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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.
NME2 is validated prognostic, high expression is unfavorable in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 1.63
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.00049
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.
35%
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.
57%
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
570.4
Number of samples
362
Samples
Sample
Description
TPM
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
2134.4
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
1805.1
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
1778.8
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
1680.8
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
1593.5
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
1565.6
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
1549.7
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
1480.6
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
1455.9
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
1436.8
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
1431.6
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
1394.4
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
1385.9
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
1383.9
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
1371.7
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
1293.1
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
1276.2
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
1271.2
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1267.1
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
1188.0
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
1186.1
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
1176.8
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
1174.5
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
1172.3
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
1167.4
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
1109.6
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
1102.8
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
1091.5
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
1085.1
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
1062.8
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
1054.6
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
1035.3
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
1020.1
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
997.1
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
996.3
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
991.5
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
973.0
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
972.6
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
926.7
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
921.0
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
907.4
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
900.9
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
893.6
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
891.8
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
882.2
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
879.0
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
860.7
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
856.2
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
852.9
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
842.8
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
840.8
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
822.7
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
821.3
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
819.3
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
816.5
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
811.5
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
810.3
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
805.9
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
797.4
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
795.6
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
795.3
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
791.9
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
784.5
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
784.3
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
774.6
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
773.4
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
767.1
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
764.7
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
763.7
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
763.3
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
762.8
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
762.4
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
759.8
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
756.5
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
753.9
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
749.2
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
747.1
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
745.9
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
742.7
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
740.7
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
739.4
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
739.4
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
722.9
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
715.6
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
715.4
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
707.7
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
704.0
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
702.2
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
701.2
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
686.4
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
685.9
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
675.7
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
670.4
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
669.1
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
667.5
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
666.3
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
665.9
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
665.7
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
664.9
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
664.3
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
664.0
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
660.8
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
655.1
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
654.8
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
651.0
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
651.0
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
650.7
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
649.7
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
645.4
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
645.3
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
644.9
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
641.6
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
640.0
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
635.4
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
634.2
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
633.0
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
632.8
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
629.1
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
628.7
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
626.0
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
625.9
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
620.4
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
618.4
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
616.7
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
614.5
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
610.1
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
608.8
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
605.4
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
602.7
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
591.7
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
588.5
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
585.8
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
585.4
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
577.3
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
576.2
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
575.5
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
572.4
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
567.5
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
567.2
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
563.5
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
562.8
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
561.4
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
557.6
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
557.5
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
556.3
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
555.9
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
548.3
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
545.6
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
545.3
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
545.3
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
543.1
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
542.9
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
542.8
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
540.9
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
539.9
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
538.0
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
535.2
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
530.7
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
528.9
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
525.3
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
521.6
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
519.4
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
518.4
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
518.3
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
515.3
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
513.9
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
513.8
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
510.9
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
507.2
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
504.7
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
500.2
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
498.2
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
496.7
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
494.1
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
491.6
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
491.6
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
490.6
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
490.3
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
489.7
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
487.5
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
485.6
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
484.1
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
484.0
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
483.6
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
480.3
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
476.5
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
476.3
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
474.2
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
473.0
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
471.7
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
466.8
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
465.2
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
465.2
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
464.9
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
464.6
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
460.6
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
456.4
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
455.6
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
452.8
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
452.2
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
449.2
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
449.1
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
448.7
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
448.5
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
448.2
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
445.5
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
442.5
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
441.5
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
439.7
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
439.0
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
438.9
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
437.4
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
437.2
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
436.7
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
436.3
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
433.9
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
432.5
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
432.5
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
431.5
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
431.3
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
430.7
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
430.0
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
429.8
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
428.2
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
427.9
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
426.3
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
425.4
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
424.8
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
423.7
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
421.0
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
418.2
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
417.1
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
415.6
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
411.2
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
409.1
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
403.7
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
403.7
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
403.3
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
401.2
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
400.7
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
399.8
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
399.4
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
398.7
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
398.5
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
397.6
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
397.3
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
395.5
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
394.5
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
392.1
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
391.7
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
389.5
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
388.5
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
387.2
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
386.7
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
386.2
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
384.4
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
383.2
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
379.4
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
379.0
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
376.8
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
375.7
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
375.2
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
373.3
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
368.9
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
367.6
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
367.1
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
365.4
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
365.1
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
363.2
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
362.2
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
361.5
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
361.2
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
360.7
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
360.3
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
359.2
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
358.5
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
358.4
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
357.7
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
357.2
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
356.0
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
351.1
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
349.9
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
348.7
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
348.6
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
348.5
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
347.1
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
346.3
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
344.6
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
344.1
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
343.4
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
341.8
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
341.2
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
338.9
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
335.7
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
335.4
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
333.5
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
333.3
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
331.2
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
331.1
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
329.2
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
327.4
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
317.5
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
315.4
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
314.0
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
313.2
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
311.2
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
309.0
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
308.0
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
307.6
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
305.2
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
302.6
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
302.5
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
302.4
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
298.2
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
293.0
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
292.6
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
292.2
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
286.1
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
279.5
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
276.5
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
276.0
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
275.7
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
273.8
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
269.0
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
266.8
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
266.4
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
265.2
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
263.5
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
258.2
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
257.2
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
255.4
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
252.9
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
251.5
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
249.0
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
246.4
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
246.1
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
245.7
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
240.5
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
239.6
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
239.1
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
234.5
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
230.2
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
229.9
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
226.9
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
226.3
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
218.9
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
213.1
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
211.5
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
209.2
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
203.9
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
199.5
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
196.6
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
194.4
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
194.1
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
183.3
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
178.3
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
153.6
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
151.7
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
136.9
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
132.4
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
131.0
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 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.
NME2 is validated prognostic, high expression is unfavorable 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.
: 2.14
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.000010
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.
52%
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.
0%
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
425.3
Number of samples
231
Samples
Sample
Description
TPM
DO45161
74 years, male, NA, stage:2, dead, 540 days
1890.0
DO45093
71 years, male, NA, stage:2, dead, 720 days
1557.1
DO23519
65 years, male, NA, stage:3, alive, 630 days
1488.9
DO45285
59 years, male, NA, stage:3, alive, 480 days
1408.1
DO45307
54 years, female, NA, stage:4, dead, 240 days
1383.7
DO50814
83 years, male, NA, stage:3, alive, 420 days
1129.4
DO45275
65 years, male, NA, stage:3, dead, 10 days
1087.7
DO45303
62 years, female, NA, stage:3, alive, 990 days
1029.4
DO50785
37 years, male, NA, stage:4, dead, 90 days
1025.7
DO48747
62 years, male, NA, stage:3, alive, 540 days
1014.9
DO48741
64 years, male, NA, stage:3, alive, 240 days
984.4
DO50806
70 years, male, NA, stage:4, alive, 540 days
968.3
DO45245
75 years, female, NA, stage:2, dead, 240 days
924.4
DO45211
76 years, male, NA, stage:3, alive, 240 days
922.4
DO45269
59 years, male, NA, stage:3, alive, 750 days
908.6
DO45299
70 years, female, NA, stage:1, alive, 1440 days
862.2
DO45119
74 years, male, NA, stage:3, dead, 510 days
848.7
DO45283
60 years, male, NA, stage:3, alive, 510 days
830.9
DO23508
79 years, female, NA, stage:2, alive, 390 days
824.0
DO50829
78 years, male, NA, stage:3, alive, 570 days
798.2
DO45301
56 years, male, NA, stage:2, dead, 1440 days
790.1
DO45145
78 years, male, NA, stage:3, dead, 60 days
782.7
DO45297
61 years, female, NA, stage:4, dead, 1260 days
753.7
DO50813
56 years, male, NA, stage:2, alive, 420 days
741.0
DO23533
61 years, male, NA, stage:2, alive, 900 days
716.7
DO45305
66 years, male, NA, stage:4, alive, 300 days
716.4
DO45289
78 years, female, NA, stage:3, alive, 360 days
694.1
DO48759
73 years, male, NA, stage:3, alive, 720 days
690.2
DO50809
56 years, male, NA, stage:3, dead, 720 days
675.8
DO23526
66 years, male, NA, stage:3, alive, 1050 days
674.0
DO23515
71 years, male, NA, stage:2, alive, 1230 days
657.5
DO45092
62 years, male, NA, stage:4, dead, 1200 days
650.1
DO23525
71 years, male, NA, stage:4, alive, 1050 days
650.0
DO48672
81 years, male, NA, stage:2, alive, 450 days
647.1
DO45251
57 years, female, NA, stage:2, alive, 900 days
641.2
DO48723
73 years, male, NA, stage:1, alive, 600 days
632.5
DO45273
62 years, male, NA, stage:2, alive, 480 days
631.7
DO45097
69 years, male, NA, stage:3, alive, 1620 days
627.7
DO45149
70 years, female, NA, stage:2, alive, 1260 days
624.9
DO45259
65 years, male, NA, stage:3, alive, 330 days
617.7
DO48682
72 years, female, NA, stage:3, dead, 120 days
611.5
DO45175
74 years, male, NA, stage:2, alive, 1140 days
607.4
DO45209
70 years, male, NA, stage:4, alive, 1350 days
594.7
DO45281
83 years, male, NA, stage:4, alive, 750 days
583.6
DO50778
60 years, male, NA, stage:4, alive, 630 days
578.6
DO45277
64 years, male, NA, stage:3, alive, 600 days
577.9
DO45155
69 years, male, NA, stage:2, alive, 2160 days
575.0
DO45139
63 years, male, NA, stage:3, alive, 1320 days
572.4
DO48720
62 years, female, NA, stage:2, alive, 570 days
572.1
DO45123
78 years, female, NA, stage:2, dead, 570 days
563.7
DO48697
64 years, female, NA, stage:2, dead, 810 days
561.3
DO45131
53 years, male, NA, stage:4, dead, 360 days
554.9
DO50798
77 years, male, NA, stage:3, dead, 30 days
549.9
DO48704
68 years, female, NA, stage:3, alive, 750 days
537.8
DO48730
73 years, female, NA, stage:2, alive, 630 days
528.7
DO23545
67 years, male, NA, stage:2, dead, 570 days
525.6
DO45143
69 years, male, NA, stage:3, alive, 1290 days
523.1
DO50839
47 years, female, NA, stage:3, alive, 330 days
517.8
DO45279
67 years, male, NA, stage:3, alive, 1290 days
516.5
DO45267
73 years, male, NA, stage:3, dead, 570 days
510.0
DO45163
76 years, male, NA, stage:2, alive, 960 days
504.9
DO45169
74 years, male, NA, stage:3, alive, 1350 days
499.4
DO50805
72 years, male, NA, stage:2, alive, 690 days
496.5
DO23516
69 years, male, NA, stage:3, dead, 20 days
495.0
DO45221
75 years, female, NA, stage:4, dead, 390 days
493.6
DO50825
70 years, male, NA, stage:2, alive, 390 days
492.1
DO48737
52 years, male, NA, stage:1, alive, 720 days
489.9
DO23540
73 years, male, NA, stage:1, alive, 750 days
489.6
DO45217
69 years, female, NA, stage:3, dead, 270 days
484.1
DO45103
47 years, male, NA, stage:3, alive, 450 days
480.9
DO45249
57 years, male, NA, stage:1, alive, 630 days
464.4
DO45153
77 years, female, NA, stage:2, alive, 1380 days
461.7
DO45229
74 years, male, NA, stage:1, alive, 990 days
459.0
DO48679
72 years, male, NA, stage:2, alive, 1200 days
455.5
DO45257
46 years, male, NA, stage:3, alive, 810 days
444.8
DO50855
47 years, male, NA, stage:2, alive, 570 days
441.8
DO45187
32 years, female, NA, stage:1, alive, 1260 days
437.2
DO45127
73 years, male, NA, stage:3, dead, 420 days
436.2
DO45165
75 years, male, NA, stage:2, alive, 690 days
432.9
DO23523
52 years, male, NA, stage:3, alive, 1080 days
431.3
DO50815
62 years, male, NA, stage:3, alive, 150 days
429.1
DO45109
63 years, male, NA, stage:2, alive, 1590 days
425.5
DO45173
63 years, male, NA, stage:3, alive, 1170 days
424.4
DO45237
58 years, male, NA, stage:2, alive, 900 days
420.1
DO23547
74 years, male, NA, stage:1, alive, 1020 days
419.8
DO45287
74 years, male, NA, stage:1, alive, 390 days
416.2
DO45231
84 years, male, NA, stage:2, alive, 930 days
415.0
DO48717
54 years, male, NA, stage:4, dead, 180 days
411.8
DO23539
77 years, male, NA, stage:1, alive, 1110 days
409.4
DO45255
81 years, male, NA, stage:3, alive, 720 days
407.2
DO45135
77 years, male, NA, stage:1, alive, 1410 days
403.9
DO48751
68 years, male, NA, stage:2, dead, 480 days
403.7
DO23536
56 years, male, NA, stage:2, alive, 930 days
398.9
DO45241
49 years, male, NA, stage:1, alive, 1080 days
398.8
DO45185
89 years, male, NA, stage:2, alive, 600 days
397.3
DO50822
66 years, male, NA, stage:2, alive, 510 days
397.3
DO45213
58 years, male, NA, stage:1, alive, 1200 days
394.4
DO50819
72 years, female, NA, stage:2, alive, 510 days
386.9
DO50816
63 years, male, NA, stage:2, alive, 390 days
386.8
DO23542
66 years, male, NA, stage:3, alive, 960 days
386.0
DO45117
73 years, female, NA, stage:2, dead, 1110 days
381.9
DO45095
66 years, male, NA, stage:2, alive, 1620 days
378.1
DO48700
78 years, female, NA, stage:2, alive, 810 days
375.4
DO45205
67 years, female, NA, stage:2, dead, 90 days
375.0
DO23524
71 years, female, NA, stage:2, alive, 1050 days
372.4
DO23511
83 years, female, NA, stage:3, dead, 180 days
371.3
DO45189
85 years, female, NA, stage:2, alive, 1200 days
363.3
DO45183
72 years, female, NA, stage:2, dead, 570 days
355.7
DO50811
62 years, male, NA, stage:1, alive, 450 days
354.7
DO23513
76 years, male, NA, stage:3, alive, 1200 days
351.5
DO23530
53 years, male, NA, stage:4, dead, 180 days
350.7
DO48732
73 years, male, NA, stage:3, alive, 630 days
350.3
DO45219
78 years, male, NA, stage:2, alive, 1080 days
349.4
DO23509
60 years, male, NA, stage:3, dead, 780 days
348.4
DO50776
75 years, male, NA, stage:1, alive, 690 days
347.6
DO50840
49 years, male, NA, stage:2, alive, 330 days
347.0
DO50791
79 years, female, NA, stage:1, dead, 480 days
344.9
DO45171
56 years, male, NA, stage:3, alive, 600 days
342.7
DO45157
62 years, male, NA, stage:2, alive, 1980 days
342.6
DO45193
68 years, female, NA, stage:4, dead, 120 days
342.1
DO45133
64 years, male, NA, stage:3, dead, 660 days
340.3
DO45239
42 years, male, NA, stage:2, alive, 870 days
339.9
DO45125
58 years, male, NA, stage:3, alive, 1680 days
339.0
DO45223
67 years, male, NA, stage:4, alive, 1020 days
335.7
DO23546
63 years, male, NA, stage:2, alive, 1050 days
333.2
DO45141
73 years, male, NA, stage:2, alive, 1320 days
328.5
DO48693
71 years, male, NA, stage:2, alive, 900 days
326.3
DO45199
86 years, female, NA, stage:2, alive, 1350 days
322.9
DO45191
61 years, female, NA, stage:2, alive, 1200 days
322.6
DO48746
76 years, male, NA, stage:3, alive, 570 days
321.4
DO48701
78 years, male, NA, stage:2, alive, 780 days
320.7
DO45227
57 years, female, NA, stage:2, alive, 1020 days
317.9
DO45105
61 years, male, NA, stage:1, alive, 1680 days
316.8
DO45253
50 years, male, NA, stage:2, alive, 870 days
314.8
DO23521
63 years, male, NA, stage:3, alive, 1110 days
314.0
DO45235
68 years, female, NA, stage:1, alive, 900 days
313.9
DO45177
81 years, female, NA, stage:3, alive, 1260 days
311.2
DO50808
68 years, male, NA, stage:2, alive, 570 days
310.4
DO50783
62 years, male, NA, stage:3, alive, 480 days
309.9
DO23529
72 years, male, NA, stage:4, alive, 930 days
308.4
DO23548
78 years, female, NA, stage:1, alive, 840 days
304.1
DO45247
31 years, female, NA, stage:2, alive, 210 days
303.0
DO50850
74 years, male, NA, stage:3, alive, 720 days
302.4
DO23535
67 years, male, NA, stage:1, alive, 960 days
297.5
DO45091
56 years, male, NA, stage:2, dead, 1320 days
296.9
DO45113
58 years, male, NA, stage:3, alive, 1560 days
292.8
DO23541
65 years, male, NA, stage:2, alive, 930 days
290.9
DO45115
81 years, male, NA, stage:2, alive, 840 days
290.8
DO23549
74 years, male, NA, stage:3, alive, 990 days
290.2
DO48716
71 years, male, NA, stage:2, alive, 720 days
290.1
DO50859
77 years, male, NA, stage:2, alive, 180 days
290.0
DO23518
67 years, male, NA, stage:2, alive, 1320 days
285.4
DO45201
49 years, male, NA, stage:1, alive, 900 days
285.1
DO50799
66 years, female, NA, stage:2, alive, 540 days
283.2
DO50800
74 years, male, NA, stage:2, alive, 510 days
281.4
DO48715
58 years, female, NA, stage:2, dead, 690 days
281.0
DO45265
73 years, male, NA, stage:3, alive, 1020 days
279.1
DO48695
77 years, male, NA, stage:2, alive, 720 days
277.1
DO48736
76 years, female, NA, stage:1, alive, 600 days
276.5
DO23514
64 years, male, NA, stage:2, alive, 1290 days
275.3
DO227801
77 years, female, NA, stage:1, alive, 660 days
273.1
DO45243
74 years, female, NA, stage:3, alive, 930 days
272.7
DO48727
81 years, female, NA, stage:2, dead, 390 days
272.0
DO23543
63 years, male, NA, stage:2, alive, 1020 days
267.0
DO48677
58 years, male, NA, stage:3, alive, 1140 days
266.5
DO50774
68 years, female, NA, stage:2, alive, 720 days
263.7
DO45203
71 years, female, NA, stage:2, alive, 1170 days
263.5
DO23537
79 years, male, NA, stage:2, dead, 900 days
260.9
DO227643
79 years, male, NA, stage:2, alive, 1260 days
260.0
DO48712
50 years, male, NA, stage:2, alive, 810 days
258.0
DO50818
65 years, male, NA, stage:2, alive, 510 days
257.5
DO45101
63 years, male, NA, stage:2, alive, 1680 days
255.3
DO50793
76 years, male, NA, stage:4, alive, 540 days
254.2
DO48761
55 years, male, NA, stage:2, alive, 870 days
250.7
DO23528
45 years, female, NA, stage:2, alive, 1020 days
249.8
DO45167
67 years, male, NA, stage:2, dead, 1440 days
249.4
DO23512
60 years, male, NA, stage:1, alive, 1260 days
249.0
DO48743
69 years, female, NA, stage:2, alive, 570 days
247.2
DO48728
74 years, female, NA, stage:2, alive, 150 days
244.0
DO23510
80 years, female, NA, stage:2, alive, 870 days
243.6
DO45225
69 years, male, NA, stage:1, alive, 1050 days
241.9
DO50817
75 years, male, NA, stage:2, alive, 390 days
240.2
DO50789
73 years, female, NA, stage:2, alive, 570 days
236.9
DO50832
73 years, male, NA, stage:3, alive, 90 days
236.4
DO23552
80 years, female, NA, stage:1, alive, 810 days
232.1
DO45129
61 years, male, NA, stage:3, alive, 1470 days
229.7
DO45261
74 years, male, NA, stage:3, alive, 990 days
226.6
DO48757
68 years, female, NA, stage:3, alive, 480 days
226.6
DO48725
66 years, male, NA, stage:1, alive, 780 days
224.7
DO50802
49 years, male, NA, stage:2, alive, 930 days
223.5
DO48721
58 years, female, NA, stage:1, alive, 900 days
222.3
DO48742
76 years, male, NA, stage:2, alive, 600 days
220.5
DO50857
72 years, male, NA, stage:2, alive, 210 days
220.2
DO45137
38 years, male, NA, stage:1, alive, 1320 days
219.2
DO23550
69 years, male, NA, stage:1, alive, 990 days
219.1
DO45121
61 years, male, NA, stage:3, alive, 1530 days
218.1
DO45263
67 years, male, NA, stage:3, dead, 270 days
214.9
DO45099
46 years, male, NA, stage:3, alive, 1590 days
212.9
DO45096
69 years, male, NA, stage:2, dead, 1290 days
212.8
DO23517
62 years, male, NA, stage:2, alive, 1200 days
206.3
DO45159
65 years, male, NA, stage:3, alive, 1470 days
205.0
DO48706
72 years, male, NA, stage:2, alive, 870 days
204.6
DO48681
57 years, male, NA, stage:2, alive, 900 days
202.9
DO50803
62 years, female, NA, stage:1, alive, 540 days
199.3
DO48674
80 years, male, NA, stage:2, alive, 1260 days
196.3
DO45233
83 years, male, NA, stage:3, alive, 900 days
194.7
DO48733
72 years, male, NA, stage:2, alive, 600 days
194.0
DO23532
71 years, female, NA, stage:1, alive, 960 days
191.7
DO23527
72 years, male, NA, stage:1, alive, 1050 days
185.8
DO45179
78 years, female, NA, stage:2, alive, 600 days
179.4
DO50845
72 years, male, NA, stage:3, alive, 210 days
179.0
DO48719
80 years, male, NA, stage:2, alive, 690 days
170.9
DO45215
65 years, male, NA, stage:2, alive, 1170 days
170.6
DO50844
75 years, male, NA, stage:4, alive, 300 days
165.9
DO48760
70 years, female, NA, stage:2, alive, 690 days
162.3
DO45181
84 years, female, NA, stage:2, alive, 1200 days
162.0
DO45094
76 years, male, NA, stage:3, alive, 1650 days
160.5
DO45195
62 years, male, NA, stage:1, alive, 390 days
158.6
DO50787
63 years, male, NA, stage:3, alive, 480 days
156.7
DO23538
67 years, male, NA, stage:2, alive, 450 days
154.2
DO45111
74 years, male, NA, stage:2, alive, 1590 days
154.0
DO45207
68 years, male, NA, stage:1, alive, 1050 days
152.7
DO50804
81 years, male, NA, stage:2, alive, 720 days
149.2
DO45197
51 years, male, NA, stage:2, alive, 1170 days
146.4
DO23544
67 years, male, NA, stage:2, alive, 960 days
135.5
DO50820
77 years, female, NA, stage:3, alive, 510 days
129.6
DO23531
78 years, female, NA, stage:3, alive, 900 days
129.3
DO23551
73 years, male, NA, stage:3, dead, 150 days
126.2
DO45107
63 years, female, NA, stage:2, alive, 1710 days
122.1
DO23534
60 years, male, NA, stage:2, alive, 840 days
118.9
DO50807
67 years, male, NA, stage:1, alive, 540 days
93.3
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
745
Tumor
1.4
393
Tumor
1.3
257
Tumor
1.2
567
Tumor
1.0
147
Tumor
0.9
387
Tumor
0.8
743
Tumor
0.8
353
Tumor
0.8
357
Tumor
0.8
615
Tumor
0.8
361
Tumor
0.7
445
Tumor
0.7
573
Tumor
0.7
127
Tumor
0.7
635
Tumor
0.7
375
Tumor
0.7
957
Tumor
0.6
663
Tumor
0.6
741
Tumor
0.5
267
Tumor
0.5
137
Tumor
0.5
443
Tumor
0.5
331
Tumor
0.5
571
Tumor
0.5
981
Tumor
0.5
187
Tumor
0.5
557
Tumor
0.5
661
Tumor
0.5
327
Tumor
0.5
421
Tumor
0.5
231
Tumor
0.5
125
Tumor
0.5
685
Tumor
0.5
627
Tumor
0.4
311
Tumor
0.4
351
Tumor
0.4
297
Tumor
0.4
423
Tumor
0.4
367
Tumor
0.4
777
Tumor
0.4
665
Tumor
0.4
867
Tumor
0.3
953
Tumor
0.3
285
Tumor
0.3
385
Tumor
0.3
195
Tumor
0.3
365
Tumor
0.3
435
Tumor
0.3
191
Tumor
0.3
223
Tumor
0.3
983
Tumor
0.3
213
Tumor
0.3
465
Tumor
0.3
227
Tumor
0.3
463
Tumor
0.2
671
Tumor
0.2
123
Tumor
0.2
477
Tumor
0.2
1021
Tumor
0.2
815
Tumor
0.2
431
Tumor
0.2
162
Normal
0.2
515
Tumor
0.2
461
Tumor
0.2
436
Normal
0.2
277
Tumor
0.2
185
Tumor
0.2
395
Tumor
0.2
861
Tumor
0.2
113
Tumor
0.2
925
Tumor
0.2
513
Tumor
0.2
394
Normal
0.2
865
Tumor
0.1
172
Normal
0.1
427
Tumor
0.1
915
Tumor
0.1
1027
Tumor
0.1
467
Tumor
0.1
451
Tumor
0.1
664
Normal
0.1
135
Tumor
0.1
1043
Tumor
0.1
481
Tumor
0.1
222
Normal
0.1
1015
Tumor
0.1
278
Normal
0.1
1013
Tumor
0.1
188
Normal
0.1
537
Tumor
0.1
525
Tumor
0.1
648
Normal
0.1
432
Normal
0.1
171
Tumor
0.1
145
Tumor
0.1
433
Tumor
0.1
727
Tumor
0.1
517
Tumor
0.0
917
Tumor
0.0
411
Tumor
0.0
414
Normal
0.0
391
Tumor
0.0
392
Normal
0.0
312
Normal
0.0
186
Normal
0.0
124
Normal
0.0
341
Tumor
0.0
466
Normal
0.0
425
Tumor
0.0
383
Tumor
0.0
455
Tumor
0.0
132
Normal
0.0
314
Normal
0.0
527
Tumor
0.0
332
Normal
0.0
785
Tumor
0.0
1025
Tumor
0.0
873
Tumor
0.0
851
Tumor
0.0
737
Tumor
0.0
424
Normal
0.0
813
Tumor
0.0
913
Tumor
0.0
715
Tumor
0.0
358
Normal
0.0
563
Tumor
0.0
111
Normal
0.0
444
Normal
0.0
617
Tumor
0.0
923
Tumor
0.0
428
Normal
0.0
362
Normal
0.0
196
Normal
0.0
965
Tumor
0.0
366
Normal
0.0
824
Normal
0.0
464
Normal
0.0
422
Normal
0.0
786
Normal
0.0
666
Normal
0.0
386
Normal
0.0
523
Tumor
-0.1
1041
Tumor
-0.1
136
Normal
-0.1
911
Tumor
-0.1
376
Normal
-0.1
148
Normal
-0.1
232
Normal
-0.1
641
Tumor
-0.1
217
Tumor
-0.1
342
Normal
-0.1
218
Normal
-0.1
951
Tumor
-0.1
138
Normal
-0.1
211
Tumor
-0.1
447
Tumor
-0.1
446
Normal
-0.1
268
Normal
-0.1
426
Normal
-0.1
128
Normal
-0.1
483
Tumor
-0.1
126
Normal
-0.1
286
Normal
-0.1
817
Tumor
-0.1
912
Normal
-0.1
814
Normal
-0.1
724
Normal
-0.1
863
Tumor
-0.1
1022
Normal
-0.1
258
Normal
-0.1
533
Tumor
-0.1
388
Normal
-0.1
131
Tumor
-0.1
883
Tumor
-0.1
628
Normal
-0.1
354
Normal
-0.1
738
Normal
-0.1
343
Tumor
-0.1
112
Tumor
-0.1
618
Normal
-0.1
261
Tumor
-0.1
493
Tumor
-0.1
228
Normal
-0.1
192
Normal
-0.1
355
Tumor
-0.1
713
Tumor
-0.1
642
Normal
-0.1
456
Normal
-0.1
952
Normal
-0.1
857
Tumor
-0.1
298
Normal
-0.2
114
Normal
-0.2
858
Normal
-0.2
452
Normal
-0.2
214
Normal
-0.2
868
Normal
-0.2
884
Normal
-0.2
864
Normal
-0.2
545
Tumor
-0.2
262
Normal
-0.2
283
Tumor
-0.2
271
Tumor
-0.2
146
Normal
-0.2
462
Normal
-0.2
662
Normal
-0.2
564
Normal
-0.2
161
Tumor
-0.2
497
Tumor
-0.2
313
Tumor
-0.2
284
Normal
-0.2
396
Normal
-0.2
272
Normal
-0.2
416
Normal
-0.2
723
Tumor
-0.2
636
Normal
-0.2
728
Normal
-0.2
468
Normal
-0.2
742
Normal
-0.2
695
Tumor
-0.2
647
Tumor
-0.2
916
Normal
-0.2
528
Normal
-0.2
434
Normal
-0.2
874
Normal
-0.2
616
Normal
-0.2
818
Normal
-0.2
384
Normal
-0.2
344
Normal
-0.2
862
Normal
-0.2
697
Tumor
-0.2
926
Normal
-0.2
1026
Normal
-0.2
816
Normal
-0.2
756
Normal
-0.2
866
Normal
-0.3
881
Tumor
-0.3
922
Normal
-0.3
722
Normal
-0.3
368
Normal
-0.3
746
Normal
-0.3
558
Normal
-0.3
568
Normal
-0.3
221
Tumor
-0.3
352
Normal
-0.3
574
Normal
-0.3
943
Tumor
-0.3
982
Normal
-0.3
1044
Normal
-0.3
714
Normal
-0.3
471
Tumor
-0.3
1016
Normal
-0.3
514
Normal
-0.3
955
Tumor
-0.3
448
Normal
-0.3
328
Normal
-0.3
721
Tumor
-0.3
978
Normal
-0.3
546
Normal
-0.3
977
Tumor
-0.3
852
Normal
-0.3
976
Normal
-0.3
918
Normal
-0.3
356
Normal
-0.3
535
Tumor
-0.3
572
Normal
-0.3
1032
Normal
-0.3
963
Tumor
-0.3
1046
Normal
-0.3
944
Normal
-0.3
778
Normal
-0.4
1045
Tumor
-0.4
518
Normal
-0.4
882
Normal
-0.4
964
Normal
-0.4
224
Normal
-0.4
141
Tumor
-0.4
516
Normal
-0.4
966
Normal
-0.4
482
Normal
-0.4
1042
Normal
-0.4
212
Normal
-0.4
474
Normal
-0.4
698
Normal
-0.4
924
Normal
-0.4
956
Normal
-0.4
755
Tumor
-0.4
472
Normal
-0.4
716
Normal
-0.4
958
Normal
-0.4
914
Normal
-0.4
968
Normal
-0.4
484
Normal
-0.4
672
Normal
-0.4
696
Normal
-0.4
494
Normal
-0.4
823
Tumor
-0.5
364
Normal
-0.5
534
Normal
-0.5
412
Normal
-0.5
487
Tumor
-0.5
142
Normal
-0.5
1031
Tumor
-0.5
1028
Normal
-0.5
415
Tumor
-0.5
938
Normal
-0.5
488
Normal
-0.5
1014
Normal
-0.5
413
Tumor
-0.5
975
Tumor
-0.5
526
Normal
-0.5
878
Normal
-0.5
536
Normal
-0.5
984
Normal
-0.6
967
Tumor
-0.6
686
Normal
-0.6
877
Tumor
-0.6
744
Normal
-0.6
524
Normal
-0.6
954
Normal
-0.6
498
Normal
-0.6
478
Normal
-0.7
492
Normal
-0.7
554
Normal
-0.7
937
Tumor
-0.8
921
Tumor
-0.8
491
Tumor
-0.8
553
Tumor
-0.8
538
Normal
-0.8
363
Tumor
-0.8
473
Tumor
-1.0
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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.