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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.
SOD1 is not prognostic in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
762.8
Number of samples
362
Samples
Sample
Description
TPM
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
2413.9
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
2171.5
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
1999.1
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
1904.6
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
1879.9
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
1837.1
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
1822.5
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
1766.6
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
1735.0
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
1694.7
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
1677.3
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
1667.4
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
1659.5
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
1636.8
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1577.5
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1512.9
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
1511.4
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
1504.2
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
1486.3
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
1482.4
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
1480.7
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
1473.2
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
1471.7
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
1459.9
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
1454.7
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1448.8
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
1431.2
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
1424.8
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
1413.8
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
1409.0
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
1401.2
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
1388.9
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
1382.8
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
1374.7
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
1370.3
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
1358.9
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
1358.6
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
1348.4
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
1314.9
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
1312.6
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
1308.3
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1296.2
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1296.2
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
1292.0
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
1268.1
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
1265.1
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
1250.3
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
1241.5
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
1241.3
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
1231.4
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
1227.8
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
1192.9
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
1187.4
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
1186.7
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
1171.3
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
1163.3
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
1162.7
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
1147.7
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
1147.7
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
1133.4
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
1132.7
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
1125.8
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
1104.7
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
1097.5
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
1083.1
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
1082.7
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
1080.2
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
1075.7
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1069.4
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
1064.7
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
1064.5
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
1061.4
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
1049.9
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
1045.1
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
1044.6
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
1042.8
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1037.8
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
1035.0
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
1033.2
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
1032.5
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
1025.4
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
1024.4
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
1021.7
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
1021.0
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
1019.9
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
1017.8
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
1002.2
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
999.8
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
991.0
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
990.6
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
989.4
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
988.1
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
982.1
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
981.0
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
980.3
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
977.5
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
976.7
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
975.7
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
972.7
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
967.6
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
955.8
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
948.5
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
947.4
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
946.7
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
945.1
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
944.0
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
937.4
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
937.0
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
933.7
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
928.1
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
917.3
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
904.4
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
901.1
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
899.5
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
899.3
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
897.5
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
897.2
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
897.0
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
895.2
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
885.9
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
884.1
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
883.5
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
872.4
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
866.5
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
861.4
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
857.2
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
852.2
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
848.1
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
847.2
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
840.7
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
839.2
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
838.7
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
836.8
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
833.9
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
831.9
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
830.2
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
828.8
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
828.2
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
826.2
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
819.9
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
817.5
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
804.8
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
803.5
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
802.3
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
802.3
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
801.3
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
801.3
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
801.1
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
797.2
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
796.6
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
795.4
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
789.7
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
786.7
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
785.6
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
784.9
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
779.8
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
779.3
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
775.8
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
768.8
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
767.6
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
762.6
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
762.5
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
762.3
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
754.6
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
751.7
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
751.4
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
734.9
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
734.9
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
734.2
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
733.6
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
731.7
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
730.7
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
730.1
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
727.8
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
726.8
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
723.3
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
722.9
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
718.6
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
707.1
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
701.3
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
699.2
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
694.9
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
694.4
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
691.2
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
689.8
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
688.3
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
683.4
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
673.4
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
672.7
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
665.4
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
658.8
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
656.1
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
650.3
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
640.5
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
637.5
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
636.5
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
636.1
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
635.5
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
635.3
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
634.8
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
633.2
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
624.2
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
619.5
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
618.2
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
617.6
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
613.5
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
611.2
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
610.1
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
604.6
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
602.3
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
597.9
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
595.2
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
588.1
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
584.6
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
581.5
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
581.1
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
581.0
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
580.3
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
579.1
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
571.1
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
568.2
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
567.3
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
567.0
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
564.2
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
562.8
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
561.3
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
559.5
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
554.8
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
548.6
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
548.3
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
541.1
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
540.2
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
537.8
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
536.4
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
530.4
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
529.5
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
529.0
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
526.5
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
524.1
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
523.2
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
521.7
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
521.6
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
515.4
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
512.0
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
508.2
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
508.0
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
506.2
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
505.5
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
501.2
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
499.6
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
499.2
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
494.3
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
491.6
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
491.2
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
488.1
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
483.9
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
476.5
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
473.1
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
472.4
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
463.2
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
459.5
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
456.3
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
454.1
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
450.9
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
444.7
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
444.1
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
443.6
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
443.6
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
439.8
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
439.0
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
438.4
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
438.3
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
434.9
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
433.8
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
433.4
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
430.9
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
429.9
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
429.9
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
428.4
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
428.0
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
426.6
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
423.4
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
422.6
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
422.2
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
420.3
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
420.2
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
415.5
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
413.2
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
412.5
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
412.2
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
411.7
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
410.4
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
404.4
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
401.6
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
399.9
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
399.7
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
396.3
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
388.9
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
386.8
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
386.1
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
385.1
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
385.1
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
382.5
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
381.4
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
375.5
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
366.2
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
362.8
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
360.4
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
360.1
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
359.3
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
357.8
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
351.7
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
341.2
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
339.1
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
337.2
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
337.0
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
336.1
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
332.2
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
332.0
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
331.7
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
327.7
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
323.5
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
323.2
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
322.8
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
321.1
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
321.0
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
319.7
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
315.7
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
313.4
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
312.4
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
312.2
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
312.0
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
308.9
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
298.5
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
298.5
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
297.9
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
296.7
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
295.0
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
284.8
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
282.1
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
281.1
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
278.3
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
276.5
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
271.2
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
263.9
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
261.6
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
258.3
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
257.7
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
254.1
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
245.7
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
243.8
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
238.5
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
237.1
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
236.0
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
224.2
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
217.0
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
207.5
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
200.3
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
198.6
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
187.9
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
173.4
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 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.
SOD1 is not prognostic in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
665.5
Number of samples
231
Samples
Sample
Description
TPM
DO45175
74 years, male, NA, stage:2, alive, 1140 days
2751.5
DO48695
77 years, male, NA, stage:2, alive, 720 days
2023.5
DO48679
72 years, male, NA, stage:2, alive, 1200 days
1983.1
DO45097
69 years, male, NA, stage:3, alive, 1620 days
1970.3
DO50839
47 years, female, NA, stage:3, alive, 330 days
1962.3
DO50798
77 years, male, NA, stage:3, dead, 30 days
1713.1
DO48672
81 years, male, NA, stage:2, alive, 450 days
1653.0
DO23533
61 years, male, NA, stage:2, alive, 900 days
1630.0
DO45163
76 years, male, NA, stage:2, alive, 960 days
1483.5
DO50814
83 years, male, NA, stage:3, alive, 420 days
1445.2
DO45123
78 years, female, NA, stage:2, dead, 570 days
1433.8
DO45129
61 years, male, NA, stage:3, alive, 1470 days
1430.0
DO48723
73 years, male, NA, stage:1, alive, 600 days
1425.2
DO50811
62 years, male, NA, stage:1, alive, 450 days
1416.5
DO23509
60 years, male, NA, stage:3, dead, 780 days
1400.2
DO45133
64 years, male, NA, stage:3, dead, 660 days
1385.8
DO50822
66 years, male, NA, stage:2, alive, 510 days
1381.0
DO48741
64 years, male, NA, stage:3, alive, 240 days
1370.1
DO50818
65 years, male, NA, stage:2, alive, 510 days
1323.4
DO50817
75 years, male, NA, stage:2, alive, 390 days
1319.4
DO48719
80 years, male, NA, stage:2, alive, 690 days
1316.4
DO45169
74 years, male, NA, stage:3, alive, 1350 days
1249.3
DO45281
83 years, male, NA, stage:4, alive, 750 days
1235.4
DO50816
63 years, male, NA, stage:2, alive, 390 days
1228.1
DO227643
79 years, male, NA, stage:2, alive, 1260 days
1187.8
DO23512
60 years, male, NA, stage:1, alive, 1260 days
1186.9
DO48674
80 years, male, NA, stage:2, alive, 1260 days
1176.2
DO48716
71 years, male, NA, stage:2, alive, 720 days
1170.2
DO45201
49 years, male, NA, stage:1, alive, 900 days
1168.5
DO50825
70 years, male, NA, stage:2, alive, 390 days
1154.4
DO48759
73 years, male, NA, stage:3, alive, 720 days
1139.9
DO45197
51 years, male, NA, stage:2, alive, 1170 days
1137.5
DO48677
58 years, male, NA, stage:3, alive, 1140 days
1106.2
DO45253
50 years, male, NA, stage:2, alive, 870 days
1104.7
DO50776
75 years, male, NA, stage:1, alive, 690 days
1103.2
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1096.3
DO45171
56 years, male, NA, stage:3, alive, 600 days
1068.2
DO45229
74 years, male, NA, stage:1, alive, 990 days
1054.8
DO50783
62 years, male, NA, stage:3, alive, 480 days
1044.2
DO45261
74 years, male, NA, stage:3, alive, 990 days
1033.1
DO45125
58 years, male, NA, stage:3, alive, 1680 days
1027.6
DO23542
66 years, male, NA, stage:3, alive, 960 days
1004.0
DO23514
64 years, male, NA, stage:2, alive, 1290 days
988.9
DO45227
57 years, female, NA, stage:2, alive, 1020 days
987.6
DO48693
71 years, male, NA, stage:2, alive, 900 days
985.5
DO23519
65 years, male, NA, stage:3, alive, 630 days
983.2
DO50807
67 years, male, NA, stage:1, alive, 540 days
976.3
DO50805
72 years, male, NA, stage:2, alive, 690 days
969.2
DO45267
73 years, male, NA, stage:3, dead, 570 days
965.9
DO45109
63 years, male, NA, stage:2, alive, 1590 days
944.0
DO45235
68 years, female, NA, stage:1, alive, 900 days
936.4
DO45092
62 years, male, NA, stage:4, dead, 1200 days
925.5
DO50832
73 years, male, NA, stage:3, alive, 90 days
907.8
DO23543
63 years, male, NA, stage:2, alive, 1020 days
902.1
DO23529
72 years, male, NA, stage:4, alive, 930 days
896.8
DO45095
66 years, male, NA, stage:2, alive, 1620 days
871.0
DO50789
73 years, female, NA, stage:2, alive, 570 days
853.2
DO45255
81 years, male, NA, stage:3, alive, 720 days
834.9
DO50857
72 years, male, NA, stage:2, alive, 210 days
834.1
DO23544
67 years, male, NA, stage:2, alive, 960 days
834.0
DO23536
56 years, male, NA, stage:2, alive, 930 days
828.7
DO50774
68 years, female, NA, stage:2, alive, 720 days
828.3
DO23548
78 years, female, NA, stage:1, alive, 840 days
824.4
DO50859
77 years, male, NA, stage:2, alive, 180 days
822.4
DO45094
76 years, male, NA, stage:3, alive, 1650 days
817.5
DO50791
79 years, female, NA, stage:1, dead, 480 days
803.9
DO23513
76 years, male, NA, stage:3, alive, 1200 days
801.2
DO48704
68 years, female, NA, stage:3, alive, 750 days
798.5
DO23527
72 years, male, NA, stage:1, alive, 1050 days
788.4
DO23518
67 years, male, NA, stage:2, alive, 1320 days
785.7
DO45099
46 years, male, NA, stage:3, alive, 1590 days
783.0
DO45161
74 years, male, NA, stage:2, dead, 540 days
778.7
DO50850
74 years, male, NA, stage:3, alive, 720 days
770.2
DO50808
68 years, male, NA, stage:2, alive, 570 days
769.6
DO23551
73 years, male, NA, stage:3, dead, 150 days
760.6
DO45143
69 years, male, NA, stage:3, alive, 1290 days
760.1
DO45107
63 years, female, NA, stage:2, alive, 1710 days
750.5
DO227801
77 years, female, NA, stage:1, alive, 660 days
738.5
DO23531
78 years, female, NA, stage:3, alive, 900 days
738.4
DO50793
76 years, male, NA, stage:4, alive, 540 days
735.8
DO48742
76 years, male, NA, stage:2, alive, 600 days
721.7
DO23541
65 years, male, NA, stage:2, alive, 930 days
717.9
DO45195
62 years, male, NA, stage:1, alive, 390 days
717.1
DO45181
84 years, female, NA, stage:2, alive, 1200 days
698.7
DO23517
62 years, male, NA, stage:2, alive, 1200 days
697.7
DO48700
78 years, female, NA, stage:2, alive, 810 days
694.3
DO45119
74 years, male, NA, stage:3, dead, 510 days
685.5
DO23539
77 years, male, NA, stage:1, alive, 1110 days
682.2
DO50813
56 years, male, NA, stage:2, alive, 420 days
679.5
DO45165
75 years, male, NA, stage:2, alive, 690 days
677.9
DO45221
75 years, female, NA, stage:4, dead, 390 days
675.1
DO45117
73 years, female, NA, stage:2, dead, 1110 days
673.0
DO23552
80 years, female, NA, stage:1, alive, 810 days
672.8
DO48746
76 years, male, NA, stage:3, alive, 570 days
669.7
DO23540
73 years, male, NA, stage:1, alive, 750 days
669.0
DO45215
65 years, male, NA, stage:2, alive, 1170 days
655.6
DO50806
70 years, male, NA, stage:4, alive, 540 days
649.1
DO45093
71 years, male, NA, stage:2, dead, 720 days
644.4
DO48720
62 years, female, NA, stage:2, alive, 570 days
624.1
DO45177
81 years, female, NA, stage:3, alive, 1260 days
623.5
DO48760
70 years, female, NA, stage:2, alive, 690 days
609.4
DO50803
62 years, female, NA, stage:1, alive, 540 days
608.7
DO50809
56 years, male, NA, stage:3, dead, 720 days
606.5
DO48712
50 years, male, NA, stage:2, alive, 810 days
605.1
DO48727
81 years, female, NA, stage:2, dead, 390 days
603.0
DO23510
80 years, female, NA, stage:2, alive, 870 days
591.7
DO45225
69 years, male, NA, stage:1, alive, 1050 days
585.0
DO23532
71 years, female, NA, stage:1, alive, 960 days
582.3
DO50800
74 years, male, NA, stage:2, alive, 510 days
579.9
DO45205
67 years, female, NA, stage:2, dead, 90 days
574.8
DO50785
37 years, male, NA, stage:4, dead, 90 days
569.9
DO45153
77 years, female, NA, stage:2, alive, 1380 days
569.1
DO45141
73 years, male, NA, stage:2, alive, 1320 days
565.3
DO48743
69 years, female, NA, stage:2, alive, 570 days
562.1
DO45257
46 years, male, NA, stage:3, alive, 810 days
560.9
DO45091
56 years, male, NA, stage:2, dead, 1320 days
560.4
DO48733
72 years, male, NA, stage:2, alive, 600 days
558.6
DO48706
72 years, male, NA, stage:2, alive, 870 days
556.9
DO23538
67 years, male, NA, stage:2, alive, 450 days
556.6
DO48737
52 years, male, NA, stage:1, alive, 720 days
555.6
DO45159
65 years, male, NA, stage:3, alive, 1470 days
552.3
DO45115
81 years, male, NA, stage:2, alive, 840 days
547.1
DO48721
58 years, female, NA, stage:1, alive, 900 days
543.7
DO50840
49 years, male, NA, stage:2, alive, 330 days
541.6
DO23516
69 years, male, NA, stage:3, dead, 20 days
537.0
DO50799
66 years, female, NA, stage:2, alive, 540 days
533.4
DO45167
67 years, male, NA, stage:2, dead, 1440 days
528.5
DO48751
68 years, male, NA, stage:2, dead, 480 days
523.2
DO23528
45 years, female, NA, stage:2, alive, 1020 days
518.9
DO45101
63 years, male, NA, stage:2, alive, 1680 days
516.2
DO23550
69 years, male, NA, stage:1, alive, 990 days
496.4
DO50829
78 years, male, NA, stage:3, alive, 570 days
492.8
DO23526
66 years, male, NA, stage:3, alive, 1050 days
486.4
DO45207
68 years, male, NA, stage:1, alive, 1050 days
484.0
DO45121
61 years, male, NA, stage:3, alive, 1530 days
483.4
DO50804
81 years, male, NA, stage:2, alive, 720 days
480.4
DO45297
61 years, female, NA, stage:4, dead, 1260 days
478.6
DO45137
38 years, male, NA, stage:1, alive, 1320 days
477.0
DO45213
58 years, male, NA, stage:1, alive, 1200 days
475.1
DO45145
78 years, male, NA, stage:3, dead, 60 days
473.2
DO45233
83 years, male, NA, stage:3, alive, 900 days
472.2
DO45183
72 years, female, NA, stage:2, dead, 570 days
470.1
DO50802
49 years, male, NA, stage:2, alive, 930 days
469.7
DO48761
55 years, male, NA, stage:2, alive, 870 days
469.6
DO45263
67 years, male, NA, stage:3, dead, 270 days
468.3
DO48701
78 years, male, NA, stage:2, alive, 780 days
467.6
DO45173
63 years, male, NA, stage:3, alive, 1170 days
466.1
DO45243
74 years, female, NA, stage:3, alive, 930 days
459.7
DO45241
49 years, male, NA, stage:1, alive, 1080 days
457.6
DO23521
63 years, male, NA, stage:3, alive, 1110 days
456.6
DO45139
63 years, male, NA, stage:3, alive, 1320 days
455.9
DO23545
67 years, male, NA, stage:2, dead, 570 days
452.5
DO48732
73 years, male, NA, stage:3, alive, 630 days
451.9
DO45111
74 years, male, NA, stage:2, alive, 1590 days
446.8
DO45219
78 years, male, NA, stage:2, alive, 1080 days
444.5
DO45203
71 years, female, NA, stage:2, alive, 1170 days
442.6
DO48747
62 years, male, NA, stage:3, alive, 540 days
432.8
DO45299
70 years, female, NA, stage:1, alive, 1440 days
423.6
DO48697
64 years, female, NA, stage:2, dead, 810 days
421.8
DO23534
60 years, male, NA, stage:2, alive, 840 days
419.9
DO23537
79 years, male, NA, stage:2, dead, 900 days
417.6
DO23546
63 years, male, NA, stage:2, alive, 1050 days
417.5
DO45275
65 years, male, NA, stage:3, dead, 10 days
415.9
DO48757
68 years, female, NA, stage:3, alive, 480 days
413.9
DO45105
61 years, male, NA, stage:1, alive, 1680 days
413.8
DO48682
72 years, female, NA, stage:3, dead, 120 days
404.2
DO23508
79 years, female, NA, stage:2, alive, 390 days
401.0
DO45223
67 years, male, NA, stage:4, alive, 1020 days
391.9
DO45185
89 years, male, NA, stage:2, alive, 600 days
387.7
DO45135
77 years, male, NA, stage:1, alive, 1410 days
385.2
DO23535
67 years, male, NA, stage:1, alive, 960 days
380.1
DO50787
63 years, male, NA, stage:3, alive, 480 days
379.1
DO45096
69 years, male, NA, stage:2, dead, 1290 days
377.1
DO48725
66 years, male, NA, stage:1, alive, 780 days
375.0
DO45155
69 years, male, NA, stage:2, alive, 2160 days
374.4
DO23549
74 years, male, NA, stage:3, alive, 990 days
367.8
DO45273
62 years, male, NA, stage:2, alive, 480 days
363.9
DO45237
58 years, male, NA, stage:2, alive, 900 days
358.9
DO45307
54 years, female, NA, stage:4, dead, 240 days
354.0
DO48717
54 years, male, NA, stage:4, dead, 180 days
352.4
DO48736
76 years, female, NA, stage:1, alive, 600 days
350.9
DO48715
58 years, female, NA, stage:2, dead, 690 days
348.2
DO23511
83 years, female, NA, stage:3, dead, 180 days
344.2
DO23547
74 years, male, NA, stage:1, alive, 1020 days
343.8
DO45113
58 years, male, NA, stage:3, alive, 1560 days
335.8
DO45103
47 years, male, NA, stage:3, alive, 450 days
333.9
DO45199
86 years, female, NA, stage:2, alive, 1350 days
330.1
DO45131
53 years, male, NA, stage:4, dead, 360 days
326.5
DO45149
70 years, female, NA, stage:2, alive, 1260 days
312.9
DO45231
84 years, male, NA, stage:2, alive, 930 days
312.6
DO45157
62 years, male, NA, stage:2, alive, 1980 days
307.1
DO50819
72 years, female, NA, stage:2, alive, 510 days
288.8
DO45211
76 years, male, NA, stage:3, alive, 240 days
287.9
DO45303
62 years, female, NA, stage:3, alive, 990 days
280.2
DO45179
78 years, female, NA, stage:2, alive, 600 days
275.7
DO45217
69 years, female, NA, stage:3, dead, 270 days
275.3
DO45269
59 years, male, NA, stage:3, alive, 750 days
274.0
DO45247
31 years, female, NA, stage:2, alive, 210 days
273.1
DO45249
57 years, male, NA, stage:1, alive, 630 days
270.4
DO45191
61 years, female, NA, stage:2, alive, 1200 days
262.8
DO23524
71 years, female, NA, stage:2, alive, 1050 days
259.2
DO50820
77 years, female, NA, stage:3, alive, 510 days
257.0
DO45187
32 years, female, NA, stage:1, alive, 1260 days
250.3
DO45259
65 years, male, NA, stage:3, alive, 330 days
248.6
DO23530
53 years, male, NA, stage:4, dead, 180 days
246.0
DO45289
78 years, female, NA, stage:3, alive, 360 days
239.7
DO45301
56 years, male, NA, stage:2, dead, 1440 days
236.8
DO50778
60 years, male, NA, stage:4, alive, 630 days
220.3
DO45209
70 years, male, NA, stage:4, alive, 1350 days
219.7
DO45189
85 years, female, NA, stage:2, alive, 1200 days
210.2
DO50844
75 years, male, NA, stage:4, alive, 300 days
202.2
DO45127
73 years, male, NA, stage:3, dead, 420 days
199.8
DO23515
71 years, male, NA, stage:2, alive, 1230 days
195.4
DO50855
47 years, male, NA, stage:2, alive, 570 days
192.0
DO45251
57 years, female, NA, stage:2, alive, 900 days
183.9
DO45277
64 years, male, NA, stage:3, alive, 600 days
183.4
DO45287
74 years, male, NA, stage:1, alive, 390 days
177.6
DO45193
68 years, female, NA, stage:4, dead, 120 days
171.8
DO23523
52 years, male, NA, stage:3, alive, 1080 days
170.5
DO48728
74 years, female, NA, stage:2, alive, 150 days
169.5
DO45239
42 years, male, NA, stage:2, alive, 870 days
169.1
DO48681
57 years, male, NA, stage:2, alive, 900 days
164.2
DO45245
75 years, female, NA, stage:2, dead, 240 days
159.5
DO50815
62 years, male, NA, stage:3, alive, 150 days
155.5
DO45279
67 years, male, NA, stage:3, alive, 1290 days
151.7
DO50845
72 years, male, NA, stage:3, alive, 210 days
150.8
DO45283
60 years, male, NA, stage:3, alive, 510 days
150.0
DO45285
59 years, male, NA, stage:3, alive, 480 days
146.0
DO48730
73 years, female, NA, stage:2, alive, 630 days
116.2
DO45265
73 years, male, NA, stage:3, alive, 1020 days
102.5
DO45305
66 years, male, NA, stage:4, alive, 300 days
90.0
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LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
698
Normal
1.0
741
Tumor
1.0
477
Tumor
1.0
1022
Normal
0.9
746
Normal
0.9
742
Normal
0.9
723
Tumor
0.9
484
Normal
0.9
1041
Tumor
0.9
714
Normal
0.9
488
Normal
0.9
546
Normal
0.8
1026
Normal
0.8
1046
Normal
0.8
695
Tumor
0.8
744
Normal
0.8
862
Normal
0.8
342
Normal
0.8
882
Normal
0.8
938
Normal
0.8
878
Normal
0.8
924
Normal
0.8
1032
Normal
0.7
196
Normal
0.7
738
Normal
0.7
616
Normal
0.7
482
Normal
0.7
824
Normal
0.7
716
Normal
0.7
952
Normal
0.7
554
Normal
0.7
128
Normal
0.7
568
Normal
0.7
356
Normal
0.6
533
Tumor
0.6
912
Normal
0.6
778
Normal
0.6
756
Normal
0.6
915
Tumor
0.6
448
Normal
0.6
981
Tumor
0.6
298
Normal
0.6
572
Normal
0.6
858
Normal
0.6
958
Normal
0.6
696
Normal
0.6
332
Normal
0.6
426
Normal
0.6
222
Normal
0.6
571
Tumor
0.6
1014
Normal
0.6
1044
Normal
0.6
922
Normal
0.6
534
Normal
0.6
722
Normal
0.6
818
Normal
0.6
944
Normal
0.6
816
Normal
0.5
966
Normal
0.5
984
Normal
0.5
686
Normal
0.5
142
Normal
0.5
866
Normal
0.5
648
Normal
0.5
186
Normal
0.5
314
Normal
0.5
911
Tumor
0.5
968
Normal
0.5
664
Normal
0.5
786
Normal
0.5
436
Normal
0.5
964
Normal
0.5
728
Normal
0.5
462
Normal
0.5
867
Tumor
0.5
376
Normal
0.5
518
Normal
0.5
982
Normal
0.5
1028
Normal
0.5
954
Normal
0.5
148
Normal
0.5
472
Normal
0.5
412
Normal
0.4
538
Normal
0.4
864
Normal
0.4
615
Tumor
0.4
926
Normal
0.4
228
Normal
0.4
558
Normal
0.4
636
Normal
0.4
218
Normal
0.4
394
Normal
0.4
364
Normal
0.4
286
Normal
0.4
278
Normal
0.4
232
Normal
0.4
628
Normal
0.4
618
Normal
0.4
978
Normal
0.4
114
Normal
0.4
456
Normal
0.4
431
Tumor
0.4
422
Normal
0.4
494
Normal
0.4
162
Normal
0.4
976
Normal
0.4
388
Normal
0.4
445
Tumor
0.4
918
Normal
0.4
514
Normal
0.4
1016
Normal
0.4
852
Normal
0.4
481
Tumor
0.3
526
Normal
0.3
478
Normal
0.3
132
Normal
0.3
642
Normal
0.3
344
Normal
0.3
358
Normal
0.3
528
Normal
0.3
354
Normal
0.3
111
Normal
0.3
916
Normal
0.3
452
Normal
0.3
662
Normal
0.3
955
Tumor
0.3
214
Normal
0.3
258
Normal
0.3
564
Normal
0.3
861
Tumor
0.3
884
Normal
0.3
721
Tumor
0.3
136
Normal
0.3
513
Tumor
0.3
352
Normal
0.3
474
Normal
0.3
868
Normal
0.3
466
Normal
0.3
498
Normal
0.3
212
Normal
0.3
396
Normal
0.3
432
Normal
0.3
416
Normal
0.2
392
Normal
0.2
414
Normal
0.2
516
Normal
0.2
874
Normal
0.2
672
Normal
0.2
468
Normal
0.2
172
Normal
0.2
112
Tumor
0.2
525
Tumor
0.2
312
Normal
0.2
464
Normal
0.2
914
Normal
0.2
956
Normal
0.2
327
Tumor
0.2
124
Normal
0.2
284
Normal
0.2
446
Normal
0.2
666
Normal
0.2
423
Tumor
0.2
977
Tumor
0.2
574
Normal
0.2
451
Tumor
0.2
146
Normal
0.2
272
Normal
0.2
328
Normal
0.2
424
Normal
0.2
465
Tumor
0.2
261
Tumor
0.2
267
Tumor
0.1
428
Normal
0.1
224
Normal
0.1
386
Normal
0.1
415
Tumor
0.1
487
Tumor
0.1
366
Normal
0.1
368
Normal
0.1
1042
Normal
0.1
483
Tumor
0.1
161
Tumor
0.1
923
Tumor
0.1
492
Normal
0.1
865
Tumor
0.1
1013
Tumor
0.1
435
Tumor
0.1
384
Normal
0.1
715
Tumor
0.0
353
Tumor
0.0
138
Normal
0.0
536
Normal
0.0
362
Normal
0.0
126
Normal
0.0
357
Tumor
0.0
471
Tumor
0.0
262
Normal
0.0
113
Tumor
0.0
873
Tumor
0.0
524
Normal
0.0
627
Tumor
0.0
755
Tumor
-0.1
823
Tumor
-0.1
515
Tumor
-0.1
635
Tumor
-0.1
268
Normal
-0.1
434
Normal
-0.1
1043
Tumor
-0.1
361
Tumor
-0.1
553
Tumor
-0.1
355
Tumor
-0.1
1015
Tumor
-0.1
137
Tumor
-0.1
393
Tumor
-0.2
444
Normal
-0.2
185
Tumor
-0.2
217
Tumor
-0.2
785
Tumor
-0.2
1025
Tumor
-0.2
443
Tumor
-0.2
192
Normal
-0.2
433
Tumor
-0.2
425
Tumor
-0.2
563
Tumor
-0.2
685
Tumor
-0.2
925
Tumor
-0.2
857
Tumor
-0.2
188
Normal
-0.3
1031
Tumor
-0.3
727
Tumor
-0.3
1045
Tumor
-0.3
195
Tumor
-0.3
963
Tumor
-0.3
1021
Tumor
-0.3
883
Tumor
-0.3
663
Tumor
-0.3
227
Tumor
-0.3
537
Tumor
-0.4
957
Tumor
-0.4
147
Tumor
-0.4
567
Tumor
-0.4
171
Tumor
-0.4
231
Tumor
-0.4
617
Tumor
-0.4
573
Tumor
-0.4
395
Tumor
-0.4
953
Tumor
-0.4
527
Tumor
-0.4
1027
Tumor
-0.4
127
Tumor
-0.4
951
Tumor
-0.5
517
Tumor
-0.5
737
Tumor
-0.5
421
Tumor
-0.5
365
Tumor
-0.5
363
Tumor
-0.5
493
Tumor
-0.5
813
Tumor
-0.5
141
Tumor
-0.5
191
Tumor
-0.5
145
Tumor
-0.5
647
Tumor
-0.5
447
Tumor
-0.6
473
Tumor
-0.6
221
Tumor
-0.6
863
Tumor
-0.6
697
Tumor
-0.6
641
Tumor
-0.6
411
Tumor
-0.6
745
Tumor
-0.6
975
Tumor
-0.6
937
Tumor
-0.6
814
Normal
-0.6
965
Tumor
-0.6
123
Tumor
-0.6
277
Tumor
-0.6
713
Tumor
-0.6
257
Tumor
-0.7
913
Tumor
-0.7
917
Tumor
-0.7
461
Tumor
-0.7
967
Tumor
-0.7
387
Tumor
-0.7
921
Tumor
-0.7
427
Tumor
-0.7
665
Tumor
-0.7
881
Tumor
-0.8
817
Tumor
-0.8
491
Tumor
-0.8
187
Tumor
-0.8
943
Tumor
-0.8
523
Tumor
-0.8
341
Tumor
-0.8
223
Tumor
-0.8
391
Tumor
-0.8
271
Tumor
-0.8
311
Tumor
-0.8
213
Tumor
-0.9
131
Tumor
-0.9
557
Tumor
-0.9
777
Tumor
-0.9
297
Tumor
-1.0
815
Tumor
-1.0
851
Tumor
-1.1
413
Tumor
-1.1
125
Tumor
-1.1
383
Tumor
-1.1
135
Tumor
-1.1
724
Normal
-1.1
455
Tumor
-1.1
983
Tumor
-1.1
467
Tumor
-1.1
313
Tumor
-1.1
545
Tumor
-1.2
877
Tumor
-1.2
463
Tumor
-1.3
497
Tumor
-1.3
343
Tumor
-1.3
331
Tumor
-1.3
283
Tumor
-1.3
375
Tumor
-1.4
743
Tumor
-1.4
285
Tumor
-1.5
367
Tumor
-1.5
535
Tumor
-1.6
351
Tumor
-1.6
211
Tumor
-1.6
671
Tumor
-1.7
661
Tumor
-1.8
385
Tumor
-1.9
Show allShow less
LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
