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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 TPM
520.7
Number of samples
362
Samples
Sample
Description
TPM
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
5950.1
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
4126.2
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
3469.6
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
3156.9
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
2484.3
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
2402.1
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
2060.4
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
1995.0
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
1987.3
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
1836.4
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
1828.1
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
1770.6
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
1730.1
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
1684.3
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
1659.4
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
1658.2
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1612.5
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
1572.7
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
1508.5
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
1472.7
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
1467.5
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
1445.8
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
1426.9
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
1396.7
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
1387.7
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
1366.3
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1338.2
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
1247.6
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
1208.9
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
1207.2
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
1189.1
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
1178.1
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1149.2
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
1143.1
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
1120.3
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
1104.0
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
1085.3
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
1079.5
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
1059.4
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
995.5
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
992.8
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
976.2
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
965.4
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
956.5
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
942.5
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
914.2
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
893.4
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
884.3
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
877.1
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
875.6
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
872.6
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
856.6
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
840.1
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
839.6
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
839.5
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
838.9
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
829.5
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
824.1
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
804.3
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
788.1
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
787.2
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
787.2
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
775.6
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
773.5
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
772.9
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
766.1
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
761.0
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
758.4
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
756.2
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
754.9
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
754.0
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
751.1
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
747.9
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
731.0
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
723.3
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
715.6
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
706.4
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
681.7
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
677.6
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
674.4
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
669.1
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
665.1
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
657.6
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
656.0
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
652.8
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
651.3
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
648.6
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
644.8
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
643.4
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
642.6
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
637.3
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
632.9
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
631.0
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
626.0
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
625.7
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
624.6
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
622.9
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
621.4
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
620.2
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
602.1
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
599.1
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
594.1
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
594.0
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
586.7
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
581.8
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
580.6
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
572.5
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
572.2
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
571.3
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
569.2
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
564.1
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
560.5
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
553.9
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
550.8
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
547.0
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
544.6
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
542.1
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
533.0
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
532.4
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
531.6
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
530.6
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
527.0
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
525.4
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
523.0
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
522.7
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
515.1
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
513.7
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
509.0
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
506.4
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
505.5
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
502.1
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
501.5
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
499.9
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
499.3
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
497.7
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
490.6
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
484.9
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
484.3
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
484.1
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
480.8
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
477.1
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
462.5
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
462.0
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
462.0
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
452.8
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
451.8
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
444.6
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
442.4
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
441.8
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
439.5
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
436.2
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
430.5
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
427.1
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
425.9
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
422.9
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
422.3
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
421.8
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
414.6
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
411.0
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
399.8
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
397.9
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
396.2
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
393.3
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
392.7
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
390.0
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
388.9
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
383.6
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
383.4
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
382.4
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
382.0
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
379.0
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
378.9
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
378.7
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
376.9
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
375.7
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
375.0
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
368.2
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
368.1
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
366.6
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
364.2
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
361.8
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
359.9
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
358.9
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
353.3
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
351.3
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
348.2
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
346.8
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
342.6
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
337.4
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
336.8
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
336.6
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
335.5
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
332.9
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
331.6
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
325.3
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
321.1
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
319.8
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
319.0
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
310.2
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
307.0
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
305.4
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
304.5
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
304.4
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
302.0
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
300.7
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
300.5
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
299.4
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
299.4
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
296.1
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
289.2
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
288.4
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
288.0
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
287.1
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
286.5
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
286.4
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
284.7
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
284.1
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
281.5
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
275.2
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
274.2
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
272.7
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
272.7
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
272.5
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
270.2
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
269.8
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
267.8
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
266.3
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
264.8
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
264.6
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
264.1
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
261.7
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
261.0
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
259.6
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
259.0
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
258.5
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
256.9
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
256.6
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
256.3
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
255.8
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
254.9
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
249.0
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
248.5
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
247.4
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
245.5
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
242.0
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
241.8
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
241.5
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
240.5
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
236.8
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
235.8
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
233.2
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
227.0
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
226.8
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
224.7
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
224.1
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
223.2
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
222.8
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
220.4
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
220.0
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
218.3
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
217.6
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
214.8
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
214.7
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
210.7
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
210.1
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
208.5
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
204.4
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
204.0
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
201.6
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
198.7
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
198.1
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
196.0
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
192.1
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
188.6
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
186.7
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
186.3
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
185.9
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
185.6
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
185.1
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
184.2
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
180.3
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
179.7
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
179.0
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
178.2
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
176.5
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
175.0
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
174.0
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
172.8
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
172.2
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
171.3
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
165.8
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
164.9
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
164.6
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
160.3
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
160.0
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
159.4
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
154.0
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
153.7
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
152.5
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
150.0
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
141.2
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
137.2
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
137.1
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
136.4
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
136.0
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
135.1
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
133.5
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
131.9
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
131.1
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
123.1
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
122.9
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
119.5
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
119.2
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
117.1
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
115.9
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
113.2
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
111.9
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
111.0
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
109.6
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
108.8
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
105.2
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
100.3
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
96.8
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
96.2
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
94.6
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
93.9
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
92.7
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
92.5
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
87.4
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
84.9
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
83.2
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
82.7
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
82.6
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
82.1
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
80.8
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
80.3
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
79.9
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
68.8
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
67.2
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
62.9
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
62.5
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
61.5
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
61.4
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
58.1
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
54.6
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
53.5
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
52.2
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
49.1
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
47.5
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
46.7
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
45.5
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
45.4
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
44.6
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
43.7
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
32.9
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
32.8
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
31.7
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
31.4
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
24.2
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
15.1
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
11.7
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 TPM
481.7
Number of samples
231
Samples
Sample
Description
TPM
DO45091
56 years, male, NA, stage:2, dead, 1320 days
3485.3
DO48693
71 years, male, NA, stage:2, alive, 900 days
2539.6
DO45149
70 years, female, NA, stage:2, alive, 1260 days
2402.9
DO23545
67 years, male, NA, stage:2, dead, 570 days
2291.7
DO23511
83 years, female, NA, stage:3, dead, 180 days
2115.1
DO50857
72 years, male, NA, stage:2, alive, 210 days
1855.2
DO50811
62 years, male, NA, stage:1, alive, 450 days
1803.6
DO45169
74 years, male, NA, stage:3, alive, 1350 days
1793.0
DO23516
69 years, male, NA, stage:3, dead, 20 days
1600.7
DO23518
67 years, male, NA, stage:2, alive, 1320 days
1546.8
DO48679
72 years, male, NA, stage:2, alive, 1200 days
1461.7
DO48706
72 years, male, NA, stage:2, alive, 870 days
1433.6
DO45092
62 years, male, NA, stage:4, dead, 1200 days
1422.9
DO50839
47 years, female, NA, stage:3, alive, 330 days
1339.1
DO45105
61 years, male, NA, stage:1, alive, 1680 days
1234.9
DO48716
71 years, male, NA, stage:2, alive, 720 days
1233.7
DO50816
63 years, male, NA, stage:2, alive, 390 days
1185.5
DO45163
76 years, male, NA, stage:2, alive, 960 days
1143.3
DO50817
75 years, male, NA, stage:2, alive, 390 days
1136.6
DO23533
61 years, male, NA, stage:2, alive, 900 days
1134.5
DO45167
67 years, male, NA, stage:2, dead, 1440 days
1096.1
DO23512
60 years, male, NA, stage:1, alive, 1260 days
1042.0
DO45119
74 years, male, NA, stage:3, dead, 510 days
1039.9
DO50814
83 years, male, NA, stage:3, alive, 420 days
1034.9
DO45131
53 years, male, NA, stage:4, dead, 360 days
967.6
DO45113
58 years, male, NA, stage:3, alive, 1560 days
954.0
DO50822
66 years, male, NA, stage:2, alive, 510 days
897.9
DO45117
73 years, female, NA, stage:2, dead, 1110 days
896.2
DO45097
69 years, male, NA, stage:3, alive, 1620 days
892.0
DO45095
66 years, male, NA, stage:2, alive, 1620 days
875.7
DO45133
64 years, male, NA, stage:3, dead, 660 days
854.8
DO23508
79 years, female, NA, stage:2, alive, 390 days
850.6
DO50783
62 years, male, NA, stage:3, alive, 480 days
839.6
DO45094
76 years, male, NA, stage:3, alive, 1650 days
827.1
DO50798
77 years, male, NA, stage:3, dead, 30 days
820.6
DO23548
78 years, female, NA, stage:1, alive, 840 days
803.4
DO23538
67 years, male, NA, stage:2, alive, 450 days
777.2
DO50859
77 years, male, NA, stage:2, alive, 180 days
757.5
DO48723
73 years, male, NA, stage:1, alive, 600 days
742.8
DO45255
81 years, male, NA, stage:3, alive, 720 days
718.2
DO45267
73 years, male, NA, stage:3, dead, 570 days
718.1
DO45115
81 years, male, NA, stage:2, alive, 840 days
715.6
DO48746
76 years, male, NA, stage:3, alive, 570 days
711.8
DO45197
51 years, male, NA, stage:2, alive, 1170 days
707.4
DO23539
77 years, male, NA, stage:1, alive, 1110 days
706.3
DO48672
81 years, male, NA, stage:2, alive, 450 days
704.7
DO48742
76 years, male, NA, stage:2, alive, 600 days
682.8
DO50778
60 years, male, NA, stage:4, alive, 630 days
679.0
DO45103
47 years, male, NA, stage:3, alive, 450 days
665.6
DO45096
69 years, male, NA, stage:2, dead, 1290 days
663.5
DO50800
74 years, male, NA, stage:2, alive, 510 days
658.0
DO48733
72 years, male, NA, stage:2, alive, 600 days
656.6
DO45273
62 years, male, NA, stage:2, alive, 480 days
656.3
DO23509
60 years, male, NA, stage:3, dead, 780 days
652.7
DO45109
63 years, male, NA, stage:2, alive, 1590 days
648.8
DO45101
63 years, male, NA, stage:2, alive, 1680 days
645.6
DO45175
74 years, male, NA, stage:2, alive, 1140 days
642.7
DO48677
58 years, male, NA, stage:3, alive, 1140 days
641.7
DO45093
71 years, male, NA, stage:2, dead, 720 days
619.9
DO48759
73 years, male, NA, stage:3, alive, 720 days
619.7
DO45141
73 years, male, NA, stage:2, alive, 1320 days
614.1
DO50804
81 years, male, NA, stage:2, alive, 720 days
611.5
DO45127
73 years, male, NA, stage:3, dead, 420 days
607.7
DO45217
69 years, female, NA, stage:3, dead, 270 days
588.4
DO45215
65 years, male, NA, stage:2, alive, 1170 days
583.1
DO45173
63 years, male, NA, stage:3, alive, 1170 days
566.5
DO45111
74 years, male, NA, stage:2, alive, 1590 days
564.1
DO45221
75 years, female, NA, stage:4, dead, 390 days
556.2
DO45201
49 years, male, NA, stage:1, alive, 900 days
555.4
DO45107
63 years, female, NA, stage:2, alive, 1710 days
545.7
DO50789
73 years, female, NA, stage:2, alive, 570 days
544.9
DO50793
76 years, male, NA, stage:4, alive, 540 days
541.4
DO45257
46 years, male, NA, stage:3, alive, 810 days
539.3
DO23546
63 years, male, NA, stage:2, alive, 1050 days
525.3
DO45241
49 years, male, NA, stage:1, alive, 1080 days
523.9
DO23532
71 years, female, NA, stage:1, alive, 960 days
516.3
DO23525
71 years, male, NA, stage:4, alive, 1050 days
509.7
DO23543
63 years, male, NA, stage:2, alive, 1020 days
508.2
DO45233
83 years, male, NA, stage:3, alive, 900 days
502.5
DO50805
72 years, male, NA, stage:2, alive, 690 days
501.1
DO23530
53 years, male, NA, stage:4, dead, 180 days
500.2
DO45153
77 years, female, NA, stage:2, alive, 1380 days
498.4
DO48681
57 years, male, NA, stage:2, alive, 900 days
492.2
DO45099
46 years, male, NA, stage:3, alive, 1590 days
486.5
DO23528
45 years, female, NA, stage:2, alive, 1020 days
485.6
DO48760
70 years, female, NA, stage:2, alive, 690 days
478.7
DO227643
79 years, male, NA, stage:2, alive, 1260 days
471.3
DO45229
74 years, male, NA, stage:1, alive, 990 days
464.5
DO45157
62 years, male, NA, stage:2, alive, 1980 days
459.4
DO45223
67 years, male, NA, stage:4, alive, 1020 days
455.3
DO50806
70 years, male, NA, stage:4, alive, 540 days
452.1
DO45161
74 years, male, NA, stage:2, dead, 540 days
447.8
DO48737
52 years, male, NA, stage:1, alive, 720 days
445.9
DO50818
65 years, male, NA, stage:2, alive, 510 days
445.2
DO48743
69 years, female, NA, stage:2, alive, 570 days
439.9
DO50776
75 years, male, NA, stage:1, alive, 690 days
436.9
DO23541
65 years, male, NA, stage:2, alive, 930 days
436.8
DO45261
74 years, male, NA, stage:3, alive, 990 days
435.2
DO50785
37 years, male, NA, stage:4, dead, 90 days
434.6
DO48695
77 years, male, NA, stage:2, alive, 720 days
433.3
DO45159
65 years, male, NA, stage:3, alive, 1470 days
431.2
DO50774
68 years, female, NA, stage:2, alive, 720 days
425.9
DO23524
71 years, female, NA, stage:2, alive, 1050 days
415.1
DO45143
69 years, male, NA, stage:3, alive, 1290 days
413.4
DO23551
73 years, male, NA, stage:3, dead, 150 days
407.6
DO50803
62 years, female, NA, stage:1, alive, 540 days
406.2
DO48757
68 years, female, NA, stage:3, alive, 480 days
405.1
DO45195
62 years, male, NA, stage:1, alive, 390 days
401.6
DO23519
65 years, male, NA, stage:3, alive, 630 days
396.7
DO50825
70 years, male, NA, stage:2, alive, 390 days
394.9
DO50819
72 years, female, NA, stage:2, alive, 510 days
387.8
DO45235
68 years, female, NA, stage:1, alive, 900 days
386.7
DO23527
72 years, male, NA, stage:1, alive, 1050 days
382.2
DO48704
68 years, female, NA, stage:3, alive, 750 days
379.1
DO48700
78 years, female, NA, stage:2, alive, 810 days
366.7
DO50845
72 years, male, NA, stage:3, alive, 210 days
363.0
DO45135
77 years, male, NA, stage:1, alive, 1410 days
359.0
DO50829
78 years, male, NA, stage:3, alive, 570 days
358.3
DO23523
52 years, male, NA, stage:3, alive, 1080 days
356.4
DO227801
77 years, female, NA, stage:1, alive, 660 days
353.7
DO45125
58 years, male, NA, stage:3, alive, 1680 days
346.6
DO45213
58 years, male, NA, stage:1, alive, 1200 days
345.9
DO45177
81 years, female, NA, stage:3, alive, 1260 days
345.1
DO45193
68 years, female, NA, stage:4, dead, 120 days
344.0
DO23536
56 years, male, NA, stage:2, alive, 930 days
333.4
DO48701
78 years, male, NA, stage:2, alive, 780 days
327.7
DO45253
50 years, male, NA, stage:2, alive, 870 days
326.2
DO45181
84 years, female, NA, stage:2, alive, 1200 days
323.1
DO50799
66 years, female, NA, stage:2, alive, 540 days
317.9
DO45165
75 years, male, NA, stage:2, alive, 690 days
316.6
DO48741
64 years, male, NA, stage:3, alive, 240 days
311.7
DO45281
83 years, male, NA, stage:4, alive, 750 days
311.0
DO50809
56 years, male, NA, stage:3, dead, 720 days
299.6
DO50850
74 years, male, NA, stage:3, alive, 720 days
297.4
DO45207
68 years, male, NA, stage:1, alive, 1050 days
296.7
DO23550
69 years, male, NA, stage:1, alive, 990 days
294.0
DO23540
73 years, male, NA, stage:1, alive, 750 days
294.0
DO45187
32 years, female, NA, stage:1, alive, 1260 days
277.2
DO45129
61 years, male, NA, stage:3, alive, 1470 days
265.9
DO23510
80 years, female, NA, stage:2, alive, 870 days
263.5
DO45121
61 years, male, NA, stage:3, alive, 1530 days
263.3
DO23544
67 years, male, NA, stage:2, alive, 960 days
260.1
DO48725
66 years, male, NA, stage:1, alive, 780 days
259.6
DO45227
57 years, female, NA, stage:2, alive, 1020 days
257.6
DO45225
69 years, male, NA, stage:1, alive, 1050 days
257.2
DO50808
68 years, male, NA, stage:2, alive, 570 days
256.8
DO48715
58 years, female, NA, stage:2, dead, 690 days
254.7
DO48721
58 years, female, NA, stage:1, alive, 900 days
253.6
DO23535
67 years, male, NA, stage:1, alive, 960 days
252.2
DO23542
66 years, male, NA, stage:3, alive, 960 days
250.9
DO48712
50 years, male, NA, stage:2, alive, 810 days
245.5
DO45191
61 years, female, NA, stage:2, alive, 1200 days
241.4
DO45249
57 years, male, NA, stage:1, alive, 630 days
221.3
DO45171
56 years, male, NA, stage:3, alive, 600 days
213.3
DO23547
74 years, male, NA, stage:1, alive, 1020 days
207.3
DO45265
73 years, male, NA, stage:3, alive, 1020 days
201.3
DO45139
63 years, male, NA, stage:3, alive, 1320 days
200.5
DO50855
47 years, male, NA, stage:2, alive, 570 days
198.2
DO48697
64 years, female, NA, stage:2, dead, 810 days
196.9
DO48674
80 years, male, NA, stage:2, alive, 1260 days
191.6
DO50787
63 years, male, NA, stage:3, alive, 480 days
186.6
DO45239
42 years, male, NA, stage:2, alive, 870 days
185.9
DO23531
78 years, female, NA, stage:3, alive, 900 days
185.0
DO48747
62 years, male, NA, stage:3, alive, 540 days
184.7
DO45123
78 years, female, NA, stage:2, dead, 570 days
182.5
DO45219
78 years, male, NA, stage:2, alive, 1080 days
177.6
DO23537
79 years, male, NA, stage:2, dead, 900 days
174.4
DO45199
86 years, female, NA, stage:2, alive, 1350 days
172.7
DO48730
73 years, female, NA, stage:2, alive, 630 days
172.4
DO45183
72 years, female, NA, stage:2, dead, 570 days
168.1
DO48717
54 years, male, NA, stage:4, dead, 180 days
167.9
DO45137
38 years, male, NA, stage:1, alive, 1320 days
167.7
DO45145
78 years, male, NA, stage:3, dead, 60 days
164.7
DO45247
31 years, female, NA, stage:2, alive, 210 days
164.4
DO23514
64 years, male, NA, stage:2, alive, 1290 days
163.8
DO23552
80 years, female, NA, stage:1, alive, 810 days
163.1
DO45231
84 years, male, NA, stage:2, alive, 930 days
162.0
DO45203
71 years, female, NA, stage:2, alive, 1170 days
152.3
DO45269
59 years, male, NA, stage:3, alive, 750 days
149.6
DO45275
65 years, male, NA, stage:3, dead, 10 days
149.6
DO50791
79 years, female, NA, stage:1, dead, 480 days
149.1
DO23517
62 years, male, NA, stage:2, alive, 1200 days
147.4
DO48761
55 years, male, NA, stage:2, alive, 870 days
141.8
DO50813
56 years, male, NA, stage:2, alive, 420 days
138.0
DO50802
49 years, male, NA, stage:2, alive, 930 days
135.4
DO45179
78 years, female, NA, stage:2, alive, 600 days
128.5
DO50820
77 years, female, NA, stage:3, alive, 510 days
125.6
DO48720
62 years, female, NA, stage:2, alive, 570 days
124.6
DO45263
67 years, male, NA, stage:3, dead, 270 days
124.3
DO50807
67 years, male, NA, stage:1, alive, 540 days
124.0
DO23534
60 years, male, NA, stage:2, alive, 840 days
122.2
DO48732
73 years, male, NA, stage:3, alive, 630 days
114.1
DO50815
62 years, male, NA, stage:3, alive, 150 days
108.9
DO48736
76 years, female, NA, stage:1, alive, 600 days
107.6
DO48728
74 years, female, NA, stage:2, alive, 150 days
103.1
DO23513
76 years, male, NA, stage:3, alive, 1200 days
101.8
DO48751
68 years, male, NA, stage:2, dead, 480 days
95.3
DO45301
56 years, male, NA, stage:2, dead, 1440 days
95.0
DO45155
69 years, male, NA, stage:2, alive, 2160 days
93.9
DO23526
66 years, male, NA, stage:3, alive, 1050 days
90.7
DO45209
70 years, male, NA, stage:4, alive, 1350 days
89.5
DO45243
74 years, female, NA, stage:3, alive, 930 days
88.4
DO23549
74 years, male, NA, stage:3, alive, 990 days
87.6
DO50832
73 years, male, NA, stage:3, alive, 90 days
80.4
DO50840
49 years, male, NA, stage:2, alive, 330 days
76.9
DO45283
60 years, male, NA, stage:3, alive, 510 days
74.0
DO48682
72 years, female, NA, stage:3, dead, 120 days
70.8
DO45251
57 years, female, NA, stage:2, alive, 900 days
69.6
DO50844
75 years, male, NA, stage:4, alive, 300 days
66.9
DO45307
54 years, female, NA, stage:4, dead, 240 days
61.9
DO23515
71 years, male, NA, stage:2, alive, 1230 days
61.4
DO45277
64 years, male, NA, stage:3, alive, 600 days
61.1
DO45185
89 years, male, NA, stage:2, alive, 600 days
50.1
DO48727
81 years, female, NA, stage:2, dead, 390 days
49.1
DO45287
74 years, male, NA, stage:1, alive, 390 days
42.0
DO23521
63 years, male, NA, stage:3, alive, 1110 days
37.8
DO45305
66 years, male, NA, stage:4, alive, 300 days
34.5
DO45303
62 years, female, NA, stage:3, alive, 990 days
31.6
DO45237
58 years, male, NA, stage:2, alive, 900 days
29.3
DO45189
85 years, female, NA, stage:2, alive, 1200 days
26.2
DO48719
80 years, male, NA, stage:2, alive, 690 days
25.4
DO45285
59 years, male, NA, stage:3, alive, 480 days
20.1
DO45289
78 years, female, NA, stage:3, alive, 360 days
19.1
DO45279
67 years, male, NA, stage:3, alive, 1290 days
18.8
DO23529
72 years, male, NA, stage:4, alive, 930 days
18.5
DO45245
75 years, female, NA, stage:2, dead, 240 days
17.2
DO45205
67 years, female, NA, stage:2, dead, 90 days
16.0
DO45297
61 years, female, NA, stage:4, dead, 1260 days
14.2
DO45211
76 years, male, NA, stage:3, alive, 240 days
13.9
DO45259
65 years, male, NA, stage:3, alive, 330 days
4.7
DO45299
70 years, female, NA, stage:1, alive, 1440 days
3.3
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
