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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.
CFL1 is potential prognostic, high expression is unfavorable in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
587.3
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
2620.3
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
1830.8
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
1626.2
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
1575.6
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
1494.5
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
1455.0
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
1406.3
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
1314.2
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
1290.0
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
1248.1
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
1222.5
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
1197.0
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
1178.7
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1177.2
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
1172.5
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
1162.9
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
1160.3
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
1150.7
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
1124.7
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
1074.8
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1072.7
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
1040.4
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
1030.7
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
1024.5
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
1023.9
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
1019.2
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
1016.8
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
1011.8
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
984.9
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
975.2
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
969.2
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
962.3
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
958.1
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
951.0
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
939.0
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
933.7
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
882.9
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
881.6
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
879.6
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
874.3
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
868.9
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
866.8
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
856.6
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
855.8
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
852.4
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
846.0
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
841.3
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
838.2
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
834.4
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
831.2
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
828.0
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
819.7
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
819.4
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
818.7
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
806.8
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
806.0
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
804.8
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
804.5
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
799.5
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
799.5
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
791.3
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
789.2
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
788.1
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
775.2
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
774.4
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
774.3
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
774.0
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
770.1
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
766.6
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
764.8
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
764.7
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
760.9
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
758.2
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
752.6
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
752.2
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
750.2
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
747.0
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
744.9
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
735.5
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
732.1
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
725.4
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
721.9
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
720.2
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
720.1
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
718.8
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
718.6
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
716.6
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
716.4
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
707.1
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
693.5
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
692.4
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
690.7
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
690.5
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
687.7
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
687.6
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
680.4
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
669.8
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
669.5
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
666.5
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
665.9
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
664.3
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
663.2
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
661.7
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
660.2
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
659.2
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
651.4
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
650.7
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
650.3
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
647.1
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
645.8
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
645.3
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
645.1
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
641.6
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
640.8
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
639.7
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
638.4
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
638.1
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
637.9
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
636.4
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
635.3
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
634.7
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
633.4
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
631.5
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
629.9
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
628.4
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
620.3
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
615.6
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
610.5
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
609.6
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
608.6
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
608.2
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
605.5
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
604.0
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
603.7
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
603.0
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
600.9
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
598.7
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
598.4
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
596.2
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
596.2
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
592.7
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
588.0
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
587.7
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
586.5
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
584.0
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
581.3
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
578.5
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
578.5
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
577.8
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
575.7
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
575.4
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
565.9
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
565.2
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
565.1
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
563.9
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
563.0
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
562.7
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
558.4
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
553.2
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
552.9
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
552.9
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
552.3
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
549.3
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
547.3
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
547.2
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
546.0
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
545.4
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
543.9
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
543.7
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
542.9
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
542.6
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
541.1
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
539.5
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
538.9
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
536.1
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
534.4
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
530.4
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
526.4
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
523.8
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
523.3
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
523.1
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
522.0
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
521.8
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
520.7
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
519.8
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
515.4
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
515.2
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
515.1
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
514.9
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
514.9
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
514.9
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
512.1
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
507.4
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
507.2
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
500.9
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
498.8
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
498.7
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
497.8
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
497.4
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
495.5
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
495.3
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
493.6
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
493.1
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
489.4
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
489.3
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
488.4
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
488.3
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
487.8
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
487.3
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
486.6
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
484.3
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
483.9
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
481.5
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
479.3
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
478.6
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
478.1
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
477.9
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
477.7
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
477.3
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
476.2
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
472.9
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
471.9
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
470.3
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
469.3
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
465.4
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
464.9
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
463.0
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
458.2
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
456.9
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
456.1
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
453.3
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
449.4
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
445.4
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
445.3
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
444.2
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
442.4
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
441.2
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
441.2
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
439.8
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
438.8
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
436.5
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
435.3
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
435.2
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
435.0
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
434.7
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
434.1
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
433.8
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
433.2
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
432.4
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
429.2
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
428.6
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
427.6
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
425.4
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
425.3
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
425.0
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
424.7
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
421.8
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
421.4
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
419.3
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
418.4
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
417.5
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
416.7
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
416.0
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
415.7
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
414.7
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
414.6
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
413.5
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
413.0
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
412.6
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
410.9
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
410.3
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
408.7
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
407.1
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
406.2
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
404.8
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
403.8
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
403.2
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
403.0
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
402.5
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
401.9
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
400.2
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
398.6
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
397.4
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
396.0
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
394.7
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
393.4
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
392.2
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
391.3
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
388.8
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
386.7
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
385.6
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
382.9
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
382.1
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
382.1
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
381.7
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
376.1
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
375.5
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
374.0
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
373.5
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
373.0
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
371.8
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
369.9
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
368.7
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
368.2
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
367.8
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
365.2
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
364.2
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
362.6
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
360.7
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
359.5
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
357.5
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
356.0
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
354.9
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
347.9
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
346.3
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
344.4
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
343.9
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
341.5
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
339.9
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
337.6
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
336.8
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
336.8
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
335.9
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
335.3
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
333.5
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
330.9
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
329.9
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
325.4
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
323.7
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
323.4
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
318.2
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
317.5
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
313.0
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
310.9
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
305.5
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
303.0
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
302.3
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
297.5
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
296.8
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
296.8
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
292.4
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
289.6
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
289.4
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
284.5
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
281.5
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
281.1
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
273.0
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
267.4
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
266.4
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
259.6
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
255.7
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
254.2
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
254.0
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
253.7
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
242.8
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
236.1
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
233.1
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
225.3
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
214.2
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
198.5
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
172.2
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 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.
CFL1 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
639.1
Number of samples
231
Samples
Sample
Description
pTPM
DO45307
54 years, female, NA, stage:4, dead, 240 days
2196.4
DO45297
61 years, female, NA, stage:4, dead, 1260 days
2082.6
DO23523
52 years, male, NA, stage:3, alive, 1080 days
1807.1
DO45287
74 years, male, NA, stage:1, alive, 390 days
1674.1
DO45299
70 years, female, NA, stage:1, alive, 1440 days
1638.0
DO45277
64 years, male, NA, stage:3, alive, 600 days
1574.3
DO45185
89 years, male, NA, stage:2, alive, 600 days
1569.8
DO45205
67 years, female, NA, stage:2, dead, 90 days
1544.5
DO45301
56 years, male, NA, stage:2, dead, 1440 days
1528.4
DO48747
62 years, male, NA, stage:3, alive, 540 days
1522.3
DO45305
66 years, male, NA, stage:4, alive, 300 days
1479.0
DO45289
78 years, female, NA, stage:3, alive, 360 days
1466.7
DO50829
78 years, male, NA, stage:3, alive, 570 days
1451.3
DO45217
69 years, female, NA, stage:3, dead, 270 days
1400.1
DO45155
69 years, male, NA, stage:2, alive, 2160 days
1368.3
DO23526
66 years, male, NA, stage:3, alive, 1050 days
1286.3
DO45211
76 years, male, NA, stage:3, alive, 240 days
1264.0
DO45275
65 years, male, NA, stage:3, dead, 10 days
1235.3
DO48732
73 years, male, NA, stage:3, alive, 630 days
1234.5
DO23515
71 years, male, NA, stage:2, alive, 1230 days
1233.9
DO45145
78 years, male, NA, stage:3, dead, 60 days
1150.1
DO50778
60 years, male, NA, stage:4, alive, 630 days
1138.2
DO45139
63 years, male, NA, stage:3, alive, 1320 days
1137.1
DO45259
65 years, male, NA, stage:3, alive, 330 days
1117.8
DO48697
64 years, female, NA, stage:2, dead, 810 days
1116.0
DO45249
57 years, male, NA, stage:1, alive, 630 days
1108.0
DO50799
66 years, female, NA, stage:2, alive, 540 days
1087.6
DO23519
65 years, male, NA, stage:3, alive, 630 days
1040.8
DO45245
75 years, female, NA, stage:2, dead, 240 days
1024.2
DO45303
62 years, female, NA, stage:3, alive, 990 days
1012.4
DO23508
79 years, female, NA, stage:2, alive, 390 days
1003.2
DO45273
62 years, male, NA, stage:2, alive, 480 days
999.7
DO50791
79 years, female, NA, stage:1, dead, 480 days
994.6
DO45161
74 years, male, NA, stage:2, dead, 540 days
990.8
DO48720
62 years, female, NA, stage:2, alive, 570 days
988.6
DO45131
53 years, male, NA, stage:4, dead, 360 days
981.0
DO50819
72 years, female, NA, stage:2, alive, 510 days
973.7
DO23547
74 years, male, NA, stage:1, alive, 1020 days
962.6
DO45285
59 years, male, NA, stage:3, alive, 480 days
942.9
DO50806
70 years, male, NA, stage:4, alive, 540 days
941.0
DO45115
81 years, male, NA, stage:2, alive, 840 days
912.2
DO45157
62 years, male, NA, stage:2, alive, 1980 days
898.1
DO45267
73 years, male, NA, stage:3, dead, 570 days
896.6
DO23530
53 years, male, NA, stage:4, dead, 180 days
888.9
DO45283
60 years, male, NA, stage:3, alive, 510 days
883.6
DO23510
80 years, female, NA, stage:2, alive, 870 days
881.7
DO23535
67 years, male, NA, stage:1, alive, 960 days
880.4
DO45189
85 years, female, NA, stage:2, alive, 1200 days
880.1
DO45119
74 years, male, NA, stage:3, dead, 510 days
879.4
DO50800
74 years, male, NA, stage:2, alive, 510 days
876.2
DO45209
70 years, male, NA, stage:4, alive, 1350 days
874.7
DO45279
67 years, male, NA, stage:3, alive, 1290 days
866.6
DO45127
73 years, male, NA, stage:3, dead, 420 days
864.9
DO50808
68 years, male, NA, stage:2, alive, 570 days
853.6
DO45092
62 years, male, NA, stage:4, dead, 1200 days
848.1
DO45251
57 years, female, NA, stage:2, alive, 900 days
846.6
DO23525
71 years, male, NA, stage:4, alive, 1050 days
832.9
DO48730
73 years, female, NA, stage:2, alive, 630 days
831.1
DO50805
72 years, male, NA, stage:2, alive, 690 days
798.2
DO48728
74 years, female, NA, stage:2, alive, 150 days
789.9
DO45165
75 years, male, NA, stage:2, alive, 690 days
781.6
DO45093
71 years, male, NA, stage:2, dead, 720 days
780.7
DO48701
78 years, male, NA, stage:2, alive, 780 days
775.6
DO23524
71 years, female, NA, stage:2, alive, 1050 days
772.4
DO48717
54 years, male, NA, stage:4, dead, 180 days
764.5
DO48737
52 years, male, NA, stage:1, alive, 720 days
761.4
DO50832
73 years, male, NA, stage:3, alive, 90 days
758.1
DO50855
47 years, male, NA, stage:2, alive, 570 days
754.0
DO48723
73 years, male, NA, stage:1, alive, 600 days
742.7
DO45243
74 years, female, NA, stage:3, alive, 930 days
740.0
DO48757
68 years, female, NA, stage:3, alive, 480 days
730.0
DO50840
49 years, male, NA, stage:2, alive, 330 days
723.3
DO45269
59 years, male, NA, stage:3, alive, 750 days
720.5
DO45135
77 years, male, NA, stage:1, alive, 1410 days
708.8
DO48751
68 years, male, NA, stage:2, dead, 480 days
699.2
DO45231
84 years, male, NA, stage:2, alive, 930 days
693.4
DO48700
78 years, female, NA, stage:2, alive, 810 days
686.9
DO45223
67 years, male, NA, stage:4, alive, 1020 days
676.8
DO45153
77 years, female, NA, stage:2, alive, 1380 days
675.8
DO23552
80 years, female, NA, stage:1, alive, 810 days
672.2
DO48712
50 years, male, NA, stage:2, alive, 810 days
670.6
DO45219
78 years, male, NA, stage:2, alive, 1080 days
651.8
DO23514
64 years, male, NA, stage:2, alive, 1290 days
650.3
DO48681
57 years, male, NA, stage:2, alive, 900 days
648.5
DO45221
75 years, female, NA, stage:4, dead, 390 days
641.1
DO48741
64 years, male, NA, stage:3, alive, 240 days
636.3
DO48704
68 years, female, NA, stage:3, alive, 750 days
633.2
DO50811
62 years, male, NA, stage:1, alive, 450 days
633.1
DO50809
56 years, male, NA, stage:3, dead, 720 days
632.7
DO45281
83 years, male, NA, stage:4, alive, 750 days
630.3
DO45255
81 years, male, NA, stage:3, alive, 720 days
629.7
DO23542
66 years, male, NA, stage:3, alive, 960 days
625.6
DO23521
63 years, male, NA, stage:3, alive, 1110 days
621.1
DO45263
67 years, male, NA, stage:3, dead, 270 days
619.6
DO50850
74 years, male, NA, stage:3, alive, 720 days
616.3
DO23549
74 years, male, NA, stage:3, alive, 990 days
604.4
DO45137
38 years, male, NA, stage:1, alive, 1320 days
598.5
DO45141
73 years, male, NA, stage:2, alive, 1320 days
598.2
DO45213
58 years, male, NA, stage:1, alive, 1200 days
595.8
DO50822
66 years, male, NA, stage:2, alive, 510 days
595.6
DO45159
65 years, male, NA, stage:3, alive, 1470 days
593.0
DO45103
47 years, male, NA, stage:3, alive, 450 days
589.8
DO48733
72 years, male, NA, stage:2, alive, 600 days
586.6
DO45143
69 years, male, NA, stage:3, alive, 1290 days
584.9
DO48679
72 years, male, NA, stage:2, alive, 1200 days
580.7
DO45121
61 years, male, NA, stage:3, alive, 1530 days
579.1
DO50776
75 years, male, NA, stage:1, alive, 690 days
577.0
DO45225
69 years, male, NA, stage:1, alive, 1050 days
573.4
DO45095
66 years, male, NA, stage:2, alive, 1620 days
568.5
DO23513
76 years, male, NA, stage:3, alive, 1200 days
568.5
DO48672
81 years, male, NA, stage:2, alive, 450 days
567.5
DO48736
76 years, female, NA, stage:1, alive, 600 days
559.6
DO45177
81 years, female, NA, stage:3, alive, 1260 days
544.8
DO50793
76 years, male, NA, stage:4, alive, 540 days
542.7
DO23540
73 years, male, NA, stage:1, alive, 750 days
541.2
DO45257
46 years, male, NA, stage:3, alive, 810 days
540.6
DO50785
37 years, male, NA, stage:4, dead, 90 days
533.6
DO45111
74 years, male, NA, stage:2, alive, 1590 days
532.7
DO23537
79 years, male, NA, stage:2, dead, 900 days
525.5
DO50802
49 years, male, NA, stage:2, alive, 930 days
525.3
DO50774
68 years, female, NA, stage:2, alive, 720 days
518.8
DO48759
73 years, male, NA, stage:3, alive, 720 days
515.8
DO50798
77 years, male, NA, stage:3, dead, 30 days
514.6
DO45179
78 years, female, NA, stage:2, alive, 600 days
503.1
DO45169
74 years, male, NA, stage:3, alive, 1350 days
497.9
DO48743
69 years, female, NA, stage:2, alive, 570 days
497.3
DO45207
68 years, male, NA, stage:1, alive, 1050 days
497.2
DO45235
68 years, female, NA, stage:1, alive, 900 days
495.4
DO48761
55 years, male, NA, stage:2, alive, 870 days
495.4
DO50787
63 years, male, NA, stage:3, alive, 480 days
489.8
DO45237
58 years, male, NA, stage:2, alive, 900 days
487.5
DO23533
61 years, male, NA, stage:2, alive, 900 days
483.0
DO45173
63 years, male, NA, stage:3, alive, 1170 days
482.5
DO45187
32 years, female, NA, stage:1, alive, 1260 days
481.2
DO23529
72 years, male, NA, stage:4, alive, 930 days
479.2
DO50815
62 years, male, NA, stage:3, alive, 150 days
479.1
DO45233
83 years, male, NA, stage:3, alive, 900 days
478.4
DO45183
72 years, female, NA, stage:2, dead, 570 days
473.9
DO45113
58 years, male, NA, stage:3, alive, 1560 days
473.4
DO50813
56 years, male, NA, stage:2, alive, 420 days
470.6
DO23543
63 years, male, NA, stage:2, alive, 1020 days
468.7
DO50803
62 years, female, NA, stage:1, alive, 540 days
467.7
DO45239
42 years, male, NA, stage:2, alive, 870 days
464.1
DO45099
46 years, male, NA, stage:3, alive, 1590 days
463.4
DO50844
75 years, male, NA, stage:4, alive, 300 days
460.6
DO227801
77 years, female, NA, stage:1, alive, 660 days
458.8
DO50825
70 years, male, NA, stage:2, alive, 390 days
457.9
DO45253
50 years, male, NA, stage:2, alive, 870 days
449.6
DO48682
72 years, female, NA, stage:3, dead, 120 days
449.4
DO23545
67 years, male, NA, stage:2, dead, 570 days
447.0
DO23518
67 years, male, NA, stage:2, alive, 1320 days
446.8
DO45197
51 years, male, NA, stage:2, alive, 1170 days
443.6
DO48725
66 years, male, NA, stage:1, alive, 780 days
443.0
DO45191
61 years, female, NA, stage:2, alive, 1200 days
438.4
DO48716
71 years, male, NA, stage:2, alive, 720 days
432.2
DO45265
73 years, male, NA, stage:3, alive, 1020 days
427.5
DO45193
68 years, female, NA, stage:4, dead, 120 days
426.2
DO45123
78 years, female, NA, stage:2, dead, 570 days
421.1
DO23516
69 years, male, NA, stage:3, dead, 20 days
419.9
DO48693
71 years, male, NA, stage:2, alive, 900 days
418.2
DO45229
74 years, male, NA, stage:1, alive, 990 days
417.4
DO50839
47 years, female, NA, stage:3, alive, 330 days
417.2
DO45201
49 years, male, NA, stage:1, alive, 900 days
414.5
DO48715
58 years, female, NA, stage:2, dead, 690 days
413.7
DO45171
56 years, male, NA, stage:3, alive, 600 days
408.5
DO50818
65 years, male, NA, stage:2, alive, 510 days
405.1
DO23539
77 years, male, NA, stage:1, alive, 1110 days
403.1
DO48695
77 years, male, NA, stage:2, alive, 720 days
402.6
DO23536
56 years, male, NA, stage:2, alive, 930 days
391.7
DO45109
63 years, male, NA, stage:2, alive, 1590 days
389.6
DO45203
71 years, female, NA, stage:2, alive, 1170 days
386.4
DO45261
74 years, male, NA, stage:3, alive, 990 days
385.6
DO45117
73 years, female, NA, stage:2, dead, 1110 days
374.1
DO23541
65 years, male, NA, stage:2, alive, 930 days
372.0
DO45091
56 years, male, NA, stage:2, dead, 1320 days
368.4
DO48719
80 years, male, NA, stage:2, alive, 690 days
366.7
DO45094
76 years, male, NA, stage:3, alive, 1650 days
365.9
DO48727
81 years, female, NA, stage:2, dead, 390 days
361.9
DO23512
60 years, male, NA, stage:1, alive, 1260 days
358.8
DO45133
64 years, male, NA, stage:3, dead, 660 days
355.2
DO23528
45 years, female, NA, stage:2, alive, 1020 days
354.4
DO23550
69 years, male, NA, stage:1, alive, 990 days
348.8
DO50804
81 years, male, NA, stage:2, alive, 720 days
345.6
DO45181
84 years, female, NA, stage:2, alive, 1200 days
344.2
DO50820
77 years, female, NA, stage:3, alive, 510 days
341.1
DO23548
78 years, female, NA, stage:1, alive, 840 days
340.0
DO48721
58 years, female, NA, stage:1, alive, 900 days
332.0
DO45097
69 years, male, NA, stage:3, alive, 1620 days
331.8
DO48742
76 years, male, NA, stage:2, alive, 600 days
331.8
DO48760
70 years, female, NA, stage:2, alive, 690 days
331.5
DO45149
70 years, female, NA, stage:2, alive, 1260 days
326.8
DO50807
67 years, male, NA, stage:1, alive, 540 days
324.6
DO45215
65 years, male, NA, stage:2, alive, 1170 days
323.3
DO45129
61 years, male, NA, stage:3, alive, 1470 days
322.9
DO50783
62 years, male, NA, stage:3, alive, 480 days
322.9
DO23534
60 years, male, NA, stage:2, alive, 840 days
319.9
DO23546
63 years, male, NA, stage:2, alive, 1050 days
317.5
DO45163
76 years, male, NA, stage:2, alive, 960 days
316.8
DO45199
86 years, female, NA, stage:2, alive, 1350 days
313.8
DO23511
83 years, female, NA, stage:3, dead, 180 days
311.5
DO23509
60 years, male, NA, stage:3, dead, 780 days
309.6
DO45175
74 years, male, NA, stage:2, alive, 1140 days
306.1
DO45227
57 years, female, NA, stage:2, alive, 1020 days
305.2
DO48706
72 years, male, NA, stage:2, alive, 870 days
305.2
DO45247
31 years, female, NA, stage:2, alive, 210 days
303.3
DO23527
72 years, male, NA, stage:1, alive, 1050 days
301.9
DO50859
77 years, male, NA, stage:2, alive, 180 days
299.1
DO48746
76 years, male, NA, stage:3, alive, 570 days
295.7
DO50789
73 years, female, NA, stage:2, alive, 570 days
293.7
DO45096
69 years, male, NA, stage:2, dead, 1290 days
287.3
DO23544
67 years, male, NA, stage:2, alive, 960 days
265.7
DO45125
58 years, male, NA, stage:3, alive, 1680 days
265.7
DO48677
58 years, male, NA, stage:3, alive, 1140 days
258.3
DO50814
83 years, male, NA, stage:3, alive, 420 days
257.1
DO23551
73 years, male, NA, stage:3, dead, 150 days
257.0
DO50857
72 years, male, NA, stage:2, alive, 210 days
247.4
DO45241
49 years, male, NA, stage:1, alive, 1080 days
240.8
DO23532
71 years, female, NA, stage:1, alive, 960 days
240.6
DO45195
62 years, male, NA, stage:1, alive, 390 days
228.8
DO227643
79 years, male, NA, stage:2, alive, 1260 days
225.3
DO45107
63 years, female, NA, stage:2, alive, 1710 days
223.0
DO50816
63 years, male, NA, stage:2, alive, 390 days
212.8
DO50845
72 years, male, NA, stage:3, alive, 210 days
209.7
DO50817
75 years, male, NA, stage:2, alive, 390 days
202.3
DO23531
78 years, female, NA, stage:3, alive, 900 days
200.7
DO23517
62 years, male, NA, stage:2, alive, 1200 days
200.0
DO45101
63 years, male, NA, stage:2, alive, 1680 days
195.5
DO45105
61 years, male, NA, stage:1, alive, 1680 days
190.3
DO23538
67 years, male, NA, stage:2, alive, 450 days
187.6
DO45167
67 years, male, NA, stage:2, dead, 1440 days
181.6
DO48674
80 years, male, NA, stage:2, alive, 1260 days
162.9
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
917
Tumor
1.0
211
Tumor
0.7
283
Tumor
0.6
1021
Tumor
0.6
661
Tumor
0.5
545
Tumor
0.5
536
Normal
0.5
447
Tumor
0.5
311
Tumor
0.4
455
Tumor
0.4
223
Tumor
0.4
327
Tumor
0.4
535
Tumor
0.4
814
Normal
0.4
943
Tumor
0.4
471
Tumor
0.4
617
Tumor
0.4
1045
Tumor
0.3
492
Normal
0.3
737
Tumor
0.3
817
Tumor
0.3
755
Tumor
0.3
527
Tumor
0.3
185
Tumor
0.3
978
Normal
0.3
815
Tumor
0.3
257
Tumor
0.3
1015
Tumor
0.3
513
Tumor
0.3
851
Tumor
0.3
823
Tumor
0.3
1027
Tumor
0.3
865
Tumor
0.3
913
Tumor
0.3
697
Tumor
0.2
1031
Tumor
0.2
395
Tumor
0.2
444
Normal
0.2
925
Tumor
0.2
297
Tumor
0.2
916
Normal
0.2
963
Tumor
0.2
937
Tumor
0.2
1025
Tumor
0.2
125
Tumor
0.2
966
Normal
0.2
498
Normal
0.2
491
Tumor
0.2
525
Tumor
0.2
478
Normal
0.2
573
Tumor
0.2
745
Tumor
0.2
538
Normal
0.2
727
Tumor
0.2
493
Tumor
0.2
923
Tumor
0.2
537
Tumor
0.2
881
Tumor
0.2
777
Tumor
0.2
857
Tumor
0.2
421
Tumor
0.2
195
Tumor
0.2
724
Normal
0.2
483
Tumor
0.2
363
Tumor
0.1
975
Tumor
0.1
375
Tumor
0.1
385
Tumor
0.1
387
Tumor
0.1
285
Tumor
0.1
461
Tumor
0.1
415
Tumor
0.1
188
Normal
0.1
147
Tumor
0.1
861
Tumor
0.1
434
Normal
0.1
524
Normal
0.1
1013
Tumor
0.1
813
Tumor
0.1
671
Tumor
0.1
873
Tumor
0.1
515
Tumor
0.1
141
Tumor
0.1
713
Tumor
0.1
517
Tumor
0.1
212
Normal
0.1
516
Normal
0.1
355
Tumor
0.1
563
Tumor
0.1
557
Tumor
0.0
192
Normal
0.0
131
Tumor
0.0
467
Tumor
0.0
852
Normal
0.0
715
Tumor
0.0
981
Tumor
0.0
951
Tumor
0.0
425
Tumor
0.0
721
Tumor
0.0
921
Tumor
0.0
976
Normal
0.0
411
Tumor
0.0
443
Tumor
0.0
224
Normal
0.0
518
Normal
0.0
474
Normal
0.0
463
Tumor
0.0
217
Tumor
0.0
213
Tumor
0.0
113
Tumor
0.0
497
Tumor
0.0
284
Normal
0.0
918
Normal
0.0
126
Normal
0.0
685
Tumor
0.0
955
Tumor
0.0
435
Tumor
0.0
1028
Normal
0.0
137
Tumor
0.0
635
Tumor
0.0
268
Normal
0.0
952
Normal
0.0
778
Normal
0.0
957
Tumor
0.0
877
Tumor
0.0
187
Tumor
-0.1
874
Normal
-0.1
161
Tumor
-0.1
716
Normal
-0.1
546
Normal
-0.1
686
Normal
-0.1
984
Normal
-0.1
191
Tumor
-0.1
743
Tumor
-0.1
816
Normal
-0.1
983
Tumor
-0.1
413
Tumor
-0.1
1044
Normal
-0.1
432
Normal
-0.1
663
Tumor
-0.1
1016
Normal
-0.1
967
Tumor
-0.1
867
Tumor
-0.1
956
Normal
-0.1
135
Tumor
-0.1
145
Tumor
-0.1
738
Normal
-0.1
367
Tumor
-0.1
785
Tumor
-0.1
1043
Tumor
-0.1
427
Tumor
-0.1
533
Tumor
-0.1
523
Tumor
-0.1
1042
Normal
-0.1
553
Tumor
-0.1
328
Normal
-0.1
926
Normal
-0.1
1041
Tumor
-0.1
528
Normal
-0.1
112
Tumor
-0.1
412
Normal
-0.1
1022
Normal
-0.1
262
Normal
-0.1
472
Normal
-0.1
494
Normal
-0.1
146
Normal
-0.1
386
Normal
-0.1
864
Normal
-0.1
364
Normal
-0.1
341
Tumor
-0.1
1026
Normal
-0.1
628
Normal
-0.1
982
Normal
-0.1
514
Normal
-0.1
127
Tumor
-0.1
858
Normal
-0.1
448
Normal
-0.1
914
Normal
-0.1
662
Normal
-0.1
665
Tumor
-0.1
416
Normal
-0.1
824
Normal
-0.1
394
Normal
-0.1
866
Normal
-0.1
958
Normal
-0.1
482
Normal
-0.1
343
Tumor
-0.1
1032
Normal
-0.2
728
Normal
-0.2
883
Tumor
-0.2
136
Normal
-0.2
911
Tumor
-0.2
228
Normal
-0.2
558
Normal
-0.2
142
Normal
-0.2
696
Normal
-0.2
924
Normal
-0.2
462
Normal
-0.2
756
Normal
-0.2
723
Tumor
-0.2
138
Normal
-0.2
863
Tumor
-0.2
968
Normal
-0.2
424
Normal
-0.2
362
Normal
-0.2
272
Normal
-0.2
477
Tumor
-0.2
356
Normal
-0.2
786
Normal
-0.2
331
Tumor
-0.2
488
Normal
-0.2
526
Normal
-0.2
878
Normal
-0.2
365
Tumor
-0.2
1014
Normal
-0.2
227
Tumor
-0.2
312
Normal
-0.2
698
Normal
-0.2
664
Normal
-0.2
882
Normal
-0.2
922
Normal
-0.2
487
Tumor
-0.2
862
Normal
-0.2
391
Tumor
-0.2
384
Normal
-0.2
332
Normal
-0.2
977
Tumor
-0.2
647
Tumor
-0.2
868
Normal
-0.2
746
Normal
-0.2
428
Normal
-0.2
938
Normal
-0.2
128
Normal
-0.2
433
Tumor
-0.2
818
Normal
-0.3
695
Tumor
-0.3
627
Tumor
-0.3
641
Tumor
-0.3
162
Normal
-0.3
714
Normal
-0.3
218
Normal
-0.3
422
Normal
-0.3
351
Tumor
-0.3
954
Normal
-0.3
172
Normal
-0.3
286
Normal
-0.3
124
Normal
-0.3
383
Tumor
-0.3
742
Normal
-0.3
313
Tumor
-0.3
741
Tumor
-0.3
123
Tumor
-0.3
111
Normal
-0.3
465
Tumor
-0.3
423
Tumor
-0.3
221
Tumor
-0.3
481
Tumor
-0.3
722
Normal
-0.3
468
Normal
-0.3
267
Tumor
-0.3
451
Tumor
-0.3
616
Normal
-0.3
915
Tumor
-0.3
484
Normal
-0.3
271
Tumor
-0.3
964
Normal
-0.3
446
Normal
-0.3
414
Normal
-0.3
114
Normal
-0.3
277
Tumor
-0.3
352
Normal
-0.3
466
Normal
-0.3
464
Normal
-0.3
196
Normal
-0.3
944
Normal
-0.3
436
Normal
-0.3
396
Normal
-0.3
534
Normal
-0.3
366
Normal
-0.3
666
Normal
-0.3
884
Normal
-0.3
278
Normal
-0.3
353
Tumor
-0.3
214
Normal
-0.3
393
Tumor
-0.3
392
Normal
-0.3
1046
Normal
-0.4
574
Normal
-0.4
554
Normal
-0.4
618
Normal
-0.4
672
Normal
-0.4
431
Tumor
-0.4
912
Normal
-0.4
148
Normal
-0.4
388
Normal
-0.4
567
Tumor
-0.4
744
Normal
-0.4
572
Normal
-0.4
298
Normal
-0.4
636
Normal
-0.4
953
Tumor
-0.4
232
Normal
-0.4
564
Normal
-0.4
344
Normal
-0.4
258
Normal
-0.4
261
Tumor
-0.4
361
Tumor
-0.4
132
Normal
-0.4
473
Tumor
-0.4
456
Normal
-0.4
642
Normal
-0.4
222
Normal
-0.4
426
Normal
-0.5
368
Normal
-0.5
354
Normal
-0.5
376
Normal
-0.5
648
Normal
-0.5
186
Normal
-0.5
568
Normal
-0.5
314
Normal
-0.5
171
Tumor
-0.5
445
Tumor
-0.5
358
Normal
-0.6
965
Tumor
-0.6
231
Tumor
-0.6
615
Tumor
-0.6
452
Normal
-0.6
357
Tumor
-0.6
342
Normal
-0.7
571
Tumor
-0.8
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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.