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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.
RPL19 is validated prognostic, high expression is unfavorable in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 1.63
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.000069
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.
29%
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.
54%
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
1589.3
Number of samples
362
Samples
Sample
Description
TPM
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
5240.4
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
4722.4
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
4364.0
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
4289.9
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
4262.2
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
4189.6
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
4109.9
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
3686.3
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
3532.1
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
3421.6
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
3284.7
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
3209.6
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
3065.4
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
3058.4
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
2983.4
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
2982.0
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
2951.3
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
2909.9
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
2894.0
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
2883.0
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
2864.6
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
2852.3
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
2848.8
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
2792.9
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
2785.5
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
2722.0
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
2714.3
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
2708.8
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
2690.7
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
2656.5
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
2654.1
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
2642.2
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
2603.2
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
2593.9
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
2586.2
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
2552.6
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
2509.3
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
2505.1
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
2505.1
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
2483.9
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
2483.7
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
2480.7
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
2469.7
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
2436.1
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
2423.4
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
2408.3
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
2401.6
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
2396.9
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
2395.5
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
2391.5
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
2383.8
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
2377.6
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
2344.6
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
2342.7
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
2322.6
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
2306.5
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
2293.2
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
2278.2
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
2277.9
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
2258.9
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
2248.2
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
2245.7
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
2199.5
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
2194.4
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
2162.3
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
2147.1
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
2147.1
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
2144.2
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
2107.6
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
2102.5
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
2096.1
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
2046.0
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
2045.5
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
2040.9
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
2035.9
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
2033.5
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
2019.9
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
2018.0
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
2017.0
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
2014.2
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
2005.2
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
1986.5
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
1952.5
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
1939.5
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
1937.1
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1898.7
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
1888.2
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
1888.1
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1880.7
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
1873.9
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
1864.3
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
1856.5
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
1837.0
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
1833.8
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
1823.7
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
1812.3
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1805.6
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
1801.3
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1799.1
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
1791.3
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
1788.8
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
1780.3
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
1779.0
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
1769.1
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
1755.0
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
1748.0
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
1734.9
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
1729.7
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
1719.8
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
1714.0
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
1691.2
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
1678.7
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
1672.2
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
1671.6
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
1668.6
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
1666.7
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
1651.0
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1645.7
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
1641.3
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
1636.6
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
1636.1
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
1630.5
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
1629.7
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
1628.4
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1627.2
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
1627.2
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
1625.3
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
1618.6
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
1618.3
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
1610.4
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
1609.4
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
1604.6
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
1589.5
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
1586.8
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
1578.5
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1578.2
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
1577.3
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
1562.1
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
1561.3
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
1548.4
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
1541.5
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
1536.3
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
1534.2
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
1533.1
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
1531.0
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1530.8
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
1525.3
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
1514.6
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
1511.1
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
1503.4
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
1500.3
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
1499.0
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1496.5
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
1493.0
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
1489.9
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
1488.1
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
1486.6
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
1482.6
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
1482.1
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
1472.7
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
1471.0
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
1469.8
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
1461.9
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
1459.5
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
1457.2
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
1455.2
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
1454.9
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
1444.6
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
1441.4
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1441.3
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
1440.6
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
1433.5
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
1430.9
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
1427.0
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
1426.7
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
1419.5
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
1418.9
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
1408.2
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
1406.3
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
1404.7
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
1403.5
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
1400.2
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
1392.6
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
1390.9
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1389.9
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
1379.2
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
1378.3
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
1377.0
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
1369.9
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
1369.5
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
1368.9
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
1367.8
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
1362.2
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
1360.7
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
1359.3
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
1354.6
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
1350.8
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
1342.7
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
1341.0
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
1340.4
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
1338.2
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
1328.5
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
1326.1
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
1325.1
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
1319.8
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
1316.5
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
1316.4
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
1312.7
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
1309.3
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
1296.5
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
1295.4
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
1293.8
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
1292.6
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
1292.4
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
1291.8
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
1287.8
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
1274.3
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
1272.3
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
1271.5
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
1270.4
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
1270.3
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
1270.2
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
1269.1
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
1266.2
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
1264.5
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1261.8
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
1251.9
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
1249.3
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
1246.6
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
1246.0
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
1228.7
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
1225.4
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
1224.8
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
1222.9
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
1216.9
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
1216.1
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
1213.0
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
1208.5
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
1208.4
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
1206.4
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
1204.6
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
1200.1
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
1197.6
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
1195.7
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
1195.5
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
1192.7
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
1189.0
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
1184.3
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1182.4
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
1180.5
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
1174.6
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
1173.9
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
1162.2
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
1161.1
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
1160.6
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
1152.7
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
1150.7
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
1147.4
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
1147.0
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
1145.2
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
1144.3
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
1143.5
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
1139.7
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
1139.1
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
1138.2
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
1132.8
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
1124.1
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
1120.9
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
1118.5
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
1114.8
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
1108.0
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
1107.7
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
1106.2
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
1102.6
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
1098.1
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
1097.1
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
1088.0
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
1087.5
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
1074.4
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
1072.0
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
1071.6
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
1071.4
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
1063.4
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
1056.0
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
1051.8
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
1043.9
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
1043.1
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
1039.9
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
1037.2
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
1036.3
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
1034.4
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
1026.7
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
1025.1
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
1024.3
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
1023.6
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
1022.7
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
1020.9
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
1017.5
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
1017.5
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
1016.1
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
1003.9
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
1003.2
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
1002.8
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
1002.8
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
1000.6
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
1000.6
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
995.4
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
995.3
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
994.4
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
991.7
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
985.1
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
976.2
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
976.1
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
974.9
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
974.0
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
973.3
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
971.3
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
965.6
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
959.3
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
937.8
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
934.2
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
921.0
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
920.9
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
918.1
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
905.7
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
896.6
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
892.0
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
886.1
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
871.3
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
862.0
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
860.8
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
857.4
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
854.1
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
848.5
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
846.4
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
839.3
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
838.9
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
838.9
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
837.0
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
834.5
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
834.0
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
829.6
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
829.2
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
828.4
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
827.9
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
805.2
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
804.7
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
802.2
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
801.1
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
752.0
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
748.5
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
725.5
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
706.1
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
703.2
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
688.8
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
672.4
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
652.5
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
652.2
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
628.1
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
619.1
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
594.7
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RPL19 is validated prognostic, high expression is unfavorable in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 2.14
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.00037
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
0%
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
72%
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
1324.7
Number of samples
231
Samples
Sample
Description
TPM
DO50814
83 years, male, NA, stage:3, alive, 420 days
4700.3
DO45285
59 years, male, NA, stage:3, alive, 480 days
3441.2
DO50785
37 years, male, NA, stage:4, dead, 90 days
3388.1
DO23519
65 years, male, NA, stage:3, alive, 630 days
3015.5
DO45289
78 years, female, NA, stage:3, alive, 360 days
2769.8
DO50806
70 years, male, NA, stage:4, alive, 540 days
2768.3
DO45307
54 years, female, NA, stage:4, dead, 240 days
2758.2
DO23545
67 years, male, NA, stage:2, dead, 570 days
2695.8
DO45303
62 years, female, NA, stage:3, alive, 990 days
2668.9
DO23533
61 years, male, NA, stage:2, alive, 900 days
2624.5
DO23508
79 years, female, NA, stage:2, alive, 390 days
2564.9
DO23515
71 years, male, NA, stage:2, alive, 1230 days
2561.3
DO48682
72 years, female, NA, stage:3, dead, 120 days
2555.3
DO48741
64 years, male, NA, stage:3, alive, 240 days
2482.4
DO45259
65 years, male, NA, stage:3, alive, 330 days
2343.7
DO48737
52 years, male, NA, stage:1, alive, 720 days
2321.4
DO48747
62 years, male, NA, stage:3, alive, 540 days
2276.7
DO48697
64 years, female, NA, stage:2, dead, 810 days
2157.6
DO48759
73 years, male, NA, stage:3, alive, 720 days
2150.6
DO23526
66 years, male, NA, stage:3, alive, 1050 days
2142.8
DO45251
57 years, female, NA, stage:2, alive, 900 days
2128.0
DO45299
70 years, female, NA, stage:1, alive, 1440 days
2111.8
DO45283
60 years, male, NA, stage:3, alive, 510 days
2111.6
DO45209
70 years, male, NA, stage:4, alive, 1350 days
2080.5
DO45211
76 years, male, NA, stage:3, alive, 240 days
2034.0
DO50778
60 years, male, NA, stage:4, alive, 630 days
2010.8
DO50825
70 years, male, NA, stage:2, alive, 390 days
1992.0
DO23516
69 years, male, NA, stage:3, dead, 20 days
1970.2
DO45193
68 years, female, NA, stage:4, dead, 120 days
1962.0
DO23530
53 years, male, NA, stage:4, dead, 180 days
1961.0
DO45273
62 years, male, NA, stage:2, alive, 480 days
1917.0
DO45305
66 years, male, NA, stage:4, alive, 300 days
1888.5
DO48751
68 years, male, NA, stage:2, dead, 480 days
1876.1
DO45301
56 years, male, NA, stage:2, dead, 1440 days
1841.7
DO48715
58 years, female, NA, stage:2, dead, 690 days
1823.6
DO45287
74 years, male, NA, stage:1, alive, 390 days
1813.4
DO45127
73 years, male, NA, stage:3, dead, 420 days
1791.2
DO45267
73 years, male, NA, stage:3, dead, 570 days
1789.9
DO23536
56 years, male, NA, stage:2, alive, 930 days
1783.8
DO45297
61 years, female, NA, stage:4, dead, 1260 days
1767.3
DO45281
83 years, male, NA, stage:4, alive, 750 days
1764.6
DO45189
85 years, female, NA, stage:2, alive, 1200 days
1755.2
DO50859
77 years, male, NA, stage:2, alive, 180 days
1751.4
DO48720
62 years, female, NA, stage:2, alive, 570 days
1739.1
DO45097
69 years, male, NA, stage:3, alive, 1620 days
1738.0
DO23543
63 years, male, NA, stage:2, alive, 1020 days
1724.6
DO48732
73 years, male, NA, stage:3, alive, 630 days
1718.9
DO45095
66 years, male, NA, stage:2, alive, 1620 days
1716.9
DO50809
56 years, male, NA, stage:3, dead, 720 days
1713.8
DO48723
73 years, male, NA, stage:1, alive, 600 days
1705.6
DO45161
74 years, male, NA, stage:2, dead, 540 days
1695.7
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1680.4
DO45145
78 years, male, NA, stage:3, dead, 60 days
1676.9
DO23528
45 years, female, NA, stage:2, alive, 1020 days
1671.2
DO23523
52 years, male, NA, stage:3, alive, 1080 days
1656.4
DO45139
63 years, male, NA, stage:3, alive, 1320 days
1640.7
DO50855
47 years, male, NA, stage:2, alive, 570 days
1638.3
DO50839
47 years, female, NA, stage:3, alive, 330 days
1637.5
DO50802
49 years, male, NA, stage:2, alive, 930 days
1631.2
DO50805
72 years, male, NA, stage:2, alive, 690 days
1619.2
DO48706
72 years, male, NA, stage:2, alive, 870 days
1604.8
DO48730
73 years, female, NA, stage:2, alive, 630 days
1573.7
DO45163
76 years, male, NA, stage:2, alive, 960 days
1566.3
DO45249
57 years, male, NA, stage:1, alive, 630 days
1560.4
DO23511
83 years, female, NA, stage:3, dead, 180 days
1559.3
DO23521
63 years, male, NA, stage:3, alive, 1110 days
1554.0
DO45221
75 years, female, NA, stage:4, dead, 390 days
1529.1
DO23539
77 years, male, NA, stage:1, alive, 1110 days
1506.9
DO45173
63 years, male, NA, stage:3, alive, 1170 days
1505.6
DO50811
62 years, male, NA, stage:1, alive, 450 days
1492.5
DO48672
81 years, male, NA, stage:2, alive, 450 days
1476.9
DO50829
78 years, male, NA, stage:3, alive, 570 days
1476.2
DO48736
76 years, female, NA, stage:1, alive, 600 days
1475.0
DO45175
74 years, male, NA, stage:2, alive, 1140 days
1472.0
DO45199
86 years, female, NA, stage:2, alive, 1350 days
1453.1
DO23537
79 years, male, NA, stage:2, dead, 900 days
1446.3
DO50793
76 years, male, NA, stage:4, alive, 540 days
1445.0
DO48679
72 years, male, NA, stage:2, alive, 1200 days
1428.7
DO45119
74 years, male, NA, stage:3, dead, 510 days
1419.4
DO50783
62 years, male, NA, stage:3, alive, 480 days
1407.0
DO23547
74 years, male, NA, stage:1, alive, 1020 days
1405.4
DO48712
50 years, male, NA, stage:2, alive, 810 days
1403.6
DO45219
78 years, male, NA, stage:2, alive, 1080 days
1400.9
DO45261
74 years, male, NA, stage:3, alive, 990 days
1395.3
DO50822
66 years, male, NA, stage:2, alive, 510 days
1367.4
DO48757
68 years, female, NA, stage:3, alive, 480 days
1367.3
DO45213
58 years, male, NA, stage:1, alive, 1200 days
1366.2
DO45239
42 years, male, NA, stage:2, alive, 870 days
1352.3
DO23542
66 years, male, NA, stage:3, alive, 960 days
1352.1
DO23549
74 years, male, NA, stage:3, alive, 990 days
1339.6
DO45109
63 years, male, NA, stage:2, alive, 1590 days
1336.7
DO45117
73 years, female, NA, stage:2, dead, 1110 days
1333.9
DO50815
62 years, male, NA, stage:3, alive, 150 days
1332.3
DO48700
78 years, female, NA, stage:2, alive, 810 days
1322.6
DO50857
72 years, male, NA, stage:2, alive, 210 days
1311.0
DO45183
72 years, female, NA, stage:2, dead, 570 days
1310.3
DO48704
68 years, female, NA, stage:3, alive, 750 days
1308.3
DO45135
77 years, male, NA, stage:1, alive, 1410 days
1307.2
DO45165
75 years, male, NA, stage:2, alive, 690 days
1303.0
DO45092
62 years, male, NA, stage:4, dead, 1200 days
1301.7
DO45275
65 years, male, NA, stage:3, dead, 10 days
1299.1
DO50798
77 years, male, NA, stage:3, dead, 30 days
1293.2
DO45217
69 years, female, NA, stage:3, dead, 270 days
1280.0
DO50813
56 years, male, NA, stage:2, alive, 420 days
1272.1
DO45187
32 years, female, NA, stage:1, alive, 1260 days
1269.6
DO48746
76 years, male, NA, stage:3, alive, 570 days
1269.4
DO45141
73 years, male, NA, stage:2, alive, 1320 days
1259.5
DO48695
77 years, male, NA, stage:2, alive, 720 days
1252.8
DO48721
58 years, female, NA, stage:1, alive, 900 days
1234.8
DO50844
75 years, male, NA, stage:4, alive, 300 days
1233.9
DO45185
89 years, male, NA, stage:2, alive, 600 days
1222.3
DO45201
49 years, male, NA, stage:1, alive, 900 days
1220.3
DO45131
53 years, male, NA, stage:4, dead, 360 days
1213.7
DO45253
50 years, male, NA, stage:2, alive, 870 days
1213.0
DO45205
67 years, female, NA, stage:2, dead, 90 days
1211.2
DO45277
64 years, male, NA, stage:3, alive, 600 days
1207.5
DO50776
75 years, male, NA, stage:1, alive, 690 days
1199.7
DO45229
74 years, male, NA, stage:1, alive, 990 days
1198.5
DO45103
47 years, male, NA, stage:3, alive, 450 days
1184.9
DO45257
46 years, male, NA, stage:3, alive, 810 days
1177.4
DO45231
84 years, male, NA, stage:2, alive, 930 days
1176.6
DO45255
81 years, male, NA, stage:3, alive, 720 days
1176.1
DO227801
77 years, female, NA, stage:1, alive, 660 days
1160.7
DO48733
72 years, male, NA, stage:2, alive, 600 days
1158.6
DO45279
67 years, male, NA, stage:3, alive, 1290 days
1156.2
DO45179
78 years, female, NA, stage:2, alive, 600 days
1155.3
DO45247
31 years, female, NA, stage:2, alive, 210 days
1152.3
DO23540
73 years, male, NA, stage:1, alive, 750 days
1146.7
DO45227
57 years, female, NA, stage:2, alive, 1020 days
1136.7
DO48693
71 years, male, NA, stage:2, alive, 900 days
1131.4
DO48681
57 years, male, NA, stage:2, alive, 900 days
1124.0
DO50791
79 years, female, NA, stage:1, dead, 480 days
1120.8
DO48728
74 years, female, NA, stage:2, alive, 150 days
1120.5
DO45093
71 years, male, NA, stage:2, dead, 720 days
1118.5
DO50800
74 years, male, NA, stage:2, alive, 510 days
1116.7
DO23548
78 years, female, NA, stage:1, alive, 840 days
1105.5
DO50819
72 years, female, NA, stage:2, alive, 510 days
1099.0
DO45153
77 years, female, NA, stage:2, alive, 1380 days
1084.0
DO45269
59 years, male, NA, stage:3, alive, 750 days
1083.5
DO45123
78 years, female, NA, stage:2, dead, 570 days
1080.3
DO45121
61 years, male, NA, stage:3, alive, 1530 days
1079.6
DO50804
81 years, male, NA, stage:2, alive, 720 days
1076.1
DO50850
74 years, male, NA, stage:3, alive, 720 days
1073.5
DO23541
65 years, male, NA, stage:2, alive, 930 days
1072.8
DO45157
62 years, male, NA, stage:2, alive, 1980 days
1072.5
DO45133
64 years, male, NA, stage:3, dead, 660 days
1068.6
DO45191
61 years, female, NA, stage:2, alive, 1200 days
1063.6
DO48719
80 years, male, NA, stage:2, alive, 690 days
1063.2
DO45245
75 years, female, NA, stage:2, dead, 240 days
1057.9
DO45143
69 years, male, NA, stage:3, alive, 1290 days
1054.0
DO45125
58 years, male, NA, stage:3, alive, 1680 days
1035.2
DO23546
63 years, male, NA, stage:2, alive, 1050 days
1029.6
DO50820
77 years, female, NA, stage:3, alive, 510 days
1028.5
DO45243
74 years, female, NA, stage:3, alive, 930 days
1024.3
DO45171
56 years, male, NA, stage:3, alive, 600 days
1022.7
DO45149
70 years, female, NA, stage:2, alive, 1260 days
1011.1
DO45265
73 years, male, NA, stage:3, alive, 1020 days
1008.4
DO45241
49 years, male, NA, stage:1, alive, 1080 days
1002.0
DO48717
54 years, male, NA, stage:4, dead, 180 days
1000.4
DO50799
66 years, female, NA, stage:2, alive, 540 days
993.0
DO45223
67 years, male, NA, stage:4, alive, 1020 days
978.3
DO50816
63 years, male, NA, stage:2, alive, 390 days
977.1
DO48677
58 years, male, NA, stage:3, alive, 1140 days
965.5
DO50818
65 years, male, NA, stage:2, alive, 510 days
963.6
DO50817
75 years, male, NA, stage:2, alive, 390 days
956.2
DO48761
55 years, male, NA, stage:2, alive, 870 days
948.5
DO45203
71 years, female, NA, stage:2, alive, 1170 days
947.9
DO227643
79 years, male, NA, stage:2, alive, 1260 days
943.9
DO23510
80 years, female, NA, stage:2, alive, 870 days
937.2
DO45233
83 years, male, NA, stage:3, alive, 900 days
936.1
DO45237
58 years, male, NA, stage:2, alive, 900 days
928.4
DO50832
73 years, male, NA, stage:3, alive, 90 days
926.4
DO48725
66 years, male, NA, stage:1, alive, 780 days
925.0
DO45113
58 years, male, NA, stage:3, alive, 1560 days
920.5
DO48674
80 years, male, NA, stage:2, alive, 1260 days
918.5
DO50803
62 years, female, NA, stage:1, alive, 540 days
910.9
DO45235
68 years, female, NA, stage:1, alive, 900 days
910.0
DO23514
64 years, male, NA, stage:2, alive, 1290 days
901.8
DO45177
81 years, female, NA, stage:3, alive, 1260 days
897.9
DO23529
72 years, male, NA, stage:4, alive, 930 days
874.2
DO23535
67 years, male, NA, stage:1, alive, 960 days
863.8
DO45105
61 years, male, NA, stage:1, alive, 1680 days
850.5
DO48701
78 years, male, NA, stage:2, alive, 780 days
841.2
DO45181
84 years, female, NA, stage:2, alive, 1200 days
838.4
DO50787
63 years, male, NA, stage:3, alive, 480 days
834.5
DO23544
67 years, male, NA, stage:2, alive, 960 days
832.4
DO48716
71 years, male, NA, stage:2, alive, 720 days
822.8
DO45101
63 years, male, NA, stage:2, alive, 1680 days
808.8
DO23512
60 years, male, NA, stage:1, alive, 1260 days
806.2
DO45169
74 years, male, NA, stage:3, alive, 1350 days
803.2
DO45225
69 years, male, NA, stage:1, alive, 1050 days
791.9
DO45115
81 years, male, NA, stage:2, alive, 840 days
788.8
DO45099
46 years, male, NA, stage:3, alive, 1590 days
782.9
DO23513
76 years, male, NA, stage:3, alive, 1200 days
781.7
DO50845
72 years, male, NA, stage:3, alive, 210 days
780.5
DO23509
60 years, male, NA, stage:3, dead, 780 days
775.8
DO45091
56 years, male, NA, stage:2, dead, 1320 days
772.6
DO45155
69 years, male, NA, stage:2, alive, 2160 days
769.5
DO50774
68 years, female, NA, stage:2, alive, 720 days
766.4
DO23524
71 years, female, NA, stage:2, alive, 1050 days
756.2
DO48760
70 years, female, NA, stage:2, alive, 690 days
745.1
DO48743
69 years, female, NA, stage:2, alive, 570 days
742.3
DO23550
69 years, male, NA, stage:1, alive, 990 days
721.3
DO23538
67 years, male, NA, stage:2, alive, 450 days
716.6
DO23534
60 years, male, NA, stage:2, alive, 840 days
711.1
DO45096
69 years, male, NA, stage:2, dead, 1290 days
710.1
DO23551
73 years, male, NA, stage:3, dead, 150 days
690.5
DO50808
68 years, male, NA, stage:2, alive, 570 days
689.6
DO48742
76 years, male, NA, stage:2, alive, 600 days
688.3
DO23531
78 years, female, NA, stage:3, alive, 900 days
684.5
DO45159
65 years, male, NA, stage:3, alive, 1470 days
682.9
DO50789
73 years, female, NA, stage:2, alive, 570 days
676.8
DO23517
62 years, male, NA, stage:2, alive, 1200 days
673.6
DO23552
80 years, female, NA, stage:1, alive, 810 days
669.6
DO23532
71 years, female, NA, stage:1, alive, 960 days
658.0
DO45207
68 years, male, NA, stage:1, alive, 1050 days
656.8
DO45263
67 years, male, NA, stage:3, dead, 270 days
655.1
DO23518
67 years, male, NA, stage:2, alive, 1320 days
649.6
DO45137
38 years, male, NA, stage:1, alive, 1320 days
647.1
DO45094
76 years, male, NA, stage:3, alive, 1650 days
599.4
DO23527
72 years, male, NA, stage:1, alive, 1050 days
596.1
DO45197
51 years, male, NA, stage:2, alive, 1170 days
591.5
DO48727
81 years, female, NA, stage:2, dead, 390 days
577.5
DO45129
61 years, male, NA, stage:3, alive, 1470 days
558.1
DO45195
62 years, male, NA, stage:1, alive, 390 days
552.7
DO45215
65 years, male, NA, stage:2, alive, 1170 days
543.6
DO45107
63 years, female, NA, stage:2, alive, 1710 days
492.0
DO45167
67 years, male, NA, stage:2, dead, 1440 days
480.0
DO50840
49 years, male, NA, stage:2, alive, 330 days
473.4
DO45111
74 years, male, NA, stage:2, alive, 1590 days
412.0
DO50807
67 years, male, NA, stage:1, alive, 540 days
401.0
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
1021
Tumor
0.8
557
Tumor
0.7
537
Tumor
0.6
327
Tumor
0.6
1025
Tumor
0.5
685
Tumor
0.5
113
Tumor
0.5
497
Tumor
0.5
523
Tumor
0.5
1031
Tumor
0.4
964
Normal
0.4
524
Normal
0.4
527
Tumor
0.4
724
Normal
0.4
851
Tumor
0.4
353
Tumor
0.4
1027
Tumor
0.4
1032
Normal
0.4
545
Tumor
0.4
367
Tumor
0.4
448
Normal
0.4
546
Normal
0.4
131
Tumor
0.4
285
Tumor
0.4
481
Tumor
0.4
488
Normal
0.4
983
Tumor
0.4
261
Tumor
0.4
267
Tumor
0.4
223
Tumor
0.4
636
Normal
0.4
756
Normal
0.4
965
Tumor
0.4
1042
Normal
0.4
535
Tumor
0.3
525
Tumor
0.3
558
Normal
0.3
331
Tumor
0.3
926
Normal
0.3
515
Tumor
0.3
824
Normal
0.3
514
Normal
0.3
858
Normal
0.3
978
Normal
0.3
536
Normal
0.3
395
Tumor
0.3
494
Normal
0.3
727
Tumor
0.3
517
Tumor
0.3
912
Normal
0.3
981
Tumor
0.3
1014
Normal
0.3
852
Normal
0.3
393
Tumor
0.3
944
Normal
0.3
661
Tumor
0.3
696
Normal
0.3
554
Normal
0.3
516
Normal
0.3
142
Normal
0.3
1026
Normal
0.3
937
Tumor
0.3
212
Normal
0.3
518
Normal
0.3
443
Tumor
0.3
955
Tumor
0.3
923
Tumor
0.3
358
Normal
0.3
484
Normal
0.3
984
Normal
0.3
777
Tumor
0.3
864
Normal
0.3
918
Normal
0.3
232
Normal
0.3
982
Normal
0.3
865
Tumor
0.3
526
Normal
0.3
818
Normal
0.3
172
Normal
0.3
922
Normal
0.3
553
Tumor
0.3
873
Tumor
0.3
1028
Normal
0.3
186
Normal
0.3
355
Tumor
0.3
572
Normal
0.3
136
Normal
0.3
493
Tumor
0.3
472
Normal
0.3
447
Tumor
0.3
513
Tumor
0.3
1046
Normal
0.2
568
Normal
0.2
478
Normal
0.2
778
Normal
0.2
1022
Normal
0.2
356
Normal
0.2
534
Normal
0.2
387
Tumor
0.2
817
Tumor
0.2
715
Tumor
0.2
228
Normal
0.2
284
Normal
0.2
162
Normal
0.2
473
Tumor
0.2
538
Normal
0.2
815
Tumor
0.2
916
Normal
0.2
966
Normal
0.2
866
Normal
0.2
1044
Normal
0.2
958
Normal
0.2
482
Normal
0.2
938
Normal
0.2
498
Normal
0.2
314
Normal
0.2
135
Tumor
0.2
148
Normal
0.2
412
Normal
0.2
957
Tumor
0.2
745
Tumor
0.2
123
Tumor
0.2
446
Normal
0.2
882
Normal
0.2
128
Normal
0.2
492
Normal
0.2
533
Tumor
0.2
332
Normal
0.2
528
Normal
0.2
616
Normal
0.2
218
Normal
0.2
567
Tumor
0.2
925
Tumor
0.2
196
Normal
0.2
697
Tumor
0.2
665
Tumor
0.2
785
Tumor
0.2
968
Normal
0.2
628
Normal
0.2
951
Tumor
0.2
722
Normal
0.2
432
Normal
0.2
352
Normal
0.2
114
Normal
0.2
467
Tumor
0.2
392
Normal
0.2
385
Tumor
0.2
351
Tumor
0.2
672
Normal
0.2
953
Tumor
0.2
728
Normal
0.2
364
Normal
0.2
716
Normal
0.2
431
Tumor
0.2
913
Tumor
0.2
743
Tumor
0.2
145
Tumor
0.2
462
Normal
0.2
857
Tumor
0.2
755
Tumor
0.2
573
Tumor
0.2
956
Normal
0.2
1043
Tumor
0.2
474
Normal
0.2
187
Tumor
0.2
1016
Normal
0.2
976
Normal
0.2
686
Normal
0.2
224
Normal
0.1
171
Tumor
0.1
483
Tumor
0.1
963
Tumor
0.1
257
Tumor
0.1
413
Tumor
0.1
952
Normal
0.1
286
Normal
0.1
354
Normal
0.1
185
Tumor
0.1
376
Normal
0.1
451
Tumor
0.1
415
Tumor
0.1
414
Normal
0.1
231
Tumor
0.1
738
Normal
0.1
344
Normal
0.1
662
Normal
0.1
723
Tumor
0.1
342
Normal
0.1
878
Normal
0.1
487
Tumor
0.1
452
Normal
0.1
147
Tumor
0.1
698
Normal
0.1
471
Tumor
0.1
664
Normal
0.1
954
Normal
0.1
713
Tumor
0.1
427
Tumor
0.1
1041
Tumor
0.1
714
Normal
0.1
862
Normal
0.1
363
Tumor
0.1
434
Normal
0.1
426
Normal
0.1
222
Normal
0.1
188
Normal
0.1
455
Tumor
0.1
411
Tumor
0.1
211
Tumor
0.1
312
Normal
0.1
328
Normal
0.1
571
Tumor
0.1
648
Normal
0.1
464
Normal
0.1
436
Normal
0.1
884
Normal
0.1
221
Tumor
0.1
258
Normal
0.1
124
Normal
0.1
127
Tumor
0.1
883
Tumor
0.1
967
Tumor
0.1
388
Normal
0.1
721
Tumor
0.1
466
Normal
0.1
823
Tumor
0.1
428
Normal
0.1
695
Tumor
0.1
416
Normal
0.1
195
Tumor
0.1
394
Normal
0.1
191
Tumor
0.1
617
Tumor
0.1
111
Normal
0.1
861
Tumor
0.1
112
Tumor
0.1
615
Tumor
0.1
126
Normal
0.1
1015
Tumor
0.1
746
Normal
0.1
867
Tumor
0.1
924
Normal
0.1
214
Normal
0.1
357
Tumor
0.1
881
Tumor
0.1
786
Normal
0.1
742
Normal
0.1
618
Normal
0.1
563
Tumor
0.0
138
Normal
0.0
375
Tumor
0.0
217
Tumor
0.0
564
Normal
0.0
132
Normal
0.0
227
Tumor
0.0
298
Normal
0.0
278
Normal
0.0
424
Normal
0.0
161
Tumor
0.0
917
Tumor
0.0
137
Tumor
0.0
737
Tumor
0.0
975
Tumor
0.0
468
Normal
0.0
422
Normal
0.0
642
Normal
0.0
362
Normal
0.0
574
Normal
0.0
444
Normal
0.0
272
Normal
0.0
141
Tumor
0.0
921
Tumor
0.0
1013
Tumor
0.0
396
Normal
0.0
666
Normal
0.0
386
Normal
0.0
271
Tumor
0.0
647
Tumor
0.0
277
Tumor
0.0
423
Tumor
0.0
874
Normal
0.0
671
Tumor
0.0
343
Tumor
0.0
311
Tumor
0.0
816
Normal
0.0
297
Tumor
0.0
435
Tumor
0.0
366
Normal
0.0
477
Tumor
0.0
341
Tumor
0.0
915
Tumor
0.0
433
Tumor
0.0
863
Tumor
0.0
456
Normal
0.0
192
Normal
0.0
262
Normal
0.0
421
Tumor
0.0
1045
Tumor
0.0
977
Tumor
0.0
384
Normal
0.0
445
Tumor
-0.1
425
Tumor
-0.1
213
Tumor
-0.1
268
Normal
-0.1
283
Tumor
-0.1
943
Tumor
-0.1
465
Tumor
-0.1
391
Tumor
-0.1
635
Tumor
-0.1
368
Normal
-0.1
663
Tumor
-0.1
463
Tumor
-0.1
877
Tumor
-0.1
146
Normal
-0.1
814
Normal
-0.1
461
Tumor
-0.1
641
Tumor
-0.1
744
Normal
-0.1
365
Tumor
-0.1
361
Tumor
-0.2
491
Tumor
-0.2
627
Tumor
-0.2
868
Normal
-0.2
914
Normal
-0.2
383
Tumor
-0.2
313
Tumor
-0.2
813
Tumor
-0.2
911
Tumor
-0.3
125
Tumor
-0.3
741
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.