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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.
F2 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 TPM
705.0
Number of samples
362
Samples
Sample
Description
TPM
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
2915.2
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
1988.8
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
1976.0
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
1931.2
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
1911.6
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
1824.9
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
1795.5
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
1682.3
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
1596.6
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
1586.4
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
1560.0
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
1544.5
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
1530.3
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
1517.9
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
1516.8
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
1516.4
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
1486.8
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
1453.4
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
1432.3
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
1407.5
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
1387.4
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
1384.8
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
1360.0
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
1352.4
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
1346.3
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
1331.0
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
1315.8
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
1310.7
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
1293.9
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
1291.8
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
1286.2
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
1283.1
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
1268.1
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
1266.2
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
1263.8
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
1263.1
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
1259.8
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
1255.7
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
1234.7
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
1225.7
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
1196.9
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
1194.4
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
1176.6
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
1173.7
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1169.1
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
1156.0
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
1137.2
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
1131.4
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
1124.4
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
1123.2
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
1119.7
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
1115.9
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
1114.4
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
1108.5
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
1105.0
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
1098.6
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
1095.3
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
1092.3
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
1084.9
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
1076.5
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
1073.9
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
1073.4
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
1067.9
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
1064.2
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
1056.1
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
1055.0
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
1049.5
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1031.6
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
1029.6
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
1027.5
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
1022.3
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
1018.9
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
1013.4
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
1011.3
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
1011.1
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
1004.8
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
1003.0
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1001.4
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
993.7
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
988.4
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
970.9
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
959.1
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
944.9
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
941.6
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
939.7
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
939.0
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
936.4
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
921.2
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
917.0
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
911.0
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
907.9
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
904.3
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
903.4
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
901.6
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
900.3
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
898.7
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
896.0
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
894.7
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
893.8
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
891.8
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
884.5
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
882.2
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
881.9
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
868.6
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
867.8
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
858.9
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
855.1
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
848.4
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
846.0
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
836.0
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
835.5
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
831.6
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
831.3
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
829.3
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
825.2
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
824.8
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
821.6
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
815.3
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
806.6
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
805.5
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
804.1
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
803.7
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
801.3
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
798.6
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
792.3
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
790.1
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
785.6
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
785.0
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
783.4
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
783.2
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
779.3
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
775.4
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
773.3
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
771.1
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
771.0
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
770.0
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
769.2
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
762.8
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
762.7
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
754.2
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
754.1
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
752.1
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
751.8
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
751.3
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
746.2
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
745.6
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
743.4
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
742.2
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
741.3
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
738.8
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
738.3
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
738.1
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
737.3
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
736.3
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
734.9
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
728.9
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
728.3
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
722.1
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
719.5
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
716.7
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
715.9
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
709.6
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
704.8
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
704.2
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
701.6
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
701.3
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
697.0
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
696.7
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
696.0
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
695.7
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
694.4
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
694.4
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
694.3
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
687.9
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
686.5
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
684.5
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
684.4
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
681.3
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
680.0
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
676.7
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
676.5
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
673.2
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
669.2
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
667.8
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
664.8
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
661.5
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
658.5
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
658.1
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
655.8
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
649.0
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
648.9
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
648.7
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
645.2
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
644.2
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
640.7
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
638.7
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
638.3
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
638.1
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
633.7
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
629.7
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
628.5
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
628.3
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
615.9
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
615.6
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
612.9
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
611.1
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
605.2
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
604.1
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
602.3
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
601.8
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
592.2
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
589.1
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
588.1
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
587.3
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
585.1
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
583.6
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
577.8
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
573.3
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
567.6
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
567.3
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
566.2
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
564.4
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
561.6
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
560.6
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
553.5
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
549.6
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
544.3
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
540.5
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
540.5
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
539.5
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
539.1
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
536.1
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
535.6
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
533.5
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
527.7
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
524.4
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
521.8
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
521.4
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
521.3
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
520.3
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
519.9
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
512.2
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
510.1
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
507.1
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
507.0
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
504.7
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
502.3
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
500.8
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
498.8
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
496.9
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
495.5
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
491.1
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
484.6
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
481.7
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
479.0
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
478.4
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
476.7
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
472.7
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
471.4
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
469.8
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
467.2
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
466.9
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
466.6
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
461.1
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
459.0
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
450.1
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
444.4
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
443.1
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
443.0
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
441.2
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
439.5
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
435.5
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
433.3
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
432.7
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
432.5
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
430.0
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
426.2
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
424.8
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
422.8
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
421.7
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
419.0
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
418.1
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
417.4
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
416.4
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
416.0
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
415.9
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
409.6
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
400.2
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
398.2
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
396.3
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
375.5
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
366.3
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
365.7
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
361.4
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
356.5
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
348.9
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
346.3
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
341.0
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
338.9
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
337.7
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
335.4
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
333.1
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
332.8
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
330.7
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
330.1
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
328.9
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
324.4
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
322.6
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
320.2
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
316.0
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
299.2
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
286.8
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
280.9
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
280.2
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
275.1
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
257.4
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
250.5
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
236.3
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
229.0
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
228.9
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
227.5
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
217.8
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
205.1
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
200.6
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
193.2
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
193.1
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
186.1
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
179.4
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
176.7
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
170.5
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
169.4
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
168.1
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
164.2
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
163.1
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
158.2
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
152.9
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
139.1
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
138.6
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
130.2
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
123.3
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
109.0
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
108.4
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
102.9
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
92.4
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
89.4
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
85.9
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
75.0
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
73.2
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
72.2
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
34.9
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
22.2
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
15.4
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
7.8
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
7.6
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
7.2
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
6.4
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
2.1
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
2.0
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
0.8
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
0.6
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
0.5
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 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.
F2 is not prognostic in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
534.0
Number of samples
231
Samples
Sample
Description
TPM
DO50839
47 years, female, NA, stage:3, alive, 330 days
1880.0
DO50844
75 years, male, NA, stage:4, alive, 300 days
1703.7
DO50804
81 years, male, NA, stage:2, alive, 720 days
1658.6
DO45183
72 years, female, NA, stage:2, dead, 570 days
1406.7
DO50789
73 years, female, NA, stage:2, alive, 570 days
1308.4
DO45227
57 years, female, NA, stage:2, alive, 1020 days
1306.9
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1294.2
DO50807
67 years, male, NA, stage:1, alive, 540 days
1280.3
DO45137
38 years, male, NA, stage:1, alive, 1320 days
1265.7
DO48760
70 years, female, NA, stage:2, alive, 690 days
1265.7
DO48674
80 years, male, NA, stage:2, alive, 1260 days
1200.7
DO48693
71 years, male, NA, stage:2, alive, 900 days
1179.0
DO45241
49 years, male, NA, stage:1, alive, 1080 days
1162.8
DO23538
67 years, male, NA, stage:2, alive, 450 days
1156.4
DO50850
74 years, male, NA, stage:3, alive, 720 days
1121.8
DO48701
78 years, male, NA, stage:2, alive, 780 days
1101.9
DO45265
73 years, male, NA, stage:3, alive, 1020 days
1095.7
DO50820
77 years, female, NA, stage:3, alive, 510 days
1057.4
DO45094
76 years, male, NA, stage:3, alive, 1650 days
1057.0
DO23527
72 years, male, NA, stage:1, alive, 1050 days
1010.1
DO50818
65 years, male, NA, stage:2, alive, 510 days
1010.0
DO45096
69 years, male, NA, stage:2, dead, 1290 days
1006.1
DO45187
32 years, female, NA, stage:1, alive, 1260 days
992.6
DO45169
74 years, male, NA, stage:3, alive, 1350 days
972.6
DO48715
58 years, female, NA, stage:2, dead, 690 days
968.7
DO45107
63 years, female, NA, stage:2, alive, 1710 days
959.2
DO23550
69 years, male, NA, stage:1, alive, 990 days
957.9
DO48742
76 years, male, NA, stage:2, alive, 600 days
929.9
DO45239
42 years, male, NA, stage:2, alive, 870 days
928.4
DO50832
73 years, male, NA, stage:3, alive, 90 days
921.6
DO45109
63 years, male, NA, stage:2, alive, 1590 days
920.0
DO50793
76 years, male, NA, stage:4, alive, 540 days
910.7
DO48725
66 years, male, NA, stage:1, alive, 780 days
891.0
DO50808
68 years, male, NA, stage:2, alive, 570 days
881.8
DO23515
71 years, male, NA, stage:2, alive, 1230 days
876.7
DO45159
65 years, male, NA, stage:3, alive, 1470 days
868.2
DO23517
62 years, male, NA, stage:2, alive, 1200 days
865.9
DO45179
78 years, female, NA, stage:2, alive, 600 days
864.3
DO23534
60 years, male, NA, stage:2, alive, 840 days
855.8
DO45121
61 years, male, NA, stage:3, alive, 1530 days
854.1
DO45209
70 years, male, NA, stage:4, alive, 1350 days
850.3
DO50813
56 years, male, NA, stage:2, alive, 420 days
847.8
DO45207
68 years, male, NA, stage:1, alive, 1050 days
825.1
DO45113
58 years, male, NA, stage:3, alive, 1560 days
816.4
DO45167
67 years, male, NA, stage:2, dead, 1440 days
800.9
DO45177
81 years, female, NA, stage:3, alive, 1260 days
788.6
DO45092
62 years, male, NA, stage:4, dead, 1200 days
773.8
DO45099
46 years, male, NA, stage:3, alive, 1590 days
768.8
DO45181
84 years, female, NA, stage:2, alive, 1200 days
766.1
DO45219
78 years, male, NA, stage:2, alive, 1080 days
760.7
DO50776
75 years, male, NA, stage:1, alive, 690 days
758.9
DO48736
76 years, female, NA, stage:1, alive, 600 days
754.9
DO48761
55 years, male, NA, stage:2, alive, 870 days
748.0
DO50814
83 years, male, NA, stage:3, alive, 420 days
747.9
DO227643
79 years, male, NA, stage:2, alive, 1260 days
741.4
DO50840
49 years, male, NA, stage:2, alive, 330 days
741.4
DO45195
62 years, male, NA, stage:1, alive, 390 days
740.2
DO23531
78 years, female, NA, stage:3, alive, 900 days
739.7
DO45229
74 years, male, NA, stage:1, alive, 990 days
727.3
DO23512
60 years, male, NA, stage:1, alive, 1260 days
718.1
DO48719
80 years, male, NA, stage:2, alive, 690 days
710.0
DO45163
76 years, male, NA, stage:2, alive, 960 days
705.9
DO45213
58 years, male, NA, stage:1, alive, 1200 days
705.9
DO48677
58 years, male, NA, stage:3, alive, 1140 days
696.7
DO23516
69 years, male, NA, stage:3, dead, 20 days
695.5
DO45129
61 years, male, NA, stage:3, alive, 1470 days
693.9
DO45243
74 years, female, NA, stage:3, alive, 930 days
692.0
DO48682
72 years, female, NA, stage:3, dead, 120 days
690.6
DO50822
66 years, male, NA, stage:2, alive, 510 days
689.3
DO23544
67 years, male, NA, stage:2, alive, 960 days
689.0
DO45203
71 years, female, NA, stage:2, alive, 1170 days
687.1
DO48733
72 years, male, NA, stage:2, alive, 600 days
678.1
DO45111
74 years, male, NA, stage:2, alive, 1590 days
674.3
DO45191
61 years, female, NA, stage:2, alive, 1200 days
672.0
DO48712
50 years, male, NA, stage:2, alive, 810 days
669.6
DO45197
51 years, male, NA, stage:2, alive, 1170 days
666.9
DO45173
63 years, male, NA, stage:3, alive, 1170 days
653.6
DO23551
73 years, male, NA, stage:3, dead, 150 days
653.6
DO45115
81 years, male, NA, stage:2, alive, 840 days
649.8
DO23508
79 years, female, NA, stage:2, alive, 390 days
642.7
DO23536
56 years, male, NA, stage:2, alive, 930 days
635.5
DO227801
77 years, female, NA, stage:1, alive, 660 days
627.7
DO48751
68 years, male, NA, stage:2, dead, 480 days
615.7
DO50857
72 years, male, NA, stage:2, alive, 210 days
610.9
DO23518
67 years, male, NA, stage:2, alive, 1320 days
610.0
DO45257
46 years, male, NA, stage:3, alive, 810 days
602.5
DO45133
64 years, male, NA, stage:3, dead, 660 days
601.8
DO45101
63 years, male, NA, stage:2, alive, 1680 days
597.4
DO48727
81 years, female, NA, stage:2, dead, 390 days
596.8
DO50819
72 years, female, NA, stage:2, alive, 510 days
596.5
DO45217
69 years, female, NA, stage:3, dead, 270 days
593.2
DO45215
65 years, male, NA, stage:2, alive, 1170 days
593.2
DO48695
77 years, male, NA, stage:2, alive, 720 days
592.6
DO45247
31 years, female, NA, stage:2, alive, 210 days
585.6
DO50811
62 years, male, NA, stage:1, alive, 450 days
575.9
DO50798
77 years, male, NA, stage:3, dead, 30 days
566.6
DO50774
68 years, female, NA, stage:2, alive, 720 days
554.6
DO50845
72 years, male, NA, stage:3, alive, 210 days
548.9
DO48737
52 years, male, NA, stage:1, alive, 720 days
548.5
DO48706
72 years, male, NA, stage:2, alive, 870 days
547.0
DO50816
63 years, male, NA, stage:2, alive, 390 days
545.6
DO23552
80 years, female, NA, stage:1, alive, 810 days
544.5
DO50799
66 years, female, NA, stage:2, alive, 540 days
540.7
DO23510
80 years, female, NA, stage:2, alive, 870 days
525.9
DO45261
74 years, male, NA, stage:3, alive, 990 days
521.5
DO50855
47 years, male, NA, stage:2, alive, 570 days
515.4
DO45123
78 years, female, NA, stage:2, dead, 570 days
513.5
DO45105
61 years, male, NA, stage:1, alive, 1680 days
505.5
DO50802
49 years, male, NA, stage:2, alive, 930 days
505.4
DO45135
77 years, male, NA, stage:1, alive, 1410 days
502.5
DO45193
68 years, female, NA, stage:4, dead, 120 days
501.4
DO23511
83 years, female, NA, stage:3, dead, 180 days
485.6
DO23545
67 years, male, NA, stage:2, dead, 570 days
484.4
DO23528
45 years, female, NA, stage:2, alive, 1020 days
484.1
DO45281
83 years, male, NA, stage:4, alive, 750 days
481.5
DO45233
83 years, male, NA, stage:3, alive, 900 days
480.6
DO45165
75 years, male, NA, stage:2, alive, 690 days
471.8
DO45117
73 years, female, NA, stage:2, dead, 1110 days
471.1
DO45201
49 years, male, NA, stage:1, alive, 900 days
469.7
DO45149
70 years, female, NA, stage:2, alive, 1260 days
468.9
DO45143
69 years, male, NA, stage:3, alive, 1290 days
468.4
DO45223
67 years, male, NA, stage:4, alive, 1020 days
463.6
DO48681
57 years, male, NA, stage:2, alive, 900 days
462.6
DO45093
71 years, male, NA, stage:2, dead, 720 days
459.0
DO48746
76 years, male, NA, stage:3, alive, 570 days
456.1
DO50783
62 years, male, NA, stage:3, alive, 480 days
455.3
DO45255
81 years, male, NA, stage:3, alive, 720 days
454.8
DO50800
74 years, male, NA, stage:2, alive, 510 days
450.8
DO23537
79 years, male, NA, stage:2, dead, 900 days
450.0
DO45231
84 years, male, NA, stage:2, alive, 930 days
449.1
DO48730
73 years, female, NA, stage:2, alive, 630 days
448.5
DO23535
67 years, male, NA, stage:1, alive, 960 days
445.6
DO50785
37 years, male, NA, stage:4, dead, 90 days
443.3
DO45199
86 years, female, NA, stage:2, alive, 1350 days
442.4
DO23529
72 years, male, NA, stage:4, alive, 930 days
442.2
DO50787
63 years, male, NA, stage:3, alive, 480 days
442.1
DO48721
58 years, female, NA, stage:1, alive, 900 days
441.1
DO45235
68 years, female, NA, stage:1, alive, 900 days
437.6
DO50805
72 years, male, NA, stage:2, alive, 690 days
434.9
DO45161
74 years, male, NA, stage:2, dead, 540 days
428.7
DO23543
63 years, male, NA, stage:2, alive, 1020 days
425.3
DO23533
61 years, male, NA, stage:2, alive, 900 days
420.0
DO48697
64 years, female, NA, stage:2, dead, 810 days
418.7
DO50803
62 years, female, NA, stage:1, alive, 540 days
418.2
DO23524
71 years, female, NA, stage:2, alive, 1050 days
416.3
DO45221
75 years, female, NA, stage:4, dead, 390 days
402.8
DO48672
81 years, male, NA, stage:2, alive, 450 days
393.0
DO48757
68 years, female, NA, stage:3, alive, 480 days
388.2
DO45095
66 years, male, NA, stage:2, alive, 1620 days
383.0
DO45091
56 years, male, NA, stage:2, dead, 1320 days
382.7
DO23513
76 years, male, NA, stage:3, alive, 1200 days
381.9
DO45269
59 years, male, NA, stage:3, alive, 750 days
379.9
DO48743
69 years, female, NA, stage:2, alive, 570 days
376.4
DO45153
77 years, female, NA, stage:2, alive, 1380 days
373.6
DO45097
69 years, male, NA, stage:3, alive, 1620 days
369.5
DO23532
71 years, female, NA, stage:1, alive, 960 days
369.1
DO48723
73 years, male, NA, stage:1, alive, 600 days
367.8
DO50791
79 years, female, NA, stage:1, dead, 480 days
364.9
DO45273
62 years, male, NA, stage:2, alive, 480 days
361.4
DO48720
62 years, female, NA, stage:2, alive, 570 days
339.6
DO48679
72 years, male, NA, stage:2, alive, 1200 days
338.0
DO48759
73 years, male, NA, stage:3, alive, 720 days
333.2
DO45125
58 years, male, NA, stage:3, alive, 1680 days
328.0
DO48741
64 years, male, NA, stage:3, alive, 240 days
325.4
DO23540
73 years, male, NA, stage:1, alive, 750 days
321.3
DO45157
62 years, male, NA, stage:2, alive, 1980 days
320.0
DO45119
74 years, male, NA, stage:3, dead, 510 days
312.9
DO23541
65 years, male, NA, stage:2, alive, 930 days
310.1
DO50809
56 years, male, NA, stage:3, dead, 720 days
309.0
DO23539
77 years, male, NA, stage:1, alive, 1110 days
308.8
DO48717
54 years, male, NA, stage:4, dead, 180 days
308.5
DO45103
47 years, male, NA, stage:3, alive, 450 days
307.9
DO23546
63 years, male, NA, stage:2, alive, 1050 days
305.2
DO48716
71 years, male, NA, stage:2, alive, 720 days
304.1
DO50806
70 years, male, NA, stage:4, alive, 540 days
302.9
DO23548
78 years, female, NA, stage:1, alive, 840 days
299.3
DO48728
74 years, female, NA, stage:2, alive, 150 days
295.1
DO45141
73 years, male, NA, stage:2, alive, 1320 days
289.7
DO50817
75 years, male, NA, stage:2, alive, 390 days
289.4
DO45171
56 years, male, NA, stage:3, alive, 600 days
280.9
DO50825
70 years, male, NA, stage:2, alive, 390 days
270.0
DO45175
74 years, male, NA, stage:2, alive, 1140 days
268.6
DO45225
69 years, male, NA, stage:1, alive, 1050 days
263.0
DO48704
68 years, female, NA, stage:3, alive, 750 days
260.6
DO48700
78 years, female, NA, stage:2, alive, 810 days
260.4
DO50815
62 years, male, NA, stage:3, alive, 150 days
244.8
DO23514
64 years, male, NA, stage:2, alive, 1290 days
241.1
DO45127
73 years, male, NA, stage:3, dead, 420 days
240.0
DO23509
60 years, male, NA, stage:3, dead, 780 days
235.4
DO50859
77 years, male, NA, stage:2, alive, 180 days
233.8
DO48732
73 years, male, NA, stage:3, alive, 630 days
226.7
DO23519
65 years, male, NA, stage:3, alive, 630 days
213.2
DO45263
67 years, male, NA, stage:3, dead, 270 days
209.0
DO45253
50 years, male, NA, stage:2, alive, 870 days
204.3
DO45131
53 years, male, NA, stage:4, dead, 360 days
203.3
DO23542
66 years, male, NA, stage:3, alive, 960 days
198.1
DO45139
63 years, male, NA, stage:3, alive, 1320 days
169.3
DO45155
69 years, male, NA, stage:2, alive, 2160 days
165.2
DO23549
74 years, male, NA, stage:3, alive, 990 days
153.5
DO45237
58 years, male, NA, stage:2, alive, 900 days
152.8
DO45259
65 years, male, NA, stage:3, alive, 330 days
138.5
DO23530
53 years, male, NA, stage:4, dead, 180 days
126.4
DO45145
78 years, male, NA, stage:3, dead, 60 days
114.4
DO45267
73 years, male, NA, stage:3, dead, 570 days
110.1
DO23521
63 years, male, NA, stage:3, alive, 1110 days
95.4
DO48747
62 years, male, NA, stage:3, alive, 540 days
89.4
DO23526
66 years, male, NA, stage:3, alive, 1050 days
66.2
DO45189
85 years, female, NA, stage:2, alive, 1200 days
65.1
DO23547
74 years, male, NA, stage:1, alive, 1020 days
63.0
DO50829
78 years, male, NA, stage:3, alive, 570 days
62.4
DO50778
60 years, male, NA, stage:4, alive, 630 days
57.5
DO45251
57 years, female, NA, stage:2, alive, 900 days
54.5
DO45249
57 years, male, NA, stage:1, alive, 630 days
50.8
DO45185
89 years, male, NA, stage:2, alive, 600 days
40.0
DO45301
56 years, male, NA, stage:2, dead, 1440 days
38.5
DO45275
65 years, male, NA, stage:3, dead, 10 days
33.9
DO45205
67 years, female, NA, stage:2, dead, 90 days
15.1
DO45287
74 years, male, NA, stage:1, alive, 390 days
12.3
DO45305
66 years, male, NA, stage:4, alive, 300 days
7.6
DO45283
60 years, male, NA, stage:3, alive, 510 days
6.2
DO45289
78 years, female, NA, stage:3, alive, 360 days
3.2
DO45279
67 years, male, NA, stage:3, alive, 1290 days
2.3
DO45277
64 years, male, NA, stage:3, alive, 600 days
1.7
DO45245
75 years, female, NA, stage:2, dead, 240 days
1.3
DO45297
61 years, female, NA, stage:4, dead, 1260 days
1.0
DO23523
52 years, male, NA, stage:3, alive, 1080 days
0.8
DO45299
70 years, female, NA, stage:1, alive, 1440 days
0.8
DO45303
62 years, female, NA, stage:3, alive, 990 days
0.7
DO45307
54 years, female, NA, stage:4, dead, 240 days
0.3
DO45285
59 years, male, NA, stage:3, alive, 480 days
0.3
DO45211
76 years, male, NA, stage:3, alive, 240 days
0.2
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
877
Tumor
1.8
635
Tumor
1.7
815
Tumor
1.5
343
Tumor
1.4
227
Tumor
1.3
983
Tumor
1.2
125
Tumor
1.2
921
Tumor
1.1
387
Tumor
1.1
137
Tumor
1.0
527
Tumor
1.0
813
Tumor
0.9
147
Tumor
0.9
671
Tumor
0.8
425
Tumor
0.8
445
Tumor
0.8
661
Tumor
0.7
663
Tumor
0.7
523
Tumor
0.7
257
Tumor
0.6
463
Tumor
0.6
391
Tumor
0.6
713
Tumor
0.6
471
Tumor
0.6
443
Tumor
0.5
277
Tumor
0.5
487
Tumor
0.5
363
Tumor
0.4
271
Tumor
0.4
367
Tumor
0.4
331
Tumor
0.4
517
Tumor
0.4
141
Tumor
0.4
135
Tumor
0.4
755
Tumor
0.4
461
Tumor
0.4
865
Tumor
0.4
817
Tumor
0.4
313
Tumor
0.4
421
Tumor
0.4
455
Tumor
0.3
737
Tumor
0.3
647
Tumor
0.3
967
Tumor
0.3
192
Normal
0.3
357
Tumor
0.3
431
Tumor
0.3
342
Normal
0.3
697
Tumor
0.3
823
Tumor
0.2
365
Tumor
0.2
746
Normal
0.2
745
Tumor
0.2
881
Tumor
0.2
785
Tumor
0.2
328
Normal
0.2
261
Tumor
0.2
267
Tumor
0.2
553
Tumor
0.2
435
Tumor
0.2
778
Normal
0.2
1027
Tumor
0.2
741
Tumor
0.1
615
Tumor
0.1
573
Tumor
0.1
851
Tumor
0.1
975
Tumor
0.1
221
Tumor
0.1
361
Tumor
0.1
515
Tumor
0.1
375
Tumor
0.1
223
Tumor
0.1
477
Tumor
0.1
185
Tumor
0.1
1045
Tumor
0.1
351
Tumor
0.1
977
Tumor
0.1
533
Tumor
0.1
1025
Tumor
0.1
383
Tumor
0.0
567
Tumor
0.0
112
Tumor
0.0
883
Tumor
0.0
341
Tumor
0.0
393
Tumor
0.0
777
Tumor
0.0
1041
Tumor
0.0
297
Tumor
0.0
535
Tumor
0.0
636
Normal
0.0
1031
Tumor
0.0
142
Normal
0.0
857
Tumor
0.0
685
Tumor
0.0
344
Normal
0.0
452
Normal
0.0
1021
Tumor
-0.1
951
Tumor
-0.1
395
Tumor
-0.1
217
Tumor
-0.1
161
Tumor
-0.1
423
Tumor
-0.1
816
Normal
-0.1
411
Tumor
-0.1
744
Normal
-0.1
911
Tumor
-0.1
525
Tumor
-0.1
715
Tumor
-0.1
878
Normal
-0.1
863
Tumor
-0.1
981
Tumor
-0.1
727
Tumor
-0.1
427
Tumor
-0.1
171
Tumor
-0.1
953
Tumor
-0.1
358
Normal
-0.1
368
Normal
-0.1
627
Tumor
-0.1
132
Normal
-0.2
491
Tumor
-0.2
964
Normal
-0.2
722
Normal
-0.2
354
Normal
-0.2
138
Normal
-0.2
915
Tumor
-0.2
513
Tumor
-0.2
474
Normal
-0.2
396
Normal
-0.2
428
Normal
-0.2
518
Normal
-0.2
465
Tumor
-0.2
145
Tumor
-0.2
526
Normal
-0.2
186
Normal
-0.2
388
Normal
-0.2
938
Normal
-0.2
743
Tumor
-0.2
473
Tumor
-0.2
618
Normal
-0.2
283
Tumor
-0.2
483
Tumor
-0.3
353
Tumor
-0.3
413
Tumor
-0.3
873
Tumor
-0.3
386
Normal
-0.3
913
Tumor
-0.3
385
Tumor
-0.3
546
Normal
-0.3
224
Normal
-0.3
136
Normal
-0.3
232
Normal
-0.3
228
Normal
-0.3
355
Tumor
-0.3
665
Tumor
-0.3
124
Normal
-0.3
464
Normal
-0.3
111
Normal
-0.3
392
Normal
-0.3
113
Tumor
-0.3
554
Normal
-0.3
394
Normal
-0.3
146
Normal
-0.3
314
Normal
-0.3
376
Normal
-0.3
285
Tumor
-0.3
364
Normal
-0.3
366
Normal
-0.3
472
Normal
-0.3
963
Tumor
-0.3
1016
Normal
-0.3
952
Normal
-0.3
468
Normal
-0.3
426
Normal
-0.3
127
Tumor
-0.3
1028
Normal
-0.4
516
Normal
-0.4
262
Normal
-0.4
298
Normal
-0.4
686
Normal
-0.4
126
Normal
-0.4
433
Tumor
-0.4
446
Normal
-0.4
436
Normal
-0.4
1026
Normal
-0.4
534
Normal
-0.4
738
Normal
-0.4
456
Normal
-0.4
672
Normal
-0.4
914
Normal
-0.4
218
Normal
-0.4
818
Normal
-0.4
488
Normal
-0.4
148
Normal
-0.4
874
Normal
-0.4
278
Normal
-0.4
641
Tumor
-0.4
648
Normal
-0.4
414
Normal
-0.4
258
Normal
-0.4
925
Tumor
-0.4
415
Tumor
-0.4
1042
Normal
-0.4
272
Normal
-0.4
447
Tumor
-0.4
327
Tumor
-0.4
268
Normal
-0.4
924
Normal
-0.4
695
Tumor
-0.4
982
Normal
-0.4
128
Normal
-0.4
642
Normal
-0.4
867
Tumor
-0.4
362
Normal
-0.4
1043
Tumor
-0.4
882
Normal
-0.4
114
Normal
-0.4
352
Normal
-0.4
956
Normal
-0.4
231
Tumor
-0.4
524
Normal
-0.4
131
Tumor
-0.4
196
Normal
-0.5
922
Normal
-0.5
866
Normal
-0.5
312
Normal
-0.5
332
Normal
-0.5
311
Tumor
-0.5
937
Tumor
-0.5
538
Normal
-0.5
756
Normal
-0.5
957
Tumor
-0.5
222
Normal
-0.5
462
Normal
-0.5
858
Normal
-0.5
422
Normal
-0.5
574
Normal
-0.5
545
Tumor
-0.5
728
Normal
-0.5
492
Normal
-0.5
1015
Tumor
-0.5
563
Tumor
-0.5
195
Tumor
-0.5
424
Normal
-0.5
213
Tumor
-0.5
742
Normal
-0.5
416
Normal
-0.5
286
Normal
-0.5
412
Normal
-0.5
444
Normal
-0.5
172
Normal
-0.5
536
Normal
-0.5
666
Normal
-0.5
448
Normal
-0.5
662
Normal
-0.5
188
Normal
-0.5
824
Normal
-0.5
786
Normal
-0.6
481
Tumor
-0.6
721
Tumor
-0.6
284
Normal
-0.6
434
Normal
-0.6
356
Normal
-0.6
214
Normal
-0.6
384
Normal
-0.6
494
Normal
-0.6
187
Tumor
-0.6
861
Tumor
-0.6
1022
Normal
-0.6
162
Normal
-0.6
862
Normal
-0.6
484
Normal
-0.6
568
Normal
-0.6
557
Tumor
-0.6
482
Normal
-0.6
696
Normal
-0.6
714
Normal
-0.6
466
Normal
-0.6
528
Normal
-0.6
191
Tumor
-0.6
984
Normal
-0.6
716
Normal
-0.6
968
Normal
-0.6
514
Normal
-0.6
664
Normal
-0.6
432
Normal
-0.6
617
Tumor
-0.6
723
Tumor
-0.6
976
Normal
-0.6
451
Tumor
-0.6
814
Normal
-0.6
868
Normal
-0.7
498
Normal
-0.7
698
Normal
-0.7
955
Tumor
-0.7
497
Tumor
-0.7
966
Normal
-0.7
923
Tumor
-0.7
628
Normal
-0.7
884
Normal
-0.7
537
Tumor
-0.7
1014
Normal
-0.7
864
Normal
-0.7
852
Normal
-0.8
958
Normal
-0.8
564
Normal
-0.8
1046
Normal
-0.8
916
Normal
-0.8
123
Tumor
-0.8
467
Tumor
-0.8
1013
Tumor
-0.8
493
Tumor
-0.8
558
Normal
-0.8
1032
Normal
-0.8
212
Normal
-0.8
616
Normal
-0.8
944
Normal
-0.8
965
Tumor
-0.8
918
Normal
-0.8
954
Normal
-0.8
926
Normal
-0.9
1044
Normal
-0.9
571
Tumor
-0.9
572
Normal
-0.9
478
Normal
-0.9
724
Normal
-0.9
917
Tumor
-1.0
912
Normal
-1.0
943
Tumor
-1.0
978
Normal
-1.1
211
Tumor
-1.4
Show allShow less
LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
