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.
RPL36 is not prognostic in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
1037.8
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
5935.0
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
4902.9
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
4671.8
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
4520.7
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
4211.8
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
3939.4
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
3875.9
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
3598.8
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
3412.5
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
3061.3
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
2940.6
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
2898.7
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
2845.6
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
2602.6
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
2585.6
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
2555.8
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
2403.6
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
2338.9
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
2312.1
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
2276.6
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
2250.4
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
2223.7
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
2217.3
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
2168.5
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
2157.9
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
2154.9
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
2123.5
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
2033.9
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
2007.0
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
1967.6
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
1939.9
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
1911.2
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
1900.1
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
1896.0
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
1874.2
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
1849.7
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
1824.3
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1818.1
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
1752.5
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
1745.9
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
1709.5
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
1643.6
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
1603.2
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
1601.5
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
1600.1
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
1581.8
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
1562.9
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
1561.5
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
1558.0
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
1554.7
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
1541.4
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
1532.3
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
1531.9
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
1519.7
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
1499.9
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
1497.1
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
1490.4
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
1466.8
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
1458.2
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
1455.3
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
1431.9
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
1412.1
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
1390.1
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
1384.4
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
1374.4
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
1364.7
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
1349.5
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
1348.7
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
1347.8
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
1347.1
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
1343.3
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
1332.8
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
1323.7
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
1322.6
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
1299.3
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
1283.6
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
1272.0
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
1271.6
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
1268.2
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
1262.7
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1260.7
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
1249.8
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
1246.7
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
1241.5
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
1238.7
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
1234.3
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
1226.8
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
1223.6
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
1212.8
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
1199.6
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
1194.8
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
1194.3
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
1183.8
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
1177.0
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
1173.9
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1172.3
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
1162.2
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
1156.8
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
1154.8
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
1146.5
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
1146.0
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
1141.8
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
1139.6
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
1131.7
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
1102.9
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
1096.2
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
1094.7
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
1092.2
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
1087.5
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
1085.5
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
1082.0
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
1075.5
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
1070.9
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
1068.4
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
1065.5
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
1062.6
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
1041.5
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
1040.3
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
1039.1
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
1024.0
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
1014.6
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
1010.4
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
995.4
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
993.5
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
987.4
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
987.1
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
974.4
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
971.1
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
970.4
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
969.7
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
967.2
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
964.5
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
962.6
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
962.2
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
959.3
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
958.2
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
957.4
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
954.9
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
954.0
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
949.6
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
947.1
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
946.1
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
944.4
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
940.2
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
939.7
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
935.9
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
933.2
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
931.6
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
929.4
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
924.1
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
923.3
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
921.3
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
921.1
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
913.1
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
902.0
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
899.7
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
893.9
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
893.2
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
889.6
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
888.2
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
885.4
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
883.4
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
883.0
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
880.9
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
880.8
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
879.2
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
878.4
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
876.3
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
874.0
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
871.9
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
871.3
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
867.1
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
863.9
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
862.0
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
855.2
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
850.7
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
849.1
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
848.0
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
843.0
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
841.5
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
841.2
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
836.0
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
828.7
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
824.0
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
821.7
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
816.8
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
811.4
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
808.8
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
808.4
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
806.3
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
803.9
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
803.4
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
803.1
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
800.5
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
796.7
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
787.4
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
785.9
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
780.1
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
776.8
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
775.9
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
775.9
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
770.0
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
768.2
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
765.9
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
765.6
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
765.5
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
764.6
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
764.1
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
762.4
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
761.8
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
759.0
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
757.1
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
755.3
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
754.0
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
749.9
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
738.9
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
738.9
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
738.2
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
729.7
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
725.2
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
721.6
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
719.5
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
716.9
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
715.2
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
714.5
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
705.4
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
703.9
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
702.0
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
700.4
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
696.2
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
692.9
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
688.4
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
688.3
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
687.6
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
687.4
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
685.7
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
682.3
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
681.5
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
679.9
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
677.3
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
675.9
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
674.4
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
673.2
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
672.1
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
671.7
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
671.0
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
666.8
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
656.8
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
656.5
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
656.4
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
655.8
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
655.1
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
654.1
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
653.2
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
652.5
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
651.5
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
651.2
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
647.1
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
643.3
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
636.1
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
635.4
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
634.0
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
632.3
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
632.0
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
631.8
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
624.7
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
624.4
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
619.9
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
619.3
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
613.9
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
613.1
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
612.7
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
611.1
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
609.3
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
605.7
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
605.7
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
605.2
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
603.1
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
601.8
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
601.6
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
596.6
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
593.0
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
591.0
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
590.2
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
585.8
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
583.6
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
581.7
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
577.2
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
569.8
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
565.0
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
564.7
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
563.7
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
563.6
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
559.7
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
559.0
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
553.9
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
553.7
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
548.1
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
547.7
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
545.7
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
545.6
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
544.7
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
544.6
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
541.3
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
529.1
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
528.8
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
524.3
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
517.3
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
508.8
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
506.7
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
506.0
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
499.3
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
498.0
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
493.2
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
491.5
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
489.8
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
489.4
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
487.3
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
486.7
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
486.7
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
480.3
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
476.2
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
473.8
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
470.4
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
467.4
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
467.0
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
463.0
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
455.5
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
450.7
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
447.2
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
445.8
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
443.3
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
436.1
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
434.6
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
433.4
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
429.3
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
421.3
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
416.4
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
412.3
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
409.7
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
405.8
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
398.9
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
398.2
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
397.8
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
395.0
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
394.0
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
383.4
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
381.0
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
377.0
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
376.0
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
375.8
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
373.5
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
366.7
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
360.6
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
357.4
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
351.0
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
350.1
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
348.0
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
345.9
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
344.8
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 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.
RPL36 is potential prognostic, high expression is unfavorable in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
1051.8
Number of samples
231
Samples
Sample
Description
pTPM
DO45285
59 years, male, NA, stage:3, alive, 480 days
6327.2
DO48747
62 years, male, NA, stage:3, alive, 540 days
3278.8
DO45209
70 years, male, NA, stage:4, alive, 1350 days
3211.0
DO45251
57 years, female, NA, stage:2, alive, 900 days
3060.8
DO45299
70 years, female, NA, stage:1, alive, 1440 days
2910.1
DO50814
83 years, male, NA, stage:3, alive, 420 days
2895.9
DO45303
62 years, female, NA, stage:3, alive, 990 days
2574.1
DO23519
65 years, male, NA, stage:3, alive, 630 days
2469.9
DO45289
78 years, female, NA, stage:3, alive, 360 days
2439.9
DO45267
73 years, male, NA, stage:3, dead, 570 days
2381.7
DO48682
72 years, female, NA, stage:3, dead, 120 days
2309.6
DO45307
54 years, female, NA, stage:4, dead, 240 days
2272.8
DO48697
64 years, female, NA, stage:2, dead, 810 days
2271.7
DO45301
56 years, male, NA, stage:2, dead, 1440 days
2236.2
DO45297
61 years, female, NA, stage:4, dead, 1260 days
2180.3
DO45305
66 years, male, NA, stage:4, alive, 300 days
2124.3
DO45217
69 years, female, NA, stage:3, dead, 270 days
2080.4
DO48737
52 years, male, NA, stage:1, alive, 720 days
2063.4
DO50806
70 years, male, NA, stage:4, alive, 540 days
2049.4
DO23525
71 years, male, NA, stage:4, alive, 1050 days
2025.7
DO45093
71 years, male, NA, stage:2, dead, 720 days
1881.2
DO23515
71 years, male, NA, stage:2, alive, 1230 days
1866.8
DO48715
58 years, female, NA, stage:2, dead, 690 days
1803.6
DO48730
73 years, female, NA, stage:2, alive, 630 days
1755.7
DO45249
57 years, male, NA, stage:1, alive, 630 days
1753.9
DO45287
74 years, male, NA, stage:1, alive, 390 days
1664.9
DO45239
42 years, male, NA, stage:2, alive, 870 days
1661.8
DO50785
37 years, male, NA, stage:4, dead, 90 days
1657.4
DO23545
67 years, male, NA, stage:2, dead, 570 days
1626.9
DO50839
47 years, female, NA, stage:3, alive, 330 days
1619.2
DO23530
53 years, male, NA, stage:4, dead, 180 days
1606.0
DO50855
47 years, male, NA, stage:2, alive, 570 days
1598.8
DO50859
77 years, male, NA, stage:2, alive, 180 days
1596.6
DO48706
72 years, male, NA, stage:2, alive, 870 days
1536.3
DO45279
67 years, male, NA, stage:3, alive, 1290 days
1493.0
DO50793
76 years, male, NA, stage:4, alive, 540 days
1455.4
DO45191
61 years, female, NA, stage:2, alive, 1200 days
1440.1
DO50791
79 years, female, NA, stage:1, dead, 480 days
1426.2
DO45205
67 years, female, NA, stage:2, dead, 90 days
1425.6
DO48741
64 years, male, NA, stage:3, alive, 240 days
1423.8
DO45103
47 years, male, NA, stage:3, alive, 450 days
1414.6
DO45283
60 years, male, NA, stage:3, alive, 510 days
1412.1
DO45097
69 years, male, NA, stage:3, alive, 1620 days
1405.7
DO23511
83 years, female, NA, stage:3, dead, 180 days
1401.3
DO45259
65 years, male, NA, stage:3, alive, 330 days
1384.2
DO45211
76 years, male, NA, stage:3, alive, 240 days
1375.9
DO50809
56 years, male, NA, stage:3, dead, 720 days
1371.4
DO23523
52 years, male, NA, stage:3, alive, 1080 days
1367.3
DO23542
66 years, male, NA, stage:3, alive, 960 days
1366.6
DO45269
59 years, male, NA, stage:3, alive, 750 days
1347.3
DO48751
68 years, male, NA, stage:2, dead, 480 days
1332.5
DO23516
69 years, male, NA, stage:3, dead, 20 days
1328.1
DO45189
85 years, female, NA, stage:2, alive, 1200 days
1305.3
DO48759
73 years, male, NA, stage:3, alive, 720 days
1300.6
DO45095
66 years, male, NA, stage:2, alive, 1620 days
1296.8
DO45131
53 years, male, NA, stage:4, dead, 360 days
1279.0
DO50811
62 years, male, NA, stage:1, alive, 450 days
1268.1
DO45127
73 years, male, NA, stage:3, dead, 420 days
1253.8
DO48736
76 years, female, NA, stage:1, alive, 600 days
1251.4
DO45193
68 years, female, NA, stage:4, dead, 120 days
1244.4
DO50857
72 years, male, NA, stage:2, alive, 210 days
1234.3
DO50805
72 years, male, NA, stage:2, alive, 690 days
1233.8
DO50813
56 years, male, NA, stage:2, alive, 420 days
1214.7
DO50778
60 years, male, NA, stage:4, alive, 630 days
1212.4
DO23521
63 years, male, NA, stage:3, alive, 1110 days
1205.2
DO23508
79 years, female, NA, stage:2, alive, 390 days
1205.2
DO23526
66 years, male, NA, stage:3, alive, 1050 days
1198.4
DO45179
78 years, female, NA, stage:2, alive, 600 days
1192.7
DO23528
45 years, female, NA, stage:2, alive, 1020 days
1191.6
DO48732
73 years, male, NA, stage:3, alive, 630 days
1182.8
DO45125
58 years, male, NA, stage:3, alive, 1680 days
1178.9
DO45257
46 years, male, NA, stage:3, alive, 810 days
1173.1
DO48679
72 years, male, NA, stage:2, alive, 1200 days
1167.5
DO45187
32 years, female, NA, stage:1, alive, 1260 days
1143.2
DO45221
75 years, female, NA, stage:4, dead, 390 days
1142.8
DO45161
74 years, male, NA, stage:2, dead, 540 days
1129.6
DO45213
58 years, male, NA, stage:1, alive, 1200 days
1129.5
DO50802
49 years, male, NA, stage:2, alive, 930 days
1124.3
DO45141
73 years, male, NA, stage:2, alive, 1320 days
1118.4
DO48720
62 years, female, NA, stage:2, alive, 570 days
1114.9
DO48727
81 years, female, NA, stage:2, dead, 390 days
1099.6
DO45143
69 years, male, NA, stage:3, alive, 1290 days
1093.0
DO45203
71 years, female, NA, stage:2, alive, 1170 days
1090.5
DO23537
79 years, male, NA, stage:2, dead, 900 days
1086.3
DO45261
74 years, male, NA, stage:3, alive, 990 days
1070.7
DO45241
49 years, male, NA, stage:1, alive, 1080 days
1063.2
DO45165
75 years, male, NA, stage:2, alive, 690 days
1057.3
DO50815
62 years, male, NA, stage:3, alive, 150 days
1052.1
DO48717
54 years, male, NA, stage:4, dead, 180 days
1046.2
DO45135
77 years, male, NA, stage:1, alive, 1410 days
1042.8
DO45183
72 years, female, NA, stage:2, dead, 570 days
1028.5
DO48681
57 years, male, NA, stage:2, alive, 900 days
1027.5
DO45231
84 years, male, NA, stage:2, alive, 930 days
1019.7
DO45199
86 years, female, NA, stage:2, alive, 1350 days
1019.6
DO45109
63 years, male, NA, stage:2, alive, 1590 days
1001.7
DO48719
80 years, male, NA, stage:2, alive, 690 days
986.9
DO48712
50 years, male, NA, stage:2, alive, 810 days
977.0
DO23533
61 years, male, NA, stage:2, alive, 900 days
967.3
DO45275
65 years, male, NA, stage:3, dead, 10 days
967.0
DO45121
61 years, male, NA, stage:3, alive, 1530 days
953.2
DO50799
66 years, female, NA, stage:2, alive, 540 days
950.5
DO45237
58 years, male, NA, stage:2, alive, 900 days
938.1
DO45247
31 years, female, NA, stage:2, alive, 210 days
934.8
DO50822
66 years, male, NA, stage:2, alive, 510 days
931.1
DO45273
62 years, male, NA, stage:2, alive, 480 days
929.4
DO23548
78 years, female, NA, stage:1, alive, 840 days
922.5
DO48700
78 years, female, NA, stage:2, alive, 810 days
920.5
DO23536
56 years, male, NA, stage:2, alive, 930 days
919.8
DO45157
62 years, male, NA, stage:2, alive, 1980 days
916.4
DO23543
63 years, male, NA, stage:2, alive, 1020 days
912.0
DO45201
49 years, male, NA, stage:1, alive, 900 days
905.4
DO45149
70 years, female, NA, stage:2, alive, 1260 days
896.2
DO45155
69 years, male, NA, stage:2, alive, 2160 days
892.2
DO50816
63 years, male, NA, stage:2, alive, 390 days
883.0
DO45153
77 years, female, NA, stage:2, alive, 1380 days
882.4
DO23510
80 years, female, NA, stage:2, alive, 870 days
881.4
DO23539
77 years, male, NA, stage:1, alive, 1110 days
879.2
DO23535
67 years, male, NA, stage:1, alive, 960 days
878.0
DO48733
72 years, male, NA, stage:2, alive, 600 days
876.1
DO23540
73 years, male, NA, stage:1, alive, 750 days
874.4
DO45277
64 years, male, NA, stage:3, alive, 600 days
872.2
DO45219
78 years, male, NA, stage:2, alive, 1080 days
870.6
DO23514
64 years, male, NA, stage:2, alive, 1290 days
853.7
DO45139
63 years, male, NA, stage:3, alive, 1320 days
846.8
DO45207
68 years, male, NA, stage:1, alive, 1050 days
841.0
DO50776
75 years, male, NA, stage:1, alive, 690 days
837.6
DO48746
76 years, male, NA, stage:3, alive, 570 days
831.9
DO50800
74 years, male, NA, stage:2, alive, 510 days
830.3
DO45163
76 years, male, NA, stage:2, alive, 960 days
827.7
DO45243
74 years, female, NA, stage:3, alive, 930 days
824.1
DO23532
71 years, female, NA, stage:1, alive, 960 days
813.5
DO50783
62 years, male, NA, stage:3, alive, 480 days
811.3
DO50825
70 years, male, NA, stage:2, alive, 390 days
806.4
DO48693
71 years, male, NA, stage:2, alive, 900 days
794.6
DO23513
76 years, male, NA, stage:3, alive, 1200 days
793.3
DO48677
58 years, male, NA, stage:3, alive, 1140 days
787.0
DO50817
75 years, male, NA, stage:2, alive, 390 days
784.9
DO23549
74 years, male, NA, stage:3, alive, 990 days
779.1
DO23529
72 years, male, NA, stage:4, alive, 930 days
775.5
DO48704
68 years, female, NA, stage:3, alive, 750 days
767.7
DO50819
72 years, female, NA, stage:2, alive, 510 days
758.2
DO45225
69 years, male, NA, stage:1, alive, 1050 days
752.0
DO50845
72 years, male, NA, stage:3, alive, 210 days
745.2
DO50844
75 years, male, NA, stage:4, alive, 300 days
744.0
DO45092
62 years, male, NA, stage:4, dead, 1200 days
741.9
DO50840
49 years, male, NA, stage:2, alive, 330 days
735.9
DO48716
71 years, male, NA, stage:2, alive, 720 days
734.1
DO45263
67 years, male, NA, stage:3, dead, 270 days
732.5
DO45175
74 years, male, NA, stage:2, alive, 1140 days
731.7
DO48721
58 years, female, NA, stage:1, alive, 900 days
730.5
DO23547
74 years, male, NA, stage:1, alive, 1020 days
727.3
DO48728
74 years, female, NA, stage:2, alive, 150 days
726.5
DO50829
78 years, male, NA, stage:3, alive, 570 days
724.9
DO50820
77 years, female, NA, stage:3, alive, 510 days
722.2
DO45145
78 years, male, NA, stage:3, dead, 60 days
718.7
DO45171
56 years, male, NA, stage:3, alive, 600 days
707.7
DO48695
77 years, male, NA, stage:2, alive, 720 days
705.8
DO50774
68 years, female, NA, stage:2, alive, 720 days
704.9
DO45223
67 years, male, NA, stage:4, alive, 1020 days
704.2
DO48701
78 years, male, NA, stage:2, alive, 780 days
693.7
DO45115
81 years, male, NA, stage:2, alive, 840 days
685.3
DO227801
77 years, female, NA, stage:1, alive, 660 days
676.6
DO23546
63 years, male, NA, stage:2, alive, 1050 days
671.9
DO45181
84 years, female, NA, stage:2, alive, 1200 days
668.1
DO48725
66 years, male, NA, stage:1, alive, 780 days
667.2
DO45173
63 years, male, NA, stage:3, alive, 1170 days
666.3
DO45177
81 years, female, NA, stage:3, alive, 1260 days
665.4
DO45281
83 years, male, NA, stage:4, alive, 750 days
662.8
DO45123
78 years, female, NA, stage:2, dead, 570 days
654.8
DO23552
80 years, female, NA, stage:1, alive, 810 days
652.4
DO23541
65 years, male, NA, stage:2, alive, 930 days
651.2
DO45119
74 years, male, NA, stage:3, dead, 510 days
648.0
DO50850
74 years, male, NA, stage:3, alive, 720 days
647.9
DO48674
80 years, male, NA, stage:2, alive, 1260 days
646.6
DO45096
69 years, male, NA, stage:2, dead, 1290 days
642.4
DO23524
71 years, female, NA, stage:2, alive, 1050 days
639.0
DO45159
65 years, male, NA, stage:3, alive, 1470 days
635.7
DO23518
67 years, male, NA, stage:2, alive, 1320 days
635.3
DO45227
57 years, female, NA, stage:2, alive, 1020 days
635.1
DO45215
65 years, male, NA, stage:2, alive, 1170 days
632.5
DO23544
67 years, male, NA, stage:2, alive, 960 days
622.6
DO50818
65 years, male, NA, stage:2, alive, 510 days
621.4
DO23512
60 years, male, NA, stage:1, alive, 1260 days
619.2
DO45117
73 years, female, NA, stage:2, dead, 1110 days
618.7
DO45265
73 years, male, NA, stage:3, alive, 1020 days
616.6
DO48723
73 years, male, NA, stage:1, alive, 600 days
611.6
DO50789
73 years, female, NA, stage:2, alive, 570 days
610.7
DO50787
63 years, male, NA, stage:3, alive, 480 days
610.5
DO45255
81 years, male, NA, stage:3, alive, 720 days
595.8
DO48761
55 years, male, NA, stage:2, alive, 870 days
588.0
DO23538
67 years, male, NA, stage:2, alive, 450 days
570.8
DO23517
62 years, male, NA, stage:2, alive, 1200 days
570.2
DO23551
73 years, male, NA, stage:3, dead, 150 days
567.8
DO50804
81 years, male, NA, stage:2, alive, 720 days
565.3
DO45229
74 years, male, NA, stage:1, alive, 990 days
557.1
DO45233
83 years, male, NA, stage:3, alive, 900 days
557.1
DO48757
68 years, female, NA, stage:3, alive, 480 days
556.7
DO45107
63 years, female, NA, stage:2, alive, 1710 days
554.8
DO50803
62 years, female, NA, stage:1, alive, 540 days
548.6
DO45091
56 years, male, NA, stage:2, dead, 1320 days
540.6
DO50832
73 years, male, NA, stage:3, alive, 90 days
538.6
DO50807
67 years, male, NA, stage:1, alive, 540 days
529.3
DO23531
78 years, female, NA, stage:3, alive, 900 days
525.8
DO227643
79 years, male, NA, stage:2, alive, 1260 days
522.6
DO45253
50 years, male, NA, stage:2, alive, 870 days
521.0
DO50808
68 years, male, NA, stage:2, alive, 570 days
501.2
DO45185
89 years, male, NA, stage:2, alive, 600 days
499.9
DO45129
61 years, male, NA, stage:3, alive, 1470 days
488.4
DO45137
38 years, male, NA, stage:1, alive, 1320 days
471.6
DO48760
70 years, female, NA, stage:2, alive, 690 days
471.3
DO48672
81 years, male, NA, stage:2, alive, 450 days
469.7
DO45099
46 years, male, NA, stage:3, alive, 1590 days
465.5
DO23527
72 years, male, NA, stage:1, alive, 1050 days
451.4
DO45195
62 years, male, NA, stage:1, alive, 390 days
449.7
DO23534
60 years, male, NA, stage:2, alive, 840 days
437.3
DO45101
63 years, male, NA, stage:2, alive, 1680 days
429.2
DO45245
75 years, female, NA, stage:2, dead, 240 days
420.7
DO45113
58 years, male, NA, stage:3, alive, 1560 days
412.9
DO50798
77 years, male, NA, stage:3, dead, 30 days
409.7
DO45133
64 years, male, NA, stage:3, dead, 660 days
399.5
DO45094
76 years, male, NA, stage:3, alive, 1650 days
399.4
DO48743
69 years, female, NA, stage:2, alive, 570 days
398.1
DO48742
76 years, male, NA, stage:2, alive, 600 days
392.3
DO45235
68 years, female, NA, stage:1, alive, 900 days
355.4
DO45169
74 years, male, NA, stage:3, alive, 1350 days
312.1
DO45105
61 years, male, NA, stage:1, alive, 1680 days
310.1
DO45111
74 years, male, NA, stage:2, alive, 1590 days
289.6
DO45167
67 years, male, NA, stage:2, dead, 1440 days
288.5
DO23550
69 years, male, NA, stage:1, alive, 990 days
275.7
DO45197
51 years, male, NA, stage:2, alive, 1170 days
234.7
DO23509
60 years, male, NA, stage:3, dead, 780 days
205.2
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
557
Tumor
0.4
965
Tumor
0.3
851
Tumor
0.3
327
Tumor
0.3
685
Tumor
0.3
367
Tumor
0.3
648
Normal
0.3
393
Tumor
0.3
984
Normal
0.3
1021
Tumor
0.3
777
Tumor
0.3
1027
Tumor
0.3
537
Tumor
0.3
358
Normal
0.3
113
Tumor
0.3
526
Normal
0.2
661
Tumor
0.2
342
Normal
0.2
937
Tumor
0.2
356
Normal
0.2
912
Normal
0.2
617
Tumor
0.2
488
Normal
0.2
426
Normal
0.2
514
Normal
0.2
353
Tumor
0.2
866
Normal
0.2
1014
Normal
0.2
944
Normal
0.2
723
Tumor
0.2
1032
Normal
0.2
955
Tumor
0.2
864
Normal
0.2
212
Normal
0.2
745
Tumor
0.2
494
Normal
0.2
387
Tumor
0.2
285
Tumor
0.2
467
Tumor
0.2
1022
Normal
0.2
413
Tumor
0.2
573
Tumor
0.2
395
Tumor
0.2
314
Normal
0.2
567
Tumor
0.2
721
Tumor
0.2
227
Tumor
0.2
558
Normal
0.2
497
Tumor
0.2
414
Normal
0.2
1016
Normal
0.2
135
Tumor
0.2
884
Normal
0.2
568
Normal
0.2
862
Normal
0.2
448
Normal
0.2
466
Normal
0.2
142
Normal
0.2
742
Normal
0.1
952
Normal
0.1
1026
Normal
0.1
223
Tumor
0.1
666
Normal
0.1
564
Normal
0.1
672
Normal
0.1
865
Tumor
0.1
978
Normal
0.1
953
Tumor
0.1
524
Normal
0.1
462
Normal
0.1
388
Normal
0.1
916
Normal
0.1
528
Normal
0.1
714
Normal
0.1
852
Normal
0.1
664
Normal
0.1
982
Normal
0.1
331
Tumor
0.1
728
Normal
0.1
1042
Normal
0.1
518
Normal
0.1
913
Tumor
0.1
481
Tumor
0.1
267
Tumor
0.1
983
Tumor
0.1
286
Normal
0.1
392
Normal
0.1
127
Tumor
0.1
873
Tumor
0.1
534
Normal
0.1
1025
Tumor
0.1
957
Tumor
0.1
352
Normal
0.1
231
Tumor
0.1
375
Tumor
0.1
517
Tumor
0.1
815
Tumor
0.1
436
Normal
0.1
523
Tumor
0.1
474
Normal
0.1
284
Normal
0.1
867
Tumor
0.1
114
Normal
0.1
926
Normal
0.1
416
Normal
0.1
451
Tumor
0.1
376
Normal
0.1
394
Normal
0.1
572
Normal
0.1
224
Normal
0.1
515
Tumor
0.1
756
Normal
0.1
421
Tumor
0.1
1028
Normal
0.1
671
Tumor
0.1
1043
Tumor
0.1
1031
Tumor
0.1
922
Normal
0.1
686
Normal
0.1
1046
Normal
0.1
785
Tumor
0.1
422
Normal
0.1
951
Tumor
0.1
228
Normal
0.1
967
Tumor
0.1
981
Tumor
0.1
186
Normal
0.1
468
Normal
0.1
665
Tumor
0.1
738
Normal
0.1
493
Tumor
0.1
344
Normal
0.1
976
Normal
0.1
698
Normal
0.1
824
Normal
0.1
662
Normal
0.1
214
Normal
0.1
412
Normal
0.1
924
Normal
0.1
857
Tumor
0.1
187
Tumor
0.1
148
Normal
0.1
921
Tumor
0.1
484
Normal
0.1
513
Tumor
0.1
663
Tumor
0.1
713
Tumor
0.1
636
Normal
0.1
882
Normal
0.1
132
Normal
0.0
354
Normal
0.0
188
Normal
0.0
362
Normal
0.0
221
Tumor
0.0
328
Normal
0.0
923
Tumor
0.0
257
Tumor
0.0
312
Normal
0.0
968
Normal
0.0
136
Normal
0.0
172
Normal
0.0
918
Normal
0.0
482
Normal
0.0
111
Normal
0.0
298
Normal
0.0
232
Normal
0.0
434
Normal
0.0
554
Normal
0.0
464
Normal
0.0
727
Tumor
0.0
546
Normal
0.0
958
Normal
0.0
571
Tumor
0.0
525
Tumor
0.0
516
Normal
0.0
1041
Tumor
0.0
213
Tumor
0.0
271
Tumor
0.0
195
Tumor
0.0
755
Tumor
0.0
427
Tumor
0.0
956
Normal
0.0
778
Normal
0.0
258
Normal
0.0
818
Normal
0.0
925
Tumor
0.0
938
Normal
0.0
472
Normal
0.0
724
Normal
0.0
861
Tumor
0.0
368
Normal
0.0
874
Normal
0.0
428
Normal
0.0
858
Normal
0.0
817
Tumor
0.0
162
Normal
0.0
161
Tumor
0.0
455
Tumor
0.0
443
Tumor
0.0
483
Tumor
0.0
696
Normal
0.0
364
Normal
0.0
574
Normal
0.0
123
Tumor
0.0
964
Normal
0.0
863
Tumor
0.0
647
Tumor
0.0
746
Normal
0.0
332
Normal
0.0
424
Normal
0.0
716
Normal
0.0
145
Tumor
0.0
975
Tumor
0.0
277
Tumor
0.0
816
Normal
0.0
137
Tumor
0.0
954
Normal
0.0
396
Normal
0.0
465
Tumor
0.0
527
Tumor
0.0
432
Normal
0.0
385
Tumor
0.0
423
Tumor
0.0
471
Tumor
0.0
363
Tumor
0.0
914
Normal
0.0
452
Normal
0.0
943
Tumor
0.0
415
Tumor
0.0
563
Tumor
0.0
722
Normal
0.0
112
Tumor
0.0
128
Normal
0.0
1044
Normal
0.0
635
Tumor
0.0
124
Normal
0.0
365
Tumor
0.0
966
Normal
0.0
743
Tumor
0.0
492
Normal
0.0
628
Normal
0.0
196
Normal
0.0
533
Tumor
0.0
222
Normal
0.0
446
Normal
0.0
868
Normal
0.0
487
Tumor
0.0
391
Tumor
0.0
616
Normal
0.0
386
Normal
0.0
357
Tumor
-0.1
1015
Tumor
-0.1
425
Tumor
-0.1
535
Tumor
-0.1
878
Normal
-0.1
411
Tumor
-0.1
262
Normal
-0.1
146
Normal
-0.1
737
Tumor
-0.1
131
Tumor
-0.1
297
Tumor
-0.1
278
Normal
-0.1
881
Tumor
-0.1
445
Tumor
-0.1
431
Tumor
-0.1
915
Tumor
-0.1
218
Normal
-0.1
715
Tumor
-0.1
361
Tumor
-0.1
744
Normal
-0.1
461
Tumor
-0.1
463
Tumor
-0.1
366
Normal
-0.1
343
Tumor
-0.1
433
Tumor
-0.1
147
Tumor
-0.1
185
Tumor
-0.1
355
Tumor
-0.1
545
Tumor
-0.1
813
Tumor
-0.1
618
Normal
-0.1
456
Normal
-0.1
553
Tumor
-0.1
171
Tumor
-0.1
341
Tumor
-0.1
498
Normal
-0.1
272
Normal
-0.1
211
Tumor
-0.1
138
Normal
-0.1
883
Tumor
-0.1
477
Tumor
-0.1
126
Normal
-0.1
615
Tumor
-0.1
697
Tumor
-0.1
191
Tumor
-0.1
384
Normal
-0.1
383
Tumor
-0.1
447
Tumor
-0.1
977
Tumor
-0.2
141
Tumor
-0.2
814
Normal
-0.2
536
Normal
-0.2
478
Normal
-0.2
217
Tumor
-0.2
911
Tumor
-0.2
786
Normal
-0.2
641
Tumor
-0.2
963
Tumor
-0.2
268
Normal
-0.2
823
Tumor
-0.2
695
Tumor
-0.2
917
Tumor
-0.2
435
Tumor
-0.2
444
Normal
-0.2
261
Tumor
-0.2
642
Normal
-0.2
538
Normal
-0.2
473
Tumor
-0.2
627
Tumor
-0.2
741
Tumor
-0.3
313
Tumor
-0.3
125
Tumor
-0.3
1045
Tumor
-0.3
283
Tumor
-0.3
351
Tumor
-0.3
1013
Tumor
-0.3
877
Tumor
-0.3
311
Tumor
-0.4
192
Normal
-0.4
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.
The Human Protein Atlas project is funded
