We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
RPL9 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
607.6
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
8346.7
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
5136.7
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
5043.1
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
3467.0
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
3280.3
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
3264.0
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
3010.4
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
2969.5
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
2699.4
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
2592.8
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
2496.2
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
2493.5
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
2429.0
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
2268.2
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
2205.6
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
2138.6
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
1936.3
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
1868.9
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
1864.7
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
1857.7
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
1841.6
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
1813.8
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
1724.3
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
1702.8
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
1678.4
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
1674.8
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
1673.6
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
1651.3
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
1632.9
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
1610.2
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
1579.5
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
1574.4
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1522.4
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
1514.4
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1508.9
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
1432.0
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
1408.1
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
1373.8
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
1364.8
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
1346.5
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
1340.0
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
1336.7
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
1310.3
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
1296.1
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
1286.4
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
1277.8
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
1261.1
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
1241.3
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
1233.0
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
1231.3
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
1219.7
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
1195.4
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
1167.9
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
1163.1
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
1157.3
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
1157.2
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
1156.1
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
1146.6
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
1146.3
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
1145.7
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
1143.7
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
1135.1
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
1131.2
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
1121.8
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
1112.4
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
1110.0
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
1104.3
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
1101.8
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
1095.2
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
1093.5
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
1084.4
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1058.4
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
1049.6
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
1045.8
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
1035.5
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
1032.5
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
1003.5
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
986.1
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
948.6
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
948.4
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
947.7
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
944.4
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
936.2
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
934.3
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
929.9
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
924.6
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
924.2
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
919.0
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
911.9
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
903.6
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
892.3
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
891.6
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
882.5
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
850.3
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
847.7
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
841.9
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
828.3
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
813.6
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
809.2
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
806.2
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
793.8
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
791.7
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
781.4
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
777.9
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
777.6
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
775.2
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
770.2
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
765.4
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
763.3
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
763.2
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
763.1
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
751.3
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
740.2
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
721.7
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
715.1
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
715.1
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
706.7
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
700.1
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
689.7
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
669.2
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
657.9
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
646.6
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
646.0
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
637.8
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
629.2
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
623.9
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
611.2
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
609.1
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
606.3
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
603.4
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
601.8
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
596.0
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
579.3
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
578.0
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
576.1
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
574.8
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
573.9
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
573.2
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
572.8
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
565.9
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
565.2
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
557.8
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
552.0
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
550.9
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
545.4
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
543.2
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
540.6
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
536.4
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
533.4
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
531.0
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
529.8
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
528.1
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
515.6
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
511.4
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
509.5
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
502.0
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
500.2
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
498.8
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
496.1
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
495.0
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
492.8
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
487.2
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
486.4
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
478.9
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
476.5
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
471.1
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
469.1
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
468.5
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
459.9
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
452.5
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
439.8
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
438.7
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
437.9
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
437.3
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
431.5
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
413.9
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
413.6
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
405.3
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
397.0
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
396.2
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
391.4
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
388.7
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
383.2
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
378.8
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
376.6
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
371.8
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
366.2
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
365.5
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
364.4
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
363.0
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
359.2
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
355.6
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
353.3
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
340.4
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
327.6
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
327.1
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
324.2
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
302.6
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
297.5
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
250.9
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
238.6
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
208.0
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
202.6
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
178.7
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
172.4
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
164.1
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
156.2
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
155.1
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
134.1
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
132.5
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
129.7
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
127.5
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
122.3
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
120.1
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
117.0
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
114.8
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
109.5
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
102.6
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
101.7
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
99.5
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
98.2
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
97.5
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
91.9
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
91.3
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
89.0
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
86.7
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
86.0
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
85.9
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
85.9
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
84.3
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
84.1
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
82.9
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
81.9
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
80.6
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
80.0
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
79.7
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
78.4
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
76.1
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
75.7
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
72.9
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
72.8
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
72.8
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
72.6
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
72.5
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
70.8
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
69.5
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
69.2
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
68.6
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
67.8
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
67.2
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
67.1
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
66.1
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
65.7
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
65.1
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
64.4
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
63.3
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
62.5
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
62.2
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
62.2
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
62.1
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
61.9
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
61.7
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
60.7
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
60.5
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
59.8
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
59.5
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
58.5
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
58.4
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
56.9
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
56.5
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
56.0
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
55.2
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
55.1
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
54.9
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
53.6
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
51.5
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
51.4
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
51.4
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
51.4
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
51.2
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
50.9
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
49.8
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
49.3
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
48.8
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
48.5
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
48.3
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
47.9
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
47.2
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
46.5
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
45.5
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
45.5
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
45.4
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
45.4
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
45.2
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
45.1
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
45.1
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
45.0
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
44.7
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
44.0
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
43.5
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
42.9
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
42.8
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
42.2
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
41.3
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
40.7
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
40.4
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
40.4
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
40.4
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
40.0
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
39.7
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
38.8
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
38.6
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
38.4
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
38.3
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
37.6
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
37.4
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
36.8
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
36.1
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
35.9
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
35.7
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
35.6
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
35.5
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
34.9
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
34.4
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
34.2
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
34.1
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
34.0
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
34.0
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
33.9
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
32.5
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
32.3
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
31.9
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
31.8
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
31.7
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
30.8
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
30.6
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
30.4
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
28.8
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
28.3
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
28.3
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
27.9
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
27.3
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
26.9
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
26.7
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
26.2
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
26.0
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
25.5
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
25.3
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
25.2
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
25.1
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
24.9
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
24.6
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
24.5
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
24.2
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
23.5
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
22.6
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
22.6
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
21.8
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
19.9
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
18.8
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
17.1
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 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.
RPL9 is not prognostic in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
891.3
Number of samples
231
Samples
Sample
Description
pTPM
DO45213
58 years, male, NA, stage:1, alive, 1200 days
7434.4
DO45239
42 years, male, NA, stage:2, alive, 870 days
7035.7
DO45189
85 years, female, NA, stage:2, alive, 1200 days
4537.3
DO45145
78 years, male, NA, stage:3, dead, 60 days
3769.0
DO45265
73 years, male, NA, stage:3, alive, 1020 days
3672.2
DO48720
62 years, female, NA, stage:2, alive, 570 days
3633.4
DO45279
67 years, male, NA, stage:3, alive, 1290 days
3328.0
DO45259
65 years, male, NA, stage:3, alive, 330 days
3323.9
DO45183
72 years, female, NA, stage:2, dead, 570 days
3241.1
DO45283
60 years, male, NA, stage:3, alive, 510 days
3182.7
DO45217
69 years, female, NA, stage:3, dead, 270 days
3051.3
DO45097
69 years, male, NA, stage:3, alive, 1620 days
2850.1
DO45127
73 years, male, NA, stage:3, dead, 420 days
2704.4
DO45247
31 years, female, NA, stage:2, alive, 210 days
2615.4
DO45173
63 years, male, NA, stage:3, alive, 1170 days
2540.9
DO45221
75 years, female, NA, stage:4, dead, 390 days
2518.2
DO23525
71 years, male, NA, stage:4, alive, 1050 days
2490.4
DO45277
64 years, male, NA, stage:3, alive, 600 days
2488.9
DO45103
47 years, male, NA, stage:3, alive, 450 days
2473.0
DO45119
74 years, male, NA, stage:3, dead, 510 days
2465.6
DO48706
72 years, male, NA, stage:2, alive, 870 days
2425.7
DO48728
74 years, female, NA, stage:2, alive, 150 days
2406.8
DO45269
59 years, male, NA, stage:3, alive, 750 days
2334.4
DO45203
71 years, female, NA, stage:2, alive, 1170 days
2320.5
DO45093
71 years, male, NA, stage:2, dead, 720 days
2315.7
DO45253
50 years, male, NA, stage:2, alive, 870 days
2290.5
DO48697
64 years, female, NA, stage:2, dead, 810 days
2285.7
DO23508
79 years, female, NA, stage:2, alive, 390 days
2225.9
DO45281
83 years, male, NA, stage:4, alive, 750 days
2162.9
DO45161
74 years, male, NA, stage:2, dead, 540 days
2159.5
DO48751
68 years, male, NA, stage:2, dead, 480 days
2102.7
DO45191
61 years, female, NA, stage:2, alive, 1200 days
2058.1
DO45092
62 years, male, NA, stage:4, dead, 1200 days
2046.6
DO50778
60 years, male, NA, stage:4, alive, 630 days
2040.7
DO48730
73 years, female, NA, stage:2, alive, 630 days
2029.6
DO45141
73 years, male, NA, stage:2, alive, 1320 days
2007.6
DO48725
66 years, male, NA, stage:1, alive, 780 days
1983.7
DO45091
56 years, male, NA, stage:2, dead, 1320 days
1978.4
DO48672
81 years, male, NA, stage:2, alive, 450 days
1972.7
DO45165
75 years, male, NA, stage:2, alive, 690 days
1820.4
DO45143
69 years, male, NA, stage:3, alive, 1290 days
1787.7
DO45231
84 years, male, NA, stage:2, alive, 930 days
1780.6
DO45175
74 years, male, NA, stage:2, alive, 1140 days
1755.1
DO50793
76 years, male, NA, stage:4, alive, 540 days
1732.4
DO23524
71 years, female, NA, stage:2, alive, 1050 days
1726.6
DO23510
80 years, female, NA, stage:2, alive, 870 days
1704.2
DO45219
78 years, male, NA, stage:2, alive, 1080 days
1648.1
DO45275
65 years, male, NA, stage:3, dead, 10 days
1618.4
DO45243
74 years, female, NA, stage:3, alive, 930 days
1584.9
DO23542
66 years, male, NA, stage:3, alive, 960 days
1568.1
DO45227
57 years, female, NA, stage:2, alive, 1020 days
1567.2
DO23514
64 years, male, NA, stage:2, alive, 1290 days
1552.4
DO48719
80 years, male, NA, stage:2, alive, 690 days
1460.7
DO45179
78 years, female, NA, stage:2, alive, 600 days
1453.2
DO48677
58 years, male, NA, stage:3, alive, 1140 days
1401.9
DO45223
67 years, male, NA, stage:4, alive, 1020 days
1400.4
DO48733
72 years, male, NA, stage:2, alive, 600 days
1400.0
DO23548
78 years, female, NA, stage:1, alive, 840 days
1385.9
DO45177
81 years, female, NA, stage:3, alive, 1260 days
1381.8
DO45163
76 years, male, NA, stage:2, alive, 960 days
1378.5
DO45263
67 years, male, NA, stage:3, dead, 270 days
1371.8
DO45113
58 years, male, NA, stage:3, alive, 1560 days
1356.7
DO45193
68 years, female, NA, stage:4, dead, 120 days
1351.5
DO227643
79 years, male, NA, stage:2, alive, 1260 days
1349.3
DO45181
84 years, female, NA, stage:2, alive, 1200 days
1321.0
DO45171
56 years, male, NA, stage:3, alive, 600 days
1299.3
DO23536
56 years, male, NA, stage:2, alive, 930 days
1286.3
DO45137
38 years, male, NA, stage:1, alive, 1320 days
1283.7
DO48746
76 years, male, NA, stage:3, alive, 570 days
1277.8
DO23541
65 years, male, NA, stage:2, alive, 930 days
1269.5
DO45245
75 years, female, NA, stage:2, dead, 240 days
1258.9
DO23535
67 years, male, NA, stage:1, alive, 960 days
1236.2
DO23543
63 years, male, NA, stage:2, alive, 1020 days
1214.2
DO45169
74 years, male, NA, stage:3, alive, 1350 days
1206.0
DO45125
58 years, male, NA, stage:3, alive, 1680 days
1196.6
DO23552
80 years, female, NA, stage:1, alive, 810 days
1184.7
DO23538
67 years, male, NA, stage:2, alive, 450 days
1158.9
DO45153
77 years, female, NA, stage:2, alive, 1380 days
1147.7
DO45123
78 years, female, NA, stage:2, dead, 570 days
1115.3
DO45117
73 years, female, NA, stage:2, dead, 1110 days
1086.8
DO23512
60 years, male, NA, stage:1, alive, 1260 days
1081.0
DO23513
76 years, male, NA, stage:3, alive, 1200 days
1079.9
DO23511
83 years, female, NA, stage:3, dead, 180 days
1044.3
DO23517
62 years, male, NA, stage:2, alive, 1200 days
1043.8
DO45159
65 years, male, NA, stage:3, alive, 1470 days
1018.7
DO45115
81 years, male, NA, stage:2, alive, 840 days
1015.6
DO23509
60 years, male, NA, stage:3, dead, 780 days
995.6
DO48704
68 years, female, NA, stage:3, alive, 750 days
993.6
DO45131
53 years, male, NA, stage:4, dead, 360 days
985.5
DO45101
63 years, male, NA, stage:2, alive, 1680 days
965.9
DO45225
69 years, male, NA, stage:1, alive, 1050 days
961.0
DO23529
72 years, male, NA, stage:4, alive, 930 days
953.0
DO23531
78 years, female, NA, stage:3, alive, 900 days
951.4
DO48679
72 years, male, NA, stage:2, alive, 1200 days
940.4
DO45096
69 years, male, NA, stage:2, dead, 1290 days
938.8
DO48701
78 years, male, NA, stage:2, alive, 780 days
864.4
DO45155
69 years, male, NA, stage:2, alive, 2160 days
849.4
DO45099
46 years, male, NA, stage:3, alive, 1590 days
847.5
DO45237
58 years, male, NA, stage:2, alive, 900 days
846.8
DO23551
73 years, male, NA, stage:3, dead, 150 days
824.1
DO23527
72 years, male, NA, stage:1, alive, 1050 days
817.3
DO45197
51 years, male, NA, stage:2, alive, 1170 days
814.3
DO23534
60 years, male, NA, stage:2, alive, 840 days
787.5
DO23518
67 years, male, NA, stage:2, alive, 1320 days
778.1
DO45094
76 years, male, NA, stage:3, alive, 1650 days
764.9
DO45133
64 years, male, NA, stage:3, dead, 660 days
761.8
DO45111
74 years, male, NA, stage:2, alive, 1590 days
760.5
DO45167
67 years, male, NA, stage:2, dead, 1440 days
681.2
DO23532
71 years, female, NA, stage:1, alive, 960 days
680.1
DO23550
69 years, male, NA, stage:1, alive, 990 days
657.7
DO45305
66 years, male, NA, stage:4, alive, 300 days
629.5
DO48721
58 years, female, NA, stage:1, alive, 900 days
530.0
DO45209
70 years, male, NA, stage:4, alive, 1350 days
529.8
DO23515
71 years, male, NA, stage:2, alive, 1230 days
438.4
DO45129
61 years, male, NA, stage:3, alive, 1470 days
387.6
DO45107
63 years, female, NA, stage:2, alive, 1710 days
326.2
DO48681
57 years, male, NA, stage:2, alive, 900 days
325.1
DO50806
70 years, male, NA, stage:4, alive, 540 days
302.6
DO23519
65 years, male, NA, stage:3, alive, 630 days
297.6
DO50814
83 years, male, NA, stage:3, alive, 420 days
290.5
DO45249
57 years, male, NA, stage:1, alive, 630 days
279.7
DO45307
54 years, female, NA, stage:4, dead, 240 days
273.5
DO45257
46 years, male, NA, stage:3, alive, 810 days
238.7
DO45299
70 years, female, NA, stage:1, alive, 1440 days
236.2
DO48715
58 years, female, NA, stage:2, dead, 690 days
233.2
DO45297
61 years, female, NA, stage:4, dead, 1260 days
229.6
DO50783
62 years, male, NA, stage:3, alive, 480 days
191.1
DO45135
77 years, male, NA, stage:1, alive, 1410 days
190.4
DO23545
67 years, male, NA, stage:2, dead, 570 days
178.6
DO50774
68 years, female, NA, stage:2, alive, 720 days
173.7
DO45301
56 years, male, NA, stage:2, dead, 1440 days
166.8
DO45229
74 years, male, NA, stage:1, alive, 990 days
162.1
DO45207
68 years, male, NA, stage:1, alive, 1050 days
154.4
DO50811
62 years, male, NA, stage:1, alive, 450 days
153.5
DO23521
63 years, male, NA, stage:3, alive, 1110 days
149.1
DO45185
89 years, male, NA, stage:2, alive, 600 days
133.8
DO23547
74 years, male, NA, stage:1, alive, 1020 days
128.2
DO50820
77 years, female, NA, stage:3, alive, 510 days
121.3
DO45261
74 years, male, NA, stage:3, alive, 990 days
121.2
DO48712
50 years, male, NA, stage:2, alive, 810 days
116.9
DO50829
78 years, male, NA, stage:3, alive, 570 days
112.9
DO50825
70 years, male, NA, stage:2, alive, 390 days
112.5
DO48727
81 years, female, NA, stage:2, dead, 390 days
109.1
DO50791
79 years, female, NA, stage:1, dead, 480 days
108.3
DO48700
78 years, female, NA, stage:2, alive, 810 days
107.0
DO45201
49 years, male, NA, stage:1, alive, 900 days
104.6
DO227801
77 years, female, NA, stage:1, alive, 660 days
101.2
DO48674
80 years, male, NA, stage:2, alive, 1260 days
93.8
DO45121
61 years, male, NA, stage:3, alive, 1530 days
91.5
DO50845
72 years, male, NA, stage:3, alive, 210 days
86.9
DO23544
67 years, male, NA, stage:2, alive, 960 days
86.7
DO48757
68 years, female, NA, stage:3, alive, 480 days
84.6
DO50817
75 years, male, NA, stage:2, alive, 390 days
84.2
DO50808
68 years, male, NA, stage:2, alive, 570 days
83.7
DO50857
72 years, male, NA, stage:2, alive, 210 days
81.2
DO48761
55 years, male, NA, stage:2, alive, 870 days
80.1
DO50850
74 years, male, NA, stage:3, alive, 720 days
71.5
DO50844
75 years, male, NA, stage:4, alive, 300 days
70.8
DO50803
62 years, female, NA, stage:1, alive, 540 days
64.0
DO45235
68 years, female, NA, stage:1, alive, 900 days
63.4
DO50832
73 years, male, NA, stage:3, alive, 90 days
56.1
DO48760
70 years, female, NA, stage:2, alive, 690 days
53.0
DO45105
61 years, male, NA, stage:1, alive, 1680 days
41.3
DO50815
62 years, male, NA, stage:3, alive, 150 days
36.1
DO45205
67 years, female, NA, stage:2, dead, 90 days
34.5
DO45285
59 years, male, NA, stage:3, alive, 480 days
29.2
DO45303
62 years, female, NA, stage:3, alive, 990 days
29.0
DO50785
37 years, male, NA, stage:4, dead, 90 days
28.4
DO45187
32 years, female, NA, stage:1, alive, 1260 days
25.1
DO45289
78 years, female, NA, stage:3, alive, 360 days
24.6
DO48682
72 years, female, NA, stage:3, dead, 120 days
23.5
DO48747
62 years, male, NA, stage:3, alive, 540 days
22.8
DO45287
74 years, male, NA, stage:1, alive, 390 days
21.4
DO45241
49 years, male, NA, stage:1, alive, 1080 days
21.2
DO45251
57 years, female, NA, stage:2, alive, 900 days
20.4
DO48737
52 years, male, NA, stage:1, alive, 720 days
20.4
DO45267
73 years, male, NA, stage:3, dead, 570 days
18.7
DO45149
70 years, female, NA, stage:2, alive, 1260 days
18.5
DO23546
63 years, male, NA, stage:2, alive, 1050 days
18.2
DO45211
76 years, male, NA, stage:3, alive, 240 days
17.9
DO23549
74 years, male, NA, stage:3, alive, 990 days
17.4
DO23523
52 years, male, NA, stage:3, alive, 1080 days
16.0
DO23530
53 years, male, NA, stage:4, dead, 180 days
15.5
DO50799
66 years, female, NA, stage:2, alive, 540 days
15.3
DO48736
76 years, female, NA, stage:1, alive, 600 days
15.1
DO23528
45 years, female, NA, stage:2, alive, 1020 days
14.8
DO45095
66 years, male, NA, stage:2, alive, 1620 days
14.2
DO50800
74 years, male, NA, stage:2, alive, 510 days
13.8
DO45139
63 years, male, NA, stage:3, alive, 1320 days
13.8
DO50855
47 years, male, NA, stage:2, alive, 570 days
13.5
DO23516
69 years, male, NA, stage:3, dead, 20 days
13.2
DO50789
73 years, female, NA, stage:2, alive, 570 days
13.2
DO50802
49 years, male, NA, stage:2, alive, 930 days
13.0
DO48717
54 years, male, NA, stage:4, dead, 180 days
12.9
DO23526
66 years, male, NA, stage:3, alive, 1050 days
12.7
DO50805
72 years, male, NA, stage:2, alive, 690 days
12.3
DO50839
47 years, female, NA, stage:3, alive, 330 days
12.3
DO23537
79 years, male, NA, stage:2, dead, 900 days
12.2
DO50816
63 years, male, NA, stage:2, alive, 390 days
12.0
DO48743
69 years, female, NA, stage:2, alive, 570 days
11.6
DO48723
73 years, male, NA, stage:1, alive, 600 days
11.5
DO50798
77 years, male, NA, stage:3, dead, 30 days
11.3
DO50859
77 years, male, NA, stage:2, alive, 180 days
11.3
DO48732
73 years, male, NA, stage:3, alive, 630 days
11.2
DO23533
61 years, male, NA, stage:2, alive, 900 days
11.1
DO50813
56 years, male, NA, stage:2, alive, 420 days
11.1
DO48741
64 years, male, NA, stage:3, alive, 240 days
10.9
DO50819
72 years, female, NA, stage:2, alive, 510 days
10.7
DO50822
66 years, male, NA, stage:2, alive, 510 days
10.6
DO45199
86 years, female, NA, stage:2, alive, 1350 days
10.6
DO45273
62 years, male, NA, stage:2, alive, 480 days
10.5
DO48716
71 years, male, NA, stage:2, alive, 720 days
10.1
DO45157
62 years, male, NA, stage:2, alive, 1980 days
10.1
DO50809
56 years, male, NA, stage:3, dead, 720 days
10.0
DO23539
77 years, male, NA, stage:1, alive, 1110 days
9.6
DO45195
62 years, male, NA, stage:1, alive, 390 days
9.6
DO45109
63 years, male, NA, stage:2, alive, 1590 days
9.5
DO48693
71 years, male, NA, stage:2, alive, 900 days
9.4
DO45215
65 years, male, NA, stage:2, alive, 1170 days
9.3
DO48759
73 years, male, NA, stage:3, alive, 720 days
8.9
DO50840
49 years, male, NA, stage:2, alive, 330 days
8.9
DO23540
73 years, male, NA, stage:1, alive, 750 days
8.8
DO50787
63 years, male, NA, stage:3, alive, 480 days
8.8
DO50804
81 years, male, NA, stage:2, alive, 720 days
8.0
DO45255
81 years, male, NA, stage:3, alive, 720 days
7.3
DO45233
83 years, male, NA, stage:3, alive, 900 days
6.9
DO50818
65 years, male, NA, stage:2, alive, 510 days
6.7
DO50807
67 years, male, NA, stage:1, alive, 540 days
6.4
DO48695
77 years, male, NA, stage:2, alive, 720 days
5.4
DO50776
75 years, male, NA, stage:1, alive, 690 days
5.3
DO48742
76 years, male, NA, stage:2, alive, 600 days
5.1
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
557
Tumor
0.6
285
Tumor
0.4
223
Tumor
0.4
685
Tumor
0.4
327
Tumor
0.3
131
Tumor
0.3
537
Tumor
0.3
743
Tumor
0.3
523
Tumor
0.3
113
Tumor
0.3
367
Tumor
0.2
567
Tumor
0.2
851
Tumor
0.2
467
Tumor
0.2
1021
Tumor
0.2
983
Tumor
0.2
227
Tumor
0.2
331
Tumor
0.2
661
Tumor
0.2
815
Tumor
0.2
497
Tumor
0.2
724
Normal
0.2
777
Tumor
0.2
937
Tumor
0.2
728
Normal
0.2
135
Tumor
0.2
128
Normal
0.2
356
Normal
0.2
713
Tumor
0.1
1027
Tumor
0.1
353
Tumor
0.1
865
Tumor
0.1
528
Normal
0.1
1026
Normal
0.1
737
Tumor
0.1
517
Tumor
0.1
955
Tumor
0.1
617
Tumor
0.1
481
Tumor
0.1
864
Normal
0.1
515
Tumor
0.1
778
Normal
0.1
214
Normal
0.1
738
Normal
0.1
412
Normal
0.1
421
Tumor
0.1
142
Normal
0.1
696
Normal
0.1
727
Tumor
0.1
284
Normal
0.1
742
Normal
0.1
228
Normal
0.1
413
Tumor
0.1
965
Tumor
0.1
1044
Normal
0.1
964
Normal
0.1
286
Normal
0.1
745
Tumor
0.1
462
Normal
0.1
136
Normal
0.1
514
Normal
0.1
715
Tumor
0.1
212
Normal
0.1
393
Tumor
0.1
636
Normal
0.1
852
Normal
0.1
525
Tumor
0.1
443
Tumor
0.1
1022
Normal
0.0
518
Normal
0.0
466
Normal
0.0
218
Normal
0.0
1014
Normal
0.0
671
Tumor
0.0
363
Tumor
0.0
824
Normal
0.0
923
Tumor
0.0
1015
Tumor
0.0
981
Tumor
0.0
422
Normal
0.0
535
Tumor
0.0
267
Tumor
0.0
1028
Normal
0.0
526
Normal
0.0
756
Normal
0.0
448
Normal
0.0
524
Normal
0.0
868
Normal
0.0
195
Tumor
0.0
686
Normal
0.0
573
Tumor
0.0
534
Normal
0.0
351
Tumor
0.0
984
Normal
0.0
755
Tumor
0.0
978
Normal
0.0
124
Normal
0.0
546
Normal
0.0
411
Tumor
0.0
455
Tumor
0.0
513
Tumor
0.0
387
Tumor
0.0
358
Normal
0.0
813
Tumor
0.0
494
Normal
0.0
493
Tumor
0.0
866
Normal
0.0
966
Normal
0.0
355
Tumor
0.0
474
Normal
0.0
785
Tumor
0.0
746
Normal
0.0
385
Tumor
0.0
723
Tumor
0.0
187
Tumor
0.0
698
Normal
0.0
145
Tumor
0.0
951
Tumor
0.0
447
Tumor
0.0
257
Tumor
0.0
114
Normal
0.0
877
Tumor
0.0
858
Normal
0.0
1016
Normal
0.0
967
Tumor
0.0
1025
Tumor
0.0
714
Normal
0.0
111
Normal
0.0
958
Normal
0.0
137
Tumor
0.0
278
Normal
0.0
126
Normal
0.0
232
Normal
0.0
1046
Normal
0.0
471
Tumor
0.0
913
Tumor
0.0
953
Tumor
0.0
786
Normal
0.0
451
Tumor
0.0
944
Normal
0.0
922
Normal
0.0
527
Tumor
0.0
558
Normal
0.0
862
Normal
0.0
452
Normal
0.0
545
Tumor
0.0
716
Normal
0.0
221
Tumor
0.0
224
Normal
0.0
867
Tumor
0.0
982
Normal
0.0
426
Normal
0.0
1031
Tumor
0.0
1032
Normal
0.0
196
Normal
0.0
968
Normal
0.0
211
Tumor
0.0
261
Tumor
0.0
721
Tumor
0.0
222
Normal
0.0
213
Tumor
0.0
861
Tumor
0.0
395
Tumor
0.0
488
Normal
0.0
926
Normal
0.0
482
Normal
0.0
465
Tumor
0.0
461
Tumor
0.0
132
Normal
-0.1
976
Normal
-0.1
272
Normal
-0.1
392
Normal
-0.1
952
Normal
-0.1
878
Normal
-0.1
172
Normal
-0.1
882
Normal
-0.1
647
Tumor
-0.1
1042
Normal
-0.1
918
Normal
-0.1
362
Normal
-0.1
328
Normal
-0.1
484
Normal
-0.1
914
Normal
-0.1
873
Tumor
-0.1
938
Normal
-0.1
817
Tumor
-0.1
425
Tumor
-0.1
427
Tumor
-0.1
572
Normal
-0.1
478
Normal
-0.1
138
Normal
-0.1
1043
Tumor
-0.1
571
Tumor
-0.1
162
Normal
-0.1
364
Normal
-0.1
352
Normal
-0.1
663
Tumor
-0.1
416
Normal
-0.1
436
Normal
-0.1
744
Normal
-0.1
376
Normal
-0.1
925
Tumor
-0.1
536
Normal
-0.1
857
Tumor
-0.1
283
Tumor
-0.1
814
Normal
-0.1
516
Normal
-0.1
533
Tumor
-0.1
662
Normal
-0.1
127
Tumor
-0.1
943
Tumor
-0.1
344
Normal
-0.1
123
Tumor
-0.1
468
Normal
-0.1
722
Normal
-0.1
816
Normal
-0.1
147
Tumor
-0.1
924
Normal
-0.1
375
Tumor
-0.1
312
Normal
-0.1
554
Normal
-0.1
428
Normal
-0.1
874
Normal
-0.1
697
Tumor
-0.1
568
Normal
-0.1
342
Normal
-0.1
492
Normal
-0.1
921
Tumor
-0.1
912
Normal
-0.1
916
Normal
-0.1
564
Normal
-0.1
277
Tumor
-0.1
472
Normal
-0.1
186
Normal
-0.1
332
Normal
-0.1
433
Tumor
-0.1
414
Normal
-0.1
423
Tumor
-0.1
818
Normal
-0.1
314
Normal
-0.1
298
Normal
-0.1
271
Tumor
-0.1
415
Tumor
-0.1
881
Tumor
-0.1
112
Tumor
-0.1
463
Tumor
-0.1
171
Tumor
-0.1
648
Normal
-0.1
146
Normal
-0.1
258
Normal
-0.1
477
Tumor
-0.1
262
Normal
-0.1
618
Normal
-0.1
217
Tumor
-0.1
191
Tumor
-0.1
431
Tumor
-0.1
125
Tumor
-0.1
343
Tumor
-0.1
434
Normal
-0.1
464
Normal
-0.1
188
Normal
-0.1
664
Normal
-0.1
231
Tumor
-0.1
957
Tumor
-0.1
695
Tumor
-0.1
424
Normal
-0.1
975
Tumor
-0.2
954
Normal
-0.2
141
Tumor
-0.2
917
Tumor
-0.2
977
Tumor
-0.2
915
Tumor
-0.2
483
Tumor
-0.2
487
Tumor
-0.2
823
Tumor
-0.2
357
Tumor
-0.2
148
Normal
-0.2
884
Normal
-0.2
354
Normal
-0.2
394
Normal
-0.2
473
Tumor
-0.2
956
Normal
-0.2
553
Tumor
-0.2
665
Tumor
-0.2
341
Tumor
-0.2
883
Tumor
-0.2
628
Normal
-0.2
435
Tumor
-0.2
863
Tumor
-0.2
963
Tumor
-0.2
563
Tumor
-0.2
666
Normal
-0.2
432
Normal
-0.2
297
Tumor
-0.2
456
Normal
-0.2
365
Tumor
-0.2
574
Normal
-0.2
386
Normal
-0.2
635
Tumor
-0.2
161
Tumor
-0.2
368
Normal
-0.2
615
Tumor
-0.2
185
Tumor
-0.2
384
Normal
-0.2
446
Normal
-0.2
388
Normal
-0.2
366
Normal
-0.2
268
Normal
-0.2
538
Normal
-0.2
1041
Tumor
-0.2
1013
Tumor
-0.2
445
Tumor
-0.2
396
Normal
-0.3
311
Tumor
-0.3
498
Normal
-0.3
313
Tumor
-0.3
1045
Tumor
-0.3
491
Tumor
-0.3
672
Normal
-0.3
641
Tumor
-0.3
642
Normal
-0.3
361
Tumor
-0.3
391
Tumor
-0.3
741
Tumor
-0.3
616
Normal
-0.3
911
Tumor
-0.3
444
Normal
-0.3
192
Normal
-0.3
383
Tumor
-0.4
627
Tumor
-0.4
Show allShow less
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.
The Human Protein Atlas project is funded
