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.
GPX4 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.
: 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.
0.00015
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.
30%
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
592.4
Number of samples
362
Samples
Sample
Description
TPM
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
1537.9
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
1511.4
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
1373.9
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
1346.5
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
1288.5
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
1226.7
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
1196.4
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
1163.4
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
1152.6
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
1120.0
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
1071.9
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
1057.3
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
1056.5
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
1052.6
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
1046.2
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
1037.1
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
1035.1
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1034.4
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1029.5
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
1026.0
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
1018.9
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
1004.5
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
1002.1
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
983.6
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
982.1
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
981.1
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
976.9
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
975.0
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
974.5
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
956.0
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
953.4
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
945.3
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
935.1
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
933.2
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
930.2
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
924.9
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
924.0
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
896.7
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
896.6
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
882.7
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
881.3
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
881.1
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
880.2
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
878.0
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
878.0
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
877.6
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
877.3
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
869.5
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
858.1
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
843.0
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
835.1
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
821.7
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
819.6
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
816.7
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
814.6
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
811.5
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
798.7
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
798.5
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
795.8
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
794.4
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
789.1
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
789.0
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
782.5
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
780.5
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
779.6
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
770.8
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
770.0
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
769.5
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
767.1
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
766.7
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
766.6
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
765.1
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
759.5
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
759.3
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
756.0
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
754.4
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
750.1
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
750.0
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
747.7
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
745.3
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
737.6
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
734.1
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
733.3
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
731.9
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
730.8
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
729.0
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
728.9
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
728.6
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
726.7
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
726.0
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
722.1
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
718.7
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
717.9
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
717.6
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
716.6
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
714.8
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
713.3
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
713.3
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
713.0
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
704.5
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
697.7
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
697.4
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
696.9
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
691.8
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
689.0
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
688.9
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
687.8
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
681.1
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
678.0
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
673.5
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
673.3
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
669.7
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
668.8
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
666.2
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
665.3
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
665.0
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
664.0
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
663.1
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
662.9
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
660.4
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
658.2
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
658.1
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
657.1
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
656.9
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
654.9
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
652.6
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
650.7
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
642.0
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
639.7
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
637.8
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
631.5
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
629.7
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
627.2
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
627.1
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
622.9
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
619.6
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
617.0
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
616.8
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
612.2
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
612.0
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
608.1
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
607.0
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
606.5
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
606.1
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
605.2
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
604.9
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
601.3
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
600.2
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
599.8
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
597.6
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
597.6
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
596.4
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
592.8
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
591.0
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
590.3
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
589.6
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
582.7
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
580.6
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
579.6
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
579.0
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
578.8
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
574.9
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
574.3
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
574.3
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
572.8
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
572.5
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
569.9
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
569.9
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
569.6
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
568.6
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
568.1
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
565.3
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
560.9
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
560.6
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
559.4
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
559.3
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
558.7
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
558.5
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
556.1
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
555.5
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
553.0
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
549.4
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
548.5
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
547.2
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
547.1
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
547.0
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
546.3
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
543.0
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
541.7
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
540.6
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
539.9
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
533.5
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
533.1
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
531.6
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
531.0
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
524.1
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
523.5
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
521.5
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
521.1
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
520.7
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
520.1
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
519.5
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
518.3
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
516.1
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
515.2
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
512.2
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
511.7
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
508.9
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
508.0
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
507.5
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
505.3
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
504.2
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
503.7
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
498.6
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
498.0
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
496.7
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
496.6
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
496.2
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
493.5
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
491.8
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
488.5
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
488.1
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
486.2
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
484.9
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
483.2
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
482.9
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
482.7
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
482.0
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
479.3
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
478.4
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
477.9
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
477.6
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
474.1
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
473.9
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
473.3
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
472.1
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
471.9
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
471.4
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
470.0
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
467.7
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
466.6
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
465.0
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
463.0
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
461.7
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
460.8
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
460.4
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
458.2
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
454.0
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
449.7
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
449.3
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
446.8
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
444.7
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
442.2
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
441.8
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
440.1
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
439.6
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
437.7
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
437.2
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
434.7
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
434.6
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
433.0
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
431.1
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
429.2
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
428.5
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
428.4
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
428.2
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
427.1
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
426.9
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
426.2
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
423.4
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
422.6
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
421.5
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
420.9
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
420.2
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
420.0
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
413.5
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
413.4
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
412.4
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
410.1
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
408.5
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
408.0
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
408.0
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
406.3
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
404.0
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
403.1
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
402.0
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
402.0
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
400.0
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
397.7
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
397.0
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
395.3
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
393.8
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
393.1
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
392.2
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
391.2
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
388.2
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
387.3
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
387.0
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
386.4
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
385.9
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
377.7
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
377.3
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
375.8
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
374.8
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
374.3
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
373.4
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
372.8
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
370.7
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
369.6
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
369.6
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
369.5
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
368.8
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
368.7
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
367.6
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
367.4
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
367.1
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
360.2
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
360.0
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
357.9
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
356.9
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
354.4
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
353.1
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
352.1
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
350.7
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
350.3
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
349.3
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
346.0
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
345.9
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
344.0
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
341.9
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
340.4
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
339.6
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
338.7
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
335.9
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
333.2
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
330.3
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
329.3
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
327.2
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
318.4
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
313.7
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
309.6
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
303.6
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
302.3
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
301.1
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
298.0
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
293.1
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
288.7
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
287.2
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
284.9
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
284.0
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
280.3
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
275.6
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
275.4
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
274.9
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
266.8
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
266.7
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
262.2
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
235.7
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
229.1
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
227.2
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
210.5
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 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.
GPX4 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.
: 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.
0.057
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.
0%
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.
63%
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
349.3
Number of samples
231
Samples
Sample
Description
TPM
DO23511
83 years, female, NA, stage:3, dead, 180 days
1036.3
DO50839
47 years, female, NA, stage:3, alive, 330 days
1022.5
DO50814
83 years, male, NA, stage:3, alive, 420 days
878.4
DO48751
68 years, male, NA, stage:2, dead, 480 days
835.6
DO50806
70 years, male, NA, stage:4, alive, 540 days
801.5
DO23534
60 years, male, NA, stage:2, alive, 840 days
747.5
DO45241
49 years, male, NA, stage:1, alive, 1080 days
738.6
DO48741
64 years, male, NA, stage:3, alive, 240 days
725.0
DO45209
70 years, male, NA, stage:4, alive, 1350 days
704.9
DO48697
64 years, female, NA, stage:2, dead, 810 days
660.9
DO50809
56 years, male, NA, stage:3, dead, 720 days
648.9
DO45131
53 years, male, NA, stage:4, dead, 360 days
645.5
DO50811
62 years, male, NA, stage:1, alive, 450 days
622.8
DO48759
73 years, male, NA, stage:3, alive, 720 days
621.5
DO23532
71 years, female, NA, stage:1, alive, 960 days
617.2
DO45093
71 years, male, NA, stage:2, dead, 720 days
615.1
DO23519
65 years, male, NA, stage:3, alive, 630 days
611.9
DO45305
66 years, male, NA, stage:4, alive, 300 days
607.6
DO50840
49 years, male, NA, stage:2, alive, 330 days
596.5
DO45145
78 years, male, NA, stage:3, dead, 60 days
595.6
DO45285
59 years, male, NA, stage:3, alive, 480 days
580.0
DO50802
49 years, male, NA, stage:2, alive, 930 days
579.7
DO50832
73 years, male, NA, stage:3, alive, 90 days
570.9
DO23516
69 years, male, NA, stage:3, dead, 20 days
566.0
DO23539
77 years, male, NA, stage:1, alive, 1110 days
561.6
DO45255
81 years, male, NA, stage:3, alive, 720 days
551.4
DO23535
67 years, male, NA, stage:1, alive, 960 days
550.7
DO48679
72 years, male, NA, stage:2, alive, 1200 days
548.9
DO50813
56 years, male, NA, stage:2, alive, 420 days
543.5
DO23545
67 years, male, NA, stage:2, dead, 570 days
539.4
DO45149
70 years, female, NA, stage:2, alive, 1260 days
538.8
DO50816
63 years, male, NA, stage:2, alive, 390 days
535.5
DO23513
76 years, male, NA, stage:3, alive, 1200 days
526.2
DO48737
52 years, male, NA, stage:1, alive, 720 days
526.1
DO45123
78 years, female, NA, stage:2, dead, 570 days
514.4
DO23523
52 years, male, NA, stage:3, alive, 1080 days
514.3
DO50783
62 years, male, NA, stage:3, alive, 480 days
511.4
DO45299
70 years, female, NA, stage:1, alive, 1440 days
507.5
DO48693
71 years, male, NA, stage:2, alive, 900 days
505.7
DO50776
75 years, male, NA, stage:1, alive, 690 days
499.0
DO45289
78 years, female, NA, stage:3, alive, 360 days
497.5
DO45129
61 years, male, NA, stage:3, alive, 1470 days
494.4
DO23533
61 years, male, NA, stage:2, alive, 900 days
493.1
DO23547
74 years, male, NA, stage:1, alive, 1020 days
492.9
DO50778
60 years, male, NA, stage:4, alive, 630 days
492.5
DO45171
56 years, male, NA, stage:3, alive, 600 days
486.8
DO48721
58 years, female, NA, stage:1, alive, 900 days
486.6
DO50793
76 years, male, NA, stage:4, alive, 540 days
486.4
DO48682
72 years, female, NA, stage:3, dead, 120 days
483.8
DO45217
69 years, female, NA, stage:3, dead, 270 days
480.4
DO50804
81 years, male, NA, stage:2, alive, 720 days
479.0
DO45095
66 years, male, NA, stage:2, alive, 1620 days
471.9
DO23540
73 years, male, NA, stage:1, alive, 750 days
469.1
DO48704
68 years, female, NA, stage:3, alive, 750 days
466.8
DO50791
79 years, female, NA, stage:1, dead, 480 days
452.8
DO45109
63 years, male, NA, stage:2, alive, 1590 days
452.0
DO45101
63 years, male, NA, stage:2, alive, 1680 days
450.9
DO48727
81 years, female, NA, stage:2, dead, 390 days
441.8
DO45115
81 years, male, NA, stage:2, alive, 840 days
439.9
DO45119
74 years, male, NA, stage:3, dead, 510 days
439.5
DO48701
78 years, male, NA, stage:2, alive, 780 days
437.7
DO23508
79 years, female, NA, stage:2, alive, 390 days
433.8
DO48747
62 years, male, NA, stage:3, alive, 540 days
432.9
DO23525
71 years, male, NA, stage:4, alive, 1050 days
432.0
DO50859
77 years, male, NA, stage:2, alive, 180 days
431.5
DO50799
66 years, female, NA, stage:2, alive, 540 days
428.0
DO50817
75 years, male, NA, stage:2, alive, 390 days
420.9
DO50825
70 years, male, NA, stage:2, alive, 390 days
412.4
DO48674
80 years, male, NA, stage:2, alive, 1260 days
407.3
DO23546
63 years, male, NA, stage:2, alive, 1050 days
406.1
DO23515
71 years, male, NA, stage:2, alive, 1230 days
404.2
DO45103
47 years, male, NA, stage:3, alive, 450 days
400.7
DO50857
72 years, male, NA, stage:2, alive, 210 days
398.4
DO45105
61 years, male, NA, stage:1, alive, 1680 days
397.2
DO45221
75 years, female, NA, stage:4, dead, 390 days
387.3
DO45303
62 years, female, NA, stage:3, alive, 990 days
378.0
DO50818
65 years, male, NA, stage:2, alive, 510 days
377.9
DO23512
60 years, male, NA, stage:1, alive, 1260 days
375.5
DO48732
73 years, male, NA, stage:3, alive, 630 days
370.2
DO50808
68 years, male, NA, stage:2, alive, 570 days
368.0
DO45125
58 years, male, NA, stage:3, alive, 1680 days
367.8
DO50785
37 years, male, NA, stage:4, dead, 90 days
365.2
DO45107
63 years, female, NA, stage:2, alive, 1710 days
364.6
DO48715
58 years, female, NA, stage:2, dead, 690 days
362.8
DO50822
66 years, male, NA, stage:2, alive, 510 days
360.7
DO48717
54 years, male, NA, stage:4, dead, 180 days
356.2
DO50805
72 years, male, NA, stage:2, alive, 690 days
355.9
DO45261
74 years, male, NA, stage:3, alive, 990 days
355.2
DO48695
77 years, male, NA, stage:2, alive, 720 days
349.9
DO48716
71 years, male, NA, stage:2, alive, 720 days
349.2
DO23548
78 years, female, NA, stage:1, alive, 840 days
346.6
DO45201
49 years, male, NA, stage:1, alive, 900 days
346.3
DO45249
57 years, male, NA, stage:1, alive, 630 days
344.2
DO45227
57 years, female, NA, stage:2, alive, 1020 days
340.9
DO45273
62 years, male, NA, stage:2, alive, 480 days
340.9
DO48723
73 years, male, NA, stage:1, alive, 600 days
340.2
DO45169
74 years, male, NA, stage:3, alive, 1350 days
339.5
DO45135
77 years, male, NA, stage:1, alive, 1410 days
339.3
DO45167
67 years, male, NA, stage:2, dead, 1440 days
336.7
DO48719
80 years, male, NA, stage:2, alive, 690 days
336.4
DO45301
56 years, male, NA, stage:2, dead, 1440 days
334.9
DO45091
56 years, male, NA, stage:2, dead, 1320 days
332.5
DO50819
72 years, female, NA, stage:2, alive, 510 days
330.9
DO45269
59 years, male, NA, stage:3, alive, 750 days
330.7
DO48746
76 years, male, NA, stage:3, alive, 570 days
330.5
DO50845
72 years, male, NA, stage:3, alive, 210 days
330.1
DO23541
65 years, male, NA, stage:2, alive, 930 days
328.7
DO45297
61 years, female, NA, stage:4, dead, 1260 days
325.3
DO23517
62 years, male, NA, stage:2, alive, 1200 days
324.7
DO45153
77 years, female, NA, stage:2, alive, 1380 days
324.4
DO50774
68 years, female, NA, stage:2, alive, 720 days
322.3
DO45097
69 years, male, NA, stage:3, alive, 1620 days
319.4
DO50855
47 years, male, NA, stage:2, alive, 570 days
317.7
DO45092
62 years, male, NA, stage:4, dead, 1200 days
316.6
DO23543
63 years, male, NA, stage:2, alive, 1020 days
315.0
DO45163
76 years, male, NA, stage:2, alive, 960 days
311.4
DO45111
74 years, male, NA, stage:2, alive, 1590 days
310.6
DO23536
56 years, male, NA, stage:2, alive, 930 days
307.2
DO45215
65 years, male, NA, stage:2, alive, 1170 days
306.4
DO50850
74 years, male, NA, stage:3, alive, 720 days
304.9
DO23510
80 years, female, NA, stage:2, alive, 870 days
303.9
DO45117
73 years, female, NA, stage:2, dead, 1110 days
303.3
DO45287
74 years, male, NA, stage:1, alive, 390 days
302.4
DO48706
72 years, male, NA, stage:2, alive, 870 days
300.0
DO23542
66 years, male, NA, stage:3, alive, 960 days
299.3
DO45205
67 years, female, NA, stage:2, dead, 90 days
299.0
DO45143
69 years, male, NA, stage:3, alive, 1290 days
298.2
DO45275
65 years, male, NA, stage:3, dead, 10 days
297.1
DO23521
63 years, male, NA, stage:3, alive, 1110 days
296.5
DO48733
72 years, male, NA, stage:2, alive, 600 days
295.3
DO23528
45 years, female, NA, stage:2, alive, 1020 days
293.8
DO45199
86 years, female, NA, stage:2, alive, 1350 days
293.2
DO48700
78 years, female, NA, stage:2, alive, 810 days
292.2
DO48730
73 years, female, NA, stage:2, alive, 630 days
291.0
DO45203
71 years, female, NA, stage:2, alive, 1170 days
289.6
DO48672
81 years, male, NA, stage:2, alive, 450 days
288.4
DO45099
46 years, male, NA, stage:3, alive, 1590 days
287.5
DO45141
73 years, male, NA, stage:2, alive, 1320 days
285.9
DO45094
76 years, male, NA, stage:3, alive, 1650 days
283.4
DO45175
74 years, male, NA, stage:2, alive, 1140 days
282.5
DO48720
62 years, female, NA, stage:2, alive, 570 days
281.6
DO227643
79 years, male, NA, stage:2, alive, 1260 days
281.5
DO48712
50 years, male, NA, stage:2, alive, 810 days
279.9
DO45161
74 years, male, NA, stage:2, dead, 540 days
278.0
DO45127
73 years, male, NA, stage:3, dead, 420 days
276.7
DO45263
67 years, male, NA, stage:3, dead, 270 days
276.0
DO45159
65 years, male, NA, stage:3, alive, 1470 days
276.0
DO50787
63 years, male, NA, stage:3, alive, 480 days
276.0
DO50829
78 years, male, NA, stage:3, alive, 570 days
275.5
DO23524
71 years, female, NA, stage:2, alive, 1050 days
272.0
DO23549
74 years, male, NA, stage:3, alive, 990 days
271.6
DO45229
74 years, male, NA, stage:1, alive, 990 days
271.1
DO45259
65 years, male, NA, stage:3, alive, 330 days
270.3
DO23529
72 years, male, NA, stage:4, alive, 930 days
267.0
DO48677
58 years, male, NA, stage:3, alive, 1140 days
267.0
DO227801
77 years, female, NA, stage:1, alive, 660 days
266.9
DO45139
63 years, male, NA, stage:3, alive, 1320 days
266.1
DO48760
70 years, female, NA, stage:2, alive, 690 days
265.3
DO45121
61 years, male, NA, stage:3, alive, 1530 days
265.2
DO45267
73 years, male, NA, stage:3, dead, 570 days
263.2
DO23537
79 years, male, NA, stage:2, dead, 900 days
253.4
DO45133
64 years, male, NA, stage:3, dead, 660 days
252.6
DO45251
57 years, female, NA, stage:2, alive, 900 days
252.3
DO23544
67 years, male, NA, stage:2, alive, 960 days
246.6
DO45177
81 years, female, NA, stage:3, alive, 1260 days
245.4
DO48736
76 years, female, NA, stage:1, alive, 600 days
243.7
DO50800
74 years, male, NA, stage:2, alive, 510 days
241.8
DO50807
67 years, male, NA, stage:1, alive, 540 days
240.6
DO50803
62 years, female, NA, stage:1, alive, 540 days
237.8
DO45223
67 years, male, NA, stage:4, alive, 1020 days
237.5
DO45165
75 years, male, NA, stage:2, alive, 690 days
237.0
DO45307
54 years, female, NA, stage:4, dead, 240 days
232.5
DO45283
60 years, male, NA, stage:3, alive, 510 days
232.3
DO45187
32 years, female, NA, stage:1, alive, 1260 days
229.5
DO45197
51 years, male, NA, stage:2, alive, 1170 days
228.9
DO45207
68 years, male, NA, stage:1, alive, 1050 days
227.8
DO45155
69 years, male, NA, stage:2, alive, 2160 days
223.9
DO23526
66 years, male, NA, stage:3, alive, 1050 days
220.6
DO45213
58 years, male, NA, stage:1, alive, 1200 days
218.0
DO45281
83 years, male, NA, stage:4, alive, 750 days
213.3
DO45179
78 years, female, NA, stage:2, alive, 600 days
210.8
DO48742
76 years, male, NA, stage:2, alive, 600 days
205.8
DO23551
73 years, male, NA, stage:3, dead, 150 days
202.5
DO45173
63 years, male, NA, stage:3, alive, 1170 days
200.7
DO45277
64 years, male, NA, stage:3, alive, 600 days
198.2
DO45096
69 years, male, NA, stage:2, dead, 1290 days
198.1
DO45237
58 years, male, NA, stage:2, alive, 900 days
197.9
DO48757
68 years, female, NA, stage:3, alive, 480 days
195.7
DO45183
72 years, female, NA, stage:2, dead, 570 days
193.8
DO45157
62 years, male, NA, stage:2, alive, 1980 days
192.2
DO48725
66 years, male, NA, stage:1, alive, 780 days
191.5
DO23514
64 years, male, NA, stage:2, alive, 1290 days
191.0
DO23530
53 years, male, NA, stage:4, dead, 180 days
190.2
DO23509
60 years, male, NA, stage:3, dead, 780 days
189.9
DO45257
46 years, male, NA, stage:3, alive, 810 days
186.5
DO23538
67 years, male, NA, stage:2, alive, 450 days
186.2
DO50815
62 years, male, NA, stage:3, alive, 150 days
183.4
DO23531
78 years, female, NA, stage:3, alive, 900 days
182.3
DO45195
62 years, male, NA, stage:1, alive, 390 days
182.2
DO45225
69 years, male, NA, stage:1, alive, 1050 days
182.0
DO48728
74 years, female, NA, stage:2, alive, 150 days
181.9
DO45113
58 years, male, NA, stage:3, alive, 1560 days
179.2
DO45185
89 years, male, NA, stage:2, alive, 600 days
178.7
DO45211
76 years, male, NA, stage:3, alive, 240 days
177.9
DO45181
84 years, female, NA, stage:2, alive, 1200 days
177.6
DO23527
72 years, male, NA, stage:1, alive, 1050 days
176.0
DO50798
77 years, male, NA, stage:3, dead, 30 days
171.1
DO45137
38 years, male, NA, stage:1, alive, 1320 days
170.5
DO48761
55 years, male, NA, stage:2, alive, 870 days
167.8
DO45235
68 years, female, NA, stage:1, alive, 900 days
164.1
DO45219
78 years, male, NA, stage:2, alive, 1080 days
163.9
DO45191
61 years, female, NA, stage:2, alive, 1200 days
162.1
DO45253
50 years, male, NA, stage:2, alive, 870 days
157.9
DO23552
80 years, female, NA, stage:1, alive, 810 days
157.7
DO45233
83 years, male, NA, stage:3, alive, 900 days
154.6
DO48743
69 years, female, NA, stage:2, alive, 570 days
154.5
DO45239
42 years, male, NA, stage:2, alive, 870 days
154.2
DO23518
67 years, male, NA, stage:2, alive, 1320 days
152.3
DO45279
67 years, male, NA, stage:3, alive, 1290 days
148.0
DO23550
69 years, male, NA, stage:1, alive, 990 days
144.1
DO48681
57 years, male, NA, stage:2, alive, 900 days
143.6
DO50844
75 years, male, NA, stage:4, alive, 300 days
138.7
DO45243
74 years, female, NA, stage:3, alive, 930 days
137.6
DO45265
73 years, male, NA, stage:3, alive, 1020 days
133.8
DO45245
75 years, female, NA, stage:2, dead, 240 days
131.2
DO45231
84 years, male, NA, stage:2, alive, 930 days
130.4
DO45189
85 years, female, NA, stage:2, alive, 1200 days
128.9
DO50820
77 years, female, NA, stage:3, alive, 510 days
123.5
DO50789
73 years, female, NA, stage:2, alive, 570 days
118.5
DO45247
31 years, female, NA, stage:2, alive, 210 days
112.4
DO45193
68 years, female, NA, stage:4, dead, 120 days
108.0
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
743
Tumor
1.3
484
Normal
1.0
534
Normal
0.9
695
Tumor
0.9
221
Tumor
0.9
785
Tumor
0.9
1014
Normal
0.8
482
Normal
0.8
944
Normal
0.8
356
Normal
0.8
647
Tumor
0.7
466
Normal
0.7
1022
Normal
0.7
786
Normal
0.6
1032
Normal
0.6
958
Normal
0.6
954
Normal
0.6
648
Normal
0.6
465
Tumor
0.6
483
Tumor
0.6
162
Normal
0.6
742
Normal
0.6
481
Tumor
0.6
918
Normal
0.6
518
Normal
0.6
627
Tumor
0.6
546
Normal
0.6
553
Tumor
0.6
976
Normal
0.6
448
Normal
0.6
728
Normal
0.6
824
Normal
0.6
964
Normal
0.6
128
Normal
0.6
698
Normal
0.5
862
Normal
0.5
714
Normal
0.5
277
Tumor
0.5
968
Normal
0.5
696
Normal
0.5
132
Normal
0.5
926
Normal
0.5
723
Tumor
0.5
298
Normal
0.5
938
Normal
0.5
148
Normal
0.5
866
Normal
0.5
462
Normal
0.5
172
Normal
0.5
514
Normal
0.5
882
Normal
0.5
981
Tumor
0.5
616
Normal
0.5
665
Tumor
0.5
756
Normal
0.5
1016
Normal
0.4
472
Normal
0.4
342
Normal
0.4
922
Normal
0.4
1026
Normal
0.4
1045
Tumor
0.4
474
Normal
0.4
628
Normal
0.4
738
Normal
0.4
516
Normal
0.4
858
Normal
0.4
911
Tumor
0.4
874
Normal
0.4
435
Tumor
0.4
914
Normal
0.4
394
Normal
0.4
428
Normal
0.4
966
Normal
0.4
746
Normal
0.4
975
Tumor
0.4
364
Normal
0.4
258
Normal
0.4
436
Normal
0.4
222
Normal
0.4
916
Normal
0.4
114
Normal
0.3
498
Normal
0.3
278
Normal
0.3
568
Normal
0.3
196
Normal
0.3
686
Normal
0.3
136
Normal
0.3
666
Normal
0.3
1044
Normal
0.3
912
Normal
0.3
744
Normal
0.3
328
Normal
0.3
445
Tumor
0.3
424
Normal
0.3
868
Normal
0.3
228
Normal
0.3
816
Normal
0.3
852
Normal
0.3
713
Tumor
0.3
488
Normal
0.3
354
Normal
0.3
396
Normal
0.3
554
Normal
0.3
432
Normal
0.3
413
Tumor
0.3
778
Normal
0.3
344
Normal
0.3
716
Normal
0.3
924
Normal
0.3
538
Normal
0.2
618
Normal
0.2
818
Normal
0.2
412
Normal
0.2
111
Normal
0.2
426
Normal
0.2
722
Normal
0.2
727
Tumor
0.2
422
Normal
0.2
362
Normal
0.2
414
Normal
0.2
1043
Tumor
0.2
721
Tumor
0.2
268
Normal
0.2
494
Normal
0.2
984
Normal
0.2
564
Normal
0.2
864
Normal
0.2
314
Normal
0.2
1028
Normal
0.2
284
Normal
0.2
388
Normal
0.2
478
Normal
0.2
978
Normal
0.2
925
Tumor
0.2
963
Tumor
0.2
1042
Normal
0.2
188
Normal
0.2
982
Normal
0.2
286
Normal
0.2
142
Normal
0.2
526
Normal
0.2
131
Tumor
0.2
138
Normal
0.2
352
Normal
0.2
214
Normal
0.1
361
Tumor
0.1
878
Normal
0.1
456
Normal
0.1
262
Normal
0.1
642
Normal
0.1
212
Normal
0.1
267
Tumor
0.1
395
Tumor
0.1
211
Tumor
0.1
272
Normal
0.1
443
Tumor
0.1
884
Normal
0.1
881
Tumor
0.1
685
Tumor
0.1
446
Normal
0.1
358
Normal
0.1
921
Tumor
0.1
572
Normal
0.1
1025
Tumor
0.1
967
Tumor
0.1
285
Tumor
0.1
558
Normal
0.1
232
Normal
0.1
662
Normal
0.0
913
Tumor
0.0
416
Normal
0.0
937
Tumor
0.0
1031
Tumor
0.0
146
Normal
0.0
464
Normal
0.0
366
Normal
0.0
524
Normal
0.0
312
Normal
0.0
952
Normal
0.0
271
Tumor
0.0
636
Normal
0.0
857
Tumor
0.0
535
Tumor
0.0
492
Normal
0.0
415
Tumor
0.0
863
Tumor
0.0
574
Normal
0.0
135
Tumor
-0.1
365
Tumor
-0.1
376
Normal
-0.1
917
Tumor
-0.1
956
Normal
-0.1
186
Normal
-0.1
515
Tumor
-0.1
124
Normal
-0.1
1046
Normal
-0.1
823
Tumor
-0.1
741
Tumor
-0.1
664
Normal
-0.1
737
Tumor
-0.1
528
Normal
-0.1
224
Normal
-0.1
444
Normal
-0.1
545
Tumor
-0.1
471
Tumor
-0.1
815
Tumor
-0.1
615
Tumor
-0.1
125
Tumor
-0.1
195
Tumor
-0.1
525
Tumor
-0.2
873
Tumor
-0.2
223
Tumor
-0.2
697
Tumor
-0.2
434
Normal
-0.2
487
Tumor
-0.2
965
Tumor
-0.2
126
Normal
-0.2
1041
Tumor
-0.2
297
Tumor
-0.2
468
Normal
-0.2
536
Normal
-0.2
332
Normal
-0.3
127
Tumor
-0.3
523
Tumor
-0.3
447
Tumor
-0.3
477
Tumor
-0.3
955
Tumor
-0.3
672
Normal
-0.3
513
Tumor
-0.3
1015
Tumor
-0.3
327
Tumor
-0.3
915
Tumor
-0.3
392
Normal
-0.3
387
Tumor
-0.3
617
Tumor
-0.3
192
Normal
-0.3
491
Tumor
-0.3
943
Tumor
-0.4
923
Tumor
-0.4
533
Tumor
-0.4
517
Tumor
-0.4
187
Tumor
-0.4
386
Normal
-0.4
384
Normal
-0.4
393
Tumor
-0.4
461
Tumor
-0.4
635
Tumor
-0.4
452
Normal
-0.4
427
Tumor
-0.4
867
Tumor
-0.5
563
Tumor
-0.5
227
Tumor
-0.5
877
Tumor
-0.5
423
Tumor
-0.5
817
Tumor
-0.5
218
Normal
-0.5
355
Tumor
-0.5
353
Tumor
-0.5
715
Tumor
-0.5
185
Tumor
-0.5
137
Tumor
-0.5
814
Normal
-0.5
363
Tumor
-0.5
141
Tumor
-0.5
341
Tumor
-0.5
463
Tumor
-0.5
777
Tumor
-0.5
883
Tumor
-0.5
191
Tumor
-0.6
113
Tumor
-0.6
261
Tumor
-0.6
851
Tumor
-0.6
977
Tumor
-0.6
145
Tumor
-0.6
368
Normal
-0.6
957
Tumor
-0.6
641
Tumor
-0.6
425
Tumor
-0.6
147
Tumor
-0.6
724
Normal
-0.6
351
Tumor
-0.6
343
Tumor
-0.6
421
Tumor
-0.6
493
Tumor
-0.6
455
Tumor
-0.7
217
Tumor
-0.7
983
Tumor
-0.7
573
Tumor
-0.7
431
Tumor
-0.7
383
Tumor
-0.7
283
Tumor
-0.7
755
Tumor
-0.7
331
Tumor
-0.7
367
Tumor
-0.7
865
Tumor
-0.7
497
Tumor
-0.7
861
Tumor
-0.7
745
Tumor
-0.7
467
Tumor
-0.8
813
Tumor
-0.8
473
Tumor
-0.8
1013
Tumor
-0.8
433
Tumor
-0.9
411
Tumor
-0.9
527
Tumor
-0.9
661
Tumor
-1.0
257
Tumor
-1.0
213
Tumor
-1.0
311
Tumor
-1.0
231
Tumor
-1.0
1021
Tumor
-1.0
567
Tumor
-1.0
112
Tumor
-1.0
391
Tumor
-1.0
357
Tumor
-1.0
537
Tumor
-1.1
1027
Tumor
-1.1
375
Tumor
-1.2
161
Tumor
-1.2
451
Tumor
-1.2
385
Tumor
-1.2
557
Tumor
-1.2
171
Tumor
-1.3
951
Tumor
-1.3
671
Tumor
-1.4
953
Tumor
-1.4
313
Tumor
-1.5
663
Tumor
-1.5
571
Tumor
-1.6
123
Tumor
-1.7
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.