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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.
COX7C 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 pTPM
720.5
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
2598.4
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
2103.1
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
1893.9
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
1739.4
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
1694.9
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
1534.8
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
1469.1
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
1435.1
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1421.3
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
1408.8
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
1407.7
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
1372.2
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
1352.4
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
1317.0
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
1282.7
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
1272.8
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
1258.0
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
1256.1
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
1245.5
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
1233.1
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
1209.0
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
1199.6
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
1188.7
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1178.9
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
1160.5
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
1154.7
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
1129.3
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
1128.2
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
1127.1
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
1126.6
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
1096.0
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
1086.7
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
1076.0
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
1071.1
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
1061.5
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
1061.4
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1059.1
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
1053.2
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
1052.0
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
1051.4
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
1044.9
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
1044.6
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
1036.9
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
1034.4
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
1025.7
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
1018.7
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
1018.0
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
1015.4
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
1014.5
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
1013.1
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
1007.6
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
1005.0
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
1001.8
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
997.8
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
996.1
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
994.0
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
991.5
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
988.5
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
971.8
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
965.5
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
964.9
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
962.5
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
957.8
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
957.2
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
953.7
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
947.7
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
934.1
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
930.0
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
925.3
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
920.9
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
913.2
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
912.9
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
911.9
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
907.6
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
901.0
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
898.8
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
891.2
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
890.8
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
886.9
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
878.1
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
877.7
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
869.0
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
868.9
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
868.0
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
865.3
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
857.3
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
857.0
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
854.4
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
850.2
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
844.4
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
840.0
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
839.5
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
835.6
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
835.0
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
831.9
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
831.2
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
829.0
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
825.0
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
824.9
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
824.8
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
822.0
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
820.6
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
816.5
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
815.9
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
804.0
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
799.6
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
795.7
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
794.3
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
790.1
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
785.4
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
783.9
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
780.8
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
778.7
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
777.7
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
772.6
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
769.1
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
768.9
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
768.9
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
768.3
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
766.4
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
766.3
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
766.1
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
761.4
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
761.3
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
760.2
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
760.2
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
759.6
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
758.2
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
757.1
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
754.2
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
753.2
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
752.4
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
752.4
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
751.7
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
750.7
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
750.6
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
747.3
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
746.2
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
742.9
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
740.7
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
739.1
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
736.9
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
736.6
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
733.3
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
732.7
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
732.2
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
727.8
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
727.0
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
719.8
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
719.0
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
714.7
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
706.9
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
706.6
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
702.4
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
698.6
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
698.5
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
696.9
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
693.6
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
693.2
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
691.0
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
690.8
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
689.3
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
689.1
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
687.8
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
687.2
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
684.2
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
682.3
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
680.0
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
678.8
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
678.6
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
678.1
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
677.8
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
675.6
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
675.3
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
672.3
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
667.3
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
665.3
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
663.7
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
657.8
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
656.9
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
655.7
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
655.7
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
653.0
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
652.6
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
652.3
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
645.0
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
643.5
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
643.4
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
643.2
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
641.1
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
640.1
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
639.1
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
639.1
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
637.1
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
634.6
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
634.1
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
633.2
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
631.6
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
631.5
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
631.5
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
631.0
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
630.7
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
630.3
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
628.9
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
628.5
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
627.1
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
626.3
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
625.0
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
622.7
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
622.4
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
621.9
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
620.9
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
619.1
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
618.5
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
615.1
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
614.2
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
612.5
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
610.9
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
610.0
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
609.1
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
608.1
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
606.1
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
605.6
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
605.0
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
604.5
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
604.0
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
603.2
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
602.3
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
600.9
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
595.9
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
595.0
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
592.7
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
588.6
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
588.2
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
585.9
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
584.4
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
583.3
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
582.2
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
577.0
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
575.5
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
574.5
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
572.7
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
568.2
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
568.0
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
563.4
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
561.8
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
560.0
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
559.8
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
557.0
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
555.3
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
555.2
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
553.2
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
550.6
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
549.9
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
549.3
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
548.9
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
545.7
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
545.1
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
545.1
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
540.2
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
539.1
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
538.6
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
538.5
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
538.3
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
537.9
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
537.8
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
536.7
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
535.3
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
533.4
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
533.3
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
529.0
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
528.3
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
525.3
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
523.3
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
521.9
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
518.5
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
518.5
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
512.1
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
510.7
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
509.4
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
509.2
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
508.6
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
503.4
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
499.2
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
497.5
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
497.4
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
497.0
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
496.3
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
495.8
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
491.4
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
489.3
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
488.4
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
487.2
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
486.9
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
486.9
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
486.5
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
485.3
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
484.6
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
484.1
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
482.6
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
482.0
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
480.8
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
480.4
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
479.0
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
478.2
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
477.2
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
475.0
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
470.6
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
470.6
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
469.3
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
468.2
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
462.9
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
458.6
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
457.5
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
454.9
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
453.5
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
450.5
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
448.4
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
448.2
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
448.0
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
444.1
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
443.7
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
443.0
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
440.4
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
435.4
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
434.7
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
433.5
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
431.8
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
428.4
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
424.7
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
422.0
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
420.0
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
420.0
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
418.0
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
417.0
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
415.6
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
414.1
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
412.3
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
411.1
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
410.5
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
408.8
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
408.7
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
405.9
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
383.3
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
382.7
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
380.7
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
361.1
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
355.3
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
351.8
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
347.7
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
347.2
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
345.1
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
343.7
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
339.4
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
324.7
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
321.2
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
312.9
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
294.5
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
276.7
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
275.6
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
249.3
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 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.
COX7C is not prognostic in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
1133.1
Number of samples
231
Samples
Sample
Description
pTPM
DO45149
70 years, female, NA, stage:2, alive, 1260 days
3466.1
DO45119
74 years, male, NA, stage:3, dead, 510 days
3293.9
DO23545
67 years, male, NA, stage:2, dead, 570 days
3184.1
DO50829
78 years, male, NA, stage:3, alive, 570 days
2408.2
DO23518
67 years, male, NA, stage:2, alive, 1320 days
2211.7
DO45143
69 years, male, NA, stage:3, alive, 1290 days
2197.1
DO45289
78 years, female, NA, stage:3, alive, 360 days
2191.3
DO45145
78 years, male, NA, stage:3, dead, 60 days
2183.6
DO48759
73 years, male, NA, stage:3, alive, 720 days
2172.5
DO48741
64 years, male, NA, stage:3, alive, 240 days
2144.0
DO23508
79 years, female, NA, stage:2, alive, 390 days
2135.1
DO23509
60 years, male, NA, stage:3, dead, 780 days
2110.0
DO45283
60 years, male, NA, stage:3, alive, 510 days
2046.2
DO45275
65 years, male, NA, stage:3, dead, 10 days
1976.3
DO45091
56 years, male, NA, stage:2, dead, 1320 days
1958.9
DO45133
64 years, male, NA, stage:3, dead, 660 days
1946.1
DO45259
65 years, male, NA, stage:3, alive, 330 days
1927.4
DO48682
72 years, female, NA, stage:3, dead, 120 days
1846.4
DO45287
74 years, male, NA, stage:1, alive, 390 days
1845.1
DO45235
68 years, female, NA, stage:1, alive, 900 days
1843.9
DO45285
59 years, male, NA, stage:3, alive, 480 days
1826.9
DO45185
89 years, male, NA, stage:2, alive, 600 days
1809.9
DO45163
76 years, male, NA, stage:2, alive, 960 days
1793.8
DO23519
65 years, male, NA, stage:3, alive, 630 days
1773.4
DO45103
47 years, male, NA, stage:3, alive, 450 days
1725.0
DO45099
46 years, male, NA, stage:3, alive, 1590 days
1707.4
DO45189
85 years, female, NA, stage:2, alive, 1200 days
1665.2
DO45303
62 years, female, NA, stage:3, alive, 990 days
1657.3
DO48723
73 years, male, NA, stage:1, alive, 600 days
1639.3
DO45297
61 years, female, NA, stage:4, dead, 1260 days
1627.4
DO50825
70 years, male, NA, stage:2, alive, 390 days
1624.7
DO50798
77 years, male, NA, stage:3, dead, 30 days
1619.3
DO45221
75 years, female, NA, stage:4, dead, 390 days
1615.7
DO45305
66 years, male, NA, stage:4, alive, 300 days
1609.9
DO50832
73 years, male, NA, stage:3, alive, 90 days
1585.7
DO50814
83 years, male, NA, stage:3, alive, 420 days
1554.5
DO45227
57 years, female, NA, stage:2, alive, 1020 days
1548.4
DO45249
57 years, male, NA, stage:1, alive, 630 days
1529.8
DO45092
62 years, male, NA, stage:4, dead, 1200 days
1521.5
DO50791
79 years, female, NA, stage:1, dead, 480 days
1514.1
DO45096
69 years, male, NA, stage:2, dead, 1290 days
1514.1
DO45169
74 years, male, NA, stage:3, alive, 1350 days
1513.6
DO23546
63 years, male, NA, stage:2, alive, 1050 days
1492.9
DO45095
66 years, male, NA, stage:2, alive, 1620 days
1485.7
DO23533
61 years, male, NA, stage:2, alive, 900 days
1480.6
DO45097
69 years, male, NA, stage:3, alive, 1620 days
1463.5
DO48672
81 years, male, NA, stage:2, alive, 450 days
1441.5
DO50783
62 years, male, NA, stage:3, alive, 480 days
1441.4
DO48693
71 years, male, NA, stage:2, alive, 900 days
1437.0
DO48721
58 years, female, NA, stage:1, alive, 900 days
1432.0
DO45261
74 years, male, NA, stage:3, alive, 990 days
1414.1
DO45279
67 years, male, NA, stage:3, alive, 1290 days
1403.2
DO45267
73 years, male, NA, stage:3, dead, 570 days
1403.1
DO48747
62 years, male, NA, stage:3, alive, 540 days
1386.3
DO45117
73 years, female, NA, stage:2, dead, 1110 days
1365.6
DO23515
71 years, male, NA, stage:2, alive, 1230 days
1365.3
DO45257
46 years, male, NA, stage:3, alive, 810 days
1361.0
DO50819
72 years, female, NA, stage:2, alive, 510 days
1359.5
DO23538
67 years, male, NA, stage:2, alive, 450 days
1349.5
DO45127
73 years, male, NA, stage:3, dead, 420 days
1333.6
DO50808
68 years, male, NA, stage:2, alive, 570 days
1321.3
DO45183
72 years, female, NA, stage:2, dead, 570 days
1310.1
DO50844
75 years, male, NA, stage:4, alive, 300 days
1305.2
DO23524
71 years, female, NA, stage:2, alive, 1050 days
1305.0
DO50809
56 years, male, NA, stage:3, dead, 720 days
1301.0
DO45135
77 years, male, NA, stage:1, alive, 1410 days
1298.9
DO45277
64 years, male, NA, stage:3, alive, 600 days
1297.2
DO45269
59 years, male, NA, stage:3, alive, 750 days
1295.0
DO45171
56 years, male, NA, stage:3, alive, 600 days
1289.5
DO45139
63 years, male, NA, stage:3, alive, 1320 days
1273.9
DO50839
47 years, female, NA, stage:3, alive, 330 days
1254.0
DO45179
78 years, female, NA, stage:2, alive, 600 days
1243.0
DO45231
84 years, male, NA, stage:2, alive, 930 days
1240.2
DO50789
73 years, female, NA, stage:2, alive, 570 days
1237.8
DO45173
63 years, male, NA, stage:3, alive, 1170 days
1225.0
DO23552
80 years, female, NA, stage:1, alive, 810 days
1223.0
DO45299
70 years, female, NA, stage:1, alive, 1440 days
1217.7
DO45159
65 years, male, NA, stage:3, alive, 1470 days
1204.1
DO23541
65 years, male, NA, stage:2, alive, 930 days
1180.3
DO50857
72 years, male, NA, stage:2, alive, 210 days
1171.8
DO45161
74 years, male, NA, stage:2, dead, 540 days
1170.5
DO50776
75 years, male, NA, stage:1, alive, 690 days
1169.0
DO45253
50 years, male, NA, stage:2, alive, 870 days
1161.3
DO45093
71 years, male, NA, stage:2, dead, 720 days
1161.1
DO23510
80 years, female, NA, stage:2, alive, 870 days
1157.8
DO23528
45 years, female, NA, stage:2, alive, 1020 days
1156.2
DO50859
77 years, male, NA, stage:2, alive, 180 days
1156.1
DO48732
73 years, male, NA, stage:3, alive, 630 days
1156.1
DO45255
81 years, male, NA, stage:3, alive, 720 days
1153.6
DO45165
75 years, male, NA, stage:2, alive, 690 days
1153.5
DO48717
54 years, male, NA, stage:4, dead, 180 days
1153.4
DO23537
79 years, male, NA, stage:2, dead, 900 days
1152.8
DO45263
67 years, male, NA, stage:3, dead, 270 days
1152.7
DO45157
62 years, male, NA, stage:2, alive, 1980 days
1151.9
DO50802
49 years, male, NA, stage:2, alive, 930 days
1148.2
DO45123
78 years, female, NA, stage:2, dead, 570 days
1147.5
DO50811
62 years, male, NA, stage:1, alive, 450 days
1142.6
DO48719
80 years, male, NA, stage:2, alive, 690 days
1142.4
DO45203
71 years, female, NA, stage:2, alive, 1170 days
1140.9
DO45281
83 years, male, NA, stage:4, alive, 750 days
1135.2
DO45115
81 years, male, NA, stage:2, alive, 840 days
1128.0
DO50774
68 years, female, NA, stage:2, alive, 720 days
1127.5
DO48700
78 years, female, NA, stage:2, alive, 810 days
1124.0
DO45265
73 years, male, NA, stage:3, alive, 1020 days
1123.5
DO48697
64 years, female, NA, stage:2, dead, 810 days
1122.7
DO45225
69 years, male, NA, stage:1, alive, 1050 days
1116.5
DO23536
56 years, male, NA, stage:2, alive, 930 days
1107.8
DO50855
47 years, male, NA, stage:2, alive, 570 days
1098.3
DO45273
62 years, male, NA, stage:2, alive, 480 days
1096.3
DO45307
54 years, female, NA, stage:4, dead, 240 days
1092.0
DO45175
74 years, male, NA, stage:2, alive, 1140 days
1085.3
DO227643
79 years, male, NA, stage:2, alive, 1260 days
1073.8
DO45219
78 years, male, NA, stage:2, alive, 1080 days
1072.3
DO23513
76 years, male, NA, stage:3, alive, 1200 days
1069.1
DO48737
52 years, male, NA, stage:1, alive, 720 days
1060.4
DO23514
64 years, male, NA, stage:2, alive, 1290 days
1059.2
DO48730
73 years, female, NA, stage:2, alive, 630 days
1051.4
DO48720
62 years, female, NA, stage:2, alive, 570 days
1048.7
DO45223
67 years, male, NA, stage:4, alive, 1020 days
1048.5
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1016.1
DO50805
72 years, male, NA, stage:2, alive, 690 days
1013.9
DO45211
76 years, male, NA, stage:3, alive, 240 days
1007.3
DO45177
81 years, female, NA, stage:3, alive, 1260 days
1007.2
DO45237
58 years, male, NA, stage:2, alive, 900 days
1006.1
DO45213
58 years, male, NA, stage:1, alive, 1200 days
995.6
DO45197
51 years, male, NA, stage:2, alive, 1170 days
995.4
DO50840
49 years, male, NA, stage:2, alive, 330 days
988.7
DO45137
38 years, male, NA, stage:1, alive, 1320 days
987.6
DO45129
61 years, male, NA, stage:3, alive, 1470 days
985.2
DO23534
60 years, male, NA, stage:2, alive, 840 days
984.4
DO50818
65 years, male, NA, stage:2, alive, 510 days
981.6
DO23526
66 years, male, NA, stage:3, alive, 1050 days
977.7
DO48712
50 years, male, NA, stage:2, alive, 810 days
970.4
DO45243
74 years, female, NA, stage:3, alive, 930 days
965.0
DO45111
74 years, male, NA, stage:2, alive, 1590 days
963.2
DO45153
77 years, female, NA, stage:2, alive, 1380 days
957.9
DO45187
32 years, female, NA, stage:1, alive, 1260 days
953.7
DO50813
56 years, male, NA, stage:2, alive, 420 days
947.9
DO48742
76 years, male, NA, stage:2, alive, 600 days
945.2
DO50822
66 years, male, NA, stage:2, alive, 510 days
940.2
DO48681
57 years, male, NA, stage:2, alive, 900 days
936.5
DO50787
63 years, male, NA, stage:3, alive, 480 days
929.2
DO23527
72 years, male, NA, stage:1, alive, 1050 days
922.9
DO23530
53 years, male, NA, stage:4, dead, 180 days
921.0
DO45101
63 years, male, NA, stage:2, alive, 1680 days
920.0
DO48679
72 years, male, NA, stage:2, alive, 1200 days
914.9
DO45245
75 years, female, NA, stage:2, dead, 240 days
913.7
DO48695
77 years, male, NA, stage:2, alive, 720 days
908.1
DO45215
65 years, male, NA, stage:2, alive, 1170 days
903.0
DO45181
84 years, female, NA, stage:2, alive, 1200 days
898.1
DO45113
58 years, male, NA, stage:3, alive, 1560 days
895.2
DO23529
72 years, male, NA, stage:4, alive, 930 days
895.2
DO48761
55 years, male, NA, stage:2, alive, 870 days
885.6
DO45199
86 years, female, NA, stage:2, alive, 1350 days
878.8
DO45251
57 years, female, NA, stage:2, alive, 900 days
877.4
DO50785
37 years, male, NA, stage:4, dead, 90 days
870.9
DO48674
80 years, male, NA, stage:2, alive, 1260 days
866.7
DO48725
66 years, male, NA, stage:1, alive, 780 days
859.9
DO227801
77 years, female, NA, stage:1, alive, 660 days
857.6
DO45141
73 years, male, NA, stage:2, alive, 1320 days
856.6
DO50850
74 years, male, NA, stage:3, alive, 720 days
854.4
DO50799
66 years, female, NA, stage:2, alive, 540 days
851.4
DO45207
68 years, male, NA, stage:1, alive, 1050 days
850.5
DO23539
77 years, male, NA, stage:1, alive, 1110 days
850.1
DO50806
70 years, male, NA, stage:4, alive, 540 days
847.6
DO48746
76 years, male, NA, stage:3, alive, 570 days
844.1
DO23549
74 years, male, NA, stage:3, alive, 990 days
826.2
DO45195
62 years, male, NA, stage:1, alive, 390 days
820.9
DO23512
60 years, male, NA, stage:1, alive, 1260 days
812.6
DO45201
49 years, male, NA, stage:1, alive, 900 days
812.5
DO45191
61 years, female, NA, stage:2, alive, 1200 days
809.1
DO48743
69 years, female, NA, stage:2, alive, 570 days
808.1
DO48715
58 years, female, NA, stage:2, dead, 690 days
801.8
DO48704
68 years, female, NA, stage:3, alive, 750 days
801.2
DO48760
70 years, female, NA, stage:2, alive, 690 days
800.4
DO48728
74 years, female, NA, stage:2, alive, 150 days
776.5
DO23521
63 years, male, NA, stage:3, alive, 1110 days
769.6
DO23542
66 years, male, NA, stage:3, alive, 960 days
768.4
DO50800
74 years, male, NA, stage:2, alive, 510 days
768.2
DO48751
68 years, male, NA, stage:2, dead, 480 days
765.2
DO45193
68 years, female, NA, stage:4, dead, 120 days
761.0
DO23516
69 years, male, NA, stage:3, dead, 20 days
752.5
DO45239
42 years, male, NA, stage:2, alive, 870 days
748.2
DO48736
76 years, female, NA, stage:1, alive, 600 days
743.7
DO23531
78 years, female, NA, stage:3, alive, 900 days
741.9
DO45125
58 years, male, NA, stage:3, alive, 1680 days
738.7
DO23517
62 years, male, NA, stage:2, alive, 1200 days
738.0
DO50807
67 years, male, NA, stage:1, alive, 540 days
729.7
DO45121
61 years, male, NA, stage:3, alive, 1530 days
727.7
DO45105
61 years, male, NA, stage:1, alive, 1680 days
724.3
DO45233
83 years, male, NA, stage:3, alive, 900 days
718.5
DO45247
31 years, female, NA, stage:2, alive, 210 days
716.7
DO45167
67 years, male, NA, stage:2, dead, 1440 days
716.4
DO48677
58 years, male, NA, stage:3, alive, 1140 days
715.8
DO50820
77 years, female, NA, stage:3, alive, 510 days
708.6
DO45241
49 years, male, NA, stage:1, alive, 1080 days
707.1
DO23523
52 years, male, NA, stage:3, alive, 1080 days
706.9
DO48716
71 years, male, NA, stage:2, alive, 720 days
692.1
DO45094
76 years, male, NA, stage:3, alive, 1650 days
681.6
DO45229
74 years, male, NA, stage:1, alive, 990 days
679.3
DO23543
63 years, male, NA, stage:2, alive, 1020 days
679.3
DO48706
72 years, male, NA, stage:2, alive, 870 days
678.2
DO45301
56 years, male, NA, stage:2, dead, 1440 days
667.4
DO48701
78 years, male, NA, stage:2, alive, 780 days
663.8
DO50815
62 years, male, NA, stage:3, alive, 150 days
658.5
DO23550
69 years, male, NA, stage:1, alive, 990 days
656.0
DO50804
81 years, male, NA, stage:2, alive, 720 days
646.6
DO45217
69 years, female, NA, stage:3, dead, 270 days
637.1
DO50793
76 years, male, NA, stage:4, alive, 540 days
635.7
DO48727
81 years, female, NA, stage:2, dead, 390 days
597.4
DO45131
53 years, male, NA, stage:4, dead, 360 days
595.1
DO23544
67 years, male, NA, stage:2, alive, 960 days
592.0
DO45107
63 years, female, NA, stage:2, alive, 1710 days
590.9
DO23548
78 years, female, NA, stage:1, alive, 840 days
588.6
DO45209
70 years, male, NA, stage:4, alive, 1350 days
587.6
DO23547
74 years, male, NA, stage:1, alive, 1020 days
580.6
DO48733
72 years, male, NA, stage:2, alive, 600 days
561.6
DO50803
62 years, female, NA, stage:1, alive, 540 days
554.7
DO23535
67 years, male, NA, stage:1, alive, 960 days
551.3
DO50778
60 years, male, NA, stage:4, alive, 630 days
545.2
DO45205
67 years, female, NA, stage:2, dead, 90 days
543.0
DO50817
75 years, male, NA, stage:2, alive, 390 days
540.9
DO45109
63 years, male, NA, stage:2, alive, 1590 days
529.4
DO23551
73 years, male, NA, stage:3, dead, 150 days
514.6
DO50816
63 years, male, NA, stage:2, alive, 390 days
447.5
DO23532
71 years, female, NA, stage:1, alive, 960 days
427.5
DO50845
72 years, male, NA, stage:3, alive, 210 days
424.2
DO45155
69 years, male, NA, stage:2, alive, 2160 days
416.2
DO48757
68 years, female, NA, stage:3, alive, 480 days
389.8
DO23540
73 years, male, NA, stage:1, alive, 750 days
375.1
DO23511
83 years, female, NA, stage:3, dead, 180 days
251.8
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
227
Tumor
1.0
1041
Tumor
0.9
484
Normal
0.8
557
Tumor
0.7
944
Normal
0.7
745
Tumor
0.7
698
Normal
0.7
546
Normal
0.7
482
Normal
0.7
915
Tumor
0.7
728
Normal
0.6
1046
Normal
0.6
964
Normal
0.6
926
Normal
0.6
695
Tumor
0.6
534
Normal
0.6
231
Tumor
0.6
462
Normal
0.6
922
Normal
0.6
1014
Normal
0.6
918
Normal
0.6
713
Tumor
0.6
416
Normal
0.6
571
Tumor
0.6
212
Normal
0.6
866
Normal
0.6
472
Normal
0.6
448
Normal
0.6
878
Normal
0.6
514
Normal
0.6
516
Normal
0.6
824
Normal
0.6
1026
Normal
0.5
981
Tumor
0.5
554
Normal
0.5
756
Normal
0.5
356
Normal
0.5
1042
Normal
0.5
696
Normal
0.5
722
Normal
0.5
868
Normal
0.5
1032
Normal
0.5
738
Normal
0.5
867
Tumor
0.5
864
Normal
0.5
128
Normal
0.5
984
Normal
0.5
488
Normal
0.5
912
Normal
0.5
474
Normal
0.5
572
Normal
0.5
714
Normal
0.5
882
Normal
0.5
938
Normal
0.5
477
Tumor
0.5
982
Normal
0.5
564
Normal
0.5
286
Normal
0.5
528
Normal
0.5
328
Normal
0.5
1022
Normal
0.5
723
Tumor
0.5
1028
Normal
0.5
924
Normal
0.5
327
Tumor
0.5
955
Tumor
0.5
914
Normal
0.5
228
Normal
0.4
473
Tumor
0.4
862
Normal
0.4
976
Normal
0.4
411
Tumor
0.4
526
Normal
0.4
786
Normal
0.4
618
Normal
0.4
686
Normal
0.4
436
Normal
0.4
858
Normal
0.4
364
Normal
0.4
958
Normal
0.4
412
Normal
0.4
956
Normal
0.4
818
Normal
0.4
916
Normal
0.4
816
Normal
0.4
952
Normal
0.4
518
Normal
0.4
284
Normal
0.4
466
Normal
0.4
558
Normal
0.4
978
Normal
0.4
1016
Normal
0.4
636
Normal
0.4
261
Tumor
0.3
494
Normal
0.3
778
Normal
0.3
537
Tumor
0.3
746
Normal
0.3
954
Normal
0.3
616
Normal
0.3
127
Tumor
0.3
414
Normal
0.3
142
Normal
0.3
132
Normal
0.3
553
Tumor
0.3
568
Normal
0.3
742
Normal
0.3
478
Normal
0.3
664
Normal
0.3
362
Normal
0.3
1025
Tumor
0.3
483
Tumor
0.3
1044
Normal
0.3
224
Normal
0.2
874
Normal
0.2
685
Tumor
0.2
911
Tumor
0.2
1045
Tumor
0.2
966
Normal
0.2
628
Normal
0.2
642
Normal
0.2
524
Normal
0.2
432
Normal
0.2
298
Normal
0.2
434
Normal
0.2
196
Normal
0.2
214
Normal
0.2
114
Normal
0.2
148
Normal
0.2
424
Normal
0.2
111
Normal
0.2
278
Normal
0.2
113
Tumor
0.2
716
Normal
0.2
648
Normal
0.1
538
Normal
0.1
861
Tumor
0.1
171
Tumor
0.1
422
Normal
0.1
126
Normal
0.1
423
Tumor
0.1
641
Tumor
0.1
172
Normal
0.1
272
Normal
0.1
957
Tumor
0.1
426
Normal
0.1
884
Normal
0.1
968
Normal
0.1
715
Tumor
0.1
232
Normal
0.1
852
Normal
0.1
937
Tumor
0.1
428
Normal
0.1
662
Normal
0.1
446
Normal
0.1
376
Normal
0.1
574
Normal
0.1
358
Normal
0.1
492
Normal
0.1
525
Tumor
0.1
258
Normal
0.1
262
Normal
0.0
344
Normal
0.0
755
Tumor
0.0
923
Tumor
0.0
741
Tumor
0.0
136
Normal
0.0
498
Normal
0.0
1015
Tumor
0.0
744
Normal
0.0
666
Normal
0.0
617
Tumor
0.0
342
Normal
0.0
513
Tumor
0.0
314
Normal
0.0
481
Tumor
0.0
223
Tumor
0.0
663
Tumor
0.0
491
Tumor
0.0
431
Tumor
-0.1
138
Normal
-0.1
953
Tumor
-0.1
162
Normal
-0.1
464
Normal
-0.1
1013
Tumor
-0.1
1031
Tumor
-0.1
433
Tumor
-0.1
366
Normal
-0.1
823
Tumor
-0.1
341
Tumor
-0.1
857
Tumor
-0.1
865
Tumor
-0.1
493
Tumor
-0.1
146
Normal
-0.1
188
Normal
-0.1
352
Normal
-0.1
647
Tumor
-0.1
672
Normal
-0.1
285
Tumor
-0.1
186
Normal
-0.1
268
Normal
-0.1
392
Normal
-0.1
222
Normal
-0.1
471
Tumor
-0.1
444
Normal
-0.1
384
Normal
-0.2
468
Normal
-0.2
873
Tumor
-0.2
435
Tumor
-0.2
456
Normal
-0.2
257
Tumor
-0.2
697
Tumor
-0.2
393
Tumor
-0.2
112
Tumor
-0.2
361
Tumor
-0.2
536
Normal
-0.2
396
Normal
-0.2
977
Tumor
-0.2
218
Normal
-0.2
363
Tumor
-0.3
487
Tumor
-0.3
394
Normal
-0.3
523
Tumor
-0.3
777
Tumor
-0.3
533
Tumor
-0.3
951
Tumor
-0.3
388
Normal
-0.3
354
Normal
-0.3
386
Normal
-0.3
913
Tumor
-0.3
332
Normal
-0.3
817
Tumor
-0.3
124
Normal
-0.3
881
Tumor
-0.3
192
Normal
-0.3
785
Tumor
-0.3
461
Tumor
-0.3
415
Tumor
-0.3
191
Tumor
-0.3
465
Tumor
-0.3
451
Tumor
-0.3
975
Tumor
-0.3
517
Tumor
-0.3
145
Tumor
-0.3
497
Tumor
-0.4
452
Normal
-0.4
743
Tumor
-0.4
147
Tumor
-0.4
267
Tumor
-0.4
851
Tumor
-0.4
727
Tumor
-0.4
447
Tumor
-0.4
312
Normal
-0.4
353
Tumor
-0.4
427
Tumor
-0.4
137
Tumor
-0.4
187
Tumor
-0.4
665
Tumor
-0.4
963
Tumor
-0.4
221
Tumor
-0.5
635
Tumor
-0.5
123
Tumor
-0.5
814
Normal
-0.5
355
Tumor
-0.5
413
Tumor
-0.5
195
Tumor
-0.5
671
Tumor
-0.5
863
Tumor
-0.5
573
Tumor
-0.5
467
Tumor
-0.5
161
Tumor
-0.5
883
Tumor
-0.5
1043
Tumor
-0.5
211
Tumor
-0.5
943
Tumor
-0.5
135
Tumor
-0.5
545
Tumor
-0.5
217
Tumor
-0.5
983
Tumor
-0.5
925
Tumor
-0.5
967
Tumor
-0.6
615
Tumor
-0.6
125
Tumor
-0.6
563
Tumor
-0.6
185
Tumor
-0.6
357
Tumor
-0.6
661
Tumor
-0.6
1027
Tumor
-0.6
815
Tumor
-0.6
1021
Tumor
-0.6
365
Tumor
-0.6
527
Tumor
-0.6
375
Tumor
-0.6
367
Tumor
-0.6
131
Tumor
-0.6
383
Tumor
-0.6
311
Tumor
-0.6
965
Tumor
-0.7
721
Tumor
-0.7
271
Tumor
-0.7
213
Tumor
-0.7
351
Tumor
-0.7
368
Normal
-0.7
877
Tumor
-0.7
567
Tumor
-0.7
813
Tumor
-0.7
627
Tumor
-0.7
277
Tumor
-0.7
737
Tumor
-0.7
141
Tumor
-0.7
917
Tumor
-0.7
343
Tumor
-0.7
425
Tumor
-0.7
283
Tumor
-0.8
535
Tumor
-0.8
421
Tumor
-0.8
515
Tumor
-0.8
313
Tumor
-0.9
387
Tumor
-0.9
724
Normal
-0.9
443
Tumor
-1.0
297
Tumor
-1.0
395
Tumor
-1.1
331
Tumor
-1.1
463
Tumor
-1.1
921
Tumor
-1.1
385
Tumor
-1.1
455
Tumor
-1.2
445
Tumor
-1.3
391
Tumor
-1.7
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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.