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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.
PTMA 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
717.0
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
2684.0
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
2603.0
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
2164.8
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
2034.0
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
1966.1
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
1812.9
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
1803.9
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
1689.6
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
1679.8
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
1651.5
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
1517.8
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
1510.6
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
1510.0
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
1480.0
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
1463.9
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
1445.3
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
1395.5
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
1379.4
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
1374.0
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
1371.1
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
1353.9
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
1334.1
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
1330.0
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
1307.1
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1281.9
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
1273.1
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
1266.2
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
1252.8
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
1249.3
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
1245.0
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
1243.4
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
1242.6
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
1227.9
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
1193.7
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
1181.8
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
1166.2
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
1159.3
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
1154.3
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
1142.3
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
1137.3
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
1111.8
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
1094.6
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
1093.8
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
1093.4
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
1084.2
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
1077.9
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
1074.9
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1074.4
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
1063.0
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
1062.5
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
1050.4
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
1047.1
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
1032.7
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
1023.7
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
1018.6
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
1017.3
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
1009.3
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
999.6
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
994.2
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
992.1
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
984.4
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
983.3
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
979.3
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
975.6
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
974.5
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
969.4
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
961.6
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
958.8
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
957.7
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
952.8
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
945.6
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
944.7
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
942.7
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
936.7
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
935.5
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
927.9
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
925.0
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
923.3
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
921.8
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
916.4
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
912.8
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
911.8
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
890.5
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
886.7
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
884.0
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
883.7
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
877.2
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
875.3
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
871.9
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
868.2
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
867.6
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
854.9
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
853.8
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
850.3
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
846.7
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
846.2
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
845.7
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
844.2
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
841.5
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
840.2
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
824.1
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
823.0
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
822.4
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
822.0
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
820.6
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
814.7
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
812.6
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
807.3
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
806.8
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
805.5
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
800.2
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
795.9
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
794.7
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
792.5
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
792.0
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
790.9
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
789.0
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
787.0
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
785.3
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
784.2
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
780.3
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
775.9
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
768.7
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
767.0
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
765.5
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
761.4
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
759.7
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
755.5
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
755.4
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
754.4
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
747.1
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
745.4
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
742.0
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
737.8
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
731.4
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
730.7
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
726.2
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
719.1
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
716.2
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
715.2
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
710.5
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
707.6
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
704.5
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
703.7
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
702.3
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
699.6
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
699.0
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
697.0
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
688.1
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
687.5
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
686.1
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
684.2
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
683.1
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
673.0
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
670.4
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
669.7
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
666.4
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
665.9
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
656.5
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
655.6
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
653.8
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
652.8
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
652.3
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
652.1
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
651.4
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
650.4
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
650.2
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
649.0
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
645.9
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
644.4
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
643.5
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
642.5
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
640.1
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
639.6
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
639.4
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
638.0
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
636.4
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
635.9
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
632.2
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
627.9
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
626.3
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
624.1
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
623.0
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
622.3
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
622.1
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
619.0
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
617.1
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
615.7
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
615.6
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
613.5
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
613.2
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
607.3
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
599.1
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
598.6
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
596.0
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
595.6
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
595.6
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
594.6
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
593.1
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
591.6
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
591.0
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
590.6
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
590.3
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
584.8
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
583.6
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
582.5
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
581.7
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
580.7
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
576.8
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
575.6
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
574.1
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
572.1
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
571.6
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
567.8
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
567.1
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
565.3
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
565.2
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
563.1
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
562.5
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
561.3
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
557.7
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
555.6
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
555.1
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
553.2
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
551.5
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
550.7
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
548.3
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
548.0
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
543.4
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
543.3
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
540.1
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
539.9
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
538.6
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
538.3
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
538.1
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
537.2
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
536.5
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
535.9
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
535.0
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
534.3
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
533.5
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
532.6
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
531.4
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
530.6
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
529.1
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
528.9
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
524.8
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
523.9
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
517.8
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
514.3
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
512.5
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
511.3
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
509.2
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
507.4
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
503.8
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
503.6
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
502.0
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
500.0
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
497.2
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
495.2
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
494.8
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
491.6
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
490.8
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
486.6
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
486.5
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
485.8
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
483.5
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
480.3
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
480.1
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
479.1
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
477.2
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
476.6
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
474.6
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
473.3
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
472.6
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
468.8
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
467.2
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
465.9
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
465.7
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
465.7
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
463.3
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
461.6
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
461.4
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
460.5
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
457.3
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
457.1
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
455.3
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
454.0
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
453.1
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
451.4
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
450.1
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
450.0
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
449.2
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
446.1
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
442.7
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
440.5
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
439.0
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
436.0
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
433.3
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
432.5
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
431.1
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
429.0
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
428.9
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
428.2
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
427.2
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
426.5
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
423.8
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
419.2
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
419.1
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
416.5
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
416.5
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
413.9
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
410.9
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
410.7
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
408.2
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
407.8
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
407.4
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
404.9
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
400.8
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
398.1
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
396.0
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
389.9
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
388.3
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
386.7
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
386.2
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
383.9
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
383.5
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
383.4
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
370.5
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
369.8
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
369.1
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
368.8
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
368.1
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
365.5
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
356.9
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
352.4
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
349.0
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
348.0
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
347.9
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
346.4
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
337.2
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
326.5
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
325.3
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
323.9
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
321.4
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
320.9
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
318.0
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
314.1
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
313.1
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
311.5
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
302.1
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
301.7
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
294.3
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
267.0
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
265.7
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
240.5
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
236.6
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
213.1
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
212.3
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
202.0
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
190.8
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 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.
PTMA 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
968.8
Number of samples
231
Samples
Sample
Description
pTPM
DO45301
56 years, male, NA, stage:2, dead, 1440 days
3758.9
DO45287
74 years, male, NA, stage:1, alive, 390 days
3009.3
DO45299
70 years, female, NA, stage:1, alive, 1440 days
2746.9
DO45297
61 years, female, NA, stage:4, dead, 1260 days
2698.2
DO45185
89 years, male, NA, stage:2, alive, 600 days
2362.9
DO45145
78 years, male, NA, stage:3, dead, 60 days
2175.5
DO45283
60 years, male, NA, stage:3, alive, 510 days
2135.7
DO45211
76 years, male, NA, stage:3, alive, 240 days
2123.4
DO23526
66 years, male, NA, stage:3, alive, 1050 days
2055.3
DO45307
54 years, female, NA, stage:4, dead, 240 days
2054.1
DO50778
60 years, male, NA, stage:4, alive, 630 days
2021.5
DO45277
64 years, male, NA, stage:3, alive, 600 days
1953.0
DO45305
66 years, male, NA, stage:4, alive, 300 days
1948.5
DO50829
78 years, male, NA, stage:3, alive, 570 days
1932.5
DO45263
67 years, male, NA, stage:3, dead, 270 days
1909.8
DO45289
78 years, female, NA, stage:3, alive, 360 days
1881.8
DO45205
67 years, female, NA, stage:2, dead, 90 days
1839.8
DO23516
69 years, male, NA, stage:3, dead, 20 days
1813.5
DO23549
74 years, male, NA, stage:3, alive, 990 days
1812.4
DO45279
67 years, male, NA, stage:3, alive, 1290 days
1778.6
DO45127
73 years, male, NA, stage:3, dead, 420 days
1764.6
DO45245
75 years, female, NA, stage:2, dead, 240 days
1759.7
DO45251
57 years, female, NA, stage:2, alive, 900 days
1752.6
DO45209
70 years, male, NA, stage:4, alive, 1350 days
1724.1
DO23519
65 years, male, NA, stage:3, alive, 630 days
1707.0
DO23530
53 years, male, NA, stage:4, dead, 180 days
1690.1
DO45093
71 years, male, NA, stage:2, dead, 720 days
1637.5
DO23521
63 years, male, NA, stage:3, alive, 1110 days
1621.4
DO50791
79 years, female, NA, stage:1, dead, 480 days
1605.5
DO45249
57 years, male, NA, stage:1, alive, 630 days
1579.8
DO23537
79 years, male, NA, stage:2, dead, 900 days
1572.0
DO45225
69 years, male, NA, stage:1, alive, 1050 days
1568.5
DO48720
62 years, female, NA, stage:2, alive, 570 days
1517.0
DO23547
74 years, male, NA, stage:1, alive, 1020 days
1485.3
DO45253
50 years, male, NA, stage:2, alive, 870 days
1473.2
DO48728
74 years, female, NA, stage:2, alive, 150 days
1461.4
DO45269
59 years, male, NA, stage:3, alive, 750 days
1452.9
DO48717
54 years, male, NA, stage:4, dead, 180 days
1435.7
DO45267
73 years, male, NA, stage:3, dead, 570 days
1414.8
DO23543
63 years, male, NA, stage:2, alive, 1020 days
1404.1
DO45275
65 years, male, NA, stage:3, dead, 10 days
1365.2
DO45139
63 years, male, NA, stage:3, alive, 1320 days
1348.6
DO45237
58 years, male, NA, stage:2, alive, 900 days
1315.1
DO48697
64 years, female, NA, stage:2, dead, 810 days
1311.9
DO45273
62 years, male, NA, stage:2, alive, 480 days
1310.4
DO23524
71 years, female, NA, stage:2, alive, 1050 days
1287.8
DO50800
74 years, male, NA, stage:2, alive, 510 days
1274.7
DO45155
69 years, male, NA, stage:2, alive, 2160 days
1271.9
DO45189
85 years, female, NA, stage:2, alive, 1200 days
1248.3
DO45161
74 years, male, NA, stage:2, dead, 540 days
1200.4
DO45235
68 years, female, NA, stage:1, alive, 900 days
1194.1
DO23523
52 years, male, NA, stage:3, alive, 1080 days
1176.6
DO45193
68 years, female, NA, stage:4, dead, 120 days
1174.4
DO23542
66 years, male, NA, stage:3, alive, 960 days
1170.0
DO50811
62 years, male, NA, stage:1, alive, 450 days
1164.3
DO45157
62 years, male, NA, stage:2, alive, 1980 days
1162.2
DO48747
62 years, male, NA, stage:3, alive, 540 days
1156.6
DO23533
61 years, male, NA, stage:2, alive, 900 days
1139.4
DO50857
72 years, male, NA, stage:2, alive, 210 days
1133.0
DO45125
58 years, male, NA, stage:3, alive, 1680 days
1131.4
DO45285
59 years, male, NA, stage:3, alive, 480 days
1127.1
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1127.0
DO23546
63 years, male, NA, stage:2, alive, 1050 days
1124.1
DO50815
62 years, male, NA, stage:3, alive, 150 days
1123.0
DO45243
74 years, female, NA, stage:3, alive, 930 days
1119.4
DO50806
70 years, male, NA, stage:4, alive, 540 days
1118.8
DO48732
73 years, male, NA, stage:3, alive, 630 days
1112.3
DO45303
62 years, female, NA, stage:3, alive, 990 days
1110.1
DO45103
47 years, male, NA, stage:3, alive, 450 days
1107.6
DO45213
58 years, male, NA, stage:1, alive, 1200 days
1106.4
DO45117
73 years, female, NA, stage:2, dead, 1110 days
1104.6
DO48757
68 years, female, NA, stage:3, alive, 480 days
1104.2
DO45207
68 years, male, NA, stage:1, alive, 1050 days
1090.2
DO50799
66 years, female, NA, stage:2, alive, 540 days
1084.7
DO48733
72 years, male, NA, stage:2, alive, 600 days
1073.3
DO50855
47 years, male, NA, stage:2, alive, 570 days
1060.0
DO48737
52 years, male, NA, stage:1, alive, 720 days
1052.6
DO45131
53 years, male, NA, stage:4, dead, 360 days
1043.2
DO45261
74 years, male, NA, stage:3, alive, 990 days
1026.9
DO23513
76 years, male, NA, stage:3, alive, 1200 days
1018.8
DO23515
71 years, male, NA, stage:2, alive, 1230 days
1017.3
DO45281
83 years, male, NA, stage:4, alive, 750 days
1001.7
DO48723
73 years, male, NA, stage:1, alive, 600 days
995.9
DO23509
60 years, male, NA, stage:3, dead, 780 days
987.8
DO23510
80 years, female, NA, stage:2, alive, 870 days
984.0
DO23514
64 years, male, NA, stage:2, alive, 1290 days
982.0
DO45141
73 years, male, NA, stage:2, alive, 1320 days
981.9
DO45092
62 years, male, NA, stage:4, dead, 1200 days
981.6
DO50809
56 years, male, NA, stage:3, dead, 720 days
979.3
DO45241
49 years, male, NA, stage:1, alive, 1080 days
973.3
DO45259
65 years, male, NA, stage:3, alive, 330 days
972.0
DO45137
38 years, male, NA, stage:1, alive, 1320 days
969.2
DO45153
77 years, female, NA, stage:2, alive, 1380 days
954.3
DO50798
77 years, male, NA, stage:3, dead, 30 days
951.8
DO50819
72 years, female, NA, stage:2, alive, 510 days
944.0
DO45091
56 years, male, NA, stage:2, dead, 1320 days
941.4
DO45217
69 years, female, NA, stage:3, dead, 270 days
933.0
DO45095
66 years, male, NA, stage:2, alive, 1620 days
932.4
DO45231
84 years, male, NA, stage:2, alive, 930 days
928.7
DO23539
77 years, male, NA, stage:1, alive, 1110 days
925.3
DO45123
78 years, female, NA, stage:2, dead, 570 days
925.3
DO50802
49 years, male, NA, stage:2, alive, 930 days
917.1
DO48741
64 years, male, NA, stage:3, alive, 240 days
908.1
DO45165
75 years, male, NA, stage:2, alive, 690 days
906.2
DO45135
77 years, male, NA, stage:1, alive, 1410 days
898.4
DO48682
72 years, female, NA, stage:3, dead, 120 days
896.0
DO45099
46 years, male, NA, stage:3, alive, 1590 days
890.8
DO48712
50 years, male, NA, stage:2, alive, 810 days
886.0
DO48730
73 years, female, NA, stage:2, alive, 630 days
885.7
DO45219
78 years, male, NA, stage:2, alive, 1080 days
879.8
DO45121
61 years, male, NA, stage:3, alive, 1530 days
872.0
DO45239
42 years, male, NA, stage:2, alive, 870 days
862.7
DO50825
70 years, male, NA, stage:2, alive, 390 days
861.6
DO45159
65 years, male, NA, stage:3, alive, 1470 days
859.4
DO45257
46 years, male, NA, stage:3, alive, 810 days
850.3
DO50803
62 years, female, NA, stage:1, alive, 540 days
848.1
DO50807
67 years, male, NA, stage:1, alive, 540 days
833.2
DO23512
60 years, male, NA, stage:1, alive, 1260 days
826.9
DO45183
72 years, female, NA, stage:2, dead, 570 days
823.5
DO48700
78 years, female, NA, stage:2, alive, 810 days
819.7
DO23548
78 years, female, NA, stage:1, alive, 840 days
814.6
DO48704
68 years, female, NA, stage:3, alive, 750 days
813.5
DO50805
72 years, male, NA, stage:2, alive, 690 days
811.7
DO45233
83 years, male, NA, stage:3, alive, 900 days
810.3
DO45223
67 years, male, NA, stage:4, alive, 1020 days
808.6
DO48681
57 years, male, NA, stage:2, alive, 900 days
798.6
DO48706
72 years, male, NA, stage:2, alive, 870 days
789.9
DO50844
75 years, male, NA, stage:4, alive, 300 days
783.0
DO45265
73 years, male, NA, stage:3, alive, 1020 days
772.7
DO45097
69 years, male, NA, stage:3, alive, 1620 days
771.9
DO45221
75 years, female, NA, stage:4, dead, 390 days
765.7
DO50817
75 years, male, NA, stage:2, alive, 390 days
755.0
DO23508
79 years, female, NA, stage:2, alive, 390 days
747.8
DO50859
77 years, male, NA, stage:2, alive, 180 days
746.8
DO48736
76 years, female, NA, stage:1, alive, 600 days
742.8
DO23535
67 years, male, NA, stage:1, alive, 960 days
740.2
DO23528
45 years, female, NA, stage:2, alive, 1020 days
720.7
DO23529
72 years, male, NA, stage:4, alive, 930 days
719.2
DO45203
71 years, female, NA, stage:2, alive, 1170 days
716.5
DO23544
67 years, male, NA, stage:2, alive, 960 days
715.9
DO45187
32 years, female, NA, stage:1, alive, 1260 days
711.3
DO45096
69 years, male, NA, stage:2, dead, 1290 days
711.1
DO45143
69 years, male, NA, stage:3, alive, 1290 days
710.8
DO50814
83 years, male, NA, stage:3, alive, 420 days
708.0
DO48715
58 years, female, NA, stage:2, dead, 690 days
703.5
DO50793
76 years, male, NA, stage:4, alive, 540 days
703.0
DO227801
77 years, female, NA, stage:1, alive, 660 days
702.1
DO45247
31 years, female, NA, stage:2, alive, 210 days
691.0
DO45113
58 years, male, NA, stage:3, alive, 1560 days
690.0
DO48746
76 years, male, NA, stage:3, alive, 570 days
689.1
DO45119
74 years, male, NA, stage:3, dead, 510 days
683.5
DO50820
77 years, female, NA, stage:3, alive, 510 days
683.1
DO50776
75 years, male, NA, stage:1, alive, 690 days
682.7
DO50850
74 years, male, NA, stage:3, alive, 720 days
682.2
DO50785
37 years, male, NA, stage:4, dead, 90 days
680.4
DO48725
66 years, male, NA, stage:1, alive, 780 days
676.0
DO45229
74 years, male, NA, stage:1, alive, 990 days
663.8
DO48743
69 years, female, NA, stage:2, alive, 570 days
655.9
DO50840
49 years, male, NA, stage:2, alive, 330 days
653.5
DO48693
71 years, male, NA, stage:2, alive, 900 days
645.2
DO48719
80 years, male, NA, stage:2, alive, 690 days
644.8
DO23536
56 years, male, NA, stage:2, alive, 930 days
644.2
DO23545
67 years, male, NA, stage:2, dead, 570 days
642.6
DO48761
55 years, male, NA, stage:2, alive, 870 days
633.1
DO45215
65 years, male, NA, stage:2, alive, 1170 days
630.3
DO45169
74 years, male, NA, stage:3, alive, 1350 days
628.7
DO50822
66 years, male, NA, stage:2, alive, 510 days
627.6
DO48701
78 years, male, NA, stage:2, alive, 780 days
621.7
DO50832
73 years, male, NA, stage:3, alive, 90 days
620.0
DO50818
65 years, male, NA, stage:2, alive, 510 days
617.5
DO23511
83 years, female, NA, stage:3, dead, 180 days
607.6
DO23541
65 years, male, NA, stage:2, alive, 930 days
606.7
DO50813
56 years, male, NA, stage:2, alive, 420 days
606.7
DO50808
68 years, male, NA, stage:2, alive, 570 days
606.3
DO45177
81 years, female, NA, stage:3, alive, 1260 days
604.8
DO45163
76 years, male, NA, stage:2, alive, 960 days
596.0
DO45255
81 years, male, NA, stage:3, alive, 720 days
592.5
DO45173
63 years, male, NA, stage:3, alive, 1170 days
588.3
DO45101
63 years, male, NA, stage:2, alive, 1680 days
584.2
DO48677
58 years, male, NA, stage:3, alive, 1140 days
582.2
DO48751
68 years, male, NA, stage:2, dead, 480 days
581.4
DO23532
71 years, female, NA, stage:1, alive, 960 days
571.4
DO48759
73 years, male, NA, stage:3, alive, 720 days
567.2
DO48760
70 years, female, NA, stage:2, alive, 690 days
561.8
DO50804
81 years, male, NA, stage:2, alive, 720 days
561.6
DO45181
84 years, female, NA, stage:2, alive, 1200 days
559.8
DO45201
49 years, male, NA, stage:1, alive, 900 days
558.2
DO45199
86 years, female, NA, stage:2, alive, 1350 days
556.1
DO48672
81 years, male, NA, stage:2, alive, 450 days
553.9
DO45179
78 years, female, NA, stage:2, alive, 600 days
551.9
DO23538
67 years, male, NA, stage:2, alive, 450 days
549.1
DO48742
76 years, male, NA, stage:2, alive, 600 days
547.2
DO48727
81 years, female, NA, stage:2, dead, 390 days
546.1
DO45105
61 years, male, NA, stage:1, alive, 1680 days
536.8
DO48716
71 years, male, NA, stage:2, alive, 720 days
536.8
DO23550
69 years, male, NA, stage:1, alive, 990 days
535.9
DO45115
81 years, male, NA, stage:2, alive, 840 days
535.7
DO45109
63 years, male, NA, stage:2, alive, 1590 days
523.2
DO23551
73 years, male, NA, stage:3, dead, 150 days
517.6
DO23534
60 years, male, NA, stage:2, alive, 840 days
516.6
DO50787
63 years, male, NA, stage:3, alive, 480 days
514.9
DO50783
62 years, male, NA, stage:3, alive, 480 days
514.9
DO23518
67 years, male, NA, stage:2, alive, 1320 days
511.4
DO50816
63 years, male, NA, stage:2, alive, 390 days
498.5
DO23540
73 years, male, NA, stage:1, alive, 750 days
488.7
DO23527
72 years, male, NA, stage:1, alive, 1050 days
484.9
DO48679
72 years, male, NA, stage:2, alive, 1200 days
478.3
DO45133
64 years, male, NA, stage:3, dead, 660 days
477.5
DO227643
79 years, male, NA, stage:2, alive, 1260 days
474.6
DO50789
73 years, female, NA, stage:2, alive, 570 days
463.0
DO45197
51 years, male, NA, stage:2, alive, 1170 days
461.2
DO50774
68 years, female, NA, stage:2, alive, 720 days
453.3
DO45227
57 years, female, NA, stage:2, alive, 1020 days
447.5
DO50845
72 years, male, NA, stage:3, alive, 210 days
447.4
DO45195
62 years, male, NA, stage:1, alive, 390 days
432.1
DO23517
62 years, male, NA, stage:2, alive, 1200 days
426.6
DO45171
56 years, male, NA, stage:3, alive, 600 days
426.5
DO23531
78 years, female, NA, stage:3, alive, 900 days
386.5
DO45175
74 years, male, NA, stage:2, alive, 1140 days
386.0
DO48695
77 years, male, NA, stage:2, alive, 720 days
381.9
DO45149
70 years, female, NA, stage:2, alive, 1260 days
361.5
DO45191
61 years, female, NA, stage:2, alive, 1200 days
358.0
DO23552
80 years, female, NA, stage:1, alive, 810 days
347.3
DO45129
61 years, male, NA, stage:3, alive, 1470 days
346.5
DO48674
80 years, male, NA, stage:2, alive, 1260 days
336.8
DO45111
74 years, male, NA, stage:2, alive, 1590 days
336.4
DO45167
67 years, male, NA, stage:2, dead, 1440 days
310.9
DO50839
47 years, female, NA, stage:3, alive, 330 days
310.5
DO45094
76 years, male, NA, stage:3, alive, 1650 days
303.4
DO45107
63 years, female, NA, stage:2, alive, 1710 days
284.1
DO48721
58 years, female, NA, stage:1, alive, 900 days
224.6
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
131
Tumor
1.7
211
Tumor
1.7
497
Tumor
1.6
743
Tumor
1.6
357
Tumor
1.2
355
Tumor
1.2
411
Tumor
1.0
473
Tumor
1.0
1025
Tumor
1.0
814
Normal
1.0
297
Tumor
1.0
957
Tumor
1.0
917
Tumor
0.9
963
Tumor
0.9
567
Tumor
0.9
517
Tumor
0.9
953
Tumor
0.9
823
Tumor
0.8
813
Tumor
0.8
387
Tumor
0.8
545
Tumor
0.8
1013
Tumor
0.8
535
Tumor
0.8
737
Tumor
0.8
427
Tumor
0.8
965
Tumor
0.8
571
Tumor
0.8
1031
Tumor
0.8
311
Tumor
0.8
527
Tumor
0.8
525
Tumor
0.7
425
Tumor
0.7
951
Tumor
0.7
923
Tumor
0.7
431
Tumor
0.7
724
Normal
0.7
351
Tumor
0.7
661
Tumor
0.7
161
Tumor
0.7
447
Tumor
0.7
943
Tumor
0.6
283
Tumor
0.6
697
Tumor
0.6
695
Tumor
0.6
313
Tumor
0.6
483
Tumor
0.6
343
Tumor
0.6
493
Tumor
0.6
227
Tumor
0.6
433
Tumor
0.6
277
Tumor
0.6
727
Tumor
0.6
983
Tumor
0.6
487
Tumor
0.6
967
Tumor
0.6
977
Tumor
0.5
877
Tumor
0.5
533
Tumor
0.5
443
Tumor
0.5
445
Tumor
0.5
663
Tumor
0.5
573
Tumor
0.5
478
Normal
0.5
1021
Tumor
0.5
536
Normal
0.5
863
Tumor
0.5
715
Tumor
0.4
685
Tumor
0.4
455
Tumor
0.4
492
Normal
0.4
463
Tumor
0.4
171
Tumor
0.4
523
Tumor
0.4
465
Tumor
0.4
671
Tumor
0.4
498
Normal
0.4
721
Tumor
0.4
524
Normal
0.4
975
Tumor
0.4
665
Tumor
0.4
647
Tumor
0.4
615
Tumor
0.4
883
Tumor
0.4
423
Tumor
0.4
861
Tumor
0.4
231
Tumor
0.4
213
Tumor
0.4
444
Normal
0.3
285
Tumor
0.3
185
Tumor
0.3
268
Normal
0.3
223
Tumor
0.3
331
Tumor
0.3
413
Tumor
0.3
361
Tumor
0.3
383
Tumor
0.3
557
Tumor
0.3
865
Tumor
0.3
385
Tumor
0.3
1041
Tumor
0.3
435
Tumor
0.3
191
Tumor
0.3
873
Tumor
0.3
415
Tumor
0.3
785
Tumor
0.3
125
Tumor
0.3
563
Tumor
0.3
267
Tumor
0.3
141
Tumor
0.2
881
Tumor
0.2
817
Tumor
0.2
537
Tumor
0.2
635
Tumor
0.2
966
Normal
0.2
421
Tumor
0.2
393
Tumor
0.2
112
Tumor
0.2
741
Tumor
0.2
471
Tumor
0.2
857
Tumor
0.1
461
Tumor
0.1
713
Tumor
0.1
491
Tumor
0.1
978
Normal
0.1
553
Tumor
0.1
217
Tumor
0.1
367
Tumor
0.1
271
Tumor
0.1
958
Normal
0.1
192
Normal
0.1
434
Normal
0.1
672
Normal
0.1
937
Tumor
0.1
516
Normal
0.1
976
Normal
0.1
195
Tumor
0.1
538
Normal
0.1
716
Normal
0.1
1045
Tumor
0.1
777
Tumor
0.0
867
Tumor
0.0
135
Tumor
0.0
515
Tumor
0.0
375
Tumor
0.0
363
Tumor
0.0
916
Normal
0.0
187
Tumor
0.0
212
Normal
0.0
913
Tumor
0.0
481
Tumor
0.0
467
Tumor
0.0
188
Normal
0.0
137
Tumor
0.0
964
Normal
0.0
744
Normal
-0.1
755
Tumor
-0.1
641
Tumor
-0.1
756
Normal
-0.1
488
Normal
-0.1
686
Normal
-0.1
224
Normal
-0.1
146
Normal
-0.1
327
Tumor
-0.1
666
Normal
-0.1
921
Tumor
-0.1
391
Tumor
-0.1
954
Normal
-0.1
341
Tumor
-0.1
696
Normal
-0.1
364
Normal
-0.1
662
Normal
-0.1
664
Normal
-0.1
353
Tumor
-0.1
786
Normal
-0.1
451
Tumor
-0.1
432
Normal
-0.1
261
Tumor
-0.1
714
Normal
-0.1
384
Normal
-0.1
477
Tumor
-0.1
778
Normal
-0.1
484
Normal
-0.2
412
Normal
-0.2
518
Normal
-0.2
344
Normal
-0.2
955
Tumor
-0.2
257
Tumor
-0.2
472
Normal
-0.2
554
Normal
-0.2
1032
Normal
-0.2
944
Normal
-0.2
914
Normal
-0.2
924
Normal
-0.2
746
Normal
-0.2
858
Normal
-0.2
386
Normal
-0.2
1015
Tumor
-0.2
1028
Normal
-0.2
147
Tumor
-0.2
145
Tumor
-0.2
494
Normal
-0.2
648
Normal
-0.2
395
Tumor
-0.2
952
Normal
-0.2
1022
Normal
-0.2
426
Normal
-0.2
546
Normal
-0.2
446
Normal
-0.3
878
Normal
-0.3
1043
Tumor
-0.3
126
Normal
-0.3
284
Normal
-0.3
482
Normal
-0.3
352
Normal
-0.3
968
Normal
-0.3
852
Normal
-0.3
938
Normal
-0.3
262
Normal
-0.3
926
Normal
-0.3
526
Normal
-0.3
514
Normal
-0.3
127
Tumor
-0.3
328
Normal
-0.3
1044
Normal
-0.3
558
Normal
-0.3
362
Normal
-0.3
1042
Normal
-0.3
925
Tumor
-0.3
228
Normal
-0.3
474
Normal
-0.3
745
Tumor
-0.3
815
Tumor
-0.3
448
Normal
-0.3
272
Normal
-0.3
918
Normal
-0.3
312
Normal
-0.3
356
Normal
-0.3
462
Normal
-0.3
874
Normal
-0.3
627
Tumor
-0.3
424
Normal
-0.3
162
Normal
-0.3
984
Normal
-0.4
534
Normal
-0.4
617
Tumor
-0.4
922
Normal
-0.4
528
Normal
-0.4
123
Tumor
-0.4
698
Normal
-0.4
1046
Normal
-0.4
416
Normal
-0.4
628
Normal
-0.4
1026
Normal
-0.4
738
Normal
-0.4
258
Normal
-0.4
868
Normal
-0.4
221
Tumor
-0.4
956
Normal
-0.4
138
Normal
-0.4
981
Tumor
-0.4
428
Normal
-0.4
422
Normal
-0.4
1014
Normal
-0.4
366
Normal
-0.4
728
Normal
-0.4
864
Normal
-0.4
722
Normal
-0.4
982
Normal
-0.4
392
Normal
-0.4
365
Tumor
-0.4
396
Normal
-0.4
388
Normal
-0.4
572
Normal
-0.4
286
Normal
-0.5
136
Normal
-0.5
358
Normal
-0.5
394
Normal
-0.5
1016
Normal
-0.5
298
Normal
-0.5
1027
Tumor
-0.5
915
Tumor
-0.5
354
Normal
-0.5
148
Normal
-0.5
214
Normal
-0.5
456
Normal
-0.5
851
Tumor
-0.5
414
Normal
-0.5
723
Tumor
-0.5
172
Normal
-0.5
866
Normal
-0.5
368
Normal
-0.5
912
Normal
-0.5
332
Normal
-0.5
232
Normal
-0.5
142
Normal
-0.5
618
Normal
-0.5
278
Normal
-0.5
862
Normal
-0.5
464
Normal
-0.6
342
Normal
-0.6
124
Normal
-0.6
113
Tumor
-0.6
884
Normal
-0.6
742
Normal
-0.6
222
Normal
-0.6
114
Normal
-0.6
574
Normal
-0.6
218
Normal
-0.6
824
Normal
-0.6
564
Normal
-0.6
513
Tumor
-0.6
816
Normal
-0.6
196
Normal
-0.6
186
Normal
-0.7
436
Normal
-0.7
468
Normal
-0.7
882
Normal
-0.7
616
Normal
-0.7
636
Normal
-0.7
568
Normal
-0.7
132
Normal
-0.7
466
Normal
-0.7
911
Tumor
-0.7
376
Normal
-0.7
642
Normal
-0.8
452
Normal
-0.8
818
Normal
-0.9
111
Normal
-0.9
314
Normal
-0.9
128
Normal
-1.0
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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.