We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
APCS is not prognostic in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
978.0
Number of samples
362
Samples
Sample
Description
TPM
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
4274.2
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
3944.4
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
3840.5
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
3820.8
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
3763.7
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
3560.7
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
3559.4
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
3438.1
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
3261.4
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
3206.2
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
3135.3
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
3091.0
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
3087.0
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
3080.8
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
3074.4
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
3024.5
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
3014.5
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
2978.1
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
2798.6
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
2767.2
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
2742.7
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
2674.5
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
2638.4
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
2630.5
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
2558.2
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
2545.9
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
2454.0
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
2370.9
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
2355.9
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
2353.2
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
2337.3
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
2335.3
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
2328.7
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
2317.7
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
2311.4
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
2282.7
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
2280.9
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
2279.0
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
2243.3
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
2239.7
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
2223.3
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
2212.8
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
2191.5
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
2179.9
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
2172.0
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
2165.3
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
2159.6
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
2038.8
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
2033.6
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
2009.5
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
2004.3
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
1987.4
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
1986.7
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
1984.0
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
1929.2
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
1915.6
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
1903.0
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
1884.2
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
1859.9
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1859.6
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
1856.2
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
1848.1
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
1801.7
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
1708.2
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
1704.6
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
1676.4
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
1653.0
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
1644.6
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
1597.3
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
1592.8
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
1517.3
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
1513.8
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
1513.3
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
1508.3
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
1501.3
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
1486.5
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1473.9
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
1471.6
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
1451.4
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
1418.7
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
1406.2
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
1400.9
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
1399.1
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
1382.4
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
1380.3
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
1380.3
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
1368.1
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
1364.9
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
1362.8
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
1362.2
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
1361.3
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
1359.5
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
1345.4
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
1327.2
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
1318.0
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
1314.0
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
1305.0
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
1303.5
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
1298.3
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
1269.6
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
1265.8
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
1261.5
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
1260.2
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
1231.9
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
1231.4
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
1228.6
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
1225.0
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
1219.7
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
1216.1
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
1189.2
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
1181.0
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
1179.1
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
1177.6
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
1176.9
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
1175.7
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
1168.5
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1151.6
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
1149.6
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
1147.8
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
1123.1
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
1122.7
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
1114.8
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
1114.4
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
1111.3
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
1107.1
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
1105.6
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
1085.2
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
1058.2
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
1056.4
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
1056.0
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
1043.8
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
1042.2
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
1031.7
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
1018.0
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
1009.9
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
1009.3
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
988.5
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
988.2
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
987.2
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
984.3
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
981.1
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
981.0
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
977.5
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
974.9
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
968.6
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
959.2
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
958.4
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
950.9
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
948.8
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
944.9
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
918.2
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
908.8
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
906.7
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
903.7
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
900.9
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
896.1
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
895.0
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
891.6
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
889.0
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
885.8
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
883.6
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
873.5
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
872.9
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
868.9
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
860.3
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
858.6
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
857.6
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
823.4
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
818.1
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
817.0
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
816.4
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
808.7
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
804.9
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
804.2
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
803.4
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
791.6
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
785.9
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
784.0
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
782.8
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
773.6
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
769.6
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
752.9
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
732.0
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
731.3
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
727.3
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
727.2
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
715.8
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
712.0
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
710.6
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
703.7
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
698.1
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
691.2
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
686.4
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
677.9
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
673.4
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
670.5
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
657.2
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
645.3
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
645.3
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
643.6
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
636.1
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
635.1
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
633.7
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
630.2
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
628.7
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
622.5
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
622.4
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
620.8
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
608.0
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
602.7
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
600.3
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
596.5
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
589.9
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
577.8
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
577.8
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
567.2
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
564.8
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
557.2
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
551.1
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
548.8
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
548.1
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
540.4
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
539.7
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
534.7
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
528.9
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
522.7
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
522.0
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
519.6
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
507.7
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
505.1
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
500.2
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
496.3
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
495.1
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
482.2
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
480.9
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
479.4
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
474.9
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
474.4
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
470.7
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
464.0
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
459.4
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
449.4
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
446.6
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
446.3
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
444.2
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
439.7
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
433.4
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
428.6
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
428.0
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
422.2
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
418.3
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
414.5
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
413.8
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
401.8
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
393.2
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
392.6
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
387.3
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
383.9
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
373.6
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
356.8
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
356.5
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
355.4
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
354.8
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
346.1
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
344.9
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
342.9
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
331.4
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
331.3
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
330.4
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
321.2
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
320.3
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
313.5
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
298.1
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
285.6
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
280.5
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
280.1
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
266.8
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
262.9
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
257.3
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
257.0
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
251.8
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
243.5
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
239.1
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
238.5
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
237.7
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
230.7
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
229.7
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
227.9
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
223.3
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
222.0
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
218.6
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
217.8
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
214.1
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
210.3
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
207.6
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
206.8
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
195.1
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
195.0
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
188.2
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
177.5
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
177.4
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
169.2
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
157.7
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
157.0
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
149.3
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
147.9
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
143.6
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
141.3
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
140.0
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
138.1
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
137.9
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
125.0
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
124.7
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
123.6
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
122.7
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
119.1
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
111.0
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
99.9
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
98.9
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
98.3
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
97.7
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
93.8
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
87.7
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
84.2
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
84.0
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
77.1
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
76.9
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
76.8
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
74.3
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
74.0
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
71.7
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
70.1
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
68.3
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
61.5
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
57.2
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
53.8
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
50.5
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
45.2
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
35.5
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
30.2
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
30.0
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
28.3
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
25.2
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
24.4
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
24.3
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
23.7
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
22.8
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
21.5
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
17.7
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
7.1
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
6.5
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
4.5
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
4.3
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
3.1
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
2.1
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
2.0
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1.9
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
1.9
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
1.5
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
1.2
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
0.8
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 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.
APCS 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 TPM
973.0
Number of samples
231
Samples
Sample
Description
TPM
DO45199
86 years, female, NA, stage:2, alive, 1350 days
4754.1
DO45115
81 years, male, NA, stage:2, alive, 840 days
4109.7
DO48672
81 years, male, NA, stage:2, alive, 450 days
3738.3
DO45092
62 years, male, NA, stage:4, dead, 1200 days
3443.9
DO45261
74 years, male, NA, stage:3, alive, 990 days
3436.4
DO23509
60 years, male, NA, stage:3, dead, 780 days
3374.9
DO45267
73 years, male, NA, stage:3, dead, 570 days
3346.3
DO50822
66 years, male, NA, stage:2, alive, 510 days
3145.3
DO48737
52 years, male, NA, stage:1, alive, 720 days
3144.3
DO45129
61 years, male, NA, stage:3, alive, 1470 days
3081.1
DO23518
67 years, male, NA, stage:2, alive, 1320 days
2952.6
DO45175
74 years, male, NA, stage:2, alive, 1140 days
2921.5
DO45131
53 years, male, NA, stage:4, dead, 360 days
2837.5
DO48704
68 years, female, NA, stage:3, alive, 750 days
2674.2
DO50857
72 years, male, NA, stage:2, alive, 210 days
2665.7
DO23551
73 years, male, NA, stage:3, dead, 150 days
2346.4
DO23549
74 years, male, NA, stage:3, alive, 990 days
2333.8
DO45281
83 years, male, NA, stage:4, alive, 750 days
2332.6
DO48716
71 years, male, NA, stage:2, alive, 720 days
2318.5
DO45197
51 years, male, NA, stage:2, alive, 1170 days
2231.6
DO45257
46 years, male, NA, stage:3, alive, 810 days
2153.4
DO23548
78 years, female, NA, stage:1, alive, 840 days
2047.9
DO48706
72 years, male, NA, stage:2, alive, 870 days
1972.3
DO45263
67 years, male, NA, stage:3, dead, 270 days
1949.2
DO45215
65 years, male, NA, stage:2, alive, 1170 days
1946.4
DO45167
67 years, male, NA, stage:2, dead, 1440 days
1926.1
DO48721
58 years, female, NA, stage:1, alive, 900 days
1913.3
DO50776
75 years, male, NA, stage:1, alive, 690 days
1910.3
DO45195
62 years, male, NA, stage:1, alive, 390 days
1890.8
DO23508
79 years, female, NA, stage:2, alive, 390 days
1860.8
DO48733
72 years, male, NA, stage:2, alive, 600 days
1833.9
DO48674
80 years, male, NA, stage:2, alive, 1260 days
1803.9
DO23541
65 years, male, NA, stage:2, alive, 930 days
1791.6
DO23511
83 years, female, NA, stage:3, dead, 180 days
1790.2
DO48717
54 years, male, NA, stage:4, dead, 180 days
1783.5
DO50774
68 years, female, NA, stage:2, alive, 720 days
1752.0
DO45113
58 years, male, NA, stage:3, alive, 1560 days
1751.9
DO45094
76 years, male, NA, stage:3, alive, 1650 days
1736.2
DO23542
66 years, male, NA, stage:3, alive, 960 days
1712.9
DO45103
47 years, male, NA, stage:3, alive, 450 days
1704.4
DO227801
77 years, female, NA, stage:1, alive, 660 days
1680.2
DO23524
71 years, female, NA, stage:2, alive, 1050 days
1677.5
DO23533
61 years, male, NA, stage:2, alive, 900 days
1676.9
DO227643
79 years, male, NA, stage:2, alive, 1260 days
1675.3
DO50789
73 years, female, NA, stage:2, alive, 570 days
1622.8
DO50783
62 years, male, NA, stage:3, alive, 480 days
1611.0
DO45163
76 years, male, NA, stage:2, alive, 960 days
1609.7
DO23539
77 years, male, NA, stage:1, alive, 1110 days
1592.5
DO50805
72 years, male, NA, stage:2, alive, 690 days
1585.8
DO50799
66 years, female, NA, stage:2, alive, 540 days
1515.1
DO23527
72 years, male, NA, stage:1, alive, 1050 days
1502.8
DO23544
67 years, male, NA, stage:2, alive, 960 days
1439.8
DO48693
71 years, male, NA, stage:2, alive, 900 days
1438.3
DO45177
81 years, female, NA, stage:3, alive, 1260 days
1437.9
DO50816
63 years, male, NA, stage:2, alive, 390 days
1428.5
DO50798
77 years, male, NA, stage:3, dead, 30 days
1426.2
DO50806
70 years, male, NA, stage:4, alive, 540 days
1412.4
DO50800
74 years, male, NA, stage:2, alive, 510 days
1343.6
DO50818
65 years, male, NA, stage:2, alive, 510 days
1332.1
DO45099
46 years, male, NA, stage:3, alive, 1590 days
1305.5
DO50825
70 years, male, NA, stage:2, alive, 390 days
1300.7
DO48679
72 years, male, NA, stage:2, alive, 1200 days
1284.1
DO45095
66 years, male, NA, stage:2, alive, 1620 days
1272.1
DO45171
56 years, male, NA, stage:3, alive, 600 days
1255.6
DO48760
70 years, female, NA, stage:2, alive, 690 days
1251.8
DO45119
74 years, male, NA, stage:3, dead, 510 days
1243.8
DO45141
73 years, male, NA, stage:2, alive, 1320 days
1230.4
DO45183
72 years, female, NA, stage:2, dead, 570 days
1213.5
DO50855
47 years, male, NA, stage:2, alive, 570 days
1209.7
DO50829
78 years, male, NA, stage:3, alive, 570 days
1190.1
DO50787
63 years, male, NA, stage:3, alive, 480 days
1153.4
DO45159
65 years, male, NA, stage:3, alive, 1470 days
1148.5
DO45091
56 years, male, NA, stage:2, dead, 1320 days
1060.5
DO45241
49 years, male, NA, stage:1, alive, 1080 days
1046.2
DO23521
63 years, male, NA, stage:3, alive, 1110 days
1042.0
DO45229
74 years, male, NA, stage:1, alive, 990 days
1036.6
DO50814
83 years, male, NA, stage:3, alive, 420 days
1030.1
DO48743
69 years, female, NA, stage:2, alive, 570 days
1015.3
DO45153
77 years, female, NA, stage:2, alive, 1380 days
1014.7
DO45273
62 years, male, NA, stage:2, alive, 480 days
1009.2
DO45191
61 years, female, NA, stage:2, alive, 1200 days
992.2
DO45239
42 years, male, NA, stage:2, alive, 870 days
988.3
DO48757
68 years, female, NA, stage:3, alive, 480 days
982.5
DO50845
72 years, male, NA, stage:3, alive, 210 days
975.9
DO23547
74 years, male, NA, stage:1, alive, 1020 days
975.3
DO23512
60 years, male, NA, stage:1, alive, 1260 days
970.6
DO48725
66 years, male, NA, stage:1, alive, 780 days
963.4
DO23543
63 years, male, NA, stage:2, alive, 1020 days
960.0
DO48719
80 years, male, NA, stage:2, alive, 690 days
959.7
DO50817
75 years, male, NA, stage:2, alive, 390 days
943.6
DO48723
73 years, male, NA, stage:1, alive, 600 days
941.7
DO45231
84 years, male, NA, stage:2, alive, 930 days
939.8
DO48701
78 years, male, NA, stage:2, alive, 780 days
935.9
DO50791
79 years, female, NA, stage:1, dead, 480 days
934.1
DO23545
67 years, male, NA, stage:2, dead, 570 days
929.4
DO48736
76 years, female, NA, stage:1, alive, 600 days
925.0
DO50813
56 years, male, NA, stage:2, alive, 420 days
924.4
DO45203
71 years, female, NA, stage:2, alive, 1170 days
915.5
DO45155
69 years, male, NA, stage:2, alive, 2160 days
910.9
DO23517
62 years, male, NA, stage:2, alive, 1200 days
904.3
DO45253
50 years, male, NA, stage:2, alive, 870 days
888.3
DO48681
57 years, male, NA, stage:2, alive, 900 days
872.7
DO45105
61 years, male, NA, stage:1, alive, 1680 days
839.1
DO48712
50 years, male, NA, stage:2, alive, 810 days
819.6
DO45227
57 years, female, NA, stage:2, alive, 1020 days
807.7
DO48741
64 years, male, NA, stage:3, alive, 240 days
807.6
DO48759
73 years, male, NA, stage:3, alive, 720 days
801.2
DO45165
75 years, male, NA, stage:2, alive, 690 days
794.2
DO45111
74 years, male, NA, stage:2, alive, 1590 days
792.2
DO23531
78 years, female, NA, stage:3, alive, 900 days
792.0
DO45201
49 years, male, NA, stage:1, alive, 900 days
769.6
DO45161
74 years, male, NA, stage:2, dead, 540 days
769.3
DO45265
73 years, male, NA, stage:3, alive, 1020 days
768.5
DO50859
77 years, male, NA, stage:2, alive, 180 days
766.8
DO48746
76 years, male, NA, stage:3, alive, 570 days
756.4
DO50803
62 years, female, NA, stage:1, alive, 540 days
742.2
DO45125
58 years, male, NA, stage:3, alive, 1680 days
740.6
DO45225
69 years, male, NA, stage:1, alive, 1050 days
738.1
DO45101
63 years, male, NA, stage:2, alive, 1680 days
722.2
DO48697
64 years, female, NA, stage:2, dead, 810 days
720.6
DO45223
67 years, male, NA, stage:4, alive, 1020 days
711.1
DO45133
64 years, male, NA, stage:3, dead, 660 days
707.0
DO48747
62 years, male, NA, stage:3, alive, 540 days
701.2
DO45305
66 years, male, NA, stage:4, alive, 300 days
696.0
DO45251
57 years, female, NA, stage:2, alive, 900 days
693.6
DO45283
60 years, male, NA, stage:3, alive, 510 days
690.4
DO45109
63 years, male, NA, stage:2, alive, 1590 days
688.8
DO48700
78 years, female, NA, stage:2, alive, 810 days
679.5
DO45233
83 years, male, NA, stage:3, alive, 900 days
677.6
DO23552
80 years, female, NA, stage:1, alive, 810 days
654.7
DO23525
71 years, male, NA, stage:4, alive, 1050 days
650.5
DO23510
80 years, female, NA, stage:2, alive, 870 days
643.6
DO45249
57 years, male, NA, stage:1, alive, 630 days
635.9
DO45121
61 years, male, NA, stage:3, alive, 1530 days
635.2
DO50832
73 years, male, NA, stage:3, alive, 90 days
622.3
DO45107
63 years, female, NA, stage:2, alive, 1710 days
621.4
DO23535
67 years, male, NA, stage:1, alive, 960 days
612.7
DO45135
77 years, male, NA, stage:1, alive, 1410 days
603.6
DO45181
84 years, female, NA, stage:2, alive, 1200 days
593.7
DO23534
60 years, male, NA, stage:2, alive, 840 days
588.1
DO23538
67 years, male, NA, stage:2, alive, 450 days
584.6
DO45179
78 years, female, NA, stage:2, alive, 600 days
580.8
DO48695
77 years, male, NA, stage:2, alive, 720 days
580.5
DO45237
58 years, male, NA, stage:2, alive, 900 days
569.5
DO45255
81 years, male, NA, stage:3, alive, 720 days
565.5
DO23513
76 years, male, NA, stage:3, alive, 1200 days
563.4
DO48761
55 years, male, NA, stage:2, alive, 870 days
557.2
DO50820
77 years, female, NA, stage:3, alive, 510 days
551.7
DO45157
62 years, male, NA, stage:2, alive, 1980 days
538.0
DO23529
72 years, male, NA, stage:4, alive, 930 days
536.8
DO50819
72 years, female, NA, stage:2, alive, 510 days
525.0
DO50802
49 years, male, NA, stage:2, alive, 930 days
520.9
DO45097
69 years, male, NA, stage:3, alive, 1620 days
511.6
DO23550
69 years, male, NA, stage:1, alive, 990 days
506.0
DO23514
64 years, male, NA, stage:2, alive, 1290 days
505.3
DO45096
69 years, male, NA, stage:2, dead, 1290 days
504.4
DO45169
74 years, male, NA, stage:3, alive, 1350 days
496.6
DO45145
78 years, male, NA, stage:3, dead, 60 days
485.5
DO45173
63 years, male, NA, stage:3, alive, 1170 days
485.1
DO45221
75 years, female, NA, stage:4, dead, 390 days
484.0
DO45235
68 years, female, NA, stage:1, alive, 900 days
483.7
DO50778
60 years, male, NA, stage:4, alive, 630 days
481.3
DO45303
62 years, female, NA, stage:3, alive, 990 days
479.1
DO45143
69 years, male, NA, stage:3, alive, 1290 days
478.4
DO45207
68 years, male, NA, stage:1, alive, 1050 days
449.2
DO48742
76 years, male, NA, stage:2, alive, 600 days
447.8
DO45213
58 years, male, NA, stage:1, alive, 1200 days
429.9
DO50809
56 years, male, NA, stage:3, dead, 720 days
397.2
DO50840
49 years, male, NA, stage:2, alive, 330 days
396.2
DO45139
63 years, male, NA, stage:3, alive, 1320 days
384.2
DO23516
69 years, male, NA, stage:3, dead, 20 days
382.0
DO23536
56 years, male, NA, stage:2, alive, 930 days
381.7
DO50839
47 years, female, NA, stage:3, alive, 330 days
380.3
DO45117
73 years, female, NA, stage:2, dead, 1110 days
374.7
DO45259
65 years, male, NA, stage:3, alive, 330 days
368.7
DO23526
66 years, male, NA, stage:3, alive, 1050 days
364.1
DO45123
78 years, female, NA, stage:2, dead, 570 days
360.7
DO23537
79 years, male, NA, stage:2, dead, 900 days
353.8
DO45219
78 years, male, NA, stage:2, alive, 1080 days
344.2
DO45187
32 years, female, NA, stage:1, alive, 1260 days
332.3
DO23546
63 years, male, NA, stage:2, alive, 1050 days
331.7
DO23530
53 years, male, NA, stage:4, dead, 180 days
324.9
DO48730
73 years, female, NA, stage:2, alive, 630 days
315.7
DO45149
70 years, female, NA, stage:2, alive, 1260 days
313.7
DO23540
73 years, male, NA, stage:1, alive, 750 days
311.9
DO48677
58 years, male, NA, stage:3, alive, 1140 days
302.4
DO45185
89 years, male, NA, stage:2, alive, 600 days
297.8
DO45289
78 years, female, NA, stage:3, alive, 360 days
278.2
DO50850
74 years, male, NA, stage:3, alive, 720 days
277.3
DO50807
67 years, male, NA, stage:1, alive, 540 days
275.4
DO45247
31 years, female, NA, stage:2, alive, 210 days
243.0
DO50793
76 years, male, NA, stage:4, alive, 540 days
236.0
DO48720
62 years, female, NA, stage:2, alive, 570 days
228.0
DO50808
68 years, male, NA, stage:2, alive, 570 days
207.5
DO48728
74 years, female, NA, stage:2, alive, 150 days
193.8
DO48715
58 years, female, NA, stage:2, dead, 690 days
183.7
DO48732
73 years, male, NA, stage:3, alive, 630 days
174.5
DO45285
59 years, male, NA, stage:3, alive, 480 days
169.7
DO45205
67 years, female, NA, stage:2, dead, 90 days
166.4
DO50804
81 years, male, NA, stage:2, alive, 720 days
160.5
DO45243
74 years, female, NA, stage:3, alive, 930 days
147.0
DO50811
62 years, male, NA, stage:1, alive, 450 days
146.0
DO45269
59 years, male, NA, stage:3, alive, 750 days
140.6
DO23532
71 years, female, NA, stage:1, alive, 960 days
140.4
DO45277
64 years, male, NA, stage:3, alive, 600 days
140.0
DO45275
65 years, male, NA, stage:3, dead, 10 days
136.3
DO45301
56 years, male, NA, stage:2, dead, 1440 days
134.7
DO45137
38 years, male, NA, stage:1, alive, 1320 days
88.7
DO48727
81 years, female, NA, stage:2, dead, 390 days
63.9
DO23519
65 years, male, NA, stage:3, alive, 630 days
57.2
DO45307
54 years, female, NA, stage:4, dead, 240 days
54.0
DO48682
72 years, female, NA, stage:3, dead, 120 days
44.4
DO45093
71 years, male, NA, stage:2, dead, 720 days
43.6
DO45279
67 years, male, NA, stage:3, alive, 1290 days
43.1
DO45287
74 years, male, NA, stage:1, alive, 390 days
35.2
DO50785
37 years, male, NA, stage:4, dead, 90 days
26.5
DO23528
45 years, female, NA, stage:2, alive, 1020 days
22.0
DO23515
71 years, male, NA, stage:2, alive, 1230 days
16.0
DO45209
70 years, male, NA, stage:4, alive, 1350 days
15.9
DO50844
75 years, male, NA, stage:4, alive, 300 days
11.5
DO45297
61 years, female, NA, stage:4, dead, 1260 days
3.1
DO48751
68 years, male, NA, stage:2, dead, 480 days
2.4
DO23523
52 years, male, NA, stage:3, alive, 1080 days
2.3
DO45189
85 years, female, NA, stage:2, alive, 1200 days
2.1
DO45245
75 years, female, NA, stage:2, dead, 240 days
2.0
DO45127
73 years, male, NA, stage:3, dead, 420 days
1.7
DO45299
70 years, female, NA, stage:1, alive, 1440 days
1.4
DO45193
68 years, female, NA, stage:4, dead, 120 days
1.1
DO45217
69 years, female, NA, stage:3, dead, 270 days
0.9
DO50815
62 years, male, NA, stage:3, alive, 150 days
0.6
DO45211
76 years, male, NA, stage:3, alive, 240 days
0.6
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
192
Normal
2.5
862
Normal
1.9
224
Normal
1.9
354
Normal
1.6
958
Normal
1.6
1044
Normal
1.5
384
Normal
1.3
392
Normal
1.3
394
Normal
1.2
268
Normal
1.1
742
Normal
1.1
922
Normal
1.1
124
Normal
1.1
186
Normal
1.0
976
Normal
1.0
218
Normal
0.9
716
Normal
0.9
146
Normal
0.9
451
Tumor
0.9
388
Normal
0.9
444
Normal
0.9
982
Normal
0.9
185
Tumor
0.9
672
Normal
0.9
884
Normal
0.9
558
Normal
0.9
636
Normal
0.8
448
Normal
0.8
818
Normal
0.8
852
Normal
0.8
352
Normal
0.8
494
Normal
0.8
574
Normal
0.7
864
Normal
0.7
422
Normal
0.7
918
Normal
0.7
366
Normal
0.7
474
Normal
0.7
516
Normal
0.7
111
Normal
0.7
662
Normal
0.7
524
Normal
0.7
262
Normal
0.7
664
Normal
0.7
926
Normal
0.6
327
Tumor
0.6
126
Normal
0.6
616
Normal
0.6
222
Normal
0.6
572
Normal
0.6
723
Tumor
0.6
536
Normal
0.6
697
Tumor
0.6
162
Normal
0.6
938
Normal
0.6
567
Tumor
0.6
1026
Normal
0.6
514
Normal
0.6
332
Normal
0.6
744
Normal
0.6
912
Normal
0.6
618
Normal
0.5
462
Normal
0.5
882
Normal
0.5
446
Normal
0.5
148
Normal
0.5
1022
Normal
0.5
286
Normal
0.5
823
Tumor
0.5
284
Normal
0.5
424
Normal
0.4
217
Tumor
0.4
538
Normal
0.4
232
Normal
0.4
228
Normal
0.4
142
Normal
0.4
666
Normal
0.4
916
Normal
0.4
866
Normal
0.4
814
Normal
0.4
628
Normal
0.4
432
Normal
0.4
564
Normal
0.4
484
Normal
0.4
188
Normal
0.4
978
Normal
0.4
816
Normal
0.4
461
Tumor
0.4
954
Normal
0.4
528
Normal
0.4
362
Normal
0.3
964
Normal
0.3
968
Normal
0.3
466
Normal
0.3
696
Normal
0.3
386
Normal
0.3
571
Tumor
0.3
568
Normal
0.3
526
Normal
0.3
944
Normal
0.3
858
Normal
0.3
456
Normal
0.3
482
Normal
0.3
196
Normal
0.3
426
Normal
0.3
492
Normal
0.2
414
Normal
0.2
368
Normal
0.2
464
Normal
0.2
344
Normal
0.2
214
Normal
0.2
212
Normal
0.2
358
Normal
0.2
223
Tumor
0.2
138
Normal
0.2
981
Tumor
0.2
132
Normal
0.2
868
Normal
0.1
452
Normal
0.1
642
Normal
0.1
396
Normal
0.1
756
Normal
0.1
272
Normal
0.1
412
Normal
0.1
1046
Normal
0.1
428
Normal
0.1
738
Normal
0.1
686
Normal
0.1
314
Normal
0.1
298
Normal
0.1
172
Normal
0.1
778
Normal
0.1
478
Normal
0.1
1028
Normal
0.1
786
Normal
0.1
472
Normal
0.1
924
Normal
0.1
258
Normal
0.1
364
Normal
0.1
914
Normal
0.1
436
Normal
0.1
136
Normal
0.0
1032
Normal
0.0
573
Tumor
0.0
874
Normal
0.0
824
Normal
0.0
713
Tumor
0.0
447
Tumor
0.0
488
Normal
0.0
518
Normal
0.0
698
Normal
0.0
434
Normal
0.0
328
Normal
0.0
415
Tumor
0.0
128
Normal
0.0
278
Normal
0.0
114
Normal
0.0
917
Tumor
0.0
746
Normal
0.0
1045
Tumor
0.0
383
Tumor
0.0
376
Normal
0.0
191
Tumor
0.0
416
Normal
-0.1
956
Normal
-0.1
785
Tumor
-0.1
714
Normal
-0.1
312
Normal
-0.1
975
Tumor
-0.1
648
Normal
-0.1
468
Normal
-0.1
487
Tumor
-0.1
355
Tumor
-0.1
722
Normal
-0.1
421
Tumor
-0.1
498
Normal
-0.1
1016
Normal
-0.1
342
Normal
-0.1
563
Tumor
-0.1
857
Tumor
-0.2
1015
Tumor
-0.2
817
Tumor
-0.2
534
Normal
-0.2
195
Tumor
-0.2
943
Tumor
-0.2
356
Normal
-0.2
728
Normal
-0.2
878
Normal
-0.2
1014
Normal
-0.2
545
Tumor
-0.2
141
Tumor
-0.2
515
Tumor
-0.2
984
Normal
-0.2
546
Normal
-0.2
525
Tumor
-0.2
353
Tumor
-0.3
557
Tumor
-0.3
483
Tumor
-0.3
627
Tumor
-0.3
966
Normal
-0.3
227
Tumor
-0.3
135
Tumor
-0.4
113
Tumor
-0.4
277
Tumor
-0.4
147
Tumor
-0.4
952
Normal
-0.4
1042
Normal
-0.4
813
Tumor
-0.4
361
Tumor
-0.4
161
Tumor
-0.5
257
Tumor
-0.5
145
Tumor
-0.5
467
Tumor
-0.5
695
Tumor
-0.5
1043
Tumor
-0.5
491
Tumor
-0.5
745
Tumor
-0.5
393
Tumor
-0.5
963
Tumor
-0.5
877
Tumor
-0.5
671
Tumor
-0.5
261
Tumor
-0.5
915
Tumor
-0.6
615
Tumor
-0.6
137
Tumor
-0.6
481
Tumor
-0.6
411
Tumor
-0.6
554
Normal
-0.6
433
Tumor
-0.6
513
Tumor
-0.6
297
Tumor
-0.6
221
Tumor
-0.6
187
Tumor
-0.6
343
Tumor
-0.6
523
Tumor
-0.6
724
Normal
-0.6
423
Tumor
-0.6
231
Tumor
-0.6
881
Tumor
-0.6
617
Tumor
-0.6
455
Tumor
-0.6
125
Tumor
-0.6
883
Tumor
-0.6
665
Tumor
-0.7
527
Tumor
-0.7
365
Tumor
-0.7
493
Tumor
-0.7
937
Tumor
-0.7
553
Tumor
-0.7
311
Tumor
-0.7
1021
Tumor
-0.8
533
Tumor
-0.8
267
Tumor
-0.8
285
Tumor
-0.8
213
Tumor
-0.8
537
Tumor
-0.8
641
Tumor
-0.8
861
Tumor
-0.8
913
Tumor
-0.8
271
Tumor
-0.9
391
Tumor
-0.9
465
Tumor
-0.9
431
Tumor
-0.9
867
Tumor
-0.9
413
Tumor
-0.9
1025
Tumor
-0.9
395
Tumor
-0.9
1013
Tumor
-0.9
127
Tumor
-1.0
955
Tumor
-1.0
1031
Tumor
-1.0
977
Tumor
-1.0
957
Tumor
-1.0
721
Tumor
-1.0
851
Tumor
-1.0
283
Tumor
-1.0
497
Tumor
-1.1
375
Tumor
-1.1
647
Tumor
-1.1
477
Tumor
-1.1
953
Tumor
-1.1
777
Tumor
-1.1
471
Tumor
-1.1
911
Tumor
-1.1
873
Tumor
-1.1
331
Tumor
-1.2
463
Tumor
-1.2
741
Tumor
-1.2
715
Tumor
-1.2
921
Tumor
-1.2
357
Tumor
-1.2
863
Tumor
-1.2
923
Tumor
-1.3
211
Tumor
-1.3
112
Tumor
-1.3
171
Tumor
-1.3
517
Tumor
-1.3
925
Tumor
-1.3
363
Tumor
-1.3
123
Tumor
-1.3
341
Tumor
-1.3
967
Tumor
-1.3
473
Tumor
-1.4
755
Tumor
-1.4
351
Tumor
-1.4
685
Tumor
-1.4
635
Tumor
-1.4
387
Tumor
-1.4
535
Tumor
-1.4
443
Tumor
-1.4
367
Tumor
-1.4
1041
Tumor
-1.5
663
Tumor
-1.5
131
Tumor
-1.5
385
Tumor
-1.5
983
Tumor
-1.6
427
Tumor
-1.6
435
Tumor
-1.6
313
Tumor
-1.6
815
Tumor
-1.7
727
Tumor
-1.7
445
Tumor
-1.7
737
Tumor
-1.8
743
Tumor
-1.8
865
Tumor
-1.9
425
Tumor
-1.9
1027
Tumor
-1.9
951
Tumor
-2.2
965
Tumor
-2.2
661
Tumor
-2.2
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
