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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
UQCRQ is not prognostic in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
675.4
Number of samples
362
Samples
Sample
Description
TPM
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
2623.0
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
2487.1
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
2287.9
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
2177.8
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
2168.4
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
1973.6
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
1854.6
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
1787.5
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
1731.5
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
1699.0
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
1641.7
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
1606.5
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
1532.4
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1530.8
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
1525.3
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
1512.6
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
1500.8
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
1449.7
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
1434.9
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
1418.3
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
1395.4
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
1387.4
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
1383.8
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
1369.2
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
1296.1
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1283.8
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
1281.6
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
1275.1
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
1271.0
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
1264.2
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
1257.2
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
1202.9
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
1191.6
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
1187.0
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
1172.4
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
1166.9
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
1166.9
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
1166.6
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
1158.4
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
1141.9
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
1136.9
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
1131.2
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
1123.0
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
1107.7
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
1098.3
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1088.8
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
1080.7
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
1074.2
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
1046.0
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
1027.1
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
1026.7
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
1023.0
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
1022.3
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
1015.1
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
982.2
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
965.5
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
963.0
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
950.2
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
940.7
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
940.1
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
939.4
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
936.7
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
935.5
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
930.5
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
929.3
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
920.9
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
918.4
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
912.5
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
900.2
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
890.1
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
886.6
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
884.8
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
881.8
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
858.3
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
850.2
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
837.4
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
827.4
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
824.8
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
822.6
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
819.7
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
818.2
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
816.3
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
813.5
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
813.3
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
812.6
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
811.1
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
810.1
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
809.2
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
808.7
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
807.1
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
806.5
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
805.2
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
800.6
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
799.6
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
799.2
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
799.1
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
797.4
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
792.3
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
791.9
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
783.9
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
783.2
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
778.2
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
770.5
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
768.3
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
767.5
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
767.4
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
760.9
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
755.9
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
754.8
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
752.3
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
751.9
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
748.9
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
745.7
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
742.6
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
738.4
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
738.3
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
735.7
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
733.7
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
732.3
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
731.9
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
729.1
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
718.0
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
715.4
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
713.3
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
712.1
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
711.6
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
711.1
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
710.0
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
706.0
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
703.8
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
698.8
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
697.6
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
697.4
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
696.4
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
695.9
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
686.8
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
685.5
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
684.6
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
684.3
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
682.0
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
679.6
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
675.8
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
674.8
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
673.2
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
668.5
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
667.8
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
659.2
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
656.3
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
655.7
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
651.3
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
649.2
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
649.2
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
647.5
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
645.2
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
641.1
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
636.5
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
636.1
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
635.5
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
633.3
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
632.4
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
630.2
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
627.8
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
626.8
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
621.5
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
619.9
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
618.0
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
612.2
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
612.1
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
605.8
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
604.4
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
603.9
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
603.3
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
602.9
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
600.6
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
598.8
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
598.3
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
598.2
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
594.1
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
594.1
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
590.1
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
586.7
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
582.7
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
581.7
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
580.9
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
573.0
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
571.8
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
568.6
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
568.0
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
565.9
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
564.7
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
562.8
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
559.5
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
557.0
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
552.2
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
551.1
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
545.5
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
541.8
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
537.9
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
537.7
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
537.2
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
536.3
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
536.0
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
535.8
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
535.6
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
529.4
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
529.4
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
526.4
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
526.0
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
525.5
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
525.3
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
521.5
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
520.4
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
519.6
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
519.2
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
517.4
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
514.7
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
514.0
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
512.4
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
512.2
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
511.8
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
511.6
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
511.0
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
510.5
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
510.4
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
507.9
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
506.7
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
506.1
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
504.4
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
503.0
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
502.7
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
502.7
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
496.9
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
492.9
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
488.1
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
486.9
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
484.8
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
483.7
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
483.5
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
481.0
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
480.1
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
478.1
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
476.8
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
471.1
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
470.2
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
469.5
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
468.0
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
465.8
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
462.4
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
461.1
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
459.5
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
458.9
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
457.5
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
456.9
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
456.6
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
456.2
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
455.8
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
455.4
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
454.5
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
451.8
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
451.1
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
449.3
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
447.3
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
446.3
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
444.1
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
441.2
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
438.9
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
431.0
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
422.6
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
420.0
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
417.6
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
417.4
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
416.8
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
416.3
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
414.6
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
412.4
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
412.0
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
409.4
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
409.2
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
408.4
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
407.7
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
405.5
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
405.2
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
404.2
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
400.4
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
399.6
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
394.5
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
393.2
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
388.1
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
385.9
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
383.8
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
382.2
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
379.6
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
379.1
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
374.5
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
372.4
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
370.7
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
370.0
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
369.7
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
368.9
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
368.9
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
365.2
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
364.2
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
363.7
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
363.3
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
360.9
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
360.8
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
359.4
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
359.3
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
348.6
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
345.8
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
345.2
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
344.9
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
341.1
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
339.2
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
338.2
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
337.9
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
333.8
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
333.1
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
331.9
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
330.0
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
328.9
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
324.9
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
317.9
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
313.7
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
312.8
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
312.4
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
310.4
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
305.2
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
297.9
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
293.5
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
292.5
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
285.8
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
282.0
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
281.3
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
280.8
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
280.3
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
278.5
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
278.4
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
274.6
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
272.0
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
265.4
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
264.8
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
262.7
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
252.3
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
243.8
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
243.0
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
241.2
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
239.0
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
235.4
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
231.5
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
226.7
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
217.5
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
213.0
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
211.0
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
207.4
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
193.1
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
182.9
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
172.5
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
172.0
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
164.5
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
153.8
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 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.
UQCRQ is not prognostic in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
144.9
Number of samples
231
Samples
Sample
Description
TPM
DO23545
67 years, male, NA, stage:2, dead, 570 days
620.7
DO48759
73 years, male, NA, stage:3, alive, 720 days
494.9
DO48723
73 years, male, NA, stage:1, alive, 600 days
424.4
DO48741
64 years, male, NA, stage:3, alive, 240 days
376.5
DO23539
77 years, male, NA, stage:1, alive, 1110 days
371.0
DO50839
47 years, female, NA, stage:3, alive, 330 days
353.9
DO45133
64 years, male, NA, stage:3, dead, 660 days
349.6
DO23519
65 years, male, NA, stage:3, alive, 630 days
338.4
DO50814
83 years, male, NA, stage:3, alive, 420 days
334.8
DO50825
70 years, male, NA, stage:2, alive, 390 days
330.4
DO45143
69 years, male, NA, stage:3, alive, 1290 days
324.5
DO48695
77 years, male, NA, stage:2, alive, 720 days
319.9
DO45109
63 years, male, NA, stage:2, alive, 1590 days
313.9
DO23533
61 years, male, NA, stage:2, alive, 900 days
308.3
DO45099
46 years, male, NA, stage:3, alive, 1590 days
300.4
DO45255
81 years, male, NA, stage:3, alive, 720 days
299.2
DO23508
79 years, female, NA, stage:2, alive, 390 days
297.2
DO48719
80 years, male, NA, stage:2, alive, 690 days
294.9
DO45095
66 years, male, NA, stage:2, alive, 1620 days
294.7
DO48717
54 years, male, NA, stage:4, dead, 180 days
292.5
DO45097
69 years, male, NA, stage:3, alive, 1620 days
291.9
DO50783
62 years, male, NA, stage:3, alive, 480 days
288.5
DO48693
71 years, male, NA, stage:2, alive, 900 days
279.0
DO23518
67 years, male, NA, stage:2, alive, 1320 days
275.4
DO50808
68 years, male, NA, stage:2, alive, 570 days
273.9
DO45101
63 years, male, NA, stage:2, alive, 1680 days
272.6
DO50813
56 years, male, NA, stage:2, alive, 420 days
270.5
DO50802
49 years, male, NA, stage:2, alive, 930 days
266.8
DO45241
49 years, male, NA, stage:1, alive, 1080 days
266.5
DO45177
81 years, female, NA, stage:3, alive, 1260 days
257.6
DO50811
62 years, male, NA, stage:1, alive, 450 days
248.1
DO48672
81 years, male, NA, stage:2, alive, 450 days
242.9
DO48679
72 years, male, NA, stage:2, alive, 1200 days
239.9
DO48721
58 years, female, NA, stage:1, alive, 900 days
236.0
DO45163
76 years, male, NA, stage:2, alive, 960 days
235.9
DO45103
47 years, male, NA, stage:3, alive, 450 days
227.9
DO45171
56 years, male, NA, stage:3, alive, 600 days
222.8
DO45129
61 years, male, NA, stage:3, alive, 1470 days
220.7
DO45169
74 years, male, NA, stage:3, alive, 1350 days
217.7
DO45092
62 years, male, NA, stage:4, dead, 1200 days
217.5
DO50818
65 years, male, NA, stage:2, alive, 510 days
217.5
DO50776
75 years, male, NA, stage:1, alive, 690 days
212.0
DO50822
66 years, male, NA, stage:2, alive, 510 days
205.9
DO50857
72 years, male, NA, stage:2, alive, 210 days
205.8
DO45167
67 years, male, NA, stage:2, dead, 1440 days
205.1
DO48716
71 years, male, NA, stage:2, alive, 720 days
204.6
DO23514
64 years, male, NA, stage:2, alive, 1290 days
202.5
DO50859
77 years, male, NA, stage:2, alive, 180 days
201.2
DO45093
71 years, male, NA, stage:2, dead, 720 days
200.0
DO50805
72 years, male, NA, stage:2, alive, 690 days
199.4
DO45153
77 years, female, NA, stage:2, alive, 1380 days
199.3
DO48737
52 years, male, NA, stage:1, alive, 720 days
197.7
DO45285
59 years, male, NA, stage:3, alive, 480 days
195.1
DO45096
69 years, male, NA, stage:2, dead, 1290 days
194.6
DO45227
57 years, female, NA, stage:2, alive, 1020 days
194.1
DO23525
71 years, male, NA, stage:4, alive, 1050 days
191.1
DO50798
77 years, male, NA, stage:3, dead, 30 days
190.3
DO45145
78 years, male, NA, stage:3, dead, 60 days
182.2
DO48742
76 years, male, NA, stage:2, alive, 600 days
180.7
DO50819
72 years, female, NA, stage:2, alive, 510 days
179.1
DO50791
79 years, female, NA, stage:1, dead, 480 days
178.0
DO45303
62 years, female, NA, stage:3, alive, 990 days
175.1
DO48761
55 years, male, NA, stage:2, alive, 870 days
175.1
DO23534
60 years, male, NA, stage:2, alive, 840 days
172.1
DO227801
77 years, female, NA, stage:1, alive, 660 days
171.8
DO50832
73 years, male, NA, stage:3, alive, 90 days
169.2
DO45235
68 years, female, NA, stage:1, alive, 900 days
167.7
DO23536
56 years, male, NA, stage:2, alive, 930 days
166.2
DO48700
78 years, female, NA, stage:2, alive, 810 days
162.6
DO227643
79 years, male, NA, stage:2, alive, 1260 days
159.6
DO45115
81 years, male, NA, stage:2, alive, 840 days
159.2
DO23546
63 years, male, NA, stage:2, alive, 1050 days
158.9
DO45253
50 years, male, NA, stage:2, alive, 870 days
158.3
DO45149
70 years, female, NA, stage:2, alive, 1260 days
158.0
DO45261
74 years, male, NA, stage:3, alive, 990 days
156.5
DO45159
65 years, male, NA, stage:3, alive, 1470 days
156.0
DO50809
56 years, male, NA, stage:3, dead, 720 days
155.3
DO45091
56 years, male, NA, stage:2, dead, 1320 days
154.3
DO45117
73 years, female, NA, stage:2, dead, 1110 days
153.7
DO50774
68 years, female, NA, stage:2, alive, 720 days
151.5
DO45135
77 years, male, NA, stage:1, alive, 1410 days
151.5
DO48674
80 years, male, NA, stage:2, alive, 1260 days
149.1
DO45275
65 years, male, NA, stage:3, dead, 10 days
148.9
DO45179
78 years, female, NA, stage:2, alive, 600 days
147.9
DO45289
78 years, female, NA, stage:3, alive, 360 days
146.9
DO23548
78 years, female, NA, stage:1, alive, 840 days
146.7
DO45185
89 years, male, NA, stage:2, alive, 600 days
146.2
DO45139
63 years, male, NA, stage:3, alive, 1320 days
146.2
DO48701
78 years, male, NA, stage:2, alive, 780 days
141.1
DO45107
63 years, female, NA, stage:2, alive, 1710 days
140.8
DO45195
62 years, male, NA, stage:1, alive, 390 days
139.6
DO23526
66 years, male, NA, stage:3, alive, 1050 days
139.4
DO23529
72 years, male, NA, stage:4, alive, 930 days
138.9
DO23542
66 years, male, NA, stage:3, alive, 960 days
137.7
DO50816
63 years, male, NA, stage:2, alive, 390 days
136.3
DO23541
65 years, male, NA, stage:2, alive, 930 days
136.0
DO48747
62 years, male, NA, stage:3, alive, 540 days
135.9
DO50804
81 years, male, NA, stage:2, alive, 720 days
135.7
DO45245
75 years, female, NA, stage:2, dead, 240 days
135.4
DO45175
74 years, male, NA, stage:2, alive, 1140 days
134.9
DO45215
65 years, male, NA, stage:2, alive, 1170 days
134.8
DO50840
49 years, male, NA, stage:2, alive, 330 days
134.3
DO45257
46 years, male, NA, stage:3, alive, 810 days
133.4
DO45125
58 years, male, NA, stage:3, alive, 1680 days
132.7
DO48743
69 years, female, NA, stage:2, alive, 570 days
132.4
DO45281
83 years, male, NA, stage:4, alive, 750 days
130.7
DO48760
70 years, female, NA, stage:2, alive, 690 days
130.6
DO48682
72 years, female, NA, stage:3, dead, 120 days
129.2
DO45161
74 years, male, NA, stage:2, dead, 540 days
128.5
DO23513
76 years, male, NA, stage:3, alive, 1200 days
127.9
DO45221
75 years, female, NA, stage:4, dead, 390 days
127.4
DO45199
86 years, female, NA, stage:2, alive, 1350 days
127.3
DO50789
73 years, female, NA, stage:2, alive, 570 days
127.3
DO50806
70 years, male, NA, stage:4, alive, 540 days
127.0
DO23528
45 years, female, NA, stage:2, alive, 1020 days
126.4
DO48704
68 years, female, NA, stage:3, alive, 750 days
124.8
DO23517
62 years, male, NA, stage:2, alive, 1200 days
123.9
DO23516
69 years, male, NA, stage:3, dead, 20 days
123.2
DO50817
75 years, male, NA, stage:2, alive, 390 days
122.4
DO45183
72 years, female, NA, stage:2, dead, 570 days
122.3
DO45223
67 years, male, NA, stage:4, alive, 1020 days
121.0
DO48706
72 years, male, NA, stage:2, alive, 870 days
120.9
DO48746
76 years, male, NA, stage:3, alive, 570 days
120.5
DO48712
50 years, male, NA, stage:2, alive, 810 days
120.2
DO23512
60 years, male, NA, stage:1, alive, 1260 days
120.1
DO23509
60 years, male, NA, stage:3, dead, 780 days
119.9
DO23527
72 years, male, NA, stage:1, alive, 1050 days
118.9
DO45269
59 years, male, NA, stage:3, alive, 750 days
118.5
DO45233
83 years, male, NA, stage:3, alive, 900 days
116.0
DO45211
76 years, male, NA, stage:3, alive, 240 days
113.8
DO23510
80 years, female, NA, stage:2, alive, 870 days
112.8
DO50850
74 years, male, NA, stage:3, alive, 720 days
112.4
DO45229
74 years, male, NA, stage:1, alive, 990 days
112.3
DO23549
74 years, male, NA, stage:3, alive, 990 days
112.1
DO50785
37 years, male, NA, stage:4, dead, 90 days
111.5
DO45243
74 years, female, NA, stage:3, alive, 930 days
110.8
DO23538
67 years, male, NA, stage:2, alive, 450 days
109.5
DO50787
63 years, male, NA, stage:3, alive, 480 days
109.1
DO45173
63 years, male, NA, stage:3, alive, 1170 days
108.0
DO45111
74 years, male, NA, stage:2, alive, 1590 days
107.8
DO48677
58 years, male, NA, stage:3, alive, 1140 days
106.4
DO45094
76 years, male, NA, stage:3, alive, 1650 days
105.4
DO23544
67 years, male, NA, stage:2, alive, 960 days
104.2
DO45201
49 years, male, NA, stage:1, alive, 900 days
103.1
DO50829
78 years, male, NA, stage:3, alive, 570 days
102.8
DO48725
66 years, male, NA, stage:1, alive, 780 days
102.5
DO50800
74 years, male, NA, stage:2, alive, 510 days
102.4
DO23515
71 years, male, NA, stage:2, alive, 1230 days
101.3
DO48727
81 years, female, NA, stage:2, dead, 390 days
101.3
DO50793
76 years, male, NA, stage:4, alive, 540 days
100.4
DO45157
62 years, male, NA, stage:2, alive, 1980 days
98.5
DO45305
66 years, male, NA, stage:4, alive, 300 days
97.3
DO45283
60 years, male, NA, stage:3, alive, 510 days
96.9
DO45123
78 years, female, NA, stage:2, dead, 570 days
96.7
DO48681
57 years, male, NA, stage:2, alive, 900 days
95.1
DO45181
84 years, female, NA, stage:2, alive, 1200 days
92.1
DO48751
68 years, male, NA, stage:2, dead, 480 days
91.7
DO45105
61 years, male, NA, stage:1, alive, 1680 days
91.3
DO45273
62 years, male, NA, stage:2, alive, 480 days
90.4
DO48733
72 years, male, NA, stage:2, alive, 600 days
89.8
DO48715
58 years, female, NA, stage:2, dead, 690 days
88.6
DO23550
69 years, male, NA, stage:1, alive, 990 days
86.8
DO50807
67 years, male, NA, stage:1, alive, 540 days
86.4
DO23532
71 years, female, NA, stage:1, alive, 960 days
86.1
DO23543
63 years, male, NA, stage:2, alive, 1020 days
85.6
DO45165
75 years, male, NA, stage:2, alive, 690 days
84.1
DO45197
51 years, male, NA, stage:2, alive, 1170 days
83.8
DO50845
72 years, male, NA, stage:3, alive, 210 days
83.4
DO45249
57 years, male, NA, stage:1, alive, 630 days
83.1
DO45113
58 years, male, NA, stage:3, alive, 1560 days
82.9
DO45213
58 years, male, NA, stage:1, alive, 1200 days
81.1
DO45297
61 years, female, NA, stage:4, dead, 1260 days
81.1
DO45141
73 years, male, NA, stage:2, alive, 1320 days
80.0
DO48720
62 years, female, NA, stage:2, alive, 570 days
79.1
DO45231
84 years, male, NA, stage:2, alive, 930 days
77.7
DO23531
78 years, female, NA, stage:3, alive, 900 days
77.4
DO45225
69 years, male, NA, stage:1, alive, 1050 days
77.3
DO23551
73 years, male, NA, stage:3, dead, 150 days
77.1
DO45207
68 years, male, NA, stage:1, alive, 1050 days
77.0
DO23540
73 years, male, NA, stage:1, alive, 750 days
76.5
DO45203
71 years, female, NA, stage:2, alive, 1170 days
73.5
DO45307
54 years, female, NA, stage:4, dead, 240 days
73.4
DO50855
47 years, male, NA, stage:2, alive, 570 days
71.4
DO50844
75 years, male, NA, stage:4, alive, 300 days
71.0
DO23521
63 years, male, NA, stage:3, alive, 1110 days
70.8
DO45251
57 years, female, NA, stage:2, alive, 900 days
70.7
DO45219
78 years, male, NA, stage:2, alive, 1080 days
70.4
DO45247
31 years, female, NA, stage:2, alive, 210 days
69.4
DO48697
64 years, female, NA, stage:2, dead, 810 days
69.3
DO23524
71 years, female, NA, stage:2, alive, 1050 days
69.1
DO45287
74 years, male, NA, stage:1, alive, 390 days
68.6
DO23537
79 years, male, NA, stage:2, dead, 900 days
68.3
DO45137
38 years, male, NA, stage:1, alive, 1320 days
67.0
DO50803
62 years, female, NA, stage:1, alive, 540 days
65.7
DO45277
64 years, male, NA, stage:3, alive, 600 days
65.7
DO45187
32 years, female, NA, stage:1, alive, 1260 days
65.1
DO50778
60 years, male, NA, stage:4, alive, 630 days
65.0
DO45121
61 years, male, NA, stage:3, alive, 1530 days
64.8
DO23535
67 years, male, NA, stage:1, alive, 960 days
63.9
DO45131
53 years, male, NA, stage:4, dead, 360 days
63.4
DO45119
74 years, male, NA, stage:3, dead, 510 days
62.8
DO23547
74 years, male, NA, stage:1, alive, 1020 days
62.2
DO45237
58 years, male, NA, stage:2, alive, 900 days
61.3
DO45299
70 years, female, NA, stage:1, alive, 1440 days
60.6
DO45263
67 years, male, NA, stage:3, dead, 270 days
60.2
DO45267
73 years, male, NA, stage:3, dead, 570 days
60.2
DO48730
73 years, female, NA, stage:2, alive, 630 days
56.4
DO50799
66 years, female, NA, stage:2, alive, 540 days
56.1
DO48736
76 years, female, NA, stage:1, alive, 600 days
55.0
DO48732
73 years, male, NA, stage:3, alive, 630 days
54.8
DO45191
61 years, female, NA, stage:2, alive, 1200 days
54.3
DO50820
77 years, female, NA, stage:3, alive, 510 days
54.0
DO23552
80 years, female, NA, stage:1, alive, 810 days
53.4
DO45127
73 years, male, NA, stage:3, dead, 420 days
51.9
DO45301
56 years, male, NA, stage:2, dead, 1440 days
50.4
DO23511
83 years, female, NA, stage:3, dead, 180 days
49.9
DO48728
74 years, female, NA, stage:2, alive, 150 days
48.9
DO23530
53 years, male, NA, stage:4, dead, 180 days
47.6
DO45259
65 years, male, NA, stage:3, alive, 330 days
46.8
DO50815
62 years, male, NA, stage:3, alive, 150 days
43.7
DO45155
69 years, male, NA, stage:2, alive, 2160 days
43.5
DO48757
68 years, female, NA, stage:3, alive, 480 days
42.5
DO45279
67 years, male, NA, stage:3, alive, 1290 days
41.9
DO45217
69 years, female, NA, stage:3, dead, 270 days
41.6
DO45265
73 years, male, NA, stage:3, alive, 1020 days
40.6
DO45189
85 years, female, NA, stage:2, alive, 1200 days
39.3
DO45205
67 years, female, NA, stage:2, dead, 90 days
38.1
DO45239
42 years, male, NA, stage:2, alive, 870 days
37.3
DO45193
68 years, female, NA, stage:4, dead, 120 days
36.9
DO23523
52 years, male, NA, stage:3, alive, 1080 days
36.4
DO45209
70 years, male, NA, stage:4, alive, 1350 days
27.1
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
627
Tumor
1.2
231
Tumor
1.1
227
Tumor
1.0
571
Tumor
1.0
745
Tumor
0.9
1041
Tumor
0.8
423
Tumor
0.8
487
Tumor
0.8
867
Tumor
0.8
981
Tumor
0.7
911
Tumor
0.7
557
Tumor
0.7
327
Tumor
0.7
915
Tumor
0.7
314
Normal
0.6
473
Tumor
0.6
411
Tumor
0.6
912
Normal
0.6
171
Tumor
0.6
1032
Normal
0.6
636
Normal
0.6
824
Normal
0.6
172
Normal
0.6
882
Normal
0.5
1014
Normal
0.5
868
Normal
0.5
713
Tumor
0.5
755
Tumor
0.5
1045
Tumor
0.5
1043
Tumor
0.5
267
Tumor
0.5
685
Tumor
0.5
483
Tumor
0.5
546
Normal
0.5
878
Normal
0.5
818
Normal
0.5
162
Normal
0.5
356
Normal
0.5
922
Normal
0.5
1042
Normal
0.5
698
Normal
0.5
534
Normal
0.5
1013
Tumor
0.5
328
Normal
0.5
862
Normal
0.4
635
Tumor
0.4
944
Normal
0.4
1046
Normal
0.4
451
Tumor
0.4
145
Tumor
0.4
746
Normal
0.4
462
Normal
0.4
448
Normal
0.4
728
Normal
0.4
964
Normal
0.4
128
Normal
0.4
954
Normal
0.4
484
Normal
0.4
344
Normal
0.4
858
Normal
0.4
1026
Normal
0.4
228
Normal
0.4
1025
Tumor
0.4
642
Normal
0.4
341
Tumor
0.4
648
Normal
0.4
1022
Normal
0.4
488
Normal
0.4
723
Tumor
0.4
342
Normal
0.4
756
Normal
0.4
866
Normal
0.4
616
Normal
0.4
864
Normal
0.4
686
Normal
0.4
376
Normal
0.4
514
Normal
0.4
564
Normal
0.4
525
Tumor
0.4
426
Normal
0.4
554
Normal
0.4
982
Normal
0.4
528
Normal
0.4
984
Normal
0.3
196
Normal
0.3
816
Normal
0.3
452
Normal
0.3
786
Normal
0.3
1028
Normal
0.3
472
Normal
0.3
742
Normal
0.3
714
Normal
0.3
695
Tumor
0.3
161
Tumor
0.3
524
Normal
0.3
232
Normal
0.3
491
Tumor
0.3
938
Normal
0.3
722
Normal
0.3
416
Normal
0.3
481
Tumor
0.3
978
Normal
0.3
148
Normal
0.3
424
Normal
0.3
516
Normal
0.3
925
Tumor
0.3
435
Tumor
0.3
721
Tumor
0.3
142
Normal
0.3
1044
Normal
0.3
958
Normal
0.3
537
Tumor
0.3
112
Tumor
0.3
568
Normal
0.3
258
Normal
0.3
615
Tumor
0.3
212
Normal
0.3
482
Normal
0.3
414
Normal
0.3
513
Tumor
0.3
518
Normal
0.3
873
Tumor
0.3
114
Normal
0.3
874
Normal
0.3
968
Normal
0.2
955
Tumor
0.2
394
Normal
0.2
436
Normal
0.2
466
Normal
0.2
572
Normal
0.2
138
Normal
0.2
976
Normal
0.2
696
Normal
0.2
628
Normal
0.2
364
Normal
0.2
358
Normal
0.2
332
Normal
0.2
111
Normal
0.2
428
Normal
0.2
664
Normal
0.2
778
Normal
0.2
738
Normal
0.2
214
Normal
0.2
526
Normal
0.2
861
Tumor
0.2
368
Normal
0.2
852
Normal
0.2
132
Normal
0.2
278
Normal
0.2
392
Normal
0.2
926
Normal
0.2
618
Normal
0.2
663
Tumor
0.2
744
Normal
0.2
1016
Normal
0.2
494
Normal
0.2
218
Normal
0.2
952
Normal
0.2
222
Normal
0.2
538
Normal
0.2
313
Tumor
0.2
716
Normal
0.2
284
Normal
0.2
354
Normal
0.2
497
Tumor
0.2
573
Tumor
0.2
956
Normal
0.2
478
Normal
0.2
366
Normal
0.1
353
Tumor
0.1
884
Normal
0.1
924
Normal
0.1
422
Normal
0.1
446
Normal
0.1
558
Normal
0.1
355
Tumor
0.1
298
Normal
0.1
127
Tumor
0.1
223
Tumor
0.1
186
Normal
0.1
195
Tumor
0.1
913
Tumor
0.1
865
Tumor
0.1
113
Tumor
0.1
126
Normal
0.1
465
Tumor
0.1
662
Normal
0.1
1015
Tumor
0.1
574
Normal
0.1
187
Tumor
0.1
262
Normal
0.1
388
Normal
0.1
272
Normal
0.1
136
Normal
0.1
641
Tumor
0.1
957
Tumor
0.1
286
Normal
0.1
124
Normal
0.1
361
Tumor
0.1
432
Normal
0.1
666
Normal
0.1
224
Normal
0.1
396
Normal
0.1
923
Tumor
0.1
672
Normal
0.1
468
Normal
0.1
857
Tumor
0.1
474
Normal
0.1
963
Tumor
0.0
352
Normal
0.0
433
Tumor
0.0
918
Normal
0.0
456
Normal
0.0
916
Normal
0.0
123
Tumor
0.0
777
Tumor
0.0
393
Tumor
0.0
191
Tumor
0.0
464
Normal
0.0
937
Tumor
0.0
431
Tumor
0.0
135
Tumor
0.0
863
Tumor
0.0
517
Tumor
0.0
966
Normal
0.0
268
Normal
0.0
386
Normal
-0.1
188
Normal
-0.1
741
Tumor
-0.1
477
Tumor
-0.1
434
Normal
-0.1
1031
Tumor
-0.1
257
Tumor
-0.1
953
Tumor
-0.1
785
Tumor
-0.1
415
Tumor
-0.1
492
Normal
-0.1
715
Tumor
-0.1
914
Normal
-0.1
185
Tumor
-0.1
147
Tumor
-0.1
727
Tumor
-0.1
563
Tumor
-0.1
365
Tumor
-0.1
498
Normal
-0.1
1021
Tumor
-0.1
1027
Tumor
-0.1
146
Normal
-0.1
427
Tumor
-0.1
261
Tumor
-0.1
883
Tumor
-0.1
665
Tumor
-0.1
312
Normal
-0.2
493
Tumor
-0.2
387
Tumor
-0.2
536
Normal
-0.2
221
Tumor
-0.2
413
Tumor
-0.2
553
Tumor
-0.2
461
Tumor
-0.2
384
Normal
-0.2
277
Tumor
-0.2
471
Tumor
-0.2
213
Tumor
-0.2
881
Tumor
-0.2
363
Tumor
-0.3
743
Tumor
-0.3
412
Normal
-0.3
444
Normal
-0.3
271
Tumor
-0.3
697
Tumor
-0.3
617
Tumor
-0.3
977
Tumor
-0.3
523
Tumor
-0.3
395
Tumor
-0.3
467
Tumor
-0.3
217
Tumor
-0.3
141
Tumor
-0.3
965
Tumor
-0.3
357
Tumor
-0.3
533
Tumor
-0.3
192
Normal
-0.4
515
Tumor
-0.4
975
Tumor
-0.4
463
Tumor
-0.4
921
Tumor
-0.4
851
Tumor
-0.4
362
Normal
-0.4
647
Tumor
-0.4
445
Tumor
-0.4
125
Tumor
-0.4
817
Tumor
-0.4
567
Tumor
-0.5
877
Tumor
-0.5
447
Tumor
-0.5
297
Tumor
-0.5
823
Tumor
-0.5
137
Tumor
-0.5
813
Tumor
-0.5
814
Normal
-0.6
331
Tumor
-0.6
367
Tumor
-0.6
443
Tumor
-0.6
421
Tumor
-0.6
943
Tumor
-0.6
383
Tumor
-0.6
951
Tumor
-0.7
917
Tumor
-0.7
967
Tumor
-0.7
737
Tumor
-0.7
351
Tumor
-0.7
983
Tumor
-0.7
343
Tumor
-0.7
425
Tumor
-0.7
527
Tumor
-0.7
535
Tumor
-0.7
671
Tumor
-0.7
385
Tumor
-0.8
211
Tumor
-0.8
375
Tumor
-0.8
131
Tumor
-0.8
815
Tumor
-0.8
391
Tumor
-0.9
724
Normal
-0.9
285
Tumor
-0.9
455
Tumor
-1.0
661
Tumor
-1.1
545
Tumor
-1.3
283
Tumor
-1.3
311
Tumor
-1.4
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LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.