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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.
MT-ND3 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 TPM
10404.7
Number of samples
362
Samples
Sample
Description
TPM
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
36442.1
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
36026.5
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
33802.7
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
31862.6
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
29836.6
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
29499.2
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
29384.7
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
29167.2
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
28832.2
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
28800.8
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
26220.0
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
25963.0
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
25824.2
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
25387.8
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
25010.5
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
24540.0
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
23874.7
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
22981.9
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
21604.8
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
21495.6
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
21292.5
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
21188.0
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
20533.9
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
19942.8
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
19884.0
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
19831.2
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
19790.7
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
19757.6
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
19421.4
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
19288.5
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
18080.5
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
17605.2
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
17277.8
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
17254.2
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
17254.0
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
17253.7
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
17215.4
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
17133.5
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
16961.7
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
16849.3
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
16846.5
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
16837.9
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
16240.0
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
16169.7
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
16143.3
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
16064.8
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
15885.9
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
15841.9
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
15805.0
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
15762.5
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
15499.6
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
15391.7
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
15291.6
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
15168.7
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
15150.6
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
15113.0
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
15105.1
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
15051.5
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
15048.0
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
15025.9
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
14885.8
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
14740.1
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
14677.3
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
14597.9
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
14582.7
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
14553.5
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
14495.3
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
14470.4
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
14386.3
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
14363.1
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
14357.0
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
14356.4
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
14301.7
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
14232.4
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
14133.4
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
14110.5
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
14055.5
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
14051.9
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
14051.4
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
14018.7
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
14004.7
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
13940.9
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
13930.8
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
13909.1
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
13860.8
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
13857.0
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
13850.3
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
13797.9
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
13788.4
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
13702.1
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
13643.3
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
13627.5
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
13605.5
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
13535.1
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
13492.9
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
13436.4
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
13353.3
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
13239.7
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
13188.8
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
13183.2
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
12923.3
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
12767.4
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
12705.2
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
12683.3
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
12677.7
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
12671.8
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
12629.6
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
12594.7
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
12565.9
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
12549.6
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
12477.9
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
12464.0
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
12398.3
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
12381.8
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
12174.4
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
12162.5
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
12134.2
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
12105.3
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
11986.9
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
11936.7
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
11898.9
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
11864.8
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
11830.4
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
11696.3
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
11672.0
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
11622.6
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
11565.7
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
11499.0
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
11406.5
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
11366.3
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
11337.5
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
11280.5
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
11141.3
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
11073.6
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
11041.8
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
10945.3
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
10892.8
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
10836.7
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
10773.8
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
10758.5
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
10732.1
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
10679.0
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
10647.1
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
10610.3
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
10591.9
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
10580.4
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
10531.0
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
10517.3
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
10423.5
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
10401.6
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
10386.5
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
10376.2
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
10341.4
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
10315.6
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
10238.0
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
10223.9
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
10107.2
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
10074.8
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
10065.1
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
10062.9
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
10004.1
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
9946.3
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
9924.5
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
9914.2
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
9911.2
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
9844.2
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
9792.9
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
9767.8
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
9709.9
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
9698.1
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
9644.1
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
9462.9
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
9453.9
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
9436.7
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
9278.0
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
9267.2
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
9225.6
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
9184.8
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
9057.9
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
9035.1
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
9008.0
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
8999.4
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
8971.8
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
8958.9
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
8955.7
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
8943.5
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
8938.5
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
8893.8
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
8848.2
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
8834.3
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
8759.4
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
8759.0
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
8758.5
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
8758.0
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
8753.2
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
8735.2
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
8724.4
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
8674.1
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
8659.5
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
8634.5
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
8596.3
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
8563.9
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
8531.8
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
8488.0
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
8389.3
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
8380.7
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
8347.2
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
8335.8
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
8317.6
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
8315.0
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
8311.2
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
8290.3
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
8245.8
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
8168.3
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
7970.5
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
7965.1
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
7957.2
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
7949.1
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
7884.1
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
7857.7
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
7835.4
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
7817.3
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
7807.6
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
7801.2
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
7795.1
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
7697.0
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
7615.0
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
7609.3
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
7568.7
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
7568.4
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
7489.5
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
7479.4
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
7381.5
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
7331.2
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
7299.1
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
7295.7
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
7247.4
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
7217.2
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
7210.8
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
7014.9
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
6905.5
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
6881.2
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
6865.3
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
6821.2
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
6749.5
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
6717.9
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
6708.7
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
6686.0
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
6671.8
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
6671.6
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
6669.4
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
6654.4
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
6630.8
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
6510.1
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
6507.8
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
6493.8
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
6492.2
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
6489.7
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
6488.9
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
6483.2
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
6481.4
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
6465.2
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
6358.3
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
6231.0
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
6162.7
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
6149.3
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
6133.2
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
6102.0
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
6073.0
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
5903.1
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
5891.4
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
5857.6
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
5849.4
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
5837.1
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
5810.9
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
5790.2
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
5773.9
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
5675.4
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
5585.4
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
5554.4
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
5512.8
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
5479.9
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
5477.1
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
5472.4
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
5461.8
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
5458.5
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
5409.8
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
5370.4
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
5333.7
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
5310.5
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
5307.7
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
5302.7
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
5301.7
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
5283.5
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
5265.1
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
5260.8
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
5214.5
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
5169.7
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
5167.9
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
5158.5
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
5110.3
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
5045.4
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
4992.3
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
4970.6
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
4958.0
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
4917.0
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
4847.3
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
4754.5
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
4728.6
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
4716.1
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
4653.8
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
4633.9
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
4628.5
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
4624.3
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
4546.9
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
4512.2
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
4510.7
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
4492.5
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
4484.3
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
4474.9
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
4415.4
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
4361.0
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
4327.3
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
4322.7
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
4313.6
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
4154.1
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
4153.8
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
4038.9
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
4010.7
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
3999.7
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
3933.5
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
3911.7
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
3904.8
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
3893.9
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
3872.0
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
3819.3
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
3796.2
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
3722.4
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
3715.8
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
3560.1
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
3477.1
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
3450.8
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
3375.0
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
3318.5
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
3306.0
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
3216.3
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
3095.5
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
3051.4
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
2895.8
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
2889.9
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
2842.4
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
2766.8
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
2678.2
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
2665.6
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
2585.8
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
2505.2
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
2386.2
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
2263.6
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
2216.6
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
2208.1
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
2188.8
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 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.
Survival analysis data not available.
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
471
Tumor
N/A
351
Tumor
N/A
472
Normal
N/A
231
Tumor
N/A
352
Normal
N/A
473
Tumor
N/A
111
Normal
N/A
232
Normal
N/A
353
Tumor
N/A
474
Normal
N/A
112
Tumor
N/A
354
Normal
N/A
113
Tumor
N/A
355
Tumor
N/A
114
Normal
N/A
356
Normal
N/A
477
Tumor
N/A
357
Tumor
N/A
478
Normal
N/A
358
Normal
N/A
911
Tumor
N/A
912
Normal
N/A
913
Tumor
N/A
914
Normal
N/A
915
Tumor
N/A
916
Normal
N/A
917
Tumor
N/A
918
Normal
N/A
481
Tumor
N/A
361
Tumor
N/A
482
Normal
N/A
362
Normal
N/A
483
Tumor
N/A
363
Tumor
N/A
484
Normal
N/A
364
Normal
N/A
123
Tumor
N/A
365
Tumor
N/A
124
Normal
N/A
366
Normal
N/A
487
Tumor
N/A
125
Tumor
N/A
367
Tumor
N/A
488
Normal
N/A
126
Normal
N/A
368
Normal
N/A
127
Tumor
N/A
128
Normal
N/A
921
Tumor
N/A
922
Normal
N/A
923
Tumor
N/A
924
Normal
N/A
925
Tumor
N/A
926
Normal
N/A
491
Tumor
N/A
492
Normal
N/A
493
Tumor
N/A
131
Tumor
N/A
494
Normal
N/A
132
Normal
N/A
375
Tumor
N/A
376
Normal
N/A
497
Tumor
N/A
135
Tumor
N/A
498
Normal
N/A
136
Normal
N/A
257
Tumor
N/A
137
Tumor
N/A
258
Normal
N/A
138
Normal
N/A
813
Tumor
N/A
814
Normal
N/A
815
Tumor
N/A
816
Normal
N/A
937
Tumor
N/A
817
Tumor
N/A
938
Normal
N/A
818
Normal
N/A
261
Tumor
N/A
141
Tumor
N/A
262
Normal
N/A
383
Tumor
N/A
142
Normal
N/A
384
Normal
N/A
385
Tumor
N/A
386
Normal
N/A
145
Tumor
N/A
387
Tumor
N/A
146
Normal
N/A
267
Tumor
N/A
388
Normal
N/A
147
Tumor
N/A
268
Normal
N/A
148
Normal
N/A
943
Tumor
N/A
823
Tumor
N/A
944
Normal
N/A
824
Normal
N/A
1022
Normal
N/A
1021
Tumor
N/A
391
Tumor
N/A
271
Tumor
N/A
392
Normal
N/A
272
Normal
N/A
393
Tumor
N/A
394
Normal
N/A
395
Tumor
N/A
396
Normal
N/A
277
Tumor
N/A
1016
Normal
N/A
278
Normal
N/A
1015
Tumor
N/A
1014
Normal
N/A
951
Tumor
N/A
1013
Tumor
N/A
952
Normal
N/A
953
Tumor
N/A
954
Normal
N/A
713
Tumor
N/A
955
Tumor
N/A
714
Normal
N/A
956
Normal
N/A
715
Tumor
N/A
957
Tumor
N/A
716
Normal
N/A
958
Normal
N/A
1032
Normal
N/A
1031
Tumor
N/A
161
Tumor
N/A
162
Normal
N/A
283
Tumor
N/A
284
Normal
N/A
285
Tumor
N/A
286
Normal
N/A
1028
Normal
N/A
1027
Tumor
N/A
1026
Normal
N/A
1025
Tumor
N/A
721
Tumor
N/A
963
Tumor
N/A
722
Normal
N/A
964
Normal
N/A
723
Tumor
N/A
965
Tumor
N/A
724
Normal
N/A
966
Normal
N/A
967
Tumor
N/A
968
Normal
N/A
727
Tumor
N/A
728
Normal
N/A
1044
Normal
N/A
1043
Tumor
N/A
1042
Normal
N/A
1041
Tumor
N/A
171
Tumor
N/A
172
Normal
N/A
297
Tumor
N/A
298
Normal
N/A
851
Tumor
N/A
852
Normal
N/A
975
Tumor
N/A
976
Normal
N/A
977
Tumor
N/A
615
Tumor
N/A
857
Tumor
N/A
978
Normal
N/A
616
Normal
N/A
737
Tumor
N/A
858
Normal
N/A
617
Tumor
N/A
738
Normal
N/A
618
Normal
N/A
185
Tumor
N/A
186
Normal
N/A
187
Tumor
N/A
188
Normal
N/A
981
Tumor
N/A
861
Tumor
N/A
982
Normal
N/A
741
Tumor
N/A
862
Normal
N/A
983
Tumor
N/A
742
Normal
N/A
863
Tumor
N/A
984
Normal
N/A
1046
Normal
N/A
743
Tumor
N/A
864
Normal
N/A
1045
Tumor
N/A
744
Normal
N/A
865
Tumor
N/A
745
Tumor
N/A
866
Normal
N/A
746
Normal
N/A
867
Tumor
N/A
868
Normal
N/A
627
Tumor
N/A
628
Normal
N/A
191
Tumor
N/A
192
Normal
N/A
195
Tumor
N/A
196
Normal
N/A
873
Tumor
N/A
874
Normal
N/A
513
Tumor
N/A
755
Tumor
N/A
514
Normal
N/A
635
Tumor
N/A
756
Normal
N/A
877
Tumor
N/A
515
Tumor
N/A
636
Normal
N/A
878
Normal
N/A
516
Normal
N/A
517
Tumor
N/A
518
Normal
N/A
881
Tumor
N/A
882
Normal
N/A
641
Tumor
N/A
883
Tumor
N/A
642
Normal
N/A
884
Normal
N/A
523
Tumor
N/A
524
Normal
N/A
525
Tumor
N/A
526
Normal
N/A
647
Tumor
N/A
527
Tumor
N/A
648
Normal
N/A
528
Normal
N/A
411
Tumor
N/A
412
Normal
N/A
533
Tumor
N/A
413
Tumor
N/A
534
Normal
N/A
414
Normal
N/A
535
Tumor
N/A
777
Tumor
N/A
415
Tumor
N/A
536
Normal
N/A
778
Normal
N/A
416
Normal
N/A
537
Tumor
N/A
538
Normal
N/A
661
Tumor
N/A
662
Normal
N/A
421
Tumor
N/A
663
Tumor
N/A
422
Normal
N/A
664
Normal
N/A
785
Tumor
N/A
423
Tumor
N/A
665
Tumor
N/A
786
Normal
N/A
424
Normal
N/A
545
Tumor
N/A
666
Normal
N/A
425
Tumor
N/A
546
Normal
N/A
426
Normal
N/A
427
Tumor
N/A
428
Normal
N/A
671
Tumor
N/A
672
Normal
N/A
431
Tumor
N/A
311
Tumor
N/A
432
Normal
N/A
553
Tumor
N/A
312
Normal
N/A
433
Tumor
N/A
554
Normal
N/A
313
Tumor
N/A
434
Normal
N/A
314
Normal
N/A
435
Tumor
N/A
436
Normal
N/A
557
Tumor
N/A
558
Normal
N/A
563
Tumor
N/A
443
Tumor
N/A
564
Normal
N/A
685
Tumor
N/A
444
Normal
N/A
686
Normal
N/A
445
Tumor
N/A
446
Normal
N/A
567
Tumor
N/A
447
Tumor
N/A
568
Normal
N/A
327
Tumor
N/A
448
Normal
N/A
328
Normal
N/A
571
Tumor
N/A
451
Tumor
N/A
572
Normal
N/A
331
Tumor
N/A
452
Normal
N/A
573
Tumor
N/A
211
Tumor
N/A
332
Normal
N/A
574
Normal
N/A
695
Tumor
N/A
212
Normal
N/A
696
Normal
N/A
213
Tumor
N/A
455
Tumor
N/A
697
Tumor
N/A
214
Normal
N/A
456
Normal
N/A
698
Normal
N/A
217
Tumor
N/A
218
Normal
N/A
461
Tumor
N/A
341
Tumor
N/A
462
Normal
N/A
221
Tumor
N/A
342
Normal
N/A
463
Tumor
N/A
222
Normal
N/A
343
Tumor
N/A
464
Normal
N/A
223
Tumor
N/A
344
Normal
N/A
465
Tumor
N/A
224
Normal
N/A
466
Normal
N/A
467
Tumor
N/A
468
Normal
N/A
227
Tumor
N/A
228
Normal
N/A
Show allShow less
LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
