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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.
PRDX1 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
694.7
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
3874.4
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
2484.5
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
2153.8
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
2149.7
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
2009.4
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
1886.3
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
1884.9
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
1732.9
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
1724.8
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
1676.5
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
1645.9
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
1641.2
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
1639.4
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
1600.4
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
1556.8
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
1520.3
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1515.9
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
1514.1
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
1448.9
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
1426.8
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1424.5
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
1390.1
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
1349.5
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
1338.0
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1337.7
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
1333.1
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
1297.0
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
1291.1
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1262.7
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1261.2
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
1244.8
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
1229.0
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
1228.0
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
1204.3
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
1188.8
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
1173.4
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
1135.5
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
1124.4
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1120.0
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
1117.1
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
1081.2
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
1072.6
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
1069.1
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
1065.0
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
1063.9
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
1056.4
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
1037.1
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
1030.3
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
1022.0
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
1008.3
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
1005.6
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
1002.5
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
997.5
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
996.5
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
987.0
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
986.7
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
980.5
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
979.9
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
975.7
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
973.8
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
972.2
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
968.3
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
961.8
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
952.9
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
951.6
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
949.9
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
940.6
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
935.8
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
935.1
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
931.5
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
930.1
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
914.7
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
914.0
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
902.8
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
896.1
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
889.9
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
888.9
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
884.5
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
878.3
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
869.9
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
867.0
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
866.8
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
865.8
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
861.8
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
861.8
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
856.6
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
854.0
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
852.7
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
851.8
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
851.5
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
849.2
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
840.8
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
839.8
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
838.2
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
837.1
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
836.1
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
828.4
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
826.9
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
824.3
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
821.1
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
818.1
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
812.8
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
810.0
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
808.0
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
801.5
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
800.4
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
798.8
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
795.9
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
791.4
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
791.0
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
789.0
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
788.2
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
778.5
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
776.0
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
767.1
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
766.3
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
765.7
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
764.8
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
760.4
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
759.1
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
758.3
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
756.1
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
755.2
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
753.1
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
752.9
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
750.7
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
748.9
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
743.2
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
741.6
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
736.5
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
736.1
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
736.0
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
727.3
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
716.5
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
712.5
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
710.8
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
703.2
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
702.1
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
701.2
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
698.9
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
698.9
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
698.1
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
697.4
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
694.2
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
693.7
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
687.3
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
685.4
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
683.2
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
682.5
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
682.3
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
680.0
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
676.5
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
673.1
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
667.1
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
663.0
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
662.9
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
661.4
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
660.0
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
659.3
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
654.9
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
654.8
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
649.9
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
649.1
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
646.3
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
645.9
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
640.6
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
638.4
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
636.7
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
635.1
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
633.8
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
633.3
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
631.6
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
631.4
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
628.9
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
628.9
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
628.8
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
624.2
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
624.1
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
621.0
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
618.7
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
615.1
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
615.0
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
612.6
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
608.2
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
603.4
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
603.2
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
598.2
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
598.1
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
596.6
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
595.5
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
594.1
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
592.1
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
590.2
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
588.4
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
583.6
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
581.8
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
581.6
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
579.5
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
576.3
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
576.1
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
570.7
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
563.8
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
563.5
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
562.5
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
555.6
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
554.7
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
554.1
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
553.0
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
552.0
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
551.7
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
551.4
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
546.8
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
542.8
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
541.6
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
540.0
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
538.1
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
537.8
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
537.8
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
536.5
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
536.2
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
535.9
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
535.7
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
532.7
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
529.4
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
526.2
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
525.4
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
524.5
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
520.1
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
519.4
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
519.2
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
516.5
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
516.1
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
515.6
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
515.2
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
514.5
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
510.5
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
510.4
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
503.0
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
501.3
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
500.0
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
496.3
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
494.1
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
493.5
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
492.2
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
491.2
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
489.9
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
488.5
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
488.1
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
485.6
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
481.8
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
476.3
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
475.4
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
474.3
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
472.8
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
470.6
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
466.8
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
466.6
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
463.7
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
461.3
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
460.4
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
460.3
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
458.9
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
456.2
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
455.6
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
455.5
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
451.7
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
451.5
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
443.4
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
442.1
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
441.2
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
436.0
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
434.9
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
433.9
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
432.9
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
429.2
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
423.4
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
422.7
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
422.6
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
421.5
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
420.2
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
417.3
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
412.9
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
411.6
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
409.7
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
406.4
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
401.1
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
397.9
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
395.5
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
393.9
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
391.8
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
390.5
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
388.7
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
388.1
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
385.4
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
381.3
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
381.0
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
379.7
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
379.6
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
377.4
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
370.6
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
369.9
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
369.5
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
356.6
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
353.0
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
353.0
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
350.7
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
345.7
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
343.2
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
341.5
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
335.8
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
334.3
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
332.8
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
332.5
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
328.4
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
328.2
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
327.8
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
326.0
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
321.0
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
320.2
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
320.2
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
319.6
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
318.9
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
317.3
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
315.8
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
306.8
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
303.9
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
295.6
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
295.1
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
295.0
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
288.0
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
285.7
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
283.7
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
279.2
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
276.2
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
274.0
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
273.0
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
272.0
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
271.3
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
266.9
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
266.2
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
261.6
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
255.1
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
253.0
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
250.6
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
249.4
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
248.0
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
247.9
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
242.8
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
238.0
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
233.2
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
231.7
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
227.7
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
220.6
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
219.7
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
215.2
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
199.3
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
198.9
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
188.9
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
187.3
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
180.5
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
164.6
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 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.
PRDX1 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
840.0
Number of samples
231
Samples
Sample
Description
pTPM
DO45145
78 years, male, NA, stage:3, dead, 60 days
2968.7
DO23519
65 years, male, NA, stage:3, alive, 630 days
2547.9
DO45267
73 years, male, NA, stage:3, dead, 570 days
2165.4
DO45245
75 years, female, NA, stage:2, dead, 240 days
1910.7
DO45299
70 years, female, NA, stage:1, alive, 1440 days
1854.9
DO48741
64 years, male, NA, stage:3, alive, 240 days
1853.8
DO45211
76 years, male, NA, stage:3, alive, 240 days
1798.8
DO45297
61 years, female, NA, stage:4, dead, 1260 days
1771.3
DO50825
70 years, male, NA, stage:2, alive, 390 days
1717.7
DO45221
75 years, female, NA, stage:4, dead, 390 days
1685.1
DO45277
64 years, male, NA, stage:3, alive, 600 days
1649.9
DO50791
79 years, female, NA, stage:1, dead, 480 days
1646.4
DO23521
63 years, male, NA, stage:3, alive, 1110 days
1579.7
DO45093
71 years, male, NA, stage:2, dead, 720 days
1536.8
DO45205
67 years, female, NA, stage:2, dead, 90 days
1514.7
DO23508
79 years, female, NA, stage:2, alive, 390 days
1489.8
DO50799
66 years, female, NA, stage:2, alive, 540 days
1473.7
DO45163
76 years, male, NA, stage:2, alive, 960 days
1466.7
DO45257
46 years, male, NA, stage:3, alive, 810 days
1416.2
DO45287
74 years, male, NA, stage:1, alive, 390 days
1397.6
DO23539
77 years, male, NA, stage:1, alive, 1110 days
1380.1
DO48757
68 years, female, NA, stage:3, alive, 480 days
1365.0
DO45225
69 years, male, NA, stage:1, alive, 1050 days
1357.0
DO50778
60 years, male, NA, stage:4, alive, 630 days
1339.8
DO48700
78 years, female, NA, stage:2, alive, 810 days
1313.0
DO50832
73 years, male, NA, stage:3, alive, 90 days
1304.8
DO45281
83 years, male, NA, stage:4, alive, 750 days
1294.0
DO45143
69 years, male, NA, stage:3, alive, 1290 days
1277.2
DO50829
78 years, male, NA, stage:3, alive, 570 days
1267.8
DO45253
50 years, male, NA, stage:2, alive, 870 days
1264.0
DO50806
70 years, male, NA, stage:4, alive, 540 days
1259.9
DO45139
63 years, male, NA, stage:3, alive, 1320 days
1255.3
DO50840
49 years, male, NA, stage:2, alive, 330 days
1248.0
DO23537
79 years, male, NA, stage:2, dead, 900 days
1240.8
DO50822
66 years, male, NA, stage:2, alive, 510 days
1238.9
DO23510
80 years, female, NA, stage:2, alive, 870 days
1235.4
DO50802
49 years, male, NA, stage:2, alive, 930 days
1232.0
DO48704
68 years, female, NA, stage:3, alive, 750 days
1207.0
DO23552
80 years, female, NA, stage:1, alive, 810 days
1192.9
DO23523
52 years, male, NA, stage:3, alive, 1080 days
1182.3
DO50776
75 years, male, NA, stage:1, alive, 690 days
1173.8
DO50814
83 years, male, NA, stage:3, alive, 420 days
1172.0
DO50839
47 years, female, NA, stage:3, alive, 330 days
1164.6
DO48723
73 years, male, NA, stage:1, alive, 600 days
1163.4
DO45249
57 years, male, NA, stage:1, alive, 630 days
1129.8
DO45127
73 years, male, NA, stage:3, dead, 420 days
1125.8
DO45269
59 years, male, NA, stage:3, alive, 750 days
1120.3
DO45171
56 years, male, NA, stage:3, alive, 600 days
1119.5
DO23526
66 years, male, NA, stage:3, alive, 1050 days
1110.9
DO48747
62 years, male, NA, stage:3, alive, 540 days
1101.1
DO50805
72 years, male, NA, stage:2, alive, 690 days
1100.0
DO23542
66 years, male, NA, stage:3, alive, 960 days
1095.0
DO48720
62 years, female, NA, stage:2, alive, 570 days
1081.3
DO23518
67 years, male, NA, stage:2, alive, 1320 days
1081.2
DO50818
65 years, male, NA, stage:2, alive, 510 days
1081.2
DO45165
75 years, male, NA, stage:2, alive, 690 days
1074.9
DO45219
78 years, male, NA, stage:2, alive, 1080 days
1068.0
DO50815
62 years, male, NA, stage:3, alive, 150 days
1066.0
DO45235
68 years, female, NA, stage:1, alive, 900 days
1060.5
DO48732
73 years, male, NA, stage:3, alive, 630 days
1051.6
DO45123
78 years, female, NA, stage:2, dead, 570 days
1051.4
DO45175
74 years, male, NA, stage:2, alive, 1140 days
1050.3
DO23549
74 years, male, NA, stage:3, alive, 990 days
1031.9
DO48695
77 years, male, NA, stage:2, alive, 720 days
1029.5
DO45173
63 years, male, NA, stage:3, alive, 1170 days
1026.5
DO48697
64 years, female, NA, stage:2, dead, 810 days
1021.4
DO50811
62 years, male, NA, stage:1, alive, 450 days
1019.8
DO45133
64 years, male, NA, stage:3, dead, 660 days
1012.2
DO23533
61 years, male, NA, stage:2, alive, 900 days
1009.8
DO50808
68 years, male, NA, stage:2, alive, 570 days
1007.6
DO50783
62 years, male, NA, stage:3, alive, 480 days
999.7
DO45185
89 years, male, NA, stage:2, alive, 600 days
998.9
DO45092
62 years, male, NA, stage:4, dead, 1200 days
986.8
DO23514
64 years, male, NA, stage:2, alive, 1290 days
986.0
DO23540
73 years, male, NA, stage:1, alive, 750 days
982.0
DO45095
66 years, male, NA, stage:2, alive, 1620 days
980.1
DO45097
69 years, male, NA, stage:3, alive, 1620 days
978.5
DO23509
60 years, male, NA, stage:3, dead, 780 days
977.2
DO45193
68 years, female, NA, stage:4, dead, 120 days
970.5
DO45273
62 years, male, NA, stage:2, alive, 480 days
965.3
DO45129
61 years, male, NA, stage:3, alive, 1470 days
953.9
DO23525
71 years, male, NA, stage:4, alive, 1050 days
950.9
DO50809
56 years, male, NA, stage:3, dead, 720 days
937.8
DO45099
46 years, male, NA, stage:3, alive, 1590 days
922.1
DO50787
63 years, male, NA, stage:3, alive, 480 days
915.7
DO45135
77 years, male, NA, stage:1, alive, 1410 days
915.1
DO50785
37 years, male, NA, stage:4, dead, 90 days
914.4
DO48751
68 years, male, NA, stage:2, dead, 480 days
910.2
DO23513
76 years, male, NA, stage:3, alive, 1200 days
905.8
DO45157
62 years, male, NA, stage:2, alive, 1980 days
896.9
DO45301
56 years, male, NA, stage:2, dead, 1440 days
895.5
DO48672
81 years, male, NA, stage:2, alive, 450 days
895.4
DO45307
54 years, female, NA, stage:4, dead, 240 days
892.7
DO23541
65 years, male, NA, stage:2, alive, 930 days
884.4
DO50798
77 years, male, NA, stage:3, dead, 30 days
870.0
DO45155
69 years, male, NA, stage:2, alive, 2160 days
865.8
DO45149
70 years, female, NA, stage:2, alive, 1260 days
859.6
DO45119
74 years, male, NA, stage:3, dead, 510 days
852.2
DO50803
62 years, female, NA, stage:1, alive, 540 days
849.6
DO48712
50 years, male, NA, stage:2, alive, 810 days
848.4
DO45275
65 years, male, NA, stage:3, dead, 10 days
845.1
DO48679
72 years, male, NA, stage:2, alive, 1200 days
832.7
DO50819
72 years, female, NA, stage:2, alive, 510 days
831.7
DO45161
74 years, male, NA, stage:2, dead, 540 days
830.5
DO23546
63 years, male, NA, stage:2, alive, 1050 days
823.8
DO50807
67 years, male, NA, stage:1, alive, 540 days
823.6
DO23547
74 years, male, NA, stage:1, alive, 1020 days
821.4
DO50813
56 years, male, NA, stage:2, alive, 420 days
803.7
DO48682
72 years, female, NA, stage:3, dead, 120 days
803.0
DO48728
74 years, female, NA, stage:2, alive, 150 days
797.6
DO48719
80 years, male, NA, stage:2, alive, 690 days
797.6
DO45217
69 years, female, NA, stage:3, dead, 270 days
796.2
DO23529
72 years, male, NA, stage:4, alive, 930 days
793.4
DO48716
71 years, male, NA, stage:2, alive, 720 days
788.4
DO48717
54 years, male, NA, stage:4, dead, 180 days
787.8
DO45229
74 years, male, NA, stage:1, alive, 990 days
786.8
DO48761
55 years, male, NA, stage:2, alive, 870 days
779.0
DO50845
72 years, male, NA, stage:3, alive, 210 days
773.3
DO45207
68 years, male, NA, stage:1, alive, 1050 days
765.0
DO23527
72 years, male, NA, stage:1, alive, 1050 days
763.0
DO48737
52 years, male, NA, stage:1, alive, 720 days
750.7
DO23543
63 years, male, NA, stage:2, alive, 1020 days
739.9
DO45237
58 years, male, NA, stage:2, alive, 900 days
736.9
DO45265
73 years, male, NA, stage:3, alive, 1020 days
735.9
DO45261
74 years, male, NA, stage:3, alive, 990 days
734.8
DO45223
67 years, male, NA, stage:4, alive, 1020 days
732.1
DO50800
74 years, male, NA, stage:2, alive, 510 days
731.0
DO227801
77 years, female, NA, stage:1, alive, 660 days
719.3
DO23545
67 years, male, NA, stage:2, dead, 570 days
712.2
DO48759
73 years, male, NA, stage:3, alive, 720 days
708.5
DO45113
58 years, male, NA, stage:3, alive, 1560 days
703.1
DO45243
74 years, female, NA, stage:3, alive, 930 days
695.6
DO50804
81 years, male, NA, stage:2, alive, 720 days
695.2
DO23536
56 years, male, NA, stage:2, alive, 930 days
691.5
DO23511
83 years, female, NA, stage:3, dead, 180 days
688.5
DO48742
76 years, male, NA, stage:2, alive, 600 days
685.1
DO48727
81 years, female, NA, stage:2, dead, 390 days
684.2
DO50850
74 years, male, NA, stage:3, alive, 720 days
683.9
DO45094
76 years, male, NA, stage:3, alive, 1650 days
681.1
DO48730
73 years, female, NA, stage:2, alive, 630 days
675.8
DO50793
76 years, male, NA, stage:4, alive, 540 days
648.2
DO23548
78 years, female, NA, stage:1, alive, 840 days
645.3
DO23550
69 years, male, NA, stage:1, alive, 990 days
644.7
DO45263
67 years, male, NA, stage:3, dead, 270 days
643.8
DO45131
53 years, male, NA, stage:4, dead, 360 days
639.9
DO48677
58 years, male, NA, stage:3, alive, 1140 days
636.9
DO23535
67 years, male, NA, stage:1, alive, 960 days
628.3
DO48706
72 years, male, NA, stage:2, alive, 870 days
624.1
DO23524
71 years, female, NA, stage:2, alive, 1050 days
622.1
DO45117
73 years, female, NA, stage:2, dead, 1110 days
620.9
DO45159
65 years, male, NA, stage:3, alive, 1470 days
616.3
DO45141
73 years, male, NA, stage:2, alive, 1320 days
603.8
DO45197
51 years, male, NA, stage:2, alive, 1170 days
599.0
DO48701
78 years, male, NA, stage:2, alive, 780 days
594.5
DO45201
49 years, male, NA, stage:1, alive, 900 days
593.7
DO48743
69 years, female, NA, stage:2, alive, 570 days
592.8
DO45177
81 years, female, NA, stage:3, alive, 1260 days
589.4
DO45203
71 years, female, NA, stage:2, alive, 1170 days
587.6
DO45169
74 years, male, NA, stage:3, alive, 1350 days
583.8
DO50859
77 years, male, NA, stage:2, alive, 180 days
571.6
DO23534
60 years, male, NA, stage:2, alive, 840 days
571.6
DO45199
86 years, female, NA, stage:2, alive, 1350 days
571.2
DO45105
61 years, male, NA, stage:1, alive, 1680 days
569.9
DO45191
61 years, female, NA, stage:2, alive, 1200 days
569.7
DO45213
58 years, male, NA, stage:1, alive, 1200 days
560.1
DO23530
53 years, male, NA, stage:4, dead, 180 days
553.9
DO45091
56 years, male, NA, stage:2, dead, 1320 days
553.4
DO50774
68 years, female, NA, stage:2, alive, 720 days
553.1
DO45255
81 years, male, NA, stage:3, alive, 720 days
549.5
DO48725
66 years, male, NA, stage:1, alive, 780 days
542.5
DO48721
58 years, female, NA, stage:1, alive, 900 days
540.8
DO23516
69 years, male, NA, stage:3, dead, 20 days
533.7
DO45109
63 years, male, NA, stage:2, alive, 1590 days
527.6
DO48746
76 years, male, NA, stage:3, alive, 570 days
522.0
DO45241
49 years, male, NA, stage:1, alive, 1080 days
521.3
DO45259
65 years, male, NA, stage:3, alive, 330 days
516.7
DO45153
77 years, female, NA, stage:2, alive, 1380 days
516.6
DO48681
57 years, male, NA, stage:2, alive, 900 days
507.0
DO45227
57 years, female, NA, stage:2, alive, 1020 days
502.6
DO45283
60 years, male, NA, stage:3, alive, 510 days
489.4
DO45103
47 years, male, NA, stage:3, alive, 450 days
485.6
DO45303
62 years, female, NA, stage:3, alive, 990 days
478.3
DO45233
83 years, male, NA, stage:3, alive, 900 days
472.9
DO45179
78 years, female, NA, stage:2, alive, 600 days
467.7
DO45181
84 years, female, NA, stage:2, alive, 1200 days
462.4
DO45101
63 years, male, NA, stage:2, alive, 1680 days
455.5
DO23531
78 years, female, NA, stage:3, alive, 900 days
453.0
DO45111
74 years, male, NA, stage:2, alive, 1590 days
451.7
DO23515
71 years, male, NA, stage:2, alive, 1230 days
450.9
DO48693
71 years, male, NA, stage:2, alive, 900 days
447.1
DO45285
59 years, male, NA, stage:3, alive, 480 days
445.0
DO45215
65 years, male, NA, stage:2, alive, 1170 days
440.8
DO227643
79 years, male, NA, stage:2, alive, 1260 days
436.9
DO45137
38 years, male, NA, stage:1, alive, 1320 days
428.4
DO48674
80 years, male, NA, stage:2, alive, 1260 days
427.8
DO45115
81 years, male, NA, stage:2, alive, 840 days
426.5
DO23512
60 years, male, NA, stage:1, alive, 1260 days
423.0
DO45289
78 years, female, NA, stage:3, alive, 360 days
422.8
DO45125
58 years, male, NA, stage:3, alive, 1680 days
421.3
DO45107
63 years, female, NA, stage:2, alive, 1710 days
421.2
DO48733
72 years, male, NA, stage:2, alive, 600 days
421.1
DO45305
66 years, male, NA, stage:4, alive, 300 days
419.1
DO50816
63 years, male, NA, stage:2, alive, 390 days
405.2
DO50844
75 years, male, NA, stage:4, alive, 300 days
405.0
DO48736
76 years, female, NA, stage:1, alive, 600 days
404.6
DO45209
70 years, male, NA, stage:4, alive, 1350 days
401.7
DO23532
71 years, female, NA, stage:1, alive, 960 days
401.0
DO45231
84 years, male, NA, stage:2, alive, 930 days
398.2
DO45279
67 years, male, NA, stage:3, alive, 1290 days
396.5
DO48715
58 years, female, NA, stage:2, dead, 690 days
386.4
DO23551
73 years, male, NA, stage:3, dead, 150 days
377.4
DO45096
69 years, male, NA, stage:2, dead, 1290 days
375.2
DO45247
31 years, female, NA, stage:2, alive, 210 days
373.1
DO50857
72 years, male, NA, stage:2, alive, 210 days
370.8
DO45251
57 years, female, NA, stage:2, alive, 900 days
363.1
DO45121
61 years, male, NA, stage:3, alive, 1530 days
359.3
DO48760
70 years, female, NA, stage:2, alive, 690 days
358.0
DO50817
75 years, male, NA, stage:2, alive, 390 days
350.1
DO45187
32 years, female, NA, stage:1, alive, 1260 days
346.7
DO23544
67 years, male, NA, stage:2, alive, 960 days
327.2
DO23528
45 years, female, NA, stage:2, alive, 1020 days
322.9
DO50789
73 years, female, NA, stage:2, alive, 570 days
322.1
DO23538
67 years, male, NA, stage:2, alive, 450 days
320.9
DO45195
62 years, male, NA, stage:1, alive, 390 days
312.1
DO50855
47 years, male, NA, stage:2, alive, 570 days
296.8
DO45183
72 years, female, NA, stage:2, dead, 570 days
295.0
DO23517
62 years, male, NA, stage:2, alive, 1200 days
287.0
DO45167
67 years, male, NA, stage:2, dead, 1440 days
261.5
DO45189
85 years, female, NA, stage:2, alive, 1200 days
256.1
DO50820
77 years, female, NA, stage:3, alive, 510 days
235.5
DO45239
42 years, male, NA, stage:2, alive, 870 days
234.8
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
741
Tumor
0.9
537
Tumor
0.9
1027
Tumor
0.9
1013
Tumor
0.8
1021
Tumor
0.5
573
Tumor
0.5
745
Tumor
0.5
957
Tumor
0.4
482
Normal
0.4
525
Tumor
0.4
571
Tumor
0.4
742
Normal
0.4
1026
Normal
0.4
911
Tumor
0.4
867
Tumor
0.4
698
Normal
0.4
723
Tumor
0.3
481
Tumor
0.3
714
Normal
0.3
161
Tumor
0.3
477
Tumor
0.3
484
Normal
0.3
964
Normal
0.3
824
Normal
0.3
938
Normal
0.3
858
Normal
0.3
472
Normal
0.3
878
Normal
0.3
1046
Normal
0.3
1022
Normal
0.3
546
Normal
0.3
914
Normal
0.3
956
Normal
0.3
663
Tumor
0.3
738
Normal
0.3
883
Tumor
0.3
818
Normal
0.3
695
Tumor
0.3
488
Normal
0.3
862
Normal
0.3
1044
Normal
0.3
356
Normal
0.3
534
Normal
0.3
952
Normal
0.2
696
Normal
0.2
462
Normal
0.2
882
Normal
0.2
355
Tumor
0.2
1014
Normal
0.2
778
Normal
0.2
951
Tumor
0.2
966
Normal
0.2
925
Tumor
0.2
944
Normal
0.2
448
Normal
0.2
518
Normal
0.2
744
Normal
0.2
515
Tumor
0.2
228
Normal
0.2
412
Normal
0.2
1016
Normal
0.2
864
Normal
0.2
196
Normal
0.2
411
Tumor
0.2
516
Normal
0.2
364
Normal
0.2
128
Normal
0.2
212
Normal
0.2
982
Normal
0.2
976
Normal
0.2
922
Normal
0.2
746
Normal
0.2
617
Tumor
0.2
926
Normal
0.2
186
Normal
0.2
123
Tumor
0.2
728
Normal
0.2
722
Normal
0.2
978
Normal
0.2
955
Tumor
0.2
816
Normal
0.2
1042
Normal
0.2
866
Normal
0.1
958
Normal
0.1
514
Normal
0.1
923
Tumor
0.1
513
Tumor
0.1
222
Normal
0.1
924
Normal
0.1
436
Normal
0.1
328
Normal
0.1
857
Tumor
0.1
416
Normal
0.1
465
Tumor
0.1
261
Tumor
0.1
142
Normal
0.1
528
Normal
0.1
391
Tumor
0.1
494
Normal
0.1
756
Normal
0.1
327
Tumor
0.1
474
Normal
0.1
863
Tumor
0.1
431
Tumor
0.1
874
Normal
0.1
526
Normal
0.1
724
Normal
0.1
376
Normal
0.1
387
Tumor
0.1
478
Normal
0.1
912
Normal
0.1
298
Normal
0.1
618
Normal
0.1
493
Tumor
0.1
918
Normal
0.1
314
Normal
0.1
666
Normal
0.1
554
Normal
0.1
616
Normal
0.1
953
Tumor
0.1
1045
Tumor
0.1
1032
Normal
0.1
483
Tumor
0.1
686
Normal
0.1
452
Normal
0.1
568
Normal
0.1
284
Normal
0.1
172
Normal
0.1
954
Normal
0.1
354
Normal
0.1
415
Tumor
0.1
414
Normal
0.1
664
Normal
0.1
1028
Normal
0.1
286
Normal
0.1
332
Normal
0.1
572
Normal
0.0
353
Tumor
0.0
358
Normal
0.0
865
Tumor
0.0
648
Normal
0.0
538
Normal
0.0
968
Normal
0.0
162
Normal
0.0
432
Normal
0.0
916
Normal
0.0
868
Normal
0.0
567
Tumor
0.0
721
Tumor
0.0
422
Normal
0.0
984
Normal
0.0
257
Tumor
0.0
884
Normal
0.0
965
Tumor
0.0
498
Normal
0.0
487
Tumor
0.0
466
Normal
0.0
716
Normal
0.0
148
Normal
0.0
628
Normal
0.0
394
Normal
0.0
661
Tumor
0.0
456
Normal
0.0
112
Tumor
0.0
224
Normal
0.0
615
Tumor
0.0
777
Tumor
0.0
424
Normal
0.0
428
Normal
0.0
191
Tumor
0.0
113
Tumor
0.0
262
Normal
0.0
362
Normal
0.0
146
Normal
0.0
852
Normal
0.0
461
Tumor
0.0
388
Normal
0.0
423
Tumor
0.0
136
Normal
0.0
647
Tumor
0.0
214
Normal
0.0
558
Normal
0.0
873
Tumor
-0.1
915
Tumor
-0.1
258
Normal
-0.1
141
Tumor
-0.1
1041
Tumor
-0.1
272
Normal
-0.1
662
Normal
-0.1
342
Normal
-0.1
185
Tumor
-0.1
111
Normal
-0.1
564
Normal
-0.1
132
Normal
-0.1
231
Tumor
-0.1
861
Tumor
-0.1
685
Tumor
-0.1
786
Normal
-0.1
426
Normal
-0.1
527
Tumor
-0.1
312
Normal
-0.1
636
Normal
-0.1
344
Normal
-0.1
366
Normal
-0.1
435
Tumor
-0.1
211
Tumor
-0.1
574
Normal
-0.1
145
Tumor
-0.1
492
Normal
-0.1
395
Tumor
-0.1
352
Normal
-0.1
368
Normal
-0.1
642
Normal
-0.1
977
Tumor
-0.1
524
Normal
-0.1
188
Normal
-0.1
755
Tumor
-0.1
386
Normal
-0.1
427
Tumor
-0.1
384
Normal
-0.1
533
Tumor
-0.1
363
Tumor
-0.1
434
Normal
-0.1
535
Tumor
-0.2
396
Normal
-0.2
278
Normal
-0.2
137
Tumor
-0.2
464
Normal
-0.2
218
Normal
-0.2
563
Tumor
-0.2
267
Tumor
-0.2
446
Normal
-0.2
232
Normal
-0.2
114
Normal
-0.2
124
Normal
-0.2
392
Normal
-0.2
851
Tumor
-0.2
536
Normal
-0.2
713
Tumor
-0.2
672
Normal
-0.2
147
Tumor
-0.2
627
Tumor
-0.2
468
Normal
-0.2
1025
Tumor
-0.2
367
Tumor
-0.2
138
Normal
-0.2
135
Tumor
-0.2
313
Tumor
-0.2
433
Tumor
-0.2
127
Tumor
-0.2
223
Tumor
-0.2
217
Tumor
-0.3
823
Tumor
-0.3
361
Tumor
-0.3
297
Tumor
-0.3
557
Tumor
-0.3
1015
Tumor
-0.3
375
Tumor
-0.3
913
Tumor
-0.3
545
Tumor
-0.3
737
Tumor
-0.3
192
Normal
-0.3
421
Tumor
-0.3
444
Normal
-0.3
171
Tumor
-0.3
963
Tumor
-0.3
727
Tumor
-0.3
311
Tumor
-0.3
357
Tumor
-0.3
814
Normal
-0.4
785
Tumor
-0.4
635
Tumor
-0.4
917
Tumor
-0.4
451
Tumor
-0.4
126
Normal
-0.4
445
Tumor
-0.4
497
Tumor
-0.4
341
Tumor
-0.4
283
Tumor
-0.4
413
Tumor
-0.4
213
Tumor
-0.4
943
Tumor
-0.4
425
Tumor
-0.4
268
Normal
-0.4
195
Tumor
-0.4
697
Tumor
-0.4
467
Tumor
-0.5
473
Tumor
-0.5
393
Tumor
-0.5
443
Tumor
-0.5
447
Tumor
-0.5
187
Tumor
-0.5
491
Tumor
-0.5
277
Tumor
-0.5
817
Tumor
-0.5
1043
Tumor
-0.5
385
Tumor
-0.5
813
Tumor
-0.5
1031
Tumor
-0.5
455
Tumor
-0.5
383
Tumor
-0.5
125
Tumor
-0.6
937
Tumor
-0.6
471
Tumor
-0.6
881
Tumor
-0.6
365
Tumor
-0.6
351
Tumor
-0.6
715
Tumor
-0.6
981
Tumor
-0.6
227
Tumor
-0.6
517
Tumor
-0.6
131
Tumor
-0.6
343
Tumor
-0.6
975
Tumor
-0.6
983
Tumor
-0.7
921
Tumor
-0.7
221
Tumor
-0.7
523
Tumor
-0.7
463
Tumor
-0.8
665
Tumor
-0.8
331
Tumor
-0.8
271
Tumor
-0.8
815
Tumor
-0.9
553
Tumor
-0.9
877
Tumor
-0.9
641
Tumor
-0.9
967
Tumor
-1.0
743
Tumor
-1.0
671
Tumor
-1.2
285
Tumor
-1.2
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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.