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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.
PABPC1 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
538.1
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
3182.4
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
2723.4
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
2411.3
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
2082.7
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
2049.5
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
1637.9
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1626.2
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
1610.0
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
1602.9
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
1581.0
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
1542.0
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
1535.0
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
1533.7
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
1530.7
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
1519.8
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
1474.4
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
1436.8
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
1375.9
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
1374.9
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
1358.5
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
1357.9
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
1257.0
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
1235.6
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
1232.7
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
1221.7
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
1199.8
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
1190.5
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
1173.1
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
1145.4
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
1112.5
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
1112.3
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
1103.8
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
1080.6
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
1066.4
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
1046.8
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
1043.7
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
1042.1
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
1024.5
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
1019.4
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
1018.2
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
994.8
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
993.6
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
993.4
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
991.3
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
985.3
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
976.0
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
970.3
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
961.9
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
954.4
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
947.9
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
939.5
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
936.7
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
924.4
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
913.1
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
903.3
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
899.2
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
895.1
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
893.5
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
880.9
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
861.1
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
855.9
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
855.7
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
845.0
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
843.4
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
839.3
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
836.4
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
830.5
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
829.2
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
827.5
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
823.3
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
821.6
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
808.5
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
781.3
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
774.9
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
774.8
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
771.3
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
760.1
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
746.6
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
734.9
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
727.9
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
726.3
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
718.4
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
717.5
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
715.1
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
713.4
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
708.5
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
706.2
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
706.1
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
705.3
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
705.2
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
703.3
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
702.8
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
698.5
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
698.4
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
695.1
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
693.4
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
685.1
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
684.9
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
681.8
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
679.8
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
677.3
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
674.3
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
673.8
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
672.8
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
667.0
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
665.0
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
659.8
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
645.2
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
641.7
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
638.3
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
635.3
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
634.7
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
634.7
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
615.7
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
615.2
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
613.2
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
610.6
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
609.4
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
608.5
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
603.3
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
603.1
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
600.5
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
587.2
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
583.4
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
578.6
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
573.7
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
572.2
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
568.8
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
568.7
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
563.4
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
558.6
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
556.8
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
556.3
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
554.9
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
549.8
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
543.2
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
541.8
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
537.6
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
536.9
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
535.9
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
531.9
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
529.6
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
523.9
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
523.5
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
518.0
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
515.4
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
509.6
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
508.1
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
506.0
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
500.6
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
496.9
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
495.9
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
494.9
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
493.9
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
492.9
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
484.4
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
479.1
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
474.6
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
468.2
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
466.1
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
465.9
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
462.3
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
461.1
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
455.4
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
455.0
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
451.0
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
449.0
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
446.0
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
444.7
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
444.0
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
437.2
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
436.1
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
433.5
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
430.2
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
427.6
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
423.5
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
422.5
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
420.9
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
419.8
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
416.6
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
415.7
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
414.7
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
410.5
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
410.4
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
408.4
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
402.0
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
398.8
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
395.0
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
394.3
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
390.6
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
390.5
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
389.6
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
388.0
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
385.2
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
384.8
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
384.6
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
379.6
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
377.6
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
373.3
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
372.1
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
371.9
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
365.5
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
365.0
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
363.5
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
362.0
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
361.7
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
358.5
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
352.5
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
348.8
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
348.3
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
347.2
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
345.8
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
344.1
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
343.6
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
343.3
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
338.3
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
336.7
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
334.8
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
333.2
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
332.6
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
332.1
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
331.4
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
330.6
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
328.8
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
328.6
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
327.9
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
326.1
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
322.1
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
318.2
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
317.2
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
315.6
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
312.5
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
311.5
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
308.0
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
304.1
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
302.8
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
301.5
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
299.8
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
297.7
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
295.2
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
294.5
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
291.7
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
289.4
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
288.6
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
287.6
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
286.8
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
286.4
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
283.0
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
280.1
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
278.2
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
278.1
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
277.1
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
276.2
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
274.4
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
272.3
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
266.8
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
265.8
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
264.8
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
264.3
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
263.0
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
263.0
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
262.9
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
260.3
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
258.6
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
257.0
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
256.5
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
254.4
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
250.9
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
250.6
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
247.1
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
246.4
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
245.3
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
244.3
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
240.9
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
240.1
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
237.1
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
236.8
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
235.3
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
234.8
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
234.3
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
233.3
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
233.1
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
225.8
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
225.5
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
222.3
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
221.5
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
220.5
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
220.3
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
220.2
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
218.4
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
215.5
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
212.9
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
210.3
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
208.9
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
207.0
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
206.8
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
205.8
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
205.7
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
203.0
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
199.2
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
198.9
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
198.2
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
197.9
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
196.9
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
196.2
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
190.5
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
189.3
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
188.7
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
185.9
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
180.9
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
178.9
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
178.9
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
176.8
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
176.5
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
174.6
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
173.9
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
171.4
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
168.6
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
168.5
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
167.9
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
167.8
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
167.2
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
166.6
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
166.1
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
165.8
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
165.6
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
162.8
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
160.7
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
159.9
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
157.4
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
157.0
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
156.2
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
153.8
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
150.7
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
145.5
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
138.2
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
137.5
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
135.4
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
134.5
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
131.6
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
129.8
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
128.6
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
127.9
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
124.8
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
124.6
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
123.1
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
121.7
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
118.8
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
114.5
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
113.4
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
113.3
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
110.0
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
109.4
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
109.0
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
107.2
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
106.7
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
104.9
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
86.3
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
81.6
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
77.1
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
65.6
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 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.
PABPC1 is potential 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.
: 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
624.2
Number of samples
231
Samples
Sample
Description
pTPM
DO45269
59 years, male, NA, stage:3, alive, 750 days
3156.0
DO45245
75 years, female, NA, stage:2, dead, 240 days
2857.9
DO45093
71 years, male, NA, stage:2, dead, 720 days
2670.7
DO45165
75 years, male, NA, stage:2, alive, 690 days
2310.4
DO50785
37 years, male, NA, stage:4, dead, 90 days
2221.8
DO45267
73 years, male, NA, stage:3, dead, 570 days
2187.0
DO45169
74 years, male, NA, stage:3, alive, 1350 days
2144.0
DO45161
74 years, male, NA, stage:2, dead, 540 days
2049.7
DO45217
69 years, female, NA, stage:3, dead, 270 days
2013.8
DO45279
67 years, male, NA, stage:3, alive, 1290 days
1914.9
DO45239
42 years, male, NA, stage:2, alive, 870 days
1888.2
DO45189
85 years, female, NA, stage:2, alive, 1200 days
1811.4
DO45193
68 years, female, NA, stage:4, dead, 120 days
1675.5
DO50799
66 years, female, NA, stage:2, alive, 540 days
1620.2
DO48672
81 years, male, NA, stage:2, alive, 450 days
1582.9
DO23519
65 years, male, NA, stage:3, alive, 630 days
1519.6
DO48730
73 years, female, NA, stage:2, alive, 630 days
1341.3
DO50806
70 years, male, NA, stage:4, alive, 540 days
1326.8
DO48720
62 years, female, NA, stage:2, alive, 570 days
1201.0
DO45265
73 years, male, NA, stage:3, alive, 1020 days
1191.1
DO45247
31 years, female, NA, stage:2, alive, 210 days
1178.5
DO45171
56 years, male, NA, stage:3, alive, 600 days
1126.5
DO48715
58 years, female, NA, stage:2, dead, 690 days
1117.6
DO23521
63 years, male, NA, stage:3, alive, 1110 days
1105.6
DO45221
75 years, female, NA, stage:4, dead, 390 days
1105.2
DO50811
62 years, male, NA, stage:1, alive, 450 days
1104.0
DO48706
72 years, male, NA, stage:2, alive, 870 days
1092.1
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1049.1
DO23542
66 years, male, NA, stage:3, alive, 960 days
1036.5
DO23516
69 years, male, NA, stage:3, dead, 20 days
1026.6
DO50822
66 years, male, NA, stage:2, alive, 510 days
999.1
DO50859
77 years, male, NA, stage:2, alive, 180 days
987.3
DO45163
76 years, male, NA, stage:2, alive, 960 days
983.0
DO50778
60 years, male, NA, stage:4, alive, 630 days
979.4
DO50805
72 years, male, NA, stage:2, alive, 690 days
963.9
DO45211
76 years, male, NA, stage:3, alive, 240 days
950.9
DO48757
68 years, female, NA, stage:3, alive, 480 days
938.7
DO45187
32 years, female, NA, stage:1, alive, 1260 days
917.1
DO45121
61 years, male, NA, stage:3, alive, 1530 days
916.6
DO45091
56 years, male, NA, stage:2, dead, 1320 days
904.1
DO50850
74 years, male, NA, stage:3, alive, 720 days
900.2
DO48736
76 years, female, NA, stage:1, alive, 600 days
885.8
DO50820
77 years, female, NA, stage:3, alive, 510 days
878.2
DO45127
73 years, male, NA, stage:3, dead, 420 days
877.7
DO45213
58 years, male, NA, stage:1, alive, 1200 days
851.9
DO45173
63 years, male, NA, stage:3, alive, 1170 days
835.3
DO48751
68 years, male, NA, stage:2, dead, 480 days
832.8
DO45303
62 years, female, NA, stage:3, alive, 990 days
827.2
DO23533
61 years, male, NA, stage:2, alive, 900 days
824.5
DO45273
62 years, male, NA, stage:2, alive, 480 days
802.7
DO45157
62 years, male, NA, stage:2, alive, 1980 days
796.8
DO45251
57 years, female, NA, stage:2, alive, 900 days
788.9
DO48704
68 years, female, NA, stage:3, alive, 750 days
784.2
DO45257
46 years, male, NA, stage:3, alive, 810 days
780.3
DO45205
67 years, female, NA, stage:2, dead, 90 days
775.3
DO23530
53 years, male, NA, stage:4, dead, 180 days
775.3
DO48723
73 years, male, NA, stage:1, alive, 600 days
772.2
DO45259
65 years, male, NA, stage:3, alive, 330 days
768.9
DO45299
70 years, female, NA, stage:1, alive, 1440 days
762.5
DO227801
77 years, female, NA, stage:1, alive, 660 days
760.7
DO48728
74 years, female, NA, stage:2, alive, 150 days
756.1
DO23529
72 years, male, NA, stage:4, alive, 930 days
727.9
DO45219
78 years, male, NA, stage:2, alive, 1080 days
726.4
DO45095
66 years, male, NA, stage:2, alive, 1620 days
717.0
DO48697
64 years, female, NA, stage:2, dead, 810 days
713.2
DO45307
54 years, female, NA, stage:4, dead, 240 days
700.7
DO45155
69 years, male, NA, stage:2, alive, 2160 days
690.2
DO23535
67 years, male, NA, stage:1, alive, 960 days
689.7
DO45183
72 years, female, NA, stage:2, dead, 570 days
667.1
DO50844
75 years, male, NA, stage:4, alive, 300 days
663.7
DO48727
81 years, female, NA, stage:2, dead, 390 days
657.9
DO23540
73 years, male, NA, stage:1, alive, 750 days
656.6
DO45143
69 years, male, NA, stage:3, alive, 1290 days
656.0
DO23543
63 years, male, NA, stage:2, alive, 1020 days
655.7
DO45145
78 years, male, NA, stage:3, dead, 60 days
653.2
DO45283
60 years, male, NA, stage:3, alive, 510 days
648.8
DO48695
77 years, male, NA, stage:2, alive, 720 days
637.6
DO45287
74 years, male, NA, stage:1, alive, 390 days
636.9
DO50791
79 years, female, NA, stage:1, dead, 480 days
623.6
DO23537
79 years, male, NA, stage:2, dead, 900 days
616.8
DO45191
61 years, female, NA, stage:2, alive, 1200 days
612.0
DO45103
47 years, male, NA, stage:3, alive, 450 days
611.7
DO48682
72 years, female, NA, stage:3, dead, 120 days
606.9
DO48733
72 years, male, NA, stage:2, alive, 600 days
605.3
DO45203
71 years, female, NA, stage:2, alive, 1170 days
600.7
DO23523
52 years, male, NA, stage:3, alive, 1080 days
596.8
DO45231
84 years, male, NA, stage:2, alive, 930 days
591.8
DO23510
80 years, female, NA, stage:2, alive, 870 days
589.6
DO23545
67 years, male, NA, stage:2, dead, 570 days
588.4
DO48700
78 years, female, NA, stage:2, alive, 810 days
587.1
DO45123
78 years, female, NA, stage:2, dead, 570 days
584.3
DO45243
74 years, female, NA, stage:3, alive, 930 days
576.1
DO48743
69 years, female, NA, stage:2, alive, 570 days
572.3
DO45305
66 years, male, NA, stage:4, alive, 300 days
569.8
DO45253
50 years, male, NA, stage:2, alive, 870 days
568.1
DO45277
64 years, male, NA, stage:3, alive, 600 days
554.2
DO50829
78 years, male, NA, stage:3, alive, 570 days
551.3
DO50793
76 years, male, NA, stage:4, alive, 540 days
546.9
DO48681
57 years, male, NA, stage:2, alive, 900 days
543.2
DO45141
73 years, male, NA, stage:2, alive, 1320 days
542.3
DO45225
69 years, male, NA, stage:1, alive, 1050 days
537.6
DO50803
62 years, female, NA, stage:1, alive, 540 days
537.5
DO45223
67 years, male, NA, stage:4, alive, 1020 days
533.4
DO48732
73 years, male, NA, stage:3, alive, 630 days
532.1
DO45281
83 years, male, NA, stage:4, alive, 750 days
531.4
DO50832
73 years, male, NA, stage:3, alive, 90 days
527.3
DO45201
49 years, male, NA, stage:1, alive, 900 days
526.7
DO23511
83 years, female, NA, stage:3, dead, 180 days
526.1
DO45301
56 years, male, NA, stage:2, dead, 1440 days
523.7
DO45139
63 years, male, NA, stage:3, alive, 1320 days
516.8
DO45131
53 years, male, NA, stage:4, dead, 360 days
513.7
DO45263
67 years, male, NA, stage:3, dead, 270 days
512.4
DO50855
47 years, male, NA, stage:2, alive, 570 days
510.8
DO48677
58 years, male, NA, stage:3, alive, 1140 days
509.3
DO45237
58 years, male, NA, stage:2, alive, 900 days
508.1
DO45249
57 years, male, NA, stage:1, alive, 630 days
503.3
DO23524
71 years, female, NA, stage:2, alive, 1050 days
501.7
DO45097
69 years, male, NA, stage:3, alive, 1620 days
498.9
DO45113
58 years, male, NA, stage:3, alive, 1560 days
497.9
DO48746
76 years, male, NA, stage:3, alive, 570 days
492.8
DO48712
50 years, male, NA, stage:2, alive, 810 days
491.3
DO45115
81 years, male, NA, stage:2, alive, 840 days
488.2
DO23546
63 years, male, NA, stage:2, alive, 1050 days
482.5
DO48737
52 years, male, NA, stage:1, alive, 720 days
479.6
DO50816
63 years, male, NA, stage:2, alive, 390 days
478.3
DO50809
56 years, male, NA, stage:3, dead, 720 days
477.6
DO23514
64 years, male, NA, stage:2, alive, 1290 days
475.0
DO48725
66 years, male, NA, stage:1, alive, 780 days
473.9
DO23548
78 years, female, NA, stage:1, alive, 840 days
471.5
DO45135
77 years, male, NA, stage:1, alive, 1410 days
471.4
DO45153
77 years, female, NA, stage:2, alive, 1380 days
467.3
DO23528
45 years, female, NA, stage:2, alive, 1020 days
454.7
DO45175
74 years, male, NA, stage:2, alive, 1140 days
452.6
DO45199
86 years, female, NA, stage:2, alive, 1350 days
448.5
DO50798
77 years, male, NA, stage:3, dead, 30 days
443.0
DO45285
59 years, male, NA, stage:3, alive, 480 days
440.5
DO45119
74 years, male, NA, stage:3, dead, 510 days
428.4
DO50804
81 years, male, NA, stage:2, alive, 720 days
424.3
DO23549
74 years, male, NA, stage:3, alive, 990 days
423.8
DO45159
65 years, male, NA, stage:3, alive, 1470 days
422.2
DO23547
74 years, male, NA, stage:1, alive, 1020 days
419.7
DO23515
71 years, male, NA, stage:2, alive, 1230 days
418.2
DO45275
65 years, male, NA, stage:3, dead, 10 days
411.5
DO45197
51 years, male, NA, stage:2, alive, 1170 days
398.7
DO48716
71 years, male, NA, stage:2, alive, 720 days
393.5
DO50857
72 years, male, NA, stage:2, alive, 210 days
390.2
DO48717
54 years, male, NA, stage:4, dead, 180 days
389.4
DO48693
71 years, male, NA, stage:2, alive, 900 days
388.2
DO45241
49 years, male, NA, stage:1, alive, 1080 days
379.5
DO23536
56 years, male, NA, stage:2, alive, 930 days
377.3
DO23552
80 years, female, NA, stage:1, alive, 810 days
374.1
DO45235
68 years, female, NA, stage:1, alive, 900 days
370.7
DO23508
79 years, female, NA, stage:2, alive, 390 days
370.3
DO45137
38 years, male, NA, stage:1, alive, 1320 days
368.0
DO23509
60 years, male, NA, stage:3, dead, 780 days
366.7
DO23541
65 years, male, NA, stage:2, alive, 930 days
364.4
DO50815
62 years, male, NA, stage:3, alive, 150 days
362.0
DO50800
74 years, male, NA, stage:2, alive, 510 days
361.4
DO45099
46 years, male, NA, stage:3, alive, 1590 days
357.6
DO45133
64 years, male, NA, stage:3, dead, 660 days
355.8
DO45185
89 years, male, NA, stage:2, alive, 600 days
354.9
DO45207
68 years, male, NA, stage:1, alive, 1050 days
342.5
DO50802
49 years, male, NA, stage:2, alive, 930 days
338.4
DO48741
64 years, male, NA, stage:3, alive, 240 days
327.6
DO45289
78 years, female, NA, stage:3, alive, 360 days
327.4
DO50783
62 years, male, NA, stage:3, alive, 480 days
325.6
DO50774
68 years, female, NA, stage:2, alive, 720 days
319.1
DO45297
61 years, female, NA, stage:4, dead, 1260 days
318.0
DO50787
63 years, male, NA, stage:3, alive, 480 days
313.0
DO23513
76 years, male, NA, stage:3, alive, 1200 days
311.7
DO45117
73 years, female, NA, stage:2, dead, 1110 days
307.7
DO45233
83 years, male, NA, stage:3, alive, 900 days
303.7
DO45129
61 years, male, NA, stage:3, alive, 1470 days
294.9
DO50819
72 years, female, NA, stage:2, alive, 510 days
294.8
DO48721
58 years, female, NA, stage:1, alive, 900 days
294.3
DO23518
67 years, male, NA, stage:2, alive, 1320 days
293.0
DO48679
72 years, male, NA, stage:2, alive, 1200 days
292.1
DO45229
74 years, male, NA, stage:1, alive, 990 days
290.1
DO45177
81 years, female, NA, stage:3, alive, 1260 days
288.0
DO23538
67 years, male, NA, stage:2, alive, 450 days
283.2
DO50817
75 years, male, NA, stage:2, alive, 390 days
282.6
DO45092
62 years, male, NA, stage:4, dead, 1200 days
280.8
DO48747
62 years, male, NA, stage:3, alive, 540 days
278.2
DO50825
70 years, male, NA, stage:2, alive, 390 days
274.4
DO50776
75 years, male, NA, stage:1, alive, 690 days
273.4
DO50818
65 years, male, NA, stage:2, alive, 510 days
272.8
DO45181
84 years, female, NA, stage:2, alive, 1200 days
272.7
DO45227
57 years, female, NA, stage:2, alive, 1020 days
269.1
DO48719
80 years, male, NA, stage:2, alive, 690 days
267.8
DO50789
73 years, female, NA, stage:2, alive, 570 days
256.3
DO45261
74 years, male, NA, stage:3, alive, 990 days
251.6
DO23512
60 years, male, NA, stage:1, alive, 1260 days
247.6
DO45179
78 years, female, NA, stage:2, alive, 600 days
245.8
DO23526
66 years, male, NA, stage:3, alive, 1050 days
240.9
DO48761
55 years, male, NA, stage:2, alive, 870 days
240.0
DO50807
67 years, male, NA, stage:1, alive, 540 days
223.8
DO50845
72 years, male, NA, stage:3, alive, 210 days
221.1
DO23531
78 years, female, NA, stage:3, alive, 900 days
220.6
DO45209
70 years, male, NA, stage:4, alive, 1350 days
218.5
DO23517
62 years, male, NA, stage:2, alive, 1200 days
217.1
DO45094
76 years, male, NA, stage:3, alive, 1650 days
214.1
DO23527
72 years, male, NA, stage:1, alive, 1050 days
204.6
DO50813
56 years, male, NA, stage:2, alive, 420 days
198.7
DO48760
70 years, female, NA, stage:2, alive, 690 days
195.9
DO50814
83 years, male, NA, stage:3, alive, 420 days
195.1
DO50808
68 years, male, NA, stage:2, alive, 570 days
194.6
DO50839
47 years, female, NA, stage:3, alive, 330 days
189.7
DO45101
63 years, male, NA, stage:2, alive, 1680 days
189.5
DO45109
63 years, male, NA, stage:2, alive, 1590 days
188.7
DO45255
81 years, male, NA, stage:3, alive, 720 days
187.9
DO48742
76 years, male, NA, stage:2, alive, 600 days
187.2
DO23551
73 years, male, NA, stage:3, dead, 150 days
186.5
DO227643
79 years, male, NA, stage:2, alive, 1260 days
185.5
DO45149
70 years, female, NA, stage:2, alive, 1260 days
180.6
DO23550
69 years, male, NA, stage:1, alive, 990 days
180.1
DO23539
77 years, male, NA, stage:1, alive, 1110 days
178.5
DO45125
58 years, male, NA, stage:3, alive, 1680 days
176.8
DO23544
67 years, male, NA, stage:2, alive, 960 days
175.0
DO48701
78 years, male, NA, stage:2, alive, 780 days
174.8
DO48759
73 years, male, NA, stage:3, alive, 720 days
173.9
DO45167
67 years, male, NA, stage:2, dead, 1440 days
173.5
DO45096
69 years, male, NA, stage:2, dead, 1290 days
171.7
DO45111
74 years, male, NA, stage:2, alive, 1590 days
163.7
DO45195
62 years, male, NA, stage:1, alive, 390 days
152.6
DO45215
65 years, male, NA, stage:2, alive, 1170 days
141.7
DO45107
63 years, female, NA, stage:2, alive, 1710 days
137.2
DO50840
49 years, male, NA, stage:2, alive, 330 days
117.5
DO45105
61 years, male, NA, stage:1, alive, 1680 days
110.7
DO23532
71 years, female, NA, stage:1, alive, 960 days
106.2
DO23534
60 years, male, NA, stage:2, alive, 840 days
96.8
DO48674
80 years, male, NA, stage:2, alive, 1260 days
93.3
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
285
Tumor
0.6
557
Tumor
0.5
965
Tumor
0.5
367
Tumor
0.4
937
Tumor
0.4
865
Tumor
0.4
537
Tumor
0.4
463
Tumor
0.3
1021
Tumor
0.3
395
Tumor
0.3
724
Normal
0.3
851
Tumor
0.3
443
Tumor
0.3
497
Tumor
0.3
1027
Tumor
0.3
267
Tumor
0.3
567
Tumor
0.3
467
Tumor
0.3
671
Tumor
0.3
967
Tumor
0.2
617
Tumor
0.2
815
Tumor
0.2
743
Tumor
0.2
147
Tumor
0.2
327
Tumor
0.2
227
Tumor
0.2
283
Tumor
0.2
413
Tumor
0.2
883
Tumor
0.2
983
Tumor
0.2
777
Tumor
0.2
745
Tumor
0.2
921
Tumor
0.2
351
Tumor
0.2
363
Tumor
0.2
661
Tumor
0.2
1015
Tumor
0.2
257
Tumor
0.2
187
Tumor
0.2
471
Tumor
0.2
663
Tumor
0.2
113
Tumor
0.2
221
Tumor
0.2
513
Tumor
0.1
223
Tumor
0.1
493
Tumor
0.1
123
Tumor
0.1
685
Tumor
0.1
641
Tumor
0.1
421
Tumor
0.1
161
Tumor
0.1
277
Tumor
0.1
135
Tumor
0.1
353
Tumor
0.1
523
Tumor
0.1
571
Tumor
0.1
913
Tumor
0.1
873
Tumor
0.1
713
Tumor
0.1
817
Tumor
0.1
1041
Tumor
0.1
727
Tumor
0.1
131
Tumor
0.1
527
Tumor
0.1
715
Tumor
0.1
877
Tumor
0.1
375
Tumor
0.1
533
Tumor
0.1
331
Tumor
0.1
951
Tumor
0.1
137
Tumor
0.1
1025
Tumor
0.1
535
Tumor
0.1
411
Tumor
0.1
145
Tumor
0.1
746
Normal
0.1
427
Tumor
0.1
697
Tumor
0.1
861
Tumor
0.1
435
Tumor
0.1
957
Tumor
0.1
355
Tumor
0.1
665
Tumor
0.1
1043
Tumor
0.1
391
Tumor
0.1
525
Tumor
0.1
286
Normal
0.1
978
Normal
0.1
737
Tumor
0.1
696
Normal
0.1
953
Tumor
0.1
721
Tumor
0.1
528
Normal
0.1
1028
Normal
0.0
723
Tumor
0.0
195
Tumor
0.0
943
Tumor
0.0
357
Tumor
0.0
415
Tumor
0.0
955
Tumor
0.0
385
Tumor
0.0
881
Tumor
0.0
823
Tumor
0.0
488
Normal
0.0
786
Normal
0.0
387
Tumor
0.0
968
Normal
0.0
477
Tumor
0.0
211
Tumor
0.0
1013
Tumor
0.0
422
Normal
0.0
778
Normal
0.0
755
Tumor
0.0
912
Normal
0.0
356
Normal
0.0
966
Normal
0.0
981
Tumor
0.0
313
Tumor
0.0
573
Tumor
0.0
433
Tumor
0.0
756
Normal
0.0
213
Tumor
0.0
217
Tumor
0.0
473
Tumor
0.0
517
Tumor
0.0
1026
Normal
0.0
964
Normal
0.0
864
Normal
0.0
926
Normal
0.0
925
Tumor
0.0
228
Normal
0.0
1022
Normal
0.0
494
Normal
0.0
127
Tumor
0.0
563
Tumor
0.0
526
Normal
0.0
915
Tumor
0.0
451
Tumor
0.0
112
Tumor
0.0
185
Tumor
0.0
314
Normal
0.0
284
Normal
0.0
918
Normal
0.0
461
Tumor
0.0
923
Tumor
0.0
482
Normal
0.0
1016
Normal
0.0
231
Tumor
0.0
628
Normal
0.0
824
Normal
0.0
171
Tumor
0.0
545
Tumor
0.0
862
Normal
0.0
1031
Tumor
0.0
423
Tumor
0.0
515
Tumor
0.0
977
Tumor
0.0
911
Tumor
0.0
558
Normal
0.0
866
Normal
0.0
416
Normal
0.0
938
Normal
0.0
728
Normal
0.0
484
Normal
0.0
738
Normal
0.0
455
Tumor
0.0
487
Tumor
0.0
714
Normal
0.0
1014
Normal
0.0
481
Tumor
0.0
572
Normal
0.0
568
Normal
0.0
425
Tumor
0.0
975
Tumor
0.0
858
Normal
0.0
368
Normal
0.0
431
Tumor
0.0
984
Normal
0.0
636
Normal
0.0
445
Tumor
0.0
271
Tumor
0.0
524
Normal
0.0
141
Tumor
0.0
412
Normal
0.0
462
Normal
0.0
648
Normal
0.0
963
Tumor
0.0
924
Normal
0.0
212
Normal
0.0
884
Normal
-0.1
328
Normal
-0.1
666
Normal
-0.1
867
Tumor
-0.1
191
Tumor
-0.1
514
Normal
-0.1
664
Normal
-0.1
428
Normal
-0.1
916
Normal
-0.1
882
Normal
-0.1
536
Normal
-0.1
616
Normal
-0.1
976
Normal
-0.1
447
Tumor
-0.1
365
Tumor
-0.1
1032
Normal
-0.1
922
Normal
-0.1
686
Normal
-0.1
742
Normal
-0.1
878
Normal
-0.1
518
Normal
-0.1
332
Normal
-0.1
465
Tumor
-0.1
944
Normal
-0.1
125
Tumor
-0.1
534
Normal
-0.1
474
Normal
-0.1
142
Normal
-0.1
232
Normal
-0.1
414
Normal
-0.1
448
Normal
-0.1
446
Normal
-0.1
722
Normal
-0.1
483
Tumor
-0.1
341
Tumor
-0.1
128
Normal
-0.1
635
Tumor
-0.1
868
Normal
-0.1
816
Normal
-0.1
436
Normal
-0.1
148
Normal
-0.1
716
Normal
-0.1
261
Tumor
-0.1
662
Normal
-0.1
162
Normal
-0.1
982
Normal
-0.1
364
Normal
-0.1
311
Tumor
-0.1
172
Normal
-0.1
618
Normal
-0.1
361
Tumor
-0.1
546
Normal
-0.1
917
Tumor
-0.1
958
Normal
-0.1
298
Normal
-0.1
352
Normal
-0.1
1044
Normal
-0.1
426
Normal
-0.1
818
Normal
-0.1
358
Normal
-0.1
642
Normal
-0.1
196
Normal
-0.1
218
Normal
-0.1
258
Normal
-0.1
472
Normal
-0.1
954
Normal
-0.1
214
Normal
-0.1
432
Normal
-0.1
224
Normal
-0.1
814
Normal
-0.1
498
Normal
-0.1
852
Normal
-0.1
132
Normal
-0.1
434
Normal
-0.1
444
Normal
-0.1
136
Normal
-0.1
564
Normal
-0.1
222
Normal
-0.1
857
Tumor
-0.1
343
Tumor
-0.1
262
Normal
-0.1
492
Normal
-0.1
186
Normal
-0.1
278
Normal
-0.1
466
Normal
-0.2
464
Normal
-0.2
627
Tumor
-0.2
344
Normal
-0.2
342
Normal
-0.2
396
Normal
-0.2
1046
Normal
-0.2
553
Tumor
-0.2
392
Normal
-0.2
785
Tumor
-0.2
956
Normal
-0.2
698
Normal
-0.2
874
Normal
-0.2
297
Tumor
-0.2
424
Normal
-0.2
574
Normal
-0.2
272
Normal
-0.2
554
Normal
-0.2
114
Normal
-0.2
952
Normal
-0.2
124
Normal
-0.2
695
Tumor
-0.2
111
Normal
-0.2
615
Tumor
-0.2
647
Tumor
-0.2
268
Normal
-0.2
516
Normal
-0.2
376
Normal
-0.2
914
Normal
-0.2
1042
Normal
-0.2
384
Normal
-0.2
394
Normal
-0.2
312
Normal
-0.2
672
Normal
-0.2
478
Normal
-0.2
1045
Tumor
-0.2
188
Normal
-0.2
388
Normal
-0.2
362
Normal
-0.2
354
Normal
-0.2
138
Normal
-0.2
452
Normal
-0.2
456
Normal
-0.2
126
Normal
-0.2
863
Tumor
-0.2
491
Tumor
-0.2
813
Tumor
-0.3
393
Tumor
-0.3
386
Normal
-0.3
468
Normal
-0.3
538
Normal
-0.3
744
Normal
-0.3
383
Tumor
-0.3
741
Tumor
-0.3
366
Normal
-0.3
146
Normal
-0.4
192
Normal
-0.4
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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.
The Human Protein Atlas project is funded
