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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.
EEF2 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.
: 1.63
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.0028
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.
41%
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.
55%
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 TPM
708.2
Number of samples
362
Samples
Sample
Description
TPM
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
3263.0
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
2792.8
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
2472.9
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
2451.5
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
2442.1
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
1985.5
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
1910.9
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
1790.0
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
1727.0
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
1671.2
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
1630.5
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
1611.4
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
1556.5
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
1534.2
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1531.6
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
1496.8
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
1496.4
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
1457.0
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
1456.3
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
1453.9
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
1390.4
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
1389.5
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
1371.7
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
1348.2
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
1328.1
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
1265.7
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
1256.8
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
1242.6
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
1194.7
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
1183.9
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
1180.8
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
1169.9
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
1157.2
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
1153.8
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
1152.2
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
1146.3
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
1140.0
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
1135.7
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
1135.4
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
1114.7
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
1104.9
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
1103.6
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
1100.6
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
1097.1
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
1086.6
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
1084.2
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
1083.2
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
1066.0
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
1047.3
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
1041.5
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
1039.1
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
1031.3
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
1026.2
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
1012.3
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
1010.4
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
1005.1
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
1004.6
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
1003.4
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
1003.1
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
996.0
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
987.5
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
982.2
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
981.7
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
966.7
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
964.7
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
958.3
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
954.6
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
951.0
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
949.1
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
945.2
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
935.6
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
934.7
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
931.9
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
928.0
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
904.6
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
898.2
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
890.9
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
885.1
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
885.1
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
876.2
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
874.7
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
867.2
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
852.6
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
852.1
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
844.2
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
843.3
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
840.5
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
837.1
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
829.7
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
829.1
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
827.6
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
822.3
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
816.4
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
810.3
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
809.3
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
794.9
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
792.9
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
792.5
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
791.0
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
788.5
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
787.8
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
781.0
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
776.2
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
775.6
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
770.5
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
767.7
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
767.5
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
761.0
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
758.7
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
754.9
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
746.7
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
745.2
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
745.0
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
744.5
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
743.1
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
742.7
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
742.1
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
739.6
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
736.3
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
735.8
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
735.8
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
735.3
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
727.2
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
722.8
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
722.7
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
722.4
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
721.3
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
718.4
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
717.6
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
714.7
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
714.6
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
711.9
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
710.0
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
708.2
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
706.3
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
702.2
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
699.8
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
698.2
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
692.9
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
689.6
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
688.1
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
683.4
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
683.4
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
682.3
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
682.1
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
679.4
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
675.0
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
674.8
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
674.6
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
673.4
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
670.8
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
669.2
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
665.5
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
664.8
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
664.2
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
663.2
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
660.5
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
659.1
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
658.8
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
657.3
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
654.7
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
649.2
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
647.3
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
643.4
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
637.5
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
637.4
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
632.8
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
631.8
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
629.7
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
626.5
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
626.4
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
621.4
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
620.3
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
620.3
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
619.1
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
617.2
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
615.2
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
614.5
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
610.4
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
610.2
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
608.8
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
605.3
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
605.2
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
603.3
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
602.9
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
599.9
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
595.5
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
594.5
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
594.1
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
593.0
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
592.4
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
591.2
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
586.4
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
581.4
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
579.7
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
578.6
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
577.1
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
574.5
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
573.2
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
572.8
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
572.0
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
570.7
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
569.8
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
565.6
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
564.3
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
562.8
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
562.4
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
560.9
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
558.2
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
557.3
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
551.8
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
551.3
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
550.8
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
550.5
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
546.4
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
546.2
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
544.8
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
544.2
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
541.7
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
538.5
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
537.8
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
537.2
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
536.3
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
536.1
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
535.8
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
535.6
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
535.1
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
533.5
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
532.1
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
530.9
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
530.1
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
530.1
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
529.4
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
527.7
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
526.7
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
524.8
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
524.0
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
522.2
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
522.0
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
520.7
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
519.1
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
518.9
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
516.1
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
512.3
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
511.4
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
511.3
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
510.7
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
510.4
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
509.7
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
507.1
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
505.6
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
503.3
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
502.6
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
501.2
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
499.8
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
499.6
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
499.0
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
498.7
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
490.4
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
488.0
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
485.7
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
484.1
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
482.2
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
481.7
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
477.9
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
477.0
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
475.2
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
474.9
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
474.6
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
467.2
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
465.2
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
464.8
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
454.4
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
454.2
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
453.8
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
449.9
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
445.9
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
445.8
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
444.6
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
443.7
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
440.4
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
440.3
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
439.7
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
435.6
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
430.8
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
430.7
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
429.7
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
429.0
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
428.9
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
427.9
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
426.6
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
425.6
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
423.1
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
422.4
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
421.2
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
416.6
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
416.4
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
412.8
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
411.9
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
411.3
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
410.3
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
410.1
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
407.0
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
406.2
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
403.4
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
401.4
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
400.9
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
400.9
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
398.0
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
394.9
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
394.7
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
394.1
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
385.9
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
385.1
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
384.9
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
380.8
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
375.5
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
372.0
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
370.2
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
368.4
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
358.9
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
354.9
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
354.9
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
354.7
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
354.4
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
354.4
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
353.3
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
352.8
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
352.8
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
351.1
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
347.0
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
343.2
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
342.9
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
340.0
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
339.8
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
335.5
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
333.6
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
333.2
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
329.4
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
329.0
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
325.1
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
321.4
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
319.6
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
317.1
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
316.4
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
313.2
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
309.9
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
308.6
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
306.9
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
300.6
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
298.3
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
294.0
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
290.1
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
288.2
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
287.2
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
278.1
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
272.4
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
267.7
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
267.4
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
253.5
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
251.5
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 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.
EEF2 is not prognostic in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 2.14
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.0068
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.
60%
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.
68%
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 TPM
427.5
Number of samples
231
Samples
Sample
Description
TPM
DO45189
85 years, female, NA, stage:2, alive, 1200 days
1255.9
DO45303
62 years, female, NA, stage:3, alive, 990 days
1177.3
DO48751
68 years, male, NA, stage:2, dead, 480 days
1151.9
DO48682
72 years, female, NA, stage:3, dead, 120 days
1122.2
DO45093
71 years, male, NA, stage:2, dead, 720 days
1020.6
DO48730
73 years, female, NA, stage:2, alive, 630 days
955.8
DO23545
67 years, male, NA, stage:2, dead, 570 days
933.5
DO45209
70 years, male, NA, stage:4, alive, 1350 days
909.5
DO45305
66 years, male, NA, stage:4, alive, 300 days
878.5
DO48727
81 years, female, NA, stage:2, dead, 390 days
869.1
DO23515
71 years, male, NA, stage:2, alive, 1230 days
863.8
DO50802
49 years, male, NA, stage:2, alive, 930 days
797.7
DO50793
76 years, male, NA, stage:4, alive, 540 days
787.9
DO45237
58 years, male, NA, stage:2, alive, 900 days
757.7
DO48715
58 years, female, NA, stage:2, dead, 690 days
746.2
DO50857
72 years, male, NA, stage:2, alive, 210 days
724.2
DO45217
69 years, female, NA, stage:3, dead, 270 days
719.8
DO45279
67 years, male, NA, stage:3, alive, 1290 days
706.4
DO23528
45 years, female, NA, stage:2, alive, 1020 days
704.0
DO45175
74 years, male, NA, stage:2, alive, 1140 days
701.4
DO48706
72 years, male, NA, stage:2, alive, 870 days
692.0
DO23516
69 years, male, NA, stage:3, dead, 20 days
687.0
DO50822
66 years, male, NA, stage:2, alive, 510 days
673.1
DO50859
77 years, male, NA, stage:2, alive, 180 days
670.5
DO45187
32 years, female, NA, stage:1, alive, 1260 days
663.8
DO45231
84 years, male, NA, stage:2, alive, 930 days
650.9
DO23538
67 years, male, NA, stage:2, alive, 450 days
645.3
DO45299
70 years, female, NA, stage:1, alive, 1440 days
625.9
DO48695
77 years, male, NA, stage:2, alive, 720 days
616.8
DO45191
61 years, female, NA, stage:2, alive, 1200 days
612.6
DO45221
75 years, female, NA, stage:4, dead, 390 days
611.5
DO23530
53 years, male, NA, stage:4, dead, 180 days
607.1
DO23542
66 years, male, NA, stage:3, alive, 960 days
605.4
DO45193
68 years, female, NA, stage:4, dead, 120 days
603.5
DO45259
65 years, male, NA, stage:3, alive, 330 days
603.4
DO45239
42 years, male, NA, stage:2, alive, 870 days
602.0
DO50804
81 years, male, NA, stage:2, alive, 720 days
597.8
DO45171
56 years, male, NA, stage:3, alive, 600 days
584.6
DO23536
56 years, male, NA, stage:2, alive, 930 days
577.3
DO45203
71 years, female, NA, stage:2, alive, 1170 days
570.4
DO45127
73 years, male, NA, stage:3, dead, 420 days
566.7
DO45129
61 years, male, NA, stage:3, alive, 1470 days
564.9
DO50844
75 years, male, NA, stage:4, alive, 300 days
563.2
DO48737
52 years, male, NA, stage:1, alive, 720 days
559.1
DO45157
62 years, male, NA, stage:2, alive, 1980 days
557.6
DO50809
56 years, male, NA, stage:3, dead, 720 days
557.4
DO48719
80 years, male, NA, stage:2, alive, 690 days
553.1
DO45163
76 years, male, NA, stage:2, alive, 960 days
544.3
DO45199
86 years, female, NA, stage:2, alive, 1350 days
540.8
DO45289
78 years, female, NA, stage:3, alive, 360 days
540.5
DO48732
73 years, male, NA, stage:3, alive, 630 days
532.1
DO45091
56 years, male, NA, stage:2, dead, 1320 days
530.0
DO23525
71 years, male, NA, stage:4, alive, 1050 days
529.6
DO48720
62 years, female, NA, stage:2, alive, 570 days
528.8
DO50778
60 years, male, NA, stage:4, alive, 630 days
527.1
DO45205
67 years, female, NA, stage:2, dead, 90 days
526.7
DO45169
74 years, male, NA, stage:3, alive, 1350 days
523.6
DO45121
61 years, male, NA, stage:3, alive, 1530 days
521.8
DO45307
54 years, female, NA, stage:4, dead, 240 days
520.7
DO45139
63 years, male, NA, stage:3, alive, 1320 days
517.8
DO23537
79 years, male, NA, stage:2, dead, 900 days
517.1
DO45249
57 years, male, NA, stage:1, alive, 630 days
516.2
DO48677
58 years, male, NA, stage:3, alive, 1140 days
511.5
DO48697
64 years, female, NA, stage:2, dead, 810 days
502.5
DO45287
74 years, male, NA, stage:1, alive, 390 days
501.5
DO23529
72 years, male, NA, stage:4, alive, 930 days
498.9
DO45135
77 years, male, NA, stage:1, alive, 1410 days
496.2
DO50820
77 years, female, NA, stage:3, alive, 510 days
495.8
DO45117
73 years, female, NA, stage:2, dead, 1110 days
490.6
DO45251
57 years, female, NA, stage:2, alive, 900 days
486.1
DO45247
31 years, female, NA, stage:2, alive, 210 days
486.1
DO50819
72 years, female, NA, stage:2, alive, 510 days
484.0
DO45283
60 years, male, NA, stage:3, alive, 510 days
483.2
DO48733
72 years, male, NA, stage:2, alive, 600 days
482.0
DO50806
70 years, male, NA, stage:4, alive, 540 days
478.5
DO45131
53 years, male, NA, stage:4, dead, 360 days
477.9
DO45165
75 years, male, NA, stage:2, alive, 690 days
473.6
DO50855
47 years, male, NA, stage:2, alive, 570 days
471.3
DO50787
63 years, male, NA, stage:3, alive, 480 days
471.1
DO45213
58 years, male, NA, stage:1, alive, 1200 days
471.0
DO48736
76 years, female, NA, stage:1, alive, 600 days
470.8
DO45275
65 years, male, NA, stage:3, dead, 10 days
470.6
DO50785
37 years, male, NA, stage:4, dead, 90 days
459.8
DO50814
83 years, male, NA, stage:3, alive, 420 days
455.2
DO45285
59 years, male, NA, stage:3, alive, 480 days
454.5
DO50825
70 years, male, NA, stage:2, alive, 390 days
440.1
DO45179
78 years, female, NA, stage:2, alive, 600 days
438.5
DO23519
65 years, male, NA, stage:3, alive, 630 days
433.6
DO50818
65 years, male, NA, stage:2, alive, 510 days
430.2
DO45269
59 years, male, NA, stage:3, alive, 750 days
429.5
DO48757
68 years, female, NA, stage:3, alive, 480 days
424.8
DO45227
57 years, female, NA, stage:2, alive, 1020 days
423.3
DO50850
74 years, male, NA, stage:3, alive, 720 days
423.2
DO45233
83 years, male, NA, stage:3, alive, 900 days
419.9
DO45155
69 years, male, NA, stage:2, alive, 2160 days
419.3
DO45095
66 years, male, NA, stage:2, alive, 1620 days
418.3
DO50840
49 years, male, NA, stage:2, alive, 330 days
417.7
DO50816
63 years, male, NA, stage:2, alive, 390 days
411.2
DO50783
62 years, male, NA, stage:3, alive, 480 days
410.4
DO23533
61 years, male, NA, stage:2, alive, 900 days
410.0
DO50805
72 years, male, NA, stage:2, alive, 690 days
406.9
DO45297
61 years, female, NA, stage:4, dead, 1260 days
406.3
DO23521
63 years, male, NA, stage:3, alive, 1110 days
404.7
DO48700
78 years, female, NA, stage:2, alive, 810 days
403.1
DO50774
68 years, female, NA, stage:2, alive, 720 days
400.3
DO45119
74 years, male, NA, stage:3, dead, 510 days
399.6
DO23510
80 years, female, NA, stage:2, alive, 870 days
399.1
DO45241
49 years, male, NA, stage:1, alive, 1080 days
398.7
DO48747
62 years, male, NA, stage:3, alive, 540 days
397.6
DO45223
67 years, male, NA, stage:4, alive, 1020 days
396.4
DO45097
69 years, male, NA, stage:3, alive, 1620 days
395.3
DO50807
67 years, male, NA, stage:1, alive, 540 days
392.2
DO50800
74 years, male, NA, stage:2, alive, 510 days
390.4
DO45103
47 years, male, NA, stage:3, alive, 450 days
389.9
DO45177
81 years, female, NA, stage:3, alive, 1260 days
388.2
DO50799
66 years, female, NA, stage:2, alive, 540 days
385.6
DO48717
54 years, male, NA, stage:4, dead, 180 days
385.3
DO45094
76 years, male, NA, stage:3, alive, 1650 days
384.0
DO45219
78 years, male, NA, stage:2, alive, 1080 days
383.5
DO50811
62 years, male, NA, stage:1, alive, 450 days
382.9
DO48712
50 years, male, NA, stage:2, alive, 810 days
382.8
DO45301
56 years, male, NA, stage:2, dead, 1440 days
381.7
DO45183
72 years, female, NA, stage:2, dead, 570 days
380.7
DO45211
76 years, male, NA, stage:3, alive, 240 days
375.5
DO45133
64 years, male, NA, stage:3, dead, 660 days
375.2
DO50791
79 years, female, NA, stage:1, dead, 480 days
373.7
DO45173
63 years, male, NA, stage:3, alive, 1170 days
372.5
DO45159
65 years, male, NA, stage:3, alive, 1470 days
371.9
DO45141
73 years, male, NA, stage:2, alive, 1320 days
371.6
DO45111
74 years, male, NA, stage:2, alive, 1590 days
371.2
DO45261
74 years, male, NA, stage:3, alive, 990 days
370.2
DO48679
72 years, male, NA, stage:2, alive, 1200 days
368.9
DO23535
67 years, male, NA, stage:1, alive, 960 days
364.5
DO45263
67 years, male, NA, stage:3, dead, 270 days
363.6
DO48742
76 years, male, NA, stage:2, alive, 600 days
361.1
DO45125
58 years, male, NA, stage:3, alive, 1680 days
356.5
DO50815
62 years, male, NA, stage:3, alive, 150 days
355.1
DO48704
68 years, female, NA, stage:3, alive, 750 days
348.3
DO48746
76 years, male, NA, stage:3, alive, 570 days
348.0
DO45161
74 years, male, NA, stage:2, dead, 540 days
345.3
DO23523
52 years, male, NA, stage:3, alive, 1080 days
345.2
DO45267
73 years, male, NA, stage:3, dead, 570 days
343.3
DO45109
63 years, male, NA, stage:2, alive, 1590 days
340.4
DO48760
70 years, female, NA, stage:2, alive, 690 days
338.2
DO45201
49 years, male, NA, stage:1, alive, 900 days
332.4
DO48759
73 years, male, NA, stage:3, alive, 720 days
332.3
DO23513
76 years, male, NA, stage:3, alive, 1200 days
331.9
DO23527
72 years, male, NA, stage:1, alive, 1050 days
330.2
DO45225
69 years, male, NA, stage:1, alive, 1050 days
327.8
DO48701
78 years, male, NA, stage:2, alive, 780 days
327.2
DO50829
78 years, male, NA, stage:3, alive, 570 days
327.2
DO48716
71 years, male, NA, stage:2, alive, 720 days
326.6
DO23541
65 years, male, NA, stage:2, alive, 930 days
321.8
DO45149
70 years, female, NA, stage:2, alive, 1260 days
317.9
DO50839
47 years, female, NA, stage:3, alive, 330 days
317.0
DO45143
69 years, male, NA, stage:3, alive, 1290 days
316.3
DO45153
77 years, female, NA, stage:2, alive, 1380 days
315.9
DO45273
62 years, male, NA, stage:2, alive, 480 days
314.5
DO45137
38 years, male, NA, stage:1, alive, 1320 days
314.3
DO45197
51 years, male, NA, stage:2, alive, 1170 days
313.7
DO50776
75 years, male, NA, stage:1, alive, 690 days
311.5
DO45099
46 years, male, NA, stage:3, alive, 1590 days
310.2
DO45115
81 years, male, NA, stage:2, alive, 840 days
309.1
DO45123
78 years, female, NA, stage:2, dead, 570 days
308.6
DO45101
63 years, male, NA, stage:2, alive, 1680 days
304.3
DO45181
84 years, female, NA, stage:2, alive, 1200 days
304.1
DO45207
68 years, male, NA, stage:1, alive, 1050 days
303.7
DO23549
74 years, male, NA, stage:3, alive, 990 days
301.5
DO50813
56 years, male, NA, stage:2, alive, 420 days
295.7
DO48693
71 years, male, NA, stage:2, alive, 900 days
294.9
DO45257
46 years, male, NA, stage:3, alive, 810 days
294.4
DO50832
73 years, male, NA, stage:3, alive, 90 days
292.4
DO45255
81 years, male, NA, stage:3, alive, 720 days
289.8
DO48721
58 years, female, NA, stage:1, alive, 900 days
288.2
DO48681
57 years, male, NA, stage:2, alive, 900 days
287.9
DO23543
63 years, male, NA, stage:2, alive, 1020 days
282.7
DO45281
83 years, male, NA, stage:4, alive, 750 days
282.5
DO23551
73 years, male, NA, stage:3, dead, 150 days
282.4
DO23524
71 years, female, NA, stage:2, alive, 1050 days
277.9
DO48741
64 years, male, NA, stage:3, alive, 240 days
273.5
DO50817
75 years, male, NA, stage:2, alive, 390 days
272.3
DO45113
58 years, male, NA, stage:3, alive, 1560 days
271.5
DO23532
71 years, female, NA, stage:1, alive, 960 days
269.0
DO23511
83 years, female, NA, stage:3, dead, 180 days
269.0
DO48723
73 years, male, NA, stage:1, alive, 600 days
268.6
DO23539
77 years, male, NA, stage:1, alive, 1110 days
265.4
DO50803
62 years, female, NA, stage:1, alive, 540 days
265.0
DO48674
80 years, male, NA, stage:2, alive, 1260 days
263.8
DO23508
79 years, female, NA, stage:2, alive, 390 days
263.6
DO23544
67 years, male, NA, stage:2, alive, 960 days
258.5
DO23548
78 years, female, NA, stage:1, alive, 840 days
257.1
DO48728
74 years, female, NA, stage:2, alive, 150 days
256.6
DO45195
62 years, male, NA, stage:1, alive, 390 days
255.6
DO45096
69 years, male, NA, stage:2, dead, 1290 days
253.6
DO50845
72 years, male, NA, stage:3, alive, 210 days
251.4
DO23547
74 years, male, NA, stage:1, alive, 1020 days
249.8
DO23540
73 years, male, NA, stage:1, alive, 750 days
248.1
DO45243
74 years, female, NA, stage:3, alive, 930 days
245.9
DO45265
73 years, male, NA, stage:3, alive, 1020 days
245.5
DO48672
81 years, male, NA, stage:2, alive, 450 days
244.5
DO23546
63 years, male, NA, stage:2, alive, 1050 days
242.1
DO23526
66 years, male, NA, stage:3, alive, 1050 days
238.9
DO45092
62 years, male, NA, stage:4, dead, 1200 days
236.7
DO48761
55 years, male, NA, stage:2, alive, 870 days
235.9
DO227801
77 years, female, NA, stage:1, alive, 660 days
234.7
DO45229
74 years, male, NA, stage:1, alive, 990 days
233.1
DO48743
69 years, female, NA, stage:2, alive, 570 days
232.2
DO23514
64 years, male, NA, stage:2, alive, 1290 days
230.4
DO23512
60 years, male, NA, stage:1, alive, 1260 days
228.7
DO45235
68 years, female, NA, stage:1, alive, 900 days
228.0
DO23552
80 years, female, NA, stage:1, alive, 810 days
225.6
DO45215
65 years, male, NA, stage:2, alive, 1170 days
225.3
DO48725
66 years, male, NA, stage:1, alive, 780 days
225.0
DO23531
78 years, female, NA, stage:3, alive, 900 days
223.1
DO45277
64 years, male, NA, stage:3, alive, 600 days
223.1
DO23534
60 years, male, NA, stage:2, alive, 840 days
218.8
DO227643
79 years, male, NA, stage:2, alive, 1260 days
217.1
DO45245
75 years, female, NA, stage:2, dead, 240 days
217.0
DO45185
89 years, male, NA, stage:2, alive, 600 days
201.7
DO45107
63 years, female, NA, stage:2, alive, 1710 days
200.9
DO45145
78 years, male, NA, stage:3, dead, 60 days
196.9
DO45253
50 years, male, NA, stage:2, alive, 870 days
196.5
DO23518
67 years, male, NA, stage:2, alive, 1320 days
192.4
DO23517
62 years, male, NA, stage:2, alive, 1200 days
180.4
DO50789
73 years, female, NA, stage:2, alive, 570 days
179.9
DO45105
61 years, male, NA, stage:1, alive, 1680 days
177.4
DO50808
68 years, male, NA, stage:2, alive, 570 days
174.4
DO50798
77 years, male, NA, stage:3, dead, 30 days
166.2
DO23509
60 years, male, NA, stage:3, dead, 780 days
135.6
DO23550
69 years, male, NA, stage:1, alive, 990 days
132.9
DO45167
67 years, male, NA, stage:2, dead, 1440 days
125.3
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
395
Tumor
0.6
223
Tumor
0.6
851
Tumor
0.5
815
Tumor
0.5
697
Tumor
0.4
777
Tumor
0.4
685
Tumor
0.4
285
Tumor
0.4
1027
Tumor
0.3
267
Tumor
0.3
393
Tumor
0.3
567
Tumor
0.3
327
Tumor
0.3
331
Tumor
0.2
527
Tumor
0.2
557
Tumor
0.2
187
Tumor
0.2
367
Tumor
0.2
728
Normal
0.2
135
Tumor
0.2
286
Normal
0.2
211
Tumor
0.2
518
Normal
0.2
865
Tumor
0.2
537
Tumor
0.2
443
Tumor
0.2
955
Tumor
0.2
227
Tumor
0.2
113
Tumor
0.2
515
Tumor
0.2
513
Tumor
0.2
724
Normal
0.2
447
Tumor
0.2
436
Normal
0.2
353
Tumor
0.2
222
Normal
0.2
786
Normal
0.1
1026
Normal
0.1
617
Tumor
0.1
114
Normal
0.1
314
Normal
0.1
738
Normal
0.1
966
Normal
0.1
742
Normal
0.1
111
Normal
0.1
212
Normal
0.1
136
Normal
0.1
917
Tumor
0.1
462
Normal
0.1
824
Normal
0.1
746
Normal
0.1
1016
Normal
0.1
394
Normal
0.1
743
Tumor
0.1
978
Normal
0.1
953
Tumor
0.1
125
Tumor
0.1
982
Normal
0.1
422
Normal
0.1
332
Normal
0.1
128
Normal
0.1
145
Tumor
0.1
1044
Normal
0.1
186
Normal
0.1
356
Normal
0.1
448
Normal
0.1
228
Normal
0.1
858
Normal
0.1
375
Tumor
0.1
474
Normal
0.1
482
Normal
0.1
196
Normal
0.1
481
Tumor
0.1
414
Normal
0.1
816
Normal
0.1
362
Normal
0.1
472
Normal
0.1
755
Tumor
0.1
913
Tumor
0.1
298
Normal
0.1
432
Normal
0.1
272
Normal
0.1
463
Tumor
0.1
573
Tumor
0.1
864
Normal
0.1
412
Normal
0.1
737
Tumor
0.1
785
Tumor
0.1
627
Tumor
0.1
756
Normal
0.1
862
Normal
0.1
926
Normal
0.1
162
Normal
0.1
852
Normal
0.1
745
Tumor
0.1
392
Normal
0.1
484
Normal
0.1
387
Tumor
0.1
723
Tumor
0.1
376
Normal
0.1
126
Normal
0.1
283
Tumor
0.1
426
Normal
0.1
446
Normal
0.1
914
Normal
0.1
357
Tumor
0.0
528
Normal
0.0
545
Tumor
0.0
262
Normal
0.0
546
Normal
0.0
147
Tumor
0.0
663
Tumor
0.0
428
Normal
0.0
258
Normal
0.0
218
Normal
0.0
494
Normal
0.0
1022
Normal
0.0
918
Normal
0.0
535
Tumor
0.0
628
Normal
0.0
866
Normal
0.0
195
Tumor
0.0
963
Tumor
0.0
778
Normal
0.0
466
Normal
0.0
523
Tumor
0.0
297
Tumor
0.0
124
Normal
0.0
172
Normal
0.0
188
Normal
0.0
944
Normal
0.0
568
Normal
0.0
388
Normal
0.0
488
Normal
0.0
434
Normal
0.0
721
Tumor
0.0
1028
Normal
0.0
214
Normal
0.0
696
Normal
0.0
413
Tumor
0.0
882
Normal
0.0
452
Normal
0.0
873
Tumor
0.0
461
Tumor
0.0
916
Normal
0.0
968
Normal
0.0
278
Normal
0.0
148
Normal
0.0
467
Tumor
0.0
411
Tumor
0.0
526
Normal
0.0
964
Normal
0.0
424
Normal
0.0
536
Normal
0.0
912
Normal
0.0
284
Normal
0.0
698
Normal
0.0
956
Normal
0.0
618
Normal
0.0
312
Normal
0.0
952
Normal
0.0
138
Normal
0.0
464
Normal
0.0
661
Tumor
0.0
396
Normal
0.0
132
Normal
0.0
615
Tumor
0.0
1014
Normal
0.0
455
Tumor
0.0
514
Normal
0.0
883
Tumor
0.0
386
Normal
0.0
217
Tumor
0.0
421
Tumor
0.0
451
Tumor
0.0
943
Tumor
0.0
141
Tumor
0.0
358
Normal
0.0
232
Normal
0.0
636
Normal
0.0
976
Normal
0.0
981
Tumor
0.0
191
Tumor
0.0
342
Normal
0.0
874
Normal
0.0
257
Tumor
0.0
268
Normal
0.0
363
Tumor
0.0
1042
Normal
0.0
365
Tumor
0.0
983
Tumor
0.0
185
Tumor
0.0
686
Normal
0.0
648
Normal
0.0
814
Normal
0.0
716
Normal
0.0
366
Normal
0.0
925
Tumor
0.0
534
Normal
0.0
967
Tumor
0.0
878
Normal
0.0
445
Tumor
0.0
922
Normal
0.0
868
Normal
0.0
516
Normal
-0.1
714
Normal
-0.1
1025
Tumor
-0.1
483
Tumor
-0.1
364
Normal
-0.1
137
Tumor
-0.1
664
Normal
-0.1
884
Normal
-0.1
492
Normal
-0.1
524
Normal
-0.1
224
Normal
-0.1
1031
Tumor
-0.1
881
Tumor
-0.1
857
Tumor
-0.1
923
Tumor
-0.1
444
Normal
-0.1
142
Normal
-0.1
427
Tumor
-0.1
558
Normal
-0.1
662
Normal
-0.1
313
Tumor
-0.1
924
Normal
-0.1
344
Normal
-0.1
368
Normal
-0.1
328
Normal
-0.1
722
Normal
-0.1
813
Tumor
-0.1
383
Tumor
-0.1
818
Normal
-0.1
616
Normal
-0.1
525
Tumor
-0.1
146
Normal
-0.1
574
Normal
-0.1
385
Tumor
-0.1
823
Tumor
-0.1
271
Tumor
-0.1
277
Tumor
-0.1
478
Normal
-0.1
311
Tumor
-0.1
352
Normal
-0.1
1046
Normal
-0.1
423
Tumor
-0.1
1021
Tumor
-0.1
456
Normal
-0.1
221
Tumor
-0.1
642
Normal
-0.1
471
Tumor
-0.1
354
Normal
-0.1
647
Tumor
-0.1
713
Tumor
-0.1
954
Normal
-0.1
715
Tumor
-0.1
416
Normal
-0.1
468
Normal
-0.1
498
Normal
-0.1
571
Tumor
-0.1
666
Normal
-0.1
863
Tumor
-0.1
131
Tumor
-0.1
554
Normal
-0.1
984
Normal
-0.1
1045
Tumor
-0.1
564
Normal
-0.1
491
Tumor
-0.1
538
Normal
-0.1
1032
Normal
-0.1
665
Tumor
-0.1
497
Tumor
-0.2
572
Normal
-0.2
384
Normal
-0.2
431
Tumor
-0.2
1043
Tumor
-0.2
465
Tumor
-0.2
958
Normal
-0.2
1013
Tumor
-0.2
355
Tumor
-0.2
937
Tumor
-0.2
415
Tumor
-0.2
213
Tumor
-0.2
744
Normal
-0.2
261
Tumor
-0.2
938
Normal
-0.2
1015
Tumor
-0.2
533
Tumor
-0.2
493
Tumor
-0.2
861
Tumor
-0.2
391
Tumor
-0.2
192
Normal
-0.2
487
Tumor
-0.2
231
Tumor
-0.2
433
Tumor
-0.3
425
Tumor
-0.3
351
Tumor
-0.3
361
Tumor
-0.3
915
Tumor
-0.3
635
Tumor
-0.3
867
Tumor
-0.3
951
Tumor
-0.3
1041
Tumor
-0.3
672
Normal
-0.3
727
Tumor
-0.3
975
Tumor
-0.3
343
Tumor
-0.3
517
Tumor
-0.3
127
Tumor
-0.3
877
Tumor
-0.3
435
Tumor
-0.3
112
Tumor
-0.3
161
Tumor
-0.3
641
Tumor
-0.3
563
Tumor
-0.3
553
Tumor
-0.4
911
Tumor
-0.4
341
Tumor
-0.4
671
Tumor
-0.4
123
Tumor
-0.4
965
Tumor
-0.4
957
Tumor
-0.4
477
Tumor
-0.4
921
Tumor
-0.4
171
Tumor
-0.4
695
Tumor
-0.4
817
Tumor
-0.4
741
Tumor
-0.4
977
Tumor
-0.4
473
Tumor
-0.5
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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.