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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.
ATP5MF 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
756.7
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
4431.8
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
2391.9
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
1940.1
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
1828.7
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
1711.2
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
1709.1
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
1682.6
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
1656.9
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
1653.3
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
1530.5
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
1529.9
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
1512.9
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
1490.8
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
1481.4
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
1461.0
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
1456.3
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1454.2
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
1438.2
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
1432.2
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
1394.7
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
1337.2
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
1295.7
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
1289.8
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
1283.4
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
1278.8
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
1269.1
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1250.4
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
1241.9
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
1225.8
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
1206.2
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
1191.1
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
1189.5
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
1187.6
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
1186.2
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1179.4
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
1174.9
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
1166.7
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
1158.6
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
1156.3
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
1140.3
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
1116.2
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
1104.4
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
1089.1
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
1087.8
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
1086.5
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
1085.9
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
1084.6
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1068.0
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
1064.4
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
1064.2
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
1052.2
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
1050.9
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
1050.6
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
1044.0
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
1043.0
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
1038.9
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
1037.9
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
1034.4
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
1033.9
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
1029.3
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
1025.3
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
1025.2
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
1022.1
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
1018.0
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
1016.8
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
993.4
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
988.7
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
987.5
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
974.1
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
971.6
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
964.7
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
960.4
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
955.1
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
942.9
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
938.7
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
936.9
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
930.5
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
930.3
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
926.4
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
925.8
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
925.7
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
917.7
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
915.1
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
913.5
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
912.1
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
909.8
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
909.2
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
898.8
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
896.7
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
896.2
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
892.1
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
890.9
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
890.8
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
890.1
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
887.3
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
886.4
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
885.3
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
876.1
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
874.8
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
873.7
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
869.6
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
867.6
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
866.8
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
863.1
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
860.1
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
859.3
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
858.8
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
857.8
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
843.7
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
840.9
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
838.6
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
828.9
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
816.2
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
815.4
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
807.0
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
804.1
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
800.5
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
799.5
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
798.7
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
798.0
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
787.4
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
786.4
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
785.9
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
784.9
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
784.1
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
783.2
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
780.7
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
777.4
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
776.6
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
773.9
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
769.1
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
766.9
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
762.7
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
762.4
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
761.4
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
759.8
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
758.0
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
755.4
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
752.7
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
752.0
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
751.9
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
748.4
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
748.4
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
748.0
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
745.8
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
745.4
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
745.4
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
743.8
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
742.8
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
742.3
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
740.9
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
737.1
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
722.5
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
719.9
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
717.9
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
717.9
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
717.6
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
717.2
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
717.0
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
708.7
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
705.1
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
699.1
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
696.8
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
695.1
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
693.1
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
692.2
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
690.5
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
690.1
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
689.2
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
688.9
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
688.7
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
688.0
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
685.4
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
681.9
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
679.6
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
677.9
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
677.2
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
676.6
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
674.9
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
674.6
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
672.5
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
671.4
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
666.7
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
665.6
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
664.4
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
664.0
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
663.4
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
660.6
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
658.5
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
657.1
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
654.6
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
651.9
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
649.5
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
648.5
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
647.2
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
645.3
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
645.3
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
645.0
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
642.7
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
642.4
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
641.7
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
638.0
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
637.9
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
637.6
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
637.2
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
633.7
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
633.2
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
630.9
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
625.4
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
623.9
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
622.3
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
622.3
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
621.7
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
621.1
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
620.9
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
620.6
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
620.3
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
614.6
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
612.8
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
609.5
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
607.8
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
607.5
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
606.6
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
601.2
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
599.1
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
597.0
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
593.7
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
592.0
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
590.0
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
588.6
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
587.4
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
585.5
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
584.7
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
584.4
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
583.5
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
583.2
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
582.1
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
582.0
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
581.0
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
580.5
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
580.1
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
580.1
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
579.9
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
578.6
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
575.2
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
572.7
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
571.8
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
570.5
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
569.6
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
569.4
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
569.1
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
560.7
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
559.4
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
555.0
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
554.1
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
552.3
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
551.1
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
549.7
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
549.2
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
546.6
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
546.4
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
545.2
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
543.7
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
538.9
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
537.6
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
537.2
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
534.9
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
533.4
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
533.1
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
532.8
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
532.0
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
531.1
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
530.0
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
529.7
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
529.0
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
528.8
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
527.7
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
527.4
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
526.2
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
525.1
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
524.8
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
521.9
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
517.7
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
516.3
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
515.3
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
514.8
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
514.1
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
513.3
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
512.5
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
510.4
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
509.1
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
508.8
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
507.2
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
507.1
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
504.7
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
504.5
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
501.4
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
499.4
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
497.1
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
496.7
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
496.3
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
494.2
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
493.4
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
493.2
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
490.0
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
486.7
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
475.3
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
474.8
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
474.5
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
472.7
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
471.8
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
468.6
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
468.0
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
467.2
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
465.1
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
462.9
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
462.8
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
455.2
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
450.7
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
450.4
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
448.8
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
448.4
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
445.3
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
444.9
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
442.3
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
440.1
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
439.6
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
434.7
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
433.2
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
430.9
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
424.6
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
418.5
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
417.8
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
415.0
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
414.4
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
414.0
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
412.9
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
412.9
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
410.7
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
408.6
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
407.8
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
404.6
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
397.9
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
385.9
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
383.9
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
380.6
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
376.1
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
375.2
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
372.7
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
362.5
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
352.4
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
343.8
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
331.2
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
330.8
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
324.7
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
321.0
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
317.8
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
317.6
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
263.4
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
255.9
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
249.7
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 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.
Survival analysis data not available.
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
627
Tumor
1.6
571
Tumor
0.9
132
Normal
0.9
172
Normal
0.9
358
Normal
0.9
278
Normal
0.9
128
Normal
0.9
314
Normal
0.8
388
Normal
0.8
344
Normal
0.8
426
Normal
0.8
436
Normal
0.8
428
Normal
0.8
258
Normal
0.8
394
Normal
0.8
342
Normal
0.8
138
Normal
0.8
114
Normal
0.8
111
Normal
0.8
452
Normal
0.8
446
Normal
0.8
424
Normal
0.7
162
Normal
0.7
136
Normal
0.7
618
Normal
0.7
332
Normal
0.7
354
Normal
0.7
222
Normal
0.7
423
Tumor
0.7
432
Normal
0.7
186
Normal
0.7
298
Normal
0.7
414
Normal
0.7
636
Normal
0.7
615
Tumor
0.7
232
Normal
0.7
824
Normal
0.7
376
Normal
0.7
148
Normal
0.7
361
Tumor
0.7
818
Normal
0.6
422
Normal
0.6
392
Normal
0.6
564
Normal
0.6
396
Normal
0.6
648
Normal
0.6
568
Normal
0.6
786
Normal
0.6
366
Normal
0.6
196
Normal
0.5
746
Normal
0.5
464
Normal
0.5
912
Normal
0.5
745
Tumor
0.5
642
Normal
0.5
126
Normal
0.5
227
Tumor
0.5
352
Normal
0.5
386
Normal
0.5
146
Normal
0.5
882
Normal
0.5
272
Normal
0.5
218
Normal
0.5
368
Normal
0.5
664
Normal
0.5
723
Tumor
0.5
1045
Tumor
0.5
616
Normal
0.5
365
Tumor
0.5
722
Normal
0.5
312
Normal
0.5
456
Normal
0.5
113
Tumor
0.5
738
Normal
0.4
742
Normal
0.4
914
Normal
0.4
628
Normal
0.4
666
Normal
0.4
862
Normal
0.4
462
Normal
0.4
362
Normal
0.4
214
Normal
0.4
635
Tumor
0.4
393
Tumor
0.4
286
Normal
0.4
1046
Normal
0.4
444
Normal
0.4
468
Normal
0.4
145
Tumor
0.4
353
Tumor
0.4
262
Normal
0.4
672
Normal
0.4
572
Normal
0.4
466
Normal
0.4
662
Normal
0.4
574
Normal
0.4
756
Normal
0.4
866
Normal
0.3
744
Normal
0.3
864
Normal
0.3
448
Normal
0.3
858
Normal
0.3
816
Normal
0.3
356
Normal
0.3
142
Normal
0.3
1032
Normal
0.3
127
Tumor
0.3
228
Normal
0.3
465
Tumor
0.3
124
Normal
0.3
878
Normal
0.3
868
Normal
0.3
434
Normal
0.3
741
Tumor
0.3
1022
Normal
0.3
137
Tumor
0.3
1026
Normal
0.3
482
Normal
0.3
341
Tumor
0.2
728
Normal
0.2
188
Normal
0.2
874
Normal
0.2
1027
Tumor
0.2
714
Normal
0.2
411
Tumor
0.2
884
Normal
0.2
1043
Tumor
0.2
231
Tumor
0.2
698
Normal
0.2
384
Normal
0.2
443
Tumor
0.2
257
Tumor
0.2
713
Tumor
0.2
1042
Normal
0.2
433
Tumor
0.2
284
Normal
0.2
852
Normal
0.2
528
Normal
0.1
1028
Normal
0.1
261
Tumor
0.1
461
Tumor
0.1
451
Tumor
0.1
472
Normal
0.1
268
Normal
0.1
161
Tumor
0.1
558
Normal
0.1
112
Tumor
0.1
416
Normal
0.1
982
Normal
0.1
357
Tumor
0.1
911
Tumor
0.1
328
Normal
0.1
534
Normal
0.1
563
Tumor
0.1
1044
Normal
0.1
135
Tumor
0.1
778
Normal
0.1
867
Tumor
0.1
1016
Normal
0.1
686
Normal
0.0
224
Normal
0.0
716
Normal
0.0
195
Tumor
0.0
721
Tumor
0.0
171
Tumor
0.0
217
Tumor
0.0
125
Tumor
0.0
421
Tumor
0.0
427
Tumor
0.0
515
Tumor
0.0
567
Tumor
0.0
526
Normal
0.0
617
Tumor
0.0
785
Tumor
0.0
863
Tumor
0.0
387
Tumor
0.0
187
Tumor
0.0
192
Normal
0.0
271
Tumor
0.0
327
Tumor
0.0
267
Tumor
0.0
755
Tumor
0.0
557
Tumor
0.0
221
Tumor
0.0
1025
Tumor
-0.1
191
Tumor
-0.1
1014
Normal
-0.1
873
Tumor
-0.1
823
Tumor
-0.1
984
Normal
-0.1
313
Tumor
-0.1
641
Tumor
-0.1
364
Normal
-0.1
141
Tumor
-0.1
514
Normal
-0.1
481
Tumor
-0.1
425
Tumor
-0.1
922
Normal
-0.1
383
Tumor
-0.1
297
Tumor
-0.1
412
Normal
-0.1
431
Tumor
-0.1
978
Normal
-0.1
513
Tumor
-0.1
212
Normal
-0.1
488
Normal
-0.1
924
Normal
-0.1
223
Tumor
-0.1
696
Normal
-0.1
777
Tumor
-0.1
573
Tumor
-0.1
964
Normal
-0.2
474
Normal
-0.2
213
Tumor
-0.2
976
Normal
-0.2
413
Tumor
-0.2
727
Tumor
-0.2
695
Tumor
-0.2
851
Tumor
-0.2
815
Tumor
-0.2
1041
Tumor
-0.2
813
Tumor
-0.2
391
Tumor
-0.2
351
Tumor
-0.2
814
Normal
-0.2
938
Normal
-0.2
981
Tumor
-0.2
926
Normal
-0.2
185
Tumor
-0.2
743
Tumor
-0.2
883
Tumor
-0.2
435
Tumor
-0.2
968
Normal
-0.2
918
Normal
-0.2
954
Normal
-0.2
147
Tumor
-0.2
925
Tumor
-0.2
944
Normal
-0.2
494
Normal
-0.3
445
Tumor
-0.3
518
Normal
-0.3
956
Normal
-0.3
663
Tumor
-0.3
467
Tumor
-0.3
955
Tumor
-0.3
363
Tumor
-0.3
857
Tumor
-0.3
952
Normal
-0.3
647
Tumor
-0.3
915
Tumor
-0.3
517
Tumor
-0.3
913
Tumor
-0.3
923
Tumor
-0.3
455
Tumor
-0.3
487
Tumor
-0.3
367
Tumor
-0.4
1031
Tumor
-0.4
484
Normal
-0.4
916
Normal
-0.4
665
Tumor
-0.4
966
Normal
-0.4
123
Tumor
-0.4
737
Tumor
-0.4
463
Tumor
-0.4
385
Tumor
-0.4
277
Tumor
-0.4
546
Normal
-0.4
881
Tumor
-0.4
343
Tumor
-0.4
1021
Tumor
-0.4
671
Tumor
-0.5
375
Tumor
-0.5
478
Normal
-0.5
331
Tumor
-0.5
967
Tumor
-0.5
447
Tumor
-0.5
921
Tumor
-0.5
395
Tumor
-0.5
538
Normal
-0.5
953
Tumor
-0.5
958
Normal
-0.5
516
Normal
-0.5
491
Tumor
-0.5
861
Tumor
-0.5
311
Tumor
-0.5
877
Tumor
-0.5
415
Tumor
-0.6
498
Normal
-0.6
715
Tumor
-0.6
1013
Tumor
-0.6
524
Normal
-0.6
1015
Tumor
-0.6
685
Tumor
-0.7
285
Tumor
-0.7
554
Normal
-0.7
483
Tumor
-0.7
661
Tumor
-0.7
527
Tumor
-0.8
697
Tumor
-0.8
477
Tumor
-0.8
724
Normal
-0.8
817
Tumor
-0.8
983
Tumor
-0.8
525
Tumor
-0.8
917
Tumor
-0.8
865
Tumor
-0.8
975
Tumor
-0.8
536
Normal
-0.9
492
Normal
-0.9
937
Tumor
-0.9
537
Tumor
-0.9
977
Tumor
-0.9
523
Tumor
-1.0
553
Tumor
-1.0
951
Tumor
-1.0
943
Tumor
-1.0
283
Tumor
-1.1
355
Tumor
-1.1
493
Tumor
-1.1
131
Tumor
-1.2
497
Tumor
-1.2
957
Tumor
-1.2
471
Tumor
-1.2
211
Tumor
-1.2
963
Tumor
-1.3
533
Tumor
-1.3
535
Tumor
-1.3
473
Tumor
-1.3
545
Tumor
-1.6
965
Tumor
-1.7
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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.