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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.
CD74 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
1140.2
Number of samples
362
Samples
Sample
Description
TPM
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
10311.9
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
9080.3
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
7831.1
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
6585.8
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
5856.8
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
5832.9
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
5480.9
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
5309.2
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
5161.9
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
4906.0
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
4540.2
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
4517.5
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
4414.5
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
4259.2
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
4237.9
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
4165.0
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
3738.7
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
3728.1
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
3712.7
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
3706.6
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
3482.4
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
3444.6
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
3357.2
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
3274.7
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
3029.5
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
3009.5
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
2989.4
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
2904.1
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
2794.7
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
2645.6
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
2632.5
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
2614.8
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
2543.2
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
2533.3
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
2525.1
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
2499.8
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
2438.1
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
2361.2
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
2356.1
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
2257.9
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
2250.3
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
2219.9
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
2168.1
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
2157.0
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
2150.8
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
2135.0
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
2127.0
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
2123.4
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
2102.3
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
2072.0
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
2070.9
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
2040.8
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
1999.0
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
1963.6
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1880.5
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
1877.5
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
1874.0
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
1871.8
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
1858.8
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
1837.5
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
1765.9
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
1731.0
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
1712.2
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
1703.6
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
1691.7
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
1663.3
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
1660.7
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
1649.0
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1628.8
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
1625.6
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
1604.7
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
1602.4
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1579.8
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
1524.4
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
1509.3
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
1502.8
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
1491.6
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1491.6
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
1484.9
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
1478.4
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
1442.7
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1440.6
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
1424.3
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
1411.9
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
1397.1
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
1396.7
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
1395.1
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
1393.8
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
1378.9
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
1369.0
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
1366.9
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
1358.7
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
1347.7
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
1336.3
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
1327.9
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1322.5
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
1315.7
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
1311.6
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
1291.2
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
1272.2
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
1266.7
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
1262.5
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
1253.2
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
1247.7
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
1247.1
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
1242.1
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
1228.1
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
1204.9
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
1191.7
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
1184.6
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
1182.6
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
1172.0
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
1157.4
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
1146.8
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
1142.5
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
1121.3
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
1109.8
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
1104.0
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
1098.3
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1090.7
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
1079.2
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
1073.6
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
1072.1
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
1064.7
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
1062.0
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
1043.0
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
1039.1
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
1038.5
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
1037.0
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
1035.4
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
1030.6
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
1013.6
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
1008.9
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
1004.2
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
999.8
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
988.2
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
987.6
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
979.8
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
970.6
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
956.1
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
953.9
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
931.0
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
930.5
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
929.4
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
928.7
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
923.2
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
922.0
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
916.7
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
915.6
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
906.9
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
883.1
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
880.7
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
876.2
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
875.2
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
874.6
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
874.1
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
863.8
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
862.4
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
854.7
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
852.7
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
850.6
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
847.8
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
847.0
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
817.1
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
810.4
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
808.5
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
807.9
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
792.7
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
782.9
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
778.9
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
761.5
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
749.3
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
748.2
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
741.0
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
739.9
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
732.8
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
730.0
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
726.7
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
724.8
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
723.9
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
721.0
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
718.9
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
718.2
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
717.7
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
717.6
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
716.9
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
716.3
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
707.7
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
706.1
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
701.0
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
699.8
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
695.1
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
689.9
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
688.9
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
688.0
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
687.2
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
681.0
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
680.9
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
678.7
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
675.3
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
669.9
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
669.6
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
664.6
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
659.3
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
657.1
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
656.1
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
648.9
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
642.6
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
639.7
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
630.4
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
627.8
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
625.8
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
622.9
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
618.6
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
614.1
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
609.5
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
599.7
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
597.3
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
594.0
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
589.7
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
586.0
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
579.0
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
574.5
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
574.1
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
566.6
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
559.4
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
558.1
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
557.9
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
551.0
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
545.8
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
535.4
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
528.1
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
526.3
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
525.2
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
519.4
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
518.6
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
517.7
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
513.7
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
511.1
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
484.5
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
482.2
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
479.9
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
476.6
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
468.2
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
466.1
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
462.5
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
455.7
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
455.4
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
452.7
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
442.9
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
442.0
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
440.4
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
428.9
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
427.7
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
423.8
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
420.6
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
417.5
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
412.7
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
410.8
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
405.9
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
405.7
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
398.1
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
384.9
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
383.0
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
380.6
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
376.6
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
375.0
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
374.8
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
371.5
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
364.0
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
363.5
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
363.0
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
362.3
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
361.3
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
348.5
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
346.0
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
345.5
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
344.9
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
342.3
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
340.2
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
336.9
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
335.6
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
333.8
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
330.2
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
328.0
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
324.2
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
320.5
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
320.0
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
315.4
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
306.6
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
306.3
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
305.5
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
304.3
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
302.5
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
294.1
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
290.6
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
288.4
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
285.8
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
282.1
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
277.4
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
273.6
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
272.2
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
271.4
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
266.2
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
264.4
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
261.7
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
259.9
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
252.4
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
251.7
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
250.0
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
249.1
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
248.1
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
244.8
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
244.5
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
243.3
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
243.1
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
241.1
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
237.6
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
237.3
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
236.4
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
236.3
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
235.5
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
235.4
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
234.5
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
232.1
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
230.0
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
229.1
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
221.4
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
218.0
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
210.5
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
210.4
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
207.7
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
206.2
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
205.5
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
197.7
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
195.2
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
195.2
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
186.5
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
185.3
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
174.2
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
165.3
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
165.1
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
162.8
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
155.7
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
152.2
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
150.9
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
149.2
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
147.8
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
146.4
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
143.3
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
142.2
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
139.8
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
126.2
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
110.5
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
106.4
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
105.6
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
98.8
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
93.0
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
87.6
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
82.6
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
63.2
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 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.
CD74 is not prognostic in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
1505.1
Number of samples
231
Samples
Sample
Description
TPM
DO23549
74 years, male, NA, stage:3, alive, 990 days
12875.1
DO23523
52 years, male, NA, stage:3, alive, 1080 days
10326.8
DO45277
64 years, male, NA, stage:3, alive, 600 days
9617.0
DO45287
74 years, male, NA, stage:1, alive, 390 days
8256.2
DO50803
62 years, female, NA, stage:1, alive, 540 days
7170.6
DO23547
74 years, male, NA, stage:1, alive, 1020 days
7111.4
DO50829
78 years, male, NA, stage:3, alive, 570 days
6182.3
DO48747
62 years, male, NA, stage:3, alive, 540 days
5758.1
DO23530
53 years, male, NA, stage:4, dead, 180 days
4817.2
DO45307
54 years, female, NA, stage:4, dead, 240 days
4665.6
DO45245
75 years, female, NA, stage:2, dead, 240 days
4587.8
DO45159
65 years, male, NA, stage:3, alive, 1470 days
4487.6
DO227801
77 years, female, NA, stage:1, alive, 660 days
4102.6
DO45235
68 years, female, NA, stage:1, alive, 900 days
4075.3
DO23514
64 years, male, NA, stage:2, alive, 1290 days
3755.4
DO50778
60 years, male, NA, stage:4, alive, 630 days
3564.1
DO23535
67 years, male, NA, stage:1, alive, 960 days
3483.5
DO48700
78 years, female, NA, stage:2, alive, 810 days
3480.9
DO50787
63 years, male, NA, stage:3, alive, 480 days
3452.0
DO45139
63 years, male, NA, stage:3, alive, 1320 days
3415.9
DO48716
71 years, male, NA, stage:2, alive, 720 days
3376.6
DO48728
74 years, female, NA, stage:2, alive, 150 days
3269.8
DO48732
73 years, male, NA, stage:3, alive, 630 days
3187.2
DO50805
72 years, male, NA, stage:2, alive, 690 days
3174.6
DO45249
57 years, male, NA, stage:1, alive, 630 days
3158.3
DO23543
63 years, male, NA, stage:2, alive, 1020 days
3111.7
DO50819
72 years, female, NA, stage:2, alive, 510 days
3076.6
DO45171
56 years, male, NA, stage:3, alive, 600 days
3028.2
DO45141
73 years, male, NA, stage:2, alive, 1320 days
3021.3
DO23546
63 years, male, NA, stage:2, alive, 1050 days
3008.4
DO45225
69 years, male, NA, stage:1, alive, 1050 days
2945.8
DO50800
74 years, male, NA, stage:2, alive, 510 days
2942.4
DO45093
71 years, male, NA, stage:2, dead, 720 days
2921.3
DO23542
66 years, male, NA, stage:3, alive, 960 days
2663.9
DO45273
62 years, male, NA, stage:2, alive, 480 days
2628.9
DO45095
66 years, male, NA, stage:2, alive, 1620 days
2619.9
DO45143
69 years, male, NA, stage:3, alive, 1290 days
2555.7
DO45145
78 years, male, NA, stage:3, dead, 60 days
2545.4
DO48720
62 years, female, NA, stage:2, alive, 570 days
2514.5
DO45283
60 years, male, NA, stage:3, alive, 510 days
2458.7
DO48672
81 years, male, NA, stage:2, alive, 450 days
2457.2
DO45303
62 years, female, NA, stage:3, alive, 990 days
2316.5
DO45115
81 years, male, NA, stage:2, alive, 840 days
2308.2
DO45155
69 years, male, NA, stage:2, alive, 2160 days
2306.8
DO45275
65 years, male, NA, stage:3, dead, 10 days
2274.1
DO23518
67 years, male, NA, stage:2, alive, 1320 days
2212.8
DO45263
67 years, male, NA, stage:3, dead, 270 days
2186.8
DO45211
76 years, male, NA, stage:3, alive, 240 days
2185.1
DO45181
84 years, female, NA, stage:2, alive, 1200 days
2140.1
DO23536
56 years, male, NA, stage:2, alive, 930 days
2136.9
DO45135
77 years, male, NA, stage:1, alive, 1410 days
2086.1
DO45285
59 years, male, NA, stage:3, alive, 480 days
2078.8
DO48704
68 years, female, NA, stage:3, alive, 750 days
2067.6
DO45157
62 years, male, NA, stage:2, alive, 1980 days
2057.1
DO23519
65 years, male, NA, stage:3, alive, 630 days
2030.9
DO23525
71 years, male, NA, stage:4, alive, 1050 days
2014.8
DO45257
46 years, male, NA, stage:3, alive, 810 days
1999.4
DO48730
73 years, female, NA, stage:2, alive, 630 days
1986.6
DO48723
73 years, male, NA, stage:1, alive, 600 days
1976.3
DO48693
71 years, male, NA, stage:2, alive, 900 days
1944.4
DO45261
74 years, male, NA, stage:3, alive, 990 days
1941.8
DO48697
64 years, female, NA, stage:2, dead, 810 days
1916.7
DO45127
73 years, male, NA, stage:3, dead, 420 days
1849.0
DO50816
63 years, male, NA, stage:2, alive, 390 days
1798.8
DO45251
57 years, female, NA, stage:2, alive, 900 days
1791.7
DO50818
65 years, male, NA, stage:2, alive, 510 days
1762.3
DO50776
75 years, male, NA, stage:1, alive, 690 days
1748.4
DO50845
72 years, male, NA, stage:3, alive, 210 days
1747.4
DO23548
78 years, female, NA, stage:1, alive, 840 days
1671.5
DO45153
77 years, female, NA, stage:2, alive, 1380 days
1671.5
DO45109
63 years, male, NA, stage:2, alive, 1590 days
1666.1
DO23527
72 years, male, NA, stage:1, alive, 1050 days
1661.3
DO45265
73 years, male, NA, stage:3, alive, 1020 days
1653.1
DO48679
72 years, male, NA, stage:2, alive, 1200 days
1634.5
DO48717
54 years, male, NA, stage:4, dead, 180 days
1614.0
DO45092
62 years, male, NA, stage:4, dead, 1200 days
1604.4
DO48743
69 years, female, NA, stage:2, alive, 570 days
1582.8
DO45099
46 years, male, NA, stage:3, alive, 1590 days
1575.9
DO48712
50 years, male, NA, stage:2, alive, 810 days
1533.9
DO45223
67 years, male, NA, stage:4, alive, 1020 days
1510.6
DO45233
83 years, male, NA, stage:3, alive, 900 days
1509.5
DO45103
47 years, male, NA, stage:3, alive, 450 days
1508.3
DO23540
73 years, male, NA, stage:1, alive, 750 days
1500.5
DO50822
66 years, male, NA, stage:2, alive, 510 days
1492.4
DO23539
77 years, male, NA, stage:1, alive, 1110 days
1417.5
DO23515
71 years, male, NA, stage:2, alive, 1230 days
1412.9
DO48733
72 years, male, NA, stage:2, alive, 600 days
1398.5
DO23541
65 years, male, NA, stage:2, alive, 930 days
1396.4
DO50791
79 years, female, NA, stage:1, dead, 480 days
1379.1
DO48761
55 years, male, NA, stage:2, alive, 870 days
1374.8
DO45229
74 years, male, NA, stage:1, alive, 990 days
1368.6
DO45094
76 years, male, NA, stage:3, alive, 1650 days
1310.6
DO23550
69 years, male, NA, stage:1, alive, 990 days
1266.1
DO23524
71 years, female, NA, stage:2, alive, 1050 days
1265.7
DO23510
80 years, female, NA, stage:2, alive, 870 days
1259.6
DO45279
67 years, male, NA, stage:3, alive, 1290 days
1251.2
DO45231
84 years, male, NA, stage:2, alive, 930 days
1226.2
DO48725
66 years, male, NA, stage:1, alive, 780 days
1203.3
DO45201
49 years, male, NA, stage:1, alive, 900 days
1197.1
DO45185
89 years, male, NA, stage:2, alive, 600 days
1189.6
DO50806
70 years, male, NA, stage:4, alive, 540 days
1178.1
DO45255
81 years, male, NA, stage:3, alive, 720 days
1153.4
DO45241
49 years, male, NA, stage:1, alive, 1080 days
1145.5
DO45305
66 years, male, NA, stage:4, alive, 300 days
1136.7
DO23531
78 years, female, NA, stage:3, alive, 900 days
1132.9
DO50799
66 years, female, NA, stage:2, alive, 540 days
1117.5
DO50774
68 years, female, NA, stage:2, alive, 720 days
1110.4
DO50815
62 years, male, NA, stage:3, alive, 150 days
1109.0
DO50850
74 years, male, NA, stage:3, alive, 720 days
1096.9
DO45301
56 years, male, NA, stage:2, dead, 1440 days
1073.7
DO45207
68 years, male, NA, stage:1, alive, 1050 days
1047.8
DO45237
58 years, male, NA, stage:2, alive, 900 days
1040.9
DO45165
75 years, male, NA, stage:2, alive, 690 days
1022.1
DO45131
53 years, male, NA, stage:4, dead, 360 days
1010.5
DO45119
74 years, male, NA, stage:3, dead, 510 days
971.8
DO50808
68 years, male, NA, stage:2, alive, 570 days
969.4
DO45221
75 years, female, NA, stage:4, dead, 390 days
960.6
DO50840
49 years, male, NA, stage:2, alive, 330 days
956.1
DO48737
52 years, male, NA, stage:1, alive, 720 days
944.4
DO23551
73 years, male, NA, stage:3, dead, 150 days
941.1
DO50809
56 years, male, NA, stage:3, dead, 720 days
932.4
DO48736
76 years, female, NA, stage:1, alive, 600 days
929.8
DO45177
81 years, female, NA, stage:3, alive, 1260 days
893.1
DO50855
47 years, male, NA, stage:2, alive, 570 days
879.3
DO48759
73 years, male, NA, stage:3, alive, 720 days
843.7
DO45243
74 years, female, NA, stage:3, alive, 930 days
791.0
DO45281
83 years, male, NA, stage:4, alive, 750 days
779.3
DO45267
73 years, male, NA, stage:3, dead, 570 days
774.6
DO45091
56 years, male, NA, stage:2, dead, 1320 days
754.3
DO50857
72 years, male, NA, stage:2, alive, 210 days
751.0
DO48715
58 years, female, NA, stage:2, dead, 690 days
749.9
DO45117
73 years, female, NA, stage:2, dead, 1110 days
739.8
DO227643
79 years, male, NA, stage:2, alive, 1260 days
737.5
DO48742
76 years, male, NA, stage:2, alive, 600 days
726.4
DO45253
50 years, male, NA, stage:2, alive, 870 days
718.5
DO45121
61 years, male, NA, stage:3, alive, 1530 days
712.0
DO48719
80 years, male, NA, stage:2, alive, 690 days
708.1
DO45215
65 years, male, NA, stage:2, alive, 1170 days
705.4
DO45203
71 years, female, NA, stage:2, alive, 1170 days
697.6
DO23521
63 years, male, NA, stage:3, alive, 1110 days
683.7
DO50807
67 years, male, NA, stage:1, alive, 540 days
676.6
DO45137
38 years, male, NA, stage:1, alive, 1320 days
672.6
DO23533
61 years, male, NA, stage:2, alive, 900 days
664.9
DO23537
79 years, male, NA, stage:2, dead, 900 days
664.8
DO23512
60 years, male, NA, stage:1, alive, 1260 days
651.2
DO48701
78 years, male, NA, stage:2, alive, 780 days
645.8
DO45205
67 years, female, NA, stage:2, dead, 90 days
645.1
DO45161
74 years, male, NA, stage:2, dead, 540 days
637.7
DO23532
71 years, female, NA, stage:1, alive, 960 days
626.9
DO45269
59 years, male, NA, stage:3, alive, 750 days
599.8
DO23511
83 years, female, NA, stage:3, dead, 180 days
597.9
DO50813
56 years, male, NA, stage:2, alive, 420 days
595.2
DO45105
61 years, male, NA, stage:1, alive, 1680 days
587.4
DO23544
67 years, male, NA, stage:2, alive, 960 days
555.9
DO23526
66 years, male, NA, stage:3, alive, 1050 days
546.6
DO45113
58 years, male, NA, stage:3, alive, 1560 days
533.6
DO48760
70 years, female, NA, stage:2, alive, 690 days
526.9
DO48741
64 years, male, NA, stage:3, alive, 240 days
526.1
DO23513
76 years, male, NA, stage:3, alive, 1200 days
524.2
DO50832
73 years, male, NA, stage:3, alive, 90 days
511.5
DO45193
68 years, female, NA, stage:4, dead, 120 days
511.1
DO23508
79 years, female, NA, stage:2, alive, 390 days
506.3
DO50814
83 years, male, NA, stage:3, alive, 420 days
495.2
DO23545
67 years, male, NA, stage:2, dead, 570 days
491.3
DO45173
63 years, male, NA, stage:3, alive, 1170 days
483.6
DO48695
77 years, male, NA, stage:2, alive, 720 days
483.3
DO45167
67 years, male, NA, stage:2, dead, 1440 days
482.1
DO45213
58 years, male, NA, stage:1, alive, 1200 days
481.0
DO45217
69 years, female, NA, stage:3, dead, 270 days
480.0
DO45101
63 years, male, NA, stage:2, alive, 1680 days
474.2
DO50825
70 years, male, NA, stage:2, alive, 390 days
448.0
DO45107
63 years, female, NA, stage:2, alive, 1710 days
439.7
DO50817
75 years, male, NA, stage:2, alive, 390 days
434.4
DO45239
42 years, male, NA, stage:2, alive, 870 days
426.3
DO48721
58 years, female, NA, stage:1, alive, 900 days
421.0
DO45299
70 years, female, NA, stage:1, alive, 1440 days
409.9
DO45149
70 years, female, NA, stage:2, alive, 1260 days
406.8
DO45111
74 years, male, NA, stage:2, alive, 1590 days
405.8
DO45197
51 years, male, NA, stage:2, alive, 1170 days
400.1
DO45183
72 years, female, NA, stage:2, dead, 570 days
397.7
DO45169
74 years, male, NA, stage:3, alive, 1350 days
396.2
DO45199
86 years, female, NA, stage:2, alive, 1350 days
391.0
DO45189
85 years, female, NA, stage:2, alive, 1200 days
375.9
DO45123
78 years, female, NA, stage:2, dead, 570 days
374.9
DO45179
78 years, female, NA, stage:2, alive, 600 days
374.8
DO50783
62 years, male, NA, stage:3, alive, 480 days
366.5
DO23529
72 years, male, NA, stage:4, alive, 930 days
355.4
DO45125
58 years, male, NA, stage:3, alive, 1680 days
349.6
DO50802
49 years, male, NA, stage:2, alive, 930 days
343.8
DO50820
77 years, female, NA, stage:3, alive, 510 days
342.6
DO50789
73 years, female, NA, stage:2, alive, 570 days
341.9
DO45259
65 years, male, NA, stage:3, alive, 330 days
339.1
DO23534
60 years, male, NA, stage:2, alive, 840 days
333.9
DO50798
77 years, male, NA, stage:3, dead, 30 days
333.5
DO23538
67 years, male, NA, stage:2, alive, 450 days
327.6
DO45219
78 years, male, NA, stage:2, alive, 1080 days
326.6
DO45163
76 years, male, NA, stage:2, alive, 960 days
310.0
DO45247
31 years, female, NA, stage:2, alive, 210 days
307.9
DO45133
64 years, male, NA, stage:3, dead, 660 days
303.0
DO45129
61 years, male, NA, stage:3, alive, 1470 days
295.8
DO45096
69 years, male, NA, stage:2, dead, 1290 days
288.3
DO48757
68 years, female, NA, stage:3, alive, 480 days
285.2
DO45187
32 years, female, NA, stage:1, alive, 1260 days
282.1
DO45297
61 years, female, NA, stage:4, dead, 1260 days
273.1
DO50793
76 years, male, NA, stage:4, alive, 540 days
270.9
DO48681
57 years, male, NA, stage:2, alive, 900 days
262.7
DO50839
47 years, female, NA, stage:3, alive, 330 days
261.7
DO45289
78 years, female, NA, stage:3, alive, 360 days
253.3
DO23509
60 years, male, NA, stage:3, dead, 780 days
245.6
DO48674
80 years, male, NA, stage:2, alive, 1260 days
245.4
DO45227
57 years, female, NA, stage:2, alive, 1020 days
242.1
DO50804
81 years, male, NA, stage:2, alive, 720 days
241.8
DO23517
62 years, male, NA, stage:2, alive, 1200 days
238.2
DO23552
80 years, female, NA, stage:1, alive, 810 days
237.5
DO45195
62 years, male, NA, stage:1, alive, 390 days
220.7
DO50785
37 years, male, NA, stage:4, dead, 90 days
199.5
DO50844
75 years, male, NA, stage:4, alive, 300 days
185.0
DO45097
69 years, male, NA, stage:3, alive, 1620 days
178.6
DO23528
45 years, female, NA, stage:2, alive, 1020 days
171.1
DO45191
61 years, female, NA, stage:2, alive, 1200 days
166.7
DO45209
70 years, male, NA, stage:4, alive, 1350 days
159.6
DO45175
74 years, male, NA, stage:2, alive, 1140 days
159.0
DO48682
72 years, female, NA, stage:3, dead, 120 days
155.8
DO48706
72 years, male, NA, stage:2, alive, 870 days
143.8
DO48746
76 years, male, NA, stage:3, alive, 570 days
143.6
DO48677
58 years, male, NA, stage:3, alive, 1140 days
135.1
DO48727
81 years, female, NA, stage:2, dead, 390 days
117.7
DO50859
77 years, male, NA, stage:2, alive, 180 days
103.3
DO50811
62 years, male, NA, stage:1, alive, 450 days
92.5
DO23516
69 years, male, NA, stage:3, dead, 20 days
86.7
DO48751
68 years, male, NA, stage:2, dead, 480 days
45.5
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
861
Tumor
2.2
557
Tumor
2.1
395
Tumor
1.7
211
Tumor
1.7
231
Tumor
1.5
724
Normal
1.5
383
Tumor
1.3
913
Tumor
1.2
978
Normal
1.2
685
Tumor
1.1
353
Tumor
1.1
311
Tumor
1.1
434
Normal
1.1
467
Tumor
1.0
721
Tumor
1.0
814
Normal
1.0
966
Normal
1.0
188
Normal
0.8
262
Normal
0.8
493
Tumor
0.8
755
Tumor
0.8
525
Tumor
0.8
161
Tumor
0.8
195
Tumor
0.8
1015
Tumor
0.8
823
Tumor
0.7
915
Tumor
0.7
914
Normal
0.7
953
Tumor
0.7
937
Tumor
0.7
497
Tumor
0.7
492
Normal
0.7
661
Tumor
0.7
171
Tumor
0.6
213
Tumor
0.6
217
Tumor
0.5
113
Tumor
0.5
355
Tumor
0.5
536
Normal
0.5
917
Tumor
0.5
883
Tumor
0.5
343
Tumor
0.4
981
Tumor
0.4
185
Tumor
0.4
963
Tumor
0.4
212
Normal
0.4
524
Normal
0.4
362
Normal
0.4
478
Normal
0.4
384
Normal
0.4
141
Tumor
0.4
443
Tumor
0.4
867
Tumor
0.4
663
Tumor
0.4
261
Tumor
0.4
375
Tumor
0.4
916
Normal
0.4
1031
Tumor
0.3
192
Normal
0.3
224
Normal
0.3
956
Normal
0.3
145
Tumor
0.3
126
Normal
0.3
455
Tumor
0.3
498
Normal
0.3
187
Tumor
0.3
955
Tumor
0.3
852
Normal
0.3
137
Tumor
0.3
535
Tumor
0.2
444
Normal
0.2
628
Normal
0.2
366
Normal
0.2
191
Tumor
0.2
516
Normal
0.2
272
Normal
0.2
268
Normal
0.2
396
Normal
0.2
857
Tumor
0.2
432
Normal
0.1
386
Normal
0.1
686
Normal
0.1
433
Tumor
0.1
874
Normal
0.1
662
Normal
0.1
952
Normal
0.1
312
Normal
0.1
1042
Normal
0.1
146
Normal
0.1
851
Tumor
0.1
451
Tumor
0.1
468
Normal
0.1
538
Normal
0.1
258
Normal
0.1
284
Normal
0.0
514
Normal
0.0
471
Tumor
0.0
716
Normal
0.0
494
Normal
0.0
1044
Normal
0.0
267
Tumor
0.0
523
Tumor
0.0
884
Normal
0.0
218
Normal
0.0
1027
Tumor
0.0
943
Tumor
0.0
138
Normal
0.0
114
Normal
0.0
297
Tumor
0.0
415
Tumor
0.0
813
Tumor
0.0
627
Tumor
0.0
976
Normal
-0.1
385
Tumor
-0.1
387
Tumor
-0.1
447
Tumor
-0.1
491
Tumor
-0.1
975
Tumor
-0.1
1013
Tumor
-0.1
461
Tumor
-0.1
574
Normal
-0.1
672
Normal
-0.1
456
Normal
-0.1
1045
Tumor
-0.1
421
Tumor
-0.1
142
Normal
-0.1
416
Normal
-0.1
162
Normal
-0.1
696
Normal
-0.1
926
Normal
-0.1
778
Normal
-0.1
922
Normal
-0.2
446
Normal
-0.2
528
Normal
-0.2
965
Tumor
-0.2
865
Tumor
-0.2
954
Normal
-0.2
918
Normal
-0.2
858
Normal
-0.2
487
Tumor
-0.2
283
Tumor
-0.2
554
Normal
-0.2
881
Tumor
-0.2
984
Normal
-0.2
364
Normal
-0.2
665
Tumor
-0.2
563
Tumor
-0.2
172
Normal
-0.2
472
Normal
-0.2
866
Normal
-0.2
818
Normal
-0.3
1028
Normal
-0.3
873
Tumor
-0.3
958
Normal
-0.3
214
Normal
-0.3
573
Tumor
-0.3
363
Tumor
-0.3
1043
Tumor
-0.3
228
Normal
-0.3
391
Tumor
-0.3
148
Normal
-0.3
864
Normal
-0.3
474
Normal
-0.3
124
Normal
-0.3
1016
Normal
-0.3
722
Normal
-0.3
664
Normal
-0.3
427
Tumor
-0.3
327
Tumor
-0.3
642
Normal
-0.3
1022
Normal
-0.3
223
Tumor
-0.3
558
Normal
-0.3
951
Tumor
-0.3
136
Normal
-0.4
356
Normal
-0.4
816
Normal
-0.4
1026
Normal
-0.4
824
Normal
-0.4
368
Normal
-0.4
617
Tumor
-0.4
641
Tumor
-0.4
286
Normal
-0.4
123
Tumor
-0.4
756
Normal
-0.4
877
Tumor
-0.4
868
Normal
-0.4
365
Tumor
-0.4
968
Normal
-0.4
354
Normal
-0.4
424
Normal
-0.4
367
Tumor
-0.4
232
Normal
-0.4
332
Normal
-0.4
111
Normal
-0.4
186
Normal
-0.4
977
Tumor
-0.4
925
Tumor
-0.4
196
Normal
-0.4
341
Tumor
-0.4
352
Normal
-0.4
862
Normal
-0.4
1046
Normal
-0.4
222
Normal
-0.4
944
Normal
-0.4
127
Tumor
-0.4
1032
Normal
-0.4
388
Normal
-0.4
1014
Normal
-0.4
392
Normal
-0.4
924
Normal
-0.4
285
Tumor
-0.4
982
Normal
-0.4
714
Normal
-0.5
526
Normal
-0.5
328
Normal
-0.5
882
Normal
-0.5
278
Normal
-0.5
393
Tumor
-0.5
412
Normal
-0.5
567
Tumor
-0.5
422
Normal
-0.5
738
Normal
-0.5
817
Tumor
-0.5
488
Normal
-0.5
135
Tumor
-0.5
878
Normal
-0.5
728
Normal
-0.5
351
Tumor
-0.5
464
Normal
-0.5
741
Tumor
-0.5
462
Normal
-0.5
298
Normal
-0.5
553
Tumor
-0.5
666
Normal
-0.5
938
Normal
-0.5
376
Normal
-0.5
128
Normal
-0.5
428
Normal
-0.5
518
Normal
-0.5
357
Tumor
-0.5
344
Normal
-0.5
697
Tumor
-0.5
436
Normal
-0.5
483
Tumor
-0.5
648
Normal
-0.5
394
Normal
-0.5
411
Tumor
-0.5
358
Normal
-0.6
616
Normal
-0.6
727
Tumor
-0.6
466
Normal
-0.6
132
Normal
-0.6
912
Normal
-0.6
964
Normal
-0.6
257
Tumor
-0.6
431
Tumor
-0.6
482
Normal
-0.6
713
Tumor
-0.6
786
Normal
-0.6
413
Tumor
-0.6
147
Tumor
-0.6
484
Normal
-0.6
546
Normal
-0.6
221
Tumor
-0.6
1041
Tumor
-0.6
342
Normal
-0.6
564
Normal
-0.7
572
Normal
-0.7
533
Tumor
-0.7
534
Normal
-0.7
545
Tumor
-0.7
448
Normal
-0.7
698
Normal
-0.7
361
Tumor
-0.7
715
Tumor
-0.7
331
Tumor
-0.7
983
Tumor
-0.7
923
Tumor
-0.7
815
Tumor
-0.7
227
Tumor
-0.7
463
Tumor
-0.7
452
Normal
-0.7
957
Tumor
-0.7
568
Normal
-0.8
414
Normal
-0.8
723
Tumor
-0.8
277
Tumor
-0.8
314
Normal
-0.8
911
Tumor
-0.8
863
Tumor
-0.8
744
Normal
-0.8
618
Normal
-0.8
271
Tumor
-0.8
481
Tumor
-0.8
423
Tumor
-0.8
1025
Tumor
-0.9
313
Tumor
-0.9
477
Tumor
-0.9
426
Normal
-0.9
647
Tumor
-0.9
445
Tumor
-0.9
636
Normal
-0.9
571
Tumor
-0.9
742
Normal
-0.9
785
Tumor
-0.9
515
Tumor
-0.9
671
Tumor
-1.0
537
Tumor
-1.0
1021
Tumor
-1.0
746
Normal
-1.0
465
Tumor
-1.0
125
Tumor
-1.1
615
Tumor
-1.1
513
Tumor
-1.1
435
Tumor
-1.1
112
Tumor
-1.2
921
Tumor
-1.2
745
Tumor
-1.2
473
Tumor
-1.2
967
Tumor
-1.3
777
Tumor
-1.3
695
Tumor
-1.3
737
Tumor
-1.4
131
Tumor
-1.4
517
Tumor
-1.4
527
Tumor
-1.4
425
Tumor
-1.5
635
Tumor
-1.9
743
Tumor
-2.1
Show allShow less
LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
