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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.
A1BG 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
695.5
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
4134.6
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
3702.1
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
2814.6
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
2597.1
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
2519.7
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
2204.2
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
2183.4
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
2171.5
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
2031.1
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
2004.6
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
1993.2
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
1937.6
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
1900.6
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
1885.1
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
1871.4
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
1841.0
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
1827.2
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
1726.8
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
1658.2
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
1624.8
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
1618.7
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
1618.1
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
1611.3
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
1591.8
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
1585.5
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
1527.2
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
1521.1
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
1517.0
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
1503.3
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
1483.1
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
1464.5
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
1464.4
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
1462.7
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
1462.5
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
1455.2
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
1433.5
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
1418.1
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
1397.4
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
1394.4
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
1381.7
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
1380.7
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
1370.7
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
1354.4
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
1330.6
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
1308.7
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
1303.8
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
1303.7
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
1302.8
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
1277.7
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
1272.1
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
1267.6
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1267.3
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
1266.4
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
1266.0
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
1257.3
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
1256.0
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
1250.3
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
1238.2
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
1237.8
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
1230.5
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
1226.3
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
1221.1
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
1217.5
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
1211.6
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
1208.2
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
1202.1
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
1202.0
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
1184.0
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
1176.5
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
1168.3
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
1165.4
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
1152.5
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
1142.4
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
1139.4
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
1134.0
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
1128.8
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
1125.6
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1107.9
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
1101.1
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
1097.1
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
1096.3
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
1095.7
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
1091.1
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
1083.7
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
1083.5
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
1078.7
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
1071.0
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
1064.2
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
1057.0
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
1033.7
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
1033.6
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
1030.4
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
1018.2
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
1015.4
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
1011.1
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
1003.4
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
995.9
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
994.2
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
988.4
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
988.3
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
985.8
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
976.5
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
971.7
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
962.0
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
958.5
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
956.6
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
954.3
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
951.0
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
948.4
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
924.8
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
923.5
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
913.1
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
911.8
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
910.9
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
894.2
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
888.8
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
880.0
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
874.3
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
870.3
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
870.3
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
869.5
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
869.2
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
867.7
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
864.5
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
859.6
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
847.4
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
841.2
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
841.0
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
827.6
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
820.7
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
815.4
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
805.1
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
801.8
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
800.4
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
792.4
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
785.5
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
781.7
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
762.9
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
759.4
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
759.0
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
742.7
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
742.2
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
737.4
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
725.3
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
715.6
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
714.6
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
707.2
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
701.1
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
699.9
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
696.5
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
696.3
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
694.7
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
682.5
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
682.1
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
676.0
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
665.3
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
663.2
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
658.5
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
655.8
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
654.6
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
654.2
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
648.2
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
646.7
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
636.7
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
632.6
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
629.4
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
616.2
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
612.9
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
612.2
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
612.0
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
608.1
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
602.2
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
602.0
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
598.4
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
593.6
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
592.5
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
587.6
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
581.6
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
574.3
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
570.1
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
568.6
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
564.0
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
562.3
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
549.6
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
542.6
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
540.9
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
540.0
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
521.1
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
520.2
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
513.2
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
512.6
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
511.6
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
508.8
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
508.0
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
498.6
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
497.8
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
491.8
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
489.6
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
489.6
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
486.6
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
474.1
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
470.4
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
468.8
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
462.5
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
457.9
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
455.2
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
451.7
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
447.0
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
446.5
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
445.9
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
440.3
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
436.6
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
433.6
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
428.8
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
424.0
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
419.7
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
419.2
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
416.7
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
416.3
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
416.0
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
415.1
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
413.0
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
410.1
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
408.3
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
407.4
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
402.4
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
395.0
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
392.0
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
391.7
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
390.6
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
379.4
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
374.7
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
374.4
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
373.6
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
372.0
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
368.5
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
360.5
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
357.7
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
356.5
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
356.3
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
352.0
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
351.3
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
347.4
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
344.4
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
341.6
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
340.0
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
334.3
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
330.6
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
330.1
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
318.8
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
317.0
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
316.7
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
315.1
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
310.5
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
309.9
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
307.8
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
306.8
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
301.8
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
295.3
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
294.7
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
294.5
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
287.1
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
284.7
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
280.7
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
280.0
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
278.7
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
277.6
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
277.4
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
276.1
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
275.6
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
271.9
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
270.1
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
269.4
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
258.0
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
253.1
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
250.9
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
248.3
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
247.1
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
245.0
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
241.4
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
236.8
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
236.6
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
229.4
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
225.5
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
217.1
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
213.4
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
212.0
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
198.2
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
198.0
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
190.1
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
187.0
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
186.1
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
180.0
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
175.9
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
174.7
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
171.4
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
171.1
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
165.2
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
164.7
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
160.5
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
155.8
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
154.9
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
154.7
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
146.3
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
140.2
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
130.3
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
128.2
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
126.5
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
120.2
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
119.5
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
116.9
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
111.1
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
110.1
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
109.5
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
106.2
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
106.0
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
102.1
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
99.0
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
93.6
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
87.8
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
84.6
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
83.0
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
81.2
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
80.8
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
79.2
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
78.5
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
75.1
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
64.3
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
61.6
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
58.2
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
57.3
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
52.1
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
51.8
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
43.3
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
42.3
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
36.8
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
31.1
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
28.9
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
26.6
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
23.4
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
18.5
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
18.3
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
16.4
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
15.0
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
14.1
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
7.8
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
5.2
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
3.6
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
3.3
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
2.9
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
2.6
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
1.5
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
1.4
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
1.1
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
0.9
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
0.9
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
0.9
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
0.8
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
0.6
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
0.4
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
0.4
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 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.
A1BG 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
880.2
Number of samples
231
Samples
Sample
Description
pTPM
DO23538
67 years, male, NA, stage:2, alive, 450 days
3194.6
DO45099
46 years, male, NA, stage:3, alive, 1590 days
3190.3
DO23512
60 years, male, NA, stage:1, alive, 1260 days
3020.9
DO23527
72 years, male, NA, stage:1, alive, 1050 days
2853.3
DO45111
74 years, male, NA, stage:2, alive, 1590 days
2811.9
DO45207
68 years, male, NA, stage:1, alive, 1050 days
2705.2
DO23517
62 years, male, NA, stage:2, alive, 1200 days
2554.5
DO45109
63 years, male, NA, stage:2, alive, 1590 days
2504.0
DO50787
63 years, male, NA, stage:3, alive, 480 days
2460.2
DO45265
73 years, male, NA, stage:3, alive, 1020 days
2440.3
DO45094
76 years, male, NA, stage:3, alive, 1650 days
2353.3
DO50819
72 years, female, NA, stage:2, alive, 510 days
2342.0
DO45199
86 years, female, NA, stage:2, alive, 1350 days
2294.2
DO48760
70 years, female, NA, stage:2, alive, 690 days
2251.7
DO23550
69 years, male, NA, stage:1, alive, 990 days
2236.5
DO45125
58 years, male, NA, stage:3, alive, 1680 days
2058.8
DO45227
57 years, female, NA, stage:2, alive, 1020 days
2052.6
DO23544
67 years, male, NA, stage:2, alive, 960 days
2046.1
DO45215
65 years, male, NA, stage:2, alive, 1170 days
2036.0
DO50818
65 years, male, NA, stage:2, alive, 510 days
1943.0
DO45107
63 years, female, NA, stage:2, alive, 1710 days
1929.6
DO45143
69 years, male, NA, stage:3, alive, 1290 days
1915.8
DO227643
79 years, male, NA, stage:2, alive, 1260 days
1905.9
DO45137
38 years, male, NA, stage:1, alive, 1320 days
1894.1
DO45173
63 years, male, NA, stage:3, alive, 1170 days
1889.7
DO45167
67 years, male, NA, stage:2, dead, 1440 days
1871.4
DO48674
80 years, male, NA, stage:2, alive, 1260 days
1866.1
DO50807
67 years, male, NA, stage:1, alive, 540 days
1836.2
DO23534
60 years, male, NA, stage:2, alive, 840 days
1835.8
DO48693
71 years, male, NA, stage:2, alive, 900 days
1773.9
DO48751
68 years, male, NA, stage:2, dead, 480 days
1767.6
DO50789
73 years, female, NA, stage:2, alive, 570 days
1755.4
DO48725
66 years, male, NA, stage:1, alive, 780 days
1750.5
DO23532
71 years, female, NA, stage:1, alive, 960 days
1735.6
DO45239
42 years, male, NA, stage:2, alive, 870 days
1720.0
DO48742
76 years, male, NA, stage:2, alive, 600 days
1717.1
DO45181
84 years, female, NA, stage:2, alive, 1200 days
1670.1
DO45101
63 years, male, NA, stage:2, alive, 1680 days
1645.5
DO45261
74 years, male, NA, stage:3, alive, 990 days
1628.1
DO50850
74 years, male, NA, stage:3, alive, 720 days
1611.0
DO45096
69 years, male, NA, stage:2, dead, 1290 days
1583.0
DO50776
75 years, male, NA, stage:1, alive, 690 days
1535.2
DO45241
49 years, male, NA, stage:1, alive, 1080 days
1517.6
DO45091
56 years, male, NA, stage:2, dead, 1320 days
1512.6
DO23531
78 years, female, NA, stage:3, alive, 900 days
1453.0
DO23511
83 years, female, NA, stage:3, dead, 180 days
1405.7
DO45159
65 years, male, NA, stage:3, alive, 1470 days
1387.8
DO45113
58 years, male, NA, stage:3, alive, 1560 days
1385.0
DO45179
78 years, female, NA, stage:2, alive, 600 days
1382.5
DO45183
72 years, female, NA, stage:2, dead, 570 days
1379.3
DO48761
55 years, male, NA, stage:2, alive, 870 days
1370.8
DO50804
81 years, male, NA, stage:2, alive, 720 days
1353.3
DO227801
77 years, female, NA, stage:1, alive, 660 days
1341.8
DO45129
61 years, male, NA, stage:3, alive, 1470 days
1336.9
DO50857
72 years, male, NA, stage:2, alive, 210 days
1333.7
DO45243
74 years, female, NA, stage:3, alive, 930 days
1323.9
DO48721
58 years, female, NA, stage:1, alive, 900 days
1302.5
DO48757
68 years, female, NA, stage:3, alive, 480 days
1274.5
DO50813
56 years, male, NA, stage:2, alive, 420 days
1272.4
DO45195
62 years, male, NA, stage:1, alive, 390 days
1264.5
DO45229
74 years, male, NA, stage:1, alive, 990 days
1261.3
DO50822
66 years, male, NA, stage:2, alive, 510 days
1258.4
DO48677
58 years, male, NA, stage:3, alive, 1140 days
1221.0
DO45213
58 years, male, NA, stage:1, alive, 1200 days
1207.7
DO50839
47 years, female, NA, stage:3, alive, 330 days
1195.0
DO50816
63 years, male, NA, stage:2, alive, 390 days
1168.8
DO50811
62 years, male, NA, stage:1, alive, 450 days
1157.0
DO48743
69 years, female, NA, stage:2, alive, 570 days
1155.0
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1150.9
DO50820
77 years, female, NA, stage:3, alive, 510 days
1118.2
DO50802
49 years, male, NA, stage:2, alive, 930 days
1114.7
DO45231
84 years, male, NA, stage:2, alive, 930 days
1093.0
DO23518
67 years, male, NA, stage:2, alive, 1320 days
1069.4
DO48746
76 years, male, NA, stage:3, alive, 570 days
1067.5
DO45141
73 years, male, NA, stage:2, alive, 1320 days
1065.2
DO48730
73 years, female, NA, stage:2, alive, 630 days
1061.9
DO45169
74 years, male, NA, stage:3, alive, 1350 days
1056.1
DO23548
78 years, female, NA, stage:1, alive, 840 days
1032.9
DO45131
53 years, male, NA, stage:4, dead, 360 days
1023.1
DO45097
69 years, male, NA, stage:3, alive, 1620 days
1022.8
DO45257
46 years, male, NA, stage:3, alive, 810 days
1018.9
DO23536
56 years, male, NA, stage:2, alive, 930 days
1009.6
DO45149
70 years, female, NA, stage:2, alive, 1260 days
1000.2
DO45219
78 years, male, NA, stage:2, alive, 1080 days
979.6
DO50805
72 years, male, NA, stage:2, alive, 690 days
977.1
DO23516
69 years, male, NA, stage:3, dead, 20 days
961.5
DO45092
62 years, male, NA, stage:4, dead, 1200 days
953.6
DO45177
81 years, female, NA, stage:3, alive, 1260 days
950.5
DO45191
61 years, female, NA, stage:2, alive, 1200 days
946.5
DO45201
49 years, male, NA, stage:1, alive, 900 days
945.9
DO23543
63 years, male, NA, stage:2, alive, 1020 days
911.3
DO45281
83 years, male, NA, stage:4, alive, 750 days
909.6
DO45255
81 years, male, NA, stage:3, alive, 720 days
900.5
DO23510
80 years, female, NA, stage:2, alive, 870 days
897.0
DO23546
63 years, male, NA, stage:2, alive, 1050 days
887.3
DO48727
81 years, female, NA, stage:2, dead, 390 days
885.6
DO45233
83 years, male, NA, stage:3, alive, 900 days
876.0
DO50800
74 years, male, NA, stage:2, alive, 510 days
860.9
DO48759
73 years, male, NA, stage:3, alive, 720 days
850.4
DO23551
73 years, male, NA, stage:3, dead, 150 days
842.4
DO45133
64 years, male, NA, stage:3, dead, 660 days
841.5
DO45163
76 years, male, NA, stage:2, alive, 960 days
836.6
DO45221
75 years, female, NA, stage:4, dead, 390 days
815.2
DO45269
59 years, male, NA, stage:3, alive, 750 days
815.0
DO50840
49 years, male, NA, stage:2, alive, 330 days
813.8
DO45157
62 years, male, NA, stage:2, alive, 1980 days
808.8
DO45105
61 years, male, NA, stage:1, alive, 1680 days
800.9
DO48737
52 years, male, NA, stage:1, alive, 720 days
782.7
DO48733
72 years, male, NA, stage:2, alive, 600 days
770.3
DO50783
62 years, male, NA, stage:3, alive, 480 days
767.1
DO45153
77 years, female, NA, stage:2, alive, 1380 days
762.0
DO48682
72 years, female, NA, stage:3, dead, 120 days
760.7
DO45115
81 years, male, NA, stage:2, alive, 840 days
759.6
DO23545
67 years, male, NA, stage:2, dead, 570 days
755.0
DO23535
67 years, male, NA, stage:1, alive, 960 days
748.7
DO45223
67 years, male, NA, stage:4, alive, 1020 days
745.4
DO48706
72 years, male, NA, stage:2, alive, 870 days
742.4
DO50844
75 years, male, NA, stage:4, alive, 300 days
732.0
DO45203
71 years, female, NA, stage:2, alive, 1170 days
724.3
DO45095
66 years, male, NA, stage:2, alive, 1620 days
709.1
DO45103
47 years, male, NA, stage:3, alive, 450 days
691.5
DO48716
71 years, male, NA, stage:2, alive, 720 days
669.1
DO50814
83 years, male, NA, stage:3, alive, 420 days
654.2
DO45187
32 years, female, NA, stage:1, alive, 1260 days
650.6
DO48715
58 years, female, NA, stage:2, dead, 690 days
645.6
DO50845
72 years, male, NA, stage:3, alive, 210 days
633.8
DO45165
75 years, male, NA, stage:2, alive, 690 days
633.6
DO45117
73 years, female, NA, stage:2, dead, 1110 days
621.6
DO50793
76 years, male, NA, stage:4, alive, 540 days
620.8
DO50808
68 years, male, NA, stage:2, alive, 570 days
614.8
DO45235
68 years, female, NA, stage:1, alive, 900 days
612.2
DO50774
68 years, female, NA, stage:2, alive, 720 days
606.7
DO45217
69 years, female, NA, stage:3, dead, 270 days
603.0
DO48695
77 years, male, NA, stage:2, alive, 720 days
602.5
DO45123
78 years, female, NA, stage:2, dead, 570 days
600.1
DO48701
78 years, male, NA, stage:2, alive, 780 days
598.8
DO48697
64 years, female, NA, stage:2, dead, 810 days
598.0
DO50806
70 years, male, NA, stage:4, alive, 540 days
592.8
DO50799
66 years, female, NA, stage:2, alive, 540 days
585.0
DO50859
77 years, male, NA, stage:2, alive, 180 days
583.1
DO48704
68 years, female, NA, stage:3, alive, 750 days
566.3
DO45237
58 years, male, NA, stage:2, alive, 900 days
560.5
DO50809
56 years, male, NA, stage:3, dead, 720 days
552.8
DO45121
61 years, male, NA, stage:3, alive, 1530 days
547.9
DO50803
62 years, female, NA, stage:1, alive, 540 days
546.9
DO48681
57 years, male, NA, stage:2, alive, 900 days
541.1
DO45197
51 years, male, NA, stage:2, alive, 1170 days
536.8
DO45193
68 years, female, NA, stage:4, dead, 120 days
530.2
DO48700
78 years, female, NA, stage:2, alive, 810 days
524.3
DO23537
79 years, male, NA, stage:2, dead, 900 days
521.0
DO50825
70 years, male, NA, stage:2, alive, 390 days
504.8
DO45273
62 years, male, NA, stage:2, alive, 480 days
487.6
DO23540
73 years, male, NA, stage:1, alive, 750 days
482.2
DO23529
72 years, male, NA, stage:4, alive, 930 days
473.6
DO23508
79 years, female, NA, stage:2, alive, 390 days
461.4
DO48712
50 years, male, NA, stage:2, alive, 810 days
455.9
DO45263
67 years, male, NA, stage:3, dead, 270 days
446.4
DO50798
77 years, male, NA, stage:3, dead, 30 days
436.8
DO45175
74 years, male, NA, stage:2, alive, 1140 days
430.3
DO48728
74 years, female, NA, stage:2, alive, 150 days
427.6
DO50832
73 years, male, NA, stage:3, alive, 90 days
423.0
DO48679
72 years, male, NA, stage:2, alive, 1200 days
421.6
DO45247
31 years, female, NA, stage:2, alive, 210 days
420.9
DO45161
74 years, male, NA, stage:2, dead, 540 days
418.4
DO50785
37 years, male, NA, stage:4, dead, 90 days
415.0
DO48719
80 years, male, NA, stage:2, alive, 690 days
390.6
DO23528
45 years, female, NA, stage:2, alive, 1020 days
377.8
DO23539
77 years, male, NA, stage:1, alive, 1110 days
366.1
DO23541
65 years, male, NA, stage:2, alive, 930 days
355.3
DO45155
69 years, male, NA, stage:2, alive, 2160 days
353.5
DO45225
69 years, male, NA, stage:1, alive, 1050 days
335.9
DO48720
62 years, female, NA, stage:2, alive, 570 days
335.2
DO50815
62 years, male, NA, stage:3, alive, 150 days
330.2
DO50817
75 years, male, NA, stage:2, alive, 390 days
316.3
DO50791
79 years, female, NA, stage:1, dead, 480 days
316.0
DO50855
47 years, male, NA, stage:2, alive, 570 days
312.0
DO48723
73 years, male, NA, stage:1, alive, 600 days
308.3
DO23514
64 years, male, NA, stage:2, alive, 1290 days
293.0
DO23530
53 years, male, NA, stage:4, dead, 180 days
282.5
DO45135
77 years, male, NA, stage:1, alive, 1410 days
273.9
DO48741
64 years, male, NA, stage:3, alive, 240 days
271.2
DO23552
80 years, female, NA, stage:1, alive, 810 days
265.5
DO48736
76 years, female, NA, stage:1, alive, 600 days
256.8
DO23509
60 years, male, NA, stage:3, dead, 780 days
235.8
DO23515
71 years, male, NA, stage:2, alive, 1230 days
231.3
DO23542
66 years, male, NA, stage:3, alive, 960 days
230.3
DO45253
50 years, male, NA, stage:2, alive, 870 days
214.3
DO23549
74 years, male, NA, stage:3, alive, 990 days
169.7
DO45093
71 years, male, NA, stage:2, dead, 720 days
167.8
DO23524
71 years, female, NA, stage:2, alive, 1050 days
167.0
DO45249
57 years, male, NA, stage:1, alive, 630 days
157.8
DO23547
74 years, male, NA, stage:1, alive, 1020 days
154.0
DO45251
57 years, female, NA, stage:2, alive, 900 days
151.5
DO45209
70 years, male, NA, stage:4, alive, 1350 days
150.4
DO23526
66 years, male, NA, stage:3, alive, 1050 days
144.9
DO45171
56 years, male, NA, stage:3, alive, 600 days
129.5
DO45119
74 years, male, NA, stage:3, dead, 510 days
128.6
DO45139
63 years, male, NA, stage:3, alive, 1320 days
124.3
DO50778
60 years, male, NA, stage:4, alive, 630 days
119.7
DO23533
61 years, male, NA, stage:2, alive, 900 days
111.6
DO48672
81 years, male, NA, stage:2, alive, 450 days
107.7
DO50829
78 years, male, NA, stage:3, alive, 570 days
105.1
DO48717
54 years, male, NA, stage:4, dead, 180 days
104.0
DO45127
73 years, male, NA, stage:3, dead, 420 days
88.0
DO45185
89 years, male, NA, stage:2, alive, 600 days
74.3
DO45259
65 years, male, NA, stage:3, alive, 330 days
70.7
DO48732
73 years, male, NA, stage:3, alive, 630 days
62.8
DO45301
56 years, male, NA, stage:2, dead, 1440 days
59.7
DO45267
73 years, male, NA, stage:3, dead, 570 days
40.4
DO45305
66 years, male, NA, stage:4, alive, 300 days
31.7
DO45283
60 years, male, NA, stage:3, alive, 510 days
25.0
DO45287
74 years, male, NA, stage:1, alive, 390 days
20.4
DO23513
76 years, male, NA, stage:3, alive, 1200 days
16.4
DO23523
52 years, male, NA, stage:3, alive, 1080 days
13.8
DO48747
62 years, male, NA, stage:3, alive, 540 days
10.0
DO45205
67 years, female, NA, stage:2, dead, 90 days
9.6
DO23521
63 years, male, NA, stage:3, alive, 1110 days
9.0
DO45145
78 years, male, NA, stage:3, dead, 60 days
8.7
DO45277
64 years, male, NA, stage:3, alive, 600 days
8.5
DO45279
67 years, male, NA, stage:3, alive, 1290 days
7.9
DO23519
65 years, male, NA, stage:3, alive, 630 days
7.3
DO45285
59 years, male, NA, stage:3, alive, 480 days
6.5
DO45189
85 years, female, NA, stage:2, alive, 1200 days
5.0
DO45289
78 years, female, NA, stage:3, alive, 360 days
4.6
DO45297
61 years, female, NA, stage:4, dead, 1260 days
4.5
DO45245
75 years, female, NA, stage:2, dead, 240 days
3.9
DO45275
65 years, male, NA, stage:3, dead, 10 days
3.2
DO45307
54 years, female, NA, stage:4, dead, 240 days
3.2
DO45303
62 years, female, NA, stage:3, alive, 990 days
2.9
DO45211
76 years, male, NA, stage:3, alive, 240 days
1.5
DO45299
70 years, female, NA, stage:1, alive, 1440 days
0.7
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
863
Tumor
1.7
343
Tumor
1.5
877
Tumor
1.5
425
Tumor
1.2
192
Normal
0.8
112
Tumor
0.8
1045
Tumor
0.8
224
Normal
0.7
615
Tumor
0.7
815
Tumor
0.7
517
Tumor
0.7
671
Tumor
0.6
515
Tumor
0.6
354
Normal
0.6
391
Tumor
0.6
445
Tumor
0.6
857
Tumor
0.6
433
Tumor
0.6
727
Tumor
0.5
452
Normal
0.5
283
Tumor
0.5
342
Normal
0.5
358
Normal
0.5
636
Normal
0.5
142
Normal
0.5
785
Tumor
0.5
444
Normal
0.5
618
Normal
0.4
665
Tumor
0.4
672
Normal
0.4
737
Tumor
0.4
616
Normal
0.4
384
Normal
0.4
642
Normal
0.4
817
Tumor
0.4
344
Normal
0.4
1015
Tumor
0.4
217
Tumor
0.4
375
Tumor
0.4
365
Tumor
0.4
368
Normal
0.4
426
Normal
0.4
746
Normal
0.4
635
Tumor
0.4
392
Normal
0.4
414
Normal
0.4
568
Normal
0.4
648
Normal
0.4
332
Normal
0.3
286
Normal
0.3
564
Normal
0.3
813
Tumor
0.3
884
Normal
0.3
574
Normal
0.3
627
Tumor
0.3
558
Normal
0.3
186
Normal
0.3
713
Tumor
0.3
138
Normal
0.3
126
Normal
0.3
228
Normal
0.3
424
Normal
0.3
464
Normal
0.3
284
Normal
0.3
314
Normal
0.3
728
Normal
0.3
744
Normal
0.3
132
Normal
0.3
218
Normal
0.3
232
Normal
0.3
367
Tumor
0.3
393
Tumor
0.3
124
Normal
0.3
432
Normal
0.3
185
Tumor
0.3
1022
Normal
0.3
113
Tumor
0.3
864
Normal
0.3
312
Normal
0.3
394
Normal
0.3
878
Normal
0.2
778
Normal
0.2
222
Normal
0.2
666
Normal
0.2
723
Tumor
0.2
114
Normal
0.2
423
Tumor
0.2
456
Normal
0.2
341
Tumor
0.2
563
Tumor
0.2
196
Normal
0.2
111
Normal
0.2
428
Normal
0.2
396
Normal
0.2
434
Normal
0.2
386
Normal
0.2
376
Normal
0.2
956
Normal
0.2
261
Tumor
0.2
881
Tumor
0.2
223
Tumor
0.2
214
Normal
0.2
738
Normal
0.2
146
Normal
0.2
353
Tumor
0.2
628
Normal
0.2
858
Normal
0.2
742
Normal
0.2
1046
Normal
0.2
188
Normal
0.2
141
Tumor
0.2
722
Normal
0.2
818
Normal
0.2
777
Tumor
0.2
982
Normal
0.2
866
Normal
0.2
968
Normal
0.2
352
Normal
0.2
921
Tumor
0.2
481
Tumor
0.2
258
Normal
0.2
664
Normal
0.2
1044
Normal
0.2
136
Normal
0.2
468
Normal
0.2
526
Normal
0.2
662
Normal
0.2
958
Normal
0.2
536
Normal
0.2
852
Normal
0.2
572
Normal
0.1
422
Normal
0.1
364
Normal
0.1
914
Normal
0.1
924
Normal
0.1
915
Tumor
0.1
756
Normal
0.1
1026
Normal
0.1
967
Tumor
0.1
1041
Tumor
0.1
446
Normal
0.1
686
Normal
0.1
696
Normal
0.1
462
Normal
0.1
278
Normal
0.1
466
Normal
0.1
816
Normal
0.1
448
Normal
0.1
514
Normal
0.1
851
Tumor
0.1
191
Tumor
0.1
388
Normal
0.1
145
Tumor
0.1
277
Tumor
0.1
1028
Normal
0.1
262
Normal
0.1
567
Tumor
0.1
162
Normal
0.1
366
Normal
0.1
416
Normal
0.1
938
Normal
0.1
882
Normal
0.1
617
Tumor
0.1
172
Normal
0.1
966
Normal
0.1
268
Normal
0.1
975
Tumor
0.1
518
Normal
0.1
1016
Normal
0.1
516
Normal
0.1
212
Normal
0.1
916
Normal
0.1
455
Tumor
0.1
546
Normal
0.1
148
Normal
0.1
954
Normal
0.1
328
Normal
0.1
421
Tumor
0.1
862
Normal
0.1
1025
Tumor
0.1
297
Tumor
0.0
874
Normal
0.0
125
Tumor
0.0
474
Normal
0.0
981
Tumor
0.0
461
Tumor
0.0
955
Tumor
0.0
488
Normal
0.0
714
Normal
0.0
538
Normal
0.0
868
Normal
0.0
272
Normal
0.0
435
Tumor
0.0
137
Tumor
0.0
356
Normal
0.0
362
Normal
0.0
498
Normal
0.0
195
Tumor
0.0
363
Tumor
0.0
327
Tumor
0.0
128
Normal
0.0
436
Normal
0.0
285
Tumor
0.0
298
Normal
0.0
814
Normal
0.0
912
Normal
0.0
786
Normal
0.0
523
Tumor
0.0
447
Tumor
0.0
528
Normal
0.0
513
Tumor
0.0
922
Normal
0.0
573
Tumor
0.0
494
Normal
0.0
721
Tumor
0.0
472
Normal
0.0
535
Tumor
0.0
641
Tumor
0.0
952
Normal
0.0
147
Tumor
0.0
918
Normal
-0.1
395
Tumor
-0.1
213
Tumor
-0.1
926
Normal
-0.1
745
Tumor
-0.1
361
Tumor
-0.1
412
Normal
-0.1
524
Normal
-0.1
135
Tumor
-0.1
695
Tumor
-0.1
491
Tumor
-0.1
431
Tumor
-0.1
311
Tumor
-0.1
716
Normal
-0.1
698
Normal
-0.1
1042
Normal
-0.1
824
Normal
-0.1
964
Normal
-0.1
271
Tumor
-0.1
1032
Normal
-0.1
743
Tumor
-0.1
187
Tumor
-0.1
917
Tumor
-0.1
492
Normal
-0.1
482
Normal
-0.1
557
Tumor
-0.1
883
Tumor
-0.1
383
Tumor
-0.1
554
Normal
-0.2
951
Tumor
-0.2
697
Tumor
-0.2
571
Tumor
-0.2
647
Tumor
-0.2
451
Tumor
-0.2
471
Tumor
-0.2
976
Normal
-0.2
873
Tumor
-0.2
944
Normal
-0.2
127
Tumor
-0.2
357
Tumor
-0.2
1021
Tumor
-0.2
227
Tumor
-0.2
978
Normal
-0.2
267
Tumor
-0.2
977
Tumor
-0.2
331
Tumor
-0.2
663
Tumor
-0.2
553
Tumor
-0.2
741
Tumor
-0.2
983
Tumor
-0.2
963
Tumor
-0.2
415
Tumor
-0.2
465
Tumor
-0.2
484
Normal
-0.3
443
Tumor
-0.3
984
Normal
-0.3
823
Tumor
-0.3
867
Tumor
-0.3
467
Tumor
-0.3
1043
Tumor
-0.3
953
Tumor
-0.3
1014
Normal
-0.3
913
Tumor
-0.3
937
Tumor
-0.3
911
Tumor
-0.3
527
Tumor
-0.3
755
Tumor
-0.3
413
Tumor
-0.3
478
Normal
-0.3
463
Tumor
-0.3
221
Tumor
-0.3
131
Tumor
-0.3
545
Tumor
-0.3
351
Tumor
-0.4
534
Normal
-0.4
385
Tumor
-0.4
387
Tumor
-0.4
525
Tumor
-0.4
685
Tumor
-0.4
123
Tumor
-0.4
965
Tumor
-0.4
477
Tumor
-0.5
161
Tumor
-0.5
231
Tumor
-0.5
487
Tumor
-0.5
1027
Tumor
-0.5
497
Tumor
-0.5
923
Tumor
-0.5
313
Tumor
-0.5
355
Tumor
-0.5
661
Tumor
-0.5
483
Tumor
-0.6
861
Tumor
-0.6
411
Tumor
-0.6
257
Tumor
-0.6
724
Normal
-0.6
715
Tumor
-0.6
865
Tumor
-0.7
171
Tumor
-0.7
943
Tumor
-0.8
427
Tumor
-0.8
925
Tumor
-0.8
211
Tumor
-0.8
537
Tumor
-0.8
493
Tumor
-0.8
1031
Tumor
-0.9
1013
Tumor
-1.1
957
Tumor
-1.1
473
Tumor
-1.2
533
Tumor
-1.2
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
