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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.
RPL5 is validated prognostic, high expression is unfavorable in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 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
744.6
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
3445.6
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
2476.7
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
1965.0
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
1963.5
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
1909.9
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
1900.1
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
1886.5
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
1824.5
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
1802.2
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
1801.9
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
1785.9
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
1706.1
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1680.7
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
1630.3
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
1620.3
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
1616.5
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
1593.4
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
1585.5
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
1582.2
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
1578.6
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
1565.6
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
1526.7
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
1495.8
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
1460.7
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
1456.0
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
1426.6
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
1413.0
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
1403.4
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
1399.6
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
1387.2
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
1376.4
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
1371.6
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
1368.7
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
1360.4
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
1358.1
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
1318.3
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
1314.9
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
1309.0
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
1302.0
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1282.4
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
1255.4
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
1250.7
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
1243.6
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
1210.9
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
1199.6
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
1188.6
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
1180.2
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
1179.5
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
1176.9
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
1167.9
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1167.4
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
1158.7
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
1146.6
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
1119.1
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
1115.3
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
1114.1
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
1109.3
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
1105.6
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
1070.4
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
1062.8
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
1051.6
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
1047.7
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
1047.4
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
1047.0
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
1031.1
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
1018.2
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
1017.2
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
1013.3
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
993.4
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
992.2
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
991.7
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
990.7
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
981.1
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
970.0
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
964.4
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
960.4
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
950.3
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
942.3
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
939.8
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
937.9
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
933.6
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
932.4
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
931.8
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
926.8
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
926.5
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
925.4
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
919.1
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
917.1
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
910.4
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
890.8
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
887.1
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
885.4
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
882.5
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
878.5
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
876.7
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
874.9
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
873.5
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
871.0
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
868.4
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
861.4
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
859.5
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
853.1
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
851.9
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
851.9
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
850.0
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
843.4
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
843.3
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
842.5
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
837.9
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
833.5
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
828.0
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
806.5
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
802.9
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
800.3
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
799.8
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
799.1
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
797.7
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
796.1
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
783.3
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
782.1
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
777.6
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
776.7
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
767.9
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
756.1
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
754.1
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
748.8
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
744.3
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
742.1
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
739.9
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
732.6
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
731.6
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
730.6
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
726.9
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
724.3
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
722.0
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
719.8
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
718.6
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
717.8
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
714.7
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
712.9
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
708.1
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
705.4
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
704.7
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
704.7
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
698.3
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
698.2
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
694.2
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
689.3
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
687.9
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
686.7
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
682.6
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
675.3
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
671.3
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
670.3
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
669.0
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
668.2
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
666.6
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
664.3
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
663.8
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
659.1
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
653.5
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
652.7
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
647.2
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
646.0
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
645.7
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
643.9
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
641.2
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
640.1
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
638.7
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
638.5
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
635.6
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
634.8
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
633.8
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
631.3
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
630.8
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
630.6
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
630.6
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
624.5
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
621.8
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
621.7
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
620.9
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
620.0
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
617.9
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
617.5
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
616.9
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
614.7
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
614.2
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
613.8
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
610.7
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
610.7
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
608.3
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
605.4
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
603.9
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
603.1
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
601.5
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
599.2
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
599.2
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
596.8
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
596.8
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
596.5
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
596.2
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
593.5
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
591.2
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
587.4
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
585.8
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
583.1
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
581.9
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
581.1
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
580.6
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
576.3
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
576.0
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
575.7
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
575.1
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
572.4
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
572.2
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
568.6
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
567.7
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
564.7
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
563.8
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
560.9
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
556.0
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
554.9
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
553.0
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
553.0
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
552.5
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
552.1
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
552.0
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
551.6
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
551.1
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
546.6
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
545.1
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
544.4
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
541.7
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
539.8
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
536.8
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
536.0
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
534.7
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
534.0
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
531.6
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
531.5
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
531.0
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
529.5
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
525.3
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
519.8
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
519.0
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
517.9
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
517.6
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
516.9
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
515.3
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
513.4
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
512.1
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
507.7
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
505.9
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
505.8
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
505.8
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
501.7
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
500.2
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
499.5
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
497.6
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
496.9
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
495.2
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
495.1
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
495.0
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
489.8
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
487.0
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
486.6
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
484.0
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
481.3
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
481.1
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
479.9
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
478.9
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
478.8
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
477.3
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
475.8
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
471.4
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
469.1
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
469.0
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
468.4
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
467.5
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
467.3
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
467.2
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
466.7
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
460.9
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
457.8
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
456.9
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
455.9
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
453.5
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
441.0
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
440.2
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
437.7
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
436.6
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
436.2
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
435.0
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
432.7
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
431.0
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
430.0
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
429.3
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
428.8
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
428.2
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
425.7
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
425.6
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
425.3
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
422.8
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
422.3
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
420.8
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
420.4
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
419.8
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
419.4
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
418.7
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
416.3
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
412.0
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
410.7
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
405.0
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
399.8
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
398.3
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
397.5
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
396.9
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
393.6
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
392.3
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
389.7
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
388.5
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
386.4
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
385.4
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
383.2
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
381.5
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
379.4
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
378.6
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
378.0
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
377.7
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
368.7
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
368.1
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
367.8
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
366.5
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
366.1
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
363.7
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
363.2
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
359.9
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
356.5
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
351.6
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
349.6
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
348.9
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
348.7
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
346.9
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
343.7
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
342.7
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
341.3
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
338.8
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
337.3
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
327.1
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
322.4
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
314.2
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
310.5
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
305.8
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
305.2
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
303.6
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
291.9
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
276.7
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
275.5
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
259.5
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
221.9
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
210.4
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.
RPL5 is validated prognostic, high expression is unfavorable in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 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
1052.5
Number of samples
231
Samples
Sample
Description
pTPM
DO45251
57 years, female, NA, stage:2, alive, 900 days
4517.9
DO50815
62 years, male, NA, stage:3, alive, 150 days
2830.1
DO45285
59 years, male, NA, stage:3, alive, 480 days
2687.3
DO50785
37 years, male, NA, stage:4, dead, 90 days
2425.1
DO45305
66 years, male, NA, stage:4, alive, 300 days
2417.9
DO45193
68 years, female, NA, stage:4, dead, 120 days
2325.7
DO48682
72 years, female, NA, stage:3, dead, 120 days
2220.8
DO45093
71 years, male, NA, stage:2, dead, 720 days
2163.5
DO45265
73 years, male, NA, stage:3, alive, 1020 days
2144.9
DO45259
65 years, male, NA, stage:3, alive, 330 days
2103.9
DO45221
75 years, female, NA, stage:4, dead, 390 days
2052.3
DO45289
78 years, female, NA, stage:3, alive, 360 days
2041.3
DO48730
73 years, female, NA, stage:2, alive, 630 days
1989.6
DO23515
71 years, male, NA, stage:2, alive, 1230 days
1955.2
DO45209
70 years, male, NA, stage:4, alive, 1350 days
1952.1
DO23530
53 years, male, NA, stage:4, dead, 180 days
1900.4
DO45247
31 years, female, NA, stage:2, alive, 210 days
1846.8
DO45239
42 years, male, NA, stage:2, alive, 870 days
1841.1
DO45269
59 years, male, NA, stage:3, alive, 750 days
1825.0
DO45145
78 years, male, NA, stage:3, dead, 60 days
1796.3
DO45173
63 years, male, NA, stage:3, alive, 1170 days
1793.1
DO45287
74 years, male, NA, stage:1, alive, 390 days
1783.2
DO45303
62 years, female, NA, stage:3, alive, 990 days
1739.2
DO45249
57 years, male, NA, stage:1, alive, 630 days
1731.1
DO48723
73 years, male, NA, stage:1, alive, 600 days
1720.0
DO45189
85 years, female, NA, stage:2, alive, 1200 days
1719.6
DO45307
54 years, female, NA, stage:4, dead, 240 days
1663.6
DO45127
73 years, male, NA, stage:3, dead, 420 days
1645.5
DO45283
60 years, male, NA, stage:3, alive, 510 days
1636.2
DO23519
65 years, male, NA, stage:3, alive, 630 days
1629.0
DO48751
68 years, male, NA, stage:2, dead, 480 days
1624.4
DO23545
67 years, male, NA, stage:2, dead, 570 days
1602.2
DO45161
74 years, male, NA, stage:2, dead, 540 days
1587.4
DO45267
73 years, male, NA, stage:3, dead, 570 days
1586.6
DO45297
61 years, female, NA, stage:4, dead, 1260 days
1583.2
DO48706
72 years, male, NA, stage:2, alive, 870 days
1570.5
DO45273
62 years, male, NA, stage:2, alive, 480 days
1565.9
DO45277
64 years, male, NA, stage:3, alive, 600 days
1543.1
DO50806
70 years, male, NA, stage:4, alive, 540 days
1508.0
DO45097
69 years, male, NA, stage:3, alive, 1620 days
1505.8
DO23537
79 years, male, NA, stage:2, dead, 900 days
1499.8
DO45191
61 years, female, NA, stage:2, alive, 1200 days
1492.5
DO45219
78 years, male, NA, stage:2, alive, 1080 days
1484.2
DO45281
83 years, male, NA, stage:4, alive, 750 days
1479.7
DO45279
67 years, male, NA, stage:3, alive, 1290 days
1477.3
DO48737
52 years, male, NA, stage:1, alive, 720 days
1472.5
DO48757
68 years, female, NA, stage:3, alive, 480 days
1426.7
DO50814
83 years, male, NA, stage:3, alive, 420 days
1399.2
DO45217
69 years, female, NA, stage:3, dead, 270 days
1393.7
DO45205
67 years, female, NA, stage:2, dead, 90 days
1375.7
DO50799
66 years, female, NA, stage:2, alive, 540 days
1366.8
DO50778
60 years, male, NA, stage:4, alive, 630 days
1363.7
DO45231
84 years, male, NA, stage:2, alive, 930 days
1357.7
DO48720
62 years, female, NA, stage:2, alive, 570 days
1356.3
DO45203
71 years, female, NA, stage:2, alive, 1170 days
1353.8
DO48727
81 years, female, NA, stage:2, dead, 390 days
1348.8
DO50844
75 years, male, NA, stage:4, alive, 300 days
1347.7
DO45165
75 years, male, NA, stage:2, alive, 690 days
1342.4
DO45257
46 years, male, NA, stage:3, alive, 810 days
1338.5
DO50825
70 years, male, NA, stage:2, alive, 390 days
1318.4
DO48747
62 years, male, NA, stage:3, alive, 540 days
1317.0
DO48681
57 years, male, NA, stage:2, alive, 900 days
1315.5
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1311.6
DO23516
69 years, male, NA, stage:3, dead, 20 days
1293.2
DO50809
56 years, male, NA, stage:3, dead, 720 days
1273.6
DO23521
63 years, male, NA, stage:3, alive, 1110 days
1270.8
DO50802
49 years, male, NA, stage:2, alive, 930 days
1268.2
DO45213
58 years, male, NA, stage:1, alive, 1200 days
1259.5
DO50793
76 years, male, NA, stage:4, alive, 540 days
1253.6
DO45237
58 years, male, NA, stage:2, alive, 900 days
1249.8
DO50811
62 years, male, NA, stage:1, alive, 450 days
1237.4
DO48672
81 years, male, NA, stage:2, alive, 450 days
1215.6
DO45149
70 years, female, NA, stage:2, alive, 1260 days
1202.3
DO45091
56 years, male, NA, stage:2, dead, 1320 days
1185.1
DO45185
89 years, male, NA, stage:2, alive, 600 days
1170.7
DO45299
70 years, female, NA, stage:1, alive, 1440 days
1168.3
DO45141
73 years, male, NA, stage:2, alive, 1320 days
1162.7
DO23536
56 years, male, NA, stage:2, alive, 930 days
1161.3
DO48697
64 years, female, NA, stage:2, dead, 810 days
1158.7
DO45301
56 years, male, NA, stage:2, dead, 1440 days
1148.1
DO50859
77 years, male, NA, stage:2, alive, 180 days
1132.2
DO48732
73 years, male, NA, stage:3, alive, 630 days
1131.8
DO45225
69 years, male, NA, stage:1, alive, 1050 days
1128.5
DO45175
74 years, male, NA, stage:2, alive, 1140 days
1115.0
DO45157
62 years, male, NA, stage:2, alive, 1980 days
1101.1
DO50855
47 years, male, NA, stage:2, alive, 570 days
1099.7
DO23533
61 years, male, NA, stage:2, alive, 900 days
1099.3
DO45103
47 years, male, NA, stage:3, alive, 450 days
1093.2
DO45253
50 years, male, NA, stage:2, alive, 870 days
1092.9
DO45095
66 years, male, NA, stage:2, alive, 1620 days
1089.9
DO50791
79 years, female, NA, stage:1, dead, 480 days
1084.2
DO45135
77 years, male, NA, stage:1, alive, 1410 days
1079.2
DO48677
58 years, male, NA, stage:3, alive, 1140 days
1074.8
DO45139
63 years, male, NA, stage:3, alive, 1320 days
1069.7
DO45243
74 years, female, NA, stage:3, alive, 930 days
1067.9
DO45113
58 years, male, NA, stage:3, alive, 1560 days
1050.4
DO23510
80 years, female, NA, stage:2, alive, 870 days
1047.4
DO23542
66 years, male, NA, stage:3, alive, 960 days
1045.7
DO23526
66 years, male, NA, stage:3, alive, 1050 days
1042.5
DO45119
74 years, male, NA, stage:3, dead, 510 days
1038.5
DO23508
79 years, female, NA, stage:2, alive, 390 days
1037.4
DO45179
78 years, female, NA, stage:2, alive, 600 days
1036.7
DO48741
64 years, male, NA, stage:3, alive, 240 days
1036.4
DO45201
49 years, male, NA, stage:1, alive, 900 days
1027.8
DO50822
66 years, male, NA, stage:2, alive, 510 days
1027.0
DO23523
52 years, male, NA, stage:3, alive, 1080 days
1011.0
DO45155
69 years, male, NA, stage:2, alive, 2160 days
1009.5
DO45227
57 years, female, NA, stage:2, alive, 1020 days
1005.4
DO48700
78 years, female, NA, stage:2, alive, 810 days
1003.7
DO45117
73 years, female, NA, stage:2, dead, 1110 days
998.1
DO45163
76 years, male, NA, stage:2, alive, 960 days
983.0
DO45092
62 years, male, NA, stage:4, dead, 1200 days
975.2
DO45261
74 years, male, NA, stage:3, alive, 990 days
958.3
DO45171
56 years, male, NA, stage:3, alive, 600 days
941.8
DO45143
69 years, male, NA, stage:3, alive, 1290 days
940.0
DO45275
65 years, male, NA, stage:3, dead, 10 days
931.9
DO45241
49 years, male, NA, stage:1, alive, 1080 days
915.7
DO48712
50 years, male, NA, stage:2, alive, 810 days
912.4
DO48728
74 years, female, NA, stage:2, alive, 150 days
909.2
DO45223
67 years, male, NA, stage:4, alive, 1020 days
906.1
DO23528
45 years, female, NA, stage:2, alive, 1020 days
899.9
DO48733
72 years, male, NA, stage:2, alive, 600 days
893.2
DO23547
74 years, male, NA, stage:1, alive, 1020 days
890.6
DO45211
76 years, male, NA, stage:3, alive, 240 days
877.0
DO23549
74 years, male, NA, stage:3, alive, 990 days
872.9
DO23524
71 years, female, NA, stage:2, alive, 1050 days
871.2
DO45187
32 years, female, NA, stage:1, alive, 1260 days
865.5
DO23514
64 years, male, NA, stage:2, alive, 1290 days
860.0
DO48715
58 years, female, NA, stage:2, dead, 690 days
855.5
DO50800
74 years, male, NA, stage:2, alive, 510 days
849.4
DO23546
63 years, male, NA, stage:2, alive, 1050 days
846.6
DO45183
72 years, female, NA, stage:2, dead, 570 days
843.1
DO45131
53 years, male, NA, stage:4, dead, 360 days
840.0
DO23540
73 years, male, NA, stage:1, alive, 750 days
836.8
DO50829
78 years, male, NA, stage:3, alive, 570 days
832.9
DO48759
73 years, male, NA, stage:3, alive, 720 days
819.9
DO48736
76 years, female, NA, stage:1, alive, 600 days
819.2
DO45169
74 years, male, NA, stage:3, alive, 1350 days
816.5
DO50805
72 years, male, NA, stage:2, alive, 690 days
813.4
DO45199
86 years, female, NA, stage:2, alive, 1350 days
811.1
DO50783
62 years, male, NA, stage:3, alive, 480 days
796.7
DO50816
63 years, male, NA, stage:2, alive, 390 days
796.3
DO45115
81 years, male, NA, stage:2, alive, 840 days
782.2
DO50845
72 years, male, NA, stage:3, alive, 210 days
776.6
DO45153
77 years, female, NA, stage:2, alive, 1380 days
770.3
DO23543
63 years, male, NA, stage:2, alive, 1020 days
769.7
DO48717
54 years, male, NA, stage:4, dead, 180 days
766.4
DO48725
66 years, male, NA, stage:1, alive, 780 days
758.7
DO45233
83 years, male, NA, stage:3, alive, 900 days
757.9
DO23548
78 years, female, NA, stage:1, alive, 840 days
751.0
DO45181
84 years, female, NA, stage:2, alive, 1200 days
750.6
DO48719
80 years, male, NA, stage:2, alive, 690 days
748.0
DO48693
71 years, male, NA, stage:2, alive, 900 days
744.9
DO23511
83 years, female, NA, stage:3, dead, 180 days
738.8
DO50804
81 years, male, NA, stage:2, alive, 720 days
729.0
DO50774
68 years, female, NA, stage:2, alive, 720 days
728.9
DO45159
65 years, male, NA, stage:3, alive, 1470 days
726.3
DO48746
76 years, male, NA, stage:3, alive, 570 days
712.2
DO45263
67 years, male, NA, stage:3, dead, 270 days
709.1
DO23534
60 years, male, NA, stage:2, alive, 840 days
708.8
DO50813
56 years, male, NA, stage:2, alive, 420 days
699.7
DO23518
67 years, male, NA, stage:2, alive, 1320 days
696.5
DO50850
74 years, male, NA, stage:3, alive, 720 days
695.8
DO50776
75 years, male, NA, stage:1, alive, 690 days
691.2
DO23529
72 years, male, NA, stage:4, alive, 930 days
687.5
DO23539
77 years, male, NA, stage:1, alive, 1110 days
686.9
DO23538
67 years, male, NA, stage:2, alive, 450 days
680.5
DO23513
76 years, male, NA, stage:3, alive, 1200 days
672.9
DO50819
72 years, female, NA, stage:2, alive, 510 days
671.1
DO45123
78 years, female, NA, stage:2, dead, 570 days
669.7
DO45229
74 years, male, NA, stage:1, alive, 990 days
667.4
DO50820
77 years, female, NA, stage:3, alive, 510 days
666.5
DO45177
81 years, female, NA, stage:3, alive, 1260 days
664.3
DO45207
68 years, male, NA, stage:1, alive, 1050 days
664.2
DO48695
77 years, male, NA, stage:2, alive, 720 days
662.0
DO50807
67 years, male, NA, stage:1, alive, 540 days
660.8
DO45096
69 years, male, NA, stage:2, dead, 1290 days
657.9
DO227801
77 years, female, NA, stage:1, alive, 660 days
650.8
DO45099
46 years, male, NA, stage:3, alive, 1590 days
649.7
DO45109
63 years, male, NA, stage:2, alive, 1590 days
643.0
DO50817
75 years, male, NA, stage:2, alive, 390 days
628.2
DO50839
47 years, female, NA, stage:3, alive, 330 days
627.9
DO23541
65 years, male, NA, stage:2, alive, 930 days
610.8
DO45235
68 years, female, NA, stage:1, alive, 900 days
608.8
DO45125
58 years, male, NA, stage:3, alive, 1680 days
596.1
DO227643
79 years, male, NA, stage:2, alive, 1260 days
594.5
DO50787
63 years, male, NA, stage:3, alive, 480 days
592.7
DO48743
69 years, female, NA, stage:2, alive, 570 days
589.6
DO50798
77 years, male, NA, stage:3, dead, 30 days
587.2
DO45255
81 years, male, NA, stage:3, alive, 720 days
584.2
DO45197
51 years, male, NA, stage:2, alive, 1170 days
576.0
DO45245
75 years, female, NA, stage:2, dead, 240 days
575.1
DO48704
68 years, female, NA, stage:3, alive, 750 days
570.8
DO23527
72 years, male, NA, stage:1, alive, 1050 days
568.3
DO50818
65 years, male, NA, stage:2, alive, 510 days
567.2
DO50857
72 years, male, NA, stage:2, alive, 210 days
565.2
DO23544
67 years, male, NA, stage:2, alive, 960 days
565.2
DO23531
78 years, female, NA, stage:3, alive, 900 days
564.8
DO45101
63 years, male, NA, stage:2, alive, 1680 days
561.5
DO45137
38 years, male, NA, stage:1, alive, 1320 days
560.1
DO50808
68 years, male, NA, stage:2, alive, 570 days
558.6
DO50832
73 years, male, NA, stage:3, alive, 90 days
557.4
DO45121
61 years, male, NA, stage:3, alive, 1530 days
556.0
DO50840
49 years, male, NA, stage:2, alive, 330 days
546.8
DO23517
62 years, male, NA, stage:2, alive, 1200 days
540.9
DO45133
64 years, male, NA, stage:3, dead, 660 days
533.5
DO48761
55 years, male, NA, stage:2, alive, 870 days
528.5
DO45215
65 years, male, NA, stage:2, alive, 1170 days
524.2
DO48742
76 years, male, NA, stage:2, alive, 600 days
519.0
DO48716
71 years, male, NA, stage:2, alive, 720 days
516.5
DO23535
67 years, male, NA, stage:1, alive, 960 days
503.4
DO45129
61 years, male, NA, stage:3, alive, 1470 days
501.1
DO48679
72 years, male, NA, stage:2, alive, 1200 days
483.2
DO45094
76 years, male, NA, stage:3, alive, 1650 days
479.6
DO48701
78 years, male, NA, stage:2, alive, 780 days
476.8
DO23551
73 years, male, NA, stage:3, dead, 150 days
476.8
DO50803
62 years, female, NA, stage:1, alive, 540 days
476.6
DO48674
80 years, male, NA, stage:2, alive, 1260 days
466.4
DO23532
71 years, female, NA, stage:1, alive, 960 days
445.1
DO23552
80 years, female, NA, stage:1, alive, 810 days
439.4
DO48760
70 years, female, NA, stage:2, alive, 690 days
439.1
DO23550
69 years, male, NA, stage:1, alive, 990 days
435.4
DO45195
62 years, male, NA, stage:1, alive, 390 days
429.9
DO23512
60 years, male, NA, stage:1, alive, 1260 days
428.3
DO45111
74 years, male, NA, stage:2, alive, 1590 days
398.9
DO48721
58 years, female, NA, stage:1, alive, 900 days
397.5
DO45105
61 years, male, NA, stage:1, alive, 1680 days
396.0
DO50789
73 years, female, NA, stage:2, alive, 570 days
358.0
DO45167
67 years, male, NA, stage:2, dead, 1440 days
334.4
DO23509
60 years, male, NA, stage:3, dead, 780 days
303.4
DO45107
63 years, female, NA, stage:2, alive, 1710 days
275.9
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
537
Tumor
0.6
557
Tumor
0.5
1021
Tumor
0.5
327
Tumor
0.4
1027
Tumor
0.4
965
Tumor
0.4
685
Tumor
0.3
1025
Tumor
0.3
131
Tumor
0.3
545
Tumor
0.3
523
Tumor
0.3
285
Tumor
0.3
223
Tumor
0.3
527
Tumor
0.3
567
Tumor
0.3
937
Tumor
0.3
554
Normal
0.3
497
Tumor
0.3
815
Tumor
0.2
865
Tumor
0.2
535
Tumor
0.2
533
Tumor
0.2
367
Tumor
0.2
481
Tumor
0.2
524
Normal
0.2
1026
Normal
0.2
1031
Tumor
0.2
983
Tumor
0.2
1041
Tumor
0.2
661
Tumor
0.2
227
Tumor
0.2
395
Tumor
0.2
517
Tumor
0.2
981
Tumor
0.2
473
Tumor
0.2
518
Normal
0.2
957
Tumor
0.2
412
Normal
0.2
448
Normal
0.2
922
Normal
0.2
553
Tumor
0.2
918
Normal
0.2
955
Tumor
0.2
851
Tumor
0.2
515
Tumor
0.1
474
Normal
0.1
135
Tumor
0.1
696
Normal
0.1
525
Tumor
0.1
1028
Normal
0.1
393
Tumor
0.1
484
Normal
0.1
966
Normal
0.1
777
Tumor
0.1
923
Tumor
0.1
1044
Normal
0.1
926
Normal
0.1
967
Tumor
0.1
493
Tumor
0.1
516
Normal
0.1
212
Normal
0.1
817
Tumor
0.1
526
Normal
0.1
697
Tumor
0.1
483
Tumor
0.1
356
Normal
0.1
944
Normal
0.1
546
Normal
0.1
492
Normal
0.1
951
Tumor
0.1
534
Normal
0.1
1043
Tumor
0.1
514
Normal
0.1
472
Normal
0.1
968
Normal
0.1
982
Normal
0.1
528
Normal
0.1
355
Tumor
0.1
924
Normal
0.1
737
Tumor
0.1
984
Normal
0.1
715
Tumor
0.1
861
Tumor
0.1
471
Tumor
0.1
1016
Normal
0.1
617
Tumor
0.1
513
Tumor
0.1
538
Normal
0.1
536
Normal
0.1
328
Normal
0.1
727
Tumor
0.1
778
Normal
0.1
952
Normal
0.1
228
Normal
0.1
113
Tumor
0.1
284
Normal
0.1
1046
Normal
0.1
978
Normal
0.1
823
Tumor
0.1
257
Tumor
0.1
267
Tumor
0.1
916
Normal
0.1
494
Normal
0.1
743
Tumor
0.1
482
Normal
0.1
478
Normal
0.1
943
Tumor
0.0
938
Normal
0.0
416
Normal
0.0
286
Normal
0.0
915
Tumor
0.0
1015
Tumor
0.0
728
Normal
0.0
364
Normal
0.0
963
Tumor
0.0
147
Tumor
0.0
698
Normal
0.0
756
Normal
0.0
925
Tumor
0.0
864
Normal
0.0
387
Tumor
0.0
558
Normal
0.0
1014
Normal
0.0
713
Tumor
0.0
137
Tumor
0.0
211
Tumor
0.0
224
Normal
0.0
385
Tumor
0.0
415
Tumor
0.0
975
Tumor
0.0
363
Tumor
0.0
462
Normal
0.0
878
Normal
0.0
467
Tumor
0.0
1032
Normal
0.0
353
Tumor
0.0
755
Tumor
0.0
443
Tumor
0.0
488
Normal
0.0
738
Normal
0.0
411
Tumor
0.0
636
Normal
0.0
745
Tumor
0.0
877
Tumor
0.0
956
Normal
0.0
873
Tumor
0.0
785
Tumor
0.0
1022
Normal
0.0
455
Tumor
0.0
964
Normal
0.0
866
Normal
0.0
912
Normal
0.0
954
Normal
0.0
261
Tumor
0.0
447
Tumor
0.0
882
Normal
0.0
425
Tumor
0.0
142
Normal
0.0
351
Tumor
0.0
913
Tumor
0.0
572
Normal
0.0
917
Tumor
0.0
331
Tumor
0.0
413
Tumor
0.0
862
Normal
0.0
477
Tumor
0.0
1042
Normal
0.0
953
Tumor
0.0
232
Normal
0.0
231
Tumor
-0.1
375
Tumor
-0.1
487
Tumor
-0.1
921
Tumor
-0.1
724
Normal
-0.1
824
Normal
-0.1
714
Normal
-0.1
128
Normal
-0.1
746
Normal
-0.1
466
Normal
-0.1
816
Normal
-0.1
461
Tumor
-0.1
857
Tumor
-0.1
283
Tumor
-0.1
867
Tumor
-0.1
421
Tumor
-0.1
123
Tumor
-0.1
874
Normal
-0.1
883
Tumor
-0.1
976
Normal
-0.1
786
Normal
-0.1
145
Tumor
-0.1
958
Normal
-0.1
628
Normal
-0.1
695
Tumor
-0.1
1013
Tumor
-0.1
427
Tumor
-0.1
722
Normal
-0.1
342
Normal
-0.1
271
Tumor
-0.1
852
Normal
-0.1
332
Normal
-0.1
858
Normal
-0.1
376
Normal
-0.1
881
Tumor
-0.1
744
Normal
-0.1
686
Normal
-0.1
721
Tumor
-0.1
616
Normal
-0.1
277
Tumor
-0.1
742
Normal
-0.1
314
Normal
-0.1
136
Normal
-0.1
171
Tumor
-0.1
187
Tumor
-0.1
433
Tumor
-0.1
278
Normal
-0.1
185
Tumor
-0.1
977
Tumor
-0.1
451
Tumor
-0.1
258
Normal
-0.1
344
Normal
-0.1
723
Tumor
-0.1
172
Normal
-0.1
368
Normal
-0.1
568
Normal
-0.2
564
Normal
-0.2
124
Normal
-0.2
491
Tumor
-0.2
426
Normal
-0.2
214
Normal
-0.2
431
Tumor
-0.2
111
Normal
-0.2
1045
Tumor
-0.2
573
Tumor
-0.2
312
Normal
-0.2
914
Normal
-0.2
716
Normal
-0.2
272
Normal
-0.2
297
Tumor
-0.2
196
Normal
-0.2
343
Tumor
-0.2
911
Tumor
-0.2
434
Normal
-0.2
424
Normal
-0.2
298
Normal
-0.2
357
Tumor
-0.2
352
Normal
-0.2
186
Normal
-0.2
436
Normal
-0.2
813
Tumor
-0.2
884
Normal
-0.2
141
Tumor
-0.2
452
Normal
-0.2
358
Normal
-0.2
341
Tumor
-0.2
191
Tumor
-0.2
114
Normal
-0.2
161
Tumor
-0.2
571
Tumor
-0.2
414
Normal
-0.2
422
Normal
-0.2
262
Normal
-0.2
498
Normal
-0.2
162
Normal
-0.2
618
Normal
-0.2
313
Tumor
-0.2
635
Tumor
-0.2
384
Normal
-0.2
213
Tumor
-0.2
362
Normal
-0.2
311
Tumor
-0.2
814
Normal
-0.2
445
Tumor
-0.2
664
Normal
-0.2
465
Tumor
-0.2
868
Normal
-0.2
647
Tumor
-0.3
195
Tumor
-0.3
662
Normal
-0.3
138
Normal
-0.3
132
Normal
-0.3
112
Tumor
-0.3
563
Tumor
-0.3
392
Normal
-0.3
464
Normal
-0.3
218
Normal
-0.3
268
Normal
-0.3
221
Tumor
-0.3
428
Normal
-0.3
148
Normal
-0.3
574
Normal
-0.3
435
Tumor
-0.3
648
Normal
-0.3
127
Tumor
-0.3
818
Normal
-0.3
671
Tumor
-0.3
468
Normal
-0.3
463
Tumor
-0.3
146
Normal
-0.3
366
Normal
-0.3
663
Tumor
-0.3
863
Tumor
-0.3
222
Normal
-0.3
665
Tumor
-0.3
642
Normal
-0.3
365
Tumor
-0.3
666
Normal
-0.3
354
Normal
-0.3
125
Tumor
-0.3
217
Tumor
-0.3
126
Normal
-0.3
423
Tumor
-0.3
741
Tumor
-0.4
394
Normal
-0.4
361
Tumor
-0.4
432
Normal
-0.4
456
Normal
-0.4
446
Normal
-0.4
188
Normal
-0.4
615
Tumor
-0.4
388
Normal
-0.4
391
Tumor
-0.4
672
Normal
-0.4
386
Normal
-0.4
396
Normal
-0.5
444
Normal
-0.5
627
Tumor
-0.5
383
Tumor
-0.5
641
Tumor
-0.5
192
Normal
-0.5
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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.