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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.
SERPINF1 is not prognostic in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
638.2
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
2737.2
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
2199.9
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
2005.9
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
1996.3
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
1970.3
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
1877.6
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
1809.6
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
1770.8
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1691.5
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
1653.7
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
1619.5
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
1608.6
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
1595.6
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
1532.6
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
1523.1
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
1502.8
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
1469.8
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
1426.4
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
1418.1
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
1399.2
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
1383.1
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
1370.4
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
1370.0
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
1367.0
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
1357.1
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
1315.1
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
1311.5
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
1307.0
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
1280.8
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
1257.7
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
1256.0
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
1253.7
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
1223.3
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
1216.5
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
1205.5
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
1177.5
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
1155.8
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
1148.7
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
1141.5
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
1121.2
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
1117.4
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
1116.4
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
1112.9
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
1108.1
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
1099.0
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
1089.2
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1082.6
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
1082.3
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
1069.8
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
1066.6
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
1052.0
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
1048.4
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
1044.7
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
1034.6
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
1018.0
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
1015.5
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
1014.2
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
1012.1
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
1001.7
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
1001.5
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
997.0
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
989.8
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
988.4
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
980.2
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
971.7
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
969.8
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
968.4
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
966.2
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
942.3
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
921.3
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
919.7
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
915.6
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
904.2
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
902.6
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
900.6
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
883.9
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
882.0
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
878.7
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
877.6
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
870.6
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
869.4
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
865.6
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
860.2
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
859.1
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
854.6
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
853.0
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
852.3
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
851.9
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
851.8
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
848.4
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
840.6
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
829.2
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
828.5
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
826.1
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
824.4
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
823.0
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
822.7
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
822.5
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
821.0
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
820.6
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
818.2
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
816.8
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
816.5
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
808.3
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
807.8
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
802.2
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
799.2
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
798.2
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
791.6
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
789.7
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
785.2
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
783.5
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
782.4
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
779.5
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
777.4
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
775.6
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
774.1
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
771.4
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
768.5
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
763.6
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
760.3
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
757.0
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
756.6
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
746.6
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
746.2
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
744.4
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
741.2
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
739.7
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
739.2
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
737.9
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
727.9
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
724.3
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
721.5
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
719.7
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
707.7
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
703.1
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
700.5
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
700.5
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
699.9
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
698.9
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
691.4
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
682.7
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
679.0
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
672.7
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
668.2
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
667.7
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
662.7
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
661.7
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
660.7
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
660.2
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
654.6
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
648.9
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
647.1
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
644.7
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
641.4
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
639.4
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
637.9
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
636.2
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
635.6
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
630.5
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
627.8
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
626.7
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
622.2
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
619.4
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
619.4
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
615.9
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
614.9
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
611.7
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
611.5
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
607.4
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
605.8
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
603.9
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
603.0
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
598.0
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
590.3
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
579.5
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
578.5
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
578.4
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
577.3
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
576.0
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
574.4
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
572.7
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
571.9
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
571.7
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
569.9
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
568.6
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
565.9
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
564.4
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
561.3
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
559.8
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
558.4
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
555.6
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
549.8
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
549.8
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
545.6
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
543.7
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
539.2
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
534.1
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
533.1
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
532.8
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
531.4
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
530.0
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
526.9
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
522.4
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
521.1
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
520.6
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
519.4
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
519.0
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
517.5
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
516.3
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
509.9
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
503.8
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
500.9
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
500.5
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
499.5
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
496.6
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
495.9
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
493.0
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
486.0
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
484.9
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
480.4
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
477.2
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
471.9
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
466.7
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
465.4
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
462.6
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
461.6
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
460.2
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
458.6
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
455.3
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
454.7
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
452.2
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
447.7
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
447.0
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
446.2
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
441.0
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
441.0
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
440.9
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
440.4
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
437.6
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
436.8
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
436.0
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
435.9
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
430.8
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
422.6
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
418.3
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
418.2
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
410.9
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
408.4
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
405.8
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
404.7
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
402.2
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
399.4
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
398.0
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
397.6
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
392.3
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
384.1
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
381.8
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
380.3
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
374.7
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
374.1
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
373.5
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
367.0
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
360.0
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
348.5
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
347.6
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
345.0
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
335.0
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
334.1
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
324.3
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
320.9
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
318.6
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
316.6
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
314.2
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
309.5
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
305.7
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
304.8
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
303.7
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
302.1
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
302.0
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
299.6
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
298.7
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
293.8
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
293.0
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
290.9
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
290.5
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
288.3
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
282.9
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
279.1
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
277.0
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
275.3
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
269.8
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
267.2
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
266.6
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
261.7
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
260.9
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
255.5
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
251.1
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
243.4
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
240.3
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
238.9
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
229.5
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
228.9
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
220.6
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
219.7
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
216.5
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
215.8
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
210.1
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
209.0
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
207.2
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
205.8
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
204.6
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
203.7
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
197.8
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
196.2
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
194.7
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
190.5
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
185.7
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
185.5
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
184.0
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
183.7
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
181.9
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
175.2
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
165.1
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
163.1
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
161.2
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
159.9
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
154.6
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
147.0
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
144.2
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
141.1
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
138.5
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
136.5
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
125.3
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
119.5
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
116.9
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
115.9
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
115.0
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
106.0
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
105.8
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
103.4
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
100.8
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
94.8
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
84.3
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
80.2
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
80.1
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
74.7
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
64.9
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
64.8
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
62.5
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
57.2
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
52.9
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
44.0
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
35.9
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
31.1
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
27.0
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
25.7
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
21.7
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
21.0
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
17.9
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
8.8
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 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.
SERPINF1 is potential prognostic, high expression is favorable in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
773.4
Number of samples
231
Samples
Sample
Description
pTPM
DO45155
69 years, male, NA, stage:2, alive, 2160 days
2361.2
DO45121
61 years, male, NA, stage:3, alive, 1530 days
2225.5
DO45197
51 years, male, NA, stage:2, alive, 1170 days
2198.0
DO50832
73 years, male, NA, stage:3, alive, 90 days
2167.4
DO50825
70 years, male, NA, stage:2, alive, 390 days
2154.2
DO45096
69 years, male, NA, stage:2, dead, 1290 days
2034.8
DO23529
72 years, male, NA, stage:4, alive, 930 days
2020.7
DO45259
65 years, male, NA, stage:3, alive, 330 days
1925.2
DO48717
54 years, male, NA, stage:4, dead, 180 days
1906.0
DO50783
62 years, male, NA, stage:3, alive, 480 days
1834.5
DO45227
57 years, female, NA, stage:2, alive, 1020 days
1816.9
DO50857
72 years, male, NA, stage:2, alive, 210 days
1806.5
DO50813
56 years, male, NA, stage:2, alive, 420 days
1747.3
DO48721
58 years, female, NA, stage:1, alive, 900 days
1743.7
DO45129
61 years, male, NA, stage:3, alive, 1470 days
1739.7
DO50811
62 years, male, NA, stage:1, alive, 450 days
1652.6
DO45159
65 years, male, NA, stage:3, alive, 1470 days
1618.7
DO23536
56 years, male, NA, stage:2, alive, 930 days
1611.0
DO45183
72 years, female, NA, stage:2, dead, 570 days
1601.9
DO45179
78 years, female, NA, stage:2, alive, 600 days
1570.8
DO48695
77 years, male, NA, stage:2, alive, 720 days
1539.7
DO45099
46 years, male, NA, stage:3, alive, 1590 days
1529.6
DO45247
31 years, female, NA, stage:2, alive, 210 days
1521.5
DO23552
80 years, female, NA, stage:1, alive, 810 days
1517.1
DO45257
46 years, male, NA, stage:3, alive, 810 days
1508.8
DO48736
76 years, female, NA, stage:1, alive, 600 days
1505.6
DO45177
81 years, female, NA, stage:3, alive, 1260 days
1488.5
DO45149
70 years, female, NA, stage:2, alive, 1260 days
1479.7
DO23528
45 years, female, NA, stage:2, alive, 1020 days
1398.4
DO48701
78 years, male, NA, stage:2, alive, 780 days
1380.5
DO48677
58 years, male, NA, stage:3, alive, 1140 days
1380.1
DO45137
38 years, male, NA, stage:1, alive, 1320 days
1366.4
DO50787
63 years, male, NA, stage:3, alive, 480 days
1355.5
DO45131
53 years, male, NA, stage:4, dead, 360 days
1329.4
DO45199
86 years, female, NA, stage:2, alive, 1350 days
1306.1
DO23548
78 years, female, NA, stage:1, alive, 840 days
1294.9
DO45233
83 years, male, NA, stage:3, alive, 900 days
1272.4
DO23512
60 years, male, NA, stage:1, alive, 1260 days
1263.1
DO45139
63 years, male, NA, stage:3, alive, 1320 days
1239.7
DO48733
72 years, male, NA, stage:2, alive, 600 days
1235.0
DO45109
63 years, male, NA, stage:2, alive, 1590 days
1226.4
DO50776
75 years, male, NA, stage:1, alive, 690 days
1223.4
DO45111
74 years, male, NA, stage:2, alive, 1590 days
1209.5
DO45261
74 years, male, NA, stage:3, alive, 990 days
1202.1
DO50802
49 years, male, NA, stage:2, alive, 930 days
1196.9
DO23514
64 years, male, NA, stage:2, alive, 1290 days
1194.1
DO45105
61 years, male, NA, stage:1, alive, 1680 days
1182.3
DO48737
52 years, male, NA, stage:1, alive, 720 days
1179.6
DO48761
55 years, male, NA, stage:2, alive, 870 days
1153.1
DO48746
76 years, male, NA, stage:3, alive, 570 days
1151.4
DO23538
67 years, male, NA, stage:2, alive, 450 days
1146.5
DO48759
73 years, male, NA, stage:3, alive, 720 days
1140.3
DO50820
77 years, female, NA, stage:3, alive, 510 days
1137.0
DO50819
72 years, female, NA, stage:2, alive, 510 days
1133.6
DO50855
47 years, male, NA, stage:2, alive, 570 days
1128.4
DO23516
69 years, male, NA, stage:3, dead, 20 days
1126.5
DO48760
70 years, female, NA, stage:2, alive, 690 days
1125.1
DO45215
65 years, male, NA, stage:2, alive, 1170 days
1112.2
DO45167
67 years, male, NA, stage:2, dead, 1440 days
1093.7
DO23550
69 years, male, NA, stage:1, alive, 990 days
1093.3
DO45173
63 years, male, NA, stage:3, alive, 1170 days
1090.1
DO45095
66 years, male, NA, stage:2, alive, 1620 days
1088.9
DO45281
83 years, male, NA, stage:4, alive, 750 days
1081.6
DO45255
81 years, male, NA, stage:3, alive, 720 days
1036.9
DO23513
76 years, male, NA, stage:3, alive, 1200 days
1034.7
DO45103
47 years, male, NA, stage:3, alive, 450 days
1003.5
DO23527
72 years, male, NA, stage:1, alive, 1050 days
1001.6
DO45207
68 years, male, NA, stage:1, alive, 1050 days
994.9
DO48742
76 years, male, NA, stage:2, alive, 600 days
988.2
DO50818
65 years, male, NA, stage:2, alive, 510 days
982.0
DO48712
50 years, male, NA, stage:2, alive, 810 days
972.0
DO50800
74 years, male, NA, stage:2, alive, 510 days
963.8
DO45097
69 years, male, NA, stage:3, alive, 1620 days
956.4
DO23544
67 years, male, NA, stage:2, alive, 960 days
953.2
DO23510
80 years, female, NA, stage:2, alive, 870 days
940.2
DO45101
63 years, male, NA, stage:2, alive, 1680 days
929.2
DO45171
56 years, male, NA, stage:3, alive, 600 days
911.9
DO45213
58 years, male, NA, stage:1, alive, 1200 days
905.1
DO50807
67 years, male, NA, stage:1, alive, 540 days
902.0
DO23535
67 years, male, NA, stage:1, alive, 960 days
897.0
DO48679
72 years, male, NA, stage:2, alive, 1200 days
887.0
DO45195
62 years, male, NA, stage:1, alive, 390 days
879.8
DO23524
71 years, female, NA, stage:2, alive, 1050 days
859.3
DO23539
77 years, male, NA, stage:1, alive, 1110 days
856.9
DO45219
78 years, male, NA, stage:2, alive, 1080 days
851.1
DO45141
73 years, male, NA, stage:2, alive, 1320 days
848.5
DO45091
56 years, male, NA, stage:2, dead, 1320 days
844.4
DO23533
61 years, male, NA, stage:2, alive, 900 days
841.9
DO23541
65 years, male, NA, stage:2, alive, 930 days
830.6
DO23508
79 years, female, NA, stage:2, alive, 390 days
827.3
DO45191
61 years, female, NA, stage:2, alive, 1200 days
820.1
DO45119
74 years, male, NA, stage:3, dead, 510 days
814.3
DO50859
77 years, male, NA, stage:2, alive, 180 days
812.2
DO48757
68 years, female, NA, stage:3, alive, 480 days
803.3
DO50816
63 years, male, NA, stage:2, alive, 390 days
803.2
DO45189
85 years, female, NA, stage:2, alive, 1200 days
802.6
DO45231
84 years, male, NA, stage:2, alive, 930 days
796.7
DO45094
76 years, male, NA, stage:3, alive, 1650 days
788.5
DO50839
47 years, female, NA, stage:3, alive, 330 days
774.8
DO45092
62 years, male, NA, stage:4, dead, 1200 days
762.0
DO45269
59 years, male, NA, stage:3, alive, 750 days
756.9
DO45187
32 years, female, NA, stage:1, alive, 1260 days
744.9
DO23517
62 years, male, NA, stage:2, alive, 1200 days
733.4
DO48700
78 years, female, NA, stage:2, alive, 810 days
719.3
DO23521
63 years, male, NA, stage:3, alive, 1110 days
709.4
DO45113
58 years, male, NA, stage:3, alive, 1560 days
706.7
DO48697
64 years, female, NA, stage:2, dead, 810 days
702.1
DO23537
79 years, male, NA, stage:2, dead, 900 days
694.9
DO45143
69 years, male, NA, stage:3, alive, 1290 days
686.8
DO50805
72 years, male, NA, stage:2, alive, 690 days
685.3
DO48674
80 years, male, NA, stage:2, alive, 1260 days
684.5
DO45205
67 years, female, NA, stage:2, dead, 90 days
682.5
DO48681
57 years, male, NA, stage:2, alive, 900 days
681.1
DO45203
71 years, female, NA, stage:2, alive, 1170 days
672.7
DO45229
74 years, male, NA, stage:1, alive, 990 days
671.1
DO48741
64 years, male, NA, stage:3, alive, 240 days
670.4
DO50789
73 years, female, NA, stage:2, alive, 570 days
664.1
DO45243
74 years, female, NA, stage:3, alive, 930 days
660.4
DO227801
77 years, female, NA, stage:1, alive, 660 days
657.1
DO45223
67 years, male, NA, stage:4, alive, 1020 days
647.7
DO50804
81 years, male, NA, stage:2, alive, 720 days
631.4
DO45153
77 years, female, NA, stage:2, alive, 1380 days
624.7
DO23551
73 years, male, NA, stage:3, dead, 150 days
621.0
DO45193
68 years, female, NA, stage:4, dead, 120 days
617.6
DO50817
75 years, male, NA, stage:2, alive, 390 days
617.4
DO227643
79 years, male, NA, stage:2, alive, 1260 days
617.0
DO48743
69 years, female, NA, stage:2, alive, 570 days
608.1
DO45107
63 years, female, NA, stage:2, alive, 1710 days
606.0
DO45161
74 years, male, NA, stage:2, dead, 540 days
605.6
DO48715
58 years, female, NA, stage:2, dead, 690 days
594.1
DO23534
60 years, male, NA, stage:2, alive, 840 days
590.9
DO23547
74 years, male, NA, stage:1, alive, 1020 days
590.5
DO23530
53 years, male, NA, stage:4, dead, 180 days
584.5
DO23546
63 years, male, NA, stage:2, alive, 1050 days
577.6
DO50806
70 years, male, NA, stage:4, alive, 540 days
577.6
DO23515
71 years, male, NA, stage:2, alive, 1230 days
570.6
DO23509
60 years, male, NA, stage:3, dead, 780 days
570.6
DO50809
56 years, male, NA, stage:3, dead, 720 days
569.6
DO50778
60 years, male, NA, stage:4, alive, 630 days
565.4
DO45217
69 years, female, NA, stage:3, dead, 270 days
546.3
DO45115
81 years, male, NA, stage:2, alive, 840 days
544.7
DO48706
72 years, male, NA, stage:2, alive, 870 days
533.8
DO50845
72 years, male, NA, stage:3, alive, 210 days
529.0
DO45241
49 years, male, NA, stage:1, alive, 1080 days
528.0
DO45135
77 years, male, NA, stage:1, alive, 1410 days
528.0
DO50799
66 years, female, NA, stage:2, alive, 540 days
527.0
DO45237
58 years, male, NA, stage:2, alive, 900 days
514.2
DO45157
62 years, male, NA, stage:2, alive, 1980 days
512.1
DO45133
64 years, male, NA, stage:3, dead, 660 days
500.1
DO48728
74 years, female, NA, stage:2, alive, 150 days
494.7
DO50840
49 years, male, NA, stage:2, alive, 330 days
493.9
DO48720
62 years, female, NA, stage:2, alive, 570 days
493.5
DO45235
68 years, female, NA, stage:1, alive, 900 days
491.7
DO45163
76 years, male, NA, stage:2, alive, 960 days
485.7
DO45093
71 years, male, NA, stage:2, dead, 720 days
476.9
DO48732
73 years, male, NA, stage:3, alive, 630 days
466.7
DO45275
65 years, male, NA, stage:3, dead, 10 days
457.7
DO45181
84 years, female, NA, stage:2, alive, 1200 days
456.1
DO48727
81 years, female, NA, stage:2, dead, 390 days
440.5
DO23531
78 years, female, NA, stage:3, alive, 900 days
435.3
DO50808
68 years, male, NA, stage:2, alive, 570 days
432.5
DO48693
71 years, male, NA, stage:2, alive, 900 days
431.3
DO48723
73 years, male, NA, stage:1, alive, 600 days
427.6
DO45253
50 years, male, NA, stage:2, alive, 870 days
420.0
DO48716
71 years, male, NA, stage:2, alive, 720 days
419.5
DO50822
66 years, male, NA, stage:2, alive, 510 days
419.2
DO45209
70 years, male, NA, stage:4, alive, 1350 days
418.5
DO23518
67 years, male, NA, stage:2, alive, 1320 days
414.7
DO50850
74 years, male, NA, stage:3, alive, 720 days
411.1
DO48725
66 years, male, NA, stage:1, alive, 780 days
407.6
DO45263
67 years, male, NA, stage:3, dead, 270 days
405.3
DO23542
66 years, male, NA, stage:3, alive, 960 days
395.2
DO48730
73 years, female, NA, stage:2, alive, 630 days
390.8
DO45225
69 years, male, NA, stage:1, alive, 1050 days
390.2
DO23543
63 years, male, NA, stage:2, alive, 1020 days
388.0
DO50793
76 years, male, NA, stage:4, alive, 540 days
386.6
DO23511
83 years, female, NA, stage:3, dead, 180 days
378.7
DO45123
78 years, female, NA, stage:2, dead, 570 days
366.6
DO50815
62 years, male, NA, stage:3, alive, 150 days
355.6
DO23526
66 years, male, NA, stage:3, alive, 1050 days
354.7
DO45125
58 years, male, NA, stage:3, alive, 1680 days
354.4
DO50774
68 years, female, NA, stage:2, alive, 720 days
348.9
DO45175
74 years, male, NA, stage:2, alive, 1140 days
344.0
DO50791
79 years, female, NA, stage:1, dead, 480 days
337.4
DO23540
73 years, male, NA, stage:1, alive, 750 days
335.4
DO23545
67 years, male, NA, stage:2, dead, 570 days
334.5
DO48719
80 years, male, NA, stage:2, alive, 690 days
331.7
DO23525
71 years, male, NA, stage:4, alive, 1050 days
330.0
DO23532
71 years, female, NA, stage:1, alive, 960 days
329.8
DO45201
49 years, male, NA, stage:1, alive, 900 days
327.4
DO45127
73 years, male, NA, stage:3, dead, 420 days
326.8
DO45185
89 years, male, NA, stage:2, alive, 600 days
325.9
DO45165
75 years, male, NA, stage:2, alive, 690 days
319.2
DO23549
74 years, male, NA, stage:3, alive, 990 days
300.0
DO45273
62 years, male, NA, stage:2, alive, 480 days
299.6
DO48704
68 years, female, NA, stage:3, alive, 750 days
294.2
DO45265
73 years, male, NA, stage:3, alive, 1020 days
277.7
DO45267
73 years, male, NA, stage:3, dead, 570 days
264.9
DO50829
78 years, male, NA, stage:3, alive, 570 days
263.9
DO48672
81 years, male, NA, stage:2, alive, 450 days
250.6
DO45251
57 years, female, NA, stage:2, alive, 900 days
245.8
DO50814
83 years, male, NA, stage:3, alive, 420 days
243.1
DO45169
74 years, male, NA, stage:3, alive, 1350 days
242.7
DO50798
77 years, male, NA, stage:3, dead, 30 days
241.7
DO48747
62 years, male, NA, stage:3, alive, 540 days
223.4
DO50785
37 years, male, NA, stage:4, dead, 90 days
220.6
DO45117
73 years, female, NA, stage:2, dead, 1110 days
217.5
DO50803
62 years, female, NA, stage:1, alive, 540 days
211.8
DO45249
57 years, male, NA, stage:1, alive, 630 days
205.5
DO45287
74 years, male, NA, stage:1, alive, 390 days
197.3
DO45239
42 years, male, NA, stage:2, alive, 870 days
182.6
DO48682
72 years, female, NA, stage:3, dead, 120 days
180.5
DO45221
75 years, female, NA, stage:4, dead, 390 days
178.7
DO45283
60 years, male, NA, stage:3, alive, 510 days
177.9
DO45307
54 years, female, NA, stage:4, dead, 240 days
130.8
DO23523
52 years, male, NA, stage:3, alive, 1080 days
129.6
DO45279
67 years, male, NA, stage:3, alive, 1290 days
102.3
DO45277
64 years, male, NA, stage:3, alive, 600 days
83.3
DO45211
76 years, male, NA, stage:3, alive, 240 days
79.1
DO45301
56 years, male, NA, stage:2, dead, 1440 days
58.9
DO45305
66 years, male, NA, stage:4, alive, 300 days
45.6
DO45289
78 years, female, NA, stage:3, alive, 360 days
37.2
DO45285
59 years, male, NA, stage:3, alive, 480 days
25.6
DO45297
61 years, female, NA, stage:4, dead, 1260 days
24.7
DO45145
78 years, male, NA, stage:3, dead, 60 days
20.6
DO50844
75 years, male, NA, stage:4, alive, 300 days
18.7
DO48751
68 years, male, NA, stage:2, dead, 480 days
17.4
DO45303
62 years, female, NA, stage:3, alive, 990 days
17.3
DO23519
65 years, male, NA, stage:3, alive, 630 days
10.7
DO45245
75 years, female, NA, stage:2, dead, 240 days
7.8
DO45299
70 years, female, NA, stage:1, alive, 1440 days
6.7
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
227
Tumor
2.2
877
Tumor
2.1
363
Tumor
2.0
881
Tumor
1.6
863
Tumor
1.6
817
Tumor
1.5
343
Tumor
1.4
455
Tumor
1.4
975
Tumor
1.4
283
Tumor
1.3
311
Tumor
1.3
671
Tumor
1.2
375
Tumor
1.2
545
Tumor
1.2
355
Tumor
1.2
297
Tumor
1.2
713
Tumor
1.1
471
Tumor
1.0
813
Tumor
1.0
421
Tumor
1.0
697
Tumor
1.0
641
Tumor
1.0
921
Tumor
0.9
715
Tumor
0.9
131
Tumor
0.9
425
Tumor
0.9
517
Tumor
0.8
557
Tumor
0.8
447
Tumor
0.8
385
Tumor
0.7
883
Tumor
0.7
743
Tumor
0.7
187
Tumor
0.7
141
Tumor
0.7
223
Tumor
0.7
563
Tumor
0.7
444
Normal
0.7
917
Tumor
0.6
191
Tumor
0.6
145
Tumor
0.6
823
Tumor
0.6
461
Tumor
0.6
525
Tumor
0.6
463
Tumor
0.6
383
Tumor
0.6
665
Tumor
0.6
192
Normal
0.5
137
Tumor
0.5
1045
Tumor
0.5
535
Tumor
0.5
277
Tumor
0.5
427
Tumor
0.5
185
Tumor
0.5
857
Tumor
0.4
515
Tumor
0.4
365
Tumor
0.4
135
Tumor
0.4
785
Tumor
0.3
527
Tumor
0.3
983
Tumor
0.3
943
Tumor
0.3
923
Tumor
0.3
635
Tumor
0.3
1041
Tumor
0.3
536
Normal
0.2
963
Tumor
0.2
313
Tumor
0.2
483
Tumor
0.2
958
Normal
0.2
384
Normal
0.2
224
Normal
0.2
967
Tumor
0.2
433
Tumor
0.2
261
Tumor
0.2
491
Tumor
0.2
113
Tumor
0.1
814
Normal
0.1
221
Tumor
0.1
331
Tumor
0.1
647
Tumor
0.1
777
Tumor
0.1
884
Normal
0.1
492
Normal
0.1
213
Tumor
0.1
393
Tumor
0.1
285
Tumor
0.1
953
Tumor
0.0
573
Tumor
0.0
391
Tumor
0.0
422
Normal
0.0
1027
Tumor
0.0
124
Normal
0.0
878
Normal
0.0
443
Tumor
0.0
328
Normal
0.0
387
Tumor
0.0
327
Tumor
0.0
314
Normal
0.0
741
Tumor
0.0
361
Tumor
0.0
394
Normal
0.0
386
Normal
0.0
142
Normal
0.0
395
Tumor
0.0
388
Normal
0.0
217
Tumor
0.0
228
Normal
0.0
516
Normal
-0.1
523
Tumor
-0.1
981
Tumor
-0.1
524
Normal
-0.1
615
Tumor
-0.1
553
Tumor
-0.1
364
Normal
-0.1
354
Normal
-0.1
1028
Normal
-0.1
448
Normal
-0.1
146
Normal
-0.1
627
Tumor
-0.1
195
Tumor
-0.1
428
Normal
-0.1
474
Normal
-0.1
964
Normal
-0.1
868
Normal
-0.1
818
Normal
-0.1
514
Normal
-0.1
472
Normal
-0.1
415
Tumor
-0.1
367
Tumor
-0.1
1046
Normal
-0.1
123
Tumor
-0.1
1042
Normal
-0.1
874
Normal
-0.2
312
Normal
-0.2
451
Tumor
-0.2
298
Normal
-0.2
392
Normal
-0.2
464
Normal
-0.2
368
Normal
-0.2
462
Normal
-0.2
188
Normal
-0.2
218
Normal
-0.2
416
Normal
-0.2
1022
Normal
-0.2
473
Tumor
-0.2
284
Normal
-0.2
852
Normal
-0.2
353
Tumor
-0.2
926
Normal
-0.2
467
Tumor
-0.2
786
Normal
-0.2
498
Normal
-0.2
431
Tumor
-0.2
366
Normal
-0.2
938
Normal
-0.2
672
Normal
-0.2
136
Normal
-0.2
916
Normal
-0.2
214
Normal
-0.2
211
Tumor
-0.2
882
Normal
-0.2
617
Tumor
-0.2
1015
Tumor
-0.2
913
Tumor
-0.2
815
Tumor
-0.2
982
Normal
-0.2
867
Tumor
-0.2
538
Normal
-0.2
915
Tumor
-0.2
125
Tumor
-0.2
866
Normal
-0.2
456
Normal
-0.2
268
Normal
-0.2
755
Tumor
-0.2
432
Normal
-0.2
1032
Normal
-0.2
126
Normal
-0.3
526
Normal
-0.3
161
Tumor
-0.3
918
Normal
-0.3
484
Normal
-0.3
482
Normal
-0.3
666
Normal
-0.3
286
Normal
-0.3
618
Normal
-0.3
412
Normal
-0.3
662
Normal
-0.3
912
Normal
-0.3
436
Normal
-0.3
257
Tumor
-0.3
396
Normal
-0.3
468
Normal
-0.3
278
Normal
-0.3
648
Normal
-0.3
977
Tumor
-0.3
147
Tumor
-0.3
196
Normal
-0.3
356
Normal
-0.3
664
Normal
-0.3
362
Normal
-0.3
571
Tumor
-0.3
642
Normal
-0.3
937
Tumor
-0.3
424
Normal
-0.3
778
Normal
-0.3
132
Normal
-0.3
271
Tumor
-0.3
737
Tumor
-0.3
954
Normal
-0.3
534
Normal
-0.3
546
Normal
-0.3
756
Normal
-0.3
558
Normal
-0.3
685
Tumor
-0.3
1043
Tumor
-0.3
376
Normal
-0.3
1044
Normal
-0.3
172
Normal
-0.3
466
Normal
-0.3
446
Normal
-0.3
138
Normal
-0.3
423
Tumor
-0.3
957
Tumor
-0.4
452
Normal
-0.4
862
Normal
-0.4
816
Normal
-0.4
518
Normal
-0.4
858
Normal
-0.4
968
Normal
-0.4
222
Normal
-0.4
513
Tumor
-0.4
478
Normal
-0.4
745
Tumor
-0.4
864
Normal
-0.4
636
Normal
-0.4
465
Tumor
-0.4
481
Tumor
-0.4
746
Normal
-0.4
494
Normal
-0.4
716
Normal
-0.4
873
Tumor
-0.4
212
Normal
-0.4
976
Normal
-0.4
1025
Tumor
-0.4
445
Tumor
-0.4
564
Normal
-0.4
493
Tumor
-0.4
344
Normal
-0.4
914
Normal
-0.4
358
Normal
-0.4
574
Normal
-0.4
426
Normal
-0.4
258
Normal
-0.4
744
Normal
-0.4
984
Normal
-0.4
477
Tumor
-0.4
262
Normal
-0.4
572
Normal
-0.4
956
Normal
-0.4
723
Tumor
-0.4
414
Normal
-0.4
114
Normal
-0.4
742
Normal
-0.4
616
Normal
-0.4
1014
Normal
-0.4
824
Normal
-0.4
341
Tumor
-0.4
722
Normal
-0.5
352
Normal
-0.5
1016
Normal
-0.5
728
Normal
-0.5
924
Normal
-0.5
232
Normal
-0.5
695
Tumor
-0.5
111
Normal
-0.5
721
Tumor
-0.5
922
Normal
-0.5
628
Normal
-0.5
272
Normal
-0.5
1026
Normal
-0.5
851
Tumor
-0.5
413
Tumor
-0.5
528
Normal
-0.5
488
Normal
-0.5
435
Tumor
-0.5
554
Normal
-0.5
171
Tumor
-0.5
925
Tumor
-0.5
944
Normal
-0.5
696
Normal
-0.5
231
Tumor
-0.5
911
Tumor
-0.5
148
Normal
-0.5
865
Tumor
-0.6
861
Tumor
-0.6
1031
Tumor
-0.6
727
Tumor
-0.6
332
Normal
-0.6
738
Normal
-0.6
162
Normal
-0.6
434
Normal
-0.6
112
Tumor
-0.6
978
Normal
-0.6
186
Normal
-0.6
568
Normal
-0.6
686
Normal
-0.6
714
Normal
-0.6
661
Tumor
-0.6
351
Tumor
-0.6
663
Tumor
-0.6
1021
Tumor
-0.6
411
Tumor
-0.7
952
Normal
-0.7
487
Tumor
-0.7
342
Normal
-0.7
128
Normal
-0.7
127
Tumor
-0.7
698
Normal
-0.7
497
Tumor
-0.7
533
Tumor
-0.8
357
Tumor
-0.8
567
Tumor
-0.8
966
Normal
-0.8
724
Normal
-0.8
951
Tumor
-0.9
955
Tumor
-0.9
267
Tumor
-0.9
1013
Tumor
-0.9
537
Tumor
-0.9
965
Tumor
-1.1
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
