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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.
RPS4X is not prognostic in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
642.6
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
2748.0
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
2098.6
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
2050.2
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
2027.3
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
2027.1
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
1989.6
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
1983.0
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
1961.4
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
1953.6
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
1901.3
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
1891.2
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
1854.6
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
1785.9
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
1729.3
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
1728.1
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
1690.4
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
1555.5
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
1490.8
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
1459.1
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
1412.6
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
1411.2
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
1365.3
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
1362.9
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
1299.2
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
1286.4
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
1278.3
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
1223.0
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
1215.3
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
1215.0
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
1202.5
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
1200.6
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
1193.9
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
1185.0
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
1184.2
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
1179.0
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
1174.8
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
1157.4
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
1148.7
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
1139.1
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
1116.9
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
1114.1
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
1104.9
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
1101.4
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
1077.7
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
1066.9
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
1059.1
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
1043.4
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
1041.2
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
1034.8
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
1029.6
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
1025.5
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
1024.5
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
1016.5
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
1008.5
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
1007.5
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
1000.8
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
980.8
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
980.5
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
970.7
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
947.6
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
945.2
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
941.4
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
906.1
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
898.1
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
896.7
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
895.9
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
888.6
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
885.9
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
877.9
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
868.4
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
856.1
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
856.1
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
854.9
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
854.4
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
853.6
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
846.5
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
835.6
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
827.9
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
825.8
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
824.2
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
823.3
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
823.3
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
823.3
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
822.7
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
809.5
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
803.3
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
801.2
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
799.2
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
789.0
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
781.7
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
778.0
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
774.8
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
769.0
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
763.0
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
753.7
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
751.9
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
747.5
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
747.2
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
744.7
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
740.4
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
735.7
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
731.3
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
730.1
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
728.8
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
722.7
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
721.6
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
718.8
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
716.8
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
713.1
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
710.7
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
708.5
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
701.6
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
701.3
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
697.9
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
686.0
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
681.9
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
677.6
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
677.1
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
674.0
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
669.6
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
668.0
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
667.3
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
662.2
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
659.5
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
655.6
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
654.1
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
648.1
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
647.4
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
647.1
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
643.5
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
639.8
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
634.2
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
631.0
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
629.6
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
627.6
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
625.1
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
624.7
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
622.5
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
620.5
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
618.4
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
612.8
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
612.4
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
609.4
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
607.4
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
600.9
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
600.8
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
600.2
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
599.7
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
596.7
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
591.0
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
588.6
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
588.3
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
581.7
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
571.1
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
570.8
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
570.7
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
569.2
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
567.9
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
566.5
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
564.8
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
564.3
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
559.2
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
557.2
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
554.7
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
551.6
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
550.3
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
548.9
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
548.4
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
547.6
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
543.9
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
543.8
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
543.0
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
540.8
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
540.4
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
538.2
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
533.2
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
531.8
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
531.6
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
526.6
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
524.6
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
523.6
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
523.2
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
518.4
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
513.8
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
512.4
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
510.0
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
509.5
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
509.3
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
508.0
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
507.2
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
501.9
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
498.9
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
498.1
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
497.9
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
496.6
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
494.9
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
490.1
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
490.1
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
488.0
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
487.7
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
486.8
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
486.6
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
485.4
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
485.3
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
484.4
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
484.4
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
482.5
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
482.4
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
480.0
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
479.4
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
479.3
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
478.1
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
477.4
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
477.0
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
475.3
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
474.5
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
473.7
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
472.1
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
469.4
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
466.6
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
465.0
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
463.8
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
463.7
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
463.0
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
461.1
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
457.1
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
456.1
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
446.2
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
446.1
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
444.2
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
443.9
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
443.1
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
442.6
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
439.5
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
437.2
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
436.6
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
432.3
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
432.0
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
425.4
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
423.0
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
420.0
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
419.1
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
417.5
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
417.4
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
415.8
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
415.6
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
411.1
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
409.5
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
404.9
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
403.3
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
403.3
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
403.2
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
400.9
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
400.2
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
399.2
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
394.8
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
391.0
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
389.6
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
386.8
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
386.7
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
386.3
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
384.5
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
383.2
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
380.9
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
380.5
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
380.2
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
378.1
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
376.6
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
375.7
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
374.5
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
373.4
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
372.7
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
372.4
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
371.3
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
370.2
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
367.4
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
367.0
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
366.2
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
365.3
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
363.9
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
359.5
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
358.8
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
357.1
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
355.3
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
353.5
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
353.1
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
351.7
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
351.5
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
349.7
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
349.2
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
346.2
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
345.2
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
341.1
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
339.8
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
338.5
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
337.1
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
334.3
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
332.9
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
330.5
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
325.7
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
325.1
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
323.9
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
320.8
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
315.5
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
313.9
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
313.8
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
313.7
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
312.4
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
311.5
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
310.8
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
307.4
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
303.2
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
303.2
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
302.1
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
301.2
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
300.8
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
297.5
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
296.4
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
290.7
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
289.5
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
289.2
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
286.4
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
285.4
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
283.2
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
282.9
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
281.2
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
279.3
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
276.9
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
272.5
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
269.8
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
269.2
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
268.5
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
264.2
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
263.8
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
261.4
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
261.0
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
259.9
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
259.5
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
252.9
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
251.5
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
250.2
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
248.9
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
239.7
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
235.2
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
234.6
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
232.7
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
229.9
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
228.8
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
227.9
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
224.5
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
222.4
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
221.8
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
218.9
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
215.9
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
213.8
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
212.3
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
208.7
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
208.4
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
202.7
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
200.6
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
193.6
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 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.
RPS4X is potential prognostic, high expression is unfavorable in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
1538.1
Number of samples
231
Samples
Sample
Description
pTPM
DO45303
62 years, female, NA, stage:3, alive, 990 days
5699.8
DO45289
78 years, female, NA, stage:3, alive, 360 days
5323.2
DO48682
72 years, female, NA, stage:3, dead, 120 days
4965.2
DO45299
70 years, female, NA, stage:1, alive, 1440 days
4949.0
DO45307
54 years, female, NA, stage:4, dead, 240 days
4422.5
DO45097
69 years, male, NA, stage:3, alive, 1620 days
4201.4
DO45285
59 years, male, NA, stage:3, alive, 480 days
4069.5
DO45259
65 years, male, NA, stage:3, alive, 330 days
3986.4
DO45193
68 years, female, NA, stage:4, dead, 120 days
3685.6
DO45217
69 years, female, NA, stage:3, dead, 270 days
3629.0
DO48697
64 years, female, NA, stage:2, dead, 810 days
3602.1
DO45287
74 years, male, NA, stage:1, alive, 390 days
3588.8
DO45251
57 years, female, NA, stage:2, alive, 900 days
3539.2
DO48757
68 years, female, NA, stage:3, alive, 480 days
3417.1
DO50785
37 years, male, NA, stage:4, dead, 90 days
3397.0
DO50799
66 years, female, NA, stage:2, alive, 540 days
3119.4
DO45305
66 years, male, NA, stage:4, alive, 300 days
3099.5
DO23528
45 years, female, NA, stage:2, alive, 1020 days
3093.8
DO45297
61 years, female, NA, stage:4, dead, 1260 days
3001.6
DO45199
86 years, female, NA, stage:2, alive, 1350 days
2921.8
DO23530
53 years, male, NA, stage:4, dead, 180 days
2846.2
DO48736
76 years, female, NA, stage:1, alive, 600 days
2827.8
DO48737
52 years, male, NA, stage:1, alive, 720 days
2758.3
DO50855
47 years, male, NA, stage:2, alive, 570 days
2753.5
DO45203
71 years, female, NA, stage:2, alive, 1170 days
2653.6
DO45187
32 years, female, NA, stage:1, alive, 1260 days
2633.9
DO45283
60 years, male, NA, stage:3, alive, 510 days
2603.7
DO45249
57 years, male, NA, stage:1, alive, 630 days
2577.9
DO45221
75 years, female, NA, stage:4, dead, 390 days
2532.7
DO50783
62 years, male, NA, stage:3, alive, 480 days
2517.4
DO45205
67 years, female, NA, stage:2, dead, 90 days
2509.7
DO48715
58 years, female, NA, stage:2, dead, 690 days
2437.6
DO45093
71 years, male, NA, stage:2, dead, 720 days
2413.8
DO23545
67 years, male, NA, stage:2, dead, 570 days
2411.5
DO45127
73 years, male, NA, stage:3, dead, 420 days
2386.3
DO45189
85 years, female, NA, stage:2, alive, 1200 days
2385.0
DO45183
72 years, female, NA, stage:2, dead, 570 days
2357.3
DO50859
77 years, male, NA, stage:2, alive, 180 days
2319.8
DO50820
77 years, female, NA, stage:3, alive, 510 days
2297.1
DO45279
67 years, male, NA, stage:3, alive, 1290 days
2138.0
DO48747
62 years, male, NA, stage:3, alive, 540 days
2118.2
DO50832
73 years, male, NA, stage:3, alive, 90 days
2075.5
DO23515
71 years, male, NA, stage:2, alive, 1230 days
2070.8
DO48728
74 years, female, NA, stage:2, alive, 150 days
2050.3
DO45095
66 years, male, NA, stage:2, alive, 1620 days
2023.4
DO45239
42 years, male, NA, stage:2, alive, 870 days
2018.2
DO48720
62 years, female, NA, stage:2, alive, 570 days
1992.9
DO45161
74 years, male, NA, stage:2, dead, 540 days
1991.9
DO50806
70 years, male, NA, stage:4, alive, 540 days
1987.6
DO45219
78 years, male, NA, stage:2, alive, 1080 days
1987.1
DO45171
56 years, male, NA, stage:3, alive, 600 days
1985.0
DO48727
81 years, female, NA, stage:2, dead, 390 days
1980.0
DO23516
69 years, male, NA, stage:3, dead, 20 days
1960.8
DO45211
76 years, male, NA, stage:3, alive, 240 days
1948.1
DO23513
76 years, male, NA, stage:3, alive, 1200 days
1906.2
DO48706
72 years, male, NA, stage:2, alive, 870 days
1883.8
DO23537
79 years, male, NA, stage:2, dead, 900 days
1883.0
DO48721
58 years, female, NA, stage:1, alive, 900 days
1876.7
DO45191
61 years, female, NA, stage:2, alive, 1200 days
1873.1
DO23521
63 years, male, NA, stage:3, alive, 1110 days
1797.5
DO50814
83 years, male, NA, stage:3, alive, 420 days
1792.3
DO50805
72 years, male, NA, stage:2, alive, 690 days
1742.0
DO45247
31 years, female, NA, stage:2, alive, 210 days
1739.4
DO45149
70 years, female, NA, stage:2, alive, 1260 days
1738.7
DO45273
62 years, male, NA, stage:2, alive, 480 days
1722.6
DO23514
64 years, male, NA, stage:2, alive, 1290 days
1721.6
DO48730
73 years, female, NA, stage:2, alive, 630 days
1708.8
DO48723
73 years, male, NA, stage:1, alive, 600 days
1706.3
DO45243
74 years, female, NA, stage:3, alive, 930 days
1704.2
DO45275
65 years, male, NA, stage:3, dead, 10 days
1703.9
DO50839
47 years, female, NA, stage:3, alive, 330 days
1697.7
DO45135
77 years, male, NA, stage:1, alive, 1410 days
1689.8
DO50825
70 years, male, NA, stage:2, alive, 390 days
1681.4
DO48751
68 years, male, NA, stage:2, dead, 480 days
1677.6
DO50844
75 years, male, NA, stage:4, alive, 300 days
1670.2
DO23519
65 years, male, NA, stage:3, alive, 630 days
1653.4
DO45145
78 years, male, NA, stage:3, dead, 60 days
1650.8
DO23511
83 years, female, NA, stage:3, dead, 180 days
1632.2
DO45179
78 years, female, NA, stage:2, alive, 600 days
1612.4
DO45265
73 years, male, NA, stage:3, alive, 1020 days
1603.4
DO50817
75 years, male, NA, stage:2, alive, 390 days
1588.1
DO23510
80 years, female, NA, stage:2, alive, 870 days
1578.4
DO45173
63 years, male, NA, stage:3, alive, 1170 days
1571.7
DO23548
78 years, female, NA, stage:1, alive, 840 days
1553.2
DO50793
76 years, male, NA, stage:4, alive, 540 days
1544.2
DO23508
79 years, female, NA, stage:2, alive, 390 days
1539.5
DO45117
73 years, female, NA, stage:2, dead, 1110 days
1532.0
DO45261
74 years, male, NA, stage:3, alive, 990 days
1525.9
DO45277
64 years, male, NA, stage:3, alive, 600 days
1505.2
DO23523
52 years, male, NA, stage:3, alive, 1080 days
1501.2
DO50798
77 years, male, NA, stage:3, dead, 30 days
1497.3
DO50857
72 years, male, NA, stage:2, alive, 210 days
1495.7
DO45301
56 years, male, NA, stage:2, dead, 1440 days
1484.5
DO23547
74 years, male, NA, stage:1, alive, 1020 days
1476.7
DO45267
73 years, male, NA, stage:3, dead, 570 days
1470.2
DO50791
79 years, female, NA, stage:1, dead, 480 days
1446.1
DO48712
50 years, male, NA, stage:2, alive, 810 days
1433.9
DO48681
57 years, male, NA, stage:2, alive, 900 days
1432.7
DO50802
49 years, male, NA, stage:2, alive, 930 days
1420.6
DO45141
73 years, male, NA, stage:2, alive, 1320 days
1389.8
DO45231
84 years, male, NA, stage:2, alive, 930 days
1386.1
DO45103
47 years, male, NA, stage:3, alive, 450 days
1378.2
DO45213
58 years, male, NA, stage:1, alive, 1200 days
1364.2
DO45225
69 years, male, NA, stage:1, alive, 1050 days
1364.2
DO48700
78 years, female, NA, stage:2, alive, 810 days
1362.3
DO45185
89 years, male, NA, stage:2, alive, 600 days
1355.3
DO45175
74 years, male, NA, stage:2, alive, 1140 days
1354.6
DO23536
56 years, male, NA, stage:2, alive, 930 days
1349.4
DO45177
81 years, female, NA, stage:3, alive, 1260 days
1347.3
DO45165
75 years, male, NA, stage:2, alive, 690 days
1330.9
DO23526
66 years, male, NA, stage:3, alive, 1050 days
1320.5
DO50815
62 years, male, NA, stage:3, alive, 150 days
1315.1
DO50811
62 years, male, NA, stage:1, alive, 450 days
1313.4
DO50778
60 years, male, NA, stage:4, alive, 630 days
1310.9
DO23542
66 years, male, NA, stage:3, alive, 960 days
1305.1
DO45139
63 years, male, NA, stage:3, alive, 1320 days
1303.2
DO50809
56 years, male, NA, stage:3, dead, 720 days
1298.7
DO45123
78 years, female, NA, stage:2, dead, 570 days
1277.1
DO45281
83 years, male, NA, stage:4, alive, 750 days
1276.3
DO48672
81 years, male, NA, stage:2, alive, 450 days
1271.0
DO45209
70 years, male, NA, stage:4, alive, 1350 days
1260.9
DO48732
73 years, male, NA, stage:3, alive, 630 days
1252.2
DO227801
77 years, female, NA, stage:1, alive, 660 days
1251.1
DO50774
68 years, female, NA, stage:2, alive, 720 days
1243.7
DO48733
72 years, male, NA, stage:2, alive, 600 days
1243.2
DO50800
74 years, male, NA, stage:2, alive, 510 days
1241.8
DO45181
84 years, female, NA, stage:2, alive, 1200 days
1228.9
DO45159
65 years, male, NA, stage:3, alive, 1470 days
1225.3
DO45245
75 years, female, NA, stage:2, dead, 240 days
1220.0
DO50789
73 years, female, NA, stage:2, alive, 570 days
1217.2
DO45091
56 years, male, NA, stage:2, dead, 1320 days
1212.0
DO45153
77 years, female, NA, stage:2, alive, 1380 days
1207.9
DO48677
58 years, male, NA, stage:3, alive, 1140 days
1204.1
DO23543
63 years, male, NA, stage:2, alive, 1020 days
1187.8
DO45155
69 years, male, NA, stage:2, alive, 2160 days
1173.8
DO45157
62 years, male, NA, stage:2, alive, 1980 days
1169.4
DO48725
66 years, male, NA, stage:1, alive, 780 days
1154.3
DO48704
68 years, female, NA, stage:3, alive, 750 days
1153.1
DO50819
72 years, female, NA, stage:2, alive, 510 days
1139.4
DO45269
59 years, male, NA, stage:3, alive, 750 days
1136.7
DO50822
66 years, male, NA, stage:2, alive, 510 days
1134.6
DO23552
80 years, female, NA, stage:1, alive, 810 days
1132.5
DO45237
58 years, male, NA, stage:2, alive, 900 days
1132.2
DO45235
68 years, female, NA, stage:1, alive, 900 days
1128.6
DO45253
50 years, male, NA, stage:2, alive, 870 days
1117.3
DO50803
62 years, female, NA, stage:1, alive, 540 days
1105.1
DO45099
46 years, male, NA, stage:3, alive, 1590 days
1088.8
DO45229
74 years, male, NA, stage:1, alive, 990 days
1083.9
DO23533
61 years, male, NA, stage:2, alive, 900 days
1080.6
DO50845
72 years, male, NA, stage:3, alive, 210 days
1076.3
DO45121
61 years, male, NA, stage:3, alive, 1530 days
1053.8
DO50829
78 years, male, NA, stage:3, alive, 570 days
1051.2
DO48759
73 years, male, NA, stage:3, alive, 720 days
1047.2
DO48741
64 years, male, NA, stage:3, alive, 240 days
1032.9
DO45255
81 years, male, NA, stage:3, alive, 720 days
1029.0
DO45233
83 years, male, NA, stage:3, alive, 900 days
1028.9
DO45201
49 years, male, NA, stage:1, alive, 900 days
1021.8
DO23531
78 years, female, NA, stage:3, alive, 900 days
990.8
DO23524
71 years, female, NA, stage:2, alive, 1050 days
988.2
DO45113
58 years, male, NA, stage:3, alive, 1560 days
965.8
DO50776
75 years, male, NA, stage:1, alive, 690 days
964.5
DO45241
49 years, male, NA, stage:1, alive, 1080 days
964.5
DO48719
80 years, male, NA, stage:2, alive, 690 days
962.2
DO23549
74 years, male, NA, stage:3, alive, 990 days
951.6
DO45109
63 years, male, NA, stage:2, alive, 1590 days
947.0
DO48746
76 years, male, NA, stage:3, alive, 570 days
942.3
DO45223
67 years, male, NA, stage:4, alive, 1020 days
941.4
DO45137
38 years, male, NA, stage:1, alive, 1320 days
929.1
DO48743
69 years, female, NA, stage:2, alive, 570 days
925.2
DO45119
74 years, male, NA, stage:3, dead, 510 days
923.6
DO23518
67 years, male, NA, stage:2, alive, 1320 days
916.8
DO48693
71 years, male, NA, stage:2, alive, 900 days
915.0
DO50816
63 years, male, NA, stage:2, alive, 390 days
909.4
DO45163
76 years, male, NA, stage:2, alive, 960 days
900.7
DO23535
67 years, male, NA, stage:1, alive, 960 days
900.1
DO45092
62 years, male, NA, stage:4, dead, 1200 days
899.3
DO45257
46 years, male, NA, stage:3, alive, 810 days
887.1
DO48695
77 years, male, NA, stage:2, alive, 720 days
877.7
DO45143
69 years, male, NA, stage:3, alive, 1290 days
858.8
DO48717
54 years, male, NA, stage:4, dead, 180 days
858.4
DO23525
71 years, male, NA, stage:4, alive, 1050 days
846.3
DO50804
81 years, male, NA, stage:2, alive, 720 days
835.8
DO23546
63 years, male, NA, stage:2, alive, 1050 days
830.9
DO23538
67 years, male, NA, stage:2, alive, 450 days
825.8
DO50850
74 years, male, NA, stage:3, alive, 720 days
822.5
DO45131
53 years, male, NA, stage:4, dead, 360 days
820.0
DO23529
72 years, male, NA, stage:4, alive, 930 days
816.6
DO23534
60 years, male, NA, stage:2, alive, 840 days
810.7
DO23541
65 years, male, NA, stage:2, alive, 930 days
804.9
DO48760
70 years, female, NA, stage:2, alive, 690 days
799.7
DO45227
57 years, female, NA, stage:2, alive, 1020 days
792.1
DO50787
63 years, male, NA, stage:3, alive, 480 days
769.3
DO45263
67 years, male, NA, stage:3, dead, 270 days
767.2
DO45207
68 years, male, NA, stage:1, alive, 1050 days
752.2
DO50813
56 years, male, NA, stage:2, alive, 420 days
737.2
DO45115
81 years, male, NA, stage:2, alive, 840 days
734.0
DO48679
72 years, male, NA, stage:2, alive, 1200 days
729.6
DO50808
68 years, male, NA, stage:2, alive, 570 days
722.7
DO45096
69 years, male, NA, stage:2, dead, 1290 days
715.6
DO45169
74 years, male, NA, stage:3, alive, 1350 days
714.3
DO23544
67 years, male, NA, stage:2, alive, 960 days
705.7
DO23527
72 years, male, NA, stage:1, alive, 1050 days
682.6
DO50818
65 years, male, NA, stage:2, alive, 510 days
680.5
DO50807
67 years, male, NA, stage:1, alive, 540 days
677.2
DO48761
55 years, male, NA, stage:2, alive, 870 days
673.9
DO23551
73 years, male, NA, stage:3, dead, 150 days
672.6
DO227643
79 years, male, NA, stage:2, alive, 1260 days
672.2
DO23539
77 years, male, NA, stage:1, alive, 1110 days
670.9
DO23509
60 years, male, NA, stage:3, dead, 780 days
665.2
DO48742
76 years, male, NA, stage:2, alive, 600 days
656.9
DO45129
61 years, male, NA, stage:3, alive, 1470 days
655.0
DO45107
63 years, female, NA, stage:2, alive, 1710 days
642.3
DO48674
80 years, male, NA, stage:2, alive, 1260 days
620.7
DO48716
71 years, male, NA, stage:2, alive, 720 days
617.3
DO50840
49 years, male, NA, stage:2, alive, 330 days
605.8
DO48701
78 years, male, NA, stage:2, alive, 780 days
604.7
DO23540
73 years, male, NA, stage:1, alive, 750 days
598.1
DO23550
69 years, male, NA, stage:1, alive, 990 days
592.8
DO45094
76 years, male, NA, stage:3, alive, 1650 days
571.4
DO23517
62 years, male, NA, stage:2, alive, 1200 days
568.4
DO45111
74 years, male, NA, stage:2, alive, 1590 days
543.9
DO23512
60 years, male, NA, stage:1, alive, 1260 days
541.7
DO23532
71 years, female, NA, stage:1, alive, 960 days
539.4
DO45215
65 years, male, NA, stage:2, alive, 1170 days
514.1
DO45197
51 years, male, NA, stage:2, alive, 1170 days
511.8
DO45133
64 years, male, NA, stage:3, dead, 660 days
500.9
DO45195
62 years, male, NA, stage:1, alive, 390 days
459.9
DO45125
58 years, male, NA, stage:3, alive, 1680 days
450.1
DO45105
61 years, male, NA, stage:1, alive, 1680 days
420.7
DO45101
63 years, male, NA, stage:2, alive, 1680 days
368.5
DO45167
67 years, male, NA, stage:2, dead, 1440 days
282.8
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
557
Tumor
0.7
567
Tumor
0.5
537
Tumor
0.5
367
Tumor
0.5
815
Tumor
0.4
1021
Tumor
0.4
965
Tumor
0.4
661
Tumor
0.4
393
Tumor
0.4
223
Tumor
0.4
851
Tumor
0.4
327
Tumor
0.4
481
Tumor
0.4
685
Tumor
0.3
743
Tumor
0.3
1027
Tumor
0.3
285
Tumor
0.3
745
Tumor
0.3
331
Tumor
0.3
738
Normal
0.3
955
Tumor
0.3
636
Normal
0.3
727
Tumor
0.3
385
Tumor
0.3
395
Tumor
0.2
713
Tumor
0.2
467
Tumor
0.2
135
Tumor
0.2
724
Normal
0.2
1025
Tumor
0.2
967
Tumor
0.2
387
Tumor
0.2
113
Tumor
0.2
777
Tumor
0.2
723
Tumor
0.2
218
Normal
0.2
617
Tumor
0.2
746
Normal
0.2
865
Tumor
0.2
413
Tumor
0.2
527
Tumor
0.2
131
Tumor
0.2
497
Tumor
0.2
573
Tumor
0.2
616
Normal
0.2
227
Tumor
0.2
937
Tumor
0.2
554
Normal
0.2
571
Tumor
0.2
983
Tumor
0.2
443
Tumor
0.2
277
Tumor
0.2
923
Tumor
0.2
217
Tumor
0.2
697
Tumor
0.2
214
Normal
0.2
545
Tumor
0.2
313
Tumor
0.2
671
Tumor
0.2
1026
Normal
0.2
353
Tumor
0.2
647
Tumor
0.2
778
Normal
0.2
191
Tumor
0.2
648
Normal
0.2
546
Normal
0.2
267
Tumor
0.2
968
Normal
0.2
484
Normal
0.2
698
Normal
0.2
1044
Normal
0.2
314
Normal
0.2
665
Tumor
0.2
195
Tumor
0.2
957
Tumor
0.2
332
Normal
0.1
231
Tumor
0.1
533
Tumor
0.1
172
Normal
0.1
136
Normal
0.1
1028
Normal
0.1
257
Tumor
0.1
824
Normal
0.1
278
Normal
0.1
523
Tumor
0.1
488
Normal
0.1
858
Normal
0.1
222
Normal
0.1
852
Normal
0.1
922
Normal
0.1
187
Tumor
0.1
742
Normal
0.1
696
Normal
0.1
425
Tumor
0.1
535
Tumor
0.1
421
Tumor
0.1
431
Tumor
0.1
212
Normal
0.1
426
Normal
0.1
737
Tumor
0.1
924
Normal
0.1
147
Tumor
0.1
635
Tumor
0.1
926
Normal
0.1
171
Tumor
0.1
434
Normal
0.1
966
Normal
0.1
213
Tumor
0.1
462
Normal
0.1
186
Normal
0.1
528
Normal
0.1
728
Normal
0.1
445
Tumor
0.1
433
Tumor
0.1
312
Normal
0.1
534
Normal
0.1
663
Tumor
0.1
518
Normal
0.1
1022
Normal
0.1
756
Normal
0.1
1043
Tumor
0.1
981
Tumor
0.1
494
Normal
0.1
628
Normal
0.1
817
Tumor
0.1
918
Normal
0.1
286
Normal
0.1
232
Normal
0.1
964
Normal
0.1
524
Normal
0.1
818
Normal
0.1
351
Tumor
0.1
185
Tumor
0.1
944
Normal
0.1
452
Normal
0.1
298
Normal
0.1
952
Normal
0.1
714
Normal
0.1
786
Normal
0.1
228
Normal
0.1
448
Normal
0.1
526
Normal
0.1
664
Normal
0.1
864
Normal
0.1
913
Tumor
0.1
114
Normal
0.1
132
Normal
0.1
392
Normal
0.1
451
Tumor
0.1
137
Tumor
0.1
915
Tumor
0.1
686
Normal
0.1
472
Normal
0.1
196
Normal
0.1
128
Normal
0.1
722
Normal
0.1
342
Normal
0.1
951
Tumor
0.1
873
Tumor
0.1
414
Normal
0.1
447
Tumor
0.1
572
Normal
0.1
344
Normal
0.1
525
Tumor
0.1
436
Normal
0.1
162
Normal
0.1
553
Tumor
0.1
211
Tumor
0.1
568
Normal
0.1
1015
Tumor
0.1
956
Normal
0.1
394
Normal
0.1
463
Tumor
0.1
984
Normal
0.1
642
Normal
0.1
721
Tumor
0.1
112
Tumor
0.1
816
Normal
0.0
963
Tumor
0.0
1031
Tumor
0.0
958
Normal
0.0
221
Tumor
0.0
615
Tumor
0.0
432
Normal
0.0
755
Tumor
0.0
564
Normal
0.0
474
Normal
0.0
145
Tumor
0.0
978
Normal
0.0
1032
Normal
0.0
422
Normal
0.0
427
Tumor
0.0
536
Normal
0.0
363
Tumor
0.0
558
Normal
0.0
111
Normal
0.0
715
Tumor
0.0
1014
Normal
0.0
126
Normal
0.0
138
Normal
0.0
482
Normal
0.0
912
Normal
0.0
982
Normal
0.0
271
Tumor
0.0
411
Tumor
0.0
618
Normal
0.0
1042
Normal
0.0
1016
Normal
0.0
455
Tumor
0.0
258
Normal
0.0
862
Normal
0.0
412
Normal
0.0
435
Tumor
0.0
375
Tumor
0.0
376
Normal
0.0
492
Normal
0.0
328
Normal
0.0
857
Tumor
0.0
466
Normal
0.0
362
Normal
0.0
487
Tumor
0.0
861
Tumor
0.0
866
Normal
0.0
356
Normal
0.0
386
Normal
0.0
446
Normal
0.0
666
Normal
0.0
142
Normal
0.0
357
Tumor
0.0
925
Tumor
0.0
538
Normal
0.0
514
Normal
0.0
1046
Normal
0.0
515
Tumor
0.0
695
Tumor
0.0
358
Normal
0.0
662
Normal
0.0
148
Normal
0.0
516
Normal
0.0
916
Normal
0.0
388
Normal
0.0
284
Normal
0.0
396
Normal
0.0
464
Normal
0.0
391
Tumor
0.0
272
Normal
0.0
343
Tumor
0.0
882
Normal
0.0
355
Tumor
0.0
785
Tumor
0.0
352
Normal
0.0
424
Normal
0.0
262
Normal
0.0
283
Tumor
0.0
493
Tumor
0.0
513
Tumor
0.0
744
Normal
0.0
124
Normal
0.0
921
Tumor
0.0
716
Normal
0.0
938
Normal
0.0
672
Normal
0.0
953
Tumor
0.0
423
Tumor
0.0
477
Tumor
0.0
125
Tumor
0.0
468
Normal
0.0
478
Normal
0.0
188
Normal
0.0
268
Normal
0.0
461
Tumor
0.0
878
Normal
0.0
976
Normal
0.0
146
Normal
0.0
456
Normal
0.0
877
Tumor
0.0
881
Tumor
0.0
361
Tumor
0.0
641
Tumor
-0.1
884
Normal
-0.1
943
Tumor
-0.1
813
Tumor
-0.1
428
Normal
-0.1
823
Tumor
-0.1
161
Tumor
-0.1
297
Tumor
-0.1
224
Normal
-0.1
123
Tumor
-0.1
354
Normal
-0.1
883
Tumor
-0.1
483
Tumor
-0.1
975
Tumor
-0.1
341
Tumor
-0.1
365
Tumor
-0.1
192
Normal
-0.1
814
Normal
-0.1
574
Normal
-0.1
471
Tumor
-0.1
563
Tumor
-0.1
141
Tumor
-0.1
127
Tumor
-0.1
954
Normal
-0.1
874
Normal
-0.1
917
Tumor
-0.1
261
Tumor
-0.1
473
Tumor
-0.1
465
Tumor
-0.1
914
Normal
-0.1
364
Normal
-0.1
491
Tumor
-0.1
1013
Tumor
-0.1
368
Normal
-0.1
868
Normal
-0.1
366
Normal
-0.1
444
Normal
-0.1
1041
Tumor
-0.1
415
Tumor
-0.2
498
Normal
-0.2
627
Tumor
-0.2
517
Tumor
-0.2
384
Normal
-0.2
416
Normal
-0.2
867
Tumor
-0.2
383
Tumor
-0.2
977
Tumor
-0.2
911
Tumor
-0.2
311
Tumor
-0.2
741
Tumor
-0.2
863
Tumor
-0.2
1045
Tumor
-0.3
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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.