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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.
FN1 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
686.1
Number of samples
362
Samples
Sample
Description
TPM
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
3093.3
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
2968.4
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
2943.8
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
2754.4
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
2644.9
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
2323.9
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
2322.4
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
2317.6
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
2293.6
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1994.5
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
1994.2
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1937.9
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
1929.5
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
1770.1
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
1761.0
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
1719.8
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
1702.1
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
1660.5
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
1619.1
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
1616.7
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
1615.3
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
1465.8
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
1454.4
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
1451.2
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
1417.1
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
1417.0
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
1398.6
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
1380.2
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1376.4
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
1371.0
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1329.9
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
1326.4
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
1326.0
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
1314.6
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
1310.5
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
1307.4
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
1307.0
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
1306.0
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
1301.7
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
1298.4
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
1293.5
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
1286.7
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
1278.1
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
1276.3
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
1270.8
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
1267.0
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
1240.7
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
1239.8
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
1226.2
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
1220.6
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
1213.7
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
1208.3
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1199.0
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
1174.4
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
1160.8
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
1158.9
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
1151.5
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
1150.2
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
1145.7
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
1136.5
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
1131.0
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
1130.0
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
1122.5
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
1119.9
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
1116.3
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
1114.8
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
1113.6
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
1112.7
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
1100.7
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
1073.9
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
1068.8
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
1059.6
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
1047.4
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
1025.5
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
1015.3
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
1013.4
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
1010.6
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
994.6
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
991.6
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
986.9
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
979.9
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
978.0
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
972.5
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
969.6
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
962.3
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
959.9
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
952.8
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
952.7
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
948.5
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
940.6
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
932.6
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
927.6
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
917.5
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
914.9
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
913.1
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
908.5
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
907.4
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
905.1
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
901.2
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
898.3
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
898.0
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
894.8
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
889.3
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
878.0
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
876.4
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
873.7
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
863.4
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
860.0
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
858.6
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
857.2
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
853.6
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
847.7
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
845.4
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
843.5
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
842.9
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
835.7
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
829.8
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
826.5
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
821.7
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
816.6
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
815.8
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
813.5
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
804.9
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
804.4
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
804.0
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
803.6
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
797.3
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
795.0
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
793.2
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
787.6
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
786.7
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
786.4
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
776.3
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
769.9
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
753.3
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
746.2
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
741.5
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
739.7
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
737.1
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
736.0
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
736.0
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
733.1
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
727.7
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
719.7
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
711.8
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
707.9
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
702.9
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
702.1
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
696.4
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
693.1
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
691.2
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
690.6
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
690.2
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
684.8
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
683.8
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
682.7
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
681.9
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
677.7
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
677.5
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
672.3
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
670.8
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
669.3
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
666.6
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
664.1
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
663.4
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
662.5
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
652.8
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
649.0
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
645.9
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
645.9
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
645.2
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
643.2
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
639.0
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
638.4
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
624.0
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
620.0
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
619.4
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
615.5
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
614.6
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
613.9
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
611.7
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
603.2
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
601.8
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
601.6
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
592.4
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
590.4
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
573.6
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
573.4
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
569.8
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
569.6
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
565.4
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
553.6
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
552.0
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
542.8
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
540.9
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
539.8
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
537.2
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
536.2
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
532.9
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
527.6
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
527.5
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
521.2
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
518.1
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
510.5
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
501.4
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
501.1
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
497.7
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
489.5
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
488.6
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
483.1
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
477.8
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
474.7
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
473.1
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
471.3
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
470.6
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
466.8
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
464.3
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
463.9
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
463.3
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
462.6
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
459.6
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
451.0
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
450.3
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
449.0
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
448.9
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
446.9
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
446.1
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
433.3
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
433.2
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
432.1
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
431.0
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
424.8
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
418.9
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
414.1
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
400.0
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
399.0
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
397.6
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
395.9
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
394.0
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
392.5
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
385.3
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
385.0
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
384.5
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
382.9
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
382.4
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
381.0
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
380.3
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
378.3
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
367.4
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
365.8
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
365.5
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
360.4
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
360.0
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
356.7
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
356.2
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
355.9
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
352.1
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
348.8
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
348.7
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
347.1
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
341.3
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
337.3
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
333.9
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
331.2
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
329.4
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
328.8
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
327.9
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
323.4
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
323.3
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
314.1
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
313.8
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
311.4
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
308.8
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
305.7
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
301.1
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
299.0
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
294.3
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
293.7
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
293.2
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
290.0
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
289.1
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
280.7
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
272.2
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
260.1
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
251.0
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
246.5
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
243.7
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
242.6
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
242.2
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
242.0
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
241.3
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
241.2
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
239.4
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
232.5
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
229.5
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
226.6
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
219.6
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
216.0
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
207.9
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
206.9
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
203.9
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
203.6
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
198.4
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
192.3
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
186.4
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
184.7
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
181.0
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
181.0
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
176.6
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
172.4
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
167.5
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
164.1
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
163.4
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
157.9
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
150.4
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
149.3
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
148.6
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
148.3
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
128.7
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
118.2
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
117.7
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
116.6
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
112.6
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
110.7
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
109.7
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
103.9
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
90.0
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
87.4
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
82.0
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
76.3
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
75.3
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
74.5
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
74.2
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
72.5
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
68.2
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
60.6
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
60.3
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
59.2
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
57.3
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
56.3
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
54.3
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
49.7
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
42.7
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
37.6
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
32.4
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
27.7
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
25.9
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
25.2
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
23.7
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
22.7
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
21.7
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
21.6
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
20.3
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
19.0
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
16.8
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
16.7
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
16.5
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
14.7
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
14.1
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
12.7
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
11.1
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.
FN1 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
730.9
Number of samples
231
Samples
Sample
Description
TPM
DO48761
55 years, male, NA, stage:2, alive, 870 days
2968.4
DO23509
60 years, male, NA, stage:3, dead, 780 days
2817.6
DO45251
57 years, female, NA, stage:2, alive, 900 days
2648.9
DO45169
74 years, male, NA, stage:3, alive, 1350 days
2101.7
DO23511
83 years, female, NA, stage:3, dead, 180 days
1966.5
DO45113
58 years, male, NA, stage:3, alive, 1560 days
1907.1
DO23539
77 years, male, NA, stage:1, alive, 1110 days
1878.5
DO48742
76 years, male, NA, stage:2, alive, 600 days
1807.5
DO45157
62 years, male, NA, stage:2, alive, 1980 days
1763.4
DO23529
72 years, male, NA, stage:4, alive, 930 days
1751.3
DO23510
80 years, female, NA, stage:2, alive, 870 days
1654.6
DO45096
69 years, male, NA, stage:2, dead, 1290 days
1627.4
DO45167
67 years, male, NA, stage:2, dead, 1440 days
1625.7
DO45155
69 years, male, NA, stage:2, alive, 2160 days
1594.3
DO23540
73 years, male, NA, stage:1, alive, 750 days
1572.7
DO45235
68 years, female, NA, stage:1, alive, 900 days
1568.4
DO48751
68 years, male, NA, stage:2, dead, 480 days
1527.6
DO48732
73 years, male, NA, stage:3, alive, 630 days
1521.1
DO50778
60 years, male, NA, stage:4, alive, 630 days
1513.9
DO45269
59 years, male, NA, stage:3, alive, 750 days
1501.7
DO50859
77 years, male, NA, stage:2, alive, 180 days
1473.5
DO48728
74 years, female, NA, stage:2, alive, 150 days
1403.2
DO45117
73 years, female, NA, stage:2, dead, 1110 days
1383.6
DO45239
42 years, male, NA, stage:2, alive, 870 days
1348.5
DO48723
73 years, male, NA, stage:1, alive, 600 days
1343.1
DO50822
66 years, male, NA, stage:2, alive, 510 days
1327.0
DO50793
76 years, male, NA, stage:4, alive, 540 days
1318.7
DO50857
72 years, male, NA, stage:2, alive, 210 days
1314.9
DO45123
78 years, female, NA, stage:2, dead, 570 days
1284.9
DO45237
58 years, male, NA, stage:2, alive, 900 days
1284.6
DO45092
62 years, male, NA, stage:4, dead, 1200 days
1237.9
DO45175
74 years, male, NA, stage:2, alive, 1140 days
1230.2
DO23542
66 years, male, NA, stage:3, alive, 960 days
1227.7
DO45129
61 years, male, NA, stage:3, alive, 1470 days
1216.6
DO45139
63 years, male, NA, stage:3, alive, 1320 days
1210.4
DO45231
84 years, male, NA, stage:2, alive, 930 days
1190.4
DO50855
47 years, male, NA, stage:2, alive, 570 days
1169.1
DO45137
38 years, male, NA, stage:1, alive, 1320 days
1127.6
DO50800
74 years, male, NA, stage:2, alive, 510 days
1121.0
DO45145
78 years, male, NA, stage:3, dead, 60 days
1117.5
DO45205
67 years, female, NA, stage:2, dead, 90 days
1112.4
DO45091
56 years, male, NA, stage:2, dead, 1320 days
1096.6
DO48743
69 years, female, NA, stage:2, alive, 570 days
1077.6
DO23536
56 years, male, NA, stage:2, alive, 930 days
1056.7
DO45225
69 years, male, NA, stage:1, alive, 1050 days
1053.1
DO50850
74 years, male, NA, stage:3, alive, 720 days
1050.5
DO45233
83 years, male, NA, stage:3, alive, 900 days
1029.9
DO48757
68 years, female, NA, stage:3, alive, 480 days
1029.6
DO48727
81 years, female, NA, stage:2, dead, 390 days
1021.8
DO45221
75 years, female, NA, stage:4, dead, 390 days
1012.8
DO45094
76 years, male, NA, stage:3, alive, 1650 days
997.0
DO50844
75 years, male, NA, stage:4, alive, 300 days
994.4
DO50789
73 years, female, NA, stage:2, alive, 570 days
978.9
DO48681
57 years, male, NA, stage:2, alive, 900 days
968.7
DO45093
71 years, male, NA, stage:2, dead, 720 days
947.5
DO23521
63 years, male, NA, stage:3, alive, 1110 days
939.1
DO50832
73 years, male, NA, stage:3, alive, 90 days
938.9
DO45133
64 years, male, NA, stage:3, dead, 660 days
932.4
DO45165
75 years, male, NA, stage:2, alive, 690 days
931.3
DO45177
81 years, female, NA, stage:3, alive, 1260 days
931.1
DO23549
74 years, male, NA, stage:3, alive, 990 days
928.1
DO45207
68 years, male, NA, stage:1, alive, 1050 days
907.1
DO45263
67 years, male, NA, stage:3, dead, 270 days
905.5
DO45115
81 years, male, NA, stage:2, alive, 840 days
903.5
DO50804
81 years, male, NA, stage:2, alive, 720 days
896.6
DO48720
62 years, female, NA, stage:2, alive, 570 days
893.8
DO45187
32 years, female, NA, stage:1, alive, 1260 days
879.9
DO45247
31 years, female, NA, stage:2, alive, 210 days
879.6
DO50840
49 years, male, NA, stage:2, alive, 330 days
878.8
DO45213
58 years, male, NA, stage:1, alive, 1200 days
878.6
DO45111
74 years, male, NA, stage:2, alive, 1590 days
869.6
DO50807
67 years, male, NA, stage:1, alive, 540 days
846.5
DO45223
67 years, male, NA, stage:4, alive, 1020 days
844.7
DO23537
79 years, male, NA, stage:2, dead, 900 days
833.9
DO23515
71 years, male, NA, stage:2, alive, 1230 days
825.8
DO45183
72 years, female, NA, stage:2, dead, 570 days
820.9
DO45143
69 years, male, NA, stage:3, alive, 1290 days
819.4
DO45099
46 years, male, NA, stage:3, alive, 1590 days
816.4
DO50774
68 years, female, NA, stage:2, alive, 720 days
807.7
DO23513
76 years, male, NA, stage:3, alive, 1200 days
793.6
DO45191
61 years, female, NA, stage:2, alive, 1200 days
784.9
DO45197
51 years, male, NA, stage:2, alive, 1170 days
781.7
DO50820
77 years, female, NA, stage:3, alive, 510 days
772.8
DO50787
63 years, male, NA, stage:3, alive, 480 days
765.3
DO45275
65 years, male, NA, stage:3, dead, 10 days
757.2
DO45227
57 years, female, NA, stage:2, alive, 1020 days
756.5
DO45135
77 years, male, NA, stage:1, alive, 1410 days
754.5
DO23527
72 years, male, NA, stage:1, alive, 1050 days
753.5
DO48697
64 years, female, NA, stage:2, dead, 810 days
751.7
DO45261
74 years, male, NA, stage:3, alive, 990 days
751.7
DO48712
50 years, male, NA, stage:2, alive, 810 days
747.0
DO45281
83 years, male, NA, stage:4, alive, 750 days
737.3
DO45297
61 years, female, NA, stage:4, dead, 1260 days
728.9
DO23538
67 years, male, NA, stage:2, alive, 450 days
722.2
DO23535
67 years, male, NA, stage:1, alive, 960 days
721.3
DO48679
72 years, male, NA, stage:2, alive, 1200 days
713.3
DO48672
81 years, male, NA, stage:2, alive, 450 days
710.6
DO23552
80 years, female, NA, stage:1, alive, 810 days
686.7
DO23514
64 years, male, NA, stage:2, alive, 1290 days
673.6
DO48717
54 years, male, NA, stage:4, dead, 180 days
665.1
DO45121
61 years, male, NA, stage:3, alive, 1530 days
660.1
DO23550
69 years, male, NA, stage:1, alive, 990 days
659.0
DO227801
77 years, female, NA, stage:1, alive, 660 days
656.2
DO45253
50 years, male, NA, stage:2, alive, 870 days
653.1
DO48700
78 years, female, NA, stage:2, alive, 810 days
652.6
DO48693
71 years, male, NA, stage:2, alive, 900 days
651.4
DO45219
78 years, male, NA, stage:2, alive, 1080 days
648.8
DO48677
58 years, male, NA, stage:3, alive, 1140 days
639.4
DO45243
74 years, female, NA, stage:3, alive, 930 days
629.9
DO48719
80 years, male, NA, stage:2, alive, 690 days
629.7
DO48725
66 years, male, NA, stage:1, alive, 780 days
627.8
DO45101
63 years, male, NA, stage:2, alive, 1680 days
623.2
DO45127
73 years, male, NA, stage:3, dead, 420 days
622.9
DO23541
65 years, male, NA, stage:2, alive, 930 days
620.1
DO45199
86 years, female, NA, stage:2, alive, 1350 days
616.5
DO45265
73 years, male, NA, stage:3, alive, 1020 days
615.9
DO48730
73 years, female, NA, stage:2, alive, 630 days
614.9
DO50799
66 years, female, NA, stage:2, alive, 540 days
611.4
DO50825
70 years, male, NA, stage:2, alive, 390 days
603.5
DO50791
79 years, female, NA, stage:1, dead, 480 days
603.4
DO23545
67 years, male, NA, stage:2, dead, 570 days
587.5
DO45279
67 years, male, NA, stage:3, alive, 1290 days
584.3
DO23548
78 years, female, NA, stage:1, alive, 840 days
582.9
DO23543
63 years, male, NA, stage:2, alive, 1020 days
577.2
DO23547
74 years, male, NA, stage:1, alive, 1020 days
576.8
DO50845
72 years, male, NA, stage:3, alive, 210 days
567.8
DO45171
56 years, male, NA, stage:3, alive, 600 days
566.7
DO48737
52 years, male, NA, stage:1, alive, 720 days
560.5
DO23533
61 years, male, NA, stage:2, alive, 900 days
552.7
DO23525
71 years, male, NA, stage:4, alive, 1050 days
552.6
DO45105
61 years, male, NA, stage:1, alive, 1680 days
550.3
DO50809
56 years, male, NA, stage:3, dead, 720 days
547.4
DO45131
53 years, male, NA, stage:4, dead, 360 days
543.7
DO50785
37 years, male, NA, stage:4, dead, 90 days
536.1
DO50829
78 years, male, NA, stage:3, alive, 570 days
534.0
DO50819
72 years, female, NA, stage:2, alive, 510 days
532.8
DO23531
78 years, female, NA, stage:3, alive, 900 days
530.3
DO48721
58 years, female, NA, stage:1, alive, 900 days
515.8
DO45119
74 years, male, NA, stage:3, dead, 510 days
510.9
DO23516
69 years, male, NA, stage:3, dead, 20 days
508.7
DO45179
78 years, female, NA, stage:2, alive, 600 days
504.8
DO50805
72 years, male, NA, stage:2, alive, 690 days
502.5
DO50816
63 years, male, NA, stage:2, alive, 390 days
498.3
DO45273
62 years, male, NA, stage:2, alive, 480 days
491.5
DO45181
84 years, female, NA, stage:2, alive, 1200 days
491.4
DO50803
62 years, female, NA, stage:1, alive, 540 days
485.8
DO45141
73 years, male, NA, stage:2, alive, 1320 days
477.6
DO48747
62 years, male, NA, stage:3, alive, 540 days
475.6
DO45255
81 years, male, NA, stage:3, alive, 720 days
474.6
DO23524
71 years, female, NA, stage:2, alive, 1050 days
473.1
DO48701
78 years, male, NA, stage:2, alive, 780 days
470.9
DO45159
65 years, male, NA, stage:3, alive, 1470 days
459.5
DO50802
49 years, male, NA, stage:2, alive, 930 days
457.5
DO45289
78 years, female, NA, stage:3, alive, 360 days
450.6
DO45193
68 years, female, NA, stage:4, dead, 120 days
449.2
DO45103
47 years, male, NA, stage:3, alive, 450 days
445.1
DO48695
77 years, male, NA, stage:2, alive, 720 days
439.2
DO45109
63 years, male, NA, stage:2, alive, 1590 days
436.9
DO45215
65 years, male, NA, stage:2, alive, 1170 days
431.1
DO50776
75 years, male, NA, stage:1, alive, 690 days
430.9
DO45241
49 years, male, NA, stage:1, alive, 1080 days
429.4
DO23519
65 years, male, NA, stage:3, alive, 630 days
428.8
DO45307
54 years, female, NA, stage:4, dead, 240 days
426.9
DO50808
68 years, male, NA, stage:2, alive, 570 days
422.4
DO48736
76 years, female, NA, stage:1, alive, 600 days
422.2
DO23517
62 years, male, NA, stage:2, alive, 1200 days
420.0
DO50818
65 years, male, NA, stage:2, alive, 510 days
416.3
DO48746
76 years, male, NA, stage:3, alive, 570 days
414.5
DO50813
56 years, male, NA, stage:2, alive, 420 days
413.0
DO45305
66 years, male, NA, stage:4, alive, 300 days
406.1
DO45257
46 years, male, NA, stage:3, alive, 810 days
403.8
DO23526
66 years, male, NA, stage:3, alive, 1050 days
403.6
DO48715
58 years, female, NA, stage:2, dead, 690 days
403.0
DO48716
71 years, male, NA, stage:2, alive, 720 days
399.3
DO45163
76 years, male, NA, stage:2, alive, 960 days
398.8
DO48704
68 years, female, NA, stage:3, alive, 750 days
396.8
DO50806
70 years, male, NA, stage:4, alive, 540 days
392.6
DO45107
63 years, female, NA, stage:2, alive, 1710 days
383.3
DO45285
59 years, male, NA, stage:3, alive, 480 days
381.5
DO23546
63 years, male, NA, stage:2, alive, 1050 days
376.3
DO48760
70 years, female, NA, stage:2, alive, 690 days
374.6
DO48741
64 years, male, NA, stage:3, alive, 240 days
371.7
DO45201
49 years, male, NA, stage:1, alive, 900 days
371.0
DO23534
60 years, male, NA, stage:2, alive, 840 days
370.8
DO23518
67 years, male, NA, stage:2, alive, 1320 days
370.0
DO23530
53 years, male, NA, stage:4, dead, 180 days
357.5
DO50811
62 years, male, NA, stage:1, alive, 450 days
353.8
DO48682
72 years, female, NA, stage:3, dead, 120 days
350.7
DO45301
56 years, male, NA, stage:2, dead, 1440 days
348.5
DO48706
72 years, male, NA, stage:2, alive, 870 days
347.1
DO48733
72 years, male, NA, stage:2, alive, 600 days
342.2
DO45153
77 years, female, NA, stage:2, alive, 1380 days
341.7
DO48759
73 years, male, NA, stage:3, alive, 720 days
332.1
DO45189
85 years, female, NA, stage:2, alive, 1200 days
321.2
DO227643
79 years, male, NA, stage:2, alive, 1260 days
320.3
DO50798
77 years, male, NA, stage:3, dead, 30 days
320.2
DO45303
62 years, female, NA, stage:3, alive, 990 days
315.5
DO23512
60 years, male, NA, stage:1, alive, 1260 days
308.5
DO50815
62 years, male, NA, stage:3, alive, 150 days
302.5
DO45095
66 years, male, NA, stage:2, alive, 1620 days
301.1
DO45203
71 years, female, NA, stage:2, alive, 1170 days
299.5
DO45161
74 years, male, NA, stage:2, dead, 540 days
295.0
DO50817
75 years, male, NA, stage:2, alive, 390 days
290.8
DO23551
73 years, male, NA, stage:3, dead, 150 days
283.2
DO48674
80 years, male, NA, stage:2, alive, 1260 days
281.5
DO23528
45 years, female, NA, stage:2, alive, 1020 days
272.6
DO45229
74 years, male, NA, stage:1, alive, 990 days
271.8
DO45195
62 years, male, NA, stage:1, alive, 390 days
264.4
DO50783
62 years, male, NA, stage:3, alive, 480 days
257.3
DO45097
69 years, male, NA, stage:3, alive, 1620 days
248.6
DO45125
58 years, male, NA, stage:3, alive, 1680 days
243.8
DO45185
89 years, male, NA, stage:2, alive, 600 days
230.0
DO45173
63 years, male, NA, stage:3, alive, 1170 days
221.9
DO45287
74 years, male, NA, stage:1, alive, 390 days
219.1
DO23508
79 years, female, NA, stage:2, alive, 390 days
218.4
DO45267
73 years, male, NA, stage:3, dead, 570 days
214.8
DO45249
57 years, male, NA, stage:1, alive, 630 days
206.8
DO23532
71 years, female, NA, stage:1, alive, 960 days
206.4
DO23544
67 years, male, NA, stage:2, alive, 960 days
197.0
DO45283
60 years, male, NA, stage:3, alive, 510 days
185.5
DO45245
75 years, female, NA, stage:2, dead, 240 days
184.2
DO45149
70 years, female, NA, stage:2, alive, 1260 days
169.8
DO50814
83 years, male, NA, stage:3, alive, 420 days
163.0
DO45217
69 years, female, NA, stage:3, dead, 270 days
160.0
DO45209
70 years, male, NA, stage:4, alive, 1350 days
115.3
DO45299
70 years, female, NA, stage:1, alive, 1440 days
107.5
DO45211
76 years, male, NA, stage:3, alive, 240 days
105.8
DO45259
65 years, male, NA, stage:3, alive, 330 days
76.5
DO50839
47 years, female, NA, stage:3, alive, 330 days
68.8
DO23523
52 years, male, NA, stage:3, alive, 1080 days
58.7
DO45277
64 years, male, NA, stage:3, alive, 600 days
56.7
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
425
Tumor
2.3
877
Tumor
2.2
375
Tumor
1.8
343
Tumor
1.6
635
Tumor
1.6
363
Tumor
1.5
517
Tumor
1.5
647
Tumor
1.5
113
Tumor
1.3
671
Tumor
1.3
223
Tumor
1.3
367
Tumor
1.2
391
Tumor
1.2
463
Tumor
1.1
977
Tumor
1.1
171
Tumor
1.1
135
Tumor
1.0
665
Tumor
1.0
573
Tumor
1.0
331
Tumor
1.0
112
Tumor
1.0
217
Tumor
0.9
745
Tumor
0.9
535
Tumor
0.9
285
Tumor
0.8
413
Tumor
0.8
1025
Tumor
0.8
435
Tumor
0.7
455
Tumor
0.7
267
Tumor
0.6
567
Tumor
0.6
341
Tumor
0.6
851
Tumor
0.6
487
Tumor
0.6
713
Tumor
0.6
227
Tumor
0.5
161
Tumor
0.5
297
Tumor
0.5
743
Tumor
0.5
937
Tumor
0.5
755
Tumor
0.5
427
Tumor
0.5
431
Tumor
0.4
965
Tumor
0.4
1043
Tumor
0.4
957
Tumor
0.4
1021
Tumor
0.4
981
Tumor
0.4
443
Tumor
0.4
123
Tumor
0.4
185
Tumor
0.3
863
Tumor
0.3
145
Tumor
0.3
355
Tumor
0.3
147
Tumor
0.3
715
Tumor
0.3
311
Tumor
0.2
724
Normal
0.2
131
Tumor
0.2
815
Tumor
0.2
1045
Tumor
0.2
383
Tumor
0.2
823
Tumor
0.2
813
Tumor
0.2
483
Tumor
0.2
923
Tumor
0.2
141
Tumor
0.2
473
Tumor
0.2
433
Tumor
0.2
395
Tumor
0.2
187
Tumor
0.1
1013
Tumor
0.1
571
Tumor
0.1
545
Tumor
0.1
277
Tumor
0.1
477
Tumor
0.1
221
Tumor
0.1
445
Tumor
0.1
951
Tumor
0.1
137
Tumor
0.1
421
Tumor
0.0
387
Tumor
0.0
471
Tumor
0.0
515
Tumor
0.0
967
Tumor
0.0
685
Tumor
0.0
527
Tumor
0.0
697
Tumor
0.0
943
Tumor
0.0
497
Tumor
0.0
525
Tumor
-0.1
975
Tumor
-0.1
361
Tumor
-0.1
537
Tumor
-0.1
191
Tumor
-0.1
617
Tumor
-0.1
857
Tumor
-0.1
451
Tumor
-0.1
663
Tumor
-0.1
493
Tumor
-0.1
817
Tumor
-0.1
385
Tumor
-0.2
533
Tumor
-0.2
195
Tumor
-0.2
883
Tumor
-0.2
353
Tumor
-0.2
915
Tumor
-0.2
357
Tumor
-0.2
727
Tumor
-0.2
127
Tumor
-0.2
313
Tumor
-0.2
213
Tumor
-0.2
925
Tumor
-0.2
125
Tumor
-0.2
963
Tumor
-0.2
737
Tumor
-0.3
553
Tumor
-0.3
271
Tumor
-0.3
1041
Tumor
-0.3
865
Tumor
-0.3
257
Tumor
-0.3
447
Tumor
-0.3
344
Normal
-0.3
917
Tumor
-0.3
192
Normal
-0.3
124
Normal
-0.3
1031
Tumor
-0.3
423
Tumor
-0.3
426
Normal
-0.3
376
Normal
-0.3
741
Tumor
-0.3
365
Tumor
-0.4
538
Normal
-0.4
342
Normal
-0.4
368
Normal
-0.4
428
Normal
-0.4
393
Tumor
-0.4
224
Normal
-0.4
523
Tumor
-0.4
666
Normal
-0.4
283
Tumor
-0.4
354
Normal
-0.4
424
Normal
-0.4
461
Tumor
-0.4
328
Normal
-0.4
615
Tumor
-0.4
261
Tumor
-0.4
814
Normal
-0.4
1027
Tumor
-0.4
672
Normal
-0.4
498
Normal
-0.5
1015
Tumor
-0.5
785
Tumor
-0.5
921
Tumor
-0.5
364
Normal
-0.5
913
Tumor
-0.5
414
Normal
-0.5
536
Normal
-0.5
952
Normal
-0.5
211
Tumor
-0.5
327
Tumor
-0.5
953
Tumor
-0.5
366
Normal
-0.5
491
Tumor
-0.5
172
Normal
-0.5
636
Normal
-0.5
881
Tumor
-0.5
142
Normal
-0.6
648
Normal
-0.6
861
Tumor
-0.6
415
Tumor
-0.6
478
Normal
-0.6
777
Tumor
-0.6
873
Tumor
-0.6
557
Tumor
-0.6
422
Normal
-0.6
474
Normal
-0.6
332
Normal
-0.6
778
Normal
-0.6
284
Normal
-0.6
627
Tumor
-0.6
362
Normal
-0.6
188
Normal
-0.6
358
Normal
-0.6
132
Normal
-0.6
516
Normal
-0.6
351
Tumor
-0.6
228
Normal
-0.6
352
Normal
-0.6
138
Normal
-0.6
411
Tumor
-0.6
456
Normal
-0.6
744
Normal
-0.6
563
Tumor
-0.6
286
Normal
-0.6
128
Normal
-0.6
114
Normal
-0.6
574
Normal
-0.6
278
Normal
-0.7
695
Tumor
-0.7
384
Normal
-0.7
558
Normal
-0.7
468
Normal
-0.7
464
Normal
-0.7
465
Tumor
-0.7
394
Normal
-0.7
212
Normal
-0.7
146
Normal
-0.7
186
Normal
-0.7
162
Normal
-0.7
312
Normal
-0.7
314
Normal
-0.7
662
Normal
-0.7
444
Normal
-0.7
262
Normal
-0.7
392
Normal
-0.7
126
Normal
-0.7
954
Normal
-0.7
386
Normal
-0.7
524
Normal
-0.7
494
Normal
-0.7
298
Normal
-0.7
111
Normal
-0.7
136
Normal
-0.7
513
Tumor
-0.7
911
Tumor
-0.7
434
Normal
-0.7
452
Normal
-0.7
467
Tumor
-0.8
664
Normal
-0.8
983
Tumor
-0.8
976
Normal
-0.8
867
Tumor
-0.8
958
Normal
-0.8
396
Normal
-0.8
196
Normal
-0.8
488
Normal
-0.8
356
Normal
-0.8
148
Normal
-0.8
1042
Normal
-0.8
214
Normal
-0.8
955
Tumor
-0.8
432
Normal
-0.8
564
Normal
-0.8
492
Normal
-0.8
518
Normal
-0.8
388
Normal
-0.8
554
Normal
-0.8
526
Normal
-0.8
481
Tumor
-0.8
956
Normal
-0.8
1028
Normal
-0.8
746
Normal
-0.8
884
Normal
-0.8
722
Normal
-0.8
528
Normal
-0.8
964
Normal
-0.8
568
Normal
-0.8
446
Normal
-0.9
534
Normal
-0.9
914
Normal
-0.9
222
Normal
-0.9
514
Normal
-0.9
944
Normal
-0.9
416
Normal
-0.9
982
Normal
-0.9
756
Normal
-0.9
448
Normal
-0.9
978
Normal
-0.9
546
Normal
-0.9
218
Normal
-0.9
818
Normal
-0.9
258
Normal
-0.9
628
Normal
-0.9
686
Normal
-0.9
466
Normal
-0.9
696
Normal
-0.9
268
Normal
-0.9
786
Normal
-0.9
916
Normal
-0.9
1016
Normal
-0.9
912
Normal
-0.9
661
Tumor
-0.9
1046
Normal
-0.9
232
Normal
-0.9
938
Normal
-0.9
412
Normal
-0.9
723
Tumor
-0.9
616
Normal
-0.9
716
Normal
-0.9
572
Normal
-0.9
984
Normal
-0.9
824
Normal
-1.0
1014
Normal
-1.0
436
Normal
-1.0
618
Normal
-1.0
721
Tumor
-1.0
968
Normal
-1.0
858
Normal
-1.0
882
Normal
-1.0
642
Normal
-1.0
966
Normal
-1.0
878
Normal
-1.0
472
Normal
-1.0
272
Normal
-1.0
1022
Normal
-1.0
868
Normal
-1.0
482
Normal
-1.0
866
Normal
-1.0
484
Normal
-1.0
641
Tumor
-1.0
918
Normal
-1.0
816
Normal
-1.0
714
Normal
-1.0
728
Normal
-1.0
852
Normal
-1.0
926
Normal
-1.1
738
Normal
-1.1
922
Normal
-1.1
462
Normal
-1.1
924
Normal
-1.1
742
Normal
-1.1
1044
Normal
-1.1
1032
Normal
-1.1
864
Normal
-1.1
874
Normal
-1.1
1026
Normal
-1.2
231
Tumor
-1.2
698
Normal
-1.2
862
Normal
-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.