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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.
HSPA8 is potential prognostic, high expression is unfavorable in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
432.9
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
1468.9
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
1358.1
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
1349.4
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
1232.0
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1230.1
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
1169.4
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
1132.4
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
1121.4
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
1029.3
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
955.6
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
936.7
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
915.5
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
889.4
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
883.8
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
871.3
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
869.7
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
864.8
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
845.5
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
838.2
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
829.6
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
828.0
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
824.0
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
823.9
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
816.2
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
809.4
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
804.5
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
802.1
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
798.1
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
787.2
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
785.0
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
780.7
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
758.6
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
749.0
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
748.4
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
747.7
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
744.2
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
744.2
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
739.6
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
738.3
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
734.6
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
725.1
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
722.2
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
714.7
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
711.3
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
704.3
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
702.5
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
702.1
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
693.2
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
689.5
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
686.4
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
685.0
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
670.0
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
669.9
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
669.8
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
656.7
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
653.3
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
652.0
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
650.6
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
638.2
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
637.8
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
634.1
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
627.4
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
619.8
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
619.2
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
616.7
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
616.6
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
612.2
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
609.1
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
607.3
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
604.0
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
603.9
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
602.5
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
602.1
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
599.6
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
597.1
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
592.2
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
591.7
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
586.8
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
584.1
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
583.5
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
578.8
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
578.6
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
571.1
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
570.1
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
569.1
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
565.0
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
563.9
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
561.3
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
561.2
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
556.4
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
555.3
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
552.6
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
550.8
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
548.8
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
534.1
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
532.2
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
531.4
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
530.1
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
529.8
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
529.1
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
529.0
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
527.7
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
527.0
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
526.6
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
525.5
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
520.6
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
519.1
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
510.9
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
502.4
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
500.3
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
499.1
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
497.2
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
493.3
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
491.1
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
488.2
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
487.7
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
482.8
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
482.8
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
482.7
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
482.5
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
482.4
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
480.8
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
480.0
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
478.3
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
476.0
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
475.3
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
472.5
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
471.8
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
468.2
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
463.1
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
461.8
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
461.4
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
459.9
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
457.3
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
455.5
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
453.2
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
453.2
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
451.3
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
449.8
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
449.5
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
448.9
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
448.3
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
446.0
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
440.9
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
440.8
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
440.8
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
439.7
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
439.6
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
439.1
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
439.1
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
438.6
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
438.4
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
437.8
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
437.3
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
437.2
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
435.4
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
435.2
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
431.4
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
431.1
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
428.3
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
427.2
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
423.4
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
419.4
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
418.9
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
418.8
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
418.3
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
418.3
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
416.7
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
414.4
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
411.2
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
409.6
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
406.8
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
404.7
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
403.9
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
403.6
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
400.7
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
400.4
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
399.5
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
398.1
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
396.5
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
395.8
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
394.2
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
393.2
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
393.1
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
392.7
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
390.3
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
386.1
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
385.4
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
384.2
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
380.9
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
380.6
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
380.4
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
380.1
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
380.0
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
379.5
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
379.0
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
371.8
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
371.5
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
371.4
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
371.3
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
370.4
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
369.2
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
369.2
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
367.0
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
367.0
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
366.6
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
365.8
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
365.6
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
365.6
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
363.2
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
362.2
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
362.2
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
362.1
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
361.7
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
361.5
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
360.6
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
357.0
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
355.7
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
355.2
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
354.7
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
349.3
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
349.3
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
347.9
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
339.9
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
339.0
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
337.6
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
336.4
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
335.7
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
334.7
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
334.0
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
330.7
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
329.2
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
328.6
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
327.3
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
326.6
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
323.8
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
322.9
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
322.7
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
321.0
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
320.2
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
318.5
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
316.3
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
314.2
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
312.6
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
311.6
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
310.0
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
308.5
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
307.2
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
307.1
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
306.4
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
303.4
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
302.5
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
300.2
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
299.9
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
299.4
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
299.2
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
298.9
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
297.8
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
297.4
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
296.9
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
296.6
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
295.6
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
295.5
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
294.2
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
294.0
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
291.0
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
290.5
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
289.6
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
287.6
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
285.4
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
285.2
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
281.0
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
280.3
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
280.1
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
276.4
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
275.3
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
268.7
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
266.2
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
265.9
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
262.2
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
261.3
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
258.1
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
256.6
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
255.7
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
255.3
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
248.7
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
240.1
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
238.7
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
238.3
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
236.8
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
236.4
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
233.3
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
231.2
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
229.2
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
226.5
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
225.8
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
225.5
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
225.2
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
223.2
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
221.8
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
221.3
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
217.8
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
213.8
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
212.9
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
212.8
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
212.3
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
210.5
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
210.5
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
210.0
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
207.5
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
206.4
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
204.3
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
203.3
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
201.7
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
198.7
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
197.5
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
194.5
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
189.0
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
186.9
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
182.0
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
181.2
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
180.0
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
176.4
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
174.3
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
173.8
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
170.9
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
164.7
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
163.5
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
163.5
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
160.8
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
160.1
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
158.9
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
158.0
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
152.3
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
150.4
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
149.3
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
140.2
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
140.0
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
138.5
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
135.5
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
126.1
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
125.4
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
123.7
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
123.2
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
111.5
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
106.0
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
104.2
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
92.5
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
90.8
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
89.6
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
86.4
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
85.4
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
83.7
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
66.1
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
65.7
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
61.0
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
57.7
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
54.8
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
41.9
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
41.1
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
39.4
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 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.
HSPA8 is not prognostic in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
921.5
Number of samples
231
Samples
Sample
Description
pTPM
DO48733
72 years, male, NA, stage:2, alive, 600 days
5147.2
DO45127
73 years, male, NA, stage:3, dead, 420 days
3293.9
DO23529
72 years, male, NA, stage:4, alive, 930 days
2706.8
DO23519
65 years, male, NA, stage:3, alive, 630 days
2258.7
DO45243
74 years, female, NA, stage:3, alive, 930 days
2229.2
DO48751
68 years, male, NA, stage:2, dead, 480 days
2215.3
DO48695
77 years, male, NA, stage:2, alive, 720 days
2161.1
DO50778
60 years, male, NA, stage:4, alive, 630 days
2059.0
DO45221
75 years, female, NA, stage:4, dead, 390 days
2006.3
DO23536
56 years, male, NA, stage:2, alive, 930 days
1891.0
DO45203
71 years, female, NA, stage:2, alive, 1170 days
1867.0
DO23552
80 years, female, NA, stage:1, alive, 810 days
1860.8
DO50774
68 years, female, NA, stage:2, alive, 720 days
1832.3
DO45299
70 years, female, NA, stage:1, alive, 1440 days
1796.4
DO50857
72 years, male, NA, stage:2, alive, 210 days
1764.1
DO45139
63 years, male, NA, stage:3, alive, 1320 days
1753.6
DO45213
58 years, male, NA, stage:1, alive, 1200 days
1669.3
DO48720
62 years, female, NA, stage:2, alive, 570 days
1666.0
DO45245
75 years, female, NA, stage:2, dead, 240 days
1641.3
DO45305
66 years, male, NA, stage:4, alive, 300 days
1640.7
DO45091
56 years, male, NA, stage:2, dead, 1320 days
1623.2
DO45159
65 years, male, NA, stage:3, alive, 1470 days
1603.5
DO23513
76 years, male, NA, stage:3, alive, 1200 days
1595.9
DO45231
84 years, male, NA, stage:2, alive, 930 days
1562.3
DO48730
73 years, female, NA, stage:2, alive, 630 days
1537.2
DO50832
73 years, male, NA, stage:3, alive, 90 days
1498.9
DO50829
78 years, male, NA, stage:3, alive, 570 days
1489.2
DO45155
69 years, male, NA, stage:2, alive, 2160 days
1478.7
DO45211
76 years, male, NA, stage:3, alive, 240 days
1466.4
DO45161
74 years, male, NA, stage:2, dead, 540 days
1458.5
DO23527
72 years, male, NA, stage:1, alive, 1050 days
1427.0
DO45235
68 years, female, NA, stage:1, alive, 900 days
1424.7
DO45227
57 years, female, NA, stage:2, alive, 1020 days
1420.7
DO45165
75 years, male, NA, stage:2, alive, 690 days
1402.6
DO50803
62 years, female, NA, stage:1, alive, 540 days
1396.8
DO45175
74 years, male, NA, stage:2, alive, 1140 days
1386.5
DO45173
63 years, male, NA, stage:3, alive, 1170 days
1385.8
DO45307
54 years, female, NA, stage:4, dead, 240 days
1376.7
DO45275
65 years, male, NA, stage:3, dead, 10 days
1375.7
DO23514
64 years, male, NA, stage:2, alive, 1290 days
1371.7
DO50820
77 years, female, NA, stage:3, alive, 510 days
1360.2
DO45279
67 years, male, NA, stage:3, alive, 1290 days
1345.5
DO50850
74 years, male, NA, stage:3, alive, 720 days
1344.8
DO45163
76 years, male, NA, stage:2, alive, 960 days
1327.3
DO23551
73 years, male, NA, stage:3, dead, 150 days
1316.3
DO45267
73 years, male, NA, stage:3, dead, 570 days
1301.4
DO45092
62 years, male, NA, stage:4, dead, 1200 days
1299.1
DO45303
62 years, female, NA, stage:3, alive, 990 days
1298.7
DO48728
74 years, female, NA, stage:2, alive, 150 days
1288.1
DO45135
77 years, male, NA, stage:1, alive, 1410 days
1286.2
DO23510
80 years, female, NA, stage:2, alive, 870 days
1286.0
DO45137
38 years, male, NA, stage:1, alive, 1320 days
1286.0
DO48704
68 years, female, NA, stage:3, alive, 750 days
1269.1
DO48732
73 years, male, NA, stage:3, alive, 630 days
1267.5
DO45283
60 years, male, NA, stage:3, alive, 510 days
1254.6
DO48757
68 years, female, NA, stage:3, alive, 480 days
1238.9
DO23542
66 years, male, NA, stage:3, alive, 960 days
1211.2
DO23541
65 years, male, NA, stage:2, alive, 930 days
1209.7
DO45223
67 years, male, NA, stage:4, alive, 1020 days
1190.4
DO50789
73 years, female, NA, stage:2, alive, 570 days
1184.5
DO48742
76 years, male, NA, stage:2, alive, 600 days
1172.3
DO50802
49 years, male, NA, stage:2, alive, 930 days
1160.8
DO45123
78 years, female, NA, stage:2, dead, 570 days
1132.9
DO45265
73 years, male, NA, stage:3, alive, 1020 days
1132.7
DO45257
46 years, male, NA, stage:3, alive, 810 days
1127.1
DO50808
68 years, male, NA, stage:2, alive, 570 days
1124.3
DO45219
78 years, male, NA, stage:2, alive, 1080 days
1124.2
DO45121
61 years, male, NA, stage:3, alive, 1530 days
1121.1
DO45189
85 years, female, NA, stage:2, alive, 1200 days
1118.3
DO45183
72 years, female, NA, stage:2, dead, 570 days
1110.2
DO50807
67 years, male, NA, stage:1, alive, 540 days
1107.1
DO48743
69 years, female, NA, stage:2, alive, 570 days
1096.1
DO45197
51 years, male, NA, stage:2, alive, 1170 days
1093.1
DO23550
69 years, male, NA, stage:1, alive, 990 days
1083.4
DO45269
59 years, male, NA, stage:3, alive, 750 days
1083.1
DO45201
49 years, male, NA, stage:1, alive, 900 days
1060.4
DO45187
32 years, female, NA, stage:1, alive, 1260 days
1059.2
DO45117
73 years, female, NA, stage:2, dead, 1110 days
1056.7
DO45237
58 years, male, NA, stage:2, alive, 900 days
1056.4
DO23523
52 years, male, NA, stage:3, alive, 1080 days
1055.3
DO23521
63 years, male, NA, stage:3, alive, 1110 days
1050.5
DO23547
74 years, male, NA, stage:1, alive, 1020 days
1032.1
DO50819
72 years, female, NA, stage:2, alive, 510 days
1018.8
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1015.2
DO48706
72 years, male, NA, stage:2, alive, 870 days
1010.6
DO45207
68 years, male, NA, stage:1, alive, 1050 days
994.5
DO45133
64 years, male, NA, stage:3, dead, 660 days
993.5
DO45287
74 years, male, NA, stage:1, alive, 390 days
986.8
DO48725
66 years, male, NA, stage:1, alive, 780 days
979.4
DO23508
79 years, female, NA, stage:2, alive, 390 days
964.7
DO45273
62 years, male, NA, stage:2, alive, 480 days
956.0
DO50825
70 years, male, NA, stage:2, alive, 390 days
955.4
DO45205
67 years, female, NA, stage:2, dead, 90 days
952.5
DO45153
77 years, female, NA, stage:2, alive, 1380 days
943.1
DO48727
81 years, female, NA, stage:2, dead, 390 days
938.4
DO50822
66 years, male, NA, stage:2, alive, 510 days
921.8
DO48681
57 years, male, NA, stage:2, alive, 900 days
912.3
DO48701
78 years, male, NA, stage:2, alive, 780 days
910.8
DO48700
78 years, female, NA, stage:2, alive, 810 days
907.4
DO48747
62 years, male, NA, stage:3, alive, 540 days
906.3
DO50804
81 years, male, NA, stage:2, alive, 720 days
901.8
DO45171
56 years, male, NA, stage:3, alive, 600 days
896.2
DO45239
42 years, male, NA, stage:2, alive, 870 days
879.1
DO45225
69 years, male, NA, stage:1, alive, 1050 days
878.9
DO45113
58 years, male, NA, stage:3, alive, 1560 days
878.7
DO45229
74 years, male, NA, stage:1, alive, 990 days
877.9
DO23545
67 years, male, NA, stage:2, dead, 570 days
875.4
DO45119
74 years, male, NA, stage:3, dead, 510 days
873.6
DO48672
81 years, male, NA, stage:2, alive, 450 days
870.6
DO50805
72 years, male, NA, stage:2, alive, 690 days
865.0
DO45261
74 years, male, NA, stage:3, alive, 990 days
848.5
DO50809
56 years, male, NA, stage:3, dead, 720 days
844.9
DO45259
65 years, male, NA, stage:3, alive, 330 days
841.3
DO50806
70 years, male, NA, stage:4, alive, 540 days
840.9
DO50798
77 years, male, NA, stage:3, dead, 30 days
839.6
DO50787
63 years, male, NA, stage:3, alive, 480 days
834.1
DO48736
76 years, female, NA, stage:1, alive, 600 days
827.5
DO45141
73 years, male, NA, stage:2, alive, 1320 days
823.4
DO23524
71 years, female, NA, stage:2, alive, 1050 days
821.7
DO45297
61 years, female, NA, stage:4, dead, 1260 days
818.5
DO48761
55 years, male, NA, stage:2, alive, 870 days
816.4
DO45193
68 years, female, NA, stage:4, dead, 120 days
815.2
DO23530
53 years, male, NA, stage:4, dead, 180 days
810.3
DO48712
50 years, male, NA, stage:2, alive, 810 days
807.3
DO45177
81 years, female, NA, stage:3, alive, 1260 days
803.3
DO45129
61 years, male, NA, stage:3, alive, 1470 days
799.0
DO45169
74 years, male, NA, stage:3, alive, 1350 days
791.8
DO23537
79 years, male, NA, stage:2, dead, 900 days
780.3
DO23535
67 years, male, NA, stage:1, alive, 960 days
780.0
DO45179
78 years, female, NA, stage:2, alive, 600 days
778.6
DO45199
86 years, female, NA, stage:2, alive, 1350 days
775.3
DO48760
70 years, female, NA, stage:2, alive, 690 days
768.1
DO50800
74 years, male, NA, stage:2, alive, 510 days
765.7
DO48682
72 years, female, NA, stage:3, dead, 120 days
762.5
DO48715
58 years, female, NA, stage:2, dead, 690 days
760.8
DO45143
69 years, male, NA, stage:3, alive, 1290 days
760.0
DO45289
78 years, female, NA, stage:3, alive, 360 days
759.1
DO45157
62 years, male, NA, stage:2, alive, 1980 days
750.4
DO23515
71 years, male, NA, stage:2, alive, 1230 days
746.1
DO50815
62 years, male, NA, stage:3, alive, 150 days
740.1
DO23518
67 years, male, NA, stage:2, alive, 1320 days
739.8
DO23528
45 years, female, NA, stage:2, alive, 1020 days
738.8
DO50776
75 years, male, NA, stage:1, alive, 690 days
738.7
DO50855
47 years, male, NA, stage:2, alive, 570 days
737.4
DO45094
76 years, male, NA, stage:3, alive, 1650 days
732.7
DO48719
80 years, male, NA, stage:2, alive, 690 days
725.5
DO50844
75 years, male, NA, stage:4, alive, 300 days
720.6
DO45233
83 years, male, NA, stage:3, alive, 900 days
719.5
DO45095
66 years, male, NA, stage:2, alive, 1620 days
718.3
DO50840
49 years, male, NA, stage:2, alive, 330 days
717.1
DO45099
46 years, male, NA, stage:3, alive, 1590 days
707.9
DO45247
31 years, female, NA, stage:2, alive, 210 days
701.1
DO48717
54 years, male, NA, stage:4, dead, 180 days
698.1
DO23538
67 years, male, NA, stage:2, alive, 450 days
690.4
DO23531
78 years, female, NA, stage:3, alive, 900 days
690.1
DO45185
89 years, male, NA, stage:2, alive, 600 days
660.5
DO50793
76 years, male, NA, stage:4, alive, 540 days
658.0
DO50785
37 years, male, NA, stage:4, dead, 90 days
655.0
DO45249
57 years, male, NA, stage:1, alive, 630 days
642.2
DO45251
57 years, female, NA, stage:2, alive, 900 days
640.7
DO45301
56 years, male, NA, stage:2, dead, 1440 days
636.7
DO45253
50 years, male, NA, stage:2, alive, 870 days
636.7
DO48679
72 years, male, NA, stage:2, alive, 1200 days
632.8
DO45181
84 years, female, NA, stage:2, alive, 1200 days
615.9
DO45096
69 years, male, NA, stage:2, dead, 1290 days
612.3
DO50799
66 years, female, NA, stage:2, alive, 540 days
611.0
DO50791
79 years, female, NA, stage:1, dead, 480 days
600.3
DO227801
77 years, female, NA, stage:1, alive, 660 days
594.6
DO23509
60 years, male, NA, stage:3, dead, 780 days
592.4
DO45281
83 years, male, NA, stage:4, alive, 750 days
588.7
DO45131
53 years, male, NA, stage:4, dead, 360 days
580.9
DO48697
64 years, female, NA, stage:2, dead, 810 days
580.8
DO23546
63 years, male, NA, stage:2, alive, 1050 days
566.2
DO45285
59 years, male, NA, stage:3, alive, 480 days
563.4
DO45097
69 years, male, NA, stage:3, alive, 1620 days
546.0
DO45263
67 years, male, NA, stage:3, dead, 270 days
536.1
DO48677
58 years, male, NA, stage:3, alive, 1140 days
525.9
DO48716
71 years, male, NA, stage:2, alive, 720 days
523.8
DO50859
77 years, male, NA, stage:2, alive, 180 days
504.4
DO50839
47 years, female, NA, stage:3, alive, 330 days
480.6
DO45115
81 years, male, NA, stage:2, alive, 840 days
468.1
DO50818
65 years, male, NA, stage:2, alive, 510 days
467.7
DO23549
74 years, male, NA, stage:3, alive, 990 days
459.7
DO45195
62 years, male, NA, stage:1, alive, 390 days
457.1
DO48723
73 years, male, NA, stage:1, alive, 600 days
456.0
DO45093
71 years, male, NA, stage:2, dead, 720 days
441.5
DO45191
61 years, female, NA, stage:2, alive, 1200 days
436.7
DO45215
65 years, male, NA, stage:2, alive, 1170 days
430.9
DO45277
64 years, male, NA, stage:3, alive, 600 days
416.6
DO48759
73 years, male, NA, stage:3, alive, 720 days
411.1
DO45217
69 years, female, NA, stage:3, dead, 270 days
402.9
DO23540
73 years, male, NA, stage:1, alive, 750 days
400.6
DO50845
72 years, male, NA, stage:3, alive, 210 days
398.8
DO48674
80 years, male, NA, stage:2, alive, 1260 days
396.5
DO45255
81 years, male, NA, stage:3, alive, 720 days
388.0
DO23511
83 years, female, NA, stage:3, dead, 180 days
387.6
DO48721
58 years, female, NA, stage:1, alive, 900 days
384.1
DO48737
52 years, male, NA, stage:1, alive, 720 days
361.9
DO23526
66 years, male, NA, stage:3, alive, 1050 days
355.0
DO45145
78 years, male, NA, stage:3, dead, 60 days
342.8
DO23543
63 years, male, NA, stage:2, alive, 1020 days
326.6
DO50783
62 years, male, NA, stage:3, alive, 480 days
323.7
DO48741
64 years, male, NA, stage:3, alive, 240 days
320.2
DO45209
70 years, male, NA, stage:4, alive, 1350 days
319.8
DO45103
47 years, male, NA, stage:3, alive, 450 days
311.7
DO45111
74 years, male, NA, stage:2, alive, 1590 days
300.6
DO50816
63 years, male, NA, stage:2, alive, 390 days
295.0
DO45149
70 years, female, NA, stage:2, alive, 1260 days
285.8
DO23533
61 years, male, NA, stage:2, alive, 900 days
275.8
DO50813
56 years, male, NA, stage:2, alive, 420 days
271.9
DO45109
63 years, male, NA, stage:2, alive, 1590 days
264.8
DO23516
69 years, male, NA, stage:3, dead, 20 days
254.3
DO45101
63 years, male, NA, stage:2, alive, 1680 days
238.4
DO48746
76 years, male, NA, stage:3, alive, 570 days
237.6
DO45125
58 years, male, NA, stage:3, alive, 1680 days
218.0
DO50811
62 years, male, NA, stage:1, alive, 450 days
213.5
DO23534
60 years, male, NA, stage:2, alive, 840 days
211.1
DO48693
71 years, male, NA, stage:2, alive, 900 days
182.9
DO45107
63 years, female, NA, stage:2, alive, 1710 days
180.8
DO23544
67 years, male, NA, stage:2, alive, 960 days
178.4
DO227643
79 years, male, NA, stage:2, alive, 1260 days
157.6
DO45167
67 years, male, NA, stage:2, dead, 1440 days
155.1
DO23517
62 years, male, NA, stage:2, alive, 1200 days
151.6
DO45241
49 years, male, NA, stage:1, alive, 1080 days
148.2
DO23548
78 years, female, NA, stage:1, alive, 840 days
146.6
DO23539
77 years, male, NA, stage:1, alive, 1110 days
144.6
DO50817
75 years, male, NA, stage:2, alive, 390 days
117.7
DO23512
60 years, male, NA, stage:1, alive, 1260 days
107.0
DO50814
83 years, male, NA, stage:3, alive, 420 days
104.9
DO23532
71 years, female, NA, stage:1, alive, 960 days
100.6
DO45105
61 years, male, NA, stage:1, alive, 1680 days
76.1
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
925
Tumor
0.4
227
Tumor
0.4
745
Tumor
0.4
865
Tumor
0.3
471
Tumor
0.3
533
Tumor
0.3
223
Tumor
0.3
443
Tumor
0.3
617
Tumor
0.3
957
Tumor
0.2
473
Tumor
0.2
537
Tumor
0.2
567
Tumor
0.2
1027
Tumor
0.2
161
Tumor
0.2
697
Tumor
0.2
535
Tumor
0.2
513
Tumor
0.2
211
Tumor
0.2
231
Tumor
0.2
313
Tumor
0.2
851
Tumor
0.2
327
Tumor
0.2
283
Tumor
0.2
212
Normal
0.2
978
Normal
0.2
955
Tumor
0.2
1043
Tumor
0.2
823
Tumor
0.2
523
Tumor
0.2
257
Tumor
0.1
353
Tumor
0.1
755
Tumor
0.1
1025
Tumor
0.1
518
Normal
0.1
286
Normal
0.1
145
Tumor
0.1
395
Tumor
0.1
363
Tumor
0.1
517
Tumor
0.1
1021
Tumor
0.1
525
Tumor
0.1
487
Tumor
0.1
482
Normal
0.1
514
Normal
0.1
777
Tumor
0.1
965
Tumor
0.1
228
Normal
0.1
553
Tumor
0.1
331
Tumor
0.1
497
Tumor
0.1
1026
Normal
0.1
557
Tumor
0.1
913
Tumor
0.1
147
Tumor
0.1
1042
Normal
0.1
926
Normal
0.1
185
Tumor
0.1
983
Tumor
0.1
1013
Tumor
0.1
982
Normal
0.1
448
Normal
0.1
284
Normal
0.1
912
Normal
0.1
663
Tumor
0.1
135
Tumor
0.1
661
Tumor
0.1
824
Normal
0.1
515
Tumor
0.1
385
Tumor
0.1
573
Tumor
0.1
1044
Normal
0.1
421
Tumor
0.1
864
Normal
0.1
815
Tumor
0.1
472
Normal
0.1
127
Tumor
0.1
884
Normal
0.1
224
Normal
0.1
916
Normal
0.1
964
Normal
0.1
635
Tumor
0.1
311
Tumor
0.0
474
Normal
0.0
956
Normal
0.0
534
Normal
0.0
918
Normal
0.0
484
Normal
0.0
756
Normal
0.0
488
Normal
0.0
526
Normal
0.0
1041
Tumor
0.0
937
Tumor
0.0
563
Tumor
0.0
713
Tumor
0.0
528
Normal
0.0
858
Normal
0.0
1032
Normal
0.0
356
Normal
0.0
976
Normal
0.0
944
Normal
0.0
882
Normal
0.0
966
Normal
0.0
332
Normal
0.0
123
Tumor
0.0
447
Tumor
0.0
524
Normal
0.0
462
Normal
0.0
728
Normal
0.0
778
Normal
0.0
981
Tumor
0.0
1014
Normal
0.0
698
Normal
0.0
737
Tumor
0.0
478
Normal
0.0
911
Tumor
0.0
364
Normal
0.0
411
Tumor
0.0
1028
Normal
0.0
963
Tumor
0.0
328
Normal
0.0
113
Tumor
0.0
665
Tumor
0.0
923
Tumor
0.0
455
Tumor
0.0
483
Tumor
0.0
1022
Normal
0.0
481
Tumor
0.0
922
Normal
0.0
285
Tumor
0.0
477
Tumor
0.0
852
Normal
0.0
137
Tumor
0.0
915
Tumor
0.0
187
Tumor
0.0
217
Tumor
0.0
873
Tumor
0.0
738
Normal
0.0
958
Normal
0.0
786
Normal
0.0
351
Tumor
0.0
494
Normal
0.0
416
Normal
0.0
536
Normal
0.0
361
Tumor
0.0
953
Tumor
0.0
546
Normal
0.0
868
Normal
0.0
723
Tumor
0.0
314
Normal
0.0
1016
Normal
0.0
866
Normal
0.0
527
Tumor
0.0
213
Tumor
0.0
641
Tumor
0.0
968
Normal
0.0
722
Normal
0.0
818
Normal
0.0
415
Tumor
0.0
451
Tumor
0.0
715
Tumor
0.0
938
Normal
0.0
1046
Normal
0.0
954
Normal
0.0
493
Tumor
0.0
267
Tumor
0.0
984
Normal
0.0
696
Normal
0.0
428
Normal
0.0
412
Normal
0.0
1031
Tumor
0.0
943
Tumor
0.0
355
Tumor
0.0
367
Tumor
0.0
387
Tumor
0.0
435
Tumor
0.0
297
Tumor
0.0
196
Normal
0.0
191
Tumor
0.0
742
Normal
0.0
558
Normal
0.0
628
Normal
-0.1
516
Normal
-0.1
375
Tumor
-0.1
492
Normal
-0.1
461
Tumor
-0.1
746
Normal
-0.1
814
Normal
-0.1
343
Tumor
-0.1
427
Tumor
-0.1
394
Normal
-0.1
491
Tumor
-0.1
171
Tumor
-0.1
414
Normal
-0.1
951
Tumor
-0.1
917
Tumor
-0.1
172
Normal
-0.1
648
Normal
-0.1
816
Normal
-0.1
131
Tumor
-0.1
721
Tumor
-0.1
863
Tumor
-0.1
312
Normal
-0.1
921
Tumor
-0.1
358
Normal
-0.1
785
Tumor
-0.1
262
Normal
-0.1
222
Normal
-0.1
422
Normal
-0.1
874
Normal
-0.1
862
Normal
-0.1
498
Normal
-0.1
714
Normal
-0.1
1045
Tumor
-0.1
424
Normal
-0.1
924
Normal
-0.1
188
Normal
-0.1
572
Normal
-0.1
423
Tumor
-0.1
432
Normal
-0.1
724
Normal
-0.1
881
Tumor
-0.1
554
Normal
-0.1
362
Normal
-0.1
218
Normal
-0.1
463
Tumor
-0.1
538
Normal
-0.1
272
Normal
-0.1
258
Normal
-0.1
571
Tumor
-0.1
298
Normal
-0.1
136
Normal
-0.1
142
Normal
-0.1
268
Normal
-0.1
716
Normal
-0.1
727
Tumor
-0.1
564
Normal
-0.1
195
Tumor
-0.1
436
Normal
-0.1
138
Normal
-0.1
952
Normal
-0.1
278
Normal
-0.1
695
Tumor
-0.1
446
Normal
-0.1
128
Normal
-0.1
878
Normal
-0.1
686
Normal
-0.1
232
Normal
-0.1
277
Tumor
-0.1
162
Normal
-0.1
452
Normal
-0.1
813
Tumor
-0.1
627
Tumor
-0.1
1015
Tumor
-0.1
341
Tumor
-0.1
434
Normal
-0.1
214
Normal
-0.1
467
Tumor
-0.1
857
Tumor
-0.1
568
Normal
-0.1
376
Normal
-0.1
388
Normal
-0.1
967
Tumor
-0.1
396
Normal
-0.1
861
Tumor
-0.1
433
Tumor
-0.1
357
Tumor
-0.1
391
Tumor
-0.1
271
Tumor
-0.1
466
Normal
-0.1
685
Tumor
-0.1
464
Normal
-0.1
618
Normal
-0.1
743
Tumor
-0.1
817
Tumor
-0.1
616
Normal
-0.1
352
Normal
-0.1
132
Normal
-0.1
413
Tumor
-0.1
148
Normal
-0.1
261
Tumor
-0.2
647
Tumor
-0.2
368
Normal
-0.2
545
Tumor
-0.2
186
Normal
-0.2
126
Normal
-0.2
914
Normal
-0.2
615
Tumor
-0.2
883
Tumor
-0.2
125
Tumor
-0.2
386
Normal
-0.2
114
Normal
-0.2
384
Normal
-0.2
393
Tumor
-0.2
636
Normal
-0.2
112
Tumor
-0.2
141
Tumor
-0.2
664
Normal
-0.2
431
Tumor
-0.2
666
Normal
-0.2
662
Normal
-0.2
426
Normal
-0.2
877
Tumor
-0.2
392
Normal
-0.2
111
Normal
-0.2
977
Tumor
-0.2
366
Normal
-0.2
574
Normal
-0.2
444
Normal
-0.2
342
Normal
-0.2
146
Normal
-0.2
465
Tumor
-0.2
671
Tumor
-0.2
221
Tumor
-0.2
354
Normal
-0.2
468
Normal
-0.2
642
Normal
-0.2
975
Tumor
-0.2
192
Normal
-0.2
425
Tumor
-0.2
344
Normal
-0.2
456
Normal
-0.2
124
Normal
-0.2
867
Tumor
-0.2
365
Tumor
-0.3
383
Tumor
-0.3
445
Tumor
-0.3
672
Normal
-0.3
744
Normal
-0.3
741
Tumor
-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.