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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.
RPS3 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
477.0
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
4545.6
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
1923.6
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
1715.8
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
1705.6
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
1561.2
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
1441.1
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
1337.0
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
1334.3
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
1304.0
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
1251.6
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
1250.5
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
1245.5
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
1238.7
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
1212.5
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
1191.1
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
1181.2
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
1178.8
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
1174.4
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
1159.1
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
1147.4
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
1132.7
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
1121.2
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
1096.1
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
1089.6
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
1028.5
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
1016.0
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
984.9
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
953.3
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
950.5
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
944.5
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
941.6
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
927.0
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
923.7
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
922.5
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
921.7
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
902.0
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
884.6
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
867.5
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
867.2
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
846.4
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
844.4
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
837.6
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
837.1
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
830.1
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
807.3
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
807.0
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
804.6
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
796.5
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
791.9
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
779.0
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
767.4
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
748.3
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
746.6
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
740.4
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
733.1
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
731.3
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
731.0
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
727.7
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
724.3
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
716.0
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
715.2
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
702.2
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
699.1
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
694.6
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
692.8
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
685.3
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
684.9
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
684.4
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
680.2
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
669.5
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
662.6
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
653.3
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
645.5
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
644.4
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
644.3
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
636.6
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
635.7
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
625.7
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
625.3
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
616.8
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
609.1
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
608.8
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
607.5
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
601.0
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
597.5
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
594.3
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
593.7
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
582.3
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
579.5
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
576.5
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
575.7
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
570.6
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
569.2
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
568.8
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
563.0
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
562.9
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
550.7
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
549.7
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
549.0
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
545.4
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
534.3
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
533.5
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
531.7
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
531.3
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
531.0
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
527.4
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
526.2
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
524.9
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
521.9
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
517.2
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
513.1
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
511.4
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
507.9
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
502.6
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
500.2
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
497.1
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
495.9
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
495.8
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
492.6
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
492.5
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
491.3
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
490.7
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
489.3
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
489.0
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
487.7
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
481.4
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
475.7
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
473.4
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
470.2
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
468.9
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
468.7
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
465.5
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
465.3
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
465.2
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
464.3
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
458.9
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
457.1
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
457.0
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
454.9
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
454.7
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
453.9
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
448.4
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
446.1
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
445.2
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
443.6
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
439.5
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
439.2
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
432.1
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
431.5
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
429.1
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
426.4
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
425.0
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
421.8
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
420.3
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
419.1
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
419.0
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
416.5
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
414.6
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
412.9
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
412.8
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
410.0
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
407.9
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
407.9
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
406.7
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
405.7
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
405.1
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
404.8
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
402.8
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
400.5
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
399.9
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
395.8
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
395.7
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
391.3
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
391.2
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
389.8
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
389.7
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
388.6
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
388.0
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
387.9
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
387.8
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
385.7
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
385.1
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
385.0
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
380.5
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
379.7
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
379.6
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
378.6
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
378.6
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
377.7
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
372.9
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
371.1
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
369.1
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
365.1
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
364.9
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
364.0
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
363.0
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
362.9
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
360.6
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
360.1
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
358.8
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
356.2
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
356.0
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
355.5
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
355.2
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
355.0
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
352.5
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
352.2
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
350.9
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
350.6
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
350.5
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
350.3
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
349.5
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
348.6
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
346.7
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
345.5
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
344.7
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
341.8
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
341.5
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
335.4
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
334.1
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
333.9
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
333.0
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
330.8
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
327.8
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
326.0
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
325.8
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
325.5
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
323.0
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
321.2
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
319.7
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
316.1
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
315.2
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
314.8
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
314.5
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
314.2
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
310.7
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
310.5
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
309.8
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
308.6
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
305.6
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
304.9
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
303.1
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
301.7
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
301.6
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
300.0
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
299.2
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
297.8
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
297.3
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
292.7
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
291.8
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
288.4
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
287.1
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
286.0
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
285.5
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
284.9
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
284.5
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
281.4
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
280.0
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
276.0
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
275.9
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
274.3
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
274.3
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
273.1
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
271.9
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
269.5
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
268.6
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
268.0
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
265.0
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
260.4
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
260.0
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
259.5
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
258.9
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
257.3
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
256.8
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
255.4
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
253.0
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
252.7
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
252.2
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
251.6
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
250.3
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
249.1
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
248.4
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
247.9
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
246.3
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
246.3
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
245.4
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
244.3
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
243.8
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
243.8
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
238.2
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
237.6
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
237.5
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
234.4
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
232.5
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
231.3
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
230.7
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
228.2
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
227.9
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
225.9
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
225.8
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
225.0
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
218.4
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
217.1
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
216.9
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
216.2
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
215.1
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
212.3
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
211.7
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
208.7
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
207.7
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
206.4
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
204.9
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
201.5
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
201.1
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
200.9
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
197.8
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
196.2
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
196.1
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
195.9
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
194.4
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
192.2
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
189.3
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
188.0
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
187.3
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
183.3
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
183.2
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
182.2
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
181.5
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
178.5
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
176.4
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
174.9
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
172.5
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
171.8
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
170.7
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
169.7
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
166.9
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
166.1
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
164.7
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
162.0
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
159.4
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
159.1
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
154.3
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
145.9
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
144.4
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
143.6
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
134.8
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
127.3
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
125.7
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
123.5
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
121.3
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
119.8
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
117.1
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
113.9
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
100.5
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
99.8
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
88.8
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
82.7
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
76.6
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
70.8
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
54.1
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
50.0
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 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.
RPS3 is potential prognostic, high expression is unfavorable in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
1266.1
Number of samples
231
Samples
Sample
Description
pTPM
DO45189
85 years, female, NA, stage:2, alive, 1200 days
4999.9
DO45285
59 years, male, NA, stage:3, alive, 480 days
4396.7
DO45303
62 years, female, NA, stage:3, alive, 990 days
4187.7
DO23515
71 years, male, NA, stage:2, alive, 1230 days
3896.5
DO45209
70 years, male, NA, stage:4, alive, 1350 days
3676.9
DO45217
69 years, female, NA, stage:3, dead, 270 days
3608.6
DO45239
42 years, male, NA, stage:2, alive, 870 days
3436.7
DO50785
37 years, male, NA, stage:4, dead, 90 days
3306.7
DO48747
62 years, male, NA, stage:3, alive, 540 days
3267.7
DO50815
62 years, male, NA, stage:3, alive, 150 days
3265.5
DO45251
57 years, female, NA, stage:2, alive, 900 days
3257.4
DO45299
70 years, female, NA, stage:1, alive, 1440 days
3139.9
DO45279
67 years, male, NA, stage:3, alive, 1290 days
3131.0
DO45307
54 years, female, NA, stage:4, dead, 240 days
3098.4
DO45305
66 years, male, NA, stage:4, alive, 300 days
2925.7
DO23511
83 years, female, NA, stage:3, dead, 180 days
2766.8
DO45289
78 years, female, NA, stage:3, alive, 360 days
2736.0
DO48730
73 years, female, NA, stage:2, alive, 630 days
2656.8
DO45211
76 years, male, NA, stage:3, alive, 240 days
2637.1
DO23530
53 years, male, NA, stage:4, dead, 180 days
2624.7
DO45191
61 years, female, NA, stage:2, alive, 1200 days
2509.7
DO45269
59 years, male, NA, stage:3, alive, 750 days
2509.3
DO45093
71 years, male, NA, stage:2, dead, 720 days
2415.7
DO45277
64 years, male, NA, stage:3, alive, 600 days
2404.0
DO50806
70 years, male, NA, stage:4, alive, 540 days
2388.1
DO48682
72 years, female, NA, stage:3, dead, 120 days
2363.0
DO45127
73 years, male, NA, stage:3, dead, 420 days
2358.5
DO50799
66 years, female, NA, stage:2, alive, 540 days
2291.1
DO45297
61 years, female, NA, stage:4, dead, 1260 days
2279.7
DO48737
52 years, male, NA, stage:1, alive, 720 days
2278.3
DO45287
74 years, male, NA, stage:1, alive, 390 days
2264.0
DO23519
65 years, male, NA, stage:3, alive, 630 days
2207.6
DO45219
78 years, male, NA, stage:2, alive, 1080 days
2193.0
DO48757
68 years, female, NA, stage:3, alive, 480 days
2174.7
DO48715
58 years, female, NA, stage:2, dead, 690 days
2158.4
DO50855
47 years, male, NA, stage:2, alive, 570 days
2143.6
DO45283
60 years, male, NA, stage:3, alive, 510 days
2099.1
DO45265
73 years, male, NA, stage:3, alive, 1020 days
2055.5
DO23516
69 years, male, NA, stage:3, dead, 20 days
2019.3
DO48697
64 years, female, NA, stage:2, dead, 810 days
1991.6
DO23526
66 years, male, NA, stage:3, alive, 1050 days
1981.7
DO45249
57 years, male, NA, stage:1, alive, 630 days
1967.5
DO45097
69 years, male, NA, stage:3, alive, 1620 days
1879.5
DO23537
79 years, male, NA, stage:2, dead, 900 days
1852.1
DO45173
63 years, male, NA, stage:3, alive, 1170 days
1824.5
DO45145
78 years, male, NA, stage:3, dead, 60 days
1765.1
DO50793
76 years, male, NA, stage:4, alive, 540 days
1753.4
DO45267
73 years, male, NA, stage:3, dead, 570 days
1714.4
DO48736
76 years, female, NA, stage:1, alive, 600 days
1698.8
DO45273
62 years, male, NA, stage:2, alive, 480 days
1680.3
DO45231
84 years, male, NA, stage:2, alive, 930 days
1679.2
DO50778
60 years, male, NA, stage:4, alive, 630 days
1675.9
DO45259
65 years, male, NA, stage:3, alive, 330 days
1661.6
DO23508
79 years, female, NA, stage:2, alive, 390 days
1643.5
DO23545
67 years, male, NA, stage:2, dead, 570 days
1629.4
DO50791
79 years, female, NA, stage:1, dead, 480 days
1626.2
DO48706
72 years, male, NA, stage:2, alive, 870 days
1625.4
DO45165
75 years, male, NA, stage:2, alive, 690 days
1597.6
DO45247
31 years, female, NA, stage:2, alive, 210 days
1587.4
DO45281
83 years, male, NA, stage:4, alive, 750 days
1553.8
DO45275
65 years, male, NA, stage:3, dead, 10 days
1549.6
DO45187
32 years, female, NA, stage:1, alive, 1260 days
1523.4
DO45205
67 years, female, NA, stage:2, dead, 90 days
1513.1
DO23523
52 years, male, NA, stage:3, alive, 1080 days
1492.9
DO50839
47 years, female, NA, stage:3, alive, 330 days
1482.4
DO50814
83 years, male, NA, stage:3, alive, 420 days
1464.9
DO23540
73 years, male, NA, stage:1, alive, 750 days
1451.7
DO23528
45 years, female, NA, stage:2, alive, 1020 days
1450.5
DO45245
75 years, female, NA, stage:2, dead, 240 days
1422.3
DO45095
66 years, male, NA, stage:2, alive, 1620 days
1402.0
DO48681
57 years, male, NA, stage:2, alive, 900 days
1400.8
DO50809
56 years, male, NA, stage:3, dead, 720 days
1391.0
DO48723
73 years, male, NA, stage:1, alive, 600 days
1388.4
DO45092
62 years, male, NA, stage:4, dead, 1200 days
1374.5
DO45213
58 years, male, NA, stage:1, alive, 1200 days
1362.7
DO48751
68 years, male, NA, stage:2, dead, 480 days
1357.3
DO48733
72 years, male, NA, stage:2, alive, 600 days
1343.5
DO45301
56 years, male, NA, stage:2, dead, 1440 days
1327.7
DO45183
72 years, female, NA, stage:2, dead, 570 days
1325.7
DO45253
50 years, male, NA, stage:2, alive, 870 days
1298.9
DO45131
53 years, male, NA, stage:4, dead, 360 days
1290.0
DO45243
74 years, female, NA, stage:3, alive, 930 days
1284.8
DO48712
50 years, male, NA, stage:2, alive, 810 days
1280.9
DO45135
77 years, male, NA, stage:1, alive, 1410 days
1275.6
DO50820
77 years, female, NA, stage:3, alive, 510 days
1269.2
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1266.6
DO45141
73 years, male, NA, stage:2, alive, 1320 days
1264.9
DO45221
75 years, female, NA, stage:4, dead, 390 days
1260.4
DO45179
78 years, female, NA, stage:2, alive, 600 days
1253.8
DO50859
77 years, male, NA, stage:2, alive, 180 days
1245.0
DO45103
47 years, male, NA, stage:3, alive, 450 days
1213.1
DO45193
68 years, female, NA, stage:4, dead, 120 days
1193.9
DO45139
63 years, male, NA, stage:3, alive, 1320 days
1188.5
DO45161
74 years, male, NA, stage:2, dead, 540 days
1180.8
DO50829
78 years, male, NA, stage:3, alive, 570 days
1171.1
DO48720
62 years, female, NA, stage:2, alive, 570 days
1160.2
DO50805
72 years, male, NA, stage:2, alive, 690 days
1157.5
DO23542
66 years, male, NA, stage:3, alive, 960 days
1154.8
DO50800
74 years, male, NA, stage:2, alive, 510 days
1139.4
DO45157
62 years, male, NA, stage:2, alive, 1980 days
1137.4
DO45227
57 years, female, NA, stage:2, alive, 1020 days
1134.3
DO50802
49 years, male, NA, stage:2, alive, 930 days
1124.0
DO48728
74 years, female, NA, stage:2, alive, 150 days
1074.3
DO48677
58 years, male, NA, stage:3, alive, 1140 days
1065.8
DO48725
66 years, male, NA, stage:1, alive, 780 days
1065.7
DO50816
63 years, male, NA, stage:2, alive, 390 days
1060.3
DO23547
74 years, male, NA, stage:1, alive, 1020 days
1052.6
DO50811
62 years, male, NA, stage:1, alive, 450 days
1052.5
DO48727
81 years, female, NA, stage:2, dead, 390 days
1041.0
DO45203
71 years, female, NA, stage:2, alive, 1170 days
1038.9
DO48717
54 years, male, NA, stage:4, dead, 180 days
1035.2
DO45261
74 years, male, NA, stage:3, alive, 990 days
1032.8
DO23536
56 years, male, NA, stage:2, alive, 930 days
1013.6
DO45119
74 years, male, NA, stage:3, dead, 510 days
990.6
DO48672
81 years, male, NA, stage:2, alive, 450 days
980.6
DO23549
74 years, male, NA, stage:3, alive, 990 days
966.8
DO45225
69 years, male, NA, stage:1, alive, 1050 days
961.2
DO50783
62 years, male, NA, stage:3, alive, 480 days
957.2
DO45121
61 years, male, NA, stage:3, alive, 1530 days
944.1
DO45175
74 years, male, NA, stage:2, alive, 1140 days
940.2
DO45109
63 years, male, NA, stage:2, alive, 1590 days
939.6
DO48759
73 years, male, NA, stage:3, alive, 720 days
927.3
DO50822
66 years, male, NA, stage:2, alive, 510 days
921.1
DO45113
58 years, male, NA, stage:3, alive, 1560 days
917.4
DO50850
74 years, male, NA, stage:3, alive, 720 days
915.5
DO45199
86 years, female, NA, stage:2, alive, 1350 days
913.3
DO23514
64 years, male, NA, stage:2, alive, 1290 days
906.6
DO45153
77 years, female, NA, stage:2, alive, 1380 days
896.8
DO23533
61 years, male, NA, stage:2, alive, 900 days
890.5
DO45257
46 years, male, NA, stage:3, alive, 810 days
889.0
DO45155
69 years, male, NA, stage:2, alive, 2160 days
880.8
DO45201
49 years, male, NA, stage:1, alive, 900 days
866.5
DO48700
78 years, female, NA, stage:2, alive, 810 days
863.8
DO45163
76 years, male, NA, stage:2, alive, 960 days
862.6
DO23543
63 years, male, NA, stage:2, alive, 1020 days
854.6
DO48732
73 years, male, NA, stage:3, alive, 630 days
852.9
DO23524
71 years, female, NA, stage:2, alive, 1050 days
849.4
DO45223
67 years, male, NA, stage:4, alive, 1020 days
843.9
DO45185
89 years, male, NA, stage:2, alive, 600 days
840.2
DO50817
75 years, male, NA, stage:2, alive, 390 days
831.2
DO45229
74 years, male, NA, stage:1, alive, 990 days
828.0
DO23521
63 years, male, NA, stage:3, alive, 1110 days
820.1
DO23535
67 years, male, NA, stage:1, alive, 960 days
816.5
DO45233
83 years, male, NA, stage:3, alive, 900 days
815.4
DO45181
84 years, female, NA, stage:2, alive, 1200 days
811.0
DO23548
78 years, female, NA, stage:1, alive, 840 days
808.3
DO45149
70 years, female, NA, stage:2, alive, 1260 days
804.6
DO50840
49 years, male, NA, stage:2, alive, 330 days
795.1
DO45207
68 years, male, NA, stage:1, alive, 1050 days
794.5
DO23510
80 years, female, NA, stage:2, alive, 870 days
785.1
DO45241
49 years, male, NA, stage:1, alive, 1080 days
784.5
DO45137
38 years, male, NA, stage:1, alive, 1320 days
773.1
DO48746
76 years, male, NA, stage:3, alive, 570 days
772.2
DO45125
58 years, male, NA, stage:3, alive, 1680 days
771.3
DO23546
63 years, male, NA, stage:2, alive, 1050 days
759.5
DO50844
75 years, male, NA, stage:4, alive, 300 days
757.3
DO50808
68 years, male, NA, stage:2, alive, 570 days
754.8
DO227801
77 years, female, NA, stage:1, alive, 660 days
748.1
DO50819
72 years, female, NA, stage:2, alive, 510 days
739.7
DO50813
56 years, male, NA, stage:2, alive, 420 days
736.1
DO23529
72 years, male, NA, stage:4, alive, 930 days
733.5
DO45177
81 years, female, NA, stage:3, alive, 1260 days
729.2
DO48719
80 years, male, NA, stage:2, alive, 690 days
725.7
DO48704
68 years, female, NA, stage:3, alive, 750 days
720.7
DO45169
74 years, male, NA, stage:3, alive, 1350 days
718.7
DO23531
78 years, female, NA, stage:3, alive, 900 days
716.9
DO227643
79 years, male, NA, stage:2, alive, 1260 days
708.3
DO45143
69 years, male, NA, stage:3, alive, 1290 days
705.1
DO45171
56 years, male, NA, stage:3, alive, 600 days
692.1
DO48743
69 years, female, NA, stage:2, alive, 570 days
691.9
DO48679
72 years, male, NA, stage:2, alive, 1200 days
688.7
DO50776
75 years, male, NA, stage:1, alive, 690 days
687.8
DO48716
71 years, male, NA, stage:2, alive, 720 days
679.5
DO50857
72 years, male, NA, stage:2, alive, 210 days
679.1
DO45117
73 years, female, NA, stage:2, dead, 1110 days
675.1
DO50825
70 years, male, NA, stage:2, alive, 390 days
666.8
DO23513
76 years, male, NA, stage:3, alive, 1200 days
665.9
DO48693
71 years, male, NA, stage:2, alive, 900 days
664.6
DO45091
56 years, male, NA, stage:2, dead, 1320 days
654.1
DO45123
78 years, female, NA, stage:2, dead, 570 days
650.4
DO50774
68 years, female, NA, stage:2, alive, 720 days
648.7
DO50787
63 years, male, NA, stage:3, alive, 480 days
648.5
DO50798
77 years, male, NA, stage:3, dead, 30 days
642.5
DO50789
73 years, female, NA, stage:2, alive, 570 days
639.5
DO45159
65 years, male, NA, stage:3, alive, 1470 days
632.5
DO50807
67 years, male, NA, stage:1, alive, 540 days
630.6
DO45235
68 years, female, NA, stage:1, alive, 900 days
628.8
DO50803
62 years, female, NA, stage:1, alive, 540 days
616.6
DO48741
64 years, male, NA, stage:3, alive, 240 days
612.2
DO48695
77 years, male, NA, stage:2, alive, 720 days
611.1
DO48761
55 years, male, NA, stage:2, alive, 870 days
601.7
DO50818
65 years, male, NA, stage:2, alive, 510 days
596.5
DO48742
76 years, male, NA, stage:2, alive, 600 days
593.5
DO45255
81 years, male, NA, stage:3, alive, 720 days
592.8
DO23527
72 years, male, NA, stage:1, alive, 1050 days
579.2
DO23538
67 years, male, NA, stage:2, alive, 450 days
575.3
DO48674
80 years, male, NA, stage:2, alive, 1260 days
574.5
DO50832
73 years, male, NA, stage:3, alive, 90 days
573.2
DO50804
81 years, male, NA, stage:2, alive, 720 days
572.5
DO45263
67 years, male, NA, stage:3, dead, 270 days
569.5
DO23532
71 years, female, NA, stage:1, alive, 960 days
568.5
DO23541
65 years, male, NA, stage:2, alive, 930 days
544.5
DO23539
77 years, male, NA, stage:1, alive, 1110 days
537.5
DO48701
78 years, male, NA, stage:2, alive, 780 days
533.0
DO45215
65 years, male, NA, stage:2, alive, 1170 days
527.6
DO45237
58 years, male, NA, stage:2, alive, 900 days
519.6
DO23552
80 years, female, NA, stage:1, alive, 810 days
514.0
DO45096
69 years, male, NA, stage:2, dead, 1290 days
501.3
DO23512
60 years, male, NA, stage:1, alive, 1260 days
494.2
DO23551
73 years, male, NA, stage:3, dead, 150 days
493.6
DO45129
61 years, male, NA, stage:3, alive, 1470 days
452.6
DO45099
46 years, male, NA, stage:3, alive, 1590 days
444.5
DO45133
64 years, male, NA, stage:3, dead, 660 days
439.2
DO48721
58 years, female, NA, stage:1, alive, 900 days
437.1
DO23518
67 years, male, NA, stage:2, alive, 1320 days
436.6
DO45094
76 years, male, NA, stage:3, alive, 1650 days
429.0
DO48760
70 years, female, NA, stage:2, alive, 690 days
427.9
DO50845
72 years, male, NA, stage:3, alive, 210 days
427.3
DO45115
81 years, male, NA, stage:2, alive, 840 days
421.2
DO45107
63 years, female, NA, stage:2, alive, 1710 days
415.9
DO45197
51 years, male, NA, stage:2, alive, 1170 days
415.4
DO23550
69 years, male, NA, stage:1, alive, 990 days
413.9
DO23544
67 years, male, NA, stage:2, alive, 960 days
404.0
DO23517
62 years, male, NA, stage:2, alive, 1200 days
390.4
DO23534
60 years, male, NA, stage:2, alive, 840 days
383.4
DO45195
62 years, male, NA, stage:1, alive, 390 days
359.0
DO23509
60 years, male, NA, stage:3, dead, 780 days
358.6
DO45101
63 years, male, NA, stage:2, alive, 1680 days
315.0
DO45105
61 years, male, NA, stage:1, alive, 1680 days
295.3
DO45111
74 years, male, NA, stage:2, alive, 1590 days
261.5
DO45167
67 years, male, NA, stage:2, dead, 1440 days
221.0
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
537
Tumor
0.5
327
Tumor
0.4
557
Tumor
0.4
1021
Tumor
0.4
567
Tumor
0.4
815
Tumor
0.4
713
Tumor
0.3
523
Tumor
0.3
978
Normal
0.3
481
Tumor
0.3
851
Tumor
0.3
955
Tumor
0.3
727
Tumor
0.3
912
Normal
0.3
922
Normal
0.3
965
Tumor
0.3
983
Tumor
0.3
223
Tumor
0.3
285
Tumor
0.3
1014
Normal
0.3
636
Normal
0.3
514
Normal
0.3
937
Tumor
0.3
685
Tumor
0.3
1025
Tumor
0.2
984
Normal
0.2
696
Normal
0.2
944
Normal
0.2
938
Normal
0.2
728
Normal
0.2
526
Normal
0.2
926
Normal
0.2
918
Normal
0.2
448
Normal
0.2
528
Normal
0.2
756
Normal
0.2
131
Tumor
0.2
1044
Normal
0.2
524
Normal
0.2
967
Tumor
0.2
212
Normal
0.2
916
Normal
0.2
697
Tumor
0.2
545
Tumor
0.2
968
Normal
0.2
517
Tumor
0.2
412
Normal
0.2
778
Normal
0.2
981
Tumor
0.2
951
Tumor
0.2
1042
Normal
0.2
864
Normal
0.2
1026
Normal
0.2
533
Tumor
0.2
964
Normal
0.2
534
Normal
0.2
525
Tumor
0.2
227
Tumor
0.2
724
Normal
0.2
473
Tumor
0.2
1027
Tumor
0.2
852
Normal
0.2
355
Tumor
0.2
923
Tumor
0.2
488
Normal
0.2
356
Normal
0.2
721
Tumor
0.2
284
Normal
0.2
982
Normal
0.2
777
Tumor
0.2
1022
Normal
0.2
924
Normal
0.2
698
Normal
0.2
546
Normal
0.2
286
Normal
0.2
745
Tumor
0.2
723
Tumor
0.2
1016
Normal
0.2
558
Normal
0.2
462
Normal
0.1
494
Normal
0.1
518
Normal
0.1
484
Normal
0.1
858
Normal
0.1
1031
Tumor
0.1
958
Normal
0.1
824
Normal
0.1
862
Normal
0.1
554
Normal
0.1
884
Normal
0.1
482
Normal
0.1
162
Normal
0.1
191
Tumor
0.1
1046
Normal
0.1
786
Normal
0.1
113
Tumor
0.1
497
Tumor
0.1
1015
Tumor
0.1
817
Tumor
0.1
686
Normal
0.1
331
Tumor
0.1
414
Normal
0.1
966
Normal
0.1
515
Tumor
0.1
785
Tumor
0.1
228
Normal
0.1
957
Tumor
0.1
516
Normal
0.1
715
Tumor
0.1
1032
Normal
0.1
535
Tumor
0.1
954
Normal
0.1
363
Tumor
0.1
818
Normal
0.1
353
Tumor
0.1
714
Normal
0.1
976
Normal
0.1
195
Tumor
0.1
738
Normal
0.1
472
Normal
0.1
422
Normal
0.1
332
Normal
0.1
214
Normal
0.1
755
Tumor
0.1
467
Tumor
0.1
953
Tumor
0.1
743
Tumor
0.1
196
Normal
0.1
866
Normal
0.1
172
Normal
0.1
746
Normal
0.1
415
Tumor
0.1
952
Normal
0.1
956
Normal
0.1
314
Normal
0.1
882
Normal
0.1
722
Normal
0.1
865
Tumor
0.1
628
Normal
0.1
145
Tumor
0.1
328
Normal
0.1
367
Tumor
0.1
877
Tumor
0.1
1028
Normal
0.1
432
Normal
0.1
394
Normal
0.1
742
Normal
0.1
474
Normal
0.1
128
Normal
0.1
142
Normal
0.1
913
Tumor
0.1
364
Normal
0.1
573
Tumor
0.1
478
Normal
0.1
527
Tumor
0.1
617
Tumor
0.1
466
Normal
0.1
737
Tumor
0.1
222
Normal
0.1
221
Tumor
0.1
553
Tumor
0.1
616
Normal
0.1
921
Tumor
0.1
816
Normal
0.1
224
Normal
0.1
464
Normal
0.1
136
Normal
0.1
513
Tumor
0.1
695
Tumor
0.0
666
Normal
0.0
312
Normal
0.0
492
Normal
0.0
861
Tumor
0.0
868
Normal
0.0
716
Normal
0.0
416
Normal
0.0
823
Tumor
0.0
536
Normal
0.0
648
Normal
0.0
564
Normal
0.0
572
Normal
0.0
358
Normal
0.0
878
Normal
0.0
857
Tumor
0.0
1043
Tumor
0.0
568
Normal
0.0
925
Tumor
0.0
186
Normal
0.0
392
Normal
0.0
661
Tumor
0.0
493
Tumor
0.0
436
Normal
0.0
421
Tumor
0.0
147
Tumor
0.0
187
Tumor
0.0
963
Tumor
0.0
393
Tumor
0.0
218
Normal
0.0
618
Normal
0.0
1013
Tumor
0.0
471
Tumor
0.0
428
Normal
0.0
148
Normal
0.0
376
Normal
0.0
662
Normal
0.0
943
Tumor
0.0
664
Normal
0.0
232
Normal
0.0
483
Tumor
0.0
298
Normal
0.0
278
Normal
0.0
384
Normal
0.0
426
Normal
0.0
388
Normal
0.0
411
Tumor
0.0
446
Normal
0.0
917
Tumor
0.0
915
Tumor
0.0
571
Tumor
0.0
647
Tumor
0.0
914
Normal
0.0
491
Tumor
0.0
362
Normal
0.0
873
Tumor
0.0
413
Tumor
0.0
538
Normal
0.0
267
Tumor
0.0
352
Normal
0.0
1041
Tumor
0.0
111
Normal
0.0
424
Normal
0.0
283
Tumor
0.0
257
Tumor
0.0
188
Normal
0.0
447
Tumor
0.0
444
Normal
0.0
132
Normal
0.0
135
Tumor
0.0
258
Normal
0.0
672
Normal
0.0
396
Normal
0.0
211
Tumor
0.0
477
Tumor
0.0
351
Tumor
0.0
487
Tumor
0.0
975
Tumor
-0.1
126
Normal
-0.1
977
Tumor
-0.1
114
Normal
-0.1
387
Tumor
-0.1
867
Tumor
-0.1
368
Normal
-0.1
563
Tumor
-0.1
146
Normal
-0.1
874
Normal
-0.1
881
Tumor
-0.1
213
Tumor
-0.1
127
Tumor
-0.1
385
Tumor
-0.1
217
Tumor
-0.1
468
Normal
-0.1
395
Tumor
-0.1
277
Tumor
-0.1
342
Normal
-0.1
671
Tumor
-0.1
498
Normal
-0.1
431
Tumor
-0.1
354
Normal
-0.1
435
Tumor
-0.1
268
Normal
-0.1
445
Tumor
-0.1
461
Tumor
-0.1
137
Tumor
-0.1
344
Normal
-0.1
455
Tumor
-0.1
615
Tumor
-0.1
361
Tumor
-0.1
386
Normal
-0.1
452
Normal
-0.1
665
Tumor
-0.1
744
Normal
-0.1
138
Normal
-0.1
425
Tumor
-0.1
124
Normal
-0.1
813
Tumor
-0.1
271
Tumor
-0.1
465
Tumor
-0.1
366
Normal
-0.1
463
Tumor
-0.1
883
Tumor
-0.1
423
Tumor
-0.1
125
Tumor
-0.1
451
Tumor
-0.1
443
Tumor
-0.1
642
Normal
-0.1
456
Normal
-0.1
272
Normal
-0.1
863
Tumor
-0.1
574
Normal
-0.1
262
Normal
-0.1
814
Normal
-0.1
365
Tumor
-0.1
433
Tumor
-0.1
112
Tumor
-0.2
434
Normal
-0.2
192
Normal
-0.2
357
Tumor
-0.2
663
Tumor
-0.2
427
Tumor
-0.2
1045
Tumor
-0.2
911
Tumor
-0.2
231
Tumor
-0.2
391
Tumor
-0.2
261
Tumor
-0.2
311
Tumor
-0.2
375
Tumor
-0.2
313
Tumor
-0.2
171
Tumor
-0.2
641
Tumor
-0.2
627
Tumor
-0.2
185
Tumor
-0.2
635
Tumor
-0.2
343
Tumor
-0.3
297
Tumor
-0.3
141
Tumor
-0.3
161
Tumor
-0.3
123
Tumor
-0.3
341
Tumor
-0.3
741
Tumor
-0.3
383
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.
The Human Protein Atlas project is funded
