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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 pTPM
1356.1
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
12553.6
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
11211.7
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
9891.5
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
8076.1
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
7104.2
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
6832.9
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
6823.4
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
6378.8
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
6174.4
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
5755.8
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
5304.4
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
5278.6
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
5263.0
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
5092.3
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
5043.3
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
5042.0
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
4634.2
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
4548.8
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
4520.5
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
4385.0
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
4167.3
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
3971.0
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
3966.4
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
3867.4
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
3712.9
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
3668.8
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
3593.5
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
3529.9
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
3286.8
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
3176.6
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
3130.5
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
3084.9
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
2969.4
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
2957.2
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
2946.6
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
2921.3
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
2896.8
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
2876.3
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
2737.2
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
2700.6
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
2699.4
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
2619.6
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
2605.3
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
2558.8
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
2546.0
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
2531.6
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
2481.4
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
2477.9
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
2472.0
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
2456.9
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
2412.2
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
2344.2
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
2327.0
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
2322.9
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
2268.7
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
2235.5
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
2221.7
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
2201.3
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
2197.0
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
2187.1
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
2177.2
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
2152.8
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
2112.3
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
2084.1
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
1993.8
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
1979.0
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
1959.2
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1943.3
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
1935.5
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
1912.9
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1868.9
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
1864.4
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
1825.8
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
1818.5
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
1783.7
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
1778.9
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
1772.6
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
1771.6
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
1748.8
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1737.6
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1718.0
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
1708.2
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
1690.8
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
1662.8
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
1653.6
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
1638.6
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
1633.3
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
1630.2
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
1626.7
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
1625.4
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
1625.0
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1612.0
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
1605.5
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
1592.7
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
1584.9
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
1584.0
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
1575.5
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
1555.8
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
1523.2
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
1518.5
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
1515.6
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
1499.5
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
1499.5
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
1491.4
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
1486.7
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
1484.2
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
1475.5
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
1474.3
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
1435.9
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
1405.2
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
1402.9
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
1401.6
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
1380.8
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
1378.0
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
1371.4
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1352.0
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
1351.0
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
1333.4
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
1311.5
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
1288.1
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
1280.2
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
1276.0
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
1262.2
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
1261.4
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
1257.8
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
1254.9
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
1246.5
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
1236.4
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
1236.1
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
1223.1
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
1201.3
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
1193.2
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
1190.7
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
1172.1
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
1167.4
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
1128.7
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
1127.1
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1124.4
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
1124.2
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
1123.0
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
1120.9
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
1116.8
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
1116.6
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
1098.9
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
1086.9
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
1077.8
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
1058.7
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
1057.0
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
1054.1
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1036.3
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
1033.2
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
1029.0
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
1028.9
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
1028.3
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
1011.0
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
1009.8
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1009.8
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
1009.1
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
1009.0
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
987.3
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
982.1
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
977.8
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
977.8
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
969.0
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
966.9
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
964.3
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
954.5
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
934.5
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
921.4
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
915.5
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
912.1
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
903.6
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
897.5
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
885.6
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
872.2
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
871.3
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
867.5
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
866.4
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
863.8
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
851.2
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
845.7
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
845.5
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
844.4
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
842.4
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
839.5
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
839.3
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
839.0
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
831.2
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
824.8
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
820.9
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
816.3
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
807.5
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
807.5
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
801.6
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
796.8
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
796.6
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
793.1
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
792.6
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
791.0
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
789.5
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
789.5
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
784.6
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
781.5
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
778.7
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
778.4
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
775.1
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
774.9
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
767.6
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
765.5
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
748.0
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
743.5
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
743.1
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
738.4
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
736.0
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
735.4
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
734.4
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
730.0
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
728.4
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
708.2
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
683.4
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
682.4
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
669.3
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
669.2
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
667.6
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
660.9
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
656.7
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
654.6
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
637.0
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
630.5
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
630.0
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
620.2
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
617.2
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
615.1
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
612.3
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
612.0
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
602.1
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
597.4
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
591.3
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
588.8
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
562.8
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
560.0
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
559.1
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
557.8
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
557.0
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
554.3
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
554.3
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
523.9
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
516.2
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
514.9
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
513.7
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
511.9
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
510.9
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
501.0
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
497.4
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
489.5
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
487.8
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
482.2
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
479.1
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
476.4
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
464.1
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
460.7
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
459.0
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
450.2
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
449.8
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
442.8
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
440.8
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
437.9
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
437.0
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
430.9
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
429.8
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
428.6
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
426.8
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
421.8
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
421.0
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
419.8
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
417.0
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
410.2
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
407.2
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
405.2
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
404.1
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
399.3
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
399.1
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
397.8
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
390.9
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
390.7
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
385.3
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
384.3
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
382.5
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
370.9
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
368.3
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
364.1
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
360.5
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
358.5
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
357.9
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
357.6
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
350.3
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
346.9
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
331.5
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
326.3
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
324.3
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
319.9
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
314.6
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
312.9
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
312.8
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
310.7
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
304.4
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
303.0
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
300.8
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
290.6
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
289.9
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
289.4
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
289.3
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
286.5
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
286.5
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
284.0
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
282.0
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
278.0
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
277.6
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
277.5
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
274.3
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
272.0
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
271.5
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
270.2
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
270.0
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
270.0
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
268.2
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
265.9
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
265.3
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
258.8
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
254.7
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
252.2
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
251.4
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
244.8
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
243.2
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
242.6
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
242.4
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
235.8
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
216.6
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
215.5
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
200.4
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
194.4
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
193.7
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
184.7
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
183.5
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
181.7
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
179.4
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
175.7
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
173.8
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
172.3
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
171.0
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
168.1
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
165.5
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
141.5
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
127.9
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
120.9
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
119.9
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
115.6
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
109.1
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
99.8
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
99.8
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
73.3
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 pTPM
2645.3
Number of samples
231
Samples
Sample
Description
pTPM
DO23549
74 years, male, NA, stage:3, alive, 990 days
25370.4
DO45277
64 years, male, NA, stage:3, alive, 600 days
19572.2
DO23523
52 years, male, NA, stage:3, alive, 1080 days
18163.9
DO45287
74 years, male, NA, stage:1, alive, 390 days
17018.7
DO23547
74 years, male, NA, stage:1, alive, 1020 days
13865.7
DO50803
62 years, female, NA, stage:1, alive, 540 days
11408.5
DO50829
78 years, male, NA, stage:3, alive, 570 days
11191.9
DO45245
75 years, female, NA, stage:2, dead, 240 days
9543.0
DO23530
53 years, male, NA, stage:4, dead, 180 days
9246.5
DO48747
62 years, male, NA, stage:3, alive, 540 days
9133.5
DO45159
65 years, male, NA, stage:3, alive, 1470 days
8959.5
DO45307
54 years, female, NA, stage:4, dead, 240 days
7838.8
DO45235
68 years, female, NA, stage:1, alive, 900 days
7201.3
DO48732
73 years, male, NA, stage:3, alive, 630 days
7085.1
DO23514
64 years, male, NA, stage:2, alive, 1290 days
6771.1
DO45139
63 years, male, NA, stage:3, alive, 1320 days
6770.1
DO48728
74 years, female, NA, stage:2, alive, 150 days
6571.8
DO45249
57 years, male, NA, stage:1, alive, 630 days
6455.7
DO227801
77 years, female, NA, stage:1, alive, 660 days
6412.4
DO23535
67 years, male, NA, stage:1, alive, 960 days
6201.2
DO50778
60 years, male, NA, stage:4, alive, 630 days
6133.8
DO50787
63 years, male, NA, stage:3, alive, 480 days
6114.5
DO45225
69 years, male, NA, stage:1, alive, 1050 days
5856.9
DO23546
63 years, male, NA, stage:2, alive, 1050 days
5719.9
DO48700
78 years, female, NA, stage:2, alive, 810 days
5715.5
DO23543
63 years, male, NA, stage:2, alive, 1020 days
5617.4
DO48716
71 years, male, NA, stage:2, alive, 720 days
5411.5
DO50800
74 years, male, NA, stage:2, alive, 510 days
5357.8
DO50819
72 years, female, NA, stage:2, alive, 510 days
5275.7
DO45141
73 years, male, NA, stage:2, alive, 1320 days
5269.9
DO45283
60 years, male, NA, stage:3, alive, 510 days
5093.7
DO48720
62 years, female, NA, stage:2, alive, 570 days
5081.6
DO45171
56 years, male, NA, stage:3, alive, 600 days
4966.5
DO45273
62 years, male, NA, stage:2, alive, 480 days
4958.5
DO23542
66 years, male, NA, stage:3, alive, 960 days
4937.8
DO45155
69 years, male, NA, stage:2, alive, 2160 days
4783.1
DO45263
67 years, male, NA, stage:3, dead, 270 days
4593.3
DO50805
72 years, male, NA, stage:2, alive, 690 days
4589.5
DO45093
71 years, male, NA, stage:2, dead, 720 days
4331.1
DO45303
62 years, female, NA, stage:3, alive, 990 days
4284.1
DO45275
65 years, male, NA, stage:3, dead, 10 days
4283.5
DO48672
81 years, male, NA, stage:2, alive, 450 days
4018.5
DO45095
66 years, male, NA, stage:2, alive, 1620 days
4013.4
DO45145
78 years, male, NA, stage:3, dead, 60 days
3974.6
DO45143
69 years, male, NA, stage:3, alive, 1290 days
3945.7
DO45157
62 years, male, NA, stage:2, alive, 1980 days
3832.8
DO45115
81 years, male, NA, stage:2, alive, 840 days
3655.1
DO48730
73 years, female, NA, stage:2, alive, 630 days
3633.5
DO45251
57 years, female, NA, stage:2, alive, 900 days
3633.4
DO45127
73 years, male, NA, stage:3, dead, 420 days
3617.8
DO23536
56 years, male, NA, stage:2, alive, 930 days
3563.2
DO23518
67 years, male, NA, stage:2, alive, 1320 days
3552.5
DO45211
76 years, male, NA, stage:3, alive, 240 days
3549.0
DO45257
46 years, male, NA, stage:3, alive, 810 days
3494.8
DO45181
84 years, female, NA, stage:2, alive, 1200 days
3461.6
DO45135
77 years, male, NA, stage:1, alive, 1410 days
3358.3
DO48704
68 years, female, NA, stage:3, alive, 750 days
3322.4
DO45261
74 years, male, NA, stage:3, alive, 990 days
3116.0
DO23525
71 years, male, NA, stage:4, alive, 1050 days
3101.1
DO23548
78 years, female, NA, stage:1, alive, 840 days
3082.9
DO48697
64 years, female, NA, stage:2, dead, 810 days
3046.4
DO23519
65 years, male, NA, stage:3, alive, 630 days
3013.8
DO48723
73 years, male, NA, stage:1, alive, 600 days
2966.3
DO48693
71 years, male, NA, stage:2, alive, 900 days
2965.5
DO45279
67 years, male, NA, stage:3, alive, 1290 days
2898.2
DO50816
63 years, male, NA, stage:2, alive, 390 days
2888.6
DO50845
72 years, male, NA, stage:3, alive, 210 days
2870.4
DO45285
59 years, male, NA, stage:3, alive, 480 days
2868.6
DO48717
54 years, male, NA, stage:4, dead, 180 days
2819.6
DO23527
72 years, male, NA, stage:1, alive, 1050 days
2784.0
DO50818
65 years, male, NA, stage:2, alive, 510 days
2778.0
DO45153
77 years, female, NA, stage:2, alive, 1380 days
2702.6
DO48712
50 years, male, NA, stage:2, alive, 810 days
2688.7
DO45265
73 years, male, NA, stage:3, alive, 1020 days
2687.5
DO45233
83 years, male, NA, stage:3, alive, 900 days
2655.4
DO48743
69 years, female, NA, stage:2, alive, 570 days
2643.6
DO45092
62 years, male, NA, stage:4, dead, 1200 days
2638.0
DO45099
46 years, male, NA, stage:3, alive, 1590 days
2614.4
DO45223
67 years, male, NA, stage:4, alive, 1020 days
2583.3
DO50776
75 years, male, NA, stage:1, alive, 690 days
2521.1
DO45185
89 years, male, NA, stage:2, alive, 600 days
2494.5
DO45103
47 years, male, NA, stage:3, alive, 450 days
2454.0
DO23540
73 years, male, NA, stage:1, alive, 750 days
2438.7
DO48733
72 years, male, NA, stage:2, alive, 600 days
2437.0
DO50791
79 years, female, NA, stage:1, dead, 480 days
2431.5
DO45231
84 years, male, NA, stage:2, alive, 930 days
2364.1
DO50822
66 years, male, NA, stage:2, alive, 510 days
2353.5
DO23541
65 years, male, NA, stage:2, alive, 930 days
2317.4
DO23524
71 years, female, NA, stage:2, alive, 1050 days
2315.6
DO23515
71 years, male, NA, stage:2, alive, 1230 days
2308.1
DO48761
55 years, male, NA, stage:2, alive, 870 days
2304.4
DO48679
72 years, male, NA, stage:2, alive, 1200 days
2264.9
DO45109
63 years, male, NA, stage:2, alive, 1590 days
2255.5
DO50815
62 years, male, NA, stage:3, alive, 150 days
2194.5
DO23539
77 years, male, NA, stage:1, alive, 1110 days
2186.0
DO45301
56 years, male, NA, stage:2, dead, 1440 days
2168.9
DO45305
66 years, male, NA, stage:4, alive, 300 days
2156.8
DO23510
80 years, female, NA, stage:2, alive, 870 days
2137.2
DO45229
74 years, male, NA, stage:1, alive, 990 days
2085.7
DO45094
76 years, male, NA, stage:3, alive, 1650 days
2080.7
DO45207
68 years, male, NA, stage:1, alive, 1050 days
2054.2
DO23550
69 years, male, NA, stage:1, alive, 990 days
1974.2
DO50799
66 years, female, NA, stage:2, alive, 540 days
1946.5
DO50774
68 years, female, NA, stage:2, alive, 720 days
1917.1
DO45237
58 years, male, NA, stage:2, alive, 900 days
1896.2
DO48725
66 years, male, NA, stage:1, alive, 780 days
1865.8
DO45255
81 years, male, NA, stage:3, alive, 720 days
1865.6
DO45201
49 years, male, NA, stage:1, alive, 900 days
1864.4
DO23531
78 years, female, NA, stage:3, alive, 900 days
1810.4
DO50850
74 years, male, NA, stage:3, alive, 720 days
1736.2
DO45131
53 years, male, NA, stage:4, dead, 360 days
1734.4
DO50806
70 years, male, NA, stage:4, alive, 540 days
1695.2
DO45165
75 years, male, NA, stage:2, alive, 690 days
1689.6
DO45241
49 years, male, NA, stage:1, alive, 1080 days
1678.8
DO50840
49 years, male, NA, stage:2, alive, 330 days
1607.6
DO50809
56 years, male, NA, stage:3, dead, 720 days
1598.0
DO45119
74 years, male, NA, stage:3, dead, 510 days
1594.3
DO50855
47 years, male, NA, stage:2, alive, 570 days
1567.7
DO48736
76 years, female, NA, stage:1, alive, 600 days
1539.9
DO48737
52 years, male, NA, stage:1, alive, 720 days
1518.2
DO45221
75 years, female, NA, stage:4, dead, 390 days
1503.2
DO45177
81 years, female, NA, stage:3, alive, 1260 days
1497.9
DO23551
73 years, male, NA, stage:3, dead, 150 days
1457.0
DO45243
74 years, female, NA, stage:3, alive, 930 days
1450.3
DO45267
73 years, male, NA, stage:3, dead, 570 days
1443.5
DO45281
83 years, male, NA, stage:4, alive, 750 days
1428.6
DO50808
68 years, male, NA, stage:2, alive, 570 days
1396.2
DO23521
63 years, male, NA, stage:3, alive, 1110 days
1372.9
DO45205
67 years, female, NA, stage:2, dead, 90 days
1348.0
DO45253
50 years, male, NA, stage:2, alive, 870 days
1334.8
DO45091
56 years, male, NA, stage:2, dead, 1320 days
1289.1
DO45121
61 years, male, NA, stage:3, alive, 1530 days
1282.5
DO45215
65 years, male, NA, stage:2, alive, 1170 days
1268.8
DO50857
72 years, male, NA, stage:2, alive, 210 days
1251.6
DO45203
71 years, female, NA, stage:2, alive, 1170 days
1245.2
DO45117
73 years, female, NA, stage:2, dead, 1110 days
1232.9
DO45137
38 years, male, NA, stage:1, alive, 1320 days
1227.2
DO48719
80 years, male, NA, stage:2, alive, 690 days
1217.2
DO48759
73 years, male, NA, stage:3, alive, 720 days
1213.1
DO23537
79 years, male, NA, stage:2, dead, 900 days
1210.9
DO48742
76 years, male, NA, stage:2, alive, 600 days
1171.7
DO48715
58 years, female, NA, stage:2, dead, 690 days
1170.6
DO50807
67 years, male, NA, stage:1, alive, 540 days
1166.4
DO227643
79 years, male, NA, stage:2, alive, 1260 days
1153.8
DO23533
61 years, male, NA, stage:2, alive, 900 days
1138.1
DO23512
60 years, male, NA, stage:1, alive, 1260 days
1103.1
DO23532
71 years, female, NA, stage:1, alive, 960 days
1054.7
DO23513
76 years, male, NA, stage:3, alive, 1200 days
1040.4
DO23526
66 years, male, NA, stage:3, alive, 1050 days
1040.1
DO45161
74 years, male, NA, stage:2, dead, 540 days
1039.4
DO48701
78 years, male, NA, stage:2, alive, 780 days
1038.6
DO45105
61 years, male, NA, stage:1, alive, 1680 days
952.4
DO45269
59 years, male, NA, stage:3, alive, 750 days
951.5
DO50813
56 years, male, NA, stage:2, alive, 420 days
935.4
DO45113
58 years, male, NA, stage:3, alive, 1560 days
935.0
DO23544
67 years, male, NA, stage:2, alive, 960 days
933.8
DO45213
58 years, male, NA, stage:1, alive, 1200 days
901.0
DO23511
83 years, female, NA, stage:3, dead, 180 days
874.3
DO45217
69 years, female, NA, stage:3, dead, 270 days
874.3
DO50832
73 years, male, NA, stage:3, alive, 90 days
873.7
DO45193
68 years, female, NA, stage:4, dead, 120 days
853.2
DO48695
77 years, male, NA, stage:2, alive, 720 days
827.2
DO48760
70 years, female, NA, stage:2, alive, 690 days
815.0
DO45189
85 years, female, NA, stage:2, alive, 1200 days
803.6
DO45197
51 years, male, NA, stage:2, alive, 1170 days
773.7
DO45239
42 years, male, NA, stage:2, alive, 870 days
772.3
DO45173
63 years, male, NA, stage:3, alive, 1170 days
771.9
DO50817
75 years, male, NA, stage:2, alive, 390 days
744.9
DO23545
67 years, male, NA, stage:2, dead, 570 days
744.5
DO45101
63 years, male, NA, stage:2, alive, 1680 days
743.2
DO45167
67 years, male, NA, stage:2, dead, 1440 days
716.5
DO48741
64 years, male, NA, stage:3, alive, 240 days
712.1
DO48721
58 years, female, NA, stage:1, alive, 900 days
711.6
DO45299
70 years, female, NA, stage:1, alive, 1440 days
708.0
DO45111
74 years, male, NA, stage:2, alive, 1590 days
707.6
DO23508
79 years, female, NA, stage:2, alive, 390 days
700.0
DO45107
63 years, female, NA, stage:2, alive, 1710 days
692.4
DO50825
70 years, male, NA, stage:2, alive, 390 days
674.0
DO45259
65 years, male, NA, stage:3, alive, 330 days
663.7
DO23529
72 years, male, NA, stage:4, alive, 930 days
638.7
DO50820
77 years, female, NA, stage:3, alive, 510 days
638.1
DO45123
78 years, female, NA, stage:2, dead, 570 days
631.1
DO45183
72 years, female, NA, stage:2, dead, 570 days
630.9
DO50814
83 years, male, NA, stage:3, alive, 420 days
627.2
DO45179
78 years, female, NA, stage:2, alive, 600 days
622.3
DO45219
78 years, male, NA, stage:2, alive, 1080 days
618.5
DO23534
60 years, male, NA, stage:2, alive, 840 days
615.1
DO45169
74 years, male, NA, stage:3, alive, 1350 days
613.4
DO45149
70 years, female, NA, stage:2, alive, 1260 days
613.0
DO45199
86 years, female, NA, stage:2, alive, 1350 days
600.0
DO50802
49 years, male, NA, stage:2, alive, 930 days
584.9
DO50798
77 years, male, NA, stage:3, dead, 30 days
574.7
DO45125
58 years, male, NA, stage:3, alive, 1680 days
548.4
DO45133
64 years, male, NA, stage:3, dead, 660 days
536.8
DO23538
67 years, male, NA, stage:2, alive, 450 days
535.2
DO50783
62 years, male, NA, stage:3, alive, 480 days
532.7
DO45247
31 years, female, NA, stage:2, alive, 210 days
532.5
DO50789
73 years, female, NA, stage:2, alive, 570 days
532.1
DO45297
61 years, female, NA, stage:4, dead, 1260 days
524.3
DO48757
68 years, female, NA, stage:3, alive, 480 days
513.9
DO45163
76 years, male, NA, stage:2, alive, 960 days
504.6
DO23509
60 years, male, NA, stage:3, dead, 780 days
488.1
DO45187
32 years, female, NA, stage:1, alive, 1260 days
485.7
DO45096
69 years, male, NA, stage:2, dead, 1290 days
475.2
DO45129
61 years, male, NA, stage:3, alive, 1470 days
474.8
DO48681
57 years, male, NA, stage:2, alive, 900 days
465.0
DO50793
76 years, male, NA, stage:4, alive, 540 days
461.9
DO45227
57 years, female, NA, stage:2, alive, 1020 days
418.1
DO23552
80 years, female, NA, stage:1, alive, 810 days
408.4
DO45289
78 years, female, NA, stage:3, alive, 360 days
400.8
DO50804
81 years, male, NA, stage:2, alive, 720 days
390.5
DO23517
62 years, male, NA, stage:2, alive, 1200 days
368.3
DO45195
62 years, male, NA, stage:1, alive, 390 days
343.1
DO50839
47 years, female, NA, stage:3, alive, 330 days
336.4
DO50844
75 years, male, NA, stage:4, alive, 300 days
332.9
DO48674
80 years, male, NA, stage:2, alive, 1260 days
329.3
DO45191
61 years, female, NA, stage:2, alive, 1200 days
295.5
DO23528
45 years, female, NA, stage:2, alive, 1020 days
280.0
DO45209
70 years, male, NA, stage:4, alive, 1350 days
276.7
DO45097
69 years, male, NA, stage:3, alive, 1620 days
273.8
DO50785
37 years, male, NA, stage:4, dead, 90 days
268.5
DO48746
76 years, male, NA, stage:3, alive, 570 days
268.3
DO48682
72 years, female, NA, stage:3, dead, 120 days
259.7
DO45175
74 years, male, NA, stage:2, alive, 1140 days
249.5
DO48677
58 years, male, NA, stage:3, alive, 1140 days
239.2
DO48706
72 years, male, NA, stage:2, alive, 870 days
216.7
DO48727
81 years, female, NA, stage:2, dead, 390 days
190.2
DO50859
77 years, male, NA, stage:2, alive, 180 days
173.3
DO50811
62 years, male, NA, stage:1, alive, 450 days
147.1
DO23516
69 years, male, NA, stage:3, dead, 20 days
137.3
DO48751
68 years, male, NA, stage:2, dead, 480 days
68.8
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.