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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.
RPS17 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
2055.8
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
7777.9
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
6987.5
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
6903.3
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
6832.6
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
6450.0
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
5749.4
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
5348.6
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
5344.1
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
5130.4
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
5078.7
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
4951.7
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
4855.9
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
4609.0
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
4544.6
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
4441.5
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
4435.4
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
4400.2
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
4338.4
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
4243.6
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
4102.7
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
3973.2
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
3927.2
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
3925.3
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
3922.3
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
3912.8
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
3854.1
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
3797.3
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
3702.4
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
3642.0
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
3623.3
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
3592.4
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
3583.4
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
3557.9
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
3507.9
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
3489.1
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
3466.0
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
3447.9
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
3426.5
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
3412.0
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
3411.7
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
3398.1
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
3307.1
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
3273.7
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
3262.0
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
3243.2
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
3223.4
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
3197.7
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
3194.9
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
3188.1
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
3178.1
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
3173.0
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
3158.7
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
3123.1
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
3114.1
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
3108.3
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
3075.8
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
3055.5
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
3025.4
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
3002.3
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
2985.8
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
2970.3
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
2937.9
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
2914.6
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
2907.3
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
2899.7
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
2894.3
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
2887.8
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
2819.8
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
2783.8
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
2777.2
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
2757.3
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
2756.6
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
2746.0
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
2735.7
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
2720.7
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
2709.4
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
2684.1
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
2677.2
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
2675.2
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
2658.6
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
2653.2
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
2625.1
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
2600.5
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
2583.5
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
2568.4
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
2563.2
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
2559.9
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
2554.4
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
2549.6
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
2540.5
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
2524.7
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
2514.7
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
2495.9
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
2469.6
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
2459.5
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
2432.7
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
2419.9
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
2324.3
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
2300.2
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
2273.6
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
2270.6
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
2270.5
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
2248.6
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
2217.2
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
2214.7
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
2196.0
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
2168.6
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
2139.7
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
2126.7
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
2120.4
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
2118.1
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
2101.9
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
2101.8
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
2078.6
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
2075.4
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
2070.2
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
2066.7
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
2061.9
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
2061.2
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
2035.8
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
2027.5
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
2023.1
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
2019.7
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
2017.3
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
2010.7
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
2002.0
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
2000.3
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
1983.3
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
1979.1
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
1975.0
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
1969.3
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
1966.4
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
1963.9
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
1963.7
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
1953.9
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
1953.2
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
1943.0
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
1937.5
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
1934.7
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
1930.3
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
1926.5
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
1925.1
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
1923.1
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
1918.1
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
1914.7
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
1912.7
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
1911.0
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
1890.3
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
1890.1
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1888.2
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
1883.4
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
1882.4
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
1878.4
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
1878.3
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
1870.4
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
1867.3
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
1866.8
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
1866.4
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
1861.8
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
1857.4
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
1857.4
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1855.4
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1847.3
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
1843.4
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
1841.2
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
1841.1
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
1837.9
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
1836.8
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
1829.6
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1827.1
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
1824.0
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
1817.3
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
1816.8
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
1810.5
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
1806.7
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
1805.6
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
1805.4
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
1805.0
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
1803.3
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
1802.3
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
1802.0
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
1801.0
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
1800.2
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
1796.1
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
1790.8
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
1788.5
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
1788.4
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
1769.8
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
1767.1
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
1766.0
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
1763.1
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
1762.9
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
1760.2
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
1759.2
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1749.5
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
1745.3
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
1744.1
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
1740.7
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1732.8
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
1726.9
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
1722.2
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
1718.8
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
1715.7
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
1707.0
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
1703.5
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
1701.1
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
1701.1
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
1698.8
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
1690.7
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
1681.7
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
1677.8
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
1653.9
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
1652.7
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
1647.1
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
1644.3
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
1628.8
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
1628.2
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
1624.9
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
1624.7
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1622.8
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
1619.3
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
1605.0
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
1603.9
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
1599.0
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
1584.5
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
1573.8
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1558.7
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
1551.3
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
1534.7
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
1531.7
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
1531.2
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
1524.8
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
1521.3
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
1520.5
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
1515.0
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
1496.5
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
1492.0
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
1488.6
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
1482.4
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
1481.5
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1480.1
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
1479.7
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
1478.7
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
1474.6
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
1464.6
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
1456.6
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
1451.7
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
1446.3
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
1443.1
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
1442.1
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
1434.9
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
1428.4
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
1421.3
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
1416.1
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
1412.2
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
1407.9
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
1391.8
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
1391.4
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
1387.3
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
1381.0
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
1370.7
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
1370.6
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
1368.8
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
1364.8
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
1362.5
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
1359.7
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
1357.3
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
1348.0
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1345.0
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
1330.8
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
1316.7
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
1306.9
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
1306.7
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
1306.2
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
1303.9
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
1286.4
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
1284.8
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
1283.2
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
1281.7
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
1271.8
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
1241.0
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
1216.7
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
1216.1
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
1215.3
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
1212.1
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
1207.5
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
1207.2
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
1203.1
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
1199.4
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
1197.5
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
1196.9
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
1191.9
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
1184.2
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
1180.4
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
1180.2
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
1177.4
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
1176.0
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
1174.9
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
1169.6
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
1167.6
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
1164.9
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
1164.5
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
1154.2
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
1152.4
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
1149.8
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
1138.9
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
1136.6
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
1134.8
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
1134.1
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
1131.2
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
1113.3
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
1109.4
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
1108.1
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
1105.7
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
1103.0
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
1084.7
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
1065.8
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
1060.5
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
1056.4
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
1053.8
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
1051.3
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
1042.7
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
1040.3
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
1038.5
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
1031.1
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
1026.0
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
1020.4
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
986.9
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
985.2
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
971.7
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
971.5
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
969.5
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
966.0
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
963.2
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
952.9
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
952.3
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
945.4
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
942.3
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
940.5
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
932.7
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
917.3
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
914.1
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
911.5
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
901.4
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
884.0
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
879.6
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
869.1
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
864.2
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
861.0
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
850.5
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
822.2
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
803.8
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
802.5
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
798.7
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
793.5
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
776.2
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
772.2
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
772.0
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
759.2
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
734.1
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
729.9
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.
RPS17 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.
: N/A
Median expressioni
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
0.6
Number of samples
231
Samples
Sample
Description
pTPM
DO45285
59 years, male, NA, stage:3, alive, 480 days
3.2
DO50785
37 years, male, NA, stage:4, dead, 90 days
3.1
DO23511
83 years, female, NA, stage:3, dead, 180 days
2.4
DO48682
72 years, female, NA, stage:3, dead, 120 days
2.2
DO50815
62 years, male, NA, stage:3, alive, 150 days
1.8
DO48697
64 years, female, NA, stage:2, dead, 810 days
1.6
DO45129
61 years, male, NA, stage:3, alive, 1470 days
1.6
DO45119
74 years, male, NA, stage:3, dead, 510 days
1.5
DO45247
31 years, female, NA, stage:2, alive, 210 days
1.5
DO45127
73 years, male, NA, stage:3, dead, 420 days
1.5
DO45096
69 years, male, NA, stage:2, dead, 1290 days
1.5
DO45305
66 years, male, NA, stage:4, alive, 300 days
1.5
DO48759
73 years, male, NA, stage:3, alive, 720 days
1.4
DO50806
70 years, male, NA, stage:4, alive, 540 days
1.3
DO23551
73 years, male, NA, stage:3, dead, 150 days
1.3
DO45203
71 years, female, NA, stage:2, alive, 1170 days
1.2
DO50778
60 years, male, NA, stage:4, alive, 630 days
1.2
DO23508
79 years, female, NA, stage:2, alive, 390 days
1.2
DO50791
79 years, female, NA, stage:1, dead, 480 days
1.2
DO45211
76 years, male, NA, stage:3, alive, 240 days
1.2
DO45277
64 years, male, NA, stage:3, alive, 600 days
1.2
DO45107
63 years, female, NA, stage:2, alive, 1710 days
1.2
DO23515
71 years, male, NA, stage:2, alive, 1230 days
1.2
DO48720
62 years, female, NA, stage:2, alive, 570 days
1.2
DO45117
73 years, female, NA, stage:2, dead, 1110 days
1.1
DO48751
68 years, male, NA, stage:2, dead, 480 days
1.1
DO48737
52 years, male, NA, stage:1, alive, 720 days
1.1
DO23513
76 years, male, NA, stage:3, alive, 1200 days
1.1
DO45239
42 years, male, NA, stage:2, alive, 870 days
1.1
DO45093
71 years, male, NA, stage:2, dead, 720 days
1.1
DO50793
76 years, male, NA, stage:4, alive, 540 days
1.0
DO45217
69 years, female, NA, stage:3, dead, 270 days
1.0
DO23519
65 years, male, NA, stage:3, alive, 630 days
1.0
DO45153
77 years, female, NA, stage:2, alive, 1380 days
1.0
DO45287
74 years, male, NA, stage:1, alive, 390 days
1.0
DO45183
72 years, female, NA, stage:2, dead, 570 days
1.0
DO45187
32 years, female, NA, stage:1, alive, 1260 days
0.9
DO45289
78 years, female, NA, stage:3, alive, 360 days
0.9
DO45155
69 years, male, NA, stage:2, alive, 2160 days
0.9
DO45115
81 years, male, NA, stage:2, alive, 840 days
0.9
DO45245
75 years, female, NA, stage:2, dead, 240 days
0.9
DO45251
57 years, female, NA, stage:2, alive, 900 days
0.9
DO50855
47 years, male, NA, stage:2, alive, 570 days
0.8
DO23548
78 years, female, NA, stage:1, alive, 840 days
0.8
DO45283
60 years, male, NA, stage:3, alive, 510 days
0.8
DO45269
59 years, male, NA, stage:3, alive, 750 days
0.8
DO45299
70 years, female, NA, stage:1, alive, 1440 days
0.8
DO48725
66 years, male, NA, stage:1, alive, 780 days
0.8
DO50819
72 years, female, NA, stage:2, alive, 510 days
0.8
DO50776
75 years, male, NA, stage:1, alive, 690 days
0.8
DO45303
62 years, female, NA, stage:3, alive, 990 days
0.8
DO23550
69 years, male, NA, stage:1, alive, 990 days
0.8
DO45279
67 years, male, NA, stage:3, alive, 1290 days
0.8
DO50816
63 years, male, NA, stage:2, alive, 390 days
0.8
DO45261
74 years, male, NA, stage:3, alive, 990 days
0.8
DO48701
78 years, male, NA, stage:2, alive, 780 days
0.8
DO23525
71 years, male, NA, stage:4, alive, 1050 days
0.8
DO45231
84 years, male, NA, stage:2, alive, 930 days
0.8
DO45249
57 years, male, NA, stage:1, alive, 630 days
0.7
DO23535
67 years, male, NA, stage:1, alive, 960 days
0.7
DO50802
49 years, male, NA, stage:2, alive, 930 days
0.7
DO48723
73 years, male, NA, stage:1, alive, 600 days
0.7
DO23542
66 years, male, NA, stage:3, alive, 960 days
0.7
DO23552
80 years, female, NA, stage:1, alive, 810 days
0.7
DO45149
70 years, female, NA, stage:2, alive, 1260 days
0.7
DO45301
56 years, male, NA, stage:2, dead, 1440 days
0.7
DO50859
77 years, male, NA, stage:2, alive, 180 days
0.7
DO45137
38 years, male, NA, stage:1, alive, 1320 days
0.7
DO45195
62 years, male, NA, stage:1, alive, 390 days
0.7
DO45145
78 years, male, NA, stage:3, dead, 60 days
0.7
DO45265
73 years, male, NA, stage:3, alive, 1020 days
0.7
DO50845
72 years, male, NA, stage:3, alive, 210 days
0.7
DO50811
62 years, male, NA, stage:1, alive, 450 days
0.7
DO48679
72 years, male, NA, stage:2, alive, 1200 days
0.7
DO50799
66 years, female, NA, stage:2, alive, 540 days
0.7
DO48721
58 years, female, NA, stage:1, alive, 900 days
0.7
DO45263
67 years, male, NA, stage:3, dead, 270 days
0.6
DO45189
85 years, female, NA, stage:2, alive, 1200 days
0.6
DO45297
61 years, female, NA, stage:4, dead, 1260 days
0.6
DO45307
54 years, female, NA, stage:4, dead, 240 days
0.6
DO23521
63 years, male, NA, stage:3, alive, 1110 days
0.6
DO23540
73 years, male, NA, stage:1, alive, 750 days
0.6
DO48728
74 years, female, NA, stage:2, alive, 150 days
0.6
DO45193
68 years, female, NA, stage:4, dead, 120 days
0.6
DO23530
53 years, male, NA, stage:4, dead, 180 days
0.6
DO48706
72 years, male, NA, stage:2, alive, 870 days
0.6
DO45191
61 years, female, NA, stage:2, alive, 1200 days
0.6
DO45273
62 years, male, NA, stage:2, alive, 480 days
0.6
DO45257
46 years, male, NA, stage:3, alive, 810 days
0.6
DO45209
70 years, male, NA, stage:4, alive, 1350 days
0.6
DO48717
54 years, male, NA, stage:4, dead, 180 days
0.6
DO45197
51 years, male, NA, stage:2, alive, 1170 days
0.6
DO45275
65 years, male, NA, stage:3, dead, 10 days
0.6
DO45177
81 years, female, NA, stage:3, alive, 1260 days
0.6
DO48732
73 years, male, NA, stage:3, alive, 630 days
0.6
DO48674
80 years, male, NA, stage:2, alive, 1260 days
0.6
DO45161
74 years, male, NA, stage:2, dead, 540 days
0.6
DO48742
76 years, male, NA, stage:2, alive, 600 days
0.6
DO48746
76 years, male, NA, stage:3, alive, 570 days
0.6
DO48747
62 years, male, NA, stage:3, alive, 540 days
0.6
DO50822
66 years, male, NA, stage:2, alive, 510 days
0.6
DO50805
72 years, male, NA, stage:2, alive, 690 days
0.6
DO50809
56 years, male, NA, stage:3, dead, 720 days
0.6
DO45221
75 years, female, NA, stage:4, dead, 390 days
0.6
DO23524
71 years, female, NA, stage:2, alive, 1050 days
0.6
DO48715
58 years, female, NA, stage:2, dead, 690 days
0.6
DO23516
69 years, male, NA, stage:3, dead, 20 days
0.6
DO45253
50 years, male, NA, stage:2, alive, 870 days
0.6
DO48736
76 years, female, NA, stage:1, alive, 600 days
0.6
DO23545
67 years, male, NA, stage:2, dead, 570 days
0.6
DO45281
83 years, male, NA, stage:4, alive, 750 days
0.6
DO45241
49 years, male, NA, stage:1, alive, 1080 days
0.5
DO48672
81 years, male, NA, stage:2, alive, 450 days
0.5
DO45201
49 years, male, NA, stage:1, alive, 900 days
0.5
DO45123
78 years, female, NA, stage:2, dead, 570 days
0.5
DO45141
73 years, male, NA, stage:2, alive, 1320 days
0.5
DO45109
63 years, male, NA, stage:2, alive, 1590 days
0.5
DO45165
75 years, male, NA, stage:2, alive, 690 days
0.5
DO23531
78 years, female, NA, stage:3, alive, 900 days
0.5
DO23526
66 years, male, NA, stage:3, alive, 1050 days
0.5
DO45139
63 years, male, NA, stage:3, alive, 1320 days
0.5
DO45219
78 years, male, NA, stage:2, alive, 1080 days
0.5
DO45125
58 years, male, NA, stage:3, alive, 1680 days
0.5
DO45091
56 years, male, NA, stage:2, dead, 1320 days
0.5
DO45103
47 years, male, NA, stage:3, alive, 450 days
0.5
DO50774
68 years, female, NA, stage:2, alive, 720 days
0.5
DO45233
83 years, male, NA, stage:3, alive, 900 days
0.5
DO23543
63 years, male, NA, stage:2, alive, 1020 days
0.5
DO48730
73 years, female, NA, stage:2, alive, 630 days
0.5
DO23536
56 years, male, NA, stage:2, alive, 930 days
0.5
DO23547
74 years, male, NA, stage:1, alive, 1020 days
0.5
DO45175
74 years, male, NA, stage:2, alive, 1140 days
0.5
DO45259
65 years, male, NA, stage:3, alive, 330 days
0.5
DO50814
83 years, male, NA, stage:3, alive, 420 days
0.5
DO45135
77 years, male, NA, stage:1, alive, 1410 days
0.4
DO23541
65 years, male, NA, stage:2, alive, 930 days
0.4
DO45097
69 years, male, NA, stage:3, alive, 1620 days
0.4
DO45092
62 years, male, NA, stage:4, dead, 1200 days
0.4
DO48716
71 years, male, NA, stage:2, alive, 720 days
0.4
DO50825
70 years, male, NA, stage:2, alive, 390 days
0.4
DO48681
57 years, male, NA, stage:2, alive, 900 days
0.4
DO45267
73 years, male, NA, stage:3, dead, 570 days
0.4
DO48733
72 years, male, NA, stage:2, alive, 600 days
0.4
DO45213
58 years, male, NA, stage:1, alive, 1200 days
0.4
DO23537
79 years, male, NA, stage:2, dead, 900 days
0.4
DO45121
61 years, male, NA, stage:3, alive, 1530 days
0.4
DO50783
62 years, male, NA, stage:3, alive, 480 days
0.4
DO23539
77 years, male, NA, stage:1, alive, 1110 days
0.4
DO50829
78 years, male, NA, stage:3, alive, 570 days
0.4
DO45143
69 years, male, NA, stage:3, alive, 1290 days
0.4
DO45163
76 years, male, NA, stage:2, alive, 960 days
0.4
DO50813
56 years, male, NA, stage:2, alive, 420 days
0.4
DO45173
63 years, male, NA, stage:3, alive, 1170 days
0.4
DO23523
52 years, male, NA, stage:3, alive, 1080 days
0.4
DO23529
72 years, male, NA, stage:4, alive, 930 days
0.4
DO23518
67 years, male, NA, stage:2, alive, 1320 days
0.4
DO45229
74 years, male, NA, stage:1, alive, 990 days
0.4
DO48704
68 years, female, NA, stage:3, alive, 750 days
0.4
DO23527
72 years, male, NA, stage:1, alive, 1050 days
0.4
DO48693
71 years, male, NA, stage:2, alive, 900 days
0.4
DO45205
67 years, female, NA, stage:2, dead, 90 days
0.4
DO50804
81 years, male, NA, stage:2, alive, 720 days
0.4
DO23528
45 years, female, NA, stage:2, alive, 1020 days
0.4
DO45243
74 years, female, NA, stage:3, alive, 930 days
0.4
DO45199
86 years, female, NA, stage:2, alive, 1350 days
0.4
DO45167
67 years, male, NA, stage:2, dead, 1440 days
0.4
DO45223
67 years, male, NA, stage:4, alive, 1020 days
0.4
DO23509
60 years, male, NA, stage:3, dead, 780 days
0.3
DO23514
64 years, male, NA, stage:2, alive, 1290 days
0.3
DO50798
77 years, male, NA, stage:3, dead, 30 days
0.3
DO45255
81 years, male, NA, stage:3, alive, 720 days
0.3
DO45131
53 years, male, NA, stage:4, dead, 360 days
0.3
DO23546
63 years, male, NA, stage:2, alive, 1050 days
0.3
DO45207
68 years, male, NA, stage:1, alive, 1050 days
0.3
DO48727
81 years, female, NA, stage:2, dead, 390 days
0.3
DO50817
75 years, male, NA, stage:2, alive, 390 days
0.3
DO50839
47 years, female, NA, stage:3, alive, 330 days
0.3
DO48677
58 years, male, NA, stage:3, alive, 1140 days
0.3
DO48761
55 years, male, NA, stage:2, alive, 870 days
0.3
DO48719
80 years, male, NA, stage:2, alive, 690 days
0.3
DO23517
62 years, male, NA, stage:2, alive, 1200 days
0.3
DO23512
60 years, male, NA, stage:1, alive, 1260 days
0.3
DO48712
50 years, male, NA, stage:2, alive, 810 days
0.3
DO48741
64 years, male, NA, stage:3, alive, 240 days
0.3
DO23510
80 years, female, NA, stage:2, alive, 870 days
0.3
DO45179
78 years, female, NA, stage:2, alive, 600 days
0.3
DO50787
63 years, male, NA, stage:3, alive, 480 days
0.3
DO45094
76 years, male, NA, stage:3, alive, 1650 days
0.3
DO45227
57 years, female, NA, stage:2, alive, 1020 days
0.3
DO45237
58 years, male, NA, stage:2, alive, 900 days
0.3
DO45181
84 years, female, NA, stage:2, alive, 1200 days
0.3
DO23532
71 years, female, NA, stage:1, alive, 960 days
0.3
DO50818
65 years, male, NA, stage:2, alive, 510 days
0.3
DO23549
74 years, male, NA, stage:3, alive, 990 days
0.3
DO50820
77 years, female, NA, stage:3, alive, 510 days
0.3
DO45225
69 years, male, NA, stage:1, alive, 1050 days
0.3
DO23534
60 years, male, NA, stage:2, alive, 840 days
0.3
DO45095
66 years, male, NA, stage:2, alive, 1620 days
0.3
DO48700
78 years, female, NA, stage:2, alive, 810 days
0.3
DO50808
68 years, male, NA, stage:2, alive, 570 days
0.3
DO48743
69 years, female, NA, stage:2, alive, 570 days
0.3
DO50789
73 years, female, NA, stage:2, alive, 570 days
0.3
DO50800
74 years, male, NA, stage:2, alive, 510 days
0.3
DO45235
68 years, female, NA, stage:1, alive, 900 days
0.3
DO23538
67 years, male, NA, stage:2, alive, 450 days
0.2
DO23544
67 years, male, NA, stage:2, alive, 960 days
0.2
DO45113
58 years, male, NA, stage:3, alive, 1560 days
0.2
DO50840
49 years, male, NA, stage:2, alive, 330 days
0.2
DO45215
65 years, male, NA, stage:2, alive, 1170 days
0.2
DO45169
74 years, male, NA, stage:3, alive, 1350 days
0.2
DO48757
68 years, female, NA, stage:3, alive, 480 days
0.2
DO50857
72 years, male, NA, stage:2, alive, 210 days
0.2
DO45101
63 years, male, NA, stage:2, alive, 1680 days
0.2
DO45159
65 years, male, NA, stage:3, alive, 1470 days
0.2
DO50807
67 years, male, NA, stage:1, alive, 540 days
0.2
DO45171
56 years, male, NA, stage:3, alive, 600 days
0.2
DO48695
77 years, male, NA, stage:2, alive, 720 days
0.2
DO45157
62 years, male, NA, stage:2, alive, 1980 days
0.2
DO50832
73 years, male, NA, stage:3, alive, 90 days
0.2
DO45133
64 years, male, NA, stage:3, dead, 660 days
0.2
DO227801
77 years, female, NA, stage:1, alive, 660 days
0.2
DO45185
89 years, male, NA, stage:2, alive, 600 days
0.2
DO48760
70 years, female, NA, stage:2, alive, 690 days
0.2
DO23533
61 years, male, NA, stage:2, alive, 900 days
0.2
DO50844
75 years, male, NA, stage:4, alive, 300 days
0.2
DO50850
74 years, male, NA, stage:3, alive, 720 days
0.2
DO227643
79 years, male, NA, stage:2, alive, 1260 days
0.1
DO45099
46 years, male, NA, stage:3, alive, 1590 days
0.1
DO45111
74 years, male, NA, stage:2, alive, 1590 days
0.1
DO50803
62 years, female, NA, stage:1, alive, 540 days
0.1
DO45105
61 years, male, NA, stage:1, alive, 1680 days
0.0
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
557
Tumor
0.6
113
Tumor
0.5
367
Tumor
0.4
1027
Tumor
0.4
661
Tumor
0.3
186
Normal
0.3
467
Tumor
0.3
114
Normal
0.3
148
Normal
0.3
172
Normal
0.3
567
Tumor
0.3
432
Normal
0.3
743
Tumor
0.3
636
Normal
0.3
446
Normal
0.3
128
Normal
0.3
393
Tumor
0.3
214
Normal
0.3
331
Tumor
0.3
195
Tumor
0.3
451
Tumor
0.3
353
Tumor
0.3
162
Normal
0.3
327
Tumor
0.3
452
Normal
0.3
387
Tumor
0.3
126
Normal
0.2
413
Tumor
0.2
111
Normal
0.2
466
Normal
0.2
358
Normal
0.2
443
Tumor
0.2
354
Normal
0.2
267
Tumor
0.2
285
Tumor
0.2
135
Tumor
0.2
231
Tumor
0.2
724
Normal
0.2
222
Normal
0.2
344
Normal
0.2
468
Normal
0.2
426
Normal
0.2
851
Tumor
0.2
136
Normal
0.2
464
Normal
0.2
232
Normal
0.2
1021
Tumor
0.2
445
Tumor
0.2
573
Tumor
0.2
721
Tumor
0.2
171
Tumor
0.2
436
Normal
0.2
127
Tumor
0.2
112
Tumor
0.2
362
Normal
0.2
188
Normal
0.2
388
Normal
0.2
124
Normal
0.2
351
Tumor
0.2
132
Normal
0.2
218
Normal
0.2
342
Normal
0.2
434
Normal
0.2
223
Tumor
0.2
394
Normal
0.2
376
Normal
0.2
187
Tumor
0.2
414
Normal
0.2
671
Tumor
0.2
727
Tumor
0.2
221
Tumor
0.1
392
Normal
0.1
444
Normal
0.1
421
Tumor
0.1
213
Tumor
0.1
427
Tumor
0.1
258
Normal
0.1
278
Normal
0.1
262
Normal
0.1
385
Tumor
0.1
332
Normal
0.1
568
Normal
0.1
286
Normal
0.1
384
Normal
0.1
813
Tumor
0.1
352
Normal
0.1
196
Normal
0.1
272
Normal
0.1
435
Tumor
0.1
448
Normal
0.1
411
Tumor
0.1
147
Tumor
0.1
298
Normal
0.1
257
Tumor
0.1
742
Normal
0.1
463
Tumor
0.1
312
Normal
0.1
191
Tumor
0.1
815
Tumor
0.1
433
Tumor
0.1
138
Normal
0.1
462
Normal
0.1
746
Normal
0.1
423
Tumor
0.1
391
Tumor
0.1
914
Normal
0.1
314
Normal
0.1
465
Tumor
0.1
271
Tumor
0.1
145
Tumor
0.1
368
Normal
0.1
123
Tumor
0.1
361
Tumor
0.1
1025
Tumor
0.1
125
Tumor
0.1
412
Normal
0.1
422
Normal
0.1
745
Tumor
0.1
738
Normal
0.1
142
Normal
0.0
146
Normal
0.0
131
Tumor
0.0
356
Normal
0.0
161
Tumor
0.0
396
Normal
0.0
665
Tumor
0.0
777
Tumor
0.0
395
Tumor
0.0
217
Tumor
0.0
737
Tumor
0.0
672
Normal
0.0
366
Normal
0.0
571
Tumor
0.0
983
Tumor
0.0
713
Tumor
0.0
357
Tumor
0.0
431
Tumor
0.0
647
Tumor
0.0
685
Tumor
0.0
814
Normal
0.0
616
Normal
0.0
648
Normal
0.0
1026
Normal
0.0
618
Normal
0.0
628
Normal
0.0
227
Tumor
0.0
662
Normal
0.0
744
Normal
0.0
617
Tumor
0.0
686
Normal
0.0
564
Normal
0.0
137
Tumor
0.0
865
Tumor
0.0
786
Normal
0.0
723
Tumor
0.0
425
Tumor
0.0
268
Normal
0.0
663
Tumor
0.0
365
Tumor
0.0
456
Normal
0.0
1015
Tumor
0.0
642
Normal
0.0
824
Normal
0.0
185
Tumor
0.0
375
Tumor
0.0
696
Normal
0.0
864
Normal
0.0
955
Tumor
0.0
523
Tumor
0.0
386
Normal
0.0
341
Tumor
0.0
664
Normal
0.0
716
Normal
0.0
528
Normal
0.0
537
Tumor
0.0
343
Tumor
0.0
517
Tumor
0.0
778
Normal
0.0
866
Normal
0.0
728
Normal
0.0
858
Normal
0.0
261
Tumor
0.0
715
Tumor
0.0
228
Normal
-0.1
558
Normal
-0.1
284
Normal
-0.1
212
Normal
-0.1
722
Normal
-0.1
913
Tumor
-0.1
714
Normal
-0.1
666
Normal
-0.1
428
Normal
-0.1
756
Normal
-0.1
615
Tumor
-0.1
698
Normal
-0.1
277
Tumor
-0.1
424
Normal
-0.1
574
Normal
-0.1
881
Tumor
-0.1
455
Tumor
-0.1
1016
Normal
-0.1
141
Tumor
-0.1
981
Tumor
-0.1
817
Tumor
-0.1
447
Tumor
-0.1
572
Normal
-0.1
867
Tumor
-0.1
1028
Normal
-0.1
383
Tumor
-0.1
912
Normal
-0.1
818
Normal
-0.1
937
Tumor
-0.1
862
Normal
-0.1
1044
Normal
-0.1
363
Tumor
-0.1
461
Tumor
-0.1
868
Normal
-0.1
224
Normal
-0.1
535
Tumor
-0.1
877
Tumor
-0.1
873
Tumor
-0.1
515
Tumor
-0.1
313
Tumor
-0.1
635
Tumor
-0.1
297
Tumor
-0.1
967
Tumor
-0.1
1022
Normal
-0.1
982
Normal
-0.1
741
Tumor
-0.1
525
Tumor
-0.2
938
Normal
-0.2
952
Normal
-0.2
816
Normal
-0.2
481
Tumor
-0.2
878
Normal
-0.2
964
Normal
-0.2
852
Normal
-0.2
488
Normal
-0.2
1043
Tumor
-0.2
976
Normal
-0.2
874
Normal
-0.2
1046
Normal
-0.2
944
Normal
-0.2
416
Normal
-0.2
563
Tumor
-0.2
192
Normal
-0.2
953
Tumor
-0.2
883
Tumor
-0.2
984
Normal
-0.2
482
Normal
-0.2
695
Tumor
-0.2
966
Normal
-0.2
956
Normal
-0.2
882
Normal
-0.2
283
Tumor
-0.2
474
Normal
-0.2
915
Tumor
-0.2
911
Tumor
-0.2
755
Tumor
-0.2
977
Tumor
-0.2
641
Tumor
-0.2
526
Normal
-0.2
968
Normal
-0.2
1031
Tumor
-0.2
311
Tumor
-0.2
785
Tumor
-0.2
534
Normal
-0.2
1014
Normal
-0.2
1042
Normal
-0.2
328
Normal
-0.2
536
Normal
-0.2
978
Normal
-0.3
516
Normal
-0.3
925
Tumor
-0.3
923
Tumor
-0.3
926
Normal
-0.3
1032
Normal
-0.3
472
Normal
-0.3
965
Tumor
-0.3
857
Tumor
-0.3
943
Tumor
-0.3
951
Tumor
-0.3
627
Tumor
-0.3
471
Tumor
-0.3
498
Normal
-0.3
918
Normal
-0.3
518
Normal
-0.3
861
Tumor
-0.3
494
Normal
-0.3
497
Tumor
-0.3
863
Tumor
-0.3
1041
Tumor
-0.3
527
Tumor
-0.3
921
Tumor
-0.3
546
Normal
-0.3
697
Tumor
-0.3
1045
Tumor
-0.3
924
Normal
-0.3
975
Tumor
-0.3
514
Normal
-0.3
538
Normal
-0.3
823
Tumor
-0.3
524
Normal
-0.3
922
Normal
-0.3
884
Normal
-0.4
364
Normal
-0.4
954
Normal
-0.4
477
Tumor
-0.4
355
Tumor
-0.4
513
Tumor
-0.4
484
Normal
-0.4
493
Tumor
-0.4
492
Normal
-0.4
917
Tumor
-0.4
483
Tumor
-0.4
545
Tumor
-0.4
916
Normal
-0.4
958
Normal
-0.4
963
Tumor
-0.5
1013
Tumor
-0.5
554
Normal
-0.5
533
Tumor
-0.5
957
Tumor
-0.5
478
Normal
-0.5
553
Tumor
-0.5
415
Tumor
-0.5
211
Tumor
-0.5
491
Tumor
-0.6
487
Tumor
-0.6
473
Tumor
-0.6
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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
