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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.
FGL1 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.
: 1.63
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.21
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.
47%
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.
51%
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
1176.4
Number of samples
362
Samples
Sample
Description
TPM
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
8293.2
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
8267.6
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
7724.3
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
6778.3
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
6643.8
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
6078.6
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
5510.8
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
5443.9
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
5259.8
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
5106.3
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
5066.8
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
4540.6
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
4482.8
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
4233.7
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
4223.7
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
4087.1
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
3918.2
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
3900.2
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
3796.1
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
3771.3
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
3757.8
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
3590.8
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
3492.3
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
3407.1
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
3356.8
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
3356.4
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
3304.0
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
3290.7
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
3162.5
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
3145.1
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
3023.1
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
2923.6
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
2877.8
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
2864.2
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
2708.1
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
2698.1
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
2674.7
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
2666.6
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
2653.3
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
2634.2
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
2619.5
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
2610.7
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
2541.9
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
2534.2
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
2502.6
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
2502.5
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
2483.5
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
2474.3
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
2469.4
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
2451.5
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
2384.9
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
2332.0
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
2291.0
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
2277.2
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
2259.4
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
2225.3
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
2186.8
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
2184.7
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
2180.2
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
2166.1
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
2152.4
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
2152.1
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
2145.8
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
2138.9
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
2138.7
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
2112.3
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
2097.2
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
2075.0
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
2038.8
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
2037.1
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
2030.8
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
2017.6
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
1991.3
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
1952.9
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
1936.5
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1932.4
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
1897.6
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
1873.6
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1861.4
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
1853.8
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
1846.7
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
1804.6
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1709.1
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
1685.3
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
1651.7
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
1647.5
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
1643.4
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
1622.5
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
1621.1
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
1617.1
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
1610.1
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1595.1
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
1585.1
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
1529.7
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
1509.6
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
1505.6
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
1496.0
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
1492.1
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
1435.6
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
1408.2
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
1407.4
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
1383.4
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
1377.7
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
1359.0
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
1358.4
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
1358.0
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
1344.7
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
1342.1
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
1329.1
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
1323.4
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
1317.2
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
1297.4
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
1285.0
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
1272.6
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
1261.6
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
1235.8
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
1231.4
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
1223.2
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
1215.0
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
1183.2
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
1175.2
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
1157.8
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
1151.5
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
1137.8
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
1132.2
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
1130.5
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
1130.3
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
1115.3
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
1094.2
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
1084.8
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
1080.8
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
1080.3
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
1078.8
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
1061.7
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
1048.7
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
1031.2
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
1026.8
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
1010.4
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
1006.8
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
1004.8
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
1004.8
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
1000.6
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
983.4
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
976.2
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
972.4
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
947.1
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
940.0
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
917.3
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
914.0
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
901.9
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
893.5
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
887.3
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
879.8
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
874.0
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
863.9
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
856.6
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
846.9
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
844.9
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
841.4
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
840.6
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
831.7
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
827.3
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
816.4
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
801.3
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
792.1
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
786.6
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
782.7
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
781.5
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
779.5
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
779.5
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
773.5
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
772.9
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
769.6
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
769.1
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
766.3
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
764.4
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
735.5
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
728.9
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
722.0
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
719.3
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
717.5
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
716.5
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
699.2
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
686.9
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
679.7
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
676.7
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
670.7
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
667.3
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
658.0
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
656.9
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
648.7
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
648.4
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
633.8
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
631.2
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
630.8
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
628.7
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
600.0
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
595.6
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
588.3
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
579.2
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
576.0
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
574.9
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
574.0
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
565.7
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
564.5
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
563.2
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
562.9
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
552.2
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
545.8
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
525.8
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
524.9
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
523.5
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
521.8
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
516.4
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
515.8
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
506.5
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
504.2
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
489.4
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
487.9
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
483.2
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
475.2
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
472.4
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
466.3
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
464.9
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
462.6
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
461.1
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
460.3
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
458.5
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
456.8
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
455.4
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
448.7
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
447.0
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
445.4
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
431.9
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
431.6
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
426.2
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
423.0
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
415.0
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
410.3
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
409.4
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
404.2
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
396.8
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
396.6
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
396.1
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
392.0
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
382.5
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
381.7
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
380.2
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
370.9
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
368.8
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
367.4
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
360.9
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
360.7
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
350.4
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
344.5
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
340.9
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
340.7
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
333.4
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
333.0
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
323.3
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
319.4
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
319.4
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
318.6
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
314.5
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
306.3
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
301.4
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
297.4
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
295.6
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
288.7
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
286.9
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
284.5
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
282.9
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
280.5
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
280.0
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
279.5
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
278.6
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
270.1
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
261.1
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
248.6
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
245.8
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
243.0
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
240.1
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
236.8
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
234.6
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
234.0
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
230.1
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
229.1
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
224.8
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
224.7
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
220.6
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
217.3
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
216.5
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
211.4
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
211.0
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
210.1
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
206.5
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
203.9
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
197.1
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
193.6
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
193.2
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
186.4
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
183.0
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
179.6
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
177.0
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
176.4
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
173.7
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
169.7
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
153.4
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
151.5
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
150.5
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
149.8
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
148.6
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
148.0
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
144.6
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
144.5
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
136.4
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
136.2
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
134.8
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
131.3
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
130.7
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
130.6
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
124.9
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
123.6
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
115.0
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
113.0
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
109.9
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
108.1
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
94.3
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
90.9
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
88.1
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
84.3
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
84.2
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
80.1
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
79.9
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
77.4
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
76.4
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
75.6
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
64.1
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
63.0
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
60.7
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
48.9
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
48.7
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
43.4
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
38.0
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
32.4
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
30.2
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
29.8
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
28.2
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
21.8
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
21.2
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
18.9
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
18.8
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
18.6
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
13.1
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
13.1
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
10.1
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
8.6
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
3.3
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
1.5
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
1.4
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
1.4
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
FGL1 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.
: 2.14
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.27
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.
64%
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.
0%
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
1108.2
Number of samples
231
Samples
Sample
Description
TPM
DO45221
75 years, female, NA, stage:4, dead, 390 days
7735.7
DO23518
67 years, male, NA, stage:2, alive, 1320 days
6813.6
DO45157
62 years, male, NA, stage:2, alive, 1980 days
5989.5
DO48716
71 years, male, NA, stage:2, alive, 720 days
5732.9
DO23552
80 years, female, NA, stage:1, alive, 810 days
5419.6
DO45135
77 years, male, NA, stage:1, alive, 1410 days
5009.5
DO23509
60 years, male, NA, stage:3, dead, 780 days
4665.9
DO23527
72 years, male, NA, stage:1, alive, 1050 days
4494.3
DO50774
68 years, female, NA, stage:2, alive, 720 days
4036.3
DO48693
71 years, male, NA, stage:2, alive, 900 days
3720.0
DO45131
53 years, male, NA, stage:4, dead, 360 days
3717.0
DO45261
74 years, male, NA, stage:3, alive, 990 days
3556.2
DO50857
72 years, male, NA, stage:2, alive, 210 days
3551.1
DO45193
68 years, female, NA, stage:4, dead, 120 days
3506.7
DO23551
73 years, male, NA, stage:3, dead, 150 days
3209.7
DO50805
72 years, male, NA, stage:2, alive, 690 days
3196.9
DO50800
74 years, male, NA, stage:2, alive, 510 days
3182.9
DO45263
67 years, male, NA, stage:3, dead, 270 days
3021.1
DO45096
69 years, male, NA, stage:2, dead, 1290 days
2890.9
DO45094
76 years, male, NA, stage:3, alive, 1650 days
2881.7
DO45117
73 years, female, NA, stage:2, dead, 1110 days
2783.8
DO23550
69 years, male, NA, stage:1, alive, 990 days
2676.4
DO48725
66 years, male, NA, stage:1, alive, 780 days
2596.5
DO45169
74 years, male, NA, stage:3, alive, 1350 days
2541.6
DO50803
62 years, female, NA, stage:1, alive, 540 days
2512.4
DO45143
69 years, male, NA, stage:3, alive, 1290 days
2453.1
DO48760
70 years, female, NA, stage:2, alive, 690 days
2446.9
DO48723
73 years, male, NA, stage:1, alive, 600 days
2325.9
DO48682
72 years, female, NA, stage:3, dead, 120 days
2314.1
DO48737
52 years, male, NA, stage:1, alive, 720 days
2269.7
DO50825
70 years, male, NA, stage:2, alive, 390 days
2227.9
DO23525
71 years, male, NA, stage:4, alive, 1050 days
2215.2
DO45167
67 years, male, NA, stage:2, dead, 1440 days
2179.4
DO23510
80 years, female, NA, stage:2, alive, 870 days
2108.6
DO45199
86 years, female, NA, stage:2, alive, 1350 days
2086.7
DO48712
50 years, male, NA, stage:2, alive, 810 days
2050.5
DO227801
77 years, female, NA, stage:1, alive, 660 days
2033.8
DO45103
47 years, male, NA, stage:3, alive, 450 days
1976.3
DO48700
78 years, female, NA, stage:2, alive, 810 days
1936.6
DO45257
46 years, male, NA, stage:3, alive, 810 days
1931.0
DO50806
70 years, male, NA, stage:4, alive, 540 days
1905.0
DO45229
74 years, male, NA, stage:1, alive, 990 days
1886.0
DO50845
72 years, male, NA, stage:3, alive, 210 days
1882.9
DO45195
62 years, male, NA, stage:1, alive, 390 days
1845.8
DO50789
73 years, female, NA, stage:2, alive, 570 days
1827.2
DO45215
65 years, male, NA, stage:2, alive, 1170 days
1818.0
DO45095
66 years, male, NA, stage:2, alive, 1620 days
1811.3
DO45091
56 years, male, NA, stage:2, dead, 1320 days
1799.2
DO23535
67 years, male, NA, stage:1, alive, 960 days
1775.1
DO23544
67 years, male, NA, stage:2, alive, 960 days
1752.8
DO227643
79 years, male, NA, stage:2, alive, 1260 days
1731.6
DO45165
75 years, male, NA, stage:2, alive, 690 days
1727.1
DO45187
32 years, female, NA, stage:1, alive, 1260 days
1625.7
DO45119
74 years, male, NA, stage:3, dead, 510 days
1613.6
DO50776
75 years, male, NA, stage:1, alive, 690 days
1606.7
DO23517
62 years, male, NA, stage:2, alive, 1200 days
1516.1
DO48704
68 years, female, NA, stage:3, alive, 750 days
1490.0
DO45191
61 years, female, NA, stage:2, alive, 1200 days
1464.1
DO48719
80 years, male, NA, stage:2, alive, 690 days
1445.9
DO23521
63 years, male, NA, stage:3, alive, 1110 days
1443.7
DO23511
83 years, female, NA, stage:3, dead, 180 days
1401.3
DO45099
46 years, male, NA, stage:3, alive, 1590 days
1377.2
DO50807
67 years, male, NA, stage:1, alive, 540 days
1373.5
DO45107
63 years, female, NA, stage:2, alive, 1710 days
1351.5
DO23538
67 years, male, NA, stage:2, alive, 450 days
1341.4
DO50819
72 years, female, NA, stage:2, alive, 510 days
1337.5
DO45269
59 years, male, NA, stage:3, alive, 750 days
1333.9
DO45137
38 years, male, NA, stage:1, alive, 1320 days
1300.2
DO45092
62 years, male, NA, stage:4, dead, 1200 days
1276.0
DO45159
65 years, male, NA, stage:3, alive, 1470 days
1266.3
DO50808
68 years, male, NA, stage:2, alive, 570 days
1226.1
DO45141
73 years, male, NA, stage:2, alive, 1320 days
1224.0
DO48717
54 years, male, NA, stage:4, dead, 180 days
1223.9
DO48721
58 years, female, NA, stage:1, alive, 900 days
1221.1
DO23531
78 years, female, NA, stage:3, alive, 900 days
1160.6
DO45153
77 years, female, NA, stage:2, alive, 1380 days
1141.1
DO50813
56 years, male, NA, stage:2, alive, 420 days
1140.3
DO45231
84 years, male, NA, stage:2, alive, 930 days
1130.0
DO48761
55 years, male, NA, stage:2, alive, 870 days
1127.7
DO23519
65 years, male, NA, stage:3, alive, 630 days
1108.0
DO48728
74 years, female, NA, stage:2, alive, 150 days
1093.3
DO45181
84 years, female, NA, stage:2, alive, 1200 days
1080.2
DO23545
67 years, male, NA, stage:2, dead, 570 days
1069.3
DO45109
63 years, male, NA, stage:2, alive, 1590 days
1064.9
DO48681
57 years, male, NA, stage:2, alive, 900 days
1050.3
DO48742
76 years, male, NA, stage:2, alive, 600 days
1048.7
DO50844
75 years, male, NA, stage:4, alive, 300 days
1047.2
DO50820
77 years, female, NA, stage:3, alive, 510 days
1025.2
DO48727
81 years, female, NA, stage:2, dead, 390 days
1009.6
DO50787
63 years, male, NA, stage:3, alive, 480 days
1008.5
DO45281
83 years, male, NA, stage:4, alive, 750 days
1006.6
DO45161
74 years, male, NA, stage:2, dead, 540 days
999.3
DO23512
60 years, male, NA, stage:1, alive, 1260 days
951.4
DO45241
49 years, male, NA, stage:1, alive, 1080 days
949.7
DO45237
58 years, male, NA, stage:2, alive, 900 days
949.0
DO45253
50 years, male, NA, stage:2, alive, 870 days
947.2
DO50822
66 years, male, NA, stage:2, alive, 510 days
914.6
DO23543
63 years, male, NA, stage:2, alive, 1020 days
891.0
DO45115
81 years, male, NA, stage:2, alive, 840 days
883.8
DO45183
72 years, female, NA, stage:2, dead, 570 days
858.5
DO48743
69 years, female, NA, stage:2, alive, 570 days
857.7
DO48679
72 years, male, NA, stage:2, alive, 1200 days
857.6
DO45201
49 years, male, NA, stage:1, alive, 900 days
857.6
DO45265
73 years, male, NA, stage:3, alive, 1020 days
857.6
DO45273
62 years, male, NA, stage:2, alive, 480 days
852.1
DO45223
67 years, male, NA, stage:4, alive, 1020 days
844.2
DO50799
66 years, female, NA, stage:2, alive, 540 days
841.3
DO45197
51 years, male, NA, stage:2, alive, 1170 days
834.5
DO50850
74 years, male, NA, stage:3, alive, 720 days
820.2
DO48751
68 years, male, NA, stage:2, dead, 480 days
801.4
DO48732
73 years, male, NA, stage:3, alive, 630 days
796.0
DO48674
80 years, male, NA, stage:2, alive, 1260 days
774.1
DO45127
73 years, male, NA, stage:3, dead, 420 days
749.7
DO23524
71 years, female, NA, stage:2, alive, 1050 days
746.2
DO23537
79 years, male, NA, stage:2, dead, 900 days
745.6
DO45213
58 years, male, NA, stage:1, alive, 1200 days
712.3
DO23548
78 years, female, NA, stage:1, alive, 840 days
691.6
DO50793
76 years, male, NA, stage:4, alive, 540 days
685.2
DO48697
64 years, female, NA, stage:2, dead, 810 days
667.5
DO50809
56 years, male, NA, stage:3, dead, 720 days
654.6
DO45275
65 years, male, NA, stage:3, dead, 10 days
642.5
DO45225
69 years, male, NA, stage:1, alive, 1050 days
627.4
DO48757
68 years, female, NA, stage:3, alive, 480 days
623.0
DO23549
74 years, male, NA, stage:3, alive, 990 days
608.0
DO48733
72 years, male, NA, stage:2, alive, 600 days
605.7
DO48730
73 years, female, NA, stage:2, alive, 630 days
602.3
DO45093
71 years, male, NA, stage:2, dead, 720 days
598.1
DO23532
71 years, female, NA, stage:1, alive, 960 days
596.8
DO50818
65 years, male, NA, stage:2, alive, 510 days
594.1
DO48720
62 years, female, NA, stage:2, alive, 570 days
582.4
DO50840
49 years, male, NA, stage:2, alive, 330 days
581.3
DO23530
53 years, male, NA, stage:4, dead, 180 days
575.4
DO45121
61 years, male, NA, stage:3, alive, 1530 days
573.1
DO23541
65 years, male, NA, stage:2, alive, 930 days
568.5
DO45233
83 years, male, NA, stage:3, alive, 900 days
563.2
DO48672
81 years, male, NA, stage:2, alive, 450 days
553.2
DO45267
73 years, male, NA, stage:3, dead, 570 days
524.4
DO45227
57 years, female, NA, stage:2, alive, 1020 days
521.7
DO45203
71 years, female, NA, stage:2, alive, 1170 days
515.0
DO45175
74 years, male, NA, stage:2, alive, 1140 days
513.2
DO45129
61 years, male, NA, stage:3, alive, 1470 days
507.3
DO45113
58 years, male, NA, stage:3, alive, 1560 days
474.4
DO48715
58 years, female, NA, stage:2, dead, 690 days
469.7
DO23526
66 years, male, NA, stage:3, alive, 1050 days
464.2
DO45177
81 years, female, NA, stage:3, alive, 1260 days
458.9
DO45243
74 years, female, NA, stage:3, alive, 930 days
452.0
DO45155
69 years, male, NA, stage:2, alive, 2160 days
450.9
DO23508
79 years, female, NA, stage:2, alive, 390 days
434.5
DO45255
81 years, male, NA, stage:3, alive, 720 days
433.4
DO45139
63 years, male, NA, stage:3, alive, 1320 days
415.4
DO45179
78 years, female, NA, stage:2, alive, 600 days
403.0
DO50785
37 years, male, NA, stage:4, dead, 90 days
399.4
DO23546
63 years, male, NA, stage:2, alive, 1050 days
398.6
DO45217
69 years, female, NA, stage:3, dead, 270 days
397.0
DO50791
79 years, female, NA, stage:1, dead, 480 days
396.3
DO45173
63 years, male, NA, stage:3, alive, 1170 days
395.2
DO45105
61 years, male, NA, stage:1, alive, 1680 days
375.8
DO45247
31 years, female, NA, stage:2, alive, 210 days
362.3
DO48759
73 years, male, NA, stage:3, alive, 720 days
355.1
DO45145
78 years, male, NA, stage:3, dead, 60 days
352.1
DO45235
68 years, female, NA, stage:1, alive, 900 days
350.3
DO23536
56 years, male, NA, stage:2, alive, 930 days
333.2
DO23528
45 years, female, NA, stage:2, alive, 1020 days
331.3
DO50811
62 years, male, NA, stage:1, alive, 450 days
329.6
DO50859
77 years, male, NA, stage:2, alive, 180 days
328.7
DO45111
74 years, male, NA, stage:2, alive, 1590 days
312.7
DO23533
61 years, male, NA, stage:2, alive, 900 days
293.9
DO23540
73 years, male, NA, stage:1, alive, 750 days
293.2
DO48706
72 years, male, NA, stage:2, alive, 870 days
284.1
DO45101
63 years, male, NA, stage:2, alive, 1680 days
279.3
DO45163
76 years, male, NA, stage:2, alive, 960 days
268.1
DO48701
78 years, male, NA, stage:2, alive, 780 days
262.0
DO45123
78 years, female, NA, stage:2, dead, 570 days
261.2
DO23542
66 years, male, NA, stage:3, alive, 960 days
258.9
DO48736
76 years, female, NA, stage:1, alive, 600 days
249.3
DO45133
64 years, male, NA, stage:3, dead, 660 days
245.7
DO23514
64 years, male, NA, stage:2, alive, 1290 days
244.9
DO48747
62 years, male, NA, stage:3, alive, 540 days
227.4
DO45149
70 years, female, NA, stage:2, alive, 1260 days
226.4
DO23547
74 years, male, NA, stage:1, alive, 1020 days
214.8
DO45209
70 years, male, NA, stage:4, alive, 1350 days
202.5
DO45171
56 years, male, NA, stage:3, alive, 600 days
200.4
DO23515
71 years, male, NA, stage:2, alive, 1230 days
193.4
DO23529
72 years, male, NA, stage:4, alive, 930 days
193.0
DO50778
60 years, male, NA, stage:4, alive, 630 days
170.5
DO45249
57 years, male, NA, stage:1, alive, 630 days
161.4
DO45219
78 years, male, NA, stage:2, alive, 1080 days
149.7
DO23516
69 years, male, NA, stage:3, dead, 20 days
148.6
DO50817
75 years, male, NA, stage:2, alive, 390 days
148.2
DO45303
62 years, female, NA, stage:3, alive, 990 days
145.6
DO45301
56 years, male, NA, stage:2, dead, 1440 days
144.6
DO50832
73 years, male, NA, stage:3, alive, 90 days
133.9
DO50815
62 years, male, NA, stage:3, alive, 150 days
119.1
DO50829
78 years, male, NA, stage:3, alive, 570 days
115.9
DO45207
68 years, male, NA, stage:1, alive, 1050 days
109.1
DO50816
63 years, male, NA, stage:2, alive, 390 days
96.7
DO45251
57 years, female, NA, stage:2, alive, 900 days
91.9
DO48741
64 years, male, NA, stage:3, alive, 240 days
88.0
DO50804
81 years, male, NA, stage:2, alive, 720 days
85.1
DO48677
58 years, male, NA, stage:3, alive, 1140 days
85.1
DO50783
62 years, male, NA, stage:3, alive, 480 days
84.4
DO50798
77 years, male, NA, stage:3, dead, 30 days
81.6
DO45259
65 years, male, NA, stage:3, alive, 330 days
81.5
DO50802
49 years, male, NA, stage:2, alive, 930 days
81.3
DO45097
69 years, male, NA, stage:3, alive, 1620 days
75.7
DO23539
77 years, male, NA, stage:1, alive, 1110 days
72.3
DO23534
60 years, male, NA, stage:2, alive, 840 days
71.7
DO45185
89 years, male, NA, stage:2, alive, 600 days
69.4
DO45205
67 years, female, NA, stage:2, dead, 90 days
66.7
DO50839
47 years, female, NA, stage:3, alive, 330 days
53.0
DO45305
66 years, male, NA, stage:4, alive, 300 days
51.2
DO48695
77 years, male, NA, stage:2, alive, 720 days
42.3
DO45125
58 years, male, NA, stage:3, alive, 1680 days
40.7
DO50855
47 years, male, NA, stage:2, alive, 570 days
39.6
DO45239
42 years, male, NA, stage:2, alive, 870 days
32.4
DO48746
76 years, male, NA, stage:3, alive, 570 days
26.2
DO45287
74 years, male, NA, stage:1, alive, 390 days
25.3
DO50814
83 years, male, NA, stage:3, alive, 420 days
22.7
DO23513
76 years, male, NA, stage:3, alive, 1200 days
21.8
DO45283
60 years, male, NA, stage:3, alive, 510 days
19.6
DO45279
67 years, male, NA, stage:3, alive, 1290 days
14.9
DO45277
64 years, male, NA, stage:3, alive, 600 days
14.7
DO45189
85 years, female, NA, stage:2, alive, 1200 days
13.1
DO45289
78 years, female, NA, stage:3, alive, 360 days
10.6
DO45245
75 years, female, NA, stage:2, dead, 240 days
5.8
DO45307
54 years, female, NA, stage:4, dead, 240 days
3.6
DO23523
52 years, male, NA, stage:3, alive, 1080 days
3.5
DO45285
59 years, male, NA, stage:3, alive, 480 days
1.7
DO45211
76 years, male, NA, stage:3, alive, 240 days
1.3
DO45297
61 years, female, NA, stage:4, dead, 1260 days
1.2
DO45299
70 years, female, NA, stage:1, alive, 1440 days
0.7
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
1015
Tumor
2.3
937
Tumor
2.2
851
Tumor
2.2
745
Tumor
2.2
113
Tumor
2.0
697
Tumor
1.5
724
Normal
1.4
557
Tumor
1.4
191
Tumor
1.3
327
Tumor
1.3
497
Tumor
1.2
467
Tumor
1.1
395
Tumor
1.0
975
Tumor
0.9
635
Tumor
0.9
112
Tumor
0.9
526
Normal
0.9
368
Normal
0.9
223
Tumor
0.8
536
Normal
0.8
286
Normal
0.8
217
Tumor
0.8
135
Tumor
0.7
218
Normal
0.7
1013
Tumor
0.7
696
Normal
0.7
195
Tumor
0.7
228
Normal
0.7
1025
Tumor
0.7
267
Tumor
0.7
257
Tumor
0.7
391
Tumor
0.6
383
Tumor
0.6
857
Tumor
0.6
363
Tumor
0.6
524
Normal
0.6
755
Tumor
0.6
227
Tumor
0.6
427
Tumor
0.6
817
Tumor
0.6
1021
Tumor
0.5
393
Tumor
0.5
344
Normal
0.5
617
Tumor
0.5
713
Tumor
0.5
981
Tumor
0.4
1026
Normal
0.4
1045
Tumor
0.4
492
Normal
0.4
125
Tumor
0.4
392
Normal
0.4
1028
Normal
0.3
924
Normal
0.3
873
Tumor
0.3
558
Normal
0.3
463
Tumor
0.3
665
Tumor
0.3
728
Normal
0.3
498
Normal
0.3
955
Tumor
0.3
963
Tumor
0.3
488
Normal
0.3
448
Normal
0.3
686
Normal
0.2
284
Normal
0.2
815
Tumor
0.2
923
Tumor
0.2
353
Tumor
0.2
527
Tumor
0.2
723
Tumor
0.2
571
Tumor
0.2
1044
Normal
0.2
984
Normal
0.2
538
Normal
0.2
518
Normal
0.1
978
Normal
0.1
881
Tumor
0.1
435
Tumor
0.1
351
Tumor
0.1
352
Normal
0.1
968
Normal
0.1
451
Tumor
0.1
528
Normal
0.1
722
Normal
0.1
187
Tumor
0.1
554
Normal
0.1
882
Normal
0.1
172
Normal
0.1
1016
Normal
0.1
212
Normal
0.1
671
Tumor
0.1
124
Normal
0.1
636
Normal
0.1
232
Normal
0.1
778
Normal
0.0
145
Tumor
0.0
925
Tumor
0.0
422
Normal
0.0
926
Normal
0.0
111
Normal
0.0
545
Tumor
0.0
568
Normal
0.0
494
Normal
0.0
976
Normal
0.0
142
Normal
0.0
574
Normal
0.0
956
Normal
0.0
493
Tumor
0.0
944
Normal
0.0
423
Tumor
0.0
487
Tumor
0.0
535
Tumor
0.0
567
Tumor
0.0
161
Tumor
-0.1
861
Tumor
-0.1
816
Normal
-0.1
642
Normal
-0.1
983
Tumor
-0.1
396
Normal
-0.1
966
Normal
-0.1
413
Tumor
-0.1
452
Normal
-0.1
474
Normal
-0.1
387
Tumor
-0.1
721
Tumor
-0.1
1014
Normal
-0.1
918
Normal
-0.1
823
Tumor
-0.1
425
Tumor
-0.1
672
Normal
-0.1
1022
Normal
-0.2
913
Tumor
-0.2
922
Normal
-0.2
537
Tumor
-0.2
137
Tumor
-0.2
564
Normal
-0.2
573
Tumor
-0.2
224
Normal
-0.2
138
Normal
-0.2
738
Normal
-0.2
446
Normal
-0.2
214
Normal
-0.2
343
Tumor
-0.2
698
Normal
-0.2
514
Normal
-0.2
866
Normal
-0.2
468
Normal
-0.2
412
Normal
-0.3
147
Tumor
-0.3
967
Tumor
-0.3
525
Tumor
-0.3
126
Normal
-0.3
426
Normal
-0.3
433
Tumor
-0.3
954
Normal
-0.3
447
Tumor
-0.3
746
Normal
-0.3
358
Normal
-0.3
361
Tumor
-0.3
1046
Normal
-0.3
411
Tumor
-0.3
517
Tumor
-0.3
957
Tumor
-0.3
466
Normal
-0.3
964
Normal
-0.3
953
Tumor
-0.3
491
Tumor
-0.3
114
Normal
-0.4
982
Normal
-0.4
756
Normal
-0.4
546
Normal
-0.4
384
Normal
-0.4
196
Normal
-0.4
444
Normal
-0.4
1043
Tumor
-0.4
421
Tumor
-0.4
572
Normal
-0.4
714
Normal
-0.4
222
Normal
-0.4
916
Normal
-0.4
445
Tumor
-0.4
357
Tumor
-0.4
341
Tumor
-0.4
456
Normal
-0.4
534
Normal
-0.4
616
Normal
-0.4
354
Normal
-0.4
332
Normal
-0.5
852
Normal
-0.5
141
Tumor
-0.5
952
Normal
-0.5
313
Tumor
-0.5
298
Normal
-0.5
386
Normal
-0.5
434
Normal
-0.5
415
Tumor
-0.5
958
Normal
-0.5
938
Normal
-0.5
432
Normal
-0.5
221
Tumor
-0.5
127
Tumor
-0.5
864
Normal
-0.5
883
Tumor
-0.5
478
Normal
-0.5
262
Normal
-0.5
533
Tumor
-0.6
356
Normal
-0.6
455
Tumor
-0.6
342
Normal
-0.6
394
Normal
-0.6
231
Tumor
-0.6
186
Normal
-0.6
258
Normal
-0.6
666
Normal
-0.6
858
Normal
-0.6
388
Normal
-0.6
278
Normal
-0.6
268
Normal
-0.6
123
Tumor
-0.6
862
Normal
-0.6
375
Tumor
-0.6
471
Tumor
-0.6
878
Normal
-0.6
331
Tumor
-0.6
464
Normal
-0.6
462
Normal
-0.6
128
Normal
-0.6
148
Normal
-0.6
314
Normal
-0.7
185
Tumor
-0.7
132
Normal
-0.7
477
Tumor
-0.7
786
Normal
-0.7
428
Normal
-0.7
742
Normal
-0.7
484
Normal
-0.7
328
Normal
-0.7
1042
Normal
-0.7
818
Normal
-0.7
285
Tumor
-0.7
277
Tumor
-0.7
414
Normal
-0.7
416
Normal
-0.7
744
Normal
-0.7
628
Normal
-0.7
618
Normal
-0.7
965
Tumor
-0.7
192
Normal
-0.7
615
Tumor
-0.7
436
Normal
-0.7
385
Tumor
-0.7
737
Tumor
-0.7
865
Tumor
-0.7
648
Normal
-0.8
1032
Normal
-0.8
472
Normal
-0.8
824
Normal
-0.8
715
Tumor
-0.8
364
Normal
-0.8
716
Normal
-0.8
814
Normal
-0.8
376
Normal
-0.8
912
Normal
-0.8
188
Normal
-0.9
917
Tumor
-0.9
516
Normal
-0.9
136
Normal
-0.9
727
Tumor
-0.9
465
Tumor
-0.9
914
Normal
-0.9
424
Normal
-0.9
664
Normal
-0.9
641
Tumor
-0.9
513
Tumor
-0.9
482
Normal
-0.9
563
Tumor
-0.9
213
Tumor
-0.9
662
Normal
-1.0
146
Normal
-1.0
943
Tumor
-1.0
366
Normal
-1.0
443
Tumor
-1.0
868
Normal
-1.0
777
Tumor
-1.1
162
Normal
-1.1
1031
Tumor
-1.1
785
Tumor
-1.1
523
Tumor
-1.1
261
Tumor
-1.1
312
Normal
-1.1
647
Tumor
-1.1
874
Normal
-1.2
663
Tumor
-1.2
877
Tumor
-1.2
483
Tumor
-1.2
813
Tumor
-1.2
951
Tumor
-1.2
311
Tumor
-1.2
283
Tumor
-1.3
431
Tumor
-1.3
627
Tumor
-1.3
362
Normal
-1.3
977
Tumor
-1.3
553
Tumor
-1.3
695
Tumor
-1.3
272
Normal
-1.3
863
Tumor
-1.3
297
Tumor
-1.3
367
Tumor
-1.3
481
Tumor
-1.4
461
Tumor
-1.4
171
Tumor
-1.5
355
Tumor
-1.5
884
Normal
-1.5
921
Tumor
-1.5
473
Tumor
-1.5
1041
Tumor
-1.6
1027
Tumor
-1.6
365
Tumor
-1.6
685
Tumor
-1.7
741
Tumor
-1.7
131
Tumor
-1.8
867
Tumor
-1.8
515
Tumor
-1.9
211
Tumor
-2.0
271
Tumor
-2.0
743
Tumor
-2.1
915
Tumor
-2.2
661
Tumor
-3.1
911
Tumor
-3.1
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.