We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
PSMB4 is potential 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.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
441.0
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
2967.9
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
1217.2
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1198.7
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1099.9
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
1049.2
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
1022.7
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
991.4
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
990.2
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
978.4
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
946.4
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
931.2
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
930.4
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
844.9
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
844.7
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
817.9
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
806.2
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
802.5
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
800.8
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
794.3
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
792.7
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
779.7
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
755.2
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
738.1
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
733.8
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
725.7
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
717.5
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
714.1
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
712.9
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
712.7
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
700.2
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
696.8
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
686.4
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
677.8
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
667.2
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
652.2
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
647.3
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
644.7
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
641.1
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
639.6
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
634.9
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
633.9
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
631.8
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
629.4
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
624.0
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
618.9
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
618.5
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
618.1
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
616.7
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
615.7
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
614.2
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
612.7
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
612.0
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
607.8
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
607.4
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
607.3
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
607.3
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
606.5
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
602.8
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
600.3
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
594.9
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
590.4
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
589.3
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
587.2
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
584.1
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
582.5
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
575.5
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
572.2
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
570.2
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
568.2
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
567.6
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
560.7
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
556.5
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
556.1
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
552.6
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
550.8
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
543.9
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
540.3
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
537.5
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
537.4
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
535.3
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
534.8
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
534.2
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
531.8
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
531.2
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
528.1
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
527.1
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
525.2
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
524.8
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
524.1
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
520.7
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
520.5
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
520.4
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
516.3
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
515.6
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
510.5
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
510.0
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
507.4
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
506.4
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
505.4
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
504.9
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
504.4
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
501.7
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
500.3
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
497.4
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
496.5
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
495.4
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
493.7
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
493.0
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
492.8
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
492.5
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
486.5
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
486.2
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
480.8
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
480.5
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
477.7
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
477.3
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
476.2
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
476.2
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
474.5
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
473.6
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
471.5
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
469.0
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
466.3
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
465.2
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
465.1
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
463.4
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
463.1
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
462.8
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
462.7
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
462.3
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
461.7
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
460.9
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
457.6
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
456.6
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
451.7
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
450.7
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
450.3
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
450.2
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
449.5
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
448.2
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
447.7
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
446.0
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
443.5
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
442.9
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
441.8
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
441.4
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
440.9
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
437.7
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
436.6
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
436.1
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
435.3
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
435.1
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
433.2
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
431.8
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
430.0
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
430.0
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
429.8
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
429.7
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
429.4
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
428.0
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
427.8
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
426.2
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
423.3
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
422.8
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
420.2
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
420.1
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
419.9
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
417.8
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
416.8
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
416.6
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
416.6
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
416.1
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
415.8
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
415.6
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
413.0
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
412.6
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
411.7
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
411.5
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
410.9
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
409.9
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
409.8
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
409.4
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
408.6
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
408.6
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
408.2
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
407.1
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
407.0
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
406.8
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
406.4
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
405.9
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
404.4
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
403.3
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
401.8
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
400.9
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
399.6
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
399.4
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
399.1
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
395.7
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
394.0
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
393.6
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
389.4
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
389.2
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
388.0
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
386.3
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
383.3
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
381.5
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
380.0
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
378.2
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
378.1
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
375.7
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
375.0
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
373.9
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
373.8
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
369.1
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
369.0
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
366.3
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
364.5
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
363.5
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
363.5
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
363.4
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
363.3
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
361.5
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
360.3
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
359.5
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
359.3
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
358.5
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
358.4
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
356.1
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
353.3
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
352.9
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
351.9
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
350.3
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
347.8
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
343.4
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
342.7
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
341.6
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
340.9
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
340.6
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
339.7
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
338.9
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
338.5
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
335.2
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
333.6
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
332.2
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
331.3
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
330.7
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
330.4
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
328.3
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
327.2
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
326.8
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
326.1
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
325.5
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
325.2
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
324.8
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
319.8
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
317.5
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
317.2
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
315.9
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
315.6
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
315.1
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
314.6
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
313.1
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
312.1
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
310.1
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
308.5
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
308.1
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
308.1
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
307.6
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
307.4
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
306.2
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
306.1
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
305.7
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
305.5
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
305.4
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
303.8
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
303.0
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
302.7
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
302.4
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
302.0
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
300.7
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
299.9
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
299.3
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
298.0
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
298.0
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
296.4
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
296.3
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
296.2
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
296.1
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
293.2
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
292.3
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
292.3
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
292.0
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
291.9
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
287.4
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
285.9
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
283.0
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
282.7
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
281.5
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
279.4
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
275.2
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
270.8
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
270.5
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
269.2
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
267.8
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
266.3
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
265.5
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
265.0
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
264.1
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
262.9
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
261.9
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
260.1
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
258.4
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
255.6
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
253.6
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
251.2
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
250.0
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
249.7
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
246.8
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
246.1
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
243.7
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
241.5
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
240.0
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
239.5
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
239.2
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
238.5
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
236.8
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
235.6
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
235.5
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
232.4
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
231.4
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
229.6
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
228.8
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
226.8
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
226.2
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
224.8
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
220.4
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
219.9
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
219.6
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
216.4
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
215.6
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
210.7
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
209.3
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
207.0
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
202.7
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
202.1
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
197.2
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
195.3
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
195.1
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
194.4
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
194.3
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
191.3
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
189.0
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
188.0
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
187.4
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
186.8
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
184.2
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
179.1
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
171.3
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
170.8
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
170.2
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
166.4
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 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.
PSMB4 is not prognostic in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
488.2
Number of samples
231
Samples
Sample
Description
pTPM
DO50791
79 years, female, NA, stage:1, dead, 480 days
1572.2
DO45275
65 years, male, NA, stage:3, dead, 10 days
1338.2
DO45277
64 years, male, NA, stage:3, alive, 600 days
1237.6
DO48747
62 years, male, NA, stage:3, alive, 540 days
1169.5
DO45209
70 years, male, NA, stage:4, alive, 1350 days
1166.8
DO50783
62 years, male, NA, stage:3, alive, 480 days
1050.2
DO48732
73 years, male, NA, stage:3, alive, 630 days
1043.0
DO50829
78 years, male, NA, stage:3, alive, 570 days
1032.7
DO23521
63 years, male, NA, stage:3, alive, 1110 days
994.2
DO45251
57 years, female, NA, stage:2, alive, 900 days
955.7
DO23526
66 years, male, NA, stage:3, alive, 1050 days
925.0
DO45185
89 years, male, NA, stage:2, alive, 600 days
905.7
DO23508
79 years, female, NA, stage:2, alive, 390 days
870.9
DO45287
74 years, male, NA, stage:1, alive, 390 days
856.2
DO48737
52 years, male, NA, stage:1, alive, 720 days
851.9
DO45301
56 years, male, NA, stage:2, dead, 1440 days
846.4
DO45205
67 years, female, NA, stage:2, dead, 90 days
841.1
DO23525
71 years, male, NA, stage:4, alive, 1050 days
802.8
DO45253
50 years, male, NA, stage:2, alive, 870 days
793.6
DO48704
68 years, female, NA, stage:3, alive, 750 days
785.8
DO23537
79 years, male, NA, stage:2, dead, 900 days
783.0
DO23529
72 years, male, NA, stage:4, alive, 930 days
777.2
DO48741
64 years, male, NA, stage:3, alive, 240 days
766.7
DO45249
57 years, male, NA, stage:1, alive, 630 days
755.4
DO50839
47 years, female, NA, stage:3, alive, 330 days
752.2
DO23541
65 years, male, NA, stage:2, alive, 930 days
749.4
DO50799
66 years, female, NA, stage:2, alive, 540 days
749.2
DO45145
78 years, male, NA, stage:3, dead, 60 days
746.1
DO45092
62 years, male, NA, stage:4, dead, 1200 days
738.0
DO23514
64 years, male, NA, stage:2, alive, 1290 days
731.4
DO50811
62 years, male, NA, stage:1, alive, 450 days
725.9
DO45267
73 years, male, NA, stage:3, dead, 570 days
711.7
DO45261
74 years, male, NA, stage:3, alive, 990 days
691.0
DO45307
54 years, female, NA, stage:4, dead, 240 days
690.2
DO45171
56 years, male, NA, stage:3, alive, 600 days
689.5
DO45095
66 years, male, NA, stage:2, alive, 1620 days
688.3
DO45257
46 years, male, NA, stage:3, alive, 810 days
686.1
DO45159
65 years, male, NA, stage:3, alive, 1470 days
684.5
DO50850
74 years, male, NA, stage:3, alive, 720 days
681.8
DO23513
76 years, male, NA, stage:3, alive, 1200 days
673.7
DO45119
74 years, male, NA, stage:3, dead, 510 days
662.5
DO45115
81 years, male, NA, stage:2, alive, 840 days
662.3
DO48697
64 years, female, NA, stage:2, dead, 810 days
655.9
DO48672
81 years, male, NA, stage:2, alive, 450 days
655.4
DO23516
69 years, male, NA, stage:3, dead, 20 days
651.5
DO45279
67 years, male, NA, stage:3, alive, 1290 days
646.1
DO45163
76 years, male, NA, stage:2, alive, 960 days
645.7
DO48746
76 years, male, NA, stage:3, alive, 570 days
636.8
DO48723
73 years, male, NA, stage:1, alive, 600 days
627.5
DO48717
54 years, male, NA, stage:4, dead, 180 days
622.0
DO45299
70 years, female, NA, stage:1, alive, 1440 days
621.5
DO45097
69 years, male, NA, stage:3, alive, 1620 days
618.6
DO23539
77 years, male, NA, stage:1, alive, 1110 days
618.1
DO45139
63 years, male, NA, stage:3, alive, 1320 days
614.6
DO50800
74 years, male, NA, stage:2, alive, 510 days
611.3
DO45225
69 years, male, NA, stage:1, alive, 1050 days
602.8
DO45273
62 years, male, NA, stage:2, alive, 480 days
600.6
DO45259
65 years, male, NA, stage:3, alive, 330 days
600.5
DO48706
72 years, male, NA, stage:2, alive, 870 days
598.2
DO45263
67 years, male, NA, stage:3, dead, 270 days
587.0
DO45199
86 years, female, NA, stage:2, alive, 1350 days
585.6
DO45237
58 years, male, NA, stage:2, alive, 900 days
585.0
DO48700
78 years, female, NA, stage:2, alive, 810 days
564.4
DO45155
69 years, male, NA, stage:2, alive, 2160 days
561.9
DO23548
78 years, female, NA, stage:1, alive, 840 days
561.5
DO48695
77 years, male, NA, stage:2, alive, 720 days
560.8
DO50798
77 years, male, NA, stage:3, dead, 30 days
550.4
DO45235
68 years, female, NA, stage:1, alive, 900 days
549.2
DO23524
71 years, female, NA, stage:2, alive, 1050 days
542.9
DO45213
58 years, male, NA, stage:1, alive, 1200 days
542.1
DO50844
75 years, male, NA, stage:4, alive, 300 days
540.6
DO50814
83 years, male, NA, stage:3, alive, 420 days
538.4
DO48701
78 years, male, NA, stage:2, alive, 780 days
537.9
DO50805
72 years, male, NA, stage:2, alive, 690 days
537.7
DO23533
61 years, male, NA, stage:2, alive, 900 days
534.3
DO23518
67 years, male, NA, stage:2, alive, 1320 days
534.2
DO45281
83 years, male, NA, stage:4, alive, 750 days
532.2
DO45283
60 years, male, NA, stage:3, alive, 510 days
530.2
DO23515
71 years, male, NA, stage:2, alive, 1230 days
527.6
DO45219
78 years, male, NA, stage:2, alive, 1080 days
527.3
DO45121
61 years, male, NA, stage:3, alive, 1530 days
525.3
DO23542
66 years, male, NA, stage:3, alive, 960 days
525.2
DO23543
63 years, male, NA, stage:2, alive, 1020 days
518.6
DO50815
62 years, male, NA, stage:3, alive, 150 days
516.7
DO23509
60 years, male, NA, stage:3, dead, 780 days
515.1
DO227801
77 years, female, NA, stage:1, alive, 660 days
512.0
DO45099
46 years, male, NA, stage:3, alive, 1590 days
508.8
DO50806
70 years, male, NA, stage:4, alive, 540 days
503.7
DO23519
65 years, male, NA, stage:3, alive, 630 days
500.6
DO48736
76 years, female, NA, stage:1, alive, 600 days
496.1
DO23528
45 years, female, NA, stage:2, alive, 1020 days
492.5
DO45187
32 years, female, NA, stage:1, alive, 1260 days
491.1
DO45153
77 years, female, NA, stage:2, alive, 1380 days
489.1
DO45103
47 years, male, NA, stage:3, alive, 450 days
487.4
DO45117
73 years, female, NA, stage:2, dead, 1110 days
485.2
DO50809
56 years, male, NA, stage:3, dead, 720 days
483.4
DO45131
53 years, male, NA, stage:4, dead, 360 days
482.0
DO23549
74 years, male, NA, stage:3, alive, 990 days
477.9
DO45193
68 years, female, NA, stage:4, dead, 120 days
474.3
DO50855
47 years, male, NA, stage:2, alive, 570 days
470.5
DO23545
67 years, male, NA, stage:2, dead, 570 days
469.0
DO48733
72 years, male, NA, stage:2, alive, 600 days
468.2
DO45243
74 years, female, NA, stage:3, alive, 930 days
459.3
DO45127
73 years, male, NA, stage:3, dead, 420 days
458.8
DO45241
49 years, male, NA, stage:1, alive, 1080 days
455.1
DO45149
70 years, female, NA, stage:2, alive, 1260 days
454.3
DO45211
76 years, male, NA, stage:3, alive, 240 days
452.6
DO48759
73 years, male, NA, stage:3, alive, 720 days
452.4
DO23510
80 years, female, NA, stage:2, alive, 870 days
451.2
DO50818
65 years, male, NA, stage:2, alive, 510 days
449.8
DO50825
70 years, male, NA, stage:2, alive, 390 days
439.7
DO48751
68 years, male, NA, stage:2, dead, 480 days
438.1
DO50817
75 years, male, NA, stage:2, alive, 390 days
437.1
DO45123
78 years, female, NA, stage:2, dead, 570 days
436.3
DO50845
72 years, male, NA, stage:3, alive, 210 days
434.9
DO23552
80 years, female, NA, stage:1, alive, 810 days
434.7
DO23527
72 years, male, NA, stage:1, alive, 1050 days
434.0
DO50776
75 years, male, NA, stage:1, alive, 690 days
429.8
DO45227
57 years, female, NA, stage:2, alive, 1020 days
428.5
DO45165
75 years, male, NA, stage:2, alive, 690 days
425.2
DO45173
63 years, male, NA, stage:3, alive, 1170 days
424.6
DO45189
85 years, female, NA, stage:2, alive, 1200 days
423.7
DO45133
64 years, male, NA, stage:3, dead, 660 days
423.7
DO48679
72 years, male, NA, stage:2, alive, 1200 days
421.7
DO45179
78 years, female, NA, stage:2, alive, 600 days
421.2
DO50802
49 years, male, NA, stage:2, alive, 930 days
416.8
DO48677
58 years, male, NA, stage:3, alive, 1140 days
415.2
DO45183
72 years, female, NA, stage:2, dead, 570 days
411.5
DO50832
73 years, male, NA, stage:3, alive, 90 days
411.3
DO23546
63 years, male, NA, stage:2, alive, 1050 days
411.2
DO50840
49 years, male, NA, stage:2, alive, 330 days
409.8
DO50857
72 years, male, NA, stage:2, alive, 210 days
409.3
DO23534
60 years, male, NA, stage:2, alive, 840 days
408.1
DO45305
66 years, male, NA, stage:4, alive, 300 days
407.4
DO45285
59 years, male, NA, stage:3, alive, 480 days
405.2
DO50785
37 years, male, NA, stage:4, dead, 90 days
400.7
DO45297
61 years, female, NA, stage:4, dead, 1260 days
399.8
DO45231
84 years, male, NA, stage:2, alive, 930 days
398.3
DO45141
73 years, male, NA, stage:2, alive, 1320 days
395.5
DO50822
66 years, male, NA, stage:2, alive, 510 days
392.8
DO45203
71 years, female, NA, stage:2, alive, 1170 days
392.1
DO45137
38 years, male, NA, stage:1, alive, 1320 days
389.3
DO45125
58 years, male, NA, stage:3, alive, 1680 days
385.5
DO23536
56 years, male, NA, stage:2, alive, 930 days
383.2
DO45217
69 years, female, NA, stage:3, dead, 270 days
383.1
DO23530
53 years, male, NA, stage:4, dead, 180 days
382.9
DO48716
71 years, male, NA, stage:2, alive, 720 days
382.8
DO48743
69 years, female, NA, stage:2, alive, 570 days
381.5
DO50859
77 years, male, NA, stage:2, alive, 180 days
378.9
DO45113
58 years, male, NA, stage:3, alive, 1560 days
378.9
DO48682
72 years, female, NA, stage:3, dead, 120 days
378.5
DO45129
61 years, male, NA, stage:3, alive, 1470 days
377.9
DO45221
75 years, female, NA, stage:4, dead, 390 days
376.8
DO45245
75 years, female, NA, stage:2, dead, 240 days
375.7
DO48725
66 years, male, NA, stage:1, alive, 780 days
369.4
DO45289
78 years, female, NA, stage:3, alive, 360 days
367.7
DO50778
60 years, male, NA, stage:4, alive, 630 days
367.0
DO45255
81 years, male, NA, stage:3, alive, 720 days
366.5
DO48712
50 years, male, NA, stage:2, alive, 810 days
366.3
DO45303
62 years, female, NA, stage:3, alive, 990 days
365.5
DO50793
76 years, male, NA, stage:4, alive, 540 days
363.7
DO45105
61 years, male, NA, stage:1, alive, 1680 days
363.7
DO45265
73 years, male, NA, stage:3, alive, 1020 days
362.5
DO45207
68 years, male, NA, stage:1, alive, 1050 days
362.1
DO23512
60 years, male, NA, stage:1, alive, 1260 days
361.1
DO45269
59 years, male, NA, stage:3, alive, 750 days
358.8
DO48681
57 years, male, NA, stage:2, alive, 900 days
357.6
DO48720
62 years, female, NA, stage:2, alive, 570 days
357.5
DO48719
80 years, male, NA, stage:2, alive, 690 days
357.5
DO50808
68 years, male, NA, stage:2, alive, 570 days
356.6
DO23540
73 years, male, NA, stage:1, alive, 750 days
355.7
DO45157
62 years, male, NA, stage:2, alive, 1980 days
352.7
DO45135
77 years, male, NA, stage:1, alive, 1410 days
350.2
DO45239
42 years, male, NA, stage:2, alive, 870 days
348.2
DO50803
62 years, female, NA, stage:1, alive, 540 days
343.6
DO50820
77 years, female, NA, stage:3, alive, 510 days
343.6
DO23535
67 years, male, NA, stage:1, alive, 960 days
342.4
DO50813
56 years, male, NA, stage:2, alive, 420 days
340.3
DO23547
74 years, male, NA, stage:1, alive, 1020 days
337.6
DO50787
63 years, male, NA, stage:3, alive, 480 days
337.1
DO48728
74 years, female, NA, stage:2, alive, 150 days
337.1
DO23511
83 years, female, NA, stage:3, dead, 180 days
335.6
DO23523
52 years, male, NA, stage:3, alive, 1080 days
335.0
DO45096
69 years, male, NA, stage:2, dead, 1290 days
334.1
DO50816
63 years, male, NA, stage:2, alive, 390 days
328.0
DO45143
69 years, male, NA, stage:3, alive, 1290 days
322.3
DO45161
74 years, male, NA, stage:2, dead, 540 days
321.3
DO50804
81 years, male, NA, stage:2, alive, 720 days
318.5
DO50789
73 years, female, NA, stage:2, alive, 570 days
316.3
DO45169
74 years, male, NA, stage:3, alive, 1350 days
316.1
DO50819
72 years, female, NA, stage:2, alive, 510 days
314.4
DO45175
74 years, male, NA, stage:2, alive, 1140 days
312.1
DO45177
81 years, female, NA, stage:3, alive, 1260 days
310.4
DO45107
63 years, female, NA, stage:2, alive, 1710 days
310.0
DO45197
51 years, male, NA, stage:2, alive, 1170 days
309.8
DO50774
68 years, female, NA, stage:2, alive, 720 days
309.8
DO227643
79 years, male, NA, stage:2, alive, 1260 days
308.2
DO45201
49 years, male, NA, stage:1, alive, 900 days
305.8
DO48715
58 years, female, NA, stage:2, dead, 690 days
305.0
DO48693
71 years, male, NA, stage:2, alive, 900 days
298.9
DO45091
56 years, male, NA, stage:2, dead, 1320 days
296.7
DO50807
67 years, male, NA, stage:1, alive, 540 days
283.5
DO45094
76 years, male, NA, stage:3, alive, 1650 days
282.5
DO48757
68 years, female, NA, stage:3, alive, 480 days
280.8
DO48730
73 years, female, NA, stage:2, alive, 630 days
279.3
DO48721
58 years, female, NA, stage:1, alive, 900 days
278.5
DO45247
31 years, female, NA, stage:2, alive, 210 days
269.1
DO23532
71 years, female, NA, stage:1, alive, 960 days
267.5
DO45093
71 years, male, NA, stage:2, dead, 720 days
244.3
DO45109
63 years, male, NA, stage:2, alive, 1590 days
237.9
DO45229
74 years, male, NA, stage:1, alive, 990 days
234.7
DO45223
67 years, male, NA, stage:4, alive, 1020 days
230.7
DO45191
61 years, female, NA, stage:2, alive, 1200 days
220.4
DO48761
55 years, male, NA, stage:2, alive, 870 days
216.4
DO48727
81 years, female, NA, stage:2, dead, 390 days
211.5
DO45215
65 years, male, NA, stage:2, alive, 1170 days
207.8
DO48742
76 years, male, NA, stage:2, alive, 600 days
202.0
DO45181
84 years, female, NA, stage:2, alive, 1200 days
201.7
DO45101
63 years, male, NA, stage:2, alive, 1680 days
198.0
DO45167
67 years, male, NA, stage:2, dead, 1440 days
194.5
DO45233
83 years, male, NA, stage:3, alive, 900 days
193.9
DO23544
67 years, male, NA, stage:2, alive, 960 days
193.2
DO23538
67 years, male, NA, stage:2, alive, 450 days
191.0
DO45111
74 years, male, NA, stage:2, alive, 1590 days
188.1
DO23550
69 years, male, NA, stage:1, alive, 990 days
181.6
DO48760
70 years, female, NA, stage:2, alive, 690 days
180.2
DO45195
62 years, male, NA, stage:1, alive, 390 days
179.8
DO48674
80 years, male, NA, stage:2, alive, 1260 days
164.9
DO23551
73 years, male, NA, stage:3, dead, 150 days
161.2
DO23531
78 years, female, NA, stage:3, alive, 900 days
156.6
DO23517
62 years, male, NA, stage:2, alive, 1200 days
131.7
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
436
Normal
0.6
432
Normal
0.6
723
Tumor
0.5
456
Normal
0.5
824
Normal
0.5
414
Normal
0.5
314
Normal
0.5
698
Normal
0.4
298
Normal
0.4
738
Normal
0.4
818
Normal
0.4
742
Normal
0.4
327
Tumor
0.4
278
Normal
0.4
514
Normal
0.4
666
Normal
0.4
1026
Normal
0.4
714
Normal
0.4
428
Normal
0.3
128
Normal
0.3
148
Normal
0.3
618
Normal
0.3
616
Normal
0.3
416
Normal
0.3
534
Normal
0.3
858
Normal
0.3
424
Normal
0.3
926
Normal
0.3
482
Normal
0.3
756
Normal
0.3
426
Normal
0.3
353
Tumor
0.3
564
Normal
0.3
914
Normal
0.3
777
Tumor
0.3
114
Normal
0.3
132
Normal
0.3
728
Normal
0.3
952
Normal
0.3
912
Normal
0.3
944
Normal
0.3
864
Normal
0.3
422
Normal
0.3
186
Normal
0.3
978
Normal
0.3
513
Tumor
0.3
232
Normal
0.3
196
Normal
0.3
354
Normal
0.3
332
Normal
0.3
188
Normal
0.3
1022
Normal
0.3
111
Normal
0.3
955
Tumor
0.3
964
Normal
0.3
222
Normal
0.3
126
Normal
0.3
218
Normal
0.3
648
Normal
0.3
272
Normal
0.3
258
Normal
0.3
362
Normal
0.3
568
Normal
0.3
262
Normal
0.3
662
Normal
0.3
172
Normal
0.3
574
Normal
0.3
446
Normal
0.3
466
Normal
0.3
286
Normal
0.3
342
Normal
0.3
388
Normal
0.3
356
Normal
0.3
452
Normal
0.3
376
Normal
0.3
615
Tumor
0.3
1046
Normal
0.3
394
Normal
0.3
786
Normal
0.2
434
Normal
0.2
868
Normal
0.2
862
Normal
0.2
866
Normal
0.2
716
Normal
0.2
1042
Normal
0.2
423
Tumor
0.2
162
Normal
0.2
464
Normal
0.2
364
Normal
0.2
966
Normal
0.2
882
Normal
0.2
412
Normal
0.2
546
Normal
0.2
628
Normal
0.2
386
Normal
0.2
228
Normal
0.2
136
Normal
0.2
448
Normal
0.2
642
Normal
0.2
663
Tumor
0.2
1044
Normal
0.2
472
Normal
0.2
1016
Normal
0.2
664
Normal
0.2
468
Normal
0.2
884
Normal
0.2
558
Normal
0.2
328
Normal
0.2
918
Normal
0.2
313
Tumor
0.2
554
Normal
0.2
528
Normal
0.2
462
Normal
0.2
358
Normal
0.2
627
Tumor
0.2
982
Normal
0.2
366
Normal
0.2
312
Normal
0.2
722
Normal
0.2
746
Normal
0.2
214
Normal
0.2
958
Normal
0.2
478
Normal
0.1
956
Normal
0.1
411
Tumor
0.1
938
Normal
0.1
1014
Normal
0.1
635
Tumor
0.1
392
Normal
0.1
526
Normal
0.1
396
Normal
0.1
284
Normal
0.1
744
Normal
0.1
146
Normal
0.1
516
Normal
0.1
976
Normal
0.1
778
Normal
0.1
922
Normal
0.1
852
Normal
0.1
484
Normal
0.1
113
Tumor
0.1
878
Normal
0.1
617
Tumor
0.1
741
Tumor
0.1
572
Normal
0.1
636
Normal
0.1
444
Normal
0.1
138
Normal
0.1
217
Tumor
0.1
724
Normal
0.1
863
Tumor
0.1
147
Tumor
0.1
142
Normal
0.1
124
Normal
0.1
874
Normal
0.1
1032
Normal
0.1
755
Tumor
0.1
867
Tumor
0.1
968
Normal
0.1
344
Normal
0.1
488
Normal
0.1
494
Normal
0.1
573
Tumor
0.1
727
Tumor
0.1
212
Normal
0.1
924
Normal
0.1
224
Normal
0.1
1015
Tumor
0.0
431
Tumor
0.0
352
Normal
0.0
957
Tumor
0.0
223
Tumor
0.0
981
Tumor
0.0
954
Normal
0.0
672
Normal
0.0
696
Normal
0.0
518
Normal
0.0
953
Tumor
0.0
127
Tumor
0.0
816
Normal
0.0
461
Tumor
0.0
384
Normal
0.0
445
Tumor
0.0
1028
Normal
0.0
268
Normal
0.0
686
Normal
0.0
415
Tumor
0.0
745
Tumor
0.0
192
Normal
0.0
515
Tumor
0.0
368
Normal
0.0
474
Normal
0.0
721
Tumor
0.0
277
Tumor
0.0
984
Normal
0.0
1013
Tumor
0.0
538
Normal
0.0
451
Tumor
0.0
925
Tumor
0.0
261
Tumor
0.0
873
Tumor
0.0
311
Tumor
-0.1
524
Normal
-0.1
481
Tumor
-0.1
1045
Tumor
-0.1
195
Tumor
-0.1
1027
Tumor
-0.1
861
Tumor
-0.1
467
Tumor
-0.1
387
Tumor
-0.1
435
Tumor
-0.1
365
Tumor
-0.1
477
Tumor
-0.1
533
Tumor
-0.1
857
Tumor
-0.1
563
Tumor
-0.1
695
Tumor
-0.1
665
Tumor
-0.1
161
Tumor
-0.1
413
Tumor
-0.1
227
Tumor
-0.1
737
Tumor
-0.1
145
Tumor
-0.1
443
Tumor
-0.1
112
Tumor
-0.1
851
Tumor
-0.1
361
Tumor
-0.1
187
Tumor
-0.1
355
Tumor
-0.1
525
Tumor
-0.1
913
Tumor
-0.1
455
Tumor
-0.2
185
Tumor
-0.2
536
Normal
-0.2
141
Tumor
-0.2
661
Tumor
-0.2
433
Tumor
-0.2
1043
Tumor
-0.2
257
Tumor
-0.2
363
Tumor
-0.2
131
Tumor
-0.2
1021
Tumor
-0.2
393
Tumor
-0.2
814
Normal
-0.2
715
Tumor
-0.2
647
Tumor
-0.2
553
Tumor
-0.2
123
Tumor
-0.2
498
Normal
-0.2
213
Tumor
-0.2
191
Tumor
-0.2
865
Tumor
-0.2
911
Tumor
-0.2
977
Tumor
-0.2
785
Tumor
-0.2
427
Tumor
-0.2
492
Normal
-0.2
916
Normal
-0.2
557
Tumor
-0.2
1031
Tumor
-0.2
135
Tumor
-0.2
567
Tumor
-0.2
421
Tumor
-0.2
341
Tumor
-0.2
383
Tumor
-0.2
271
Tumor
-0.2
125
Tumor
-0.3
465
Tumor
-0.3
523
Tumor
-0.3
1025
Tumor
-0.3
137
Tumor
-0.3
537
Tumor
-0.3
823
Tumor
-0.3
571
Tumor
-0.3
915
Tumor
-0.3
267
Tumor
-0.3
221
Tumor
-0.3
385
Tumor
-0.3
951
Tumor
-0.3
917
Tumor
-0.3
923
Tumor
-0.3
351
Tumor
-0.3
357
Tumor
-0.3
447
Tumor
-0.3
713
Tumor
-0.3
493
Tumor
-0.3
425
Tumor
-0.3
487
Tumor
-0.3
527
Tumor
-0.3
391
Tumor
-0.3
517
Tumor
-0.3
963
Tumor
-0.3
375
Tumor
-0.3
641
Tumor
-0.4
171
Tumor
-0.4
813
Tumor
-0.4
471
Tumor
-0.4
483
Tumor
-0.4
671
Tumor
-0.4
211
Tumor
-0.4
395
Tumor
-0.4
881
Tumor
-0.4
883
Tumor
-0.4
817
Tumor
-0.4
943
Tumor
-0.4
967
Tumor
-0.4
975
Tumor
-0.4
815
Tumor
-0.4
343
Tumor
-0.4
535
Tumor
-0.4
685
Tumor
-0.4
697
Tumor
-0.4
463
Tumor
-0.4
1041
Tumor
-0.4
743
Tumor
-0.4
983
Tumor
-0.5
231
Tumor
-0.5
297
Tumor
-0.5
285
Tumor
-0.5
491
Tumor
-0.5
497
Tumor
-0.5
331
Tumor
-0.5
937
Tumor
-0.5
283
Tumor
-0.5
877
Tumor
-0.5
367
Tumor
-0.5
921
Tumor
-0.5
473
Tumor
-0.5
965
Tumor
-0.6
545
Tumor
-0.7
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.