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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.
RPL23A is validated prognostic, high expression is unfavorable in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
1009.7
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
9503.5
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
5267.5
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
4425.3
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
4076.4
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
3525.6
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
3430.1
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
3376.6
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
3147.7
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
3093.7
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
2995.0
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
2690.7
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
2621.8
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
2530.7
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
2505.0
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
2467.2
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
2451.6
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
2447.7
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
2359.4
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
2284.1
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
2260.1
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
2228.2
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
2157.3
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
2148.5
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
2070.9
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
2065.1
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
2041.0
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
2030.6
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
2020.2
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
1966.2
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
1961.5
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
1925.0
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
1914.6
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
1905.0
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
1884.7
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
1883.4
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
1882.3
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
1877.9
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
1870.6
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
1860.2
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
1839.2
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
1790.4
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
1735.5
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
1718.1
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
1695.1
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
1683.3
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
1670.5
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
1605.3
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
1592.9
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
1591.2
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
1585.5
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
1585.3
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
1578.3
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
1577.0
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
1575.3
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
1520.4
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
1519.1
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
1507.4
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
1499.0
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
1495.2
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
1487.5
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
1479.4
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
1479.4
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
1467.2
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
1457.4
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
1454.6
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
1450.6
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
1428.9
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
1422.1
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
1411.1
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
1385.2
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
1382.0
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
1382.0
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
1375.7
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
1368.6
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
1363.8
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
1350.3
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
1329.8
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
1322.0
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
1293.0
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
1282.1
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
1279.6
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
1266.4
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
1265.1
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
1248.9
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
1245.6
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
1241.7
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1234.1
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
1233.7
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
1227.2
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
1220.1
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
1215.5
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
1205.9
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
1195.0
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
1180.7
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
1152.6
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
1142.7
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
1138.3
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
1131.8
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
1112.6
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
1100.7
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
1088.1
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
1081.3
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
1076.4
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
1074.9
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
1066.3
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
1059.1
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
1057.8
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
1054.5
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
1052.3
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
1041.8
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
1040.0
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
1031.7
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
1026.3
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
1018.6
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
1018.0
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
1014.8
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1014.3
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
996.6
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
988.2
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
987.8
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
977.5
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
971.9
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
963.5
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
955.1
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
950.8
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
947.9
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
946.0
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
934.2
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
932.5
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
931.6
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
930.5
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
929.8
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
928.0
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
925.9
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
925.0
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
909.2
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
905.2
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
903.0
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
902.4
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
901.4
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
900.9
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
900.3
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
900.2
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
900.0
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
894.1
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
888.9
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
888.5
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
880.3
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
877.0
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
870.6
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
862.4
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
853.4
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
850.0
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
835.5
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
834.3
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
833.3
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
827.6
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
823.3
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
823.1
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
822.4
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
817.8
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
816.6
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
816.2
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
811.3
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
809.9
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
806.7
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
801.5
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
801.2
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
801.1
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
801.1
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
799.2
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
796.3
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
795.7
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
793.3
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
791.7
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
789.7
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
789.0
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
787.8
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
784.3
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
783.4
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
780.9
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
778.9
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
778.6
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
776.6
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
773.6
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
772.9
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
772.1
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
770.0
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
768.5
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
753.4
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
749.7
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
748.6
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
743.2
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
739.3
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
738.4
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
735.4
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
733.3
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
732.0
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
731.9
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
731.7
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
723.3
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
718.6
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
718.1
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
715.0
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
714.0
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
712.0
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
710.1
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
709.6
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
709.2
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
708.4
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
706.8
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
705.3
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
702.8
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
700.0
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
694.5
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
692.8
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
691.9
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
691.1
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
687.7
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
683.2
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
683.0
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
682.0
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
676.5
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
673.2
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
668.4
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
668.4
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
665.5
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
660.6
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
658.3
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
649.5
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
648.3
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
647.0
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
645.1
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
644.8
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
643.1
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
639.1
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
636.5
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
635.7
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
631.0
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
629.5
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
629.2
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
628.6
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
628.5
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
624.8
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
620.7
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
619.2
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
618.2
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
617.2
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
617.0
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
615.8
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
608.8
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
607.9
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
606.4
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
602.4
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
598.0
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
591.5
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
589.9
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
589.7
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
587.2
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
585.2
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
584.9
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
584.8
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
577.6
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
577.4
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
577.0
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
576.5
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
575.5
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
571.8
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
569.8
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
567.0
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
564.2
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
564.1
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
562.9
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
562.1
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
560.7
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
554.9
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
554.7
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
548.4
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
544.5
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
544.5
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
539.3
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
537.9
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
537.4
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
537.1
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
534.8
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
530.1
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
529.0
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
526.6
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
525.0
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
523.7
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
523.4
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
520.3
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
514.0
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
510.9
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
507.2
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
503.3
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
498.8
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
493.8
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
491.4
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
488.9
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
488.2
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
487.3
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
485.0
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
484.3
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
483.3
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
476.9
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
471.2
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
468.9
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
465.8
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
465.0
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
462.3
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
459.3
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
459.2
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
458.4
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
455.2
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
452.6
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
452.3
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
451.7
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
450.2
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
446.7
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
446.5
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
446.2
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
441.6
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
439.9
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
436.8
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
435.8
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
430.9
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
430.4
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
428.9
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
427.3
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
423.6
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
419.5
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
417.4
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
416.9
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
416.7
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
416.7
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
414.8
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
414.1
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
411.2
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
409.7
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
403.3
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
401.9
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
400.4
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
394.7
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
390.6
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
385.1
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
381.3
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
377.6
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
375.0
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
374.2
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
364.0
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
360.6
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
353.6
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
347.4
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
336.3
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
334.7
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
325.0
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
320.5
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
318.2
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
311.2
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
305.7
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 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.
RPL23A is validated 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
1081.0
Number of samples
231
Samples
Sample
Description
pTPM
DO45285
59 years, male, NA, stage:3, alive, 480 days
4057.0
DO50791
79 years, female, NA, stage:1, dead, 480 days
2857.9
DO45093
71 years, male, NA, stage:2, dead, 720 days
2800.3
DO50785
37 years, male, NA, stage:4, dead, 90 days
2768.7
DO23515
71 years, male, NA, stage:2, alive, 1230 days
2735.0
DO45303
62 years, female, NA, stage:3, alive, 990 days
2726.0
DO48741
64 years, male, NA, stage:3, alive, 240 days
2670.8
DO50814
83 years, male, NA, stage:3, alive, 420 days
2645.1
DO50806
70 years, male, NA, stage:4, alive, 540 days
2542.2
DO45269
59 years, male, NA, stage:3, alive, 750 days
2485.5
DO23530
53 years, male, NA, stage:4, dead, 180 days
2463.2
DO50799
66 years, female, NA, stage:2, alive, 540 days
2421.1
DO45289
78 years, female, NA, stage:3, alive, 360 days
2342.9
DO45307
54 years, female, NA, stage:4, dead, 240 days
2315.4
DO45299
70 years, female, NA, stage:1, alive, 1440 days
2295.4
DO45193
68 years, female, NA, stage:4, dead, 120 days
2227.9
DO45127
73 years, male, NA, stage:3, dead, 420 days
2208.8
DO48747
62 years, male, NA, stage:3, alive, 540 days
2179.0
DO23519
65 years, male, NA, stage:3, alive, 630 days
2130.6
DO45189
85 years, female, NA, stage:2, alive, 1200 days
2115.6
DO45259
65 years, male, NA, stage:3, alive, 330 days
2091.8
DO45205
67 years, female, NA, stage:2, dead, 90 days
1949.6
DO45305
66 years, male, NA, stage:4, alive, 300 days
1933.5
DO45279
67 years, male, NA, stage:3, alive, 1290 days
1906.9
DO45287
74 years, male, NA, stage:1, alive, 390 days
1891.0
DO45161
74 years, male, NA, stage:2, dead, 540 days
1822.5
DO45245
75 years, female, NA, stage:2, dead, 240 days
1820.1
DO23545
67 years, male, NA, stage:2, dead, 570 days
1754.6
DO48697
64 years, female, NA, stage:2, dead, 810 days
1728.4
DO45239
42 years, male, NA, stage:2, alive, 870 days
1727.2
DO50778
60 years, male, NA, stage:4, alive, 630 days
1724.7
DO48682
72 years, female, NA, stage:3, dead, 120 days
1708.9
DO45183
72 years, female, NA, stage:2, dead, 570 days
1668.2
DO45251
57 years, female, NA, stage:2, alive, 900 days
1655.3
DO48715
58 years, female, NA, stage:2, dead, 690 days
1647.0
DO45211
76 years, male, NA, stage:3, alive, 240 days
1622.4
DO45283
60 years, male, NA, stage:3, alive, 510 days
1573.0
DO45219
78 years, male, NA, stage:2, alive, 1080 days
1565.6
DO23537
79 years, male, NA, stage:2, dead, 900 days
1556.0
DO45265
73 years, male, NA, stage:3, alive, 1020 days
1549.5
DO48730
73 years, female, NA, stage:2, alive, 630 days
1538.2
DO45231
84 years, male, NA, stage:2, alive, 930 days
1536.8
DO23521
63 years, male, NA, stage:3, alive, 1110 days
1533.3
DO45139
63 years, male, NA, stage:3, alive, 1320 days
1526.8
DO45173
63 years, male, NA, stage:3, alive, 1170 days
1514.2
DO45297
61 years, female, NA, stage:4, dead, 1260 days
1501.2
DO45281
83 years, male, NA, stage:4, alive, 750 days
1479.8
DO48737
52 years, male, NA, stage:1, alive, 720 days
1474.5
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1470.1
DO48757
68 years, female, NA, stage:3, alive, 480 days
1457.6
DO45217
69 years, female, NA, stage:3, dead, 270 days
1430.1
DO45175
74 years, male, NA, stage:2, alive, 1140 days
1429.1
DO23516
69 years, male, NA, stage:3, dead, 20 days
1425.3
DO45249
57 years, male, NA, stage:1, alive, 630 days
1421.1
DO23526
66 years, male, NA, stage:3, alive, 1050 days
1410.1
DO45213
58 years, male, NA, stage:1, alive, 1200 days
1404.2
DO23508
79 years, female, NA, stage:2, alive, 390 days
1386.7
DO48720
62 years, female, NA, stage:2, alive, 570 days
1383.0
DO45097
69 years, male, NA, stage:3, alive, 1620 days
1380.7
DO45221
75 years, female, NA, stage:4, dead, 390 days
1353.8
DO45253
50 years, male, NA, stage:2, alive, 870 days
1332.1
DO45277
64 years, male, NA, stage:3, alive, 600 days
1328.9
DO48736
76 years, female, NA, stage:1, alive, 600 days
1326.6
DO23528
45 years, female, NA, stage:2, alive, 1020 days
1318.4
DO45191
61 years, female, NA, stage:2, alive, 1200 days
1313.7
DO48681
57 years, male, NA, stage:2, alive, 900 days
1313.6
DO50855
47 years, male, NA, stage:2, alive, 570 days
1299.5
DO45187
32 years, female, NA, stage:1, alive, 1260 days
1292.0
DO50820
77 years, female, NA, stage:3, alive, 510 days
1284.0
DO48759
73 years, male, NA, stage:3, alive, 720 days
1275.0
DO45165
75 years, male, NA, stage:2, alive, 690 days
1274.6
DO45163
76 years, male, NA, stage:2, alive, 960 days
1268.9
DO48672
81 years, male, NA, stage:2, alive, 450 days
1264.3
DO45301
56 years, male, NA, stage:2, dead, 1440 days
1253.6
DO48712
50 years, male, NA, stage:2, alive, 810 days
1230.8
DO50809
56 years, male, NA, stage:3, dead, 720 days
1227.5
DO48728
74 years, female, NA, stage:2, alive, 150 days
1225.6
DO45273
62 years, male, NA, stage:2, alive, 480 days
1223.3
DO23523
52 years, male, NA, stage:3, alive, 1080 days
1217.6
DO45275
65 years, male, NA, stage:3, dead, 10 days
1210.9
DO50815
62 years, male, NA, stage:3, alive, 150 days
1204.6
DO48751
68 years, male, NA, stage:2, dead, 480 days
1197.3
DO48732
73 years, male, NA, stage:3, alive, 630 days
1195.7
DO45145
78 years, male, NA, stage:3, dead, 60 days
1180.5
DO50825
70 years, male, NA, stage:2, alive, 390 days
1175.1
DO50859
77 years, male, NA, stage:2, alive, 180 days
1173.0
DO23536
56 years, male, NA, stage:2, alive, 930 days
1172.3
DO45199
86 years, female, NA, stage:2, alive, 1350 days
1138.8
DO45135
77 years, male, NA, stage:1, alive, 1410 days
1136.2
DO45209
70 years, male, NA, stage:4, alive, 1350 days
1111.1
DO48727
81 years, female, NA, stage:2, dead, 390 days
1105.5
DO45227
57 years, female, NA, stage:2, alive, 1020 days
1103.0
DO23542
66 years, male, NA, stage:3, alive, 960 days
1097.5
DO23543
63 years, male, NA, stage:2, alive, 1020 days
1089.8
DO45141
73 years, male, NA, stage:2, alive, 1320 days
1089.0
DO45095
66 years, male, NA, stage:2, alive, 1620 days
1083.5
DO48746
76 years, male, NA, stage:3, alive, 570 days
1075.5
DO48706
72 years, male, NA, stage:2, alive, 870 days
1067.1
DO45247
31 years, female, NA, stage:2, alive, 210 days
1064.6
DO45117
73 years, female, NA, stage:2, dead, 1110 days
1062.2
DO50802
49 years, male, NA, stage:2, alive, 930 days
1060.8
DO23509
60 years, male, NA, stage:3, dead, 780 days
1059.5
DO45103
47 years, male, NA, stage:3, alive, 450 days
1040.8
DO50857
72 years, male, NA, stage:2, alive, 210 days
1039.5
DO45261
74 years, male, NA, stage:3, alive, 990 days
1039.5
DO50829
78 years, male, NA, stage:3, alive, 570 days
1032.8
DO45185
89 years, male, NA, stage:2, alive, 600 days
1022.2
DO45179
78 years, female, NA, stage:2, alive, 600 days
1005.9
DO23533
61 years, male, NA, stage:2, alive, 900 days
994.5
DO48704
68 years, female, NA, stage:3, alive, 750 days
982.9
DO45157
62 years, male, NA, stage:2, alive, 1980 days
969.6
DO50800
74 years, male, NA, stage:2, alive, 510 days
954.2
DO50783
62 years, male, NA, stage:3, alive, 480 days
935.9
DO45229
74 years, male, NA, stage:1, alive, 990 days
929.8
DO48725
66 years, male, NA, stage:1, alive, 780 days
924.3
DO50822
66 years, male, NA, stage:2, alive, 510 days
918.1
DO50805
72 years, male, NA, stage:2, alive, 690 days
913.4
DO45225
69 years, male, NA, stage:1, alive, 1050 days
909.9
DO50798
77 years, male, NA, stage:3, dead, 30 days
898.4
DO45203
71 years, female, NA, stage:2, alive, 1170 days
888.7
DO50793
76 years, male, NA, stage:4, alive, 540 days
878.1
DO45121
61 years, male, NA, stage:3, alive, 1530 days
869.6
DO45119
74 years, male, NA, stage:3, dead, 510 days
867.1
DO48733
72 years, male, NA, stage:2, alive, 600 days
859.8
DO23514
64 years, male, NA, stage:2, alive, 1290 days
856.6
DO45113
58 years, male, NA, stage:3, alive, 1560 days
841.2
DO48721
58 years, female, NA, stage:1, alive, 900 days
837.1
DO45092
62 years, male, NA, stage:4, dead, 1200 days
827.6
DO50789
73 years, female, NA, stage:2, alive, 570 days
826.9
DO45257
46 years, male, NA, stage:3, alive, 810 days
826.7
DO50839
47 years, female, NA, stage:3, alive, 330 days
825.7
DO48677
58 years, male, NA, stage:3, alive, 1140 days
822.8
DO50811
62 years, male, NA, stage:1, alive, 450 days
813.0
DO45123
78 years, female, NA, stage:2, dead, 570 days
806.0
DO48695
77 years, male, NA, stage:2, alive, 720 days
800.3
DO45181
84 years, female, NA, stage:2, alive, 1200 days
800.3
DO45155
69 years, male, NA, stage:2, alive, 2160 days
796.4
DO23549
74 years, male, NA, stage:3, alive, 990 days
789.4
DO48700
78 years, female, NA, stage:2, alive, 810 days
784.2
DO45233
83 years, male, NA, stage:3, alive, 900 days
779.5
DO23529
72 years, male, NA, stage:4, alive, 930 days
778.4
DO45223
67 years, male, NA, stage:4, alive, 1020 days
776.1
DO50819
72 years, female, NA, stage:2, alive, 510 days
766.0
DO45171
56 years, male, NA, stage:3, alive, 600 days
760.2
DO50844
75 years, male, NA, stage:4, alive, 300 days
754.8
DO45237
58 years, male, NA, stage:2, alive, 900 days
752.8
DO45143
69 years, male, NA, stage:3, alive, 1290 days
752.7
DO45235
68 years, female, NA, stage:1, alive, 900 days
751.4
DO45207
68 years, male, NA, stage:1, alive, 1050 days
749.5
DO50776
75 years, male, NA, stage:1, alive, 690 days
745.6
DO48717
54 years, male, NA, stage:4, dead, 180 days
742.2
DO45131
53 years, male, NA, stage:4, dead, 360 days
738.6
DO45133
64 years, male, NA, stage:3, dead, 660 days
728.7
DO45201
49 years, male, NA, stage:1, alive, 900 days
724.8
DO50832
73 years, male, NA, stage:3, alive, 90 days
712.7
DO50807
67 years, male, NA, stage:1, alive, 540 days
709.9
DO45177
81 years, female, NA, stage:3, alive, 1260 days
704.2
DO45091
56 years, male, NA, stage:2, dead, 1320 days
697.6
DO50787
63 years, male, NA, stage:3, alive, 480 days
693.9
DO48743
69 years, female, NA, stage:2, alive, 570 days
690.2
DO48679
72 years, male, NA, stage:2, alive, 1200 days
686.6
DO50804
81 years, male, NA, stage:2, alive, 720 days
681.6
DO45109
63 years, male, NA, stage:2, alive, 1590 days
680.9
DO45243
74 years, female, NA, stage:3, alive, 930 days
677.2
DO48719
80 years, male, NA, stage:2, alive, 690 days
668.4
DO45153
77 years, female, NA, stage:2, alive, 1380 days
665.1
DO48761
55 years, male, NA, stage:2, alive, 870 days
661.7
DO23547
74 years, male, NA, stage:1, alive, 1020 days
661.6
DO23510
80 years, female, NA, stage:2, alive, 870 days
655.1
DO50850
74 years, male, NA, stage:3, alive, 720 days
654.5
DO23552
80 years, female, NA, stage:1, alive, 810 days
651.6
DO23524
71 years, female, NA, stage:2, alive, 1050 days
651.6
DO48723
73 years, male, NA, stage:1, alive, 600 days
649.3
DO45169
74 years, male, NA, stage:3, alive, 1350 days
646.0
DO227643
79 years, male, NA, stage:2, alive, 1260 days
645.5
DO50818
65 years, male, NA, stage:2, alive, 510 days
644.8
DO23531
78 years, female, NA, stage:3, alive, 900 days
644.2
DO23541
65 years, male, NA, stage:2, alive, 930 days
643.8
DO23511
83 years, female, NA, stage:3, dead, 180 days
630.6
DO50813
56 years, male, NA, stage:2, alive, 420 days
625.0
DO45159
65 years, male, NA, stage:3, alive, 1470 days
624.5
DO45115
81 years, male, NA, stage:2, alive, 840 days
622.1
DO45267
73 years, male, NA, stage:3, dead, 570 days
621.0
DO23513
76 years, male, NA, stage:3, alive, 1200 days
611.4
DO227801
77 years, female, NA, stage:1, alive, 660 days
603.0
DO23540
73 years, male, NA, stage:1, alive, 750 days
602.5
DO45197
51 years, male, NA, stage:2, alive, 1170 days
568.2
DO23535
67 years, male, NA, stage:1, alive, 960 days
566.1
DO45149
70 years, female, NA, stage:2, alive, 1260 days
565.2
DO50774
68 years, female, NA, stage:2, alive, 720 days
556.7
DO50803
62 years, female, NA, stage:1, alive, 540 days
553.3
DO45263
67 years, male, NA, stage:3, dead, 270 days
546.3
DO23538
67 years, male, NA, stage:2, alive, 450 days
541.2
DO48674
80 years, male, NA, stage:2, alive, 1260 days
532.3
DO45137
38 years, male, NA, stage:1, alive, 1320 days
523.8
DO23527
72 years, male, NA, stage:1, alive, 1050 days
520.6
DO45255
81 years, male, NA, stage:3, alive, 720 days
518.0
DO48716
71 years, male, NA, stage:2, alive, 720 days
514.0
DO23550
69 years, male, NA, stage:1, alive, 990 days
499.9
DO23546
63 years, male, NA, stage:2, alive, 1050 days
498.9
DO23548
78 years, female, NA, stage:1, alive, 840 days
498.8
DO23551
73 years, male, NA, stage:3, dead, 150 days
488.8
DO48693
71 years, male, NA, stage:2, alive, 900 days
487.4
DO23518
67 years, male, NA, stage:2, alive, 1320 days
483.8
DO48742
76 years, male, NA, stage:2, alive, 600 days
460.7
DO45094
76 years, male, NA, stage:3, alive, 1650 days
460.5
DO23512
60 years, male, NA, stage:1, alive, 1260 days
457.6
DO50808
68 years, male, NA, stage:2, alive, 570 days
456.1
DO45096
69 years, male, NA, stage:2, dead, 1290 days
451.7
DO48760
70 years, female, NA, stage:2, alive, 690 days
446.0
DO48701
78 years, male, NA, stage:2, alive, 780 days
442.6
DO23517
62 years, male, NA, stage:2, alive, 1200 days
439.8
DO50845
72 years, male, NA, stage:3, alive, 210 days
437.6
DO45099
46 years, male, NA, stage:3, alive, 1590 days
429.9
DO45125
58 years, male, NA, stage:3, alive, 1680 days
422.2
DO45111
74 years, male, NA, stage:2, alive, 1590 days
404.0
DO45215
65 years, male, NA, stage:2, alive, 1170 days
398.0
DO23544
67 years, male, NA, stage:2, alive, 960 days
391.6
DO23539
77 years, male, NA, stage:1, alive, 1110 days
375.9
DO50817
75 years, male, NA, stage:2, alive, 390 days
358.9
DO50816
63 years, male, NA, stage:2, alive, 390 days
355.4
DO23534
60 years, male, NA, stage:2, alive, 840 days
354.2
DO50840
49 years, male, NA, stage:2, alive, 330 days
342.5
DO45241
49 years, male, NA, stage:1, alive, 1080 days
330.7
DO45195
62 years, male, NA, stage:1, alive, 390 days
322.2
DO45129
61 years, male, NA, stage:3, alive, 1470 days
291.3
DO23532
71 years, female, NA, stage:1, alive, 960 days
220.4
DO45101
63 years, male, NA, stage:2, alive, 1680 days
203.4
DO45105
61 years, male, NA, stage:1, alive, 1680 days
202.4
DO45167
67 years, male, NA, stage:2, dead, 1440 days
172.5
DO45107
63 years, female, NA, stage:2, alive, 1710 days
115.7
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LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
557
Tumor
0.7
537
Tumor
0.6
1021
Tumor
0.5
685
Tumor
0.5
327
Tumor
0.5
285
Tumor
0.5
951
Tumor
0.4
937
Tumor
0.4
965
Tumor
0.4
983
Tumor
0.4
955
Tumor
0.4
545
Tumor
0.4
1014
Normal
0.4
944
Normal
0.4
514
Normal
0.4
1025
Tumor
0.4
523
Tumor
0.4
497
Tumor
0.4
227
Tumor
0.3
957
Tumor
0.3
481
Tumor
0.3
851
Tumor
0.3
223
Tumor
0.3
922
Normal
0.3
131
Tumor
0.3
661
Tumor
0.3
865
Tumor
0.3
533
Tumor
0.3
1031
Tumor
0.3
978
Normal
0.3
721
Tumor
0.3
916
Normal
0.3
958
Normal
0.3
912
Normal
0.3
984
Normal
0.3
852
Normal
0.3
923
Tumor
0.3
918
Normal
0.3
567
Tumor
0.3
473
Tumor
0.3
964
Normal
0.3
113
Tumor
0.3
926
Normal
0.3
1032
Normal
0.3
494
Normal
0.3
981
Tumor
0.3
1044
Normal
0.3
1027
Tumor
0.3
636
Normal
0.3
535
Tumor
0.3
817
Tumor
0.3
524
Normal
0.3
938
Normal
0.3
1022
Normal
0.3
864
Normal
0.3
968
Normal
0.3
484
Normal
0.3
617
Tumor
0.2
696
Normal
0.2
412
Normal
0.2
966
Normal
0.2
724
Normal
0.2
527
Tumor
0.2
777
Tumor
0.2
355
Tumor
0.2
513
Tumor
0.2
824
Normal
0.2
448
Normal
0.2
536
Normal
0.2
525
Tumor
0.2
367
Tumor
0.2
815
Tumor
0.2
528
Normal
0.2
723
Tumor
0.2
953
Tumor
0.2
553
Tumor
0.2
756
Normal
0.2
1042
Normal
0.2
952
Normal
0.2
727
Tumor
0.2
516
Normal
0.2
743
Tumor
0.2
135
Tumor
0.2
286
Normal
0.2
518
Normal
0.2
1046
Normal
0.2
517
Tumor
0.2
353
Tumor
0.2
488
Normal
0.2
212
Normal
0.2
467
Tumor
0.2
515
Tumor
0.2
697
Tumor
0.2
698
Normal
0.2
526
Normal
0.2
745
Tumor
0.2
728
Normal
0.2
1026
Normal
0.2
967
Tumor
0.2
558
Normal
0.2
785
Tumor
0.2
492
Normal
0.2
554
Normal
0.2
861
Tumor
0.2
862
Normal
0.2
471
Tumor
0.2
546
Normal
0.2
686
Normal
0.2
493
Tumor
0.2
534
Normal
0.2
778
Normal
0.2
356
Normal
0.2
924
Normal
0.2
1043
Tumor
0.2
628
Normal
0.2
738
Normal
0.2
572
Normal
0.2
982
Normal
0.2
866
Normal
0.2
1013
Tumor
0.2
284
Normal
0.2
413
Tumor
0.2
818
Normal
0.2
921
Tumor
0.2
858
Normal
0.2
395
Tumor
0.1
954
Normal
0.1
715
Tumor
0.1
963
Tumor
0.1
195
Tumor
0.1
873
Tumor
0.1
573
Tumor
0.1
363
Tumor
0.1
755
Tumor
0.1
956
Normal
0.1
466
Normal
0.1
823
Tumor
0.1
221
Tumor
0.1
737
Tumor
0.1
228
Normal
0.1
716
Normal
0.1
462
Normal
0.1
483
Tumor
0.1
913
Tumor
0.1
884
Normal
0.1
211
Tumor
0.1
393
Tumor
0.1
415
Tumor
0.1
915
Tumor
0.1
976
Normal
0.1
1016
Normal
0.1
882
Normal
0.1
714
Normal
0.1
1041
Tumor
0.1
474
Normal
0.1
648
Normal
0.1
943
Tumor
0.1
1028
Normal
0.1
746
Normal
0.1
364
Normal
0.1
786
Normal
0.1
925
Tumor
0.1
616
Normal
0.1
443
Tumor
0.1
917
Tumor
0.1
857
Tumor
0.1
695
Tumor
0.1
472
Normal
0.1
478
Normal
0.1
564
Normal
0.1
878
Normal
0.1
1015
Tumor
0.1
267
Tumor
0.1
331
Tumor
0.1
416
Normal
0.1
568
Normal
0.1
214
Normal
0.1
571
Tumor
0.1
421
Tumor
0.1
722
Normal
0.1
328
Normal
0.1
414
Normal
0.1
713
Tumor
0.1
975
Tumor
0.1
742
Normal
0.1
376
Normal
0.0
647
Tumor
0.0
477
Tumor
0.0
664
Normal
0.0
142
Normal
0.0
662
Normal
0.0
431
Tumor
0.0
111
Normal
0.0
187
Tumor
0.0
868
Normal
0.0
411
Tumor
0.0
422
Normal
0.0
257
Tumor
0.0
433
Tumor
0.0
447
Tumor
0.0
816
Normal
0.0
618
Normal
0.0
191
Tumor
0.0
482
Normal
0.0
977
Tumor
0.0
881
Tumor
0.0
665
Tumor
0.0
385
Tumor
0.0
436
Normal
0.0
468
Normal
0.0
213
Tumor
0.0
432
Normal
0.0
145
Tumor
0.0
538
Normal
0.0
387
Tumor
0.0
224
Normal
0.0
128
Normal
0.0
487
Tumor
0.0
392
Normal
0.0
671
Tumor
0.0
352
Normal
0.0
867
Tumor
0.0
883
Tumor
0.0
663
Tumor
0.0
358
Normal
0.0
427
Tumor
0.0
114
Normal
0.0
563
Tumor
0.0
261
Tumor
0.0
351
Tumor
0.0
136
Normal
0.0
362
Normal
0.0
298
Normal
0.0
455
Tumor
0.0
425
Tumor
0.0
137
Tumor
0.0
232
Normal
-0.1
874
Normal
-0.1
498
Normal
-0.1
375
Tumor
-0.1
424
Normal
-0.1
132
Normal
-0.1
196
Normal
-0.1
172
Normal
-0.1
672
Normal
-0.1
314
Normal
-0.1
218
Normal
-0.1
814
Normal
-0.1
642
Normal
-0.1
451
Tumor
-0.1
384
Normal
-0.1
123
Tumor
-0.1
354
Normal
-0.1
426
Normal
-0.1
911
Tumor
-0.1
863
Tumor
-0.1
452
Normal
-0.1
271
Tumor
-0.1
464
Normal
-0.1
126
Normal
-0.1
461
Tumor
-0.1
368
Normal
-0.1
124
Normal
-0.1
666
Normal
-0.1
127
Tumor
-0.1
277
Tumor
-0.1
615
Tumor
-0.1
278
Normal
-0.1
147
Tumor
-0.1
312
Normal
-0.1
434
Normal
-0.1
148
Normal
-0.1
914
Normal
-0.1
342
Normal
-0.1
222
Normal
-0.1
813
Tumor
-0.1
332
Normal
-0.1
428
Normal
-0.1
341
Tumor
-0.1
262
Normal
-0.1
641
Tumor
-0.1
162
Normal
-0.1
1045
Tumor
-0.2
423
Tumor
-0.2
138
Normal
-0.2
217
Tumor
-0.2
574
Normal
-0.2
272
Normal
-0.2
435
Tumor
-0.2
141
Tumor
-0.2
186
Normal
-0.2
185
Tumor
-0.2
112
Tumor
-0.2
446
Normal
-0.2
744
Normal
-0.2
171
Tumor
-0.2
297
Tumor
-0.2
146
Normal
-0.2
344
Normal
-0.2
465
Tumor
-0.2
444
Normal
-0.2
445
Tumor
-0.2
394
Normal
-0.2
231
Tumor
-0.2
456
Normal
-0.2
311
Tumor
-0.2
361
Tumor
-0.2
463
Tumor
-0.2
365
Tumor
-0.2
188
Normal
-0.2
258
Normal
-0.2
161
Tumor
-0.2
357
Tumor
-0.2
877
Tumor
-0.2
268
Normal
-0.2
283
Tumor
-0.3
388
Normal
-0.3
396
Normal
-0.3
635
Tumor
-0.3
366
Normal
-0.3
383
Tumor
-0.3
386
Normal
-0.3
491
Tumor
-0.3
343
Tumor
-0.3
125
Tumor
-0.3
192
Normal
-0.3
741
Tumor
-0.4
391
Tumor
-0.4
313
Tumor
-0.4
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.