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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.
RPS25 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
752.2
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
3690.5
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
3073.0
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
2241.3
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
1983.7
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
1881.5
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
1874.8
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
1758.1
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
1751.2
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
1739.2
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
1733.3
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
1728.8
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
1623.2
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
1566.5
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
1443.3
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
1442.1
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
1433.8
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
1413.8
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
1392.9
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
1369.4
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
1365.8
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
1351.7
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
1313.4
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
1306.7
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1270.5
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
1265.6
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
1264.9
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
1258.9
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
1250.5
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
1241.6
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
1224.8
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
1223.4
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
1218.4
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
1208.6
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
1207.1
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
1198.3
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
1197.6
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
1188.1
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
1178.6
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
1166.5
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
1160.6
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
1149.2
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
1139.9
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
1133.3
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
1128.6
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
1105.4
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
1094.4
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
1090.5
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
1089.3
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
1084.1
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
1066.5
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
1061.3
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
1044.8
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
1044.3
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
1034.7
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
1031.6
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
1029.6
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
1027.6
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1016.9
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
1002.4
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
1000.6
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
999.0
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
997.4
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
995.2
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
993.8
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
988.5
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
985.5
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
981.3
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
979.1
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
974.3
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
971.6
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
970.3
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
970.0
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
964.6
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
950.9
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
948.3
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
948.1
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
943.8
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
943.6
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
942.5
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
939.8
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
937.8
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
931.7
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
930.8
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
926.5
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
926.5
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
923.8
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
922.3
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
919.6
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
919.2
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
915.9
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
908.2
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
905.2
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
903.8
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
897.7
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
895.1
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
895.0
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
894.6
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
893.7
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
883.4
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
878.0
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
872.7
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
872.0
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
855.7
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
853.5
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
843.6
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
841.7
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
841.4
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
840.4
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
833.5
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
829.0
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
822.4
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
822.2
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
818.1
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
811.7
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
808.0
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
807.0
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
803.2
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
800.1
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
799.4
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
798.2
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
796.3
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
796.0
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
793.5
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
792.6
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
788.4
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
787.3
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
782.5
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
782.2
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
779.5
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
775.0
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
770.8
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
768.8
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
762.3
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
762.2
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
762.0
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
760.5
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
759.4
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
759.1
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
759.1
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
756.0
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
753.3
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
752.7
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
752.0
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
751.8
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
751.8
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
750.2
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
746.9
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
745.5
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
745.4
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
744.8
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
743.4
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
734.8
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
734.0
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
733.4
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
732.8
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
730.8
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
730.6
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
725.7
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
724.3
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
718.6
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
712.9
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
704.4
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
702.7
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
701.7
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
692.5
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
690.8
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
687.8
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
684.8
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
682.8
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
681.2
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
680.6
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
680.5
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
680.0
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
679.0
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
678.3
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
678.1
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
672.8
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
668.9
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
667.3
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
666.1
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
663.6
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
661.3
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
660.9
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
659.8
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
659.3
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
658.1
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
658.0
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
657.8
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
653.9
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
653.1
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
652.6
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
651.5
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
650.5
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
650.3
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
650.1
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
645.4
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
639.4
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
638.6
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
636.3
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
636.2
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
634.0
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
633.6
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
633.5
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
629.8
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
629.8
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
628.1
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
626.9
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
624.5
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
622.1
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
620.0
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
619.7
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
619.6
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
619.4
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
616.7
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
616.4
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
610.2
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
608.6
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
608.2
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
603.6
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
599.8
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
598.4
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
597.8
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
593.5
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
591.1
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
590.3
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
583.3
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
581.5
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
577.6
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
571.6
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
569.5
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
569.4
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
568.6
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
567.8
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
567.6
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
566.9
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
564.6
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
564.4
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
564.2
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
562.6
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
561.8
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
557.1
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
556.3
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
555.7
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
553.6
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
552.8
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
552.1
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
550.1
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
549.2
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
548.9
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
547.6
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
543.3
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
542.3
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
540.2
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
540.1
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
537.9
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
535.3
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
533.7
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
532.8
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
530.3
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
527.8
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
526.1
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
521.7
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
520.2
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
519.8
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
519.2
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
518.6
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
518.4
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
517.4
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
515.4
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
513.6
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
512.1
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
512.0
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
511.2
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
511.1
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
510.6
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
508.9
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
508.5
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
508.0
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
506.8
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
506.0
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
504.6
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
502.6
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
502.5
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
498.5
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
493.5
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
492.0
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
490.6
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
489.3
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
485.0
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
480.8
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
480.6
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
479.5
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
479.4
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
475.1
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
472.8
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
470.0
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
469.3
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
466.7
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
465.5
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
464.0
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
457.3
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
453.5
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
452.5
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
451.0
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
448.3
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
445.5
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
443.5
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
441.3
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
439.6
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
436.7
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
435.7
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
434.9
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
434.0
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
431.8
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
430.6
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
428.6
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
426.1
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
424.7
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
424.1
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
423.6
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
419.9
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
419.6
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
418.8
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
415.4
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
413.1
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
412.9
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
410.9
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
410.7
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
407.7
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
398.9
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
397.1
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
395.6
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
395.3
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
388.6
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
387.5
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
387.1
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
387.1
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
386.9
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
379.8
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
363.7
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
362.1
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
361.3
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
359.7
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
354.7
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
348.9
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
345.2
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
338.8
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
333.6
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
332.0
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
332.0
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
325.2
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
323.4
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
319.4
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
309.5
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
305.2
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
303.8
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
300.7
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
290.1
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
288.2
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
284.9
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
280.0
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 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.
RPS25 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
1665.2
Number of samples
231
Samples
Sample
Description
pTPM
DO45285
59 years, male, NA, stage:3, alive, 480 days
5010.4
DO45221
75 years, female, NA, stage:4, dead, 390 days
4141.7
DO45189
85 years, female, NA, stage:2, alive, 1200 days
4001.0
DO50814
83 years, male, NA, stage:3, alive, 420 days
3762.3
DO45239
42 years, male, NA, stage:2, alive, 870 days
3761.1
DO23515
71 years, male, NA, stage:2, alive, 1230 days
3438.5
DO45303
62 years, female, NA, stage:3, alive, 990 days
3399.7
DO23530
53 years, male, NA, stage:4, dead, 180 days
3300.4
DO45209
70 years, male, NA, stage:4, alive, 1350 days
3143.9
DO45251
57 years, female, NA, stage:2, alive, 900 days
3057.2
DO45219
78 years, male, NA, stage:2, alive, 1080 days
3013.6
DO48747
62 years, male, NA, stage:3, alive, 540 days
2958.2
DO45277
64 years, male, NA, stage:3, alive, 600 days
2936.3
DO45097
69 years, male, NA, stage:3, alive, 1620 days
2909.4
DO45127
73 years, male, NA, stage:3, dead, 420 days
2882.5
DO50815
62 years, male, NA, stage:3, alive, 150 days
2882.5
DO50806
70 years, male, NA, stage:4, alive, 540 days
2829.2
DO50793
76 years, male, NA, stage:4, alive, 540 days
2803.2
DO45265
73 years, male, NA, stage:3, alive, 1020 days
2785.8
DO45287
74 years, male, NA, stage:1, alive, 390 days
2779.5
DO50785
37 years, male, NA, stage:4, dead, 90 days
2761.3
DO23508
79 years, female, NA, stage:2, alive, 390 days
2747.9
DO45299
70 years, female, NA, stage:1, alive, 1440 days
2702.7
DO45145
78 years, male, NA, stage:3, dead, 60 days
2659.0
DO45307
54 years, female, NA, stage:4, dead, 240 days
2631.5
DO45305
66 years, male, NA, stage:4, alive, 300 days
2623.6
DO45227
57 years, female, NA, stage:2, alive, 1020 days
2621.5
DO23536
56 years, male, NA, stage:2, alive, 930 days
2611.3
DO23537
79 years, male, NA, stage:2, dead, 900 days
2609.5
DO45279
67 years, male, NA, stage:3, alive, 1290 days
2594.0
DO23519
65 years, male, NA, stage:3, alive, 630 days
2578.4
DO48733
72 years, male, NA, stage:2, alive, 600 days
2541.8
DO48751
68 years, male, NA, stage:2, dead, 480 days
2532.7
DO48682
72 years, female, NA, stage:3, dead, 120 days
2480.8
DO48715
58 years, female, NA, stage:2, dead, 690 days
2480.4
DO45249
57 years, male, NA, stage:1, alive, 630 days
2437.4
DO45269
59 years, male, NA, stage:3, alive, 750 days
2429.6
DO23545
67 years, male, NA, stage:2, dead, 570 days
2413.9
DO45217
69 years, female, NA, stage:3, dead, 270 days
2400.8
DO50778
60 years, male, NA, stage:4, alive, 630 days
2356.4
DO45173
63 years, male, NA, stage:3, alive, 1170 days
2344.7
DO45283
60 years, male, NA, stage:3, alive, 510 days
2344.5
DO48737
52 years, male, NA, stage:1, alive, 720 days
2309.0
DO50855
47 years, male, NA, stage:2, alive, 570 days
2304.4
DO45183
72 years, female, NA, stage:2, dead, 570 days
2262.0
DO23526
66 years, male, NA, stage:3, alive, 1050 days
2261.4
DO45211
76 years, male, NA, stage:3, alive, 240 days
2243.4
DO45289
78 years, female, NA, stage:3, alive, 360 days
2220.4
DO45267
73 years, male, NA, stage:3, dead, 570 days
2210.9
DO50799
66 years, female, NA, stage:2, alive, 540 days
2185.0
DO45281
83 years, male, NA, stage:4, alive, 750 days
2178.3
DO45245
75 years, female, NA, stage:2, dead, 240 days
2134.9
DO50825
70 years, male, NA, stage:2, alive, 390 days
2107.4
DO45179
78 years, female, NA, stage:2, alive, 600 days
2105.9
DO48730
73 years, female, NA, stage:2, alive, 630 days
2103.5
DO50791
79 years, female, NA, stage:1, dead, 480 days
2086.7
DO45247
31 years, female, NA, stage:2, alive, 210 days
2076.2
DO45165
75 years, male, NA, stage:2, alive, 690 days
2054.0
DO45259
65 years, male, NA, stage:3, alive, 330 days
2048.4
DO45103
47 years, male, NA, stage:3, alive, 450 days
2045.6
DO45297
61 years, female, NA, stage:4, dead, 1260 days
2019.6
DO45135
77 years, male, NA, stage:1, alive, 1410 days
2006.2
DO45301
56 years, male, NA, stage:2, dead, 1440 days
1987.8
DO48736
76 years, female, NA, stage:1, alive, 600 days
1986.4
DO23521
63 years, male, NA, stage:3, alive, 1110 days
1984.5
DO45205
67 years, female, NA, stage:2, dead, 90 days
1971.3
DO45141
73 years, male, NA, stage:2, alive, 1320 days
1970.6
DO45243
74 years, female, NA, stage:3, alive, 930 days
1960.2
DO45231
84 years, male, NA, stage:2, alive, 930 days
1957.0
DO45175
74 years, male, NA, stage:2, alive, 1140 days
1948.1
DO23514
64 years, male, NA, stage:2, alive, 1290 days
1947.9
DO48672
81 years, male, NA, stage:2, alive, 450 days
1939.7
DO48706
72 years, male, NA, stage:2, alive, 870 days
1936.9
DO45093
71 years, male, NA, stage:2, dead, 720 days
1915.4
DO48720
62 years, female, NA, stage:2, alive, 570 days
1913.7
DO45095
66 years, male, NA, stage:2, alive, 1620 days
1910.9
DO50802
49 years, male, NA, stage:2, alive, 930 days
1886.8
DO23533
61 years, male, NA, stage:2, alive, 900 days
1858.2
DO45185
89 years, male, NA, stage:2, alive, 600 days
1844.4
DO48728
74 years, female, NA, stage:2, alive, 150 days
1822.1
DO45213
58 years, male, NA, stage:1, alive, 1200 days
1801.2
DO50809
56 years, male, NA, stage:3, dead, 720 days
1780.2
DO48723
73 years, male, NA, stage:1, alive, 600 days
1765.0
DO23510
80 years, female, NA, stage:2, alive, 870 days
1754.2
DO23543
63 years, male, NA, stage:2, alive, 1020 days
1751.6
DO45273
62 years, male, NA, stage:2, alive, 480 days
1733.9
DO23542
66 years, male, NA, stage:3, alive, 960 days
1732.4
DO45187
32 years, female, NA, stage:1, alive, 1260 days
1721.5
DO23523
52 years, male, NA, stage:3, alive, 1080 days
1716.7
DO23528
45 years, female, NA, stage:2, alive, 1020 days
1709.4
DO45253
50 years, male, NA, stage:2, alive, 870 days
1708.7
DO45163
76 years, male, NA, stage:2, alive, 960 days
1707.4
DO45223
67 years, male, NA, stage:4, alive, 1020 days
1695.3
DO45092
62 years, male, NA, stage:4, dead, 1200 days
1692.6
DO48677
58 years, male, NA, stage:3, alive, 1140 days
1676.7
DO50859
77 years, male, NA, stage:2, alive, 180 days
1673.5
DO48759
73 years, male, NA, stage:3, alive, 720 days
1666.5
DO45203
71 years, female, NA, stage:2, alive, 1170 days
1663.6
DO48746
76 years, male, NA, stage:3, alive, 570 days
1661.3
DO50811
62 years, male, NA, stage:1, alive, 450 days
1619.9
DO45143
69 years, male, NA, stage:3, alive, 1290 days
1618.3
DO45181
84 years, female, NA, stage:2, alive, 1200 days
1609.3
DO48727
81 years, female, NA, stage:2, dead, 390 days
1600.7
DO45161
74 years, male, NA, stage:2, dead, 540 days
1588.6
DO45193
68 years, female, NA, stage:4, dead, 120 days
1551.4
DO48697
64 years, female, NA, stage:2, dead, 810 days
1548.4
DO45119
74 years, male, NA, stage:3, dead, 510 days
1516.2
DO45261
74 years, male, NA, stage:3, alive, 990 days
1498.1
DO45201
49 years, male, NA, stage:1, alive, 900 days
1494.5
DO50820
77 years, female, NA, stage:3, alive, 510 days
1492.6
DO45117
73 years, female, NA, stage:2, dead, 1110 days
1491.1
DO48725
66 years, male, NA, stage:1, alive, 780 days
1481.2
DO23549
74 years, male, NA, stage:3, alive, 990 days
1469.6
DO45225
69 years, male, NA, stage:1, alive, 1050 days
1469.2
DO48712
50 years, male, NA, stage:2, alive, 810 days
1456.9
DO48732
73 years, male, NA, stage:3, alive, 630 days
1456.9
DO50813
56 years, male, NA, stage:2, alive, 420 days
1454.2
DO50800
74 years, male, NA, stage:2, alive, 510 days
1449.8
DO45137
38 years, male, NA, stage:1, alive, 1320 days
1441.7
DO23513
76 years, male, NA, stage:3, alive, 1200 days
1439.6
DO23534
60 years, male, NA, stage:2, alive, 840 days
1422.1
DO50829
78 years, male, NA, stage:3, alive, 570 days
1421.5
DO50857
72 years, male, NA, stage:2, alive, 210 days
1416.8
DO45275
65 years, male, NA, stage:3, dead, 10 days
1411.6
DO45113
58 years, male, NA, stage:3, alive, 1560 days
1397.8
DO50798
77 years, male, NA, stage:3, dead, 30 days
1391.2
DO45207
68 years, male, NA, stage:1, alive, 1050 days
1389.0
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1388.5
DO45177
81 years, female, NA, stage:3, alive, 1260 days
1388.0
DO45171
56 years, male, NA, stage:3, alive, 600 days
1370.9
DO23546
63 years, male, NA, stage:2, alive, 1050 days
1361.8
DO50850
74 years, male, NA, stage:3, alive, 720 days
1359.4
DO50839
47 years, female, NA, stage:3, alive, 330 days
1351.2
DO50817
75 years, male, NA, stage:2, alive, 390 days
1344.8
DO23548
78 years, female, NA, stage:1, alive, 840 days
1344.7
DO48717
54 years, male, NA, stage:4, dead, 180 days
1338.9
DO50808
68 years, male, NA, stage:2, alive, 570 days
1336.8
DO23540
73 years, male, NA, stage:1, alive, 750 days
1328.6
DO23547
74 years, male, NA, stage:1, alive, 1020 days
1321.0
DO50822
66 years, male, NA, stage:2, alive, 510 days
1318.1
DO45149
70 years, female, NA, stage:2, alive, 1260 days
1314.5
DO45109
63 years, male, NA, stage:2, alive, 1590 days
1308.1
DO48719
80 years, male, NA, stage:2, alive, 690 days
1302.4
DO45139
63 years, male, NA, stage:3, alive, 1320 days
1296.0
DO45229
74 years, male, NA, stage:1, alive, 990 days
1290.7
DO45169
74 years, male, NA, stage:3, alive, 1350 days
1274.7
DO45257
46 years, male, NA, stage:3, alive, 810 days
1266.0
DO45091
56 years, male, NA, stage:2, dead, 1320 days
1264.5
DO50805
72 years, male, NA, stage:2, alive, 690 days
1263.7
DO45121
61 years, male, NA, stage:3, alive, 1530 days
1262.0
DO50774
68 years, female, NA, stage:2, alive, 720 days
1258.7
DO23541
65 years, male, NA, stage:2, alive, 930 days
1258.6
DO23524
71 years, female, NA, stage:2, alive, 1050 days
1254.1
DO50783
62 years, male, NA, stage:3, alive, 480 days
1252.6
DO50816
63 years, male, NA, stage:2, alive, 390 days
1241.8
DO23529
72 years, male, NA, stage:4, alive, 930 days
1231.4
DO45199
86 years, female, NA, stage:2, alive, 1350 days
1228.5
DO23511
83 years, female, NA, stage:3, dead, 180 days
1226.5
DO45155
69 years, male, NA, stage:2, alive, 2160 days
1225.3
DO45159
65 years, male, NA, stage:3, alive, 1470 days
1223.1
DO50804
81 years, male, NA, stage:2, alive, 720 days
1220.5
DO48679
72 years, male, NA, stage:2, alive, 1200 days
1215.2
DO45255
81 years, male, NA, stage:3, alive, 720 days
1204.8
DO50818
65 years, male, NA, stage:2, alive, 510 days
1197.7
DO23531
78 years, female, NA, stage:3, alive, 900 days
1188.1
DO45133
64 years, male, NA, stage:3, dead, 660 days
1175.5
DO50807
67 years, male, NA, stage:1, alive, 540 days
1171.5
DO45157
62 years, male, NA, stage:2, alive, 1980 days
1170.4
DO23535
67 years, male, NA, stage:1, alive, 960 days
1170.4
DO45125
58 years, male, NA, stage:3, alive, 1680 days
1169.4
DO45235
68 years, female, NA, stage:1, alive, 900 days
1168.8
DO50789
73 years, female, NA, stage:2, alive, 570 days
1168.1
DO50787
63 years, male, NA, stage:3, alive, 480 days
1145.6
DO45241
49 years, male, NA, stage:1, alive, 1080 days
1144.8
DO48700
78 years, female, NA, stage:2, alive, 810 days
1144.7
DO23539
77 years, male, NA, stage:1, alive, 1110 days
1134.0
DO227801
77 years, female, NA, stage:1, alive, 660 days
1131.8
DO48741
64 years, male, NA, stage:3, alive, 240 days
1125.9
DO50776
75 years, male, NA, stage:1, alive, 690 days
1125.8
DO45153
77 years, female, NA, stage:2, alive, 1380 days
1110.3
DO45233
83 years, male, NA, stage:3, alive, 900 days
1106.0
DO45123
78 years, female, NA, stage:2, dead, 570 days
1085.7
DO23518
67 years, male, NA, stage:2, alive, 1320 days
1085.0
DO45096
69 years, male, NA, stage:2, dead, 1290 days
1077.3
DO23544
67 years, male, NA, stage:2, alive, 960 days
1066.8
DO23538
67 years, male, NA, stage:2, alive, 450 days
1065.1
DO48704
68 years, female, NA, stage:3, alive, 750 days
1052.4
DO23551
73 years, male, NA, stage:3, dead, 150 days
1049.3
DO45099
46 years, male, NA, stage:3, alive, 1590 days
1049.0
DO48716
71 years, male, NA, stage:2, alive, 720 days
1041.9
DO48757
68 years, female, NA, stage:3, alive, 480 days
1030.9
DO23527
72 years, male, NA, stage:1, alive, 1050 days
1016.1
DO45197
51 years, male, NA, stage:2, alive, 1170 days
1015.7
DO23517
62 years, male, NA, stage:2, alive, 1200 days
1006.0
DO48674
80 years, male, NA, stage:2, alive, 1260 days
987.1
DO45263
67 years, male, NA, stage:3, dead, 270 days
979.6
DO48721
58 years, female, NA, stage:1, alive, 900 days
966.8
DO48743
69 years, female, NA, stage:2, alive, 570 days
966.2
DO23552
80 years, female, NA, stage:1, alive, 810 days
957.5
DO50832
73 years, male, NA, stage:3, alive, 90 days
950.1
DO48695
77 years, male, NA, stage:2, alive, 720 days
949.0
DO45215
65 years, male, NA, stage:2, alive, 1170 days
940.3
DO45191
61 years, female, NA, stage:2, alive, 1200 days
937.9
DO48761
55 years, male, NA, stage:2, alive, 870 days
929.9
DO45131
53 years, male, NA, stage:4, dead, 360 days
923.6
DO45129
61 years, male, NA, stage:3, alive, 1470 days
914.2
DO48681
57 years, male, NA, stage:2, alive, 900 days
906.7
DO50803
62 years, female, NA, stage:1, alive, 540 days
898.3
DO23516
69 years, male, NA, stage:3, dead, 20 days
892.7
DO48701
78 years, male, NA, stage:2, alive, 780 days
872.6
DO48693
71 years, male, NA, stage:2, alive, 900 days
832.0
DO45195
62 years, male, NA, stage:1, alive, 390 days
830.6
DO50819
72 years, female, NA, stage:2, alive, 510 days
825.0
DO50845
72 years, male, NA, stage:3, alive, 210 days
823.4
DO48742
76 years, male, NA, stage:2, alive, 600 days
821.8
DO45237
58 years, male, NA, stage:2, alive, 900 days
820.2
DO23550
69 years, male, NA, stage:1, alive, 990 days
818.5
DO45094
76 years, male, NA, stage:3, alive, 1650 days
815.5
DO50844
75 years, male, NA, stage:4, alive, 300 days
789.1
DO23532
71 years, female, NA, stage:1, alive, 960 days
771.4
DO45101
63 years, male, NA, stage:2, alive, 1680 days
762.3
DO23512
60 years, male, NA, stage:1, alive, 1260 days
736.2
DO45115
81 years, male, NA, stage:2, alive, 840 days
722.9
DO48760
70 years, female, NA, stage:2, alive, 690 days
707.9
DO227643
79 years, male, NA, stage:2, alive, 1260 days
677.3
DO45105
61 years, male, NA, stage:1, alive, 1680 days
649.7
DO45107
63 years, female, NA, stage:2, alive, 1710 days
625.5
DO23509
60 years, male, NA, stage:3, dead, 780 days
597.0
DO50840
49 years, male, NA, stage:2, alive, 330 days
559.0
DO45111
74 years, male, NA, stage:2, alive, 1590 days
555.0
DO45167
67 years, male, NA, stage:2, dead, 1440 days
516.7
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LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
537
Tumor
0.8
557
Tumor
0.7
1021
Tumor
0.6
523
Tumor
0.6
965
Tumor
0.6
327
Tumor
0.5
514
Normal
0.5
957
Tumor
0.5
533
Tumor
0.5
524
Normal
0.5
937
Tumor
0.5
851
Tumor
0.4
951
Tumor
0.4
545
Tumor
0.4
367
Tumor
0.4
1014
Normal
0.4
1025
Tumor
0.4
967
Tumor
0.4
661
Tumor
0.4
517
Tumor
0.4
484
Normal
0.4
525
Tumor
0.4
554
Normal
0.4
912
Normal
0.4
131
Tumor
0.4
513
Tumor
0.4
944
Normal
0.4
518
Normal
0.3
923
Tumor
0.3
534
Normal
0.3
535
Tumor
0.3
497
Tumor
0.3
777
Tumor
0.3
983
Tumor
0.3
984
Normal
0.3
1031
Tumor
0.3
356
Normal
0.3
815
Tumor
0.3
448
Normal
0.3
685
Tumor
0.3
526
Normal
0.3
955
Tumor
0.3
528
Normal
0.3
516
Normal
0.3
353
Tumor
0.3
922
Normal
0.3
727
Tumor
0.3
978
Normal
0.3
285
Tumor
0.3
567
Tumor
0.3
515
Tumor
0.3
918
Normal
0.3
546
Normal
0.3
745
Tumor
0.3
953
Tumor
0.3
1016
Normal
0.3
212
Normal
0.3
494
Normal
0.3
481
Tumor
0.3
488
Normal
0.3
493
Tumor
0.3
926
Normal
0.3
1044
Normal
0.3
723
Tumor
0.3
355
Tumor
0.3
558
Normal
0.3
113
Tumor
0.3
1022
Normal
0.3
617
Tumor
0.3
916
Normal
0.3
824
Normal
0.3
724
Normal
0.2
938
Normal
0.2
968
Normal
0.2
785
Tumor
0.2
1015
Tumor
0.2
413
Tumor
0.2
958
Normal
0.2
696
Normal
0.2
228
Normal
0.2
527
Tumor
0.2
866
Normal
0.2
1027
Tumor
0.2
884
Normal
0.2
966
Normal
0.2
331
Tumor
0.2
483
Tumor
0.2
756
Normal
0.2
981
Tumor
0.2
284
Normal
0.2
743
Tumor
0.2
882
Normal
0.2
387
Tumor
0.2
864
Normal
0.2
364
Normal
0.2
411
Tumor
0.2
865
Tumor
0.2
572
Normal
0.2
697
Tumor
0.2
267
Tumor
0.2
924
Normal
0.2
952
Normal
0.2
721
Tumor
0.2
1043
Tumor
0.2
393
Tumor
0.2
462
Normal
0.2
135
Tumor
0.2
664
Normal
0.2
492
Normal
0.2
728
Normal
0.2
686
Normal
0.2
314
Normal
0.2
714
Normal
0.2
852
Normal
0.2
553
Tumor
0.2
964
Normal
0.2
943
Tumor
0.2
487
Tumor
0.2
376
Normal
0.2
862
Normal
0.2
878
Normal
0.2
1032
Normal
0.2
412
Normal
0.2
636
Normal
0.2
738
Normal
0.2
858
Normal
0.2
1026
Normal
0.2
915
Tumor
0.2
568
Normal
0.2
195
Tumor
0.2
628
Normal
0.2
913
Tumor
0.2
223
Tumor
0.2
817
Tumor
0.2
648
Normal
0.2
191
Tumor
0.2
778
Normal
0.2
467
Tumor
0.2
352
Normal
0.2
363
Tumor
0.2
362
Normal
0.2
431
Tumor
0.2
976
Normal
0.2
286
Normal
0.2
742
Normal
0.2
755
Tumor
0.1
232
Normal
0.1
716
Normal
0.1
211
Tumor
0.1
746
Normal
0.1
1028
Normal
0.1
982
Normal
0.1
466
Normal
0.1
536
Normal
0.1
358
Normal
0.1
816
Normal
0.1
647
Tumor
0.1
666
Normal
0.1
861
Tumor
0.1
698
Normal
0.1
857
Tumor
0.1
298
Normal
0.1
392
Normal
0.1
715
Tumor
0.1
737
Tumor
0.1
662
Normal
0.1
573
Tumor
0.1
1042
Normal
0.1
722
Normal
0.1
818
Normal
0.1
351
Tumor
0.1
218
Normal
0.1
482
Normal
0.1
786
Normal
0.1
436
Normal
0.1
571
Tumor
0.1
1046
Normal
0.1
873
Tumor
0.1
1013
Tumor
0.1
471
Tumor
0.1
231
Tumor
0.1
432
Normal
0.1
328
Normal
0.1
227
Tumor
0.1
415
Tumor
0.1
422
Normal
0.1
921
Tumor
0.1
954
Normal
0.1
672
Normal
0.1
395
Tumor
0.1
443
Tumor
0.1
977
Tumor
0.1
277
Tumor
0.1
147
Tumor
0.1
414
Normal
0.1
224
Normal
0.1
881
Tumor
0.1
257
Tumor
0.1
132
Normal
0.1
665
Tumor
0.1
867
Tumor
0.1
136
Normal
0.1
342
Normal
0.1
975
Tumor
0.1
538
Normal
0.1
332
Normal
0.1
472
Normal
0.1
187
Tumor
0.1
616
Normal
0.1
474
Normal
0.1
344
Normal
0.1
447
Tumor
0.1
221
Tumor
0.1
435
Tumor
0.1
564
Normal
0.1
385
Tumor
0.1
695
Tumor
0.1
222
Normal
0.1
214
Normal
0.1
148
Normal
0.0
963
Tumor
0.0
142
Normal
0.0
868
Normal
0.0
258
Normal
0.0
451
Tumor
0.0
278
Normal
0.0
128
Normal
0.0
1041
Tumor
0.0
354
Normal
0.0
461
Tumor
0.0
427
Tumor
0.0
956
Normal
0.0
671
Tumor
0.0
416
Normal
0.0
137
Tumor
0.0
272
Normal
0.0
384
Normal
0.0
426
Normal
0.0
262
Normal
0.0
162
Normal
0.0
213
Tumor
0.0
138
Normal
0.0
883
Tumor
0.0
375
Tumor
0.0
366
Normal
0.0
925
Tumor
0.0
455
Tumor
0.0
114
Normal
0.0
368
Normal
0.0
312
Normal
0.0
465
Tumor
0.0
196
Normal
0.0
446
Normal
0.0
361
Tumor
0.0
874
Normal
0.0
663
Tumor
0.0
615
Tumor
0.0
917
Tumor
0.0
172
Normal
0.0
111
Normal
0.0
421
Tumor
0.0
445
Tumor
0.0
468
Normal
0.0
473
Tumor
0.0
478
Normal
0.0
452
Normal
0.0
425
Tumor
0.0
171
Tumor
0.0
145
Tumor
0.0
394
Normal
0.0
434
Normal
0.0
563
Tumor
0.0
424
Normal
0.0
823
Tumor
0.0
186
Normal
0.0
713
Tumor
0.0
433
Tumor
-0.1
112
Tumor
-0.1
423
Tumor
-0.1
341
Tumor
-0.1
386
Normal
-0.1
271
Tumor
-0.1
914
Normal
-0.1
297
Tumor
-0.1
268
Normal
-0.1
188
Normal
-0.1
428
Normal
-0.1
911
Tumor
-0.1
388
Normal
-0.1
217
Tumor
-0.1
396
Normal
-0.1
477
Tumor
-0.1
863
Tumor
-0.1
1045
Tumor
-0.1
444
Normal
-0.1
146
Normal
-0.1
618
Normal
-0.1
365
Tumor
-0.1
357
Tumor
-0.1
161
Tumor
-0.1
313
Tumor
-0.1
464
Normal
-0.1
124
Normal
-0.1
141
Tumor
-0.1
498
Normal
-0.1
635
Tumor
-0.1
744
Normal
-0.1
261
Tumor
-0.1
456
Normal
-0.1
283
Tumor
-0.1
126
Normal
-0.2
813
Tumor
-0.2
127
Tumor
-0.2
814
Normal
-0.2
574
Normal
-0.2
391
Tumor
-0.2
877
Tumor
-0.2
123
Tumor
-0.2
463
Tumor
-0.2
741
Tumor
-0.2
642
Normal
-0.2
641
Tumor
-0.2
491
Tumor
-0.2
125
Tumor
-0.2
185
Tumor
-0.3
311
Tumor
-0.3
192
Normal
-0.3
343
Tumor
-0.3
383
Tumor
-0.3
627
Tumor
-0.4
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LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.