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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.
CD63 is validated prognostic, high expression is unfavorable in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 1.63
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.000046
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.
29%
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.
56%
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
543.4
Number of samples
362
Samples
Sample
Description
TPM
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
3297.0
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
2267.1
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
1905.2
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
1745.5
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
1628.6
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
1618.5
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
1553.7
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
1499.5
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
1452.5
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
1443.5
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
1429.8
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
1397.3
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
1382.5
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
1366.5
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
1294.6
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
1280.4
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
1275.6
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
1233.9
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
1211.9
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
1179.0
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
1158.5
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
1157.3
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
1153.4
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
1136.5
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
1131.2
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
1083.9
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
1040.7
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
1031.1
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
1025.6
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
1021.8
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
1019.2
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
1018.3
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
995.7
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
993.6
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
986.5
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
965.5
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
964.0
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
941.4
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
936.4
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
935.3
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
932.0
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
897.2
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
890.1
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
875.7
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
875.0
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
864.0
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
860.3
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
859.5
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
857.3
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
818.6
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
805.2
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
796.1
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
792.6
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
783.1
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
780.3
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
774.6
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
767.0
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
764.8
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
764.5
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
762.5
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
757.1
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
749.2
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
742.3
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
737.3
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
736.0
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
730.8
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
725.6
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
716.4
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
700.1
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
693.5
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
688.6
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
688.5
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
687.0
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
684.0
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
682.7
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
681.0
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
677.0
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
669.7
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
665.3
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
665.0
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
664.7
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
661.1
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
660.5
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
659.9
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
659.2
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
657.7
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
656.4
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
653.9
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
648.4
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
641.4
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
639.9
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
638.4
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
618.9
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
615.0
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
613.8
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
613.7
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
611.7
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
608.0
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
605.9
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
605.2
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
596.1
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
595.4
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
594.2
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
593.4
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
587.3
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
584.9
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
584.6
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
583.3
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
582.3
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
580.8
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
580.1
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
579.8
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
578.0
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
576.9
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
573.7
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
570.5
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
569.0
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
568.8
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
567.4
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
564.9
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
562.9
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
553.2
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
552.8
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
550.2
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
546.9
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
539.8
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
537.2
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
531.6
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
530.1
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
527.8
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
525.4
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
523.9
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
523.6
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
518.8
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
518.7
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
516.7
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
513.8
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
512.9
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
512.7
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
512.1
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
511.4
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
509.2
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
507.8
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
506.8
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
502.7
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
502.6
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
502.1
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
501.6
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
501.3
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
498.8
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
497.3
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
494.6
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
493.7
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
491.5
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
489.2
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
486.9
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
486.6
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
485.0
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
482.8
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
480.1
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
476.1
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
473.9
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
472.0
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
466.1
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
465.0
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
463.5
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
462.6
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
460.4
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
459.9
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
458.5
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
457.3
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
456.3
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
455.6
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
455.5
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
454.4
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
452.1
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
451.9
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
451.6
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
451.6
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
449.5
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
449.4
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
446.5
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
446.0
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
445.0
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
443.4
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
442.7
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
441.8
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
441.1
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
439.7
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
438.9
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
438.2
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
436.6
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
436.2
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
435.8
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
433.7
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
433.1
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
432.1
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
432.0
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
428.8
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
428.6
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
428.4
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
427.5
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
422.9
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
421.6
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
421.2
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
417.0
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
414.8
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
413.4
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
412.3
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
409.2
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
408.9
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
408.7
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
408.5
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
407.5
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
405.8
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
404.9
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
404.8
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
402.9
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
401.1
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
400.7
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
400.1
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
396.6
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
393.2
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
393.0
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
392.9
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
392.4
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
391.2
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
390.5
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
389.9
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
389.8
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
389.6
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
387.1
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
385.8
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
383.7
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
383.7
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
381.7
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
381.0
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
380.0
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
380.0
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
379.2
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
378.1
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
376.0
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
374.8
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
372.5
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
371.7
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
371.2
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
370.0
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
368.6
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
368.0
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
367.1
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
366.8
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
365.2
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
364.5
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
363.4
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
358.1
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
356.3
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
355.6
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
353.8
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
353.5
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
350.7
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
349.4
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
349.1
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
347.8
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
347.6
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
347.0
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
346.5
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
346.5
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
346.1
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
346.0
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
345.5
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
344.5
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
343.7
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
340.3
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
338.3
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
338.1
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
334.0
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
333.3
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
331.4
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
329.8
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
329.8
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
328.2
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
328.2
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
326.4
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
323.6
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
323.4
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
322.9
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
320.1
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
317.2
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
314.8
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
310.7
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
310.5
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
305.4
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
304.4
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
304.3
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
303.5
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
302.9
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
301.8
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
300.1
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
299.2
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
298.9
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
298.2
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
297.4
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
296.4
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
289.1
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
288.3
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
287.0
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
285.7
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
284.4
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
282.7
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
277.8
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
277.0
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
276.6
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
273.4
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
273.1
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
272.3
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
272.1
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
270.3
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
266.8
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
265.3
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
260.4
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
258.6
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
257.4
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
256.6
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
253.7
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
253.4
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
251.7
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
251.2
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
250.0
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
248.0
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
247.9
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
244.7
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
244.3
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
243.7
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
243.4
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
242.8
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
241.7
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
240.3
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
240.0
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
227.5
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
226.2
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
224.7
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
222.7
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
222.2
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
222.0
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
218.8
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
215.7
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
210.4
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
210.3
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
209.4
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
206.4
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
201.9
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
199.7
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
197.2
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
194.2
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
182.6
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
175.8
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
172.5
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
169.5
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
157.3
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
144.4
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
144.2
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 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.
CD63 is validated prognostic, high expression is unfavorable in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 2.14
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.00018
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.
36%
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.
73%
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
501.3
Number of samples
231
Samples
Sample
Description
TPM
DO45275
65 years, male, NA, stage:3, dead, 10 days
2118.3
DO23523
52 years, male, NA, stage:3, alive, 1080 days
1854.8
DO50829
78 years, male, NA, stage:3, alive, 570 days
1581.2
DO45245
75 years, female, NA, stage:2, dead, 240 days
1538.5
DO45289
78 years, female, NA, stage:3, alive, 360 days
1414.4
DO48747
62 years, male, NA, stage:3, alive, 540 days
1377.9
DO45307
54 years, female, NA, stage:4, dead, 240 days
1299.6
DO45285
59 years, male, NA, stage:3, alive, 480 days
1259.0
DO23524
71 years, female, NA, stage:2, alive, 1050 days
1256.9
DO45305
66 years, male, NA, stage:4, alive, 300 days
1218.5
DO45303
62 years, female, NA, stage:3, alive, 990 days
1169.7
DO45277
64 years, male, NA, stage:3, alive, 600 days
1158.7
DO45145
78 years, male, NA, stage:3, dead, 60 days
1029.8
DO45092
62 years, male, NA, stage:4, dead, 1200 days
1018.7
DO45263
67 years, male, NA, stage:3, dead, 270 days
1001.0
DO23519
65 years, male, NA, stage:3, alive, 630 days
985.7
DO45127
73 years, male, NA, stage:3, dead, 420 days
981.8
DO45185
89 years, male, NA, stage:2, alive, 600 days
963.6
DO45283
60 years, male, NA, stage:3, alive, 510 days
963.4
DO23515
71 years, male, NA, stage:2, alive, 1230 days
936.0
DO45119
74 years, male, NA, stage:3, dead, 510 days
913.6
DO23547
74 years, male, NA, stage:1, alive, 1020 days
876.9
DO45297
61 years, female, NA, stage:4, dead, 1260 days
871.5
DO45205
67 years, female, NA, stage:2, dead, 90 days
854.5
DO48741
64 years, male, NA, stage:3, alive, 240 days
850.1
DO45269
59 years, male, NA, stage:3, alive, 750 days
832.2
DO45139
63 years, male, NA, stage:3, alive, 1320 days
817.5
DO45287
74 years, male, NA, stage:1, alive, 390 days
805.7
DO45135
77 years, male, NA, stage:1, alive, 1410 days
774.6
DO48723
73 years, male, NA, stage:1, alive, 600 days
770.6
DO45259
65 years, male, NA, stage:3, alive, 330 days
754.9
DO50785
37 years, male, NA, stage:4, dead, 90 days
740.2
DO23539
77 years, male, NA, stage:1, alive, 1110 days
738.4
DO45279
67 years, male, NA, stage:3, alive, 1290 days
738.4
DO45183
72 years, female, NA, stage:2, dead, 570 days
737.8
DO45223
67 years, male, NA, stage:4, alive, 1020 days
732.6
DO48697
64 years, female, NA, stage:2, dead, 810 days
727.2
DO48761
55 years, male, NA, stage:2, alive, 870 days
706.8
DO23530
53 years, male, NA, stage:4, dead, 180 days
700.3
DO50778
60 years, male, NA, stage:4, alive, 630 days
690.7
DO45251
57 years, female, NA, stage:2, alive, 900 days
686.7
DO45249
57 years, male, NA, stage:1, alive, 630 days
685.2
DO45301
56 years, male, NA, stage:2, dead, 1440 days
682.5
DO45157
62 years, male, NA, stage:2, alive, 1980 days
681.7
DO45299
70 years, female, NA, stage:1, alive, 1440 days
677.0
DO45241
49 years, male, NA, stage:1, alive, 1080 days
668.3
DO23535
67 years, male, NA, stage:1, alive, 960 days
668.1
DO45143
69 years, male, NA, stage:3, alive, 1290 days
658.2
DO23508
79 years, female, NA, stage:2, alive, 390 days
655.9
DO48751
68 years, male, NA, stage:2, dead, 480 days
655.3
DO50806
70 years, male, NA, stage:4, alive, 540 days
648.1
DO45131
53 years, male, NA, stage:4, dead, 360 days
643.4
DO48717
54 years, male, NA, stage:4, dead, 180 days
642.6
DO45115
81 years, male, NA, stage:2, alive, 840 days
640.5
DO45191
61 years, female, NA, stage:2, alive, 1200 days
639.9
DO45187
32 years, female, NA, stage:1, alive, 1260 days
624.4
DO48681
57 years, male, NA, stage:2, alive, 900 days
622.7
DO45265
73 years, male, NA, stage:3, alive, 1020 days
616.1
DO50808
68 years, male, NA, stage:2, alive, 570 days
607.4
DO45267
73 years, male, NA, stage:3, dead, 570 days
604.9
DO50813
56 years, male, NA, stage:2, alive, 420 days
597.7
DO50789
73 years, female, NA, stage:2, alive, 570 days
591.0
DO50855
47 years, male, NA, stage:2, alive, 570 days
580.6
DO45103
47 years, male, NA, stage:3, alive, 450 days
575.8
DO50805
72 years, male, NA, stage:2, alive, 690 days
574.8
DO45149
70 years, female, NA, stage:2, alive, 1260 days
572.2
DO48730
73 years, female, NA, stage:2, alive, 630 days
566.1
DO50809
56 years, male, NA, stage:3, dead, 720 days
561.3
DO23526
66 years, male, NA, stage:3, alive, 1050 days
556.3
DO48720
62 years, female, NA, stage:2, alive, 570 days
554.1
DO50819
72 years, female, NA, stage:2, alive, 510 days
544.3
DO45155
69 years, male, NA, stage:2, alive, 2160 days
542.1
DO48679
72 years, male, NA, stage:2, alive, 1200 days
537.8
DO45189
85 years, female, NA, stage:2, alive, 1200 days
537.4
DO45173
63 years, male, NA, stage:3, alive, 1170 days
535.2
DO48728
74 years, female, NA, stage:2, alive, 150 days
531.4
DO45231
84 years, male, NA, stage:2, alive, 930 days
530.6
DO50800
74 years, male, NA, stage:2, alive, 510 days
528.1
DO50839
47 years, female, NA, stage:3, alive, 330 days
523.3
DO23545
67 years, male, NA, stage:2, dead, 570 days
505.5
DO45109
63 years, male, NA, stage:2, alive, 1590 days
502.5
DO45093
71 years, male, NA, stage:2, dead, 720 days
497.6
DO50783
62 years, male, NA, stage:3, alive, 480 days
491.7
DO48682
72 years, female, NA, stage:3, dead, 120 days
491.5
DO45153
77 years, female, NA, stage:2, alive, 1380 days
490.7
DO50814
83 years, male, NA, stage:3, alive, 420 days
490.1
DO45221
75 years, female, NA, stage:4, dead, 390 days
490.0
DO48743
69 years, female, NA, stage:2, alive, 570 days
489.8
DO48715
58 years, female, NA, stage:2, dead, 690 days
489.4
DO45243
74 years, female, NA, stage:3, alive, 930 days
489.3
DO48672
81 years, male, NA, stage:2, alive, 450 days
487.4
DO48737
52 years, male, NA, stage:1, alive, 720 days
486.7
DO23549
74 years, male, NA, stage:3, alive, 990 days
484.0
DO50776
75 years, male, NA, stage:1, alive, 690 days
481.9
DO23542
66 years, male, NA, stage:3, alive, 960 days
481.6
DO45273
62 years, male, NA, stage:2, alive, 480 days
480.9
DO23529
72 years, male, NA, stage:4, alive, 930 days
478.7
DO50822
66 years, male, NA, stage:2, alive, 510 days
478.4
DO45105
61 years, male, NA, stage:1, alive, 1680 days
465.2
DO50787
63 years, male, NA, stage:3, alive, 480 days
457.6
DO50850
74 years, male, NA, stage:3, alive, 720 days
456.3
DO48725
66 years, male, NA, stage:1, alive, 780 days
451.9
DO23513
76 years, male, NA, stage:3, alive, 1200 days
451.0
DO45165
75 years, male, NA, stage:2, alive, 690 days
444.8
DO23512
60 years, male, NA, stage:1, alive, 1260 days
444.5
DO45239
42 years, male, NA, stage:2, alive, 870 days
439.3
DO48732
73 years, male, NA, stage:3, alive, 630 days
437.0
DO45121
61 years, male, NA, stage:3, alive, 1530 days
431.8
DO45179
78 years, female, NA, stage:2, alive, 600 days
430.2
DO48712
50 years, male, NA, stage:2, alive, 810 days
428.9
DO45141
73 years, male, NA, stage:2, alive, 1320 days
428.4
DO45201
49 years, male, NA, stage:1, alive, 900 days
427.5
DO23510
80 years, female, NA, stage:2, alive, 870 days
427.0
DO48700
78 years, female, NA, stage:2, alive, 810 days
425.0
DO45095
66 years, male, NA, stage:2, alive, 1620 days
415.2
DO45213
58 years, male, NA, stage:1, alive, 1200 days
414.4
DO45161
74 years, male, NA, stage:2, dead, 540 days
410.4
DO45171
56 years, male, NA, stage:3, alive, 600 days
406.4
DO23550
69 years, male, NA, stage:1, alive, 990 days
405.7
DO48736
76 years, female, NA, stage:1, alive, 600 days
405.3
DO48759
73 years, male, NA, stage:3, alive, 720 days
404.2
DO50803
62 years, female, NA, stage:1, alive, 540 days
404.0
DO23543
63 years, male, NA, stage:2, alive, 1020 days
402.8
DO23537
79 years, male, NA, stage:2, dead, 900 days
400.9
DO45091
56 years, male, NA, stage:2, dead, 1320 days
400.0
DO45097
69 years, male, NA, stage:3, alive, 1620 days
396.3
DO23533
61 years, male, NA, stage:2, alive, 900 days
393.1
DO45209
70 years, male, NA, stage:4, alive, 1350 days
384.9
DO48701
78 years, male, NA, stage:2, alive, 780 days
384.3
DO23548
78 years, female, NA, stage:1, alive, 840 days
383.8
DO50825
70 years, male, NA, stage:2, alive, 390 days
383.8
DO50774
68 years, female, NA, stage:2, alive, 720 days
383.4
DO45281
83 years, male, NA, stage:4, alive, 750 days
377.8
DO45133
64 years, male, NA, stage:3, dead, 660 days
375.8
DO48742
76 years, male, NA, stage:2, alive, 600 days
372.9
DO23541
65 years, male, NA, stage:2, alive, 930 days
369.6
DO45177
81 years, female, NA, stage:3, alive, 1260 days
368.7
DO50818
65 years, male, NA, stage:2, alive, 510 days
367.1
DO23511
83 years, female, NA, stage:3, dead, 180 days
366.9
DO23525
71 years, male, NA, stage:4, alive, 1050 days
365.0
DO45169
74 years, male, NA, stage:3, alive, 1350 days
364.0
DO23546
63 years, male, NA, stage:2, alive, 1050 days
363.1
DO50859
77 years, male, NA, stage:2, alive, 180 days
363.0
DO48693
71 years, male, NA, stage:2, alive, 900 days
361.9
DO45181
84 years, female, NA, stage:2, alive, 1200 days
349.4
DO227801
77 years, female, NA, stage:1, alive, 660 days
345.7
DO45211
76 years, male, NA, stage:3, alive, 240 days
344.7
DO48719
80 years, male, NA, stage:2, alive, 690 days
343.7
DO23536
56 years, male, NA, stage:2, alive, 930 days
343.4
DO45233
83 years, male, NA, stage:3, alive, 900 days
338.5
DO23514
64 years, male, NA, stage:2, alive, 1290 days
337.9
DO45217
69 years, female, NA, stage:3, dead, 270 days
334.6
DO45197
51 years, male, NA, stage:2, alive, 1170 days
332.2
DO50845
72 years, male, NA, stage:3, alive, 210 days
328.2
DO45229
74 years, male, NA, stage:1, alive, 990 days
326.4
DO45225
69 years, male, NA, stage:1, alive, 1050 days
326.4
DO45255
81 years, male, NA, stage:3, alive, 720 days
324.7
DO45129
61 years, male, NA, stage:3, alive, 1470 days
323.6
DO23527
72 years, male, NA, stage:1, alive, 1050 days
322.2
DO50802
49 years, male, NA, stage:2, alive, 930 days
320.9
DO48733
72 years, male, NA, stage:2, alive, 600 days
316.3
DO50840
49 years, male, NA, stage:2, alive, 330 days
314.4
DO50811
62 years, male, NA, stage:1, alive, 450 days
310.5
DO23509
60 years, male, NA, stage:3, dead, 780 days
310.3
DO48695
77 years, male, NA, stage:2, alive, 720 days
310.2
DO50820
77 years, female, NA, stage:3, alive, 510 days
308.9
DO45227
57 years, female, NA, stage:2, alive, 1020 days
308.2
DO45219
78 years, male, NA, stage:2, alive, 1080 days
307.3
DO23518
67 years, male, NA, stage:2, alive, 1320 days
306.9
DO45203
71 years, female, NA, stage:2, alive, 1170 days
305.5
DO45137
38 years, male, NA, stage:1, alive, 1320 days
304.3
DO45175
74 years, male, NA, stage:2, alive, 1140 days
304.2
DO45207
68 years, male, NA, stage:1, alive, 1050 days
302.8
DO23534
60 years, male, NA, stage:2, alive, 840 days
301.0
DO45261
74 years, male, NA, stage:3, alive, 990 days
299.5
DO48704
68 years, female, NA, stage:3, alive, 750 days
299.4
DO45163
76 years, male, NA, stage:2, alive, 960 days
298.3
DO48760
70 years, female, NA, stage:2, alive, 690 days
298.0
DO45113
58 years, male, NA, stage:3, alive, 1560 days
297.4
DO45247
31 years, female, NA, stage:2, alive, 210 days
297.3
DO48757
68 years, female, NA, stage:3, alive, 480 days
295.8
DO45099
46 years, male, NA, stage:3, alive, 1590 days
294.9
DO23517
62 years, male, NA, stage:2, alive, 1200 days
294.8
DO45235
68 years, female, NA, stage:1, alive, 900 days
294.0
DO23551
73 years, male, NA, stage:3, dead, 150 days
289.4
DO48716
71 years, male, NA, stage:2, alive, 720 days
288.0
DO45159
65 years, male, NA, stage:3, alive, 1470 days
285.1
DO48674
80 years, male, NA, stage:2, alive, 1260 days
279.5
DO45257
46 years, male, NA, stage:3, alive, 810 days
275.1
DO50832
73 years, male, NA, stage:3, alive, 90 days
274.8
DO23516
69 years, male, NA, stage:3, dead, 20 days
273.5
DO227643
79 years, male, NA, stage:2, alive, 1260 days
273.4
DO45111
74 years, male, NA, stage:2, alive, 1590 days
272.8
DO45215
65 years, male, NA, stage:2, alive, 1170 days
269.5
DO45096
69 years, male, NA, stage:2, dead, 1290 days
269.1
DO45101
63 years, male, NA, stage:2, alive, 1680 days
268.6
DO50804
81 years, male, NA, stage:2, alive, 720 days
268.2
DO48677
58 years, male, NA, stage:3, alive, 1140 days
267.0
DO45094
76 years, male, NA, stage:3, alive, 1650 days
266.3
DO23531
78 years, female, NA, stage:3, alive, 900 days
264.2
DO50798
77 years, male, NA, stage:3, dead, 30 days
263.0
DO23521
63 years, male, NA, stage:3, alive, 1110 days
259.2
DO23544
67 years, male, NA, stage:2, alive, 960 days
257.2
DO50799
66 years, female, NA, stage:2, alive, 540 days
256.7
DO50791
79 years, female, NA, stage:1, dead, 480 days
255.6
DO45117
73 years, female, NA, stage:2, dead, 1110 days
253.8
DO23552
80 years, female, NA, stage:1, alive, 810 days
250.8
DO48746
76 years, male, NA, stage:3, alive, 570 days
248.0
DO45123
78 years, female, NA, stage:2, dead, 570 days
243.4
DO45193
68 years, female, NA, stage:4, dead, 120 days
238.5
DO50815
62 years, male, NA, stage:3, alive, 150 days
229.7
DO50807
67 years, male, NA, stage:1, alive, 540 days
223.2
DO23538
67 years, male, NA, stage:2, alive, 450 days
219.1
DO50816
63 years, male, NA, stage:2, alive, 390 days
216.0
DO48727
81 years, female, NA, stage:2, dead, 390 days
215.6
DO48706
72 years, male, NA, stage:2, alive, 870 days
214.1
DO45167
67 years, male, NA, stage:2, dead, 1440 days
208.7
DO45237
58 years, male, NA, stage:2, alive, 900 days
202.2
DO45199
86 years, female, NA, stage:2, alive, 1350 days
201.3
DO50817
75 years, male, NA, stage:2, alive, 390 days
198.4
DO50793
76 years, male, NA, stage:4, alive, 540 days
195.6
DO23528
45 years, female, NA, stage:2, alive, 1020 days
190.2
DO50844
75 years, male, NA, stage:4, alive, 300 days
187.2
DO50857
72 years, male, NA, stage:2, alive, 210 days
187.1
DO23540
73 years, male, NA, stage:1, alive, 750 days
185.2
DO48721
58 years, female, NA, stage:1, alive, 900 days
184.4
DO45195
62 years, male, NA, stage:1, alive, 390 days
182.7
DO45253
50 years, male, NA, stage:2, alive, 870 days
182.1
DO45107
63 years, female, NA, stage:2, alive, 1710 days
166.9
DO23532
71 years, female, NA, stage:1, alive, 960 days
138.5
DO45125
58 years, male, NA, stage:3, alive, 1680 days
115.9
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LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
125
Tumor
1.8
983
Tumor
1.7
943
Tumor
1.5
917
Tumor
1.5
697
Tumor
1.4
617
Tumor
1.4
573
Tumor
1.4
147
Tumor
1.3
283
Tumor
1.3
363
Tumor
1.2
385
Tumor
1.2
545
Tumor
1.2
713
Tumor
1.1
527
Tumor
1.1
745
Tumor
1.1
343
Tumor
1.0
715
Tumor
1.0
737
Tumor
0.9
421
Tumor
0.9
851
Tumor
0.9
311
Tumor
0.8
211
Tumor
0.8
817
Tumor
0.8
478
Normal
0.7
492
Normal
0.7
671
Tumor
0.6
724
Normal
0.6
257
Tumor
0.6
536
Normal
0.6
517
Tumor
0.6
355
Tumor
0.6
135
Tumor
0.6
524
Normal
0.6
223
Tumor
0.6
661
Tumor
0.6
823
Tumor
0.5
498
Normal
0.5
857
Tumor
0.5
491
Tumor
0.5
877
Tumor
0.4
494
Normal
0.4
297
Tumor
0.4
444
Normal
0.4
384
Normal
0.4
425
Tumor
0.4
916
Normal
0.4
493
Tumor
0.4
471
Tumor
0.3
395
Tumor
0.3
124
Normal
0.3
516
Normal
0.3
923
Tumor
0.3
863
Tumor
0.3
535
Tumor
0.3
447
Tumor
0.3
538
Normal
0.3
224
Normal
0.3
284
Normal
0.3
672
Normal
0.3
852
Normal
0.3
467
Tumor
0.3
497
Tumor
0.3
192
Normal
0.2
455
Tumor
0.2
868
Normal
0.2
434
Normal
0.2
331
Tumor
0.2
393
Tumor
0.2
488
Normal
0.2
816
Normal
0.2
563
Tumor
0.2
554
Normal
0.2
1043
Tumor
0.2
744
Normal
0.2
958
Normal
0.2
221
Tumor
0.2
824
Normal
0.2
966
Normal
0.2
952
Normal
0.2
567
Tumor
0.2
728
Normal
0.2
976
Normal
0.2
878
Normal
0.2
195
Tumor
0.2
1041
Tumor
0.2
145
Tumor
0.1
716
Normal
0.1
778
Normal
0.1
815
Tumor
0.1
921
Tumor
0.1
268
Normal
0.1
354
Normal
0.1
957
Tumor
0.1
413
Tumor
0.1
146
Normal
0.1
1044
Normal
0.1
142
Normal
0.1
188
Normal
0.1
698
Normal
0.1
364
Normal
0.1
277
Tumor
0.1
864
Normal
0.1
571
Tumor
0.1
514
Normal
0.1
922
Normal
0.1
212
Normal
0.1
383
Tumor
0.1
483
Tumor
0.0
572
Normal
0.0
956
Normal
0.0
686
Normal
0.0
954
Normal
0.0
463
Tumor
0.0
727
Tumor
0.0
461
Tumor
0.0
228
Normal
0.0
813
Tumor
0.0
918
Normal
0.0
862
Normal
0.0
187
Tumor
0.0
443
Tumor
0.0
415
Tumor
0.0
448
Normal
0.0
874
Normal
0.0
312
Normal
0.0
984
Normal
0.0
474
Normal
0.0
484
Normal
0.0
953
Tumor
0.0
742
Normal
0.0
1045
Tumor
0.0
131
Tumor
0.0
738
Normal
0.0
553
Tumor
0.0
938
Normal
0.0
137
Tumor
0.0
1046
Normal
0.0
814
Normal
0.0
1028
Normal
-0.1
367
Tumor
-0.1
546
Normal
-0.1
185
Tumor
-0.1
746
Normal
-0.1
432
Normal
-0.1
1014
Normal
-0.1
351
Tumor
-0.1
365
Tumor
-0.1
262
Normal
-0.1
227
Tumor
-0.1
126
Normal
-0.1
1026
Normal
-0.1
1015
Tumor
-0.1
975
Tumor
-0.1
285
Tumor
-0.1
978
Normal
-0.1
272
Normal
-0.1
968
Normal
-0.1
558
Normal
-0.1
136
Normal
-0.1
663
Tumor
-0.1
525
Tumor
-0.1
696
Normal
-0.1
433
Tumor
-0.1
743
Tumor
-0.1
662
Normal
-0.1
1016
Normal
-0.1
515
Tumor
-0.1
352
Normal
-0.1
924
Normal
-0.1
642
Normal
-0.1
213
Tumor
-0.1
342
Normal
-0.1
162
Normal
-0.1
955
Tumor
-0.1
616
Normal
-0.1
881
Tumor
-0.1
564
Normal
-0.1
286
Normal
-0.1
362
Normal
-0.1
278
Normal
-0.2
574
Normal
-0.2
386
Normal
-0.2
883
Tumor
-0.2
313
Tumor
-0.2
911
Tumor
-0.2
1025
Tumor
-0.2
387
Tumor
-0.2
344
Normal
-0.2
786
Normal
-0.2
534
Normal
-0.2
464
Normal
-0.2
222
Normal
-0.2
723
Tumor
-0.2
138
Normal
-0.2
721
Tumor
-0.2
537
Tumor
-0.2
1042
Normal
-0.2
1022
Normal
-0.2
951
Tumor
-0.2
217
Tumor
-0.2
777
Tumor
-0.2
375
Tumor
-0.2
982
Normal
-0.2
452
Normal
-0.2
392
Normal
-0.2
388
Normal
-0.2
391
Tumor
-0.2
526
Normal
-0.2
858
Normal
-0.2
944
Normal
-0.2
926
Normal
-0.2
196
Normal
-0.2
394
Normal
-0.2
148
Normal
-0.2
913
Tumor
-0.3
636
Normal
-0.3
528
Normal
-0.3
866
Normal
-0.3
328
Normal
-0.3
818
Normal
-0.3
422
Normal
-0.3
628
Normal
-0.3
664
Normal
-0.3
513
Tumor
-0.3
964
Normal
-0.3
412
Normal
-0.3
214
Normal
-0.3
428
Normal
-0.3
618
Normal
-0.3
882
Normal
-0.3
111
Normal
-0.3
722
Normal
-0.3
861
Tumor
-0.3
191
Tumor
-0.3
366
Normal
-0.3
963
Tumor
-0.3
258
Normal
-0.3
396
Normal
-0.3
357
Tumor
-0.3
112
Tumor
-0.3
161
Tumor
-0.3
376
Normal
-0.3
925
Tumor
-0.3
132
Normal
-0.3
666
Normal
-0.3
1031
Tumor
-0.3
141
Tumor
-0.3
172
Normal
-0.3
568
Normal
-0.3
332
Normal
-0.4
462
Normal
-0.4
427
Tumor
-0.4
456
Normal
-0.4
361
Tumor
-0.4
912
Normal
-0.4
914
Normal
-0.4
468
Normal
-0.4
114
Normal
-0.4
218
Normal
-0.4
186
Normal
-0.4
967
Tumor
-0.4
873
Tumor
-0.4
665
Tumor
-0.4
685
Tumor
-0.4
298
Normal
-0.4
436
Normal
-0.4
232
Normal
-0.4
937
Tumor
-0.4
977
Tumor
-0.4
641
Tumor
-0.4
648
Normal
-0.4
477
Tumor
-0.4
647
Tumor
-0.4
368
Normal
-0.5
965
Tumor
-0.5
1032
Normal
-0.5
128
Normal
-0.5
695
Tumor
-0.5
356
Normal
-0.5
482
Normal
-0.5
416
Normal
-0.5
314
Normal
-0.5
446
Normal
-0.5
435
Tumor
-0.5
426
Normal
-0.5
424
Normal
-0.5
271
Tumor
-0.5
261
Tumor
-0.5
518
Normal
-0.5
915
Tumor
-0.5
451
Tumor
-0.5
785
Tumor
-0.5
414
Normal
-0.5
714
Normal
-0.5
466
Normal
-0.5
756
Normal
-0.5
358
Normal
-0.5
884
Normal
-0.6
1021
Tumor
-0.6
123
Tumor
-0.6
472
Normal
-0.6
1027
Tumor
-0.6
411
Tumor
-0.6
341
Tumor
-0.7
1013
Tumor
-0.7
557
Tumor
-0.7
127
Tumor
-0.7
353
Tumor
-0.7
523
Tumor
-0.7
867
Tumor
-0.8
171
Tumor
-0.8
615
Tumor
-0.8
741
Tumor
-0.8
231
Tumor
-0.8
445
Tumor
-0.8
865
Tumor
-0.9
423
Tumor
-0.9
627
Tumor
-0.9
481
Tumor
-0.9
533
Tumor
-1.0
465
Tumor
-1.0
755
Tumor
-1.0
473
Tumor
-1.1
431
Tumor
-1.1
267
Tumor
-1.1
327
Tumor
-1.1
487
Tumor
-1.1
113
Tumor
-1.3
981
Tumor
-1.4
635
Tumor
-1.4
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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.