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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.
GPX3 is not prognostic in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
612.1
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
7154.9
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
4798.0
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
3985.3
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
3651.7
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
2908.1
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
2725.6
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
2554.1
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
2457.5
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
2367.2
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
2274.6
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
2156.6
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
2121.3
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
2103.2
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
1966.1
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
1959.7
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
1932.7
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1897.5
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
1850.9
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
1774.1
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
1740.8
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
1679.1
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
1664.6
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
1661.3
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
1626.4
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
1590.6
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1579.5
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
1573.9
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
1416.0
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
1402.1
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
1388.1
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
1382.4
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
1366.0
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1345.6
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
1335.7
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
1334.6
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
1301.5
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
1285.3
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
1222.5
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
1198.2
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
1146.2
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
1144.8
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
1134.2
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
1132.5
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
1130.8
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
1117.1
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
1114.4
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
1092.3
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
1081.5
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
1047.8
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
1023.7
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
1017.9
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
1009.7
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
977.5
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
973.9
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
973.1
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
967.2
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
946.9
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
937.6
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
934.8
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
928.2
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
922.2
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
915.7
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
907.1
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
906.5
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
900.3
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
892.7
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
888.3
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
888.0
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
885.4
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
881.0
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
870.1
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
859.6
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
857.2
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
848.0
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
843.1
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
826.4
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
818.2
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
818.1
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
811.2
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
808.2
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
799.5
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
790.8
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
786.6
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
773.2
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
768.5
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
768.1
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
767.2
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
762.7
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
753.9
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
753.7
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
750.3
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
747.4
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
740.8
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
735.5
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
731.6
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
728.4
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
722.7
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
721.1
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
719.5
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
713.0
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
710.5
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
706.6
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
700.7
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
696.8
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
689.0
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
688.2
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
681.6
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
680.7
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
665.3
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
659.3
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
648.5
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
644.5
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
641.0
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
639.7
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
638.1
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
637.2
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
635.9
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
634.9
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
629.1
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
622.4
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
612.8
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
610.8
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
609.4
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
609.3
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
607.5
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
605.3
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
603.9
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
603.7
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
600.7
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
600.3
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
592.9
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
591.9
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
584.3
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
581.1
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
577.3
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
572.9
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
570.1
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
559.9
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
556.4
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
554.6
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
547.1
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
546.5
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
546.2
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
539.5
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
538.7
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
533.4
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
526.2
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
525.3
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
522.6
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
515.4
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
514.7
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
513.5
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
512.0
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
509.8
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
491.4
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
487.0
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
486.2
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
486.1
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
485.4
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
482.9
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
481.9
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
480.9
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
480.0
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
467.2
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
467.1
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
465.9
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
461.5
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
458.2
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
456.2
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
454.1
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
443.8
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
439.1
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
436.8
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
436.0
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
434.4
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
433.8
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
432.2
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
430.6
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
426.0
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
425.5
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
421.4
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
420.5
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
419.1
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
414.8
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
414.0
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
412.5
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
410.4
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
407.5
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
401.8
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
399.8
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
397.0
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
384.2
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
384.0
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
378.1
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
375.6
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
373.6
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
373.5
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
373.0
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
366.4
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
364.5
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
362.2
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
361.6
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
358.1
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
353.8
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
352.1
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
350.2
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
347.0
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
346.2
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
345.7
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
343.4
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
339.9
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
339.6
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
335.2
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
334.4
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
334.3
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
333.7
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
333.6
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
333.4
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
332.4
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
330.5
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
330.4
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
330.1
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
324.5
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
324.3
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
324.2
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
322.8
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
322.5
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
318.9
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
315.1
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
311.1
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
310.3
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
309.4
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
307.9
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
307.7
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
306.3
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
305.9
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
304.3
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
303.8
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
303.0
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
302.8
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
301.0
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
288.2
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
287.9
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
286.9
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
286.1
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
284.6
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
283.8
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
282.3
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
277.9
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
276.8
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
271.4
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
268.3
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
266.6
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
263.6
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
261.2
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
259.5
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
259.3
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
258.9
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
255.8
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
255.2
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
254.3
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
252.6
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
249.4
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
247.4
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
245.3
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
243.6
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
241.8
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
240.0
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
238.8
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
236.3
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
231.1
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
230.3
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
228.0
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
226.2
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
225.7
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
224.5
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
222.3
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
220.3
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
218.9
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
215.4
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
214.0
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
213.6
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
213.4
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
210.1
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
207.9
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
207.7
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
207.3
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
206.5
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
204.3
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
204.1
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
202.1
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
194.6
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
192.3
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
187.3
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
186.0
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
183.4
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
183.0
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
181.0
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
180.1
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
177.3
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
176.0
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
169.2
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
168.3
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
159.9
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
159.6
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
159.4
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
157.9
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
155.5
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
154.4
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
147.9
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
144.6
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
142.9
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
142.5
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
139.2
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
138.5
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
138.4
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
138.0
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
130.6
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
129.6
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
126.9
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
125.7
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
121.3
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
120.0
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
113.7
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
112.7
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
111.2
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
110.5
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
110.0
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
103.4
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
103.0
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
100.9
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
98.5
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
97.7
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
97.6
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
97.6
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
96.4
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
95.6
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
80.7
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
77.4
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
75.6
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
71.9
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
71.5
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
71.4
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
68.3
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
66.3
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
65.1
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
60.4
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
57.4
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
56.7
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
56.3
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
54.2
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
54.2
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
53.9
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
51.8
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
40.1
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
38.9
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
38.8
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
38.6
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
29.3
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
17.5
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
14.4
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 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.
GPX3 is not prognostic in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
789.2
Number of samples
231
Samples
Sample
Description
pTPM
DO45091
56 years, male, NA, stage:2, dead, 1320 days
5956.3
DO48693
71 years, male, NA, stage:2, alive, 900 days
3873.2
DO45149
70 years, female, NA, stage:2, alive, 1260 days
3620.5
DO23545
67 years, male, NA, stage:2, dead, 570 days
3473.1
DO23511
83 years, female, NA, stage:3, dead, 180 days
3092.8
DO50857
72 years, male, NA, stage:2, alive, 210 days
3091.7
DO50811
62 years, male, NA, stage:1, alive, 450 days
2869.3
DO45169
74 years, male, NA, stage:3, alive, 1350 days
2775.6
DO23516
69 years, male, NA, stage:3, dead, 20 days
2536.5
DO23518
67 years, male, NA, stage:2, alive, 1320 days
2483.2
DO45092
62 years, male, NA, stage:4, dead, 1200 days
2339.5
DO48706
72 years, male, NA, stage:2, alive, 870 days
2159.8
DO48679
72 years, male, NA, stage:2, alive, 1200 days
2025.5
DO45105
61 years, male, NA, stage:1, alive, 1680 days
2002.3
DO48716
71 years, male, NA, stage:2, alive, 720 days
1977.2
DO50817
75 years, male, NA, stage:2, alive, 390 days
1949.1
DO23533
61 years, male, NA, stage:2, alive, 900 days
1941.8
DO50816
63 years, male, NA, stage:2, alive, 390 days
1903.7
DO45163
76 years, male, NA, stage:2, alive, 960 days
1860.7
DO23512
60 years, male, NA, stage:1, alive, 1260 days
1765.2
DO50839
47 years, female, NA, stage:3, alive, 330 days
1721.7
DO45119
74 years, male, NA, stage:3, dead, 510 days
1706.0
DO45113
58 years, male, NA, stage:3, alive, 1560 days
1671.8
DO45131
53 years, male, NA, stage:4, dead, 360 days
1660.7
DO45167
67 years, male, NA, stage:2, dead, 1440 days
1628.9
DO45133
64 years, male, NA, stage:3, dead, 660 days
1514.2
DO45117
73 years, female, NA, stage:2, dead, 1110 days
1493.7
DO23548
78 years, female, NA, stage:1, alive, 840 days
1481.8
DO50822
66 years, male, NA, stage:2, alive, 510 days
1416.1
DO50798
77 years, male, NA, stage:3, dead, 30 days
1414.0
DO45197
51 years, male, NA, stage:2, alive, 1170 days
1368.0
DO45097
69 years, male, NA, stage:3, alive, 1620 days
1367.7
DO45095
66 years, male, NA, stage:2, alive, 1620 days
1341.5
DO45267
73 years, male, NA, stage:3, dead, 570 days
1338.1
DO48746
76 years, male, NA, stage:3, alive, 570 days
1329.9
DO45094
76 years, male, NA, stage:3, alive, 1650 days
1313.1
DO50814
83 years, male, NA, stage:3, alive, 420 days
1310.8
DO23509
60 years, male, NA, stage:3, dead, 780 days
1297.3
DO50859
77 years, male, NA, stage:2, alive, 180 days
1270.1
DO23538
67 years, male, NA, stage:2, alive, 450 days
1269.8
DO45273
62 years, male, NA, stage:2, alive, 480 days
1237.9
DO50783
62 years, male, NA, stage:3, alive, 480 days
1220.6
DO50800
74 years, male, NA, stage:2, alive, 510 days
1198.1
DO45127
73 years, male, NA, stage:3, dead, 420 days
1189.1
DO23508
79 years, female, NA, stage:2, alive, 390 days
1176.1
DO50778
60 years, male, NA, stage:4, alive, 630 days
1168.5
DO45255
81 years, male, NA, stage:3, alive, 720 days
1161.6
DO48672
81 years, male, NA, stage:2, alive, 450 days
1152.5
DO48733
72 years, male, NA, stage:2, alive, 600 days
1144.1
DO48677
58 years, male, NA, stage:3, alive, 1140 days
1135.7
DO45115
81 years, male, NA, stage:2, alive, 840 days
1133.2
DO48723
73 years, male, NA, stage:1, alive, 600 days
1114.9
DO48742
76 years, male, NA, stage:2, alive, 600 days
1101.5
DO45096
69 years, male, NA, stage:2, dead, 1290 days
1093.3
DO23539
77 years, male, NA, stage:1, alive, 1110 days
1089.3
DO45103
47 years, male, NA, stage:3, alive, 450 days
1083.0
DO45217
69 years, female, NA, stage:3, dead, 270 days
1071.7
DO45141
73 years, male, NA, stage:2, alive, 1320 days
1071.2
DO45215
65 years, male, NA, stage:2, alive, 1170 days
1048.8
DO45101
63 years, male, NA, stage:2, alive, 1680 days
1011.8
DO45175
74 years, male, NA, stage:2, alive, 1140 days
1008.6
DO23546
63 years, male, NA, stage:2, alive, 1050 days
998.8
DO50804
81 years, male, NA, stage:2, alive, 720 days
987.7
DO45111
74 years, male, NA, stage:2, alive, 1590 days
983.6
DO23530
53 years, male, NA, stage:4, dead, 180 days
960.0
DO45257
46 years, male, NA, stage:3, alive, 810 days
942.6
DO50793
76 years, male, NA, stage:4, alive, 540 days
923.1
DO45093
71 years, male, NA, stage:2, dead, 720 days
919.1
DO23543
63 years, male, NA, stage:2, alive, 1020 days
917.4
DO45173
63 years, male, NA, stage:3, alive, 1170 days
904.3
DO48759
73 years, male, NA, stage:3, alive, 720 days
891.0
DO45233
83 years, male, NA, stage:3, alive, 900 days
883.9
DO45109
63 years, male, NA, stage:2, alive, 1590 days
878.4
DO48681
57 years, male, NA, stage:2, alive, 900 days
871.4
DO45221
75 years, female, NA, stage:4, dead, 390 days
870.4
DO23532
71 years, female, NA, stage:1, alive, 960 days
868.7
DO45201
49 years, male, NA, stage:1, alive, 900 days
865.0
DO45159
65 years, male, NA, stage:3, alive, 1470 days
860.9
DO45107
63 years, female, NA, stage:2, alive, 1710 days
859.2
DO45157
62 years, male, NA, stage:2, alive, 1980 days
855.9
DO50789
73 years, female, NA, stage:2, alive, 570 days
847.8
DO45099
46 years, male, NA, stage:3, alive, 1590 days
807.1
DO45153
77 years, female, NA, stage:2, alive, 1380 days
805.8
DO23528
45 years, female, NA, stage:2, alive, 1020 days
794.9
DO23525
71 years, male, NA, stage:4, alive, 1050 days
784.5
DO45223
67 years, male, NA, stage:4, alive, 1020 days
778.6
DO45241
49 years, male, NA, stage:1, alive, 1080 days
767.8
DO23524
71 years, female, NA, stage:2, alive, 1050 days
759.4
DO48695
77 years, male, NA, stage:2, alive, 720 days
741.6
DO48760
70 years, female, NA, stage:2, alive, 690 days
740.5
DO227643
79 years, male, NA, stage:2, alive, 1260 days
737.3
DO50774
68 years, female, NA, stage:2, alive, 720 days
735.3
DO48743
69 years, female, NA, stage:2, alive, 570 days
734.6
DO45161
74 years, male, NA, stage:2, dead, 540 days
729.9
DO48757
68 years, female, NA, stage:3, alive, 480 days
729.9
DO23541
65 years, male, NA, stage:2, alive, 930 days
724.9
DO50805
72 years, male, NA, stage:2, alive, 690 days
724.4
DO48737
52 years, male, NA, stage:1, alive, 720 days
716.8
DO45229
74 years, male, NA, stage:1, alive, 990 days
707.8
DO50818
65 years, male, NA, stage:2, alive, 510 days
701.7
DO45261
74 years, male, NA, stage:3, alive, 990 days
698.4
DO45235
68 years, female, NA, stage:1, alive, 900 days
683.3
DO50819
72 years, female, NA, stage:2, alive, 510 days
665.0
DO50806
70 years, male, NA, stage:4, alive, 540 days
650.5
DO50829
78 years, male, NA, stage:3, alive, 570 days
648.6
DO45213
58 years, male, NA, stage:1, alive, 1200 days
647.8
DO50803
62 years, female, NA, stage:1, alive, 540 days
646.2
DO23527
72 years, male, NA, stage:1, alive, 1050 days
640.6
DO45143
69 years, male, NA, stage:3, alive, 1290 days
638.2
DO23551
73 years, male, NA, stage:3, dead, 150 days
631.0
DO50776
75 years, male, NA, stage:1, alive, 690 days
630.1
DO23523
52 years, male, NA, stage:3, alive, 1080 days
626.9
DO45195
62 years, male, NA, stage:1, alive, 390 days
624.3
DO48704
68 years, female, NA, stage:3, alive, 750 days
609.1
DO45253
50 years, male, NA, stage:2, alive, 870 days
606.0
DO48700
78 years, female, NA, stage:2, alive, 810 days
602.1
DO50845
72 years, male, NA, stage:3, alive, 210 days
596.2
DO50825
70 years, male, NA, stage:2, alive, 390 days
594.2
DO23519
65 years, male, NA, stage:3, alive, 630 days
588.6
DO50785
37 years, male, NA, stage:4, dead, 90 days
585.2
DO45207
68 years, male, NA, stage:1, alive, 1050 days
581.7
DO45177
81 years, female, NA, stage:3, alive, 1260 days
578.9
DO45135
77 years, male, NA, stage:1, alive, 1410 days
578.0
DO45193
68 years, female, NA, stage:4, dead, 120 days
574.2
DO45281
83 years, male, NA, stage:4, alive, 750 days
570.0
DO23536
56 years, male, NA, stage:2, alive, 930 days
556.0
DO50799
66 years, female, NA, stage:2, alive, 540 days
553.7
DO227801
77 years, female, NA, stage:1, alive, 660 days
552.9
DO45125
58 years, male, NA, stage:3, alive, 1680 days
543.6
DO48701
78 years, male, NA, stage:2, alive, 780 days
527.0
DO45165
75 years, male, NA, stage:2, alive, 690 days
523.4
DO45181
84 years, female, NA, stage:2, alive, 1200 days
522.6
DO50809
56 years, male, NA, stage:3, dead, 720 days
513.5
DO45225
69 years, male, NA, stage:1, alive, 1050 days
511.3
DO23540
73 years, male, NA, stage:1, alive, 750 days
477.8
DO45187
32 years, female, NA, stage:1, alive, 1260 days
477.3
DO45121
61 years, male, NA, stage:3, alive, 1530 days
474.2
DO50850
74 years, male, NA, stage:3, alive, 720 days
470.7
DO23542
66 years, male, NA, stage:3, alive, 960 days
465.1
DO23550
69 years, male, NA, stage:1, alive, 990 days
458.5
DO45249
57 years, male, NA, stage:1, alive, 630 days
452.3
DO23535
67 years, male, NA, stage:1, alive, 960 days
448.9
DO23510
80 years, female, NA, stage:2, alive, 870 days
447.1
DO45227
57 years, female, NA, stage:2, alive, 1020 days
444.8
DO23544
67 years, male, NA, stage:2, alive, 960 days
436.9
DO48712
50 years, male, NA, stage:2, alive, 810 days
430.3
DO48721
58 years, female, NA, stage:1, alive, 900 days
428.7
DO45191
61 years, female, NA, stage:2, alive, 1200 days
428.0
DO45129
61 years, male, NA, stage:3, alive, 1470 days
426.9
DO48741
64 years, male, NA, stage:3, alive, 240 days
421.9
DO23547
74 years, male, NA, stage:1, alive, 1020 days
404.1
DO48725
66 years, male, NA, stage:1, alive, 780 days
402.5
DO48715
58 years, female, NA, stage:2, dead, 690 days
397.5
DO45139
63 years, male, NA, stage:3, alive, 1320 days
397.4
DO50808
68 years, male, NA, stage:2, alive, 570 days
369.8
DO50855
47 years, male, NA, stage:2, alive, 570 days
353.4
DO45171
56 years, male, NA, stage:3, alive, 600 days
349.8
DO45239
42 years, male, NA, stage:2, alive, 870 days
336.8
DO45219
78 years, male, NA, stage:2, alive, 1080 days
336.3
DO50787
63 years, male, NA, stage:3, alive, 480 days
330.5
DO45265
73 years, male, NA, stage:3, alive, 1020 days
327.3
DO23537
79 years, male, NA, stage:2, dead, 900 days
317.6
DO48730
73 years, female, NA, stage:2, alive, 630 days
315.3
DO48697
64 years, female, NA, stage:2, dead, 810 days
313.0
DO45231
84 years, male, NA, stage:2, alive, 930 days
312.3
DO45123
78 years, female, NA, stage:2, dead, 570 days
307.2
DO45137
38 years, male, NA, stage:1, alive, 1320 days
305.9
DO23531
78 years, female, NA, stage:3, alive, 900 days
295.7
DO23514
64 years, male, NA, stage:2, alive, 1290 days
295.3
DO48717
54 years, male, NA, stage:4, dead, 180 days
293.2
DO48747
62 years, male, NA, stage:3, alive, 540 days
293.0
DO45247
31 years, female, NA, stage:2, alive, 210 days
284.4
DO45275
65 years, male, NA, stage:3, dead, 10 days
281.7
DO23552
80 years, female, NA, stage:1, alive, 810 days
280.5
DO45203
71 years, female, NA, stage:2, alive, 1170 days
271.9
DO45183
72 years, female, NA, stage:2, dead, 570 days
266.7
DO45199
86 years, female, NA, stage:2, alive, 1350 days
265.0
DO50791
79 years, female, NA, stage:1, dead, 480 days
262.8
DO45263
67 years, male, NA, stage:3, dead, 270 days
261.1
DO45145
78 years, male, NA, stage:3, dead, 60 days
257.2
DO48674
80 years, male, NA, stage:2, alive, 1260 days
257.1
DO48732
73 years, male, NA, stage:3, alive, 630 days
253.6
DO48720
62 years, female, NA, stage:2, alive, 570 days
251.9
DO48761
55 years, male, NA, stage:2, alive, 870 days
237.7
DO45269
59 years, male, NA, stage:3, alive, 750 days
237.3
DO50820
77 years, female, NA, stage:3, alive, 510 days
233.9
DO50802
49 years, male, NA, stage:2, alive, 930 days
230.3
DO23517
62 years, male, NA, stage:2, alive, 1200 days
227.9
DO23534
60 years, male, NA, stage:2, alive, 840 days
225.1
DO50813
56 years, male, NA, stage:2, alive, 420 days
216.9
DO50815
62 years, male, NA, stage:3, alive, 150 days
215.5
DO50807
67 years, male, NA, stage:1, alive, 540 days
213.7
DO45179
78 years, female, NA, stage:2, alive, 600 days
213.4
DO48728
74 years, female, NA, stage:2, alive, 150 days
207.2
DO23513
76 years, male, NA, stage:3, alive, 1200 days
202.0
DO45155
69 years, male, NA, stage:2, alive, 2160 days
194.8
DO45301
56 years, male, NA, stage:2, dead, 1440 days
191.9
DO48736
76 years, female, NA, stage:1, alive, 600 days
178.1
DO23549
74 years, male, NA, stage:3, alive, 990 days
172.7
DO23526
66 years, male, NA, stage:3, alive, 1050 days
172.6
DO45243
74 years, female, NA, stage:3, alive, 930 days
162.0
DO45209
70 years, male, NA, stage:4, alive, 1350 days
155.2
DO45283
60 years, male, NA, stage:3, alive, 510 days
153.3
DO48751
68 years, male, NA, stage:2, dead, 480 days
144.0
DO45251
57 years, female, NA, stage:2, alive, 900 days
141.1
DO50832
73 years, male, NA, stage:3, alive, 90 days
137.3
DO50840
49 years, male, NA, stage:2, alive, 330 days
129.4
DO45277
64 years, male, NA, stage:3, alive, 600 days
124.4
DO50844
75 years, male, NA, stage:4, alive, 300 days
120.3
DO48682
72 years, female, NA, stage:3, dead, 120 days
118.1
DO45185
89 years, male, NA, stage:2, alive, 600 days
105.1
DO45307
54 years, female, NA, stage:4, dead, 240 days
104.0
DO23515
71 years, male, NA, stage:2, alive, 1230 days
100.4
DO45287
74 years, male, NA, stage:1, alive, 390 days
86.6
DO48727
81 years, female, NA, stage:2, dead, 390 days
79.3
DO23521
63 years, male, NA, stage:3, alive, 1110 days
75.9
DO45305
66 years, male, NA, stage:4, alive, 300 days
65.5
DO45303
62 years, female, NA, stage:3, alive, 990 days
58.4
DO45189
85 years, female, NA, stage:2, alive, 1200 days
56.0
DO45237
58 years, male, NA, stage:2, alive, 900 days
53.4
DO48719
80 years, male, NA, stage:2, alive, 690 days
43.6
DO45279
67 years, male, NA, stage:3, alive, 1290 days
43.6
DO45245
75 years, female, NA, stage:2, dead, 240 days
35.8
DO45205
67 years, female, NA, stage:2, dead, 90 days
33.3
DO23529
72 years, male, NA, stage:4, alive, 930 days
33.2
DO45289
78 years, female, NA, stage:3, alive, 360 days
30.1
DO45285
59 years, male, NA, stage:3, alive, 480 days
27.8
DO45297
61 years, female, NA, stage:4, dead, 1260 days
27.2
DO45211
76 years, male, NA, stage:3, alive, 240 days
22.6
DO45259
65 years, male, NA, stage:3, alive, 330 days
9.1
DO45299
70 years, female, NA, stage:1, alive, 1440 days
5.7
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
913
Tumor
1.7
444
Normal
1.6
223
Tumor
1.3
311
Tumor
1.2
823
Tumor
1.2
455
Tumor
1.2
917
Tumor
1.2
384
Normal
1.1
297
Tumor
1.1
421
Tumor
1.1
192
Normal
1.1
563
Tumor
1.0
536
Normal
1.0
535
Tumor
1.0
478
Normal
1.0
881
Tumor
0.9
1045
Tumor
0.9
498
Normal
0.9
145
Tumor
0.9
146
Normal
0.9
525
Tumor
0.8
185
Tumor
0.8
924
Normal
0.8
141
Tumor
0.7
975
Tumor
0.7
916
Normal
0.7
492
Normal
0.7
224
Normal
0.7
483
Tumor
0.7
925
Tumor
0.7
386
Normal
0.7
524
Normal
0.7
383
Tumor
0.7
213
Tumor
0.6
671
Tumor
0.6
817
Tumor
0.6
958
Normal
0.6
545
Tumor
0.6
538
Normal
0.6
433
Tumor
0.6
191
Tumor
0.6
922
Normal
0.6
874
Normal
0.6
574
Normal
0.6
312
Normal
0.6
354
Normal
0.6
672
Normal
0.6
137
Tumor
0.6
385
Tumor
0.5
375
Tumor
0.5
365
Tumor
0.5
785
Tumor
0.5
126
Normal
0.5
627
Tumor
0.5
641
Tumor
0.5
396
Normal
0.5
461
Tumor
0.5
558
Normal
0.5
857
Tumor
0.5
467
Tumor
0.5
187
Tumor
0.4
883
Tumor
0.4
984
Normal
0.4
228
Normal
0.4
921
Tumor
0.4
268
Normal
0.4
918
Normal
0.4
355
Tumor
0.4
188
Normal
0.4
195
Tumor
0.4
976
Normal
0.4
327
Tumor
0.4
448
Normal
0.4
982
Normal
0.3
284
Normal
0.3
516
Normal
0.3
468
Normal
0.3
395
Tumor
0.3
813
Tumor
0.3
697
Tumor
0.3
816
Normal
0.3
1042
Normal
0.3
553
Tumor
0.3
715
Tumor
0.3
884
Normal
0.3
138
Normal
0.3
392
Normal
0.3
394
Normal
0.3
1044
Normal
0.3
434
Normal
0.3
878
Normal
0.3
278
Normal
0.3
572
Normal
0.2
352
Normal
0.2
212
Normal
0.2
214
Normal
0.2
818
Normal
0.2
744
Normal
0.2
636
Normal
0.2
466
Normal
0.2
364
Normal
0.2
474
Normal
0.2
546
Normal
0.2
218
Normal
0.2
343
Tumor
0.2
914
Normal
0.2
415
Tumor
0.2
493
Tumor
0.2
923
Tumor
0.2
926
Normal
0.2
868
Normal
0.2
471
Tumor
0.2
148
Normal
0.1
978
Normal
0.1
814
Normal
0.1
526
Normal
0.1
432
Normal
0.1
722
Normal
0.1
628
Normal
0.1
344
Normal
0.1
427
Tumor
0.1
491
Tumor
0.1
528
Normal
0.1
314
Normal
0.1
388
Normal
0.1
328
Normal
0.1
515
Tumor
0.1
956
Normal
0.1
446
Normal
0.1
963
Tumor
0.1
698
Normal
0.1
211
Tumor
0.1
642
Normal
0.1
472
Normal
0.1
353
Tumor
0.1
135
Tumor
0.1
221
Tumor
0.1
786
Normal
0.1
162
Normal
0.1
1046
Normal
0.1
954
Normal
0.1
161
Tumor
0.1
721
Tumor
0.1
363
Tumor
0.1
716
Normal
0.0
514
Normal
0.0
412
Normal
0.0
968
Normal
0.0
447
Tumor
0.0
723
Tumor
0.0
852
Normal
0.0
866
Normal
0.0
332
Normal
0.0
196
Normal
0.0
864
Normal
0.0
172
Normal
0.0
142
Normal
0.0
877
Tumor
0.0
494
Normal
0.0
111
Normal
0.0
714
Normal
0.0
686
Normal
0.0
964
Normal
0.0
666
Normal
0.0
462
Normal
0.0
882
Normal
0.0
413
Tumor
0.0
362
Normal
0.0
136
Normal
0.0
416
Normal
0.0
488
Normal
0.0
662
Normal
0.0
738
Normal
0.0
696
Normal
0.0
615
Tumor
0.0
356
Normal
-0.1
618
Normal
-0.1
527
Tumor
-0.1
912
Normal
-0.1
456
Normal
-0.1
713
Tumor
-0.1
124
Normal
-0.1
1032
Normal
-0.1
262
Normal
-0.1
217
Tumor
-0.1
1028
Normal
-0.1
778
Normal
-0.1
342
Normal
-0.1
867
Tumor
-0.1
568
Normal
-0.1
424
Normal
-0.1
484
Normal
-0.1
695
Tumor
-0.2
756
Normal
-0.2
286
Normal
-0.2
387
Tumor
-0.2
422
Normal
-0.2
742
Normal
-0.2
361
Tumor
-0.2
376
Normal
-0.2
298
Normal
-0.2
534
Normal
-0.2
567
Tumor
-0.2
222
Normal
-0.2
824
Normal
-0.2
938
Normal
-0.2
232
Normal
-0.2
132
Normal
-0.2
431
Tumor
-0.2
1014
Normal
-0.2
482
Normal
-0.2
366
Normal
-0.2
1022
Normal
-0.2
858
Normal
-0.2
341
Tumor
-0.2
414
Normal
-0.2
573
Tumor
-0.2
477
Tumor
-0.2
423
Tumor
-0.2
554
Normal
-0.2
664
Normal
-0.3
272
Normal
-0.3
277
Tumor
-0.3
943
Tumor
-0.3
464
Normal
-0.3
944
Normal
-0.3
114
Normal
-0.3
1041
Tumor
-0.3
331
Tumor
-0.3
728
Normal
-0.3
564
Normal
-0.3
1015
Tumor
-0.3
746
Normal
-0.3
436
Normal
-0.3
616
Normal
-0.4
513
Tumor
-0.4
952
Normal
-0.4
367
Tumor
-0.4
863
Tumor
-0.4
777
Tumor
-0.4
391
Tumor
-0.4
368
Normal
-0.4
617
Tumor
-0.4
428
Normal
-0.4
1031
Tumor
-0.5
1026
Normal
-0.5
128
Normal
-0.5
473
Tumor
-0.5
955
Tumor
-0.5
966
Normal
-0.5
862
Normal
-0.5
518
Normal
-0.5
425
Tumor
-0.5
915
Tumor
-0.5
983
Tumor
-0.5
497
Tumor
-0.5
443
Tumor
-0.5
953
Tumor
-0.5
1016
Normal
-0.5
358
Normal
-0.6
127
Tumor
-0.6
452
Normal
-0.6
873
Tumor
-0.6
481
Tumor
-0.6
537
Tumor
-0.6
426
Normal
-0.6
665
Tumor
-0.6
533
Tumor
-0.6
977
Tumor
-0.7
186
Normal
-0.7
261
Tumor
-0.7
227
Tumor
-0.7
267
Tumor
-0.7
258
Normal
-0.7
487
Tumor
-0.8
463
Tumor
-0.8
967
Tumor
-0.8
741
Tumor
-0.8
685
Tumor
-0.8
1025
Tumor
-0.8
1043
Tumor
-0.8
517
Tumor
-0.8
283
Tumor
-0.9
571
Tumor
-0.9
313
Tumor
-0.9
911
Tumor
-0.9
445
Tumor
-0.9
557
Tumor
-0.9
393
Tumor
-0.9
285
Tumor
-0.9
755
Tumor
-1.0
411
Tumor
-1.0
647
Tumor
-1.0
271
Tumor
-1.0
125
Tumor
-1.0
113
Tumor
-1.1
648
Normal
-1.1
981
Tumor
-1.1
727
Tumor
-1.1
861
Tumor
-1.1
147
Tumor
-1.2
231
Tumor
-1.2
1027
Tumor
-1.2
745
Tumor
-1.2
351
Tumor
-1.2
435
Tumor
-1.2
815
Tumor
-1.2
112
Tumor
-1.2
257
Tumor
-1.2
465
Tumor
-1.3
131
Tumor
-1.3
937
Tumor
-1.3
851
Tumor
-1.4
957
Tumor
-1.4
737
Tumor
-1.4
523
Tumor
-1.4
724
Normal
-1.4
1021
Tumor
-1.4
451
Tumor
-1.5
965
Tumor
-1.6
743
Tumor
-1.6
865
Tumor
-1.8
635
Tumor
-1.8
171
Tumor
-1.8
1013
Tumor
-1.8
951
Tumor
-1.9
357
Tumor
-1.9
663
Tumor
-2.0
123
Tumor
-2.1
661
Tumor
-2.3
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
