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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.
TIMP1 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
587.5
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
6820.5
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
3891.9
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
3579.8
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
3436.5
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
3273.9
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
2936.3
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
2487.7
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
2178.9
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
2174.7
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
2152.4
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
2107.8
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
2074.0
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
2036.4
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
2015.3
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
2007.3
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
1880.9
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
1876.2
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
1849.0
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
1796.9
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
1765.5
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
1745.3
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
1731.7
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
1704.0
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
1686.0
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1667.3
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
1654.1
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
1646.8
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
1631.4
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
1611.0
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
1578.8
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
1538.1
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
1495.6
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
1485.5
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
1462.4
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
1445.5
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
1434.1
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
1408.3
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
1383.0
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
1361.3
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
1335.9
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
1324.8
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1310.3
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
1270.3
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
1250.8
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
1247.4
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
1230.1
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
1214.3
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
1210.3
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
1205.8
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
1196.3
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
1189.5
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
1183.4
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
1173.9
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
1160.4
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1148.6
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
1134.1
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
1126.7
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
1125.5
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
1124.6
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
1123.6
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
1111.1
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
1100.0
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
1097.0
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
1075.4
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
1069.8
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
1067.3
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
1059.6
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
1054.3
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
1051.8
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
1050.9
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
1047.6
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
1016.5
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
1008.4
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1007.8
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
1001.7
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
995.0
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
968.5
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
967.3
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
965.2
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
963.9
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
963.5
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
961.5
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
951.0
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
946.4
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
940.5
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
928.5
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
925.3
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
910.9
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
875.1
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
871.0
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
866.4
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
861.2
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
818.3
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
815.0
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
805.4
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
796.3
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
795.9
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
795.1
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
790.3
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
782.5
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
770.4
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
759.8
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
748.8
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
743.3
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
741.1
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
724.3
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
718.8
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
718.5
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
706.5
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
705.4
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
696.5
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
692.4
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
686.6
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
680.0
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
677.4
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
676.4
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
665.9
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
655.1
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
654.9
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
642.3
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
632.8
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
626.5
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
620.9
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
618.2
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
596.3
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
588.5
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
585.1
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
584.5
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
584.4
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
582.8
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
582.4
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
574.5
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
568.5
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
565.9
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
564.9
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
564.7
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
559.2
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
552.8
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
542.6
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
541.3
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
540.0
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
538.7
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
537.2
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
536.6
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
516.7
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
515.3
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
508.2
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
497.6
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
493.1
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
492.7
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
489.2
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
486.5
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
485.2
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
484.9
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
480.5
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
480.3
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
461.2
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
458.4
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
458.1
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
450.9
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
450.1
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
448.5
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
447.8
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
444.2
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
441.4
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
441.1
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
440.0
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
439.6
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
431.5
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
413.4
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
413.2
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
407.7
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
390.7
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
390.4
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
388.2
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
380.2
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
378.0
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
377.0
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
368.9
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
362.4
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
362.0
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
358.1
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
357.4
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
343.2
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
343.0
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
342.0
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
340.5
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
339.9
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
338.0
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
328.5
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
327.3
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
326.8
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
319.5
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
315.5
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
314.4
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
310.8
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
300.0
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
299.0
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
295.0
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
286.2
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
283.9
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
283.0
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
275.3
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
262.8
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
261.9
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
259.8
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
257.2
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
251.9
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
245.5
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
242.9
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
242.9
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
237.9
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
235.3
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
227.7
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
226.8
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
215.1
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
214.4
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
214.3
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
213.9
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
213.6
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
205.1
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
204.8
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
202.1
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
200.8
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
199.0
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
197.6
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
197.5
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
194.9
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
192.2
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
191.6
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
189.6
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
189.1
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
188.4
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
184.7
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
184.5
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
181.2
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
180.0
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
170.8
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
168.9
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
167.7
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
166.0
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
161.4
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
161.0
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
159.1
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
152.3
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
151.3
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
150.7
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
149.0
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
148.9
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
147.9
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
144.9
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
138.8
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
137.8
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
135.6
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
135.1
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
134.1
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
132.5
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
131.0
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
121.0
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
115.3
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
114.5
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
112.8
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
110.0
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
109.8
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
103.3
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
103.2
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
103.1
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
98.5
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
91.9
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
91.8
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
91.7
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
90.4
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
90.3
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
88.2
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
87.6
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
86.3
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
84.7
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
84.6
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
82.0
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
82.0
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
81.2
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
80.3
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
79.0
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
78.4
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
74.4
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
73.7
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
70.1
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
69.7
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
69.2
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
66.4
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
65.9
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
63.3
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
62.6
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
61.9
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
61.8
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
61.4
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
61.0
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
60.9
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
60.9
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
60.8
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
60.0
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
59.9
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
59.7
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
56.4
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
56.3
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
55.6
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
53.5
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
52.4
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
50.9
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
50.6
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
50.3
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
49.4
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
48.5
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
48.2
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
47.2
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
46.6
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
45.4
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
45.2
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
45.2
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
45.2
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
44.6
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
43.2
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
42.6
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
42.4
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
41.3
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
40.2
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
37.6
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
36.7
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
36.1
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
35.6
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
33.3
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
32.9
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
31.1
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
29.6
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
29.5
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
28.6
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
27.9
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
27.9
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
27.8
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
25.8
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
25.4
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
25.2
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
24.6
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
24.5
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
23.6
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
23.3
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
19.6
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
19.3
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
19.0
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
18.7
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
18.6
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
18.1
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
15.9
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
15.8
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
15.4
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
15.1
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
13.7
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
11.2
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
9.4
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
9.2
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
9.1
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 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.
TIMP1 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
914.9
Number of samples
231
Samples
Sample
Description
pTPM
DO23547
74 years, male, NA, stage:1, alive, 1020 days
10565.0
DO48747
62 years, male, NA, stage:3, alive, 540 days
8487.0
DO50845
72 years, male, NA, stage:3, alive, 210 days
6168.3
DO48697
64 years, female, NA, stage:2, dead, 810 days
5362.7
DO45297
61 years, female, NA, stage:4, dead, 1260 days
5261.5
DO45289
78 years, female, NA, stage:3, alive, 360 days
5158.4
DO45283
60 years, male, NA, stage:3, alive, 510 days
4661.5
DO45139
63 years, male, NA, stage:3, alive, 1320 days
4405.7
DO45251
57 years, female, NA, stage:2, alive, 900 days
4175.3
DO48720
62 years, female, NA, stage:2, alive, 570 days
3745.2
DO45273
62 years, male, NA, stage:2, alive, 480 days
3652.2
DO23530
53 years, male, NA, stage:4, dead, 180 days
3377.8
DO45109
63 years, male, NA, stage:2, alive, 1590 days
3277.4
DO45301
56 years, male, NA, stage:2, dead, 1440 days
2809.6
DO45285
59 years, male, NA, stage:3, alive, 480 days
2801.0
DO50778
60 years, male, NA, stage:4, alive, 630 days
2772.5
DO45157
62 years, male, NA, stage:2, alive, 1980 days
2712.3
DO48712
50 years, male, NA, stage:2, alive, 810 days
2618.7
DO45249
57 years, male, NA, stage:1, alive, 630 days
2597.4
DO45241
49 years, male, NA, stage:1, alive, 1080 days
2594.6
DO23535
67 years, male, NA, stage:1, alive, 960 days
2572.7
DO48700
78 years, female, NA, stage:2, alive, 810 days
2567.2
DO48728
74 years, female, NA, stage:2, alive, 150 days
2492.1
DO45135
77 years, male, NA, stage:1, alive, 1410 days
2376.9
DO45279
67 years, male, NA, stage:3, alive, 1290 days
2345.2
DO45307
54 years, female, NA, stage:4, dead, 240 days
2255.1
DO50800
74 years, male, NA, stage:2, alive, 510 days
2160.2
DO45287
74 years, male, NA, stage:1, alive, 390 days
2132.1
DO45239
42 years, male, NA, stage:2, alive, 870 days
2037.6
DO50805
72 years, male, NA, stage:2, alive, 690 days
1964.8
DO45137
38 years, male, NA, stage:1, alive, 1320 days
1933.3
DO23510
80 years, female, NA, stage:2, alive, 870 days
1930.6
DO50855
47 years, male, NA, stage:2, alive, 570 days
1888.7
DO45153
77 years, female, NA, stage:2, alive, 1380 days
1832.5
DO45263
67 years, male, NA, stage:3, dead, 270 days
1707.8
DO45159
65 years, male, NA, stage:3, alive, 1470 days
1707.7
DO45177
81 years, female, NA, stage:3, alive, 1260 days
1700.2
DO45243
74 years, female, NA, stage:3, alive, 930 days
1670.3
DO45305
66 years, male, NA, stage:4, alive, 300 days
1644.3
DO50850
74 years, male, NA, stage:3, alive, 720 days
1637.7
DO45165
75 years, male, NA, stage:2, alive, 690 days
1636.5
DO45223
67 years, male, NA, stage:4, alive, 1020 days
1547.5
DO23523
52 years, male, NA, stage:3, alive, 1080 days
1539.2
DO45095
66 years, male, NA, stage:2, alive, 1620 days
1527.4
DO23526
66 years, male, NA, stage:3, alive, 1050 days
1522.2
DO45103
47 years, male, NA, stage:3, alive, 450 days
1498.3
DO45141
73 years, male, NA, stage:2, alive, 1320 days
1453.0
DO50809
56 years, male, NA, stage:3, dead, 720 days
1403.6
DO48733
72 years, male, NA, stage:2, alive, 600 days
1398.6
DO50776
75 years, male, NA, stage:1, alive, 690 days
1388.6
DO23519
65 years, male, NA, stage:3, alive, 630 days
1369.5
DO45191
61 years, female, NA, stage:2, alive, 1200 days
1349.2
DO45213
58 years, male, NA, stage:1, alive, 1200 days
1339.9
DO23515
71 years, male, NA, stage:2, alive, 1230 days
1332.4
DO45231
84 years, male, NA, stage:2, alive, 930 days
1332.1
DO45277
64 years, male, NA, stage:3, alive, 600 days
1305.8
DO45233
83 years, male, NA, stage:3, alive, 900 days
1268.1
DO50791
79 years, female, NA, stage:1, dead, 480 days
1267.3
DO227801
77 years, female, NA, stage:1, alive, 660 days
1251.1
DO45207
68 years, male, NA, stage:1, alive, 1050 days
1239.8
DO45275
65 years, male, NA, stage:3, dead, 10 days
1235.7
DO48736
76 years, female, NA, stage:1, alive, 600 days
1224.7
DO48743
69 years, female, NA, stage:2, alive, 570 days
1208.2
DO45229
74 years, male, NA, stage:1, alive, 990 days
1152.6
DO45245
75 years, female, NA, stage:2, dead, 240 days
1123.0
DO45189
85 years, female, NA, stage:2, alive, 1200 days
1119.5
DO45281
83 years, male, NA, stage:4, alive, 750 days
1115.6
DO45143
69 years, male, NA, stage:3, alive, 1290 days
1093.0
DO50774
68 years, female, NA, stage:2, alive, 720 days
1091.2
DO45225
69 years, male, NA, stage:1, alive, 1050 days
1077.2
DO45155
69 years, male, NA, stage:2, alive, 2160 days
1035.1
DO45205
67 years, female, NA, stage:2, dead, 90 days
1024.5
DO45185
89 years, male, NA, stage:2, alive, 600 days
1024.0
DO48737
52 years, male, NA, stage:1, alive, 720 days
994.2
DO45299
70 years, female, NA, stage:1, alive, 1440 days
985.1
DO48717
54 years, male, NA, stage:4, dead, 180 days
972.0
DO50819
72 years, female, NA, stage:2, alive, 510 days
936.3
DO48725
66 years, male, NA, stage:1, alive, 780 days
921.3
DO45092
62 years, male, NA, stage:4, dead, 1200 days
919.6
DO23548
78 years, female, NA, stage:1, alive, 840 days
912.4
DO45303
62 years, female, NA, stage:3, alive, 990 days
882.4
DO50808
68 years, male, NA, stage:2, alive, 570 days
835.3
DO23544
67 years, male, NA, stage:2, alive, 960 days
828.8
DO23551
73 years, male, NA, stage:3, dead, 150 days
818.3
DO48761
55 years, male, NA, stage:2, alive, 870 days
795.6
DO45219
78 years, male, NA, stage:2, alive, 1080 days
787.4
DO45183
72 years, female, NA, stage:2, dead, 570 days
786.8
DO23546
63 years, male, NA, stage:2, alive, 1050 days
752.5
DO48693
71 years, male, NA, stage:2, alive, 900 days
684.5
DO23527
72 years, male, NA, stage:1, alive, 1050 days
663.8
DO50803
62 years, female, NA, stage:1, alive, 540 days
657.2
DO45235
68 years, female, NA, stage:1, alive, 900 days
641.3
DO50829
78 years, male, NA, stage:3, alive, 570 days
608.8
DO48759
73 years, male, NA, stage:3, alive, 720 days
587.4
DO45201
49 years, male, NA, stage:1, alive, 900 days
577.6
DO23541
65 years, male, NA, stage:2, alive, 930 days
572.9
DO48704
68 years, female, NA, stage:3, alive, 750 days
547.1
DO48730
73 years, female, NA, stage:2, alive, 630 days
541.8
DO48732
73 years, male, NA, stage:3, alive, 630 days
537.6
DO23524
71 years, female, NA, stage:2, alive, 1050 days
531.5
DO45181
84 years, female, NA, stage:2, alive, 1200 days
528.0
DO48701
78 years, male, NA, stage:2, alive, 780 days
518.4
DO45261
74 years, male, NA, stage:3, alive, 990 days
498.3
DO45269
59 years, male, NA, stage:3, alive, 750 days
491.0
DO45253
50 years, male, NA, stage:2, alive, 870 days
451.6
DO23540
73 years, male, NA, stage:1, alive, 750 days
443.8
DO45195
62 years, male, NA, stage:1, alive, 390 days
442.4
DO45179
78 years, female, NA, stage:2, alive, 600 days
437.6
DO48679
72 years, male, NA, stage:2, alive, 1200 days
431.1
DO48682
72 years, female, NA, stage:3, dead, 120 days
421.8
DO23543
63 years, male, NA, stage:2, alive, 1020 days
405.5
DO45169
74 years, male, NA, stage:3, alive, 1350 days
395.1
DO45121
61 years, male, NA, stage:3, alive, 1530 days
386.3
DO50806
70 years, male, NA, stage:4, alive, 540 days
380.8
DO45099
46 years, male, NA, stage:3, alive, 1590 days
377.7
DO45257
46 years, male, NA, stage:3, alive, 810 days
351.3
DO48742
76 years, male, NA, stage:2, alive, 600 days
343.7
DO23531
78 years, female, NA, stage:3, alive, 900 days
332.2
DO45197
51 years, male, NA, stage:2, alive, 1170 days
317.5
DO23518
67 years, male, NA, stage:2, alive, 1320 days
308.6
DO48716
71 years, male, NA, stage:2, alive, 720 days
295.9
DO45203
71 years, female, NA, stage:2, alive, 1170 days
295.0
DO45123
78 years, female, NA, stage:2, dead, 570 days
288.1
DO50793
76 years, male, NA, stage:4, alive, 540 days
285.0
DO23514
64 years, male, NA, stage:2, alive, 1290 days
278.4
DO45127
73 years, male, NA, stage:3, dead, 420 days
276.2
DO48760
70 years, female, NA, stage:2, alive, 690 days
276.0
DO50820
77 years, female, NA, stage:3, alive, 510 days
273.0
DO23545
67 years, male, NA, stage:2, dead, 570 days
266.7
DO45187
32 years, female, NA, stage:1, alive, 1260 days
265.3
DO45267
73 years, male, NA, stage:3, dead, 570 days
265.0
DO48751
68 years, male, NA, stage:2, dead, 480 days
260.4
DO45161
74 years, male, NA, stage:2, dead, 540 days
256.0
DO45094
76 years, male, NA, stage:3, alive, 1650 days
254.1
DO50787
63 years, male, NA, stage:3, alive, 480 days
251.5
DO45125
58 years, male, NA, stage:3, alive, 1680 days
250.4
DO50813
56 years, male, NA, stage:2, alive, 420 days
234.6
DO45259
65 years, male, NA, stage:3, alive, 330 days
234.2
DO50798
77 years, male, NA, stage:3, dead, 30 days
221.5
DO23525
71 years, male, NA, stage:4, alive, 1050 days
221.0
DO45115
81 years, male, NA, stage:2, alive, 840 days
218.5
DO45173
63 years, male, NA, stage:3, alive, 1170 days
213.6
DO23550
69 years, male, NA, stage:1, alive, 990 days
212.8
DO45101
63 years, male, NA, stage:2, alive, 1680 days
204.7
DO45265
73 years, male, NA, stage:3, alive, 1020 days
189.8
DO45221
75 years, female, NA, stage:4, dead, 390 days
187.0
DO23536
56 years, male, NA, stage:2, alive, 930 days
182.3
DO45119
74 years, male, NA, stage:3, dead, 510 days
182.2
DO45209
70 years, male, NA, stage:4, alive, 1350 days
181.0
DO48723
73 years, male, NA, stage:1, alive, 600 days
179.2
DO45211
76 years, male, NA, stage:3, alive, 240 days
171.1
DO45096
69 years, male, NA, stage:2, dead, 1290 days
169.2
DO45217
69 years, female, NA, stage:3, dead, 270 days
166.4
DO45215
65 years, male, NA, stage:2, alive, 1170 days
165.9
DO48674
80 years, male, NA, stage:2, alive, 1260 days
153.1
DO50802
49 years, male, NA, stage:2, alive, 930 days
142.8
DO227643
79 years, male, NA, stage:2, alive, 1260 days
138.5
DO50840
49 years, male, NA, stage:2, alive, 330 days
136.0
DO50818
65 years, male, NA, stage:2, alive, 510 days
134.3
DO50785
37 years, male, NA, stage:4, dead, 90 days
133.2
DO23517
62 years, male, NA, stage:2, alive, 1200 days
128.9
DO45091
56 years, male, NA, stage:2, dead, 1320 days
125.8
DO23509
60 years, male, NA, stage:3, dead, 780 days
125.0
DO48672
81 years, male, NA, stage:2, alive, 450 days
123.9
DO45247
31 years, female, NA, stage:2, alive, 210 days
115.3
DO23512
60 years, male, NA, stage:1, alive, 1260 days
109.4
DO23528
45 years, female, NA, stage:2, alive, 1020 days
109.0
DO23538
67 years, male, NA, stage:2, alive, 450 days
105.6
DO45145
78 years, male, NA, stage:3, dead, 60 days
97.5
DO45111
74 years, male, NA, stage:2, alive, 1590 days
94.9
DO23537
79 years, male, NA, stage:2, dead, 900 days
92.7
DO48741
64 years, male, NA, stage:3, alive, 240 days
91.7
DO45149
70 years, female, NA, stage:2, alive, 1260 days
91.6
DO45199
86 years, female, NA, stage:2, alive, 1350 days
89.5
DO50815
62 years, male, NA, stage:3, alive, 150 days
88.4
DO50804
81 years, male, NA, stage:2, alive, 720 days
87.4
DO50807
67 years, male, NA, stage:1, alive, 540 days
87.0
DO45171
56 years, male, NA, stage:3, alive, 600 days
86.5
DO23532
71 years, female, NA, stage:1, alive, 960 days
80.5
DO23549
74 years, male, NA, stage:3, alive, 990 days
79.5
DO50816
63 years, male, NA, stage:2, alive, 390 days
74.7
DO45167
67 years, male, NA, stage:2, dead, 1440 days
74.2
DO50857
72 years, male, NA, stage:2, alive, 210 days
70.7
DO50839
47 years, female, NA, stage:3, alive, 330 days
70.0
DO23539
77 years, male, NA, stage:1, alive, 1110 days
63.3
DO45107
63 years, female, NA, stage:2, alive, 1710 days
62.1
DO48677
58 years, male, NA, stage:3, alive, 1140 days
61.3
DO48715
58 years, female, NA, stage:2, dead, 690 days
60.9
DO50822
66 years, male, NA, stage:2, alive, 510 days
60.8
DO50789
73 years, female, NA, stage:2, alive, 570 days
59.6
DO23529
72 years, male, NA, stage:4, alive, 930 days
58.5
DO45093
71 years, male, NA, stage:2, dead, 720 days
57.2
DO48721
58 years, female, NA, stage:1, alive, 900 days
52.7
DO50814
83 years, male, NA, stage:3, alive, 420 days
51.7
DO45227
57 years, female, NA, stage:2, alive, 1020 days
50.9
DO50844
75 years, male, NA, stage:4, alive, 300 days
50.9
DO50825
70 years, male, NA, stage:2, alive, 390 days
45.6
DO50799
66 years, female, NA, stage:2, alive, 540 days
44.1
DO23508
79 years, female, NA, stage:2, alive, 390 days
43.4
DO48695
77 years, male, NA, stage:2, alive, 720 days
42.0
DO45255
81 years, male, NA, stage:3, alive, 720 days
40.3
DO48719
80 years, male, NA, stage:2, alive, 690 days
40.1
DO45117
73 years, female, NA, stage:2, dead, 1110 days
37.4
DO23542
66 years, male, NA, stage:3, alive, 960 days
36.1
DO45105
61 years, male, NA, stage:1, alive, 1680 days
34.9
DO45131
53 years, male, NA, stage:4, dead, 360 days
33.3
DO23552
80 years, female, NA, stage:1, alive, 810 days
31.8
DO23533
61 years, male, NA, stage:2, alive, 900 days
31.3
DO50811
62 years, male, NA, stage:1, alive, 450 days
30.9
DO23521
63 years, male, NA, stage:3, alive, 1110 days
30.7
DO45113
58 years, male, NA, stage:3, alive, 1560 days
30.2
DO45193
68 years, female, NA, stage:4, dead, 120 days
25.8
DO23534
60 years, male, NA, stage:2, alive, 840 days
25.4
DO48757
68 years, female, NA, stage:3, alive, 480 days
25.3
DO50817
75 years, male, NA, stage:2, alive, 390 days
23.4
DO45129
61 years, male, NA, stage:3, alive, 1470 days
21.7
DO45133
64 years, male, NA, stage:3, dead, 660 days
20.5
DO23516
69 years, male, NA, stage:3, dead, 20 days
20.1
DO48681
57 years, male, NA, stage:2, alive, 900 days
17.8
DO50783
62 years, male, NA, stage:3, alive, 480 days
16.8
DO45097
69 years, male, NA, stage:3, alive, 1620 days
14.3
DO50859
77 years, male, NA, stage:2, alive, 180 days
13.8
DO48727
81 years, female, NA, stage:2, dead, 390 days
12.0
DO48746
76 years, male, NA, stage:3, alive, 570 days
12.0
DO23513
76 years, male, NA, stage:3, alive, 1200 days
9.7
DO48706
72 years, male, NA, stage:2, alive, 870 days
9.7
DO23511
83 years, female, NA, stage:3, dead, 180 days
9.5
DO45237
58 years, male, NA, stage:2, alive, 900 days
8.1
DO45175
74 years, male, NA, stage:2, alive, 1140 days
5.5
DO50832
73 years, male, NA, stage:3, alive, 90 days
5.4
DO45163
76 years, male, NA, stage:2, alive, 960 days
3.4
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
877
Tumor
2.7
343
Tumor
2.0
311
Tumor
1.8
917
Tumor
1.8
671
Tumor
1.7
217
Tumor
1.7
813
Tumor
1.6
943
Tumor
1.6
455
Tumor
1.5
383
Tumor
1.4
713
Tumor
1.4
535
Tumor
1.4
223
Tumor
1.4
213
Tumor
1.3
975
Tumor
1.3
697
Tumor
1.2
817
Tumor
1.2
211
Tumor
1.2
355
Tumor
1.2
375
Tumor
1.2
881
Tumor
1.2
421
Tumor
1.1
617
Tumor
1.1
491
Tumor
1.1
814
Normal
1.1
545
Tumor
1.0
447
Tumor
1.0
187
Tumor
0.9
536
Normal
0.9
297
Tumor
0.9
983
Tumor
0.8
385
Tumor
0.8
135
Tumor
0.8
497
Tumor
0.8
141
Tumor
0.8
563
Tumor
0.8
395
Tumor
0.7
715
Tumor
0.7
331
Tumor
0.7
191
Tumor
0.7
185
Tumor
0.7
283
Tumor
0.6
365
Tumor
0.6
433
Tumor
0.5
823
Tumor
0.5
923
Tumor
0.5
483
Tumor
0.5
471
Tumor
0.4
137
Tumor
0.4
427
Tumor
0.4
883
Tumor
0.4
492
Normal
0.4
527
Tumor
0.4
367
Tumor
0.4
145
Tumor
0.4
963
Tumor
0.4
444
Normal
0.3
857
Tumor
0.3
195
Tumor
0.2
277
Tumor
0.2
861
Tumor
0.2
515
Tumor
0.2
161
Tumor
0.2
685
Tumor
0.2
525
Tumor
0.2
498
Normal
0.2
557
Tumor
0.2
863
Tumor
0.2
538
Normal
0.2
493
Tumor
0.2
391
Tumor
0.1
641
Tumor
0.1
745
Tumor
0.1
284
Normal
0.1
467
Tumor
0.1
921
Tumor
0.1
1045
Tumor
0.1
721
Tumor
0.1
672
Normal
0.1
384
Normal
0.0
224
Normal
0.0
913
Tumor
0.0
415
Tumor
0.0
463
Tumor
0.0
523
Tumor
0.0
361
Tumor
0.0
387
Tumor
0.0
528
Normal
0.0
546
Normal
-0.1
852
Normal
-0.1
364
Normal
-0.1
368
Normal
-0.1
517
Tumor
-0.1
332
Normal
-0.1
816
Normal
-0.1
366
Normal
-0.1
228
Normal
-0.1
286
Normal
-0.1
363
Tumor
-0.1
376
Normal
-0.2
722
Normal
-0.2
815
Tumor
-0.2
982
Normal
-0.2
413
Tumor
-0.2
416
Normal
-0.2
1015
Tumor
-0.2
851
Tumor
-0.2
354
Normal
-0.2
665
Tumor
-0.2
818
Normal
-0.2
686
Normal
-0.2
212
Normal
-0.2
696
Normal
-0.2
484
Normal
-0.2
125
Tumor
-0.2
858
Normal
-0.2
824
Normal
-0.2
342
Normal
-0.2
392
Normal
-0.2
192
Normal
-0.2
314
Normal
-0.2
925
Tumor
-0.2
488
Normal
-0.2
328
Normal
-0.2
344
Normal
-0.2
478
Normal
-0.3
268
Normal
-0.3
636
Normal
-0.3
422
Normal
-0.3
534
Normal
-0.3
341
Tumor
-0.3
524
Normal
-0.3
352
Normal
-0.3
494
Normal
-0.3
386
Normal
-0.3
916
Normal
-0.3
394
Normal
-0.3
388
Normal
-0.3
227
Tumor
-0.3
358
Normal
-0.3
1044
Normal
-0.3
434
Normal
-0.3
573
Tumor
-0.3
716
Normal
-0.3
1028
Normal
-0.3
396
Normal
-0.3
278
Normal
-0.3
312
Normal
-0.3
953
Tumor
-0.4
976
Normal
-0.4
146
Normal
-0.4
984
Normal
-0.4
951
Tumor
-0.4
353
Tumor
-0.4
362
Normal
-0.4
615
Tumor
-0.4
618
Normal
-0.4
425
Tumor
-0.4
661
Tumor
-0.4
327
Tumor
-0.4
785
Tumor
-0.4
298
Normal
-0.4
113
Tumor
-0.4
356
Normal
-0.4
443
Tumor
-0.4
616
Normal
-0.4
912
Normal
-0.4
526
Normal
-0.4
666
Normal
-0.4
142
Normal
-0.5
214
Normal
-0.5
1026
Normal
-0.5
412
Normal
-0.5
778
Normal
-0.5
756
Normal
-0.5
628
Normal
-0.5
313
Tumor
-0.5
513
Tumor
-0.5
642
Normal
-0.5
452
Normal
-0.5
445
Tumor
-0.5
514
Normal
-0.5
664
Normal
-0.5
978
Normal
-0.5
724
Normal
-0.5
695
Tumor
-0.5
448
Normal
-0.5
878
Normal
-0.5
516
Normal
-0.5
1025
Tumor
-0.5
914
Normal
-0.5
1043
Tumor
-0.5
714
Normal
-0.5
466
Normal
-0.5
188
Normal
-0.5
966
Normal
-0.5
1014
Normal
-0.5
627
Tumor
-0.5
468
Normal
-0.5
882
Normal
-0.5
1031
Tumor
-0.5
554
Normal
-0.5
285
Tumor
-0.5
662
Normal
-0.5
1016
Normal
-0.5
518
Normal
-0.5
635
Tumor
-0.6
393
Tumor
-0.6
487
Tumor
-0.6
957
Tumor
-0.6
558
Normal
-0.6
786
Normal
-0.6
884
Normal
-0.6
981
Tumor
-0.6
737
Tumor
-0.6
474
Normal
-0.6
431
Tumor
-0.6
186
Normal
-0.6
647
Tumor
-0.6
424
Normal
-0.6
138
Normal
-0.6
432
Normal
-0.6
755
Tumor
-0.7
124
Normal
-0.7
862
Normal
-0.7
446
Normal
-0.7
262
Normal
-0.7
537
Tumor
-0.7
465
Tumor
-0.7
148
Normal
-0.7
218
Normal
-0.7
456
Normal
-0.7
911
Tumor
-0.7
414
Normal
-0.7
351
Tumor
-0.7
865
Tumor
-0.7
648
Normal
-0.7
867
Tumor
-0.7
663
Tumor
-0.7
1013
Tumor
-0.7
426
Normal
-0.7
746
Normal
-0.7
477
Tumor
-0.7
126
Normal
-0.7
461
Tumor
-0.7
553
Tumor
-0.7
873
Tumor
-0.7
482
Normal
-0.7
428
Normal
-0.7
572
Normal
-0.7
147
Tumor
-0.8
162
Normal
-0.8
977
Tumor
-0.8
1032
Normal
-0.8
473
Tumor
-0.8
868
Normal
-0.8
196
Normal
-0.8
451
Tumor
-0.8
864
Normal
-0.8
222
Normal
-0.8
221
Tumor
-0.8
777
Tumor
-0.8
472
Normal
-0.8
464
Normal
-0.8
1042
Normal
-0.8
954
Normal
-0.8
574
Normal
-0.8
874
Normal
-0.8
952
Normal
-0.8
411
Tumor
-0.9
1046
Normal
-0.9
698
Normal
-0.9
564
Normal
-0.9
436
Normal
-0.9
956
Normal
-0.9
567
Tumor
-0.9
132
Normal
-0.9
968
Normal
-0.9
918
Normal
-0.9
172
Normal
-0.9
136
Normal
-1.0
866
Normal
-1.0
937
Tumor
-1.0
1041
Tumor
-1.0
958
Normal
-1.0
481
Tumor
-1.0
357
Tumor
-1.0
462
Normal
-1.0
171
Tumor
-1.0
743
Tumor
-1.0
922
Normal
-1.0
568
Normal
-1.0
924
Normal
-1.0
114
Normal
-1.1
423
Tumor
-1.1
1021
Tumor
-1.1
938
Normal
-1.1
964
Normal
-1.1
128
Normal
-1.1
1022
Normal
-1.1
111
Normal
-1.1
533
Tumor
-1.1
1027
Tumor
-1.1
131
Tumor
-1.1
965
Tumor
-1.2
267
Tumor
-1.2
926
Normal
-1.2
944
Normal
-1.2
232
Normal
-1.2
112
Tumor
-1.2
955
Tumor
-1.3
272
Normal
-1.3
127
Tumor
-1.3
967
Tumor
-1.3
915
Tumor
-1.3
261
Tumor
-1.3
571
Tumor
-1.4
723
Tumor
-1.5
258
Normal
-1.5
271
Tumor
-1.5
435
Tumor
-1.5
123
Tumor
-1.6
738
Normal
-1.6
744
Normal
-1.7
231
Tumor
-1.7
257
Tumor
-1.8
742
Normal
-1.9
741
Tumor
-2.0
728
Normal
-2.2
727
Tumor
-2.4
Show allShow less
LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.