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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 TPM
541.0
Number of samples
362
Samples
Sample
Description
TPM
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
2271.9
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
1741.2
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
1730.5
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
1654.2
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
1649.2
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
1623.5
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
1617.7
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
1604.4
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
1546.9
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
1539.2
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
1534.2
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
1493.7
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
1466.2
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
1444.9
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
1437.5
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
1419.5
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
1311.2
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
1232.1
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
1220.0
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
1213.6
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
1191.3
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
1144.1
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
1141.4
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
1047.4
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
1042.6
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
1025.7
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
1016.6
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
1009.0
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
1002.1
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
1000.7
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
999.3
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
998.9
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
998.4
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
992.5
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
989.7
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
989.3
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
974.7
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
973.7
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
952.2
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
947.2
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
925.7
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
901.1
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
896.0
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
891.0
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
884.8
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
882.1
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
871.4
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
870.5
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
868.0
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
865.1
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
863.3
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
857.1
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
837.6
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
835.4
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
834.9
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
808.2
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
807.3
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
803.1
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
802.4
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
790.5
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
781.5
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
773.5
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
769.4
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
765.3
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
752.9
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
751.9
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
748.3
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
747.5
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
738.6
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
737.1
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
736.7
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
736.5
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
735.5
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
731.3
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
728.0
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
724.0
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
715.9
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
708.6
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
706.7
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
701.6
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
689.1
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
679.2
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
676.7
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
661.8
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
660.9
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
653.9
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
651.2
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
650.6
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
649.4
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
649.1
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
649.1
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
646.7
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
640.5
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
637.6
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
636.6
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
634.9
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
634.4
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
631.4
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
628.1
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
627.8
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
627.2
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
624.7
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
623.3
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
612.6
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
611.7
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
610.1
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
607.2
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
600.9
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
600.7
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
600.0
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
592.6
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
591.1
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
589.1
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
586.3
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
584.7
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
583.7
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
581.8
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
580.4
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
575.2
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
574.9
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
572.2
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
567.6
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
565.2
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
562.5
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
560.0
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
558.8
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
557.3
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
556.4
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
554.4
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
549.5
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
545.7
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
542.6
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
541.3
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
539.7
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
538.1
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
536.8
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
533.5
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
533.1
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
532.0
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
529.9
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
528.2
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
524.7
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
520.8
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
519.5
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
518.8
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
516.8
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
511.6
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
507.0
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
504.9
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
504.5
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
500.1
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
498.4
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
497.8
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
497.5
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
496.4
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
496.2
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
489.7
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
488.7
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
487.0
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
485.8
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
483.5
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
481.6
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
481.0
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
478.1
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
475.7
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
473.3
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
471.6
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
471.0
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
466.4
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
465.3
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
461.9
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
461.8
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
460.0
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
456.3
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
455.0
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
454.5
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
453.7
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
453.0
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
452.2
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
445.1
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
444.1
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
443.5
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
443.3
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
438.2
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
437.7
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
434.7
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
429.9
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
429.6
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
428.8
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
427.0
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
426.9
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
426.6
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
425.1
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
424.3
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
423.8
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
423.5
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
422.1
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
421.6
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
420.7
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
420.5
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
415.1
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
414.2
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
413.6
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
412.8
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
410.0
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
408.1
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
407.8
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
406.6
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
404.6
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
403.4
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
402.3
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
401.4
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
401.3
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
401.3
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
401.2
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
401.0
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
398.7
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
397.5
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
397.0
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
396.7
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
395.8
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
393.8
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
387.4
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
385.9
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
384.6
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
382.0
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
381.1
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
377.1
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
374.8
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
374.7
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
374.7
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
373.0
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
372.7
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
371.8
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
365.0
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
364.1
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
364.0
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
361.8
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
359.8
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
359.3
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
356.0
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
355.4
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
352.6
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
350.0
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
348.1
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
347.9
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
347.3
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
346.6
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
343.9
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
343.5
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
343.2
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
338.8
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
337.7
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
337.1
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
337.1
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
334.8
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
331.2
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
330.9
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
330.4
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
329.7
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
328.8
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
328.5
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
325.2
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
324.2
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
321.0
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
320.8
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
320.2
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
319.5
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
318.5
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
317.1
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
317.0
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
315.8
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
315.5
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
315.2
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
314.3
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
313.6
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
311.4
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
311.1
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
308.7
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
308.7
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
308.4
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
307.4
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
303.3
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
302.5
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
301.1
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
300.7
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
298.4
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
297.5
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
297.3
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
296.3
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
296.1
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
287.8
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
286.9
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
285.9
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
284.4
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
283.9
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
282.7
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
280.6
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
280.1
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
280.0
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
277.5
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
276.5
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
275.3
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
273.4
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
273.1
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
272.4
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
272.3
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
268.9
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
265.5
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
264.6
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
264.5
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
263.0
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
262.7
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
260.8
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
259.5
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
257.9
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
257.2
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
256.0
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
252.2
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
252.1
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
251.8
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
250.8
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
250.1
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
249.4
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
247.7
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
245.7
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
245.1
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
242.8
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
239.8
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
233.7
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
231.3
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
229.0
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
228.6
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
228.2
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
225.7
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
225.6
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
223.4
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
220.7
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
220.6
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
219.1
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
213.3
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
212.4
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
210.1
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
208.2
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
207.3
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
206.6
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
201.0
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
199.6
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
196.0
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
195.9
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
192.3
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
189.7
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
189.6
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
189.2
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
188.2
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
185.1
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
182.4
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
178.7
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
178.4
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
172.7
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
171.2
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 TPM
906.5
Number of samples
231
Samples
Sample
Description
TPM
DO45289
78 years, female, NA, stage:3, alive, 360 days
3364.2
DO45303
62 years, female, NA, stage:3, alive, 990 days
3082.1
DO48682
72 years, female, NA, stage:3, dead, 120 days
2978.5
DO45285
59 years, male, NA, stage:3, alive, 480 days
2949.1
DO45299
70 years, female, NA, stage:1, alive, 1440 days
2865.5
DO45097
69 years, male, NA, stage:3, alive, 1620 days
2740.0
DO45307
54 years, female, NA, stage:4, dead, 240 days
2632.2
DO50785
37 years, male, NA, stage:4, dead, 90 days
2523.0
DO48697
64 years, female, NA, stage:2, dead, 810 days
2266.4
DO45193
68 years, female, NA, stage:4, dead, 120 days
2207.7
DO45259
65 years, male, NA, stage:3, alive, 330 days
2036.7
DO45217
69 years, female, NA, stage:3, dead, 270 days
1992.4
DO45199
86 years, female, NA, stage:2, alive, 1350 days
1904.2
DO48757
68 years, female, NA, stage:3, alive, 480 days
1896.5
DO23528
45 years, female, NA, stage:2, alive, 1020 days
1889.9
DO50799
66 years, female, NA, stage:2, alive, 540 days
1790.8
DO45251
57 years, female, NA, stage:2, alive, 900 days
1745.2
DO45287
74 years, male, NA, stage:1, alive, 390 days
1741.0
DO50783
62 years, male, NA, stage:3, alive, 480 days
1731.7
DO48737
52 years, male, NA, stage:1, alive, 720 days
1715.9
DO48736
76 years, female, NA, stage:1, alive, 600 days
1707.5
DO45305
66 years, male, NA, stage:4, alive, 300 days
1633.5
DO45093
71 years, male, NA, stage:2, dead, 720 days
1628.1
DO45221
75 years, female, NA, stage:4, dead, 390 days
1618.5
DO23545
67 years, male, NA, stage:2, dead, 570 days
1591.2
DO45297
61 years, female, NA, stage:4, dead, 1260 days
1563.5
DO48715
58 years, female, NA, stage:2, dead, 690 days
1561.7
DO50855
47 years, male, NA, stage:2, alive, 570 days
1544.4
DO45187
32 years, female, NA, stage:1, alive, 1260 days
1529.7
DO45203
71 years, female, NA, stage:2, alive, 1170 days
1486.6
DO45183
72 years, female, NA, stage:2, dead, 570 days
1485.9
DO23530
53 years, male, NA, stage:4, dead, 180 days
1482.8
DO50814
83 years, male, NA, stage:3, alive, 420 days
1415.0
DO50859
77 years, male, NA, stage:2, alive, 180 days
1383.5
DO50806
70 years, male, NA, stage:4, alive, 540 days
1381.4
DO48747
62 years, male, NA, stage:3, alive, 540 days
1335.4
DO45095
66 years, male, NA, stage:2, alive, 1620 days
1320.8
DO50839
47 years, female, NA, stage:3, alive, 330 days
1320.5
DO23515
71 years, male, NA, stage:2, alive, 1230 days
1267.6
DO45249
57 years, male, NA, stage:1, alive, 630 days
1261.2
DO45283
60 years, male, NA, stage:3, alive, 510 days
1256.8
DO48706
72 years, male, NA, stage:2, alive, 870 days
1250.4
DO23516
69 years, male, NA, stage:3, dead, 20 days
1237.4
DO50820
77 years, female, NA, stage:3, alive, 510 days
1233.2
DO48727
81 years, female, NA, stage:2, dead, 390 days
1225.4
DO45161
74 years, male, NA, stage:2, dead, 540 days
1222.1
DO45127
73 years, male, NA, stage:3, dead, 420 days
1219.6
DO50832
73 years, male, NA, stage:3, alive, 90 days
1215.1
DO45171
56 years, male, NA, stage:3, alive, 600 days
1210.3
DO50805
72 years, male, NA, stage:2, alive, 690 days
1204.9
DO45205
67 years, female, NA, stage:2, dead, 90 days
1201.0
DO45211
76 years, male, NA, stage:3, alive, 240 days
1199.4
DO45149
70 years, female, NA, stage:2, alive, 1260 days
1153.9
DO48723
73 years, male, NA, stage:1, alive, 600 days
1136.8
DO50825
70 years, male, NA, stage:2, alive, 390 days
1117.5
DO23511
83 years, female, NA, stage:3, dead, 180 days
1116.2
DO45189
85 years, female, NA, stage:2, alive, 1200 days
1115.6
DO23519
65 years, male, NA, stage:3, alive, 630 days
1114.2
DO45239
42 years, male, NA, stage:2, alive, 870 days
1114.1
DO23508
79 years, female, NA, stage:2, alive, 390 days
1113.5
DO48721
58 years, female, NA, stage:1, alive, 900 days
1110.4
DO48751
68 years, male, NA, stage:2, dead, 480 days
1109.9
DO45145
78 years, male, NA, stage:3, dead, 60 days
1057.2
DO45191
61 years, female, NA, stage:2, alive, 1200 days
1056.7
DO45135
77 years, male, NA, stage:1, alive, 1410 days
1049.7
DO45219
78 years, male, NA, stage:2, alive, 1080 days
1049.4
DO23537
79 years, male, NA, stage:2, dead, 900 days
1033.7
DO48728
74 years, female, NA, stage:2, alive, 150 days
1020.2
DO45247
31 years, female, NA, stage:2, alive, 210 days
1005.7
DO45265
73 years, male, NA, stage:3, alive, 1020 days
986.2
DO48720
62 years, female, NA, stage:2, alive, 570 days
986.2
DO45173
63 years, male, NA, stage:3, alive, 1170 days
984.6
DO45179
78 years, female, NA, stage:2, alive, 600 days
971.1
DO23513
76 years, male, NA, stage:3, alive, 1200 days
960.5
DO23514
64 years, male, NA, stage:2, alive, 1290 days
954.8
DO45261
74 years, male, NA, stage:3, alive, 990 days
950.9
DO48730
73 years, female, NA, stage:2, alive, 630 days
934.3
DO23510
80 years, female, NA, stage:2, alive, 870 days
930.2
DO45243
74 years, female, NA, stage:3, alive, 930 days
929.4
DO50844
75 years, male, NA, stage:4, alive, 300 days
928.2
DO50817
75 years, male, NA, stage:2, alive, 390 days
926.1
DO45279
67 years, male, NA, stage:3, alive, 1290 days
923.0
DO45117
73 years, female, NA, stage:2, dead, 1110 days
919.2
DO45273
62 years, male, NA, stage:2, alive, 480 days
913.3
DO50793
76 years, male, NA, stage:4, alive, 540 days
905.7
DO45275
65 years, male, NA, stage:3, dead, 10 days
904.6
DO50857
72 years, male, NA, stage:2, alive, 210 days
897.5
DO23521
63 years, male, NA, stage:3, alive, 1110 days
895.2
DO50798
77 years, male, NA, stage:3, dead, 30 days
868.9
DO45175
74 years, male, NA, stage:2, alive, 1140 days
863.2
DO23523
52 years, male, NA, stage:3, alive, 1080 days
853.5
DO45103
47 years, male, NA, stage:3, alive, 450 days
847.0
DO23548
78 years, female, NA, stage:1, alive, 840 days
842.1
DO50802
49 years, male, NA, stage:2, alive, 930 days
835.0
DO48700
78 years, female, NA, stage:2, alive, 810 days
829.7
DO50811
62 years, male, NA, stage:1, alive, 450 days
825.6
DO50791
79 years, female, NA, stage:1, dead, 480 days
820.2
DO48712
50 years, male, NA, stage:2, alive, 810 days
818.0
DO48681
57 years, male, NA, stage:2, alive, 900 days
809.3
DO23536
56 years, male, NA, stage:2, alive, 930 days
809.3
DO45165
75 years, male, NA, stage:2, alive, 690 days
805.2
DO45177
81 years, female, NA, stage:3, alive, 1260 days
803.3
DO227801
77 years, female, NA, stage:1, alive, 660 days
800.4
DO45141
73 years, male, NA, stage:2, alive, 1320 days
796.8
DO45267
73 years, male, NA, stage:3, dead, 570 days
789.0
DO50789
73 years, female, NA, stage:2, alive, 570 days
782.3
DO48672
81 years, male, NA, stage:2, alive, 450 days
777.2
DO48741
64 years, male, NA, stage:3, alive, 240 days
763.1
DO50778
60 years, male, NA, stage:4, alive, 630 days
761.7
DO45181
84 years, female, NA, stage:2, alive, 1200 days
759.8
DO45123
78 years, female, NA, stage:2, dead, 570 days
758.6
DO50809
56 years, male, NA, stage:3, dead, 720 days
757.7
DO23547
74 years, male, NA, stage:1, alive, 1020 days
757.4
DO45153
77 years, female, NA, stage:2, alive, 1380 days
747.0
DO48725
66 years, male, NA, stage:1, alive, 780 days
744.4
DO45277
64 years, male, NA, stage:3, alive, 600 days
739.6
DO45301
56 years, male, NA, stage:2, dead, 1440 days
734.9
DO45213
58 years, male, NA, stage:1, alive, 1200 days
728.4
DO48759
73 years, male, NA, stage:3, alive, 720 days
728.3
DO45209
70 years, male, NA, stage:4, alive, 1350 days
727.3
DO50774
68 years, female, NA, stage:2, alive, 720 days
720.3
DO50822
66 years, male, NA, stage:2, alive, 510 days
719.5
DO45231
84 years, male, NA, stage:2, alive, 930 days
718.9
DO48704
68 years, female, NA, stage:3, alive, 750 days
717.6
DO45269
59 years, male, NA, stage:3, alive, 750 days
716.5
DO48733
72 years, male, NA, stage:2, alive, 600 days
713.4
DO45229
74 years, male, NA, stage:1, alive, 990 days
711.2
DO45091
56 years, male, NA, stage:2, dead, 1320 days
709.2
DO23542
66 years, male, NA, stage:3, alive, 960 days
704.1
DO45109
63 years, male, NA, stage:2, alive, 1590 days
699.5
DO45281
83 years, male, NA, stage:4, alive, 750 days
696.2
DO50803
62 years, female, NA, stage:1, alive, 540 days
694.6
DO23526
66 years, male, NA, stage:3, alive, 1050 days
694.0
DO45225
69 years, male, NA, stage:1, alive, 1050 days
686.1
DO50800
74 years, male, NA, stage:2, alive, 510 days
681.9
DO48677
58 years, male, NA, stage:3, alive, 1140 days
680.3
DO50776
75 years, male, NA, stage:1, alive, 690 days
668.9
DO50815
62 years, male, NA, stage:3, alive, 150 days
664.6
DO50819
72 years, female, NA, stage:2, alive, 510 days
664.4
DO23552
80 years, female, NA, stage:1, alive, 810 days
658.6
DO45241
49 years, male, NA, stage:1, alive, 1080 days
658.0
DO23543
63 years, male, NA, stage:2, alive, 1020 days
658.0
DO45139
63 years, male, NA, stage:3, alive, 1320 days
657.5
DO45099
46 years, male, NA, stage:3, alive, 1590 days
656.3
DO45201
49 years, male, NA, stage:1, alive, 900 days
656.1
DO50845
72 years, male, NA, stage:3, alive, 210 days
655.2
DO45185
89 years, male, NA, stage:2, alive, 600 days
646.3
DO45235
68 years, female, NA, stage:1, alive, 900 days
638.7
DO45255
81 years, male, NA, stage:3, alive, 720 days
636.2
DO23533
61 years, male, NA, stage:2, alive, 900 days
631.3
DO45157
62 years, male, NA, stage:2, alive, 1980 days
627.7
DO45237
58 years, male, NA, stage:2, alive, 900 days
621.5
DO23531
78 years, female, NA, stage:3, alive, 900 days
620.0
DO45159
65 years, male, NA, stage:3, alive, 1470 days
613.7
DO45253
50 years, male, NA, stage:2, alive, 870 days
601.5
DO48693
71 years, male, NA, stage:2, alive, 900 days
599.9
DO45245
75 years, female, NA, stage:2, dead, 240 days
586.5
DO45121
61 years, male, NA, stage:3, alive, 1530 days
585.0
DO45233
83 years, male, NA, stage:3, alive, 900 days
584.9
DO50829
78 years, male, NA, stage:3, alive, 570 days
580.7
DO23518
67 years, male, NA, stage:2, alive, 1320 days
571.1
DO50816
63 years, male, NA, stage:2, alive, 390 days
566.3
DO45155
69 years, male, NA, stage:2, alive, 2160 days
566.1
DO48732
73 years, male, NA, stage:3, alive, 630 days
563.3
DO45119
74 years, male, NA, stage:3, dead, 510 days
562.9
DO48719
80 years, male, NA, stage:2, alive, 690 days
559.7
DO45143
69 years, male, NA, stage:3, alive, 1290 days
556.2
DO48743
69 years, female, NA, stage:2, alive, 570 days
553.9
DO45163
76 years, male, NA, stage:2, alive, 960 days
553.5
DO45113
58 years, male, NA, stage:3, alive, 1560 days
551.1
DO45223
67 years, male, NA, stage:4, alive, 1020 days
550.5
DO23525
71 years, male, NA, stage:4, alive, 1050 days
549.8
DO45092
62 years, male, NA, stage:4, dead, 1200 days
546.9
DO23524
71 years, female, NA, stage:2, alive, 1050 days
540.1
DO48679
72 years, male, NA, stage:2, alive, 1200 days
526.6
DO50850
74 years, male, NA, stage:3, alive, 720 days
519.6
DO50804
81 years, male, NA, stage:2, alive, 720 days
517.5
DO48760
70 years, female, NA, stage:2, alive, 690 days
517.0
DO48695
77 years, male, NA, stage:2, alive, 720 days
512.8
DO45137
38 years, male, NA, stage:1, alive, 1320 days
509.2
DO45257
46 years, male, NA, stage:3, alive, 810 days
507.5
DO23535
67 years, male, NA, stage:1, alive, 960 days
505.6
DO23538
67 years, male, NA, stage:2, alive, 450 days
505.5
DO48746
76 years, male, NA, stage:3, alive, 570 days
504.3
DO50808
68 years, male, NA, stage:2, alive, 570 days
501.8
DO48717
54 years, male, NA, stage:4, dead, 180 days
491.4
DO23541
65 years, male, NA, stage:2, alive, 930 days
485.0
DO23549
74 years, male, NA, stage:3, alive, 990 days
482.9
DO45131
53 years, male, NA, stage:4, dead, 360 days
477.8
DO50813
56 years, male, NA, stage:2, alive, 420 days
469.1
DO45115
81 years, male, NA, stage:2, alive, 840 days
463.5
DO48674
80 years, male, NA, stage:2, alive, 1260 days
462.7
DO45169
74 years, male, NA, stage:3, alive, 1350 days
461.4
DO45227
57 years, female, NA, stage:2, alive, 1020 days
458.6
DO23529
72 years, male, NA, stage:4, alive, 930 days
454.4
DO23534
60 years, male, NA, stage:2, alive, 840 days
440.1
DO23546
63 years, male, NA, stage:2, alive, 1050 days
437.0
DO23539
77 years, male, NA, stage:1, alive, 1110 days
435.1
DO23551
73 years, male, NA, stage:3, dead, 150 days
434.4
DO50787
63 years, male, NA, stage:3, alive, 480 days
434.3
DO45096
69 years, male, NA, stage:2, dead, 1290 days
434.2
DO50818
65 years, male, NA, stage:2, alive, 510 days
431.7
DO227643
79 years, male, NA, stage:2, alive, 1260 days
429.6
DO23544
67 years, male, NA, stage:2, alive, 960 days
420.1
DO45129
61 years, male, NA, stage:3, alive, 1470 days
408.0
DO45107
63 years, female, NA, stage:2, alive, 1710 days
407.9
DO23527
72 years, male, NA, stage:1, alive, 1050 days
407.3
DO48742
76 years, male, NA, stage:2, alive, 600 days
407.2
DO48761
55 years, male, NA, stage:2, alive, 870 days
402.0
DO50807
67 years, male, NA, stage:1, alive, 540 days
392.8
DO48716
71 years, male, NA, stage:2, alive, 720 days
385.2
DO45207
68 years, male, NA, stage:1, alive, 1050 days
383.7
DO23550
69 years, male, NA, stage:1, alive, 990 days
380.2
DO48701
78 years, male, NA, stage:2, alive, 780 days
376.0
DO23540
73 years, male, NA, stage:1, alive, 750 days
368.0
DO23517
62 years, male, NA, stage:2, alive, 1200 days
367.7
DO45263
67 years, male, NA, stage:3, dead, 270 days
365.2
DO50840
49 years, male, NA, stage:2, alive, 330 days
360.3
DO45094
76 years, male, NA, stage:3, alive, 1650 days
359.9
DO23509
60 years, male, NA, stage:3, dead, 780 days
334.7
DO23532
71 years, female, NA, stage:1, alive, 960 days
320.6
DO23512
60 years, male, NA, stage:1, alive, 1260 days
319.7
DO45111
74 years, male, NA, stage:2, alive, 1590 days
311.9
DO45195
62 years, male, NA, stage:1, alive, 390 days
295.9
DO45125
58 years, male, NA, stage:3, alive, 1680 days
287.0
DO45215
65 years, male, NA, stage:2, alive, 1170 days
285.8
DO45133
64 years, male, NA, stage:3, dead, 660 days
282.8
DO45197
51 years, male, NA, stage:2, alive, 1170 days
264.7
DO45105
61 years, male, NA, stage:1, alive, 1680 days
259.4
DO45101
63 years, male, NA, stage:2, alive, 1680 days
235.1
DO45167
67 years, male, NA, stage:2, dead, 1440 days
190.3
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.