680 days
821.9
DO50840
49 years, male, NA, stage:2, alive, 330 days
807.5
DO48704
68 years, female, NA, stage:3, alive, 750 days
781.2
DO23551
73 years, male, NA, stage:3, dead, 150 days
772.7
DO45195
62 years, male, NA, stage:1, alive, 390 days
720.3
DO48701
78 years, male, NA, stage:2, alive, 780 days
705.9
DO23535
67 years, male, NA, stage:1, alive, 960 days
681.5
DO45111
74 years, male, NA, stage:2, alive, 1590 days
667.0
DO45107
63 years, female, NA, stage:2, alive, 1710 days
649.8
DO23532
71 years, female, NA, stage:1, alive, 960 days
641.1
DO23552
80 years, female, NA, stage:1, alive, 810 days
626.8
DO45105
61 years, male, NA, stage:1, alive, 1680 days
608.6
DO23550
69 years, male, NA, stage:1, alive, 990 days
589.8
DO45167
67 years, male, NA, stage:2, dead, 1440 days
473.2
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
557
Tumor
0.6
685
Tumor
0.5
367
Tumor
0.5
285
Tumor
0.4
113
Tumor
0.4
393
Tumor
0.4
327
Tumor
0.4
481
Tumor
0.4
918
Normal
0.4
353
Tumor
0.3
395
Tumor
0.3
1021
Tumor
0.3
467
Tumor
0.3
331
Tumor
0.3
661
Tumor
0.3
131
Tumor
0.3
965
Tumor
0.3
537
Tumor
0.3
743
Tumor
0.3
922
Normal
0.3
135
Tumor
0.3
617
Tumor
0.3
983
Tumor
0.3
413
Tumor
0.3
964
Normal
0.3
636
Normal
0.3
387
Tumor
0.3
937
Tumor
0.3
966
Normal
0.3
724
Normal
0.3
267
Tumor
0.3
1025
Tumor
0.2
851
Tumor
0.2
223
Tumor
0.2
195
Tumor
0.2
958
Normal
0.2
385
Tumor
0.2
745
Tumor
0.2
955
Tumor
0.2
567
Tumor
0.2
944
Normal
0.2
232
Normal
0.2
865
Tumor
0.2
1027
Tumor
0.2
443
Tumor
0.2
376
Normal
0.2
672
Normal
0.2
815
Tumor
0.2
392
Normal
0.2
671
Tumor
0.2
777
Tumor
0.2
564
Normal
0.2
314
Normal
0.2
258
Normal
0.2
938
Normal
0.2
696
Normal
0.2
817
Tumor
0.2
412
Normal
0.2
523
Tumor
0.2
227
Tumor
0.2
662
Normal
0.2
191
Tumor
0.2
864
Normal
0.2
926
Normal
0.2
984
Normal
0.2
1044
Normal
0.2
212
Normal
0.2
362
Normal
0.2
414
Normal
0.2
968
Normal
0.2
572
Normal
0.2
666
Normal
0.2
257
Tumor
0.2
426
Normal
0.2
951
Tumor
0.2
422
Normal
0.2
923
Tumor
0.2
436
Normal
0.2
462
Normal
0.2
721
Tumor
0.2
568
Normal
0.2
332
Normal
0.2
214
Normal
0.2
497
Tumor
0.2
978
Normal
0.2
558
Normal
0.2
368
Normal
0.2
123
Tumor
0.1
446
Normal
0.1
518
Normal
0.1
664
Normal
0.1
1015
Tumor
0.1
1016
Normal
0.1
114
Normal
0.1
866
Normal
0.1
778
Normal
0.1
785
Tumor
0.1
957
Tumor
0.1
137
Tumor
0.1
628
Normal
0.1
278
Normal
0.1
128
Normal
0.1
648
Normal
0.1
384
Normal
0.1
142
Normal
0.1
448
Normal
0.1
222
Normal
0.1
517
Tumor
0.1
221
Tumor
0.1
528
Normal
0.1
952
Normal
0.1
218
Normal
0.1
665
Tumor
0.1
976
Normal
0.1
394
Normal
0.1
618
Normal
0.1
641
Tumor
0.1
466
Normal
0.1
356
Normal
0.1
1014
Normal
0.1
536
Normal
0.1
824
Normal
0.1
136
Normal
0.1
727
Tumor
0.1
756
Normal
0.1
473
Tumor
0.1
474
Normal
0.1
713
Tumor
0.1
715
Tumor
0.1
963
Tumor
0.1
358
Normal
0.1
912
Normal
0.1
714
Normal
0.1
388
Normal
0.1
1042
Normal
0.1
574
Normal
0.1
1026
Normal
0.1
112
Tumor
0.1
755
Tumor
0.1
217
Tumor
0.1
982
Normal
0.1
228
Normal
0.1
873
Tumor
0.1
231
Tumor
0.1
284
Normal
0.1
722
Normal
0.1
471
Tumor
0.1
635
Tumor
0.1
213
Tumor
0.1
451
Tumor
0.1
916
Normal
0.1
196
Normal
0.1
981
Tumor
0.1
272
Normal
0.1
852
Normal
0.1
277
Tumor
0.1
286
Normal
0.1
535
Tumor
0.1
862
Normal
0.1
1046
Normal
0.1
571
Tumor
0.1
386
Normal
0.1
716
Normal
0.1
573
Tumor
0.1
615
Tumor
0.1
312
Normal
0.1
728
Normal
0.1
396
Normal
0.1
738
Normal
0.1
464
Normal
0.1
298
Normal
0.1
1032
Normal
0.1
262
Normal
0.1
746
Normal
0.1
882
Normal
0.1
172
Normal
0.1
723
Tumor
0.1
546
Normal
0.1
187
Tumor
0.1
1031
Tumor
0.1
431
Tumor
0.1
663
Tumor
0.1
271
Tumor
0.1
1022
Normal
0.1
126
Normal
0.1
924
Normal
0.1
642
Normal
0.1
111
Normal
0.1
868
Normal
0.1
132
Normal
0.1
261
Tumor
0.1
127
Tumor
0.1
482
Normal
0.1
421
Tumor
0.1
366
Normal
0.1
162
Normal
0.1
452
Normal
0.1
975
Tumor
0.1
186
Normal
0.1
954
Normal
0.1
742
Normal
0.1
411
Tumor
0.1
1028
Normal
0.0
913
Tumor
0.0
432
Normal
0.0
351
Tumor
0.0
516
Normal
0.0
375
Tumor
0.0
967
Tumor
0.0
472
Normal
0.0
737
Tumor
0.0
515
Tumor
0.0
468
Normal
0.0
434
Normal
0.0
463
Tumor
0.0
534
Normal
0.0
697
Tumor
0.0
858
Normal
0.0
433
Tumor
0.0
138
Normal
0.0
424
Normal
0.0
456
Normal
0.0
686
Normal
0.0
124
Normal
0.0
525
Tumor
0.0
444
Normal
0.0
297
Tumor
0.0
1013
Tumor
0.0
211
Tumor
0.0
514
Normal
0.0
423
Tumor
0.0
526
Normal
0.0
455
Tumor
0.0
363
Tumor
0.0
352
Normal
0.0
786
Normal
0.0
145
Tumor
0.0
698
Normal
0.0
563
Tumor
0.0
915
Tumor
0.0
878
Normal
0.0
695
Tumor
0.0
647
Tumor
0.0
427
Tumor
0.0
818
Normal
0.0
268
Normal
0.0
342
Normal
0.0
361
Tumor
0.0
956
Normal
0.0
147
Tumor
0.0
953
Tumor
0.0
1043
Tumor
0.0
188
Normal
0.0
823
Tumor
0.0
391
Tumor
0.0
861
Tumor
0.0
884
Normal
0.0
344
Normal
0.0
493
Tumor
0.0
921
Tumor
0.0
355
Tumor
0.0
435
Tumor
0.0
917
Tumor
0.0
328
Normal
0.0
554
Normal
0.0
148
Normal
0.0
545
Tumor
0.0
354
Normal
0.0
357
Tumor
0.0
857
Tumor
0.0
447
Tumor
0.0
627
Tumor
0.0
616
Normal
-0.1
816
Normal
-0.1
488
Normal
-0.1
146
Normal
-0.1
461
Tumor
-0.1
425
Tumor
-0.1
533
Tumor
-0.1
161
Tumor
-0.1
465
Tumor
-0.1
513
Tumor
-0.1
874
Normal
-0.1
428
Normal
-0.1
814
Normal
-0.1
141
Tumor
-0.1
867
Tumor
-0.1
977
Tumor
-0.1
364
Normal
-0.1
943
Tumor
-0.1
494
Normal
-0.1
881
Tumor
-0.1
744
Normal
-0.1
445
Tumor
-0.1
883
Tumor
-0.1
813
Tumor
-0.1
524
Normal
-0.1
365
Tumor
-0.1
224
Normal
-0.1
171
Tumor
-0.1
415
Tumor
-0.1
1041
Tumor
-0.1
538
Normal
-0.1
341
Tumor
-0.1
185
Tumor
-0.1
416
Normal
-0.1
484
Normal
-0.1
383
Tumor
-0.1
477
Tumor
-0.1
478
Normal
-0.1
1045
Tumor
-0.1
527
Tumor
-0.1
487
Tumor
-0.1
925
Tumor
-0.1
343
Tumor
-0.1
914
Normal
-0.1
192
Normal
-0.2
553
Tumor
-0.2
498
Normal
-0.2
313
Tumor
-0.2
283
Tumor
-0.2
483
Tumor
-0.2
492
Normal
-0.2
863
Tumor
-0.2
311
Tumor
-0.3
911
Tumor
-0.3
125
Tumor
-0.3
877
Tumor
-0.3
741
Tumor
-0.4
491
Tumor
-0.4
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LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
