We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
RPL35 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.
0.000084
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.
39%
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.
55%
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
1361.0
Number of samples
362
Samples
Sample
Description
TPM
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
6109.2
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
5582.8
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
4986.5
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
4051.6
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
3851.4
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
3781.5
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
3644.8
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
3599.0
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
3592.8
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
3539.1
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
3458.9
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
3244.0
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
3121.0
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
3062.1
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
2972.9
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
2946.1
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
2926.5
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
2843.0
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
2815.2
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
2802.6
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
2793.0
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
2731.7
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
2679.6
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
2677.0
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
2676.4
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
2664.3
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
2477.1
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
2434.9
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
2433.4
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
2397.0
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
2380.2
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
2361.5
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
2358.1
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
2308.5
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
2299.7
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
2298.5
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
2296.0
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
2242.3
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
2185.4
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
2183.0
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
2181.4
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
2181.1
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
2170.6
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
2135.9
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
2132.1
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
2107.3
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
2101.5
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
2076.8
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
2072.7
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
2039.2
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
2024.2
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
2015.6
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
1998.8
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
1990.7
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
1969.1
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
1965.4
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
1931.8
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
1928.4
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
1919.6
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
1910.1
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
1893.7
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
1890.7
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
1887.6
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
1885.6
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1885.3
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
1852.7
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
1840.4
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
1836.3
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
1835.0
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
1803.5
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
1797.2
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
1794.1
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
1792.6
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
1791.0
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
1790.7
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
1780.3
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
1777.0
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
1767.5
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
1765.6
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
1764.0
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
1761.6
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
1760.8
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
1751.8
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
1749.6
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
1743.9
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
1738.4
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
1721.7
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
1718.9
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
1691.1
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
1689.3
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1685.4
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
1681.5
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
1675.4
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
1674.7
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
1674.0
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
1671.2
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
1662.5
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
1661.2
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
1654.3
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
1644.6
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
1642.6
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
1638.8
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
1618.9
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
1611.3
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
1595.9
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
1588.9
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
1573.4
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
1571.3
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1568.0
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
1564.9
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
1564.0
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
1550.8
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
1549.5
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
1546.7
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
1538.7
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1536.5
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
1528.2
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
1526.6
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
1521.5
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
1510.2
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
1508.6
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
1504.3
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
1502.8
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
1500.1
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
1499.9
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
1489.3
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
1463.9
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
1456.0
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
1455.3
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
1449.0
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
1447.9
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
1447.5
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
1442.7
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
1439.9
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
1430.2
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
1427.7
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
1417.4
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
1416.1
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
1411.6
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
1388.4
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
1386.5
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
1376.0
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1375.9
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
1373.9
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
1373.7
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
1373.4
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
1354.4
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
1342.5
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
1339.5
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
1337.9
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
1337.2
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
1336.0
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
1319.4
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
1317.2
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
1317.0
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
1309.8
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
1308.2
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
1299.9
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
1297.0
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
1289.2
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
1279.5
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
1279.1
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
1278.9
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
1270.7
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
1265.4
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
1255.1
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1250.8
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
1245.9
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
1242.5
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1242.2
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
1231.2
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
1222.8
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
1218.6
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
1215.1
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
1210.6
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
1209.0
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
1202.0
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
1201.4
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
1198.5
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
1185.7
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
1180.8
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
1174.5
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
1164.3
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
1161.9
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
1151.6
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
1149.4
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
1145.0
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
1138.1
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
1125.8
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
1124.8
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
1121.4
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
1112.9
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
1106.4
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
1105.0
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
1103.4
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
1102.0
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
1096.0
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
1094.8
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
1093.9
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
1090.7
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
1086.4
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
1084.7
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
1084.0
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1081.3
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
1078.1
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1077.3
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
1072.7
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
1072.4
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
1064.7
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
1059.3
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
1058.7
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
1037.5
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
1037.1
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
1035.5
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
1028.2
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
1024.0
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
1021.5
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
1019.5
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
1016.8
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
1016.1
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
1010.9
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
1007.9
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1007.8
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1005.4
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
1004.6
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
1002.6
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
1000.5
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
1000.2
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
990.9
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
990.7
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
990.1
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
984.5
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
981.0
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
980.6
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
977.3
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
969.0
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
964.0
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
961.9
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
960.8
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
960.0
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
952.7
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
945.7
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
944.8
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
943.2
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
940.4
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
930.2
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
920.7
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
908.6
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
904.2
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
903.9
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
903.6
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
897.4
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
895.9
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
895.4
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
891.1
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
886.4
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
882.9
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
870.4
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
867.8
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
864.6
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
864.4
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
860.9
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
855.6
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
848.0
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
844.9
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
844.0
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
843.2
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
840.4
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
834.6
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
833.8
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
822.1
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
815.1
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
800.2
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
792.8
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
790.9
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
790.3
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
789.3
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
788.4
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
781.7
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
780.2
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
775.9
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
774.7
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
774.2
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
773.7
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
768.6
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
766.9
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
765.6
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
758.1
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
756.4
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
754.6
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
746.7
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
734.7
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
730.4
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
726.3
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
722.4
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
720.6
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
717.2
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
712.3
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
709.8
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
706.1
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
702.4
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
697.9
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
678.9
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
675.7
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
675.6
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
669.8
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
668.2
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
666.3
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
661.7
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
655.7
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
654.3
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
644.6
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
644.5
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
628.7
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
626.6
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
626.3
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
622.0
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
604.9
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
601.6
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
597.0
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
593.7
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
593.0
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
588.3
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
587.7
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
586.1
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
582.8
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
581.4
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
575.5
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
571.9
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
566.2
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
561.6
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
560.0
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
560.0
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
558.5
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
558.2
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
550.6
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
550.0
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
547.8
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
543.0
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
540.3
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
533.5
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
533.1
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
531.6
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
530.6
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
525.3
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
519.2
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
515.7
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
513.3
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
509.3
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
508.7
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
506.6
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
498.8
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
486.1
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
458.4
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
455.3
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
447.0
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
443.7
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
441.6
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
433.9
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
429.7
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
404.4
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 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.
RPL35 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.
0.000031
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.
73%
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
873.0
Number of samples
231
Samples
Sample
Description
TPM
DO50785
37 years, male, NA, stage:4, dead, 90 days
4791.5
DO23511
83 years, female, NA, stage:3, dead, 180 days
4011.8
DO50815
62 years, male, NA, stage:3, alive, 150 days
3929.8
DO45285
59 years, male, NA, stage:3, alive, 480 days
3293.5
DO50814
83 years, male, NA, stage:3, alive, 420 days
2739.2
DO48747
62 years, male, NA, stage:3, alive, 540 days
2457.6
DO45307
54 years, female, NA, stage:4, dead, 240 days
2031.2
DO23519
65 years, male, NA, stage:3, alive, 630 days
1919.5
DO45251
57 years, female, NA, stage:2, alive, 900 days
1892.9
DO45211
76 years, male, NA, stage:3, alive, 240 days
1891.6
DO45217
69 years, female, NA, stage:3, dead, 270 days
1869.5
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1844.9
DO48737
52 years, male, NA, stage:1, alive, 720 days
1826.7
DO48706
72 years, male, NA, stage:2, alive, 870 days
1767.6
DO23540
73 years, male, NA, stage:1, alive, 750 days
1762.5
DO45149
70 years, female, NA, stage:2, alive, 1260 days
1749.3
DO45093
71 years, male, NA, stage:2, dead, 720 days
1747.0
DO23515
71 years, male, NA, stage:2, alive, 1230 days
1733.4
DO23508
79 years, female, NA, stage:2, alive, 390 days
1726.8
DO50845
72 years, male, NA, stage:3, alive, 210 days
1663.0
DO45241
49 years, male, NA, stage:1, alive, 1080 days
1638.4
DO45145
78 years, male, NA, stage:3, dead, 60 days
1618.6
DO45301
56 years, male, NA, stage:2, dead, 1440 days
1572.3
DO23545
67 years, male, NA, stage:2, dead, 570 days
1555.2
DO50816
63 years, male, NA, stage:2, alive, 390 days
1526.3
DO45269
59 years, male, NA, stage:3, alive, 750 days
1470.0
DO45303
62 years, female, NA, stage:3, alive, 990 days
1461.6
DO50839
47 years, female, NA, stage:3, alive, 330 days
1458.9
DO23547
74 years, male, NA, stage:1, alive, 1020 days
1450.4
DO50791
79 years, female, NA, stage:1, dead, 480 days
1440.5
DO23528
45 years, female, NA, stage:2, alive, 1020 days
1432.8
DO23516
69 years, male, NA, stage:3, dead, 20 days
1405.7
DO45305
66 years, male, NA, stage:4, alive, 300 days
1401.7
DO45097
69 years, male, NA, stage:3, alive, 1620 days
1382.5
DO45265
73 years, male, NA, stage:3, alive, 1020 days
1363.4
DO45299
70 years, female, NA, stage:1, alive, 1440 days
1333.6
DO48741
64 years, male, NA, stage:3, alive, 240 days
1322.5
DO48682
72 years, female, NA, stage:3, dead, 120 days
1314.3
DO45259
65 years, male, NA, stage:3, alive, 330 days
1279.9
DO50799
66 years, female, NA, stage:2, alive, 540 days
1274.0
DO50859
77 years, male, NA, stage:2, alive, 180 days
1234.6
DO50806
70 years, male, NA, stage:4, alive, 540 days
1216.4
DO45209
70 years, male, NA, stage:4, alive, 1350 days
1193.4
DO45131
53 years, male, NA, stage:4, dead, 360 days
1184.9
DO45103
47 years, male, NA, stage:3, alive, 450 days
1180.5
DO48723
73 years, male, NA, stage:1, alive, 600 days
1180.3
DO45289
78 years, female, NA, stage:3, alive, 360 days
1179.3
DO23539
77 years, male, NA, stage:1, alive, 1110 days
1164.3
DO45095
66 years, male, NA, stage:2, alive, 1620 days
1162.4
DO50793
76 years, male, NA, stage:4, alive, 540 days
1159.8
DO45267
73 years, male, NA, stage:3, dead, 570 days
1149.6
DO50805
72 years, male, NA, stage:2, alive, 690 days
1147.1
DO23548
78 years, female, NA, stage:1, alive, 840 days
1131.7
DO45125
58 years, male, NA, stage:3, alive, 1680 days
1118.4
DO48715
58 years, female, NA, stage:2, dead, 690 days
1117.0
DO48681
57 years, male, NA, stage:2, alive, 900 days
1099.3
DO48730
73 years, female, NA, stage:2, alive, 630 days
1088.5
DO50811
62 years, male, NA, stage:1, alive, 450 days
1085.5
DO23546
63 years, male, NA, stage:2, alive, 1050 days
1085.2
DO50844
75 years, male, NA, stage:4, alive, 300 days
1059.7
DO45249
57 years, male, NA, stage:1, alive, 630 days
1059.6
DO48697
64 years, female, NA, stage:2, dead, 810 days
1050.8
DO23523
52 years, male, NA, stage:3, alive, 1080 days
1042.6
DO48751
68 years, male, NA, stage:2, dead, 480 days
1025.0
DO45221
75 years, female, NA, stage:4, dead, 390 days
1022.3
DO23530
53 years, male, NA, stage:4, dead, 180 days
1014.3
DO48759
73 years, male, NA, stage:3, alive, 720 days
1004.6
DO50855
47 years, male, NA, stage:2, alive, 570 days
1001.1
DO45287
74 years, male, NA, stage:1, alive, 390 days
996.1
DO45173
63 years, male, NA, stage:3, alive, 1170 days
985.7
DO45277
64 years, male, NA, stage:3, alive, 600 days
983.8
DO45193
68 years, female, NA, stage:4, dead, 120 days
982.3
DO45273
62 years, male, NA, stage:2, alive, 480 days
968.6
DO48717
54 years, male, NA, stage:4, dead, 180 days
941.9
DO45183
72 years, female, NA, stage:2, dead, 570 days
926.6
DO45109
63 years, male, NA, stage:2, alive, 1590 days
923.0
DO45239
42 years, male, NA, stage:2, alive, 870 days
908.3
DO50817
75 years, male, NA, stage:2, alive, 390 days
903.8
DO45199
86 years, female, NA, stage:2, alive, 1350 days
900.7
DO45127
73 years, male, NA, stage:3, dead, 420 days
898.1
DO48700
78 years, female, NA, stage:2, alive, 810 days
894.3
DO45297
61 years, female, NA, stage:4, dead, 1260 days
888.4
DO45275
65 years, male, NA, stage:3, dead, 10 days
882.8
DO50809
56 years, male, NA, stage:3, dead, 720 days
874.6
DO23533
61 years, male, NA, stage:2, alive, 900 days
869.9
DO45143
69 years, male, NA, stage:3, alive, 1290 days
869.8
DO50783
62 years, male, NA, stage:3, alive, 480 days
868.0
DO45187
32 years, female, NA, stage:1, alive, 1260 days
857.5
DO50813
56 years, male, NA, stage:2, alive, 420 days
852.6
DO50778
60 years, male, NA, stage:4, alive, 630 days
851.2
DO48721
58 years, female, NA, stage:1, alive, 900 days
850.7
DO23526
66 years, male, NA, stage:3, alive, 1050 days
848.6
DO48679
72 years, male, NA, stage:2, alive, 1200 days
839.8
DO50857
72 years, male, NA, stage:2, alive, 210 days
839.3
DO48736
76 years, female, NA, stage:1, alive, 600 days
836.1
DO23532
71 years, female, NA, stage:1, alive, 960 days
823.1
DO45191
61 years, female, NA, stage:2, alive, 1200 days
819.4
DO23542
66 years, male, NA, stage:3, alive, 960 days
812.9
DO45247
31 years, female, NA, stage:2, alive, 210 days
811.9
DO45135
77 years, male, NA, stage:1, alive, 1410 days
807.9
DO45205
67 years, female, NA, stage:2, dead, 90 days
806.5
DO45253
50 years, male, NA, stage:2, alive, 870 days
800.9
DO45257
46 years, male, NA, stage:3, alive, 810 days
797.5
DO45237
58 years, male, NA, stage:2, alive, 900 days
797.2
DO48725
66 years, male, NA, stage:1, alive, 780 days
792.9
DO48757
68 years, female, NA, stage:3, alive, 480 days
788.1
DO45261
74 years, male, NA, stage:3, alive, 990 days
786.8
DO23543
63 years, male, NA, stage:2, alive, 1020 days
786.4
DO48733
72 years, male, NA, stage:2, alive, 600 days
779.0
DO45165
75 years, male, NA, stage:2, alive, 690 days
776.6
DO45101
63 years, male, NA, stage:2, alive, 1680 days
766.9
DO45161
74 years, male, NA, stage:2, dead, 540 days
764.8
DO45213
58 years, male, NA, stage:1, alive, 1200 days
763.5
DO48704
68 years, female, NA, stage:3, alive, 750 days
752.8
DO23549
74 years, male, NA, stage:3, alive, 990 days
751.8
DO45201
49 years, male, NA, stage:1, alive, 900 days
733.1
DO45283
60 years, male, NA, stage:3, alive, 510 days
723.2
DO48672
81 years, male, NA, stage:2, alive, 450 days
721.5
DO48701
78 years, male, NA, stage:2, alive, 780 days
719.3
DO45141
73 years, male, NA, stage:2, alive, 1320 days
719.2
DO50802
49 years, male, NA, stage:2, alive, 930 days
699.7
DO48728
74 years, female, NA, stage:2, alive, 150 days
696.5
DO48716
71 years, male, NA, stage:2, alive, 720 days
696.3
DO45279
67 years, male, NA, stage:3, alive, 1290 days
683.6
DO50840
49 years, male, NA, stage:2, alive, 330 days
667.8
DO45281
83 years, male, NA, stage:4, alive, 750 days
666.1
DO45167
67 years, male, NA, stage:2, dead, 1440 days
664.9
DO48693
71 years, male, NA, stage:2, alive, 900 days
664.1
DO227801
77 years, female, NA, stage:1, alive, 660 days
662.3
DO45153
77 years, female, NA, stage:2, alive, 1380 days
653.4
DO48674
80 years, male, NA, stage:2, alive, 1260 days
652.0
DO23513
76 years, male, NA, stage:3, alive, 1200 days
650.9
DO45157
62 years, male, NA, stage:2, alive, 1980 days
646.9
DO23535
67 years, male, NA, stage:1, alive, 960 days
634.6
DO50822
66 years, male, NA, stage:2, alive, 510 days
617.4
DO23514
64 years, male, NA, stage:2, alive, 1290 days
606.6
DO45255
81 years, male, NA, stage:3, alive, 720 days
601.7
DO48720
62 years, female, NA, stage:2, alive, 570 days
599.9
DO50798
77 years, male, NA, stage:3, dead, 30 days
588.2
DO45243
74 years, female, NA, stage:3, alive, 930 days
580.6
DO23521
63 years, male, NA, stage:3, alive, 1110 days
575.8
DO45203
71 years, female, NA, stage:2, alive, 1170 days
568.9
DO48746
76 years, male, NA, stage:3, alive, 570 days
566.6
DO23541
65 years, male, NA, stage:2, alive, 930 days
564.2
DO23552
80 years, female, NA, stage:1, alive, 810 days
560.9
DO45163
76 years, male, NA, stage:2, alive, 960 days
560.3
DO48719
80 years, male, NA, stage:2, alive, 690 days
559.1
DO45105
61 years, male, NA, stage:1, alive, 1680 days
550.2
DO45231
84 years, male, NA, stage:2, alive, 930 days
549.8
DO50820
77 years, female, NA, stage:3, alive, 510 days
545.1
DO45177
81 years, female, NA, stage:3, alive, 1260 days
538.4
DO45175
74 years, male, NA, stage:2, alive, 1140 days
536.6
DO50800
74 years, male, NA, stage:2, alive, 510 days
534.2
DO50825
70 years, male, NA, stage:2, alive, 390 days
533.2
DO45092
62 years, male, NA, stage:4, dead, 1200 days
526.6
DO227643
79 years, male, NA, stage:2, alive, 1260 days
513.2
DO48677
58 years, male, NA, stage:3, alive, 1140 days
509.9
DO45227
57 years, female, NA, stage:2, alive, 1020 days
506.6
DO45121
61 years, male, NA, stage:3, alive, 1530 days
505.1
DO50804
81 years, male, NA, stage:2, alive, 720 days
500.6
DO23537
79 years, male, NA, stage:2, dead, 900 days
499.6
DO45219
78 years, male, NA, stage:2, alive, 1080 days
497.4
DO23544
67 years, male, NA, stage:2, alive, 960 days
489.8
DO45115
81 years, male, NA, stage:2, alive, 840 days
488.3
DO50850
74 years, male, NA, stage:3, alive, 720 days
488.0
DO45179
78 years, female, NA, stage:2, alive, 600 days
486.4
DO50829
78 years, male, NA, stage:3, alive, 570 days
485.4
DO45229
74 years, male, NA, stage:1, alive, 990 days
485.0
DO45225
69 years, male, NA, stage:1, alive, 1050 days
483.9
DO23536
56 years, male, NA, stage:2, alive, 930 days
474.9
DO23510
80 years, female, NA, stage:2, alive, 870 days
473.2
DO45181
84 years, female, NA, stage:2, alive, 1200 days
471.3
DO45171
56 years, male, NA, stage:3, alive, 600 days
470.7
DO45215
65 years, male, NA, stage:2, alive, 1170 days
464.5
DO23517
62 years, male, NA, stage:2, alive, 1200 days
462.1
DO45207
68 years, male, NA, stage:1, alive, 1050 days
461.1
DO45233
83 years, male, NA, stage:3, alive, 900 days
458.1
DO50819
72 years, female, NA, stage:2, alive, 510 days
457.1
DO23524
71 years, female, NA, stage:2, alive, 1050 days
457.1
DO23551
73 years, male, NA, stage:3, dead, 150 days
449.2
DO23534
60 years, male, NA, stage:2, alive, 840 days
446.6
DO48761
55 years, male, NA, stage:2, alive, 870 days
442.0
DO45099
46 years, male, NA, stage:3, alive, 1590 days
441.4
DO45139
63 years, male, NA, stage:3, alive, 1320 days
432.2
DO45123
78 years, female, NA, stage:2, dead, 570 days
431.5
DO50807
67 years, male, NA, stage:1, alive, 540 days
427.7
DO45195
62 years, male, NA, stage:1, alive, 390 days
425.1
DO50803
62 years, female, NA, stage:1, alive, 540 days
421.7
DO45155
69 years, male, NA, stage:2, alive, 2160 days
421.5
DO50789
73 years, female, NA, stage:2, alive, 570 days
416.7
DO48712
50 years, male, NA, stage:2, alive, 810 days
415.7
DO50818
65 years, male, NA, stage:2, alive, 510 days
414.4
DO45235
68 years, female, NA, stage:1, alive, 900 days
412.4
DO23550
69 years, male, NA, stage:1, alive, 990 days
408.7
DO45117
73 years, female, NA, stage:2, dead, 1110 days
408.0
DO48695
77 years, male, NA, stage:2, alive, 720 days
404.7
DO45096
69 years, male, NA, stage:2, dead, 1290 days
396.7
DO45107
63 years, female, NA, stage:2, alive, 1710 days
392.5
DO48727
81 years, female, NA, stage:2, dead, 390 days
389.9
DO50776
75 years, male, NA, stage:1, alive, 690 days
377.0
DO50774
68 years, female, NA, stage:2, alive, 720 days
375.7
DO23529
72 years, male, NA, stage:4, alive, 930 days
375.1
DO45159
65 years, male, NA, stage:3, alive, 1470 days
374.7
DO45185
89 years, male, NA, stage:2, alive, 600 days
370.8
DO50808
68 years, male, NA, stage:2, alive, 570 days
370.2
DO48743
69 years, female, NA, stage:2, alive, 570 days
369.6
DO50832
73 years, male, NA, stage:3, alive, 90 days
364.5
DO45091
56 years, male, NA, stage:2, dead, 1320 days
363.7
DO45245
75 years, female, NA, stage:2, dead, 240 days
357.8
DO23518
67 years, male, NA, stage:2, alive, 1320 days
353.8
DO48760
70 years, female, NA, stage:2, alive, 690 days
353.2
DO48742
76 years, male, NA, stage:2, alive, 600 days
347.7
DO45189
85 years, female, NA, stage:2, alive, 1200 days
340.6
DO23509
60 years, male, NA, stage:3, dead, 780 days
340.1
DO23531
78 years, female, NA, stage:3, alive, 900 days
338.2
DO48732
73 years, male, NA, stage:3, alive, 630 days
335.4
DO23538
67 years, male, NA, stage:2, alive, 450 days
329.0
DO50787
63 years, male, NA, stage:3, alive, 480 days
328.0
DO45263
67 years, male, NA, stage:3, dead, 270 days
323.5
DO45119
74 years, male, NA, stage:3, dead, 510 days
311.5
DO23512
60 years, male, NA, stage:1, alive, 1260 days
310.2
DO23527
72 years, male, NA, stage:1, alive, 1050 days
307.6
DO45223
67 years, male, NA, stage:4, alive, 1020 days
307.4
DO45129
61 years, male, NA, stage:3, alive, 1470 days
293.9
DO45113
58 years, male, NA, stage:3, alive, 1560 days
291.3
DO45094
76 years, male, NA, stage:3, alive, 1650 days
285.1
DO45169
74 years, male, NA, stage:3, alive, 1350 days
269.9
DO45133
64 years, male, NA, stage:3, dead, 660 days
262.7
DO45137
38 years, male, NA, stage:1, alive, 1320 days
254.1
DO45197
51 years, male, NA, stage:2, alive, 1170 days
233.6
DO45111
74 years, male, NA, stage:2, alive, 1590 days
118.9
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
557
Tumor
0.8
537
Tumor
0.6
965
Tumor
0.5
661
Tumor
0.5
957
Tumor
0.5
685
Tumor
0.5
113
Tumor
0.5
327
Tumor
0.4
367
Tumor
0.4
636
Normal
0.4
443
Tumor
0.4
285
Tumor
0.4
413
Tumor
0.4
353
Tumor
0.4
1021
Tumor
0.4
467
Tumor
0.4
545
Tumor
0.4
135
Tumor
0.4
223
Tumor
0.4
851
Tumor
0.4
983
Tumor
0.4
267
Tumor
0.3
815
Tumor
0.3
395
Tumor
0.3
743
Tumor
0.3
331
Tumor
0.3
567
Tumor
0.3
393
Tumor
0.3
937
Tumor
0.3
724
Normal
0.3
617
Tumor
0.3
873
Tumor
0.3
1044
Normal
0.3
958
Normal
0.3
955
Tumor
0.3
628
Normal
0.3
232
Normal
0.3
136
Normal
0.3
865
Tumor
0.3
387
Tumor
0.3
951
Tumor
0.2
451
Tumor
0.2
448
Normal
0.2
981
Tumor
0.2
966
Normal
0.2
878
Normal
0.2
385
Tumor
0.2
534
Normal
0.2
967
Tumor
0.2
414
Normal
0.2
568
Normal
0.2
662
Normal
0.2
964
Normal
0.2
376
Normal
0.2
824
Normal
0.2
332
Normal
0.2
866
Normal
0.2
864
Normal
0.2
421
Tumor
0.2
745
Tumor
0.2
123
Tumor
0.2
258
Normal
0.2
882
Normal
0.2
1014
Normal
0.2
358
Normal
0.2
172
Normal
0.2
535
Tumor
0.2
528
Normal
0.2
968
Normal
0.2
984
Normal
0.2
1046
Normal
0.2
422
Normal
0.2
257
Tumor
0.2
497
Tumor
0.2
426
Normal
0.2
427
Tumor
0.2
231
Tumor
0.2
314
Normal
0.2
978
Normal
0.2
432
Normal
0.2
214
Normal
0.2
218
Normal
0.2
131
Tumor
0.2
1027
Tumor
0.2
436
Normal
0.2
351
Tumor
0.2
112
Tumor
0.2
523
Tumor
0.2
618
Normal
0.2
944
Normal
0.2
912
Normal
0.2
1043
Tumor
0.2
446
Normal
0.2
356
Normal
0.2
352
Normal
0.2
462
Normal
0.2
466
Normal
0.2
191
Tumor
0.2
431
Tumor
0.2
756
Normal
0.2
715
Tumor
0.2
452
Normal
0.2
573
Tumor
0.2
1015
Tumor
0.2
558
Normal
0.2
777
Tumor
0.2
227
Tumor
0.2
852
Normal
0.2
664
Normal
0.1
554
Normal
0.1
721
Tumor
0.1
145
Tumor
0.1
362
Normal
0.1
616
Normal
0.1
148
Normal
0.1
517
Tumor
0.1
162
Normal
0.1
464
Normal
0.1
727
Tumor
0.1
111
Normal
0.1
344
Normal
0.1
722
Normal
0.1
755
Tumor
0.1
392
Normal
0.1
342
Normal
0.1
1016
Normal
0.1
714
Normal
0.1
468
Normal
0.1
195
Tumor
0.1
546
Normal
0.1
665
Tumor
0.1
433
Tumor
0.1
533
Tumor
0.1
778
Normal
0.1
126
Normal
0.1
434
Normal
0.1
312
Normal
0.1
738
Normal
0.1
671
Tumor
0.1
527
Tumor
0.1
862
Normal
0.1
696
Normal
0.1
161
Tumor
0.1
514
Normal
0.1
686
Normal
0.1
648
Normal
0.1
132
Normal
0.1
187
Tumor
0.1
128
Normal
0.1
672
Normal
0.1
447
Tumor
0.1
298
Normal
0.1
918
Normal
0.1
1025
Tumor
0.1
982
Normal
0.1
171
Tumor
0.1
884
Normal
0.1
926
Normal
0.1
196
Normal
0.1
272
Normal
0.1
114
Normal
0.1
424
Normal
0.1
138
Normal
0.1
228
Normal
0.1
271
Tumor
0.1
666
Normal
0.1
728
Normal
0.1
963
Tumor
0.1
737
Tumor
0.1
953
Tumor
0.1
786
Normal
0.1
262
Normal
0.1
411
Tumor
0.1
268
Normal
0.1
723
Tumor
0.1
922
Normal
0.1
1013
Tumor
0.1
212
Normal
0.1
952
Normal
0.1
213
Tumor
0.1
635
Tumor
0.1
341
Tumor
0.1
538
Normal
0.1
425
Tumor
0.1
572
Normal
0.1
284
Normal
0.1
146
Normal
0.1
746
Normal
0.1
465
Tumor
0.1
881
Tumor
0.1
641
Tumor
0.1
642
Normal
0.1
493
Tumor
0.1
916
Normal
0.1
742
Normal
0.1
816
Normal
0.1
818
Normal
0.1
647
Tumor
0.1
142
Normal
0.1
384
Normal
0.1
137
Tumor
0.1
147
Tumor
0.1
328
Normal
0.1
428
Normal
0.1
412
Normal
0.1
615
Tumor
0.1
221
Tumor
0.1
858
Normal
0.1
124
Normal
0.1
536
Normal
0.0
186
Normal
0.0
564
Normal
0.0
913
Tumor
0.0
222
Normal
0.0
435
Tumor
0.0
375
Tumor
0.0
488
Normal
0.0
817
Tumor
0.0
481
Tumor
0.0
697
Tumor
0.0
571
Tumor
0.0
716
Normal
0.0
456
Normal
0.0
423
Tumor
0.0
938
Normal
0.0
494
Normal
0.0
663
Tumor
0.0
286
Normal
0.0
444
Normal
0.0
518
Normal
0.0
278
Normal
0.0
484
Normal
0.0
217
Tumor
0.0
394
Normal
0.0
513
Tumor
0.0
515
Tumor
0.0
943
Tumor
0.0
474
Normal
0.0
814
Normal
0.0
923
Tumor
0.0
277
Tumor
0.0
698
Normal
0.0
141
Tumor
0.0
471
Tumor
0.0
127
Tumor
0.0
975
Tumor
0.0
976
Normal
0.0
366
Normal
0.0
917
Tumor
0.0
492
Normal
0.0
713
Tumor
0.0
416
Normal
0.0
364
Normal
0.0
867
Tumor
0.0
954
Normal
0.0
956
Normal
0.0
368
Normal
0.0
883
Tumor
0.0
415
Tumor
0.0
785
Tumor
0.0
695
Tumor
0.0
563
Tumor
0.0
355
Tumor
0.0
868
Normal
0.0
361
Tumor
0.0
354
Normal
0.0
188
Normal
0.0
455
Tumor
0.0
224
Normal
0.0
977
Tumor
0.0
463
Tumor
0.0
483
Tumor
-0.1
525
Tumor
-0.1
461
Tumor
-0.1
861
Tumor
-0.1
185
Tumor
-0.1
211
Tumor
-0.1
445
Tumor
-0.1
553
Tumor
-0.1
813
Tumor
-0.1
524
Normal
-0.1
1031
Tumor
-0.1
472
Normal
-0.1
574
Normal
-0.1
874
Normal
-0.1
1026
Normal
-0.1
365
Tumor
-0.1
1041
Tumor
-0.1
297
Tumor
-0.1
857
Tumor
-0.1
357
Tumor
-0.1
921
Tumor
-0.1
386
Normal
-0.1
482
Normal
-0.1
1032
Normal
-0.1
388
Normal
-0.1
261
Tumor
-0.1
487
Tumor
-0.1
1028
Normal
-0.1
363
Tumor
-0.1
924
Normal
-0.1
396
Normal
-0.1
383
Tumor
-0.1
343
Tumor
-0.1
744
Normal
-0.1
1022
Normal
-0.1
478
Normal
-0.1
526
Normal
-0.2
915
Tumor
-0.2
925
Tumor
-0.2
863
Tumor
-0.2
1045
Tumor
-0.2
313
Tumor
-0.2
473
Tumor
-0.2
516
Normal
-0.2
311
Tumor
-0.2
627
Tumor
-0.2
391
Tumor
-0.2
477
Tumor
-0.2
877
Tumor
-0.2
823
Tumor
-0.2
283
Tumor
-0.2
1042
Normal
-0.2
192
Normal
-0.2
125
Tumor
-0.2
498
Normal
-0.3
741
Tumor
-0.3
911
Tumor
-0.3
914
Normal
-0.3
491
Tumor
-0.5
Show allShow less
LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.