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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.
RPL10A 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
847.3
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
3058.9
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
3003.2
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
2279.6
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
2139.0
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
2121.7
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
2112.8
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
2021.6
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
2015.0
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
1958.7
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
1930.6
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
1915.0
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
1882.3
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
1850.3
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
1794.1
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
1755.6
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
1747.4
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
1704.0
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
1702.6
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
1666.6
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
1661.6
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
1620.8
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
1615.7
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
1606.4
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
1601.2
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
1600.8
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
1563.3
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
1562.6
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
1561.6
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
1554.6
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
1550.4
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
1549.3
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
1536.3
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
1532.4
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
1505.4
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
1503.5
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
1468.6
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
1451.9
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
1421.2
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
1421.2
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
1390.2
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
1387.9
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
1372.9
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
1372.8
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
1371.2
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
1366.6
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
1352.4
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
1307.5
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
1304.9
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
1293.6
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
1292.1
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
1290.9
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
1278.2
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
1270.5
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
1264.0
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
1253.8
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
1245.1
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
1221.3
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
1217.7
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
1181.8
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
1171.5
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
1165.4
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
1163.1
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
1161.6
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
1160.3
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
1156.0
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
1146.9
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
1139.8
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
1138.7
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
1130.4
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
1128.1
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
1125.4
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
1119.1
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
1109.7
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
1108.5
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
1105.9
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
1103.1
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
1102.7
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
1102.5
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
1095.0
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
1079.8
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
1077.5
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
1068.3
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
1060.3
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
1058.9
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
1051.6
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
1050.5
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
1048.5
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
1034.0
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1030.7
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1022.3
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
1013.6
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
1013.2
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
1010.7
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
1008.3
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
1004.0
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
999.3
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
997.4
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
995.0
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
989.6
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
988.8
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
979.0
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
977.6
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
976.9
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
974.7
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
972.5
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
963.7
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
963.3
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
961.4
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
947.6
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
946.6
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
945.2
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
940.7
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
939.2
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
935.0
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
933.7
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
929.1
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
925.5
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
924.5
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
921.7
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
921.2
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
913.6
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
912.3
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
911.9
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
906.8
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
906.6
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
898.9
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
898.8
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
892.4
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
890.2
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
886.0
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
884.1
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
882.6
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
881.2
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
869.3
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
866.1
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
866.1
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
865.8
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
864.2
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
862.4
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
860.5
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
858.0
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
855.8
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
855.3
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
854.7
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
853.0
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
852.4
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
851.6
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
851.4
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
850.0
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
840.6
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
836.0
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
833.9
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
832.3
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
831.5
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
823.8
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
818.5
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
812.3
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
806.6
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
804.0
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
802.9
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
795.2
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
794.9
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
794.0
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
792.7
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
791.3
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
790.4
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
788.4
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
786.9
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
785.9
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
775.1
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
771.9
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
766.4
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
764.2
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
755.8
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
754.2
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
749.9
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
743.7
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
742.7
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
740.3
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
737.7
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
737.6
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
736.9
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
735.2
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
730.7
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
729.0
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
725.0
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
724.0
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
723.9
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
723.8
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
723.5
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
722.0
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
717.5
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
716.3
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
713.6
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
712.9
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
711.9
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
705.6
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
700.5
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
695.0
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
694.2
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
694.2
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
694.1
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
692.5
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
691.4
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
688.7
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
687.2
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
680.4
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
679.1
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
678.4
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
676.3
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
675.2
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
674.5
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
673.6
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
672.5
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
672.3
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
671.3
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
670.9
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
669.9
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
666.1
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
665.2
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
664.8
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
663.9
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
663.5
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
662.1
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
661.6
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
661.3
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
654.7
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
654.3
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
643.3
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
642.7
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
641.5
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
639.8
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
639.7
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
631.8
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
630.2
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
629.3
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
627.9
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
627.8
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
626.1
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
625.6
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
625.4
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
624.9
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
620.5
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
618.2
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
616.7
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
612.0
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
610.8
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
610.6
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
608.8
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
606.6
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
605.6
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
604.7
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
604.2
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
601.4
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
597.1
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
592.2
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
590.1
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
585.8
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
585.0
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
583.3
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
580.8
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
579.7
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
574.7
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
574.4
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
572.9
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
571.6
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
570.9
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
567.3
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
565.2
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
564.6
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
559.8
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
555.7
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
555.0
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
551.5
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
549.4
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
549.1
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
547.0
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
544.6
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
543.7
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
540.9
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
538.1
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
533.5
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
533.0
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
531.8
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
526.4
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
525.7
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
518.8
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
518.0
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
512.4
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
511.1
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
508.4
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
506.3
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
496.6
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
493.9
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
490.8
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
488.1
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
487.4
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
487.1
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
485.2
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
485.1
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
484.7
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
484.4
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
476.7
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
475.7
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
473.2
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
472.9
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
467.6
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
461.7
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
461.4
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
458.9
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
456.6
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
450.2
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
450.1
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
447.6
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
443.9
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
443.5
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
437.4
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
436.2
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
429.6
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
425.4
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
424.5
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
423.7
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
416.7
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
407.1
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
403.1
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
403.0
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
399.3
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
396.8
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
395.9
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
395.7
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
394.5
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
389.2
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
387.3
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
380.4
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
380.3
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
378.6
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
374.6
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
372.9
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
370.7
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
369.8
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
369.6
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
366.3
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
358.2
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
354.4
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
350.8
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
350.6
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
343.2
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
340.0
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
335.2
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
329.3
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
327.5
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
324.2
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
319.1
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
318.0
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
300.2
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
285.7
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
271.4
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
243.0
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
232.5
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
230.2
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
201.3
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 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.
RPL10A 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
1120.2
Number of samples
231
Samples
Sample
Description
pTPM
DO45285
59 years, male, NA, stage:3, alive, 480 days
4158.6
DO45189
85 years, female, NA, stage:2, alive, 1200 days
3369.7
DO50785
37 years, male, NA, stage:4, dead, 90 days
3351.4
DO23516
69 years, male, NA, stage:3, dead, 20 days
2986.4
DO45289
78 years, female, NA, stage:3, alive, 360 days
2898.9
DO45259
65 years, male, NA, stage:3, alive, 330 days
2755.7
DO45303
62 years, female, NA, stage:3, alive, 990 days
2658.4
DO45097
69 years, male, NA, stage:3, alive, 1620 days
2420.1
DO45251
57 years, female, NA, stage:2, alive, 900 days
2381.2
DO23528
45 years, female, NA, stage:2, alive, 1020 days
2369.3
DO23530
53 years, male, NA, stage:4, dead, 180 days
2365.0
DO23515
71 years, male, NA, stage:2, alive, 1230 days
2359.0
DO45283
60 years, male, NA, stage:3, alive, 510 days
2212.9
DO48682
72 years, female, NA, stage:3, dead, 120 days
2208.3
DO50855
47 years, male, NA, stage:2, alive, 570 days
2136.0
DO45305
66 years, male, NA, stage:4, alive, 300 days
2108.9
DO45193
68 years, female, NA, stage:4, dead, 120 days
2101.9
DO45279
67 years, male, NA, stage:3, alive, 1290 days
2090.4
DO48751
68 years, male, NA, stage:2, dead, 480 days
2025.0
DO45307
54 years, female, NA, stage:4, dead, 240 days
1998.7
DO45267
73 years, male, NA, stage:3, dead, 570 days
1976.8
DO48706
72 years, male, NA, stage:2, alive, 870 days
1912.8
DO50806
70 years, male, NA, stage:4, alive, 540 days
1886.0
DO45247
31 years, female, NA, stage:2, alive, 210 days
1883.5
DO50811
62 years, male, NA, stage:1, alive, 450 days
1870.1
DO48747
62 years, male, NA, stage:3, alive, 540 days
1858.4
DO23519
65 years, male, NA, stage:3, alive, 630 days
1819.1
DO50814
83 years, male, NA, stage:3, alive, 420 days
1815.3
DO23521
63 years, male, NA, stage:3, alive, 1110 days
1807.6
DO45187
32 years, female, NA, stage:1, alive, 1260 days
1765.0
DO45161
74 years, male, NA, stage:2, dead, 540 days
1746.6
DO48672
81 years, male, NA, stage:2, alive, 450 days
1726.1
DO45211
76 years, male, NA, stage:3, alive, 240 days
1723.5
DO23537
79 years, male, NA, stage:2, dead, 900 days
1715.0
DO45287
74 years, male, NA, stage:1, alive, 390 days
1705.4
DO48730
73 years, female, NA, stage:2, alive, 630 days
1703.1
DO48715
58 years, female, NA, stage:2, dead, 690 days
1677.7
DO45249
57 years, male, NA, stage:1, alive, 630 days
1664.0
DO48759
73 years, male, NA, stage:3, alive, 720 days
1654.4
DO45199
86 years, female, NA, stage:2, alive, 1350 days
1649.7
DO45299
70 years, female, NA, stage:1, alive, 1440 days
1631.2
DO50859
77 years, male, NA, stage:2, alive, 180 days
1624.8
DO45175
74 years, male, NA, stage:2, alive, 1140 days
1622.4
DO48723
73 years, male, NA, stage:1, alive, 600 days
1603.9
DO48746
76 years, male, NA, stage:3, alive, 570 days
1597.6
DO45301
56 years, male, NA, stage:2, dead, 1440 days
1595.0
DO23545
67 years, male, NA, stage:2, dead, 570 days
1585.3
DO23533
61 years, male, NA, stage:2, alive, 900 days
1561.4
DO45163
76 years, male, NA, stage:2, alive, 960 days
1559.0
DO23542
66 years, male, NA, stage:3, alive, 960 days
1533.5
DO45225
69 years, male, NA, stage:1, alive, 1050 days
1529.5
DO45297
61 years, female, NA, stage:4, dead, 1260 days
1510.0
DO50783
62 years, male, NA, stage:3, alive, 480 days
1508.5
DO45135
77 years, male, NA, stage:1, alive, 1410 days
1473.8
DO45209
70 years, male, NA, stage:4, alive, 1350 days
1465.7
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1454.1
DO45269
59 years, male, NA, stage:3, alive, 750 days
1439.3
DO45203
71 years, female, NA, stage:2, alive, 1170 days
1430.5
DO50844
75 years, male, NA, stage:4, alive, 300 days
1422.5
DO45239
42 years, male, NA, stage:2, alive, 870 days
1420.6
DO48732
73 years, male, NA, stage:3, alive, 630 days
1413.9
DO48736
76 years, female, NA, stage:1, alive, 600 days
1398.4
DO45221
75 years, female, NA, stage:4, dead, 390 days
1397.9
DO45231
84 years, male, NA, stage:2, alive, 930 days
1392.6
DO50799
66 years, female, NA, stage:2, alive, 540 days
1387.7
DO45165
75 years, male, NA, stage:2, alive, 690 days
1384.6
DO50822
66 years, male, NA, stage:2, alive, 510 days
1382.1
DO48697
64 years, female, NA, stage:2, dead, 810 days
1375.4
DO45261
74 years, male, NA, stage:3, alive, 990 days
1358.9
DO45277
64 years, male, NA, stage:3, alive, 600 days
1350.6
DO50793
76 years, male, NA, stage:4, alive, 540 days
1304.0
DO45141
73 years, male, NA, stage:2, alive, 1320 days
1297.7
DO45205
67 years, female, NA, stage:2, dead, 90 days
1280.0
DO45191
61 years, female, NA, stage:2, alive, 1200 days
1278.4
DO50802
49 years, male, NA, stage:2, alive, 930 days
1278.0
DO23508
79 years, female, NA, stage:2, alive, 390 days
1273.8
DO50839
47 years, female, NA, stage:3, alive, 330 days
1270.1
DO50778
60 years, male, NA, stage:4, alive, 630 days
1268.2
DO45253
50 years, male, NA, stage:2, alive, 870 days
1266.5
DO48677
58 years, male, NA, stage:3, alive, 1140 days
1259.1
DO45127
73 years, male, NA, stage:3, dead, 420 days
1256.9
DO45219
78 years, male, NA, stage:2, alive, 1080 days
1238.8
DO48727
81 years, female, NA, stage:2, dead, 390 days
1231.8
DO45173
63 years, male, NA, stage:3, alive, 1170 days
1231.1
DO48757
68 years, female, NA, stage:3, alive, 480 days
1230.2
DO48737
52 years, male, NA, stage:1, alive, 720 days
1228.7
DO23540
73 years, male, NA, stage:1, alive, 750 days
1220.0
DO45183
72 years, female, NA, stage:2, dead, 570 days
1218.0
DO45213
58 years, male, NA, stage:1, alive, 1200 days
1204.6
DO45217
69 years, female, NA, stage:3, dead, 270 days
1188.8
DO45095
66 years, male, NA, stage:2, alive, 1620 days
1179.4
DO50850
74 years, male, NA, stage:3, alive, 720 days
1174.6
DO45179
78 years, female, NA, stage:2, alive, 600 days
1156.5
DO45273
62 years, male, NA, stage:2, alive, 480 days
1147.5
DO50791
79 years, female, NA, stage:1, dead, 480 days
1142.0
DO50804
81 years, male, NA, stage:2, alive, 720 days
1140.4
DO50805
72 years, male, NA, stage:2, alive, 690 days
1122.7
DO50809
56 years, male, NA, stage:3, dead, 720 days
1113.8
DO48712
50 years, male, NA, stage:2, alive, 810 days
1081.0
DO45117
73 years, female, NA, stage:2, dead, 1110 days
1066.4
DO45281
83 years, male, NA, stage:4, alive, 750 days
1057.8
DO45171
56 years, male, NA, stage:3, alive, 600 days
1057.5
DO48733
72 years, male, NA, stage:2, alive, 600 days
1050.0
DO50820
77 years, female, NA, stage:3, alive, 510 days
1044.3
DO50857
72 years, male, NA, stage:2, alive, 210 days
1044.2
DO48700
78 years, female, NA, stage:2, alive, 810 days
1035.7
DO45185
89 years, male, NA, stage:2, alive, 600 days
1025.2
DO48720
62 years, female, NA, stage:2, alive, 570 days
1024.0
DO50825
70 years, male, NA, stage:2, alive, 390 days
1021.6
DO45139
63 years, male, NA, stage:3, alive, 1320 days
1020.8
DO45169
74 years, male, NA, stage:3, alive, 1350 days
1018.0
DO50800
74 years, male, NA, stage:2, alive, 510 days
1016.2
DO45227
57 years, female, NA, stage:2, alive, 1020 days
1013.5
DO45265
73 years, male, NA, stage:3, alive, 1020 days
1002.8
DO45121
61 years, male, NA, stage:3, alive, 1530 days
999.2
DO23511
83 years, female, NA, stage:3, dead, 180 days
983.5
DO48725
66 years, male, NA, stage:1, alive, 780 days
971.5
DO48695
77 years, male, NA, stage:2, alive, 720 days
970.4
DO23523
52 years, male, NA, stage:3, alive, 1080 days
966.5
DO45093
71 years, male, NA, stage:2, dead, 720 days
966.4
DO45157
62 years, male, NA, stage:2, alive, 1980 days
963.3
DO45257
46 years, male, NA, stage:3, alive, 810 days
957.9
DO48681
57 years, male, NA, stage:2, alive, 900 days
953.2
DO45119
74 years, male, NA, stage:3, dead, 510 days
951.4
DO45103
47 years, male, NA, stage:3, alive, 450 days
942.8
DO23536
56 years, male, NA, stage:2, alive, 930 days
942.7
DO23514
64 years, male, NA, stage:2, alive, 1290 days
941.3
DO45143
69 years, male, NA, stage:3, alive, 1290 days
932.3
DO50829
78 years, male, NA, stage:3, alive, 570 days
931.8
DO45237
58 years, male, NA, stage:2, alive, 900 days
928.8
DO45201
49 years, male, NA, stage:1, alive, 900 days
914.5
DO48728
74 years, female, NA, stage:2, alive, 150 days
904.5
DO23529
72 years, male, NA, stage:4, alive, 930 days
903.1
DO45229
74 years, male, NA, stage:1, alive, 990 days
867.0
DO45275
65 years, male, NA, stage:3, dead, 10 days
865.5
DO48717
54 years, male, NA, stage:4, dead, 180 days
863.3
DO23526
66 years, male, NA, stage:3, alive, 1050 days
862.6
DO45177
81 years, female, NA, stage:3, alive, 1260 days
846.7
DO48742
76 years, male, NA, stage:2, alive, 600 days
835.9
DO23513
76 years, male, NA, stage:3, alive, 1200 days
834.2
DO48704
68 years, female, NA, stage:3, alive, 750 days
833.0
DO45245
75 years, female, NA, stage:2, dead, 240 days
831.5
DO45223
67 years, male, NA, stage:4, alive, 1020 days
825.5
DO45131
53 years, male, NA, stage:4, dead, 360 days
810.2
DO50776
75 years, male, NA, stage:1, alive, 690 days
806.7
DO45243
74 years, female, NA, stage:3, alive, 930 days
802.5
DO45092
62 years, male, NA, stage:4, dead, 1200 days
800.3
DO227801
77 years, female, NA, stage:1, alive, 660 days
798.5
DO48719
80 years, male, NA, stage:2, alive, 690 days
786.4
DO50840
49 years, male, NA, stage:2, alive, 330 days
773.0
DO48741
64 years, male, NA, stage:3, alive, 240 days
765.6
DO45155
69 years, male, NA, stage:2, alive, 2160 days
763.0
DO50816
63 years, male, NA, stage:2, alive, 390 days
762.2
DO50798
77 years, male, NA, stage:3, dead, 30 days
762.1
DO23538
67 years, male, NA, stage:2, alive, 450 days
754.1
DO50815
62 years, male, NA, stage:3, alive, 150 days
752.1
DO45233
83 years, male, NA, stage:3, alive, 900 days
745.1
DO45113
58 years, male, NA, stage:3, alive, 1560 days
743.7
DO23527
72 years, male, NA, stage:1, alive, 1050 days
739.0
DO45159
65 years, male, NA, stage:3, alive, 1470 days
734.7
DO45133
64 years, male, NA, stage:3, dead, 660 days
719.7
DO45091
56 years, male, NA, stage:2, dead, 1320 days
711.4
DO45153
77 years, female, NA, stage:2, alive, 1380 days
709.1
DO45096
69 years, male, NA, stage:2, dead, 1290 days
699.6
DO50817
75 years, male, NA, stage:2, alive, 390 days
698.4
DO50818
65 years, male, NA, stage:2, alive, 510 days
695.9
DO45181
84 years, female, NA, stage:2, alive, 1200 days
685.9
DO45109
63 years, male, NA, stage:2, alive, 1590 days
666.5
DO48743
69 years, female, NA, stage:2, alive, 570 days
665.5
DO45255
81 years, male, NA, stage:3, alive, 720 days
646.0
DO45123
78 years, female, NA, stage:2, dead, 570 days
644.7
DO23510
80 years, female, NA, stage:2, alive, 870 days
638.8
DO23546
63 years, male, NA, stage:2, alive, 1050 days
638.8
DO45235
68 years, female, NA, stage:1, alive, 900 days
623.9
DO48716
71 years, male, NA, stage:2, alive, 720 days
623.4
DO23541
65 years, male, NA, stage:2, alive, 930 days
622.0
DO50787
63 years, male, NA, stage:3, alive, 480 days
620.1
DO48721
58 years, female, NA, stage:1, alive, 900 days
611.2
DO45137
38 years, male, NA, stage:1, alive, 1320 days
606.7
DO23543
63 years, male, NA, stage:2, alive, 1020 days
602.6
DO50813
56 years, male, NA, stage:2, alive, 420 days
602.6
DO50819
72 years, female, NA, stage:2, alive, 510 days
600.6
DO48679
72 years, male, NA, stage:2, alive, 1200 days
598.8
DO50789
73 years, female, NA, stage:2, alive, 570 days
597.2
DO23548
78 years, female, NA, stage:1, alive, 840 days
596.7
DO45094
76 years, male, NA, stage:3, alive, 1650 days
592.6
DO23547
74 years, male, NA, stage:1, alive, 1020 days
588.9
DO23524
71 years, female, NA, stage:2, alive, 1050 days
586.9
DO50774
68 years, female, NA, stage:2, alive, 720 days
580.1
DO45207
68 years, male, NA, stage:1, alive, 1050 days
578.7
DO45241
49 years, male, NA, stage:1, alive, 1080 days
578.5
DO23531
78 years, female, NA, stage:3, alive, 900 days
569.7
DO50807
67 years, male, NA, stage:1, alive, 540 days
568.0
DO45145
78 years, male, NA, stage:3, dead, 60 days
564.2
DO23549
74 years, male, NA, stage:3, alive, 990 days
562.9
DO48674
80 years, male, NA, stage:2, alive, 1260 days
559.4
DO50803
62 years, female, NA, stage:1, alive, 540 days
552.5
DO48701
78 years, male, NA, stage:2, alive, 780 days
547.3
DO23535
67 years, male, NA, stage:1, alive, 960 days
545.0
DO48761
55 years, male, NA, stage:2, alive, 870 days
544.5
DO45263
67 years, male, NA, stage:3, dead, 270 days
544.1
DO48760
70 years, female, NA, stage:2, alive, 690 days
541.8
DO45129
61 years, male, NA, stage:3, alive, 1470 days
538.7
DO50808
68 years, male, NA, stage:2, alive, 570 days
537.4
DO48693
71 years, male, NA, stage:2, alive, 900 days
536.6
DO45149
70 years, female, NA, stage:2, alive, 1260 days
516.3
DO23518
67 years, male, NA, stage:2, alive, 1320 days
509.0
DO45125
58 years, male, NA, stage:3, alive, 1680 days
505.6
DO45099
46 years, male, NA, stage:3, alive, 1590 days
499.2
DO23517
62 years, male, NA, stage:2, alive, 1200 days
497.0
DO23550
69 years, male, NA, stage:1, alive, 990 days
491.5
DO45197
51 years, male, NA, stage:2, alive, 1170 days
486.8
DO50845
72 years, male, NA, stage:3, alive, 210 days
441.5
DO45195
62 years, male, NA, stage:1, alive, 390 days
441.3
DO23551
73 years, male, NA, stage:3, dead, 150 days
437.0
DO45215
65 years, male, NA, stage:2, alive, 1170 days
428.3
DO50832
73 years, male, NA, stage:3, alive, 90 days
424.9
DO23539
77 years, male, NA, stage:1, alive, 1110 days
422.2
DO23544
67 years, male, NA, stage:2, alive, 960 days
419.6
DO227643
79 years, male, NA, stage:2, alive, 1260 days
419.3
DO23509
60 years, male, NA, stage:3, dead, 780 days
416.3
DO45115
81 years, male, NA, stage:2, alive, 840 days
408.7
DO23552
80 years, female, NA, stage:1, alive, 810 days
393.6
DO23512
60 years, male, NA, stage:1, alive, 1260 days
354.3
DO45111
74 years, male, NA, stage:2, alive, 1590 days
337.1
DO23532
71 years, female, NA, stage:1, alive, 960 days
318.4
DO23534
60 years, male, NA, stage:2, alive, 840 days
260.7
DO45101
63 years, male, NA, stage:2, alive, 1680 days
212.8
DO45167
67 years, male, NA, stage:2, dead, 1440 days
193.0
DO45107
63 years, female, NA, stage:2, alive, 1710 days
169.0
DO45105
61 years, male, NA, stage:1, alive, 1680 days
143.2
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
557
Tumor
0.7
367
Tumor
0.4
685
Tumor
0.4
1021
Tumor
0.4
467
Tumor
0.4
537
Tumor
0.4
223
Tumor
0.3
567
Tumor
0.3
353
Tumor
0.3
285
Tumor
0.3
978
Normal
0.3
395
Tumor
0.3
743
Tumor
0.3
661
Tumor
0.3
815
Tumor
0.3
332
Normal
0.3
331
Tumor
0.3
568
Normal
0.3
113
Tumor
0.3
851
Tumor
0.3
636
Normal
0.3
965
Tumor
0.3
227
Tumor
0.3
937
Tumor
0.3
135
Tumor
0.2
1014
Normal
0.2
314
Normal
0.2
912
Normal
0.2
523
Tumor
0.2
1032
Normal
0.2
358
Normal
0.2
218
Normal
0.2
955
Tumor
0.2
865
Tumor
0.2
191
Tumor
0.2
131
Tumor
0.2
983
Tumor
0.2
222
Normal
0.2
528
Normal
0.2
984
Normal
0.2
376
Normal
0.2
1027
Tumor
0.2
573
Tumor
0.2
497
Tumor
0.2
558
Normal
0.2
327
Tumor
0.2
267
Tumor
0.2
1025
Tumor
0.2
217
Tumor
0.2
564
Normal
0.2
518
Normal
0.2
393
Tumor
0.2
1044
Normal
0.2
298
Normal
0.2
136
Normal
0.2
196
Normal
0.2
414
Normal
0.2
1026
Normal
0.2
212
Normal
0.2
214
Normal
0.2
413
Tumor
0.2
982
Normal
0.2
422
Normal
0.2
671
Tumor
0.2
257
Tumor
0.1
713
Tumor
0.1
351
Tumor
0.1
721
Tumor
0.1
648
Normal
0.1
427
Tumor
0.1
777
Tumor
0.1
571
Tumor
0.1
545
Tumor
0.1
1022
Normal
0.1
724
Normal
0.1
926
Normal
0.1
745
Tumor
0.1
714
Normal
0.1
137
Tumor
0.1
664
Normal
0.1
448
Normal
0.1
375
Tumor
0.1
426
Normal
0.1
966
Normal
0.1
533
Tumor
0.1
342
Normal
0.1
352
Normal
0.1
142
Normal
0.1
723
Tumor
0.1
385
Tumor
0.1
114
Normal
0.1
444
Normal
0.1
824
Normal
0.1
228
Normal
0.1
286
Normal
0.1
443
Tumor
0.1
124
Normal
0.1
517
Tumor
0.1
938
Normal
0.1
738
Normal
0.1
696
Normal
0.1
923
Tumor
0.1
284
Normal
0.1
534
Normal
0.1
526
Normal
0.1
957
Tumor
0.1
1028
Normal
0.1
737
Tumor
0.1
446
Normal
0.1
195
Tumor
0.1
466
Normal
0.1
123
Tumor
0.1
617
Tumor
0.1
1031
Tumor
0.1
686
Normal
0.1
524
Normal
0.1
481
Tumor
0.1
742
Normal
0.1
1016
Normal
0.1
697
Tumor
0.1
172
Normal
0.1
666
Normal
0.1
672
Normal
0.1
162
Normal
0.1
148
Normal
0.1
981
Tumor
0.1
132
Normal
0.1
387
Tumor
0.1
146
Normal
0.1
536
Normal
0.1
224
Normal
0.1
1042
Normal
0.1
128
Normal
0.1
727
Tumor
0.1
662
Normal
0.1
878
Normal
0.1
728
Normal
0.1
1041
Tumor
0.1
232
Normal
0.1
384
Normal
0.1
412
Normal
0.1
478
Normal
0.1
778
Normal
0.1
817
Tumor
0.1
922
Normal
0.1
1043
Tumor
0.1
432
Normal
0.1
525
Tumor
0.1
665
Tumor
0.1
271
Tumor
0.1
147
Tumor
0.1
493
Tumor
0.1
424
Normal
0.1
488
Normal
0.1
362
Normal
0.1
916
Normal
0.1
171
Tumor
0.1
864
Normal
0.1
535
Tumor
0.1
572
Normal
0.1
967
Tumor
0.1
722
Normal
0.1
527
Tumor
0.1
918
Normal
0.1
873
Tumor
0.1
464
Normal
0.1
138
Normal
0.1
882
Normal
0.1
884
Normal
0.1
366
Normal
0.0
126
Normal
0.0
328
Normal
0.0
344
Normal
0.0
277
Tumor
0.0
515
Tumor
0.0
715
Tumor
0.0
421
Tumor
0.0
953
Tumor
0.0
823
Tumor
0.0
858
Normal
0.0
462
Normal
0.0
628
Normal
0.0
471
Tumor
0.0
312
Normal
0.0
451
Tumor
0.0
357
Tumor
0.0
951
Tumor
0.0
425
Tumor
0.0
818
Normal
0.0
354
Normal
0.0
924
Normal
0.0
278
Normal
0.0
356
Normal
0.0
1046
Normal
0.0
746
Normal
0.0
447
Tumor
0.0
213
Tumor
0.0
111
Normal
0.0
964
Normal
0.0
428
Normal
0.0
968
Normal
0.0
958
Normal
0.0
364
Normal
0.0
913
Tumor
0.0
914
Normal
0.0
187
Tumor
0.0
221
Tumor
0.0
261
Tumor
0.0
368
Normal
0.0
436
Normal
0.0
145
Tumor
0.0
852
Normal
0.0
866
Normal
0.0
472
Normal
0.0
394
Normal
0.0
474
Normal
0.0
755
Tumor
0.0
311
Tumor
0.0
546
Normal
0.0
716
Normal
0.0
813
Tumor
0.0
944
Normal
0.0
494
Normal
0.0
516
Normal
0.0
877
Tumor
0.0
785
Tumor
0.0
297
Tumor
0.0
313
Tumor
0.0
452
Normal
0.0
262
Normal
0.0
465
Tumor
0.0
186
Normal
0.0
698
Normal
0.0
141
Tumor
0.0
392
Normal
0.0
816
Normal
0.0
112
Tumor
0.0
862
Normal
0.0
272
Normal
0.0
468
Normal
0.0
921
Tumor
0.0
756
Normal
0.0
554
Normal
0.0
188
Normal
0.0
917
Tumor
0.0
127
Tumor
0.0
463
Tumor
0.0
231
Tumor
0.0
952
Normal
0.0
563
Tumor
0.0
433
Tumor
0.0
867
Tumor
0.0
492
Normal
0.0
482
Normal
0.0
192
Normal
0.0
574
Normal
0.0
365
Tumor
0.0
883
Tumor
0.0
976
Normal
0.0
514
Normal
0.0
431
Tumor
-0.1
211
Tumor
-0.1
185
Tumor
-0.1
473
Tumor
-0.1
963
Tumor
-0.1
647
Tumor
-0.1
423
Tumor
-0.1
663
Tumor
-0.1
956
Normal
-0.1
258
Normal
-0.1
456
Normal
-0.1
343
Tumor
-0.1
1015
Tumor
-0.1
954
Normal
-0.1
513
Tumor
-0.1
925
Tumor
-0.1
553
Tumor
-0.1
416
Normal
-0.1
483
Tumor
-0.1
786
Normal
-0.1
695
Tumor
-0.1
538
Normal
-0.1
434
Normal
-0.1
341
Tumor
-0.1
363
Tumor
-0.1
618
Normal
-0.1
161
Tumor
-0.1
283
Tumor
-0.1
881
Tumor
-0.1
943
Tumor
-0.1
484
Normal
-0.1
861
Tumor
-0.1
487
Tumor
-0.1
857
Tumor
-0.1
975
Tumor
-0.1
744
Normal
-0.1
268
Normal
-0.1
411
Tumor
-0.1
874
Normal
-0.1
814
Normal
-0.1
396
Normal
-0.1
461
Tumor
-0.1
1013
Tumor
-0.1
355
Tumor
-0.1
615
Tumor
-0.1
915
Tumor
-0.1
361
Tumor
-0.2
386
Normal
-0.2
125
Tumor
-0.2
388
Normal
-0.2
477
Tumor
-0.2
455
Tumor
-0.2
415
Tumor
-0.2
616
Normal
-0.2
977
Tumor
-0.2
642
Normal
-0.2
911
Tumor
-0.2
445
Tumor
-0.2
435
Tumor
-0.2
491
Tumor
-0.2
741
Tumor
-0.2
383
Tumor
-0.2
498
Normal
-0.2
641
Tumor
-0.3
868
Normal
-0.3
635
Tumor
-0.3
863
Tumor
-0.3
391
Tumor
-0.3
1045
Tumor
-0.3
627
Tumor
-0.4
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LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.