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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.
GPX2 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
566.4
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
4179.1
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
3903.3
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
2999.7
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
2739.0
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
2701.1
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
2553.2
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
2393.4
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
2383.3
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
2343.6
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
2301.3
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
2248.8
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
2200.0
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
2197.7
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
2177.7
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
2164.4
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
2151.2
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
2092.0
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
2062.2
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
2049.7
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
2036.0
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
2020.3
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
2017.2
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
1889.0
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
1871.6
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
1862.6
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
1819.6
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
1796.8
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
1795.9
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
1795.5
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
1730.9
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
1710.4
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
1705.1
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
1669.7
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
1648.9
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
1642.4
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
1592.9
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
1560.8
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
1530.2
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
1473.5
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
1470.6
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1451.9
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
1429.2
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
1378.8
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
1369.3
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
1354.4
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
1351.1
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
1339.2
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
1330.3
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1316.4
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
1312.0
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
1292.8
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
1267.6
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1253.6
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
1243.8
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
1229.1
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1212.4
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
1194.9
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
1189.2
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
1169.1
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
1165.3
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
1165.2
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
1158.4
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
1145.6
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
1144.5
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
1130.2
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
1123.6
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
1117.0
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
1108.6
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
1108.2
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
1087.5
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
1076.8
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1049.2
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
1023.5
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
1015.5
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1005.1
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
996.8
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
984.5
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
977.1
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
961.9
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
958.9
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
924.1
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
922.2
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
920.5
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
909.4
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
909.1
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
872.2
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
853.8
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
852.6
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
852.5
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
845.8
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
825.5
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
812.4
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
785.8
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
778.2
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
778.1
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
776.8
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
762.3
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
758.5
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
740.0
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
737.1
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
735.4
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
734.9
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
726.3
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
687.4
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
682.5
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
682.2
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
670.8
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
665.4
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
650.8
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
650.5
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
650.4
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
640.4
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
622.4
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
604.1
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
573.7
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
554.8
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
553.0
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
551.5
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
541.0
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
540.5
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
535.1
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
532.6
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
532.6
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
531.6
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
530.1
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
525.8
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
525.0
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
511.7
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
511.3
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
500.5
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
497.7
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
489.5
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
477.9
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
474.6
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
472.0
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
469.2
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
456.9
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
447.7
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
439.7
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
436.8
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
423.3
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
421.8
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
420.0
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
419.0
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
418.3
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
411.2
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
410.8
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
395.6
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
394.3
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
394.0
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
393.0
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
386.4
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
381.8
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
378.3
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
370.4
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
368.1
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
363.6
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
362.0
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
361.8
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
356.5
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
353.7
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
352.4
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
349.3
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
344.0
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
343.7
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
340.2
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
339.2
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
337.0
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
335.4
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
331.0
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
324.5
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
324.4
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
322.6
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
319.4
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
314.4
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
313.6
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
313.0
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
309.3
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
309.0
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
307.5
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
303.9
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
294.2
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
294.1
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
286.4
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
285.8
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
282.6
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
271.4
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
271.0
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
270.9
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
270.5
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
269.3
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
265.7
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
262.0
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
261.1
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
254.9
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
252.9
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
251.6
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
250.6
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
247.2
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
245.8
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
243.9
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
241.9
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
233.9
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
225.7
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
225.2
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
224.3
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
223.6
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
222.0
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
217.5
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
214.9
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
213.0
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
210.1
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
207.1
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
206.0
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
203.9
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
203.4
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
197.7
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
194.0
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
188.6
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
187.5
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
184.3
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
181.8
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
180.6
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
179.8
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
177.2
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
177.0
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
176.1
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
174.4
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
170.5
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
168.9
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
164.0
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
162.9
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
159.4
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
153.9
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
153.3
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
149.7
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
149.6
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
147.2
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
146.6
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
144.6
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
141.6
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
139.3
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
137.8
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
136.3
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
132.3
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
131.0
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
130.9
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
129.6
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
129.0
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
124.7
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
124.4
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
123.2
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
122.1
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
121.9
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
121.4
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
118.4
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
118.4
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
115.3
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
111.1
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
109.7
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
109.6
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
107.8
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
105.8
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
105.7
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
103.3
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
102.9
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
99.9
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
98.4
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
97.4
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
94.4
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
94.3
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
88.9
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
87.8
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
87.1
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
87.1
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
85.5
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
85.3
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
85.2
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
83.8
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
81.4
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
69.5
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
69.2
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
68.5
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
68.3
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
67.7
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
67.6
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
67.4
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
66.8
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
66.4
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
61.9
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
57.4
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
56.4
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
55.7
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
55.6
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
54.6
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
53.7
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
52.5
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
52.5
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
51.9
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
50.4
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
48.6
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
47.0
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
45.0
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
44.6
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
43.7
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
42.8
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
41.2
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
39.6
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
39.3
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
38.7
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
38.0
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
36.9
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
34.0
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
31.6
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
30.7
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
30.0
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
29.8
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
29.7
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
27.9
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
27.6
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
26.0
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
25.4
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
22.5
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
22.5
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
20.6
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
20.3
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
20.3
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
20.2
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
19.3
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
18.1
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
18.1
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
16.7
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
15.5
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
14.4
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
12.4
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
11.8
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
11.3
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
9.2
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
8.6
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
7.8
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
7.6
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
5.4
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
4.4
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
4.0
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
3.6
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
3.5
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
3.1
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
3.1
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
2.7
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
2.2
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
2.1
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
1.4
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
1.4
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
0.7
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
0.7
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
0.7
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
0.6
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
0.6
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
0.2
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
0.2
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 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.
GPX2 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
629.5
Number of samples
231
Samples
Sample
Description
pTPM
DO23511
83 years, female, NA, stage:3, dead, 180 days
3560.5
DO45199
86 years, female, NA, stage:2, alive, 1350 days
3190.6
DO48704
68 years, female, NA, stage:3, alive, 750 days
3109.9
DO50822
66 years, male, NA, stage:2, alive, 510 days
3023.6
DO45299
70 years, female, NA, stage:1, alive, 1440 days
2931.8
DO45267
73 years, male, NA, stage:3, dead, 570 days
2859.7
DO45257
46 years, male, NA, stage:3, alive, 810 days
2672.6
DO48700
78 years, female, NA, stage:2, alive, 810 days
2637.2
DO23526
66 years, male, NA, stage:3, alive, 1050 days
2589.1
DO45273
62 years, male, NA, stage:2, alive, 480 days
2219.1
DO23508
79 years, female, NA, stage:2, alive, 390 days
2198.5
DO48737
52 years, male, NA, stage:1, alive, 720 days
2197.2
DO50805
72 years, male, NA, stage:2, alive, 690 days
2179.1
DO23519
65 years, male, NA, stage:3, alive, 630 days
2170.0
DO50799
66 years, female, NA, stage:2, alive, 540 days
2002.5
DO50845
72 years, male, NA, stage:3, alive, 210 days
1887.5
DO50778
60 years, male, NA, stage:4, alive, 630 days
1853.4
DO48757
68 years, female, NA, stage:3, alive, 480 days
1846.5
DO45167
67 years, male, NA, stage:2, dead, 1440 days
1732.8
DO45145
78 years, male, NA, stage:3, dead, 60 days
1713.2
DO50825
70 years, male, NA, stage:2, alive, 390 days
1604.7
DO48716
71 years, male, NA, stage:2, alive, 720 days
1594.3
DO45143
69 years, male, NA, stage:3, alive, 1290 days
1561.4
DO48682
72 years, female, NA, stage:3, dead, 120 days
1530.9
DO45175
74 years, male, NA, stage:2, alive, 1140 days
1505.0
DO45269
59 years, male, NA, stage:3, alive, 750 days
1433.4
DO48761
55 years, male, NA, stage:2, alive, 870 days
1432.4
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1382.1
DO45157
62 years, male, NA, stage:2, alive, 1980 days
1364.3
DO45165
75 years, male, NA, stage:2, alive, 690 days
1333.3
DO23539
77 years, male, NA, stage:1, alive, 1110 days
1305.2
DO48697
64 years, female, NA, stage:2, dead, 810 days
1303.9
DO45092
62 years, male, NA, stage:4, dead, 1200 days
1297.3
DO45113
58 years, male, NA, stage:3, alive, 1560 days
1280.0
DO45163
76 years, male, NA, stage:2, alive, 960 days
1278.8
DO45281
83 years, male, NA, stage:4, alive, 750 days
1276.3
DO23547
74 years, male, NA, stage:1, alive, 1020 days
1266.6
DO48723
73 years, male, NA, stage:1, alive, 600 days
1227.4
DO227801
77 years, female, NA, stage:1, alive, 660 days
1202.4
DO45161
74 years, male, NA, stage:2, dead, 540 days
1194.0
DO45245
75 years, female, NA, stage:2, dead, 240 days
1152.6
DO23542
66 years, male, NA, stage:3, alive, 960 days
1151.9
DO50787
63 years, male, NA, stage:3, alive, 480 days
1088.7
DO23510
80 years, female, NA, stage:2, alive, 870 days
1075.2
DO45135
77 years, male, NA, stage:1, alive, 1410 days
1065.0
DO45279
67 years, male, NA, stage:3, alive, 1290 days
1051.6
DO23540
73 years, male, NA, stage:1, alive, 750 days
1050.8
DO45093
71 years, male, NA, stage:2, dead, 720 days
1035.1
DO50776
75 years, male, NA, stage:1, alive, 690 days
1017.6
DO45221
75 years, female, NA, stage:4, dead, 390 days
1003.6
DO45283
60 years, male, NA, stage:3, alive, 510 days
996.4
DO50774
68 years, female, NA, stage:2, alive, 720 days
982.5
DO50816
63 years, male, NA, stage:2, alive, 390 days
966.0
DO23549
74 years, male, NA, stage:3, alive, 990 days
947.4
DO48736
76 years, female, NA, stage:1, alive, 600 days
930.9
DO23509
60 years, male, NA, stage:3, dead, 780 days
930.2
DO45123
78 years, female, NA, stage:2, dead, 570 days
909.8
DO45241
49 years, male, NA, stage:1, alive, 1080 days
888.4
DO50793
76 years, male, NA, stage:4, alive, 540 days
872.3
DO45141
73 years, male, NA, stage:2, alive, 1320 days
850.9
DO45129
61 years, male, NA, stage:3, alive, 1470 days
843.6
DO45095
66 years, male, NA, stage:2, alive, 1620 days
830.3
DO23545
67 years, male, NA, stage:2, dead, 570 days
815.3
DO50806
70 years, male, NA, stage:4, alive, 540 days
810.5
DO45094
76 years, male, NA, stage:3, alive, 1650 days
799.1
DO45219
78 years, male, NA, stage:2, alive, 1080 days
789.1
DO23533
61 years, male, NA, stage:2, alive, 900 days
778.7
DO45215
65 years, male, NA, stage:2, alive, 1170 days
766.0
DO45109
63 years, male, NA, stage:2, alive, 1590 days
759.4
DO45287
74 years, male, NA, stage:1, alive, 390 days
749.9
DO45169
74 years, male, NA, stage:3, alive, 1350 days
743.5
DO45131
53 years, male, NA, stage:4, dead, 360 days
737.9
DO45277
64 years, male, NA, stage:3, alive, 600 days
736.7
DO48717
54 years, male, NA, stage:4, dead, 180 days
736.6
DO48672
81 years, male, NA, stage:2, alive, 450 days
730.0
DO48679
72 years, male, NA, stage:2, alive, 1200 days
727.6
DO23546
63 years, male, NA, stage:2, alive, 1050 days
714.5
DO48732
73 years, male, NA, stage:3, alive, 630 days
702.9
DO50814
83 years, male, NA, stage:3, alive, 420 days
701.3
DO45119
74 years, male, NA, stage:3, dead, 510 days
694.2
DO48742
76 years, male, NA, stage:2, alive, 600 days
686.1
DO45211
76 years, male, NA, stage:3, alive, 240 days
667.8
DO45253
50 years, male, NA, stage:2, alive, 870 days
657.0
DO50818
65 years, male, NA, stage:2, alive, 510 days
641.2
DO23548
78 years, female, NA, stage:1, alive, 840 days
639.4
DO48733
72 years, male, NA, stage:2, alive, 600 days
601.7
DO45205
67 years, female, NA, stage:2, dead, 90 days
594.8
DO45249
57 years, male, NA, stage:1, alive, 630 days
584.3
DO45201
49 years, male, NA, stage:1, alive, 900 days
582.3
DO45255
81 years, male, NA, stage:3, alive, 720 days
581.9
DO45103
47 years, male, NA, stage:3, alive, 450 days
577.9
DO45153
77 years, female, NA, stage:2, alive, 1380 days
573.9
DO45225
69 years, male, NA, stage:1, alive, 1050 days
564.3
DO50791
79 years, female, NA, stage:1, dead, 480 days
556.1
DO50802
49 years, male, NA, stage:2, alive, 930 days
541.8
DO45263
67 years, male, NA, stage:3, dead, 270 days
537.0
DO45139
63 years, male, NA, stage:3, alive, 1320 days
535.6
DO50803
62 years, female, NA, stage:1, alive, 540 days
520.7
DO45171
56 years, male, NA, stage:3, alive, 600 days
504.6
DO50809
56 years, male, NA, stage:3, dead, 720 days
492.8
DO50850
74 years, male, NA, stage:3, alive, 720 days
484.7
DO45243
74 years, female, NA, stage:3, alive, 930 days
482.5
DO45305
66 years, male, NA, stage:4, alive, 300 days
477.0
DO48743
69 years, female, NA, stage:2, alive, 570 days
442.9
DO45235
68 years, female, NA, stage:1, alive, 900 days
435.7
DO45251
57 years, female, NA, stage:2, alive, 900 days
421.7
DO45275
65 years, male, NA, stage:3, dead, 10 days
421.5
DO48695
77 years, male, NA, stage:2, alive, 720 days
419.0
DO45137
38 years, male, NA, stage:1, alive, 1320 days
411.5
DO23518
67 years, male, NA, stage:2, alive, 1320 days
402.4
DO23551
73 years, male, NA, stage:3, dead, 150 days
396.8
DO50785
37 years, male, NA, stage:4, dead, 90 days
394.2
DO23544
67 years, male, NA, stage:2, alive, 960 days
390.4
DO45227
57 years, female, NA, stage:2, alive, 1020 days
385.1
DO48728
74 years, female, NA, stage:2, alive, 150 days
369.5
DO23535
67 years, male, NA, stage:1, alive, 960 days
368.7
DO50811
62 years, male, NA, stage:1, alive, 450 days
360.4
DO23543
63 years, male, NA, stage:2, alive, 1020 days
356.9
DO45233
83 years, male, NA, stage:3, alive, 900 days
343.5
DO48725
66 years, male, NA, stage:1, alive, 780 days
341.3
DO23541
65 years, male, NA, stage:2, alive, 930 days
331.0
DO45117
73 years, female, NA, stage:2, dead, 1110 days
320.6
DO23521
63 years, male, NA, stage:3, alive, 1110 days
320.5
DO48720
62 years, female, NA, stage:2, alive, 570 days
320.3
DO45261
74 years, male, NA, stage:3, alive, 990 days
316.0
DO50808
68 years, male, NA, stage:2, alive, 570 days
312.5
DO45173
63 years, male, NA, stage:3, alive, 1170 days
312.0
DO45239
42 years, male, NA, stage:2, alive, 870 days
309.3
DO45115
81 years, male, NA, stage:2, alive, 840 days
299.2
DO45127
73 years, male, NA, stage:3, dead, 420 days
287.3
DO45223
67 years, male, NA, stage:4, alive, 1020 days
278.5
DO45203
71 years, female, NA, stage:2, alive, 1170 days
274.1
DO50783
62 years, male, NA, stage:3, alive, 480 days
274.1
DO23536
56 years, male, NA, stage:2, alive, 930 days
257.3
DO45289
78 years, female, NA, stage:3, alive, 360 days
247.3
DO50813
56 years, male, NA, stage:2, alive, 420 days
245.3
DO45301
56 years, male, NA, stage:2, dead, 1440 days
244.5
DO50832
73 years, male, NA, stage:3, alive, 90 days
237.2
DO45213
58 years, male, NA, stage:1, alive, 1200 days
233.1
DO45091
56 years, male, NA, stage:2, dead, 1320 days
232.7
DO45105
61 years, male, NA, stage:1, alive, 1680 days
231.1
DO50798
77 years, male, NA, stage:3, dead, 30 days
230.5
DO23512
60 years, male, NA, stage:1, alive, 1260 days
230.1
DO45097
69 years, male, NA, stage:3, alive, 1620 days
224.9
DO23515
71 years, male, NA, stage:2, alive, 1230 days
224.8
DO50819
72 years, female, NA, stage:2, alive, 510 days
214.8
DO50829
78 years, male, NA, stage:3, alive, 570 days
214.8
DO45195
62 years, male, NA, stage:1, alive, 390 days
214.4
DO45229
74 years, male, NA, stage:1, alive, 990 days
213.9
DO23527
72 years, male, NA, stage:1, alive, 1050 days
209.6
DO45099
46 years, male, NA, stage:3, alive, 1590 days
209.6
DO48751
68 years, male, NA, stage:2, dead, 480 days
202.3
DO45101
63 years, male, NA, stage:2, alive, 1680 days
201.9
DO50857
72 years, male, NA, stage:2, alive, 210 days
201.6
DO50807
67 years, male, NA, stage:1, alive, 540 days
195.1
DO45121
61 years, male, NA, stage:3, alive, 1530 days
194.2
DO48730
73 years, female, NA, stage:2, alive, 630 days
191.6
DO45159
65 years, male, NA, stage:3, alive, 1470 days
187.1
DO50804
81 years, male, NA, stage:2, alive, 720 days
181.9
DO45155
69 years, male, NA, stage:2, alive, 2160 days
176.0
DO50859
77 years, male, NA, stage:2, alive, 180 days
172.0
DO48706
72 years, male, NA, stage:2, alive, 870 days
169.1
DO45149
70 years, female, NA, stage:2, alive, 1260 days
165.6
DO45185
89 years, male, NA, stage:2, alive, 600 days
162.6
DO23532
71 years, female, NA, stage:1, alive, 960 days
156.2
DO45231
84 years, male, NA, stage:2, alive, 930 days
155.9
DO23530
53 years, male, NA, stage:4, dead, 180 days
152.9
DO50839
47 years, female, NA, stage:3, alive, 330 days
150.8
DO45247
31 years, female, NA, stage:2, alive, 210 days
140.9
DO50855
47 years, male, NA, stage:2, alive, 570 days
140.3
DO50800
74 years, male, NA, stage:2, alive, 510 days
130.1
DO227643
79 years, male, NA, stage:2, alive, 1260 days
124.8
DO23534
60 years, male, NA, stage:2, alive, 840 days
104.5
DO23516
69 years, male, NA, stage:3, dead, 20 days
103.3
DO45107
63 years, female, NA, stage:2, alive, 1710 days
102.7
DO50789
73 years, female, NA, stage:2, alive, 570 days
101.6
DO50820
77 years, female, NA, stage:3, alive, 510 days
95.4
DO23514
64 years, male, NA, stage:2, alive, 1290 days
95.0
DO48693
71 years, male, NA, stage:2, alive, 900 days
94.2
DO45179
78 years, female, NA, stage:2, alive, 600 days
92.3
DO45207
68 years, male, NA, stage:1, alive, 1050 days
90.0
DO48721
58 years, female, NA, stage:1, alive, 900 days
88.5
DO48747
62 years, male, NA, stage:3, alive, 540 days
87.8
DO45133
64 years, male, NA, stage:3, dead, 660 days
87.7
DO45181
84 years, female, NA, stage:2, alive, 1200 days
87.0
DO45183
72 years, female, NA, stage:2, dead, 570 days
85.0
DO45285
59 years, male, NA, stage:3, alive, 480 days
81.8
DO48759
73 years, male, NA, stage:3, alive, 720 days
79.4
DO50840
49 years, male, NA, stage:2, alive, 330 days
77.8
DO23550
69 years, male, NA, stage:1, alive, 990 days
74.3
DO48681
57 years, male, NA, stage:2, alive, 900 days
73.8
DO45217
69 years, female, NA, stage:3, dead, 270 days
68.9
DO23524
71 years, female, NA, stage:2, alive, 1050 days
68.2
DO45177
81 years, female, NA, stage:3, alive, 1260 days
66.9
DO23531
78 years, female, NA, stage:3, alive, 900 days
64.5
DO45191
61 years, female, NA, stage:2, alive, 1200 days
63.8
DO50817
75 years, male, NA, stage:2, alive, 390 days
62.1
DO45187
32 years, female, NA, stage:1, alive, 1260 days
60.2
DO48727
81 years, female, NA, stage:2, dead, 390 days
57.9
DO45259
65 years, male, NA, stage:3, alive, 330 days
57.1
DO48701
78 years, male, NA, stage:2, alive, 780 days
50.9
DO23529
72 years, male, NA, stage:4, alive, 930 days
49.9
DO23552
80 years, female, NA, stage:1, alive, 810 days
48.6
DO45193
68 years, female, NA, stage:4, dead, 120 days
46.6
DO48712
50 years, male, NA, stage:2, alive, 810 days
43.9
DO48674
80 years, male, NA, stage:2, alive, 1260 days
41.3
DO23517
62 years, male, NA, stage:2, alive, 1200 days
39.9
DO48741
64 years, male, NA, stage:3, alive, 240 days
36.8
DO45303
62 years, female, NA, stage:3, alive, 990 days
32.7
DO45197
51 years, male, NA, stage:2, alive, 1170 days
28.5
DO45297
61 years, female, NA, stage:4, dead, 1260 days
27.8
DO23513
76 years, male, NA, stage:3, alive, 1200 days
25.1
DO48760
70 years, female, NA, stage:2, alive, 690 days
24.9
DO48715
58 years, female, NA, stage:2, dead, 690 days
24.3
DO45307
54 years, female, NA, stage:4, dead, 240 days
22.0
DO23528
45 years, female, NA, stage:2, alive, 1020 days
20.6
DO23538
67 years, male, NA, stage:2, alive, 450 days
20.0
DO45096
69 years, male, NA, stage:2, dead, 1290 days
18.3
DO48746
76 years, male, NA, stage:3, alive, 570 days
16.2
DO45189
85 years, female, NA, stage:2, alive, 1200 days
15.6
DO45111
74 years, male, NA, stage:2, alive, 1590 days
15.6
DO45265
73 years, male, NA, stage:3, alive, 1020 days
13.4
DO50844
75 years, male, NA, stage:4, alive, 300 days
6.4
DO45237
58 years, male, NA, stage:2, alive, 900 days
5.7
DO23537
79 years, male, NA, stage:2, dead, 900 days
4.7
DO48719
80 years, male, NA, stage:2, alive, 690 days
4.4
DO45125
58 years, male, NA, stage:3, alive, 1680 days
3.9
DO48677
58 years, male, NA, stage:3, alive, 1140 days
2.1
DO50815
62 years, male, NA, stage:3, alive, 150 days
1.5
DO23523
52 years, male, NA, stage:3, alive, 1080 days
1.0
DO45209
70 years, male, NA, stage:4, alive, 1350 days
0.2
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
113
Tumor
2.7
981
Tumor
2.1
395
Tumor
1.9
724
Normal
1.8
1015
Tumor
1.7
975
Tumor
1.5
558
Normal
1.4
267
Tumor
1.4
696
Normal
1.2
191
Tumor
1.2
477
Tumor
1.1
212
Normal
1.1
745
Tumor
1.1
526
Normal
1.1
857
Tumor
1.1
721
Tumor
1.0
617
Tumor
1.0
913
Tumor
1.0
533
Tumor
0.9
286
Normal
0.9
817
Tumor
0.9
127
Tumor
0.9
525
Tumor
0.9
918
Normal
0.8
944
Normal
0.8
568
Normal
0.8
284
Normal
0.8
131
Tumor
0.8
642
Normal
0.8
353
Tumor
0.8
866
Normal
0.8
492
Normal
0.8
1028
Normal
0.7
474
Normal
0.7
567
Tumor
0.7
922
Normal
0.7
1016
Normal
0.7
514
Normal
0.7
917
Tumor
0.7
662
Normal
0.7
145
Tumor
0.7
778
Normal
0.7
414
Normal
0.7
573
Tumor
0.7
471
Tumor
0.7
926
Normal
0.6
976
Normal
0.6
564
Normal
0.6
427
Tumor
0.6
574
Normal
0.6
518
Normal
0.6
636
Normal
0.6
925
Tumor
0.6
195
Tumor
0.6
1045
Tumor
0.6
396
Normal
0.6
665
Tumor
0.6
686
Normal
0.6
916
Normal
0.5
881
Tumor
0.5
392
Normal
0.5
952
Normal
0.5
468
Normal
0.5
616
Normal
0.5
1044
Normal
0.5
911
Tumor
0.4
524
Normal
0.4
376
Normal
0.4
228
Normal
0.4
865
Tumor
0.4
852
Normal
0.4
361
Tumor
0.4
755
Tumor
0.3
494
Normal
0.3
311
Tumor
0.3
435
Tumor
0.3
1022
Normal
0.3
444
Normal
0.3
232
Normal
0.3
816
Normal
0.3
224
Normal
0.3
138
Normal
0.3
716
Normal
0.3
126
Normal
0.2
262
Normal
0.2
135
Tumor
0.2
738
Normal
0.2
114
Normal
0.2
963
Tumor
0.2
968
Normal
0.2
394
Normal
0.2
447
Tumor
0.2
278
Normal
0.2
448
Normal
0.2
864
Normal
0.2
393
Tumor
0.2
982
Normal
0.2
666
Normal
0.2
528
Normal
0.2
491
Tumor
0.2
188
Normal
0.2
672
Normal
0.2
956
Normal
0.1
1021
Tumor
0.1
954
Normal
0.1
1041
Tumor
0.1
978
Normal
0.1
756
Normal
0.1
327
Tumor
0.1
218
Normal
0.1
884
Normal
0.1
861
Tumor
0.1
424
Normal
0.1
984
Normal
0.1
483
Tumor
0.1
352
Normal
0.1
111
Normal
0.1
148
Normal
0.1
124
Normal
0.1
128
Normal
0.1
1042
Normal
0.0
648
Normal
0.0
722
Normal
0.0
362
Normal
0.0
413
Tumor
0.0
685
Tumor
0.0
368
Normal
0.0
466
Normal
0.0
546
Normal
0.0
312
Normal
0.0
136
Normal
0.0
538
Normal
0.0
723
Tumor
0.0
433
Tumor
0.0
187
Tumor
0.0
223
Tumor
0.0
823
Tumor
0.0
867
Tumor
-0.1
1026
Normal
-0.1
554
Normal
-0.1
741
Tumor
-0.1
862
Normal
-0.1
958
Normal
-0.1
386
Normal
-0.1
728
Normal
-0.1
214
Normal
-0.1
1014
Normal
-0.1
488
Normal
-0.1
498
Normal
-0.1
478
Normal
-0.1
536
Normal
-0.1
356
Normal
-0.1
258
Normal
-0.1
786
Normal
-0.2
874
Normal
-0.2
868
Normal
-0.2
272
Normal
-0.2
714
Normal
-0.2
426
Normal
-0.2
516
Normal
-0.2
422
Normal
-0.2
572
Normal
-0.2
482
Normal
-0.2
354
Normal
-0.2
391
Tumor
-0.2
966
Normal
-0.2
358
Normal
-0.2
858
Normal
-0.2
328
Normal
-0.2
618
Normal
-0.2
914
Normal
-0.2
563
Tumor
-0.2
332
Normal
-0.2
384
Normal
-0.2
344
Normal
-0.3
937
Tumor
-0.3
432
Normal
-0.3
493
Tumor
-0.3
467
Tumor
-0.3
443
Tumor
-0.3
527
Tumor
-0.3
364
Normal
-0.3
824
Normal
-0.3
271
Tumor
-0.3
1046
Normal
-0.3
231
Tumor
-0.3
1043
Tumor
-0.3
873
Tumor
-0.3
142
Normal
-0.4
664
Normal
-0.4
924
Normal
-0.4
185
Tumor
-0.4
628
Normal
-0.4
196
Normal
-0.4
446
Normal
-0.4
557
Tumor
-0.4
314
Normal
-0.4
222
Normal
-0.4
955
Tumor
-0.4
742
Normal
-0.4
147
Tumor
-0.4
473
Tumor
-0.4
436
Normal
-0.5
137
Tumor
-0.5
268
Normal
-0.5
1025
Tumor
-0.5
456
Normal
-0.5
534
Normal
-0.5
957
Tumor
-0.5
416
Normal
-0.5
423
Tumor
-0.5
698
Normal
-0.5
451
Tumor
-0.5
484
Normal
-0.5
964
Normal
-0.5
217
Tumor
-0.5
132
Normal
-0.5
192
Normal
-0.5
298
Normal
-0.6
213
Tumor
-0.6
943
Tumor
-0.6
351
Tumor
-0.6
415
Tumor
-0.6
713
Tumor
-0.6
814
Normal
-0.6
452
Normal
-0.6
1032
Normal
-0.6
472
Normal
-0.7
462
Normal
-0.7
365
Tumor
-0.7
434
Normal
-0.7
366
Normal
-0.8
877
Tumor
-0.8
671
Tumor
-0.8
412
Normal
-0.8
537
Tumor
-0.8
965
Tumor
-0.8
697
Tumor
-0.9
388
Normal
-0.9
162
Normal
-0.9
211
Tumor
-0.9
186
Normal
-0.9
146
Normal
-0.9
461
Tumor
-0.9
421
Tumor
-0.9
297
Tumor
-0.9
428
Normal
-0.9
912
Normal
-0.9
535
Tumor
-0.9
744
Normal
-0.9
938
Normal
-1.0
818
Normal
-1.0
882
Normal
-1.0
387
Tumor
-1.0
342
Normal
-1.0
341
Tumor
-1.0
445
Tumor
-1.0
1031
Tumor
-1.0
915
Tumor
-1.0
615
Tumor
-1.0
497
Tumor
-1.0
172
Normal
-1.0
221
Tumor
-1.0
715
Tumor
-1.0
746
Normal
-1.1
967
Tumor
-1.1
383
Tumor
-1.1
513
Tumor
-1.1
257
Tumor
-1.1
481
Tumor
-1.1
883
Tumor
-1.1
277
Tumor
-1.1
545
Tumor
-1.1
977
Tumor
-1.1
123
Tumor
-1.2
464
Normal
-1.2
455
Tumor
-1.2
112
Tumor
-1.2
261
Tumor
-1.2
641
Tumor
-1.3
627
Tumor
-1.3
878
Normal
-1.3
983
Tumor
-1.3
331
Tumor
-1.4
851
Tumor
-1.4
663
Tumor
-1.4
923
Tumor
-1.5
125
Tumor
-1.5
227
Tumor
-1.5
661
Tumor
-1.5
283
Tumor
-1.5
517
Tumor
-1.5
161
Tumor
-1.5
141
Tumor
-1.5
515
Tumor
-1.6
285
Tumor
-1.6
921
Tumor
-1.6
813
Tumor
-1.7
343
Tumor
-1.7
375
Tumor
-1.7
863
Tumor
-1.7
523
Tumor
-1.8
355
Tumor
-1.8
953
Tumor
-1.8
313
Tumor
-1.8
1013
Tumor
-1.8
465
Tumor
-1.8
743
Tumor
-1.8
727
Tumor
-1.9
357
Tumor
-1.9
367
Tumor
-2.0
553
Tumor
-2.0
431
Tumor
-2.0
737
Tumor
-2.0
785
Tumor
-2.0
571
Tumor
-2.0
647
Tumor
-2.1
777
Tumor
-2.1
385
Tumor
-2.2
363
Tumor
-2.2
635
Tumor
-2.3
463
Tumor
-2.3
815
Tumor
-2.3
951
Tumor
-2.3
695
Tumor
-2.4
487
Tumor
-2.4
425
Tumor
-2.5
1027
Tumor
-2.5
171
Tumor
-2.6
411
Tumor
-2.6
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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.