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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RPL34 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
956.4
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
3189.2
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
2920.1
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
2677.5
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
2552.1
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
2515.9
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
2299.9
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
2262.3
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
2240.7
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
2211.3
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
2210.5
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
2200.7
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
2163.0
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
2119.5
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
2097.9
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
2081.3
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
2008.7
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
2006.7
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
1916.9
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
1900.9
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
1891.4
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
1858.8
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
1855.8
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
1854.5
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
1850.5
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
1835.4
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
1814.1
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
1807.2
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
1804.2
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
1792.3
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
1703.5
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
1696.1
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
1685.9
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
1680.1
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
1671.4
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
1662.9
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
1620.8
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
1594.8
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
1590.2
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
1583.7
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
1574.9
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
1566.7
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
1566.1
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
1537.4
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
1536.8
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
1530.4
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
1506.8
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
1486.0
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
1460.2
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
1437.2
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
1434.8
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
1433.2
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
1431.1
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
1419.8
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
1407.1
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
1401.6
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
1395.8
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
1368.7
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
1367.9
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
1360.5
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
1356.2
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
1348.7
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
1347.6
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
1330.2
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
1329.8
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
1328.4
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
1322.8
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1320.1
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
1318.9
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
1304.5
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
1294.9
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
1294.3
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
1289.0
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
1273.9
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
1273.0
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
1271.8
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
1261.7
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
1257.1
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
1240.5
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
1218.8
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
1210.2
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
1208.8
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
1198.2
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
1190.7
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1187.4
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
1186.3
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
1185.0
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
1174.5
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
1174.0
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
1171.2
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
1170.4
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
1163.0
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
1158.3
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
1148.4
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
1145.9
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
1145.3
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1142.6
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
1122.8
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
1121.8
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
1113.4
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1109.9
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
1103.9
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
1099.2
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
1092.1
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
1090.7
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
1090.4
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
1090.1
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
1089.3
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1087.2
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
1085.7
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
1075.4
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1071.0
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
1069.7
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
1068.2
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
1067.3
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
1063.3
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
1062.7
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
1058.7
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
1057.0
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
1055.1
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
1049.8
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
1045.3
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
1042.2
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
1036.0
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
1030.7
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
1024.6
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
1020.4
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
1020.2
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
1018.2
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
1017.6
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
1010.4
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
1004.9
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
993.2
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
987.9
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
983.9
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
982.1
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
977.9
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
976.9
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
974.8
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
971.1
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
970.8
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
970.3
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
969.9
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
962.7
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
959.3
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
950.7
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
949.1
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
945.6
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
939.1
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
939.0
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
937.7
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
936.1
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
932.6
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
928.8
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
926.4
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
920.2
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
918.7
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
918.2
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
915.1
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
909.8
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
909.3
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
907.3
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
906.6
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
906.2
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
904.2
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
902.5
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
902.2
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
900.2
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
897.7
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
897.3
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
889.6
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
888.8
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
879.2
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
878.9
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
878.2
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
872.9
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
870.7
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
854.0
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
850.6
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
849.4
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
848.3
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
847.9
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
838.3
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
837.9
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
832.2
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
824.1
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
819.3
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
811.5
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
809.5
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
807.6
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
805.5
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
805.0
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
804.9
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
804.5
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
801.1
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
800.6
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
800.0
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
799.1
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
797.7
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
795.2
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
792.6
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
787.5
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
787.1
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
784.7
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
778.8
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
772.6
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
771.9
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
771.5
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
769.6
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
763.0
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
759.7
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
757.7
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
757.1
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
752.4
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
750.1
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
749.5
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
745.6
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
745.1
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
744.9
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
744.2
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
738.8
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
737.6
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
733.7
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
731.9
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
731.0
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
726.7
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
725.4
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
720.8
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
720.0
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
711.6
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
710.9
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
708.9
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
707.5
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
706.0
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
704.8
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
700.8
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
690.9
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
689.1
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
684.9
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
683.2
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
682.5
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
682.1
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
681.8
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
680.1
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
679.9
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
677.4
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
677.2
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
675.1
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
674.5
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
670.4
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
670.1
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
670.1
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
669.8
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
668.8
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
667.7
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
667.7
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
666.6
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
666.2
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
662.3
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
656.4
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
649.9
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
649.8
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
649.7
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
648.8
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
645.7
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
638.8
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
638.6
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
636.2
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
636.2
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
635.5
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
634.6
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
631.9
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
630.0
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
629.3
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
626.5
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
626.1
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
624.0
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
618.4
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
613.8
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
611.9
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
610.1
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
605.5
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
603.9
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
602.4
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
601.1
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
592.5
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
589.9
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
579.9
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
577.7
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
569.6
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
565.7
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
564.9
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
564.7
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
562.3
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
560.7
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
558.5
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
557.7
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
557.2
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
541.2
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
533.9
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
533.9
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
533.5
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
530.6
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
528.2
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
528.1
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
523.6
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
521.5
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
520.2
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
518.4
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
516.7
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
513.7
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
509.4
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
508.4
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
508.4
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
503.3
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
501.8
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
501.1
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
488.1
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
487.2
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
482.2
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
480.9
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
480.3
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
477.9
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
477.5
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
469.9
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
466.3
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
465.6
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
464.5
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
456.2
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
451.5
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
447.9
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
444.6
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
441.7
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
440.7
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
440.0
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
439.3
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
429.4
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
426.3
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
426.3
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
425.6
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
422.0
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
419.5
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
416.3
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
406.7
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
405.9
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
400.7
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
399.1
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
398.1
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
389.8
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
376.5
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
367.9
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
363.3
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
362.4
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
351.5
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
335.5
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
333.1
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
321.0
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
316.2
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
315.2
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
313.6
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
283.7
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
271.5
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RPL34 is not prognostic in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
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
633.0
Number of samples
231
Samples
Sample
Description
pTPM
DO50815
62 years, male, NA, stage:3, alive, 150 days
2743.7
DO50814
83 years, male, NA, stage:3, alive, 420 days
2269.1
DO45285
59 years, male, NA, stage:3, alive, 480 days
2085.1
DO45289
78 years, female, NA, stage:3, alive, 360 days
2045.3
DO45251
57 years, female, NA, stage:2, alive, 900 days
1714.3
DO48747
62 years, male, NA, stage:3, alive, 540 days
1711.5
DO48737
52 years, male, NA, stage:1, alive, 720 days
1587.5
DO45259
65 years, male, NA, stage:3, alive, 330 days
1370.6
DO45279
67 years, male, NA, stage:3, alive, 1290 days
1366.4
DO23530
53 years, male, NA, stage:4, dead, 180 days
1358.1
DO45145
78 years, male, NA, stage:3, dead, 60 days
1305.9
DO45287
74 years, male, NA, stage:1, alive, 390 days
1279.9
DO45283
60 years, male, NA, stage:3, alive, 510 days
1255.6
DO45097
69 years, male, NA, stage:3, alive, 1620 days
1231.3
DO50785
37 years, male, NA, stage:4, dead, 90 days
1230.5
DO45299
70 years, female, NA, stage:1, alive, 1440 days
1225.8
DO48682
72 years, female, NA, stage:3, dead, 120 days
1186.9
DO45249
57 years, male, NA, stage:1, alive, 630 days
1169.1
DO48715
58 years, female, NA, stage:2, dead, 690 days
1129.3
DO45307
54 years, female, NA, stage:4, dead, 240 days
1115.3
DO23508
79 years, female, NA, stage:2, alive, 390 days
1092.3
DO45103
47 years, male, NA, stage:3, alive, 450 days
1079.6
DO45267
73 years, male, NA, stage:3, dead, 570 days
1064.6
DO23515
71 years, male, NA, stage:2, alive, 1230 days
1032.9
DO45247
31 years, female, NA, stage:2, alive, 210 days
1011.8
DO48759
73 years, male, NA, stage:3, alive, 720 days
993.1
DO48730
73 years, female, NA, stage:2, alive, 630 days
979.0
DO45093
71 years, male, NA, stage:2, dead, 720 days
976.3
DO45301
56 years, male, NA, stage:2, dead, 1440 days
976.0
DO23519
65 years, male, NA, stage:3, alive, 630 days
972.1
DO45095
66 years, male, NA, stage:2, alive, 1620 days
969.3
DO23545
67 years, male, NA, stage:2, dead, 570 days
957.4
DO45141
73 years, male, NA, stage:2, alive, 1320 days
925.2
DO45269
59 years, male, NA, stage:3, alive, 750 days
925.1
DO45135
77 years, male, NA, stage:1, alive, 1410 days
922.0
DO50791
79 years, female, NA, stage:1, dead, 480 days
918.0
DO48751
68 years, male, NA, stage:2, dead, 480 days
904.9
DO50839
47 years, female, NA, stage:3, alive, 330 days
904.8
DO48736
76 years, female, NA, stage:1, alive, 600 days
899.9
DO45281
83 years, male, NA, stage:4, alive, 750 days
899.1
DO45273
62 years, male, NA, stage:2, alive, 480 days
884.9
DO45243
74 years, female, NA, stage:3, alive, 930 days
876.0
DO45231
84 years, male, NA, stage:2, alive, 930 days
853.7
DO50802
49 years, male, NA, stage:2, alive, 930 days
853.4
DO23546
63 years, male, NA, stage:2, alive, 1050 days
848.5
DO45297
61 years, female, NA, stage:4, dead, 1260 days
842.5
DO23547
74 years, male, NA, stage:1, alive, 1020 days
833.9
DO23516
69 years, male, NA, stage:3, dead, 20 days
825.1
DO45143
69 years, male, NA, stage:3, alive, 1290 days
824.9
DO45189
85 years, female, NA, stage:2, alive, 1200 days
821.9
DO45277
64 years, male, NA, stage:3, alive, 600 days
805.0
DO48672
81 years, male, NA, stage:2, alive, 450 days
799.0
DO45303
62 years, female, NA, stage:3, alive, 990 days
783.3
DO23514
64 years, male, NA, stage:2, alive, 1290 days
769.9
DO45305
66 years, male, NA, stage:4, alive, 300 days
769.6
DO45175
74 years, male, NA, stage:2, alive, 1140 days
761.7
DO45157
62 years, male, NA, stage:2, alive, 1980 days
758.7
DO45161
74 years, male, NA, stage:2, dead, 540 days
756.4
DO45241
49 years, male, NA, stage:1, alive, 1080 days
755.4
DO23533
61 years, male, NA, stage:2, alive, 900 days
752.9
DO23549
74 years, male, NA, stage:3, alive, 990 days
752.7
DO48723
73 years, male, NA, stage:1, alive, 600 days
741.2
DO45109
63 years, male, NA, stage:2, alive, 1590 days
726.9
DO45253
50 years, male, NA, stage:2, alive, 870 days
726.8
DO50811
62 years, male, NA, stage:1, alive, 450 days
718.3
DO50855
47 years, male, NA, stage:2, alive, 570 days
710.5
DO45261
74 years, male, NA, stage:3, alive, 990 days
708.0
DO50859
77 years, male, NA, stage:2, alive, 180 days
707.0
DO50806
70 years, male, NA, stage:4, alive, 540 days
706.1
DO23523
52 years, male, NA, stage:3, alive, 1080 days
703.6
DO50805
72 years, male, NA, stage:2, alive, 690 days
702.6
DO45163
76 years, male, NA, stage:2, alive, 960 days
699.6
DO23534
60 years, male, NA, stage:2, alive, 840 days
692.5
DO45165
75 years, male, NA, stage:2, alive, 690 days
682.9
DO45199
86 years, female, NA, stage:2, alive, 1350 days
676.9
DO50816
63 years, male, NA, stage:2, alive, 390 days
664.9
DO45181
84 years, female, NA, stage:2, alive, 1200 days
664.5
DO45217
69 years, female, NA, stage:3, dead, 270 days
661.9
DO48677
58 years, male, NA, stage:3, alive, 1140 days
660.1
DO45127
73 years, male, NA, stage:3, dead, 420 days
655.7
DO50813
56 years, male, NA, stage:2, alive, 420 days
652.5
DO45179
78 years, female, NA, stage:2, alive, 600 days
651.3
DO50793
76 years, male, NA, stage:4, alive, 540 days
634.7
DO50817
75 years, male, NA, stage:2, alive, 390 days
628.4
DO50809
56 years, male, NA, stage:3, dead, 720 days
627.2
DO45177
81 years, female, NA, stage:3, alive, 1260 days
626.4
DO50783
62 years, male, NA, stage:3, alive, 480 days
615.6
DO45219
78 years, male, NA, stage:2, alive, 1080 days
612.6
DO45221
75 years, female, NA, stage:4, dead, 390 days
603.0
DO227643
79 years, male, NA, stage:2, alive, 1260 days
600.9
DO50822
66 years, male, NA, stage:2, alive, 510 days
598.1
DO48697
64 years, female, NA, stage:2, dead, 810 days
596.7
DO45183
72 years, female, NA, stage:2, dead, 570 days
595.6
DO23526
66 years, male, NA, stage:3, alive, 1050 days
593.8
DO50800
74 years, male, NA, stage:2, alive, 510 days
593.4
DO23540
73 years, male, NA, stage:1, alive, 750 days
589.6
DO45117
73 years, female, NA, stage:2, dead, 1110 days
588.4
DO45209
70 years, male, NA, stage:4, alive, 1350 days
588.2
DO45223
67 years, male, NA, stage:4, alive, 1020 days
575.7
DO48746
76 years, male, NA, stage:3, alive, 570 days
574.9
DO48693
71 years, male, NA, stage:2, alive, 900 days
574.8
DO45119
74 years, male, NA, stage:3, dead, 510 days
573.1
DO45193
68 years, female, NA, stage:4, dead, 120 days
573.0
DO45213
58 years, male, NA, stage:1, alive, 1200 days
572.2
DO48719
80 years, male, NA, stage:2, alive, 690 days
567.5
DO45201
49 years, male, NA, stage:1, alive, 900 days
567.2
DO45203
71 years, female, NA, stage:2, alive, 1170 days
558.2
DO45171
56 years, male, NA, stage:3, alive, 600 days
557.1
DO45211
76 years, male, NA, stage:3, alive, 240 days
554.3
DO45255
81 years, male, NA, stage:3, alive, 720 days
549.6
DO23528
45 years, female, NA, stage:2, alive, 1020 days
546.3
DO45225
69 years, male, NA, stage:1, alive, 1050 days
546.3
DO45265
73 years, male, NA, stage:3, alive, 1020 days
544.0
DO45227
57 years, female, NA, stage:2, alive, 1020 days
542.1
DO23543
63 years, male, NA, stage:2, alive, 1020 days
540.9
DO48712
50 years, male, NA, stage:2, alive, 810 days
540.1
DO23548
78 years, female, NA, stage:1, alive, 840 days
539.6
DO23539
77 years, male, NA, stage:1, alive, 1110 days
538.0
DO45205
67 years, female, NA, stage:2, dead, 90 days
537.8
DO45153
77 years, female, NA, stage:2, alive, 1380 days
537.1
DO23536
56 years, male, NA, stage:2, alive, 930 days
534.1
DO45101
63 years, male, NA, stage:2, alive, 1680 days
531.0
DO48720
62 years, female, NA, stage:2, alive, 570 days
528.8
DO45233
83 years, male, NA, stage:3, alive, 900 days
526.8
DO48706
72 years, male, NA, stage:2, alive, 870 days
524.1
DO23538
67 years, male, NA, stage:2, alive, 450 days
521.4
DO45239
42 years, male, NA, stage:2, alive, 870 days
512.8
DO48732
73 years, male, NA, stage:3, alive, 630 days
510.9
DO45096
69 years, male, NA, stage:2, dead, 1290 days
510.4
DO48757
68 years, female, NA, stage:3, alive, 480 days
509.8
DO50825
70 years, male, NA, stage:2, alive, 390 days
508.1
DO45121
61 years, male, NA, stage:3, alive, 1530 days
507.8
DO45173
63 years, male, NA, stage:3, alive, 1170 days
505.7
DO48717
54 years, male, NA, stage:4, dead, 180 days
500.1
DO48727
81 years, female, NA, stage:2, dead, 390 days
496.4
DO45215
65 years, male, NA, stage:2, alive, 1170 days
489.6
DO50778
60 years, male, NA, stage:4, alive, 630 days
486.6
DO23517
62 years, male, NA, stage:2, alive, 1200 days
481.6
DO23531
78 years, female, NA, stage:3, alive, 900 days
481.5
DO48700
78 years, female, NA, stage:2, alive, 810 days
480.7
DO48725
66 years, male, NA, stage:1, alive, 780 days
477.6
DO23529
72 years, male, NA, stage:4, alive, 930 days
473.8
DO50799
66 years, female, NA, stage:2, alive, 540 days
472.3
DO50808
68 years, male, NA, stage:2, alive, 570 days
472.1
DO45139
63 years, male, NA, stage:3, alive, 1320 days
465.8
DO45191
61 years, female, NA, stage:2, alive, 1200 days
462.2
DO45169
74 years, male, NA, stage:3, alive, 1350 days
455.5
DO50844
75 years, male, NA, stage:4, alive, 300 days
455.4
DO23542
66 years, male, NA, stage:3, alive, 960 days
453.0
DO45113
58 years, male, NA, stage:3, alive, 1560 days
449.6
DO23544
67 years, male, NA, stage:2, alive, 960 days
445.1
DO23525
71 years, male, NA, stage:4, alive, 1050 days
444.3
DO50774
68 years, female, NA, stage:2, alive, 720 days
440.5
DO50818
65 years, male, NA, stage:2, alive, 510 days
439.5
DO45187
32 years, female, NA, stage:1, alive, 1260 days
438.1
DO45129
61 years, male, NA, stage:3, alive, 1470 days
434.6
DO45159
65 years, male, NA, stage:3, alive, 1470 days
434.1
DO48674
80 years, male, NA, stage:2, alive, 1260 days
433.4
DO45099
46 years, male, NA, stage:3, alive, 1590 days
429.5
DO50840
49 years, male, NA, stage:2, alive, 330 days
427.5
DO48741
64 years, male, NA, stage:3, alive, 240 days
427.1
DO227801
77 years, female, NA, stage:1, alive, 660 days
424.7
DO23532
71 years, female, NA, stage:1, alive, 960 days
422.0
DO50845
72 years, male, NA, stage:3, alive, 210 days
421.0
DO50798
77 years, male, NA, stage:3, dead, 30 days
420.1
DO45131
53 years, male, NA, stage:4, dead, 360 days
418.0
DO45123
78 years, female, NA, stage:2, dead, 570 days
416.0
DO45092
62 years, male, NA, stage:4, dead, 1200 days
414.6
DO23521
63 years, male, NA, stage:3, alive, 1110 days
412.4
DO50850
74 years, male, NA, stage:3, alive, 720 days
412.3
DO23527
72 years, male, NA, stage:1, alive, 1050 days
412.1
DO50804
81 years, male, NA, stage:2, alive, 720 days
409.4
DO45133
64 years, male, NA, stage:3, dead, 660 days
408.2
DO48695
77 years, male, NA, stage:2, alive, 720 days
405.4
DO48679
72 years, male, NA, stage:2, alive, 1200 days
403.2
DO23513
76 years, male, NA, stage:3, alive, 1200 days
401.6
DO48716
71 years, male, NA, stage:2, alive, 720 days
400.7
DO50787
63 years, male, NA, stage:3, alive, 480 days
395.9
DO23510
80 years, female, NA, stage:2, alive, 870 days
394.9
DO45185
89 years, male, NA, stage:2, alive, 600 days
394.4
DO45149
70 years, female, NA, stage:2, alive, 1260 days
384.0
DO48733
72 years, male, NA, stage:2, alive, 600 days
380.5
DO45125
58 years, male, NA, stage:3, alive, 1680 days
378.1
DO50857
72 years, male, NA, stage:2, alive, 210 days
378.1
DO45105
61 years, male, NA, stage:1, alive, 1680 days
377.6
DO23537
79 years, male, NA, stage:2, dead, 900 days
376.8
DO50807
67 years, male, NA, stage:1, alive, 540 days
374.2
DO48761
55 years, male, NA, stage:2, alive, 870 days
367.2
DO23518
67 years, male, NA, stage:2, alive, 1320 days
367.2
DO23541
65 years, male, NA, stage:2, alive, 930 days
364.2
DO45094
76 years, male, NA, stage:3, alive, 1650 days
362.2
DO48728
74 years, female, NA, stage:2, alive, 150 days
361.8
DO45229
74 years, male, NA, stage:1, alive, 990 days
359.1
DO45245
75 years, female, NA, stage:2, dead, 240 days
353.0
DO45235
68 years, female, NA, stage:1, alive, 900 days
351.4
DO45137
38 years, male, NA, stage:1, alive, 1320 days
350.2
DO50776
75 years, male, NA, stage:1, alive, 690 days
349.6
DO45275
65 years, male, NA, stage:3, dead, 10 days
347.8
DO50820
77 years, female, NA, stage:3, alive, 510 days
344.8
DO45263
67 years, male, NA, stage:3, dead, 270 days
340.3
DO48681
57 years, male, NA, stage:2, alive, 900 days
337.9
DO50803
62 years, female, NA, stage:1, alive, 540 days
331.8
DO45091
56 years, male, NA, stage:2, dead, 1320 days
328.8
DO45195
62 years, male, NA, stage:1, alive, 390 days
325.8
DO45237
58 years, male, NA, stage:2, alive, 900 days
325.2
DO23512
60 years, male, NA, stage:1, alive, 1260 days
323.2
DO45207
68 years, male, NA, stage:1, alive, 1050 days
320.2
DO45257
46 years, male, NA, stage:3, alive, 810 days
315.5
DO45155
69 years, male, NA, stage:2, alive, 2160 days
312.0
DO48742
76 years, male, NA, stage:2, alive, 600 days
308.7
DO50829
78 years, male, NA, stage:3, alive, 570 days
304.7
DO23551
73 years, male, NA, stage:3, dead, 150 days
303.8
DO50819
72 years, female, NA, stage:2, alive, 510 days
302.7
DO48743
69 years, female, NA, stage:2, alive, 570 days
299.2
DO23524
71 years, female, NA, stage:2, alive, 1050 days
298.3
DO45167
67 years, male, NA, stage:2, dead, 1440 days
297.3
DO45197
51 years, male, NA, stage:2, alive, 1170 days
287.3
DO48704
68 years, female, NA, stage:3, alive, 750 days
283.9
DO45107
63 years, female, NA, stage:2, alive, 1710 days
281.6
DO48721
58 years, female, NA, stage:1, alive, 900 days
279.2
DO48760
70 years, female, NA, stage:2, alive, 690 days
277.3
DO23511
83 years, female, NA, stage:3, dead, 180 days
271.6
DO50789
73 years, female, NA, stage:2, alive, 570 days
247.0
DO45115
81 years, male, NA, stage:2, alive, 840 days
236.4
DO23535
67 years, male, NA, stage:1, alive, 960 days
224.8
DO23550
69 years, male, NA, stage:1, alive, 990 days
204.1
DO48701
78 years, male, NA, stage:2, alive, 780 days
200.1
DO50832
73 years, male, NA, stage:3, alive, 90 days
180.1
DO23509
60 years, male, NA, stage:3, dead, 780 days
178.4
DO45111
74 years, male, NA, stage:2, alive, 1590 days
173.1
DO23552
80 years, female, NA, stage:1, alive, 810 days
99.9
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
557
Tumor
0.7
951
Tumor
0.7
1021
Tumor
0.6
685
Tumor
0.6
937
Tumor
0.6
537
Tumor
0.6
965
Tumor
0.5
523
Tumor
0.5
131
Tumor
0.5
285
Tumor
0.5
497
Tumor
0.5
743
Tumor
0.5
1025
Tumor
0.5
1027
Tumor
0.4
851
Tumor
0.4
367
Tumor
0.4
865
Tumor
0.4
395
Tumor
0.4
745
Tumor
0.4
515
Tumor
0.4
545
Tumor
0.3
493
Tumor
0.3
1031
Tumor
0.3
473
Tumor
0.3
981
Tumor
0.3
737
Tumor
0.3
393
Tumor
0.3
952
Normal
0.3
983
Tumor
0.3
355
Tumor
0.3
567
Tumor
0.3
327
Tumor
0.3
471
Tumor
0.3
267
Tumor
0.3
957
Tumor
0.3
385
Tumor
0.3
135
Tumor
0.3
223
Tumor
0.3
411
Tumor
0.3
661
Tumor
0.3
554
Normal
0.3
113
Tumor
0.3
528
Normal
0.2
1041
Tumor
0.2
387
Tumor
0.2
492
Normal
0.2
525
Tumor
0.2
533
Tumor
0.2
1043
Tumor
0.2
257
Tumor
0.2
955
Tumor
0.2
553
Tumor
0.2
866
Normal
0.2
923
Tumor
0.2
817
Tumor
0.2
331
Tumor
0.2
755
Tumor
0.2
925
Tumor
0.2
727
Tumor
0.2
715
Tumor
0.2
777
Tumor
0.2
123
Tumor
0.2
815
Tumor
0.2
261
Tumor
0.2
746
Normal
0.2
724
Normal
0.2
535
Tumor
0.2
527
Tumor
0.2
271
Tumor
0.2
915
Tumor
0.2
861
Tumor
0.2
538
Normal
0.1
518
Normal
0.1
873
Tumor
0.1
286
Normal
0.1
864
Normal
0.1
114
Normal
0.1
1015
Tumor
0.1
728
Normal
0.1
967
Tumor
0.1
546
Normal
0.1
868
Normal
0.1
483
Tumor
0.1
975
Tumor
0.1
1028
Normal
0.1
451
Tumor
0.1
568
Normal
0.1
277
Tumor
0.1
966
Normal
0.1
963
Tumor
0.1
524
Normal
0.1
494
Normal
0.1
477
Tumor
0.1
228
Normal
0.1
1026
Normal
0.1
376
Normal
0.1
874
Normal
0.1
232
Normal
0.1
785
Tumor
0.1
823
Tumor
0.1
484
Normal
0.1
443
Tumor
0.1
878
Normal
0.1
375
Tumor
0.1
697
Tumor
0.1
778
Normal
0.1
392
Normal
0.1
214
Normal
0.1
487
Tumor
0.0
534
Normal
0.0
218
Normal
0.0
211
Tumor
0.0
636
Normal
0.0
921
Tumor
0.0
222
Normal
0.0
137
Tumor
0.0
172
Normal
0.0
488
Normal
0.0
738
Normal
0.0
136
Normal
0.0
455
Tumor
0.0
231
Tumor
0.0
1016
Normal
0.0
227
Tumor
0.0
461
Tumor
0.0
867
Tumor
0.0
474
Normal
0.0
213
Tumor
0.0
526
Normal
0.0
744
Normal
0.0
258
Normal
0.0
452
Normal
0.0
977
Tumor
0.0
1013
Tumor
0.0
342
Normal
0.0
128
Normal
0.0
721
Tumor
0.0
1032
Normal
0.0
162
Normal
0.0
953
Tumor
0.0
564
Normal
0.0
412
Normal
0.0
786
Normal
0.0
212
Normal
0.0
984
Normal
0.0
141
Tumor
0.0
171
Tumor
0.0
124
Normal
0.0
713
Tumor
0.0
421
Tumor
0.0
912
Normal
0.0
491
Tumor
0.0
944
Normal
0.0
196
Normal
0.0
913
Tumor
-0.1
191
Tumor
-0.1
298
Normal
-0.1
1042
Normal
-0.1
111
Normal
-0.1
686
Normal
-0.1
353
Tumor
-0.1
514
Normal
-0.1
351
Tumor
-0.1
195
Tumor
-0.1
723
Tumor
-0.1
142
Normal
-0.1
816
Normal
-0.1
982
Normal
-0.1
284
Normal
-0.1
513
Tumor
-0.1
516
Normal
-0.1
573
Tumor
-0.1
262
Normal
-0.1
314
Normal
-0.1
278
Normal
-0.1
664
Normal
-0.1
883
Tumor
-0.1
396
Normal
-0.1
714
Normal
-0.1
343
Tumor
-0.1
132
Normal
-0.1
147
Tumor
-0.1
574
Normal
-0.1
558
Normal
-0.1
572
Normal
-0.1
368
Normal
-0.1
394
Normal
-0.1
956
Normal
-0.1
976
Normal
-0.1
272
Normal
-0.1
148
Normal
-0.1
1022
Normal
-0.1
696
Normal
-0.1
862
Normal
-0.1
415
Tumor
-0.1
386
Normal
-0.1
221
Tumor
-0.1
362
Normal
-0.1
463
Tumor
-0.1
138
Normal
-0.1
187
Tumor
-0.1
357
Tumor
-0.1
217
Tumor
-0.1
332
Normal
-0.1
464
Normal
-0.1
436
Normal
-0.1
366
Normal
-0.1
358
Normal
-0.1
666
Normal
-0.1
186
Normal
-0.1
617
Tumor
-0.1
911
Tumor
-0.1
628
Normal
-0.1
422
Normal
-0.1
365
Tumor
-0.1
448
Normal
-0.1
426
Normal
-0.1
742
Normal
-0.1
467
Tumor
-0.1
918
Normal
-0.2
145
Tumor
-0.2
465
Tumor
-0.2
268
Normal
-0.2
283
Tumor
-0.2
924
Normal
-0.2
297
Tumor
-0.2
423
Tumor
-0.2
813
Tumor
-0.2
161
Tumor
-0.2
466
Normal
-0.2
863
Tumor
-0.2
1014
Normal
-0.2
313
Tumor
-0.2
352
Normal
-0.2
695
Tumor
-0.2
434
Normal
-0.2
188
Normal
-0.2
344
Normal
-0.2
356
Normal
-0.2
388
Normal
-0.2
363
Tumor
-0.2
126
Normal
-0.2
462
Normal
-0.2
824
Normal
-0.2
571
Tumor
-0.2
648
Normal
-0.2
916
Normal
-0.2
958
Normal
-0.2
185
Tumor
-0.2
943
Tumor
-0.2
922
Normal
-0.2
361
Tumor
-0.2
858
Normal
-0.2
312
Normal
-0.2
427
Tumor
-0.2
716
Normal
-0.2
635
Tumor
-0.2
662
Normal
-0.2
446
Normal
-0.2
881
Tumor
-0.2
517
Tumor
-0.2
857
Tumor
-0.2
413
Tumor
-0.2
112
Tumor
-0.2
618
Normal
-0.2
425
Tumor
-0.2
445
Tumor
-0.2
224
Normal
-0.2
642
Normal
-0.2
456
Normal
-0.2
391
Tumor
-0.2
852
Normal
-0.2
756
Normal
-0.2
741
Tumor
-0.2
926
Normal
-0.2
672
Normal
-0.3
1044
Normal
-0.3
414
Normal
-0.3
968
Normal
-0.3
447
Tumor
-0.3
671
Tumor
-0.3
616
Normal
-0.3
125
Tumor
-0.3
665
Tumor
-0.3
663
Tumor
-0.3
416
Normal
-0.3
383
Tumor
-0.3
917
Tumor
-0.3
818
Normal
-0.3
472
Normal
-0.3
384
Normal
-0.3
914
Normal
-0.3
978
Normal
-0.3
882
Normal
-0.3
364
Normal
-0.3
433
Tumor
-0.3
481
Tumor
-0.3
722
Normal
-0.3
964
Normal
-0.3
563
Tumor
-0.3
814
Normal
-0.3
536
Normal
-0.3
354
Normal
-0.4
431
Tumor
-0.4
341
Tumor
-0.4
468
Normal
-0.4
428
Normal
-0.4
146
Normal
-0.4
328
Normal
-0.4
482
Normal
-0.4
647
Tumor
-0.4
432
Normal
-0.4
478
Normal
-0.4
938
Normal
-0.4
698
Normal
-0.4
1046
Normal
-0.4
192
Normal
-0.4
615
Tumor
-0.4
424
Normal
-0.4
435
Tumor
-0.5
311
Tumor
-0.5
877
Tumor
-0.5
498
Normal
-0.5
1045
Tumor
-0.5
954
Normal
-0.5
127
Tumor
-0.5
884
Normal
-0.5
641
Tumor
-0.6
627
Tumor
-0.6
444
Normal
-0.7
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
