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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.
RPL11 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
608.2
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
3681.4
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
2587.9
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
2253.2
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
2244.7
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
1770.8
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
1759.5
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
1531.4
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
1456.0
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
1416.2
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
1392.1
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
1372.4
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
1372.3
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
1358.7
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
1345.1
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
1343.1
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
1339.7
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
1339.6
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
1326.5
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
1291.5
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
1265.4
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
1253.1
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
1246.3
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
1239.1
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
1223.0
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
1213.1
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
1205.6
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
1204.6
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
1187.9
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
1186.1
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1174.5
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
1138.1
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
1119.5
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
1091.7
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
1089.6
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
1086.9
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
1065.1
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
1056.8
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1046.7
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
1039.5
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
1038.1
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
1028.0
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
1025.9
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
1017.2
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
1013.8
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
1010.9
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
996.5
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
991.2
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
986.2
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
984.6
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
984.0
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
973.7
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
973.3
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
965.9
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
963.7
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
955.3
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
954.8
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
931.1
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
928.5
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
924.9
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
924.6
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
920.4
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
914.2
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
902.8
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
902.5
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
902.0
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
899.0
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
893.9
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
888.8
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
883.0
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
832.6
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
827.2
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
825.2
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
824.7
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
824.3
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
823.7
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
808.4
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
803.3
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
803.2
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
797.9
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
794.2
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
786.8
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
784.0
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
783.1
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
778.8
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
767.9
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
754.6
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
751.8
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
751.3
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
751.2
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
747.7
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
743.8
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
742.9
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
741.8
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
737.0
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
736.1
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
725.6
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
725.4
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
722.5
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
712.6
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
706.0
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
705.0
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
703.8
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
700.6
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
696.6
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
691.3
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
688.6
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
680.4
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
657.2
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
657.1
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
651.2
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
643.8
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
640.6
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
640.2
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
637.9
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
629.3
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
625.7
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
624.1
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
621.5
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
616.2
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
616.2
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
616.0
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
615.4
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
610.9
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
604.4
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
601.6
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
600.7
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
600.3
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
599.6
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
595.5
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
593.0
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
591.0
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
590.9
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
586.1
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
584.8
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
583.7
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
580.8
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
580.5
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
579.7
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
578.8
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
574.0
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
572.4
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
572.4
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
569.1
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
568.2
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
564.9
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
564.8
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
563.5
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
562.6
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
561.5
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
559.7
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
557.6
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
554.2
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
552.9
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
552.2
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
550.7
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
549.5
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
547.1
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
546.1
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
545.7
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
545.2
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
544.9
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
543.5
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
542.8
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
541.7
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
539.8
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
538.1
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
536.9
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
531.6
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
528.9
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
527.4
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
524.5
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
522.4
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
521.0
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
520.9
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
520.7
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
516.4
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
515.3
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
513.5
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
512.1
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
509.8
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
508.3
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
505.8
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
503.9
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
502.5
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
498.9
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
498.8
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
498.8
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
496.9
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
495.2
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
494.9
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
488.3
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
482.5
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
481.0
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
480.6
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
479.9
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
479.0
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
476.0
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
474.7
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
474.7
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
470.5
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
470.2
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
466.8
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
460.0
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
458.4
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
455.3
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
452.4
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
451.7
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
451.5
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
450.1
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
447.8
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
446.6
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
445.8
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
445.2
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
444.4
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
443.1
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
443.0
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
441.1
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
440.8
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
440.6
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
439.1
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
438.5
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
438.3
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
437.7
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
437.5
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
437.4
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
436.0
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
435.5
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
434.4
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
434.2
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
433.6
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
432.5
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
432.3
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
432.3
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
431.4
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
428.8
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
427.2
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
427.0
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
420.9
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
415.1
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
414.9
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
411.1
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
410.7
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
410.1
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
403.3
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
400.2
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
399.1
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
398.4
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
396.4
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
395.2
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
394.2
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
392.5
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
389.1
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
388.7
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
387.6
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
387.3
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
385.9
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
384.1
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
383.8
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
382.5
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
382.0
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
379.7
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
378.3
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
377.7
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
371.0
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
371.0
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
369.6
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
367.8
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
365.3
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
364.3
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
363.7
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
363.4
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
361.1
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
359.4
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
357.5
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
355.2
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
353.7
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
352.7
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
351.7
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
349.7
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
349.3
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
348.3
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
347.2
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
346.5
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
346.4
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
342.9
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
342.2
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
342.0
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
341.7
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
340.4
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
338.8
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
338.6
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
335.3
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
335.2
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
333.6
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
333.3
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
329.6
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
328.9
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
326.1
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
325.0
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
324.8
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
323.1
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
322.7
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
321.0
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
317.0
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
314.7
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
314.6
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
314.3
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
314.2
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
314.1
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
313.5
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
311.1
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
309.8
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
305.8
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
305.7
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
296.0
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
294.9
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
292.2
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
289.4
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
289.3
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
287.3
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
284.0
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
282.9
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
280.9
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
279.2
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
277.8
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
277.0
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
276.3
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
274.8
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
273.5
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
273.1
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
269.4
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
266.9
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
264.3
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
264.1
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
262.7
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
260.9
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
256.1
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
255.1
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
254.8
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
253.8
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
252.9
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
247.1
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
244.2
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
242.5
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
240.6
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
232.3
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
232.2
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
229.4
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
227.6
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
225.6
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
221.6
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
221.4
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
214.9
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
213.3
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
210.5
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
205.1
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
199.2
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
189.5
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
182.2
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
169.7
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
164.9
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.
RPL11 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
1814.6
Number of samples
231
Samples
Sample
Description
pTPM
DO45193
68 years, female, NA, stage:4, dead, 120 days
4639.4
DO23530
53 years, male, NA, stage:4, dead, 180 days
4262.2
DO50785
37 years, male, NA, stage:4, dead, 90 days
4175.5
DO23545
67 years, male, NA, stage:2, dead, 570 days
4037.6
DO50815
62 years, male, NA, stage:3, alive, 150 days
4018.7
DO48747
62 years, male, NA, stage:3, alive, 540 days
4010.9
DO45209
70 years, male, NA, stage:4, alive, 1350 days
3896.7
DO48682
72 years, female, NA, stage:3, dead, 120 days
3894.4
DO45285
59 years, male, NA, stage:3, alive, 480 days
3874.0
DO23519
65 years, male, NA, stage:3, alive, 630 days
3829.8
DO45299
70 years, female, NA, stage:1, alive, 1440 days
3554.5
DO23515
71 years, male, NA, stage:2, alive, 1230 days
3525.3
DO50799
66 years, female, NA, stage:2, alive, 540 days
3503.8
DO45307
54 years, female, NA, stage:4, dead, 240 days
3467.9
DO50806
70 years, male, NA, stage:4, alive, 540 days
3359.1
DO48741
64 years, male, NA, stage:3, alive, 240 days
3353.3
DO45217
69 years, female, NA, stage:3, dead, 270 days
3341.6
DO23508
79 years, female, NA, stage:2, alive, 390 days
3294.2
DO50778
60 years, male, NA, stage:4, alive, 630 days
3268.7
DO48706
72 years, male, NA, stage:2, alive, 870 days
3268.6
DO50814
83 years, male, NA, stage:3, alive, 420 days
3165.7
DO45205
67 years, female, NA, stage:2, dead, 90 days
3083.3
DO45097
69 years, male, NA, stage:3, alive, 1620 days
3075.9
DO45303
62 years, female, NA, stage:3, alive, 990 days
3037.2
DO48697
64 years, female, NA, stage:2, dead, 810 days
2980.9
DO45145
78 years, male, NA, stage:3, dead, 60 days
2977.9
DO23511
83 years, female, NA, stage:3, dead, 180 days
2973.6
DO45251
57 years, female, NA, stage:2, alive, 900 days
2969.4
DO23516
69 years, male, NA, stage:3, dead, 20 days
2907.7
DO45301
56 years, male, NA, stage:2, dead, 1440 days
2821.5
DO45269
59 years, male, NA, stage:3, alive, 750 days
2783.4
DO45093
71 years, male, NA, stage:2, dead, 720 days
2776.7
DO45265
73 years, male, NA, stage:3, alive, 1020 days
2747.2
DO45161
74 years, male, NA, stage:2, dead, 540 days
2735.1
DO45277
64 years, male, NA, stage:3, alive, 600 days
2728.7
DO45287
74 years, male, NA, stage:1, alive, 390 days
2716.8
DO50791
79 years, female, NA, stage:1, dead, 480 days
2713.3
DO45283
60 years, male, NA, stage:3, alive, 510 days
2697.6
DO23523
52 years, male, NA, stage:3, alive, 1080 days
2666.8
DO48730
73 years, female, NA, stage:2, alive, 630 days
2645.2
DO45249
57 years, male, NA, stage:1, alive, 630 days
2589.1
DO45305
66 years, male, NA, stage:4, alive, 300 days
2588.0
DO45289
78 years, female, NA, stage:3, alive, 360 days
2553.2
DO23521
63 years, male, NA, stage:3, alive, 1110 days
2538.8
DO45095
66 years, male, NA, stage:2, alive, 1620 days
2527.4
DO45219
78 years, male, NA, stage:2, alive, 1080 days
2487.0
DO50809
56 years, male, NA, stage:3, dead, 720 days
2458.3
DO45127
73 years, male, NA, stage:3, dead, 420 days
2456.5
DO45259
65 years, male, NA, stage:3, alive, 330 days
2437.9
DO45185
89 years, male, NA, stage:2, alive, 600 days
2424.9
DO50844
75 years, male, NA, stage:4, alive, 300 days
2413.4
DO45267
73 years, male, NA, stage:3, dead, 570 days
2398.5
DO45261
74 years, male, NA, stage:3, alive, 990 days
2369.9
DO50859
77 years, male, NA, stage:2, alive, 180 days
2321.2
DO50855
47 years, male, NA, stage:2, alive, 570 days
2318.5
DO48757
68 years, female, NA, stage:3, alive, 480 days
2270.1
DO23526
66 years, male, NA, stage:3, alive, 1050 days
2268.2
DO45165
75 years, male, NA, stage:2, alive, 690 days
2264.9
DO45139
63 years, male, NA, stage:3, alive, 1320 days
2220.2
DO50802
49 years, male, NA, stage:2, alive, 930 days
2219.5
DO23542
66 years, male, NA, stage:3, alive, 960 days
2214.3
DO45281
83 years, male, NA, stage:4, alive, 750 days
2212.9
DO50811
62 years, male, NA, stage:1, alive, 450 days
2171.7
DO48712
50 years, male, NA, stage:2, alive, 810 days
2162.8
DO45273
62 years, male, NA, stage:2, alive, 480 days
2151.6
DO45279
67 years, male, NA, stage:3, alive, 1290 days
2147.4
DO23525
71 years, male, NA, stage:4, alive, 1050 days
2138.8
DO45189
85 years, female, NA, stage:2, alive, 1200 days
2135.4
DO48672
81 years, male, NA, stage:2, alive, 450 days
2130.2
DO45135
77 years, male, NA, stage:1, alive, 1410 days
2081.6
DO50793
76 years, male, NA, stage:4, alive, 540 days
2073.8
DO50839
47 years, female, NA, stage:3, alive, 330 days
2071.6
DO48732
73 years, male, NA, stage:3, alive, 630 days
2065.5
DO23543
63 years, male, NA, stage:2, alive, 1020 days
2037.3
DO48715
58 years, female, NA, stage:2, dead, 690 days
2029.3
DO48677
58 years, male, NA, stage:3, alive, 1140 days
2027.4
DO45231
84 years, male, NA, stage:2, alive, 930 days
2019.3
DO48751
68 years, male, NA, stage:2, dead, 480 days
1982.3
DO50783
62 years, male, NA, stage:3, alive, 480 days
1977.4
DO48733
72 years, male, NA, stage:2, alive, 600 days
1960.9
DO45297
61 years, female, NA, stage:4, dead, 1260 days
1913.0
DO50829
78 years, male, NA, stage:3, alive, 570 days
1911.6
DO45225
69 years, male, NA, stage:1, alive, 1050 days
1910.8
DO45229
74 years, male, NA, stage:1, alive, 990 days
1885.9
DO45211
76 years, male, NA, stage:3, alive, 240 days
1872.2
DO50800
74 years, male, NA, stage:2, alive, 510 days
1869.3
DO50822
66 years, male, NA, stage:2, alive, 510 days
1851.6
DO45243
74 years, female, NA, stage:3, alive, 930 days
1848.9
DO45275
65 years, male, NA, stage:3, dead, 10 days
1846.1
DO23533
61 years, male, NA, stage:2, alive, 900 days
1845.1
DO45103
47 years, male, NA, stage:3, alive, 450 days
1844.4
DO48728
74 years, female, NA, stage:2, alive, 150 days
1839.0
DO50805
72 years, male, NA, stage:2, alive, 690 days
1829.1
DO45157
62 years, male, NA, stage:2, alive, 1980 days
1807.0
DO45092
62 years, male, NA, stage:4, dead, 1200 days
1804.4
DO45253
50 years, male, NA, stage:2, alive, 870 days
1793.7
DO45199
86 years, female, NA, stage:2, alive, 1350 days
1789.0
DO23513
76 years, male, NA, stage:3, alive, 1200 days
1788.8
DO45141
73 years, male, NA, stage:2, alive, 1320 days
1766.2
DO45237
58 years, male, NA, stage:2, alive, 900 days
1757.4
DO45155
69 years, male, NA, stage:2, alive, 2160 days
1743.0
DO45207
68 years, male, NA, stage:1, alive, 1050 days
1737.3
DO48746
76 years, male, NA, stage:3, alive, 570 days
1730.1
DO48759
73 years, male, NA, stage:3, alive, 720 days
1728.4
DO48737
52 years, male, NA, stage:1, alive, 720 days
1726.2
DO45149
70 years, female, NA, stage:2, alive, 1260 days
1724.1
DO23549
74 years, male, NA, stage:3, alive, 990 days
1722.9
DO23514
64 years, male, NA, stage:2, alive, 1290 days
1714.7
DO48736
76 years, female, NA, stage:1, alive, 600 days
1670.0
DO23528
45 years, female, NA, stage:2, alive, 1020 days
1638.7
DO45203
71 years, female, NA, stage:2, alive, 1170 days
1607.7
DO48725
66 years, male, NA, stage:1, alive, 780 days
1589.6
DO45131
53 years, male, NA, stage:4, dead, 360 days
1582.6
DO23548
78 years, female, NA, stage:1, alive, 840 days
1577.5
DO48723
73 years, male, NA, stage:1, alive, 600 days
1573.1
DO45181
84 years, female, NA, stage:2, alive, 1200 days
1566.8
DO50840
49 years, male, NA, stage:2, alive, 330 days
1566.4
DO48719
80 years, male, NA, stage:2, alive, 690 days
1566.2
DO50813
56 years, male, NA, stage:2, alive, 420 days
1540.4
DO50776
75 years, male, NA, stage:1, alive, 690 days
1530.8
DO45173
63 years, male, NA, stage:3, alive, 1170 days
1523.0
DO45117
73 years, female, NA, stage:2, dead, 1110 days
1522.7
DO23537
79 years, male, NA, stage:2, dead, 900 days
1522.4
DO45179
78 years, female, NA, stage:2, alive, 600 days
1520.2
DO45221
75 years, female, NA, stage:4, dead, 390 days
1518.7
DO45233
83 years, male, NA, stage:3, alive, 900 days
1511.9
DO23539
77 years, male, NA, stage:1, alive, 1110 days
1507.7
DO48717
54 years, male, NA, stage:4, dead, 180 days
1494.4
DO45143
69 years, male, NA, stage:3, alive, 1290 days
1486.9
DO50820
77 years, female, NA, stage:3, alive, 510 days
1483.8
DO45177
81 years, female, NA, stage:3, alive, 1260 days
1479.8
DO45096
69 years, male, NA, stage:2, dead, 1290 days
1477.1
DO45187
32 years, female, NA, stage:1, alive, 1260 days
1455.5
DO23541
65 years, male, NA, stage:2, alive, 930 days
1451.1
DO48720
62 years, female, NA, stage:2, alive, 570 days
1450.4
DO45109
63 years, male, NA, stage:2, alive, 1590 days
1448.7
DO50857
72 years, male, NA, stage:2, alive, 210 days
1448.4
DO227801
77 years, female, NA, stage:1, alive, 660 days
1446.7
DO23540
73 years, male, NA, stage:1, alive, 750 days
1444.6
DO23551
73 years, male, NA, stage:3, dead, 150 days
1430.4
DO50804
81 years, male, NA, stage:2, alive, 720 days
1412.4
DO45213
58 years, male, NA, stage:1, alive, 1200 days
1410.8
DO45163
76 years, male, NA, stage:2, alive, 960 days
1399.1
DO50807
67 years, male, NA, stage:1, alive, 540 days
1398.5
DO23531
78 years, female, NA, stage:3, alive, 900 days
1391.5
DO45183
72 years, female, NA, stage:2, dead, 570 days
1386.9
DO23547
74 years, male, NA, stage:1, alive, 1020 days
1380.8
DO48674
80 years, male, NA, stage:2, alive, 1260 days
1373.5
DO50774
68 years, female, NA, stage:2, alive, 720 days
1371.0
DO45255
81 years, male, NA, stage:3, alive, 720 days
1370.7
DO48701
78 years, male, NA, stage:2, alive, 780 days
1365.8
DO50818
65 years, male, NA, stage:2, alive, 510 days
1359.9
DO45247
31 years, female, NA, stage:2, alive, 210 days
1349.5
DO23546
63 years, male, NA, stage:2, alive, 1050 days
1345.2
DO45239
42 years, male, NA, stage:2, alive, 870 days
1341.3
DO45241
49 years, male, NA, stage:1, alive, 1080 days
1338.8
DO23529
72 years, male, NA, stage:4, alive, 930 days
1315.1
DO50808
68 years, male, NA, stage:2, alive, 570 days
1314.8
DO23510
80 years, female, NA, stage:2, alive, 870 days
1304.9
DO50798
77 years, male, NA, stage:3, dead, 30 days
1300.4
DO48743
69 years, female, NA, stage:2, alive, 570 days
1275.8
DO45171
56 years, male, NA, stage:3, alive, 600 days
1271.5
DO23538
67 years, male, NA, stage:2, alive, 450 days
1262.3
DO50787
63 years, male, NA, stage:3, alive, 480 days
1259.3
DO50817
75 years, male, NA, stage:2, alive, 390 days
1242.9
DO48693
71 years, male, NA, stage:2, alive, 900 days
1238.1
DO23535
67 years, male, NA, stage:1, alive, 960 days
1231.6
DO50832
73 years, male, NA, stage:3, alive, 90 days
1230.6
DO45153
77 years, female, NA, stage:2, alive, 1380 days
1220.7
DO45191
61 years, female, NA, stage:2, alive, 1200 days
1219.5
DO50850
74 years, male, NA, stage:3, alive, 720 days
1219.0
DO48704
68 years, female, NA, stage:3, alive, 750 days
1218.1
DO45263
67 years, male, NA, stage:3, dead, 270 days
1215.2
DO23550
69 years, male, NA, stage:1, alive, 990 days
1197.6
DO227643
79 years, male, NA, stage:2, alive, 1260 days
1195.5
DO45159
65 years, male, NA, stage:3, alive, 1470 days
1183.1
DO48681
57 years, male, NA, stage:2, alive, 900 days
1176.8
DO50803
62 years, female, NA, stage:1, alive, 540 days
1174.0
DO50819
72 years, female, NA, stage:2, alive, 510 days
1172.3
DO45123
78 years, female, NA, stage:2, dead, 570 days
1171.4
DO45125
58 years, male, NA, stage:3, alive, 1680 days
1157.3
DO23544
67 years, male, NA, stage:2, alive, 960 days
1156.4
DO48679
72 years, male, NA, stage:2, alive, 1200 days
1152.7
DO50816
63 years, male, NA, stage:2, alive, 390 days
1150.9
DO48695
77 years, male, NA, stage:2, alive, 720 days
1127.4
DO23536
56 years, male, NA, stage:2, alive, 930 days
1097.5
DO23527
72 years, male, NA, stage:1, alive, 1050 days
1092.4
DO48742
76 years, male, NA, stage:2, alive, 600 days
1091.9
DO45223
67 years, male, NA, stage:4, alive, 1020 days
1088.8
DO48721
58 years, female, NA, stage:1, alive, 900 days
1080.6
DO45169
74 years, male, NA, stage:3, alive, 1350 days
1077.1
DO48727
81 years, female, NA, stage:2, dead, 390 days
1075.1
DO23517
62 years, male, NA, stage:2, alive, 1200 days
1073.7
DO45099
46 years, male, NA, stage:3, alive, 1590 days
1070.6
DO45215
65 years, male, NA, stage:2, alive, 1170 days
1067.7
DO45235
68 years, female, NA, stage:1, alive, 900 days
1059.1
DO48700
78 years, female, NA, stage:2, alive, 810 days
1037.5
DO45197
51 years, male, NA, stage:2, alive, 1170 days
1033.3
DO45121
61 years, male, NA, stage:3, alive, 1530 days
1030.2
DO48716
71 years, male, NA, stage:2, alive, 720 days
1027.9
DO45201
49 years, male, NA, stage:1, alive, 900 days
1022.8
DO23534
60 years, male, NA, stage:2, alive, 840 days
1022.6
DO48760
70 years, female, NA, stage:2, alive, 690 days
1020.6
DO45119
74 years, male, NA, stage:3, dead, 510 days
1004.2
DO45245
75 years, female, NA, stage:2, dead, 240 days
980.0
DO45195
62 years, male, NA, stage:1, alive, 390 days
939.4
DO45137
38 years, male, NA, stage:1, alive, 1320 days
925.5
DO23518
67 years, male, NA, stage:2, alive, 1320 days
924.8
DO45094
76 years, male, NA, stage:3, alive, 1650 days
919.6
DO45133
64 years, male, NA, stage:3, dead, 660 days
896.2
DO45115
81 years, male, NA, stage:2, alive, 840 days
878.1
DO45227
57 years, female, NA, stage:2, alive, 1020 days
864.9
DO45257
46 years, male, NA, stage:3, alive, 810 days
856.3
DO45175
74 years, male, NA, stage:2, alive, 1140 days
852.2
DO45113
58 years, male, NA, stage:3, alive, 1560 days
844.1
DO23512
60 years, male, NA, stage:1, alive, 1260 days
829.6
DO45091
56 years, male, NA, stage:2, dead, 1320 days
822.3
DO23524
71 years, female, NA, stage:2, alive, 1050 days
805.8
DO50789
73 years, female, NA, stage:2, alive, 570 days
790.0
DO45107
63 years, female, NA, stage:2, alive, 1710 days
786.8
DO23532
71 years, female, NA, stage:1, alive, 960 days
770.3
DO45101
63 years, male, NA, stage:2, alive, 1680 days
757.4
DO50825
70 years, male, NA, stage:2, alive, 390 days
750.5
DO23552
80 years, female, NA, stage:1, alive, 810 days
718.5
DO45111
74 years, male, NA, stage:2, alive, 1590 days
683.7
DO48761
55 years, male, NA, stage:2, alive, 870 days
660.0
DO45105
61 years, male, NA, stage:1, alive, 1680 days
597.4
DO45129
61 years, male, NA, stage:3, alive, 1470 days
592.7
DO23509
60 years, male, NA, stage:3, dead, 780 days
566.4
DO50845
72 years, male, NA, stage:3, alive, 210 days
513.8
DO45167
67 years, male, NA, stage:2, dead, 1440 days
303.9
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
537
Tumor
0.5
557
Tumor
0.4
285
Tumor
0.4
567
Tumor
0.4
367
Tumor
0.4
223
Tumor
0.4
965
Tumor
0.3
815
Tumor
0.3
523
Tumor
0.3
937
Tumor
0.3
135
Tumor
0.3
467
Tumor
0.3
851
Tumor
0.3
131
Tumor
0.3
227
Tumor
0.3
327
Tumor
0.3
1021
Tumor
0.3
353
Tumor
0.2
743
Tumor
0.2
113
Tumor
0.2
685
Tumor
0.2
661
Tumor
0.2
955
Tumor
0.2
545
Tumor
0.2
393
Tumor
0.2
395
Tumor
0.2
413
Tumor
0.2
517
Tumor
0.2
515
Tumor
0.2
983
Tumor
0.2
331
Tumor
0.2
864
Normal
0.2
938
Normal
0.2
443
Tumor
0.1
497
Tumor
0.1
865
Tumor
0.1
516
Normal
0.1
385
Tumor
0.1
451
Tumor
0.1
967
Tumor
0.1
525
Tumor
0.1
648
Normal
0.1
1027
Tumor
0.1
228
Normal
0.1
981
Tumor
0.1
466
Normal
0.1
286
Normal
0.1
332
Normal
0.1
267
Tumor
0.1
526
Normal
0.1
527
Tumor
0.1
484
Normal
0.1
756
Normal
0.1
452
Normal
0.1
358
Normal
0.1
356
Normal
0.1
944
Normal
0.1
493
Tumor
0.1
518
Normal
0.1
824
Normal
0.1
663
Tumor
0.1
951
Tumor
0.1
387
Tumor
0.1
257
Tumor
0.1
481
Tumor
0.1
666
Normal
0.1
786
Normal
0.1
662
Normal
0.1
514
Normal
0.1
778
Normal
0.1
943
Tumor
0.1
436
Normal
0.1
147
Tumor
0.1
222
Normal
0.1
214
Normal
0.1
524
Normal
0.1
966
Normal
0.1
487
Tumor
0.1
636
Normal
0.1
196
Normal
0.1
745
Tumor
0.1
852
Normal
0.1
671
Tumor
0.1
554
Normal
0.1
114
Normal
0.1
123
Tumor
0.1
862
Normal
0.1
952
Normal
0.1
728
Normal
0.1
128
Normal
0.1
724
Normal
0.1
664
Normal
0.1
912
Normal
0.1
777
Tumor
0.1
212
Normal
0.1
492
Normal
0.1
462
Normal
0.1
738
Normal
0.1
817
Tumor
0.1
533
Tumor
0.1
112
Tumor
0.1
956
Normal
0.1
1016
Normal
0.1
433
Tumor
0.1
258
Normal
0.1
1026
Normal
0.1
142
Normal
0.1
858
Normal
0.1
448
Normal
0.1
314
Normal
0.1
713
Tumor
0.1
213
Tumor
0.0
513
Tumor
0.0
488
Normal
0.0
425
Tumor
0.0
187
Tumor
0.0
923
Tumor
0.0
224
Normal
0.0
278
Normal
0.0
964
Normal
0.0
218
Normal
0.0
528
Normal
0.0
737
Tumor
0.0
968
Normal
0.0
434
Normal
0.0
421
Tumor
0.0
124
Normal
0.0
698
Normal
0.0
111
Normal
0.0
351
Tumor
0.0
546
Normal
0.0
342
Normal
0.0
328
Normal
0.0
866
Normal
0.0
494
Normal
0.0
195
Tumor
0.0
136
Normal
0.0
431
Tumor
0.0
696
Normal
0.0
873
Tumor
0.0
746
Normal
0.0
483
Tumor
0.0
953
Tumor
0.0
617
Tumor
0.0
284
Normal
0.0
357
Tumor
0.0
132
Normal
0.0
172
Normal
0.0
186
Normal
0.0
535
Tumor
0.0
727
Tumor
0.0
461
Tumor
0.0
922
Normal
0.0
715
Tumor
0.0
877
Tumor
0.0
455
Tumor
0.0
137
Tumor
0.0
221
Tumor
0.0
816
Normal
0.0
918
Normal
0.0
271
Tumor
0.0
954
Normal
0.0
463
Tumor
0.0
975
Tumor
0.0
422
Normal
0.0
868
Normal
0.0
1025
Tumor
0.0
217
Tumor
0.0
138
Normal
0.0
618
Normal
0.0
697
Tumor
0.0
232
Normal
0.0
364
Normal
0.0
171
Tumor
0.0
755
Tumor
0.0
185
Tumor
0.0
553
Tumor
0.0
878
Normal
0.0
564
Normal
0.0
474
Normal
0.0
343
Tumor
0.0
191
Tumor
0.0
926
Normal
0.0
1015
Tumor
0.0
283
Tumor
0.0
818
Normal
0.0
914
Normal
0.0
744
Normal
0.0
874
Normal
0.0
272
Normal
0.0
976
Normal
0.0
573
Tumor
0.0
861
Tumor
0.0
298
Normal
0.0
742
Normal
0.0
722
Normal
0.0
1014
Normal
0.0
924
Normal
0.0
145
Tumor
0.0
785
Tumor
0.0
984
Normal
0.0
146
Normal
0.0
231
Tumor
0.0
471
Tumor
0.0
957
Tumor
0.0
574
Normal
0.0
277
Tumor
0.0
686
Normal
0.0
428
Normal
0.0
411
Tumor
0.0
534
Normal
0.0
412
Normal
0.0
416
Normal
0.0
344
Normal
0.0
884
Normal
0.0
341
Tumor
0.0
1028
Normal
0.0
714
Normal
0.0
464
Normal
0.0
446
Normal
0.0
363
Tumor
0.0
456
Normal
0.0
665
Tumor
0.0
262
Normal
0.0
982
Normal
0.0
571
Tumor
0.0
376
Normal
0.0
362
Normal
-0.1
978
Normal
-0.1
188
Normal
-0.1
445
Tumor
-0.1
857
Tumor
-0.1
392
Normal
-0.1
921
Tumor
-0.1
1043
Tumor
-0.1
427
Tumor
-0.1
313
Tumor
-0.1
813
Tumor
-0.1
867
Tumor
-0.1
465
Tumor
-0.1
468
Normal
-0.1
375
Tumor
-0.1
432
Normal
-0.1
1031
Tumor
-0.1
963
Tumor
-0.1
127
Tumor
-0.1
491
Tumor
-0.1
414
Normal
-0.1
721
Tumor
-0.1
126
Normal
-0.1
642
Normal
-0.1
261
Tumor
-0.1
472
Normal
-0.1
882
Normal
-0.1
477
Tumor
-0.1
447
Tumor
-0.1
268
Normal
-0.1
538
Normal
-0.1
482
Normal
-0.1
1022
Normal
-0.1
925
Tumor
-0.1
647
Tumor
-0.1
568
Normal
-0.1
672
Normal
-0.1
913
Tumor
-0.1
424
Normal
-0.1
352
Normal
-0.1
1046
Normal
-0.1
312
Normal
-0.1
211
Tumor
-0.1
814
Normal
-0.1
125
Tumor
-0.1
192
Normal
-0.1
162
Normal
-0.1
141
Tumor
-0.1
917
Tumor
-0.1
558
Normal
-0.1
435
Tumor
-0.1
881
Tumor
-0.1
148
Normal
-0.1
635
Tumor
-0.1
716
Normal
-0.1
572
Normal
-0.1
628
Normal
-0.1
355
Tumor
-0.1
161
Tumor
-0.1
958
Normal
-0.1
1044
Normal
-0.1
695
Tumor
-0.1
426
Normal
-0.1
297
Tumor
-0.1
916
Normal
-0.1
915
Tumor
-0.1
883
Tumor
-0.2
723
Tumor
-0.2
423
Tumor
-0.2
563
Tumor
-0.2
536
Normal
-0.2
415
Tumor
-0.2
365
Tumor
-0.2
615
Tumor
-0.2
394
Normal
-0.2
977
Tumor
-0.2
388
Normal
-0.2
1032
Normal
-0.2
396
Normal
-0.2
311
Tumor
-0.2
354
Normal
-0.2
823
Tumor
-0.2
361
Tumor
-0.2
366
Normal
-0.2
1013
Tumor
-0.2
478
Normal
-0.2
384
Normal
-0.2
1042
Normal
-0.2
616
Normal
-0.2
863
Tumor
-0.2
386
Normal
-0.2
391
Tumor
-0.2
444
Normal
-0.2
368
Normal
-0.3
498
Normal
-0.3
911
Tumor
-0.3
473
Tumor
-0.3
627
Tumor
-0.3
383
Tumor
-0.3
1041
Tumor
-0.4
741
Tumor
-0.4
1045
Tumor
-0.4
641
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.