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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.
RPL37A is not prognostic in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
2199.0
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
10567.7
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
10204.0
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
8673.8
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
7911.0
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
7421.1
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
7399.7
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
7338.4
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
7299.2
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
6847.0
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
6678.8
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
6277.2
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
6227.3
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
6033.4
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
5559.3
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
5506.7
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
5443.8
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
5283.8
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
5238.2
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
5100.0
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
5088.6
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
4674.7
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
4640.4
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
4615.9
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
4498.2
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
4478.8
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
4323.0
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
4264.4
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
4253.9
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
4252.4
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
4143.6
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
4115.2
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
4075.8
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
4046.4
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
3924.9
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
3924.6
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
3908.0
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
3845.6
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
3772.7
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
3737.3
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
3734.6
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
3709.0
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
3686.0
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
3644.8
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
3642.2
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
3605.9
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
3587.8
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
3585.6
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
3507.2
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
3497.7
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
3495.5
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
3483.3
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
3445.1
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
3412.0
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
3407.3
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
3390.0
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
3368.7
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
3330.0
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
3271.9
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
3203.0
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
3183.3
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
3167.5
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
3167.1
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
3153.1
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
3075.2
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
3073.9
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
3064.1
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
3056.2
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
3053.1
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
3037.6
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
3029.8
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
2982.2
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
2953.9
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
2943.9
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
2937.9
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
2928.0
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
2918.7
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
2916.9
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
2911.8
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
2900.3
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
2883.4
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
2823.0
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
2809.5
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
2809.3
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
2782.6
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
2782.4
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
2781.0
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
2749.0
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
2705.5
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
2696.0
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
2688.1
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
2673.9
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
2666.7
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
2641.0
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
2631.5
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
2560.9
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
2560.1
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
2514.0
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
2504.8
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
2499.7
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
2484.9
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
2478.3
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
2472.0
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
2450.6
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
2445.8
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
2424.7
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
2423.2
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
2414.4
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
2405.0
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
2386.0
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
2382.2
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
2355.8
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
2341.6
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
2333.7
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
2326.6
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
2317.2
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
2316.7
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
2301.3
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
2288.3
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
2269.3
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
2267.4
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
2249.4
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
2247.7
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
2212.1
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
2211.2
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
2191.7
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
2177.7
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
2160.7
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
2155.6
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
2154.6
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
2147.4
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
2129.1
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
2127.4
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
2125.7
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
2096.0
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
2068.3
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
2063.5
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
2059.5
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
2058.8
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
2058.4
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
2042.0
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
2036.5
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
2030.0
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
2027.9
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
2025.3
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
2012.1
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
2003.1
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
2000.4
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
1994.4
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1987.2
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
1964.4
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
1946.1
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
1945.0
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
1939.5
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
1926.6
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1916.0
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
1915.7
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
1912.2
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
1909.4
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
1895.2
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1893.5
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
1892.2
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1890.1
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
1885.5
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
1873.6
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
1850.7
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
1847.1
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
1845.1
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
1837.5
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
1836.4
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
1822.6
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
1819.2
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
1810.8
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
1810.2
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
1808.9
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
1805.8
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
1792.4
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
1792.2
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
1785.8
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
1780.2
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
1772.9
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
1772.1
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1764.4
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
1755.2
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
1742.8
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1742.3
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
1741.5
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
1734.6
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
1725.5
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
1721.8
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
1717.9
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
1716.4
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
1705.6
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1697.8
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
1694.4
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
1684.8
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
1677.0
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
1671.0
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
1670.9
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
1670.2
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
1662.4
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
1652.5
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
1650.2
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
1649.3
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
1646.8
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
1640.3
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
1637.3
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
1632.6
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
1617.4
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
1609.7
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
1602.4
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
1601.5
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
1595.0
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
1593.0
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
1588.9
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
1588.3
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
1586.1
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
1584.5
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
1571.7
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
1571.5
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
1560.3
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
1553.8
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
1551.5
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
1548.0
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
1546.9
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
1543.7
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
1530.0
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
1529.2
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
1521.4
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
1517.2
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1516.7
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
1511.6
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
1481.3
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
1478.4
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
1473.5
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
1463.1
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
1461.0
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
1452.9
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
1438.1
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1424.8
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
1422.4
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
1420.1
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
1418.5
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
1412.4
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
1397.2
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
1396.6
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
1389.9
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
1388.5
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
1378.8
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
1378.8
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
1367.5
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
1366.7
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
1365.2
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
1360.6
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1357.6
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
1350.2
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
1349.9
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
1333.7
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
1330.9
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
1312.4
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
1306.1
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
1298.5
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
1291.2
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
1278.3
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
1276.3
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
1275.9
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
1274.6
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
1273.9
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
1269.1
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
1268.7
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
1262.9
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
1258.7
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1248.1
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
1241.9
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
1234.1
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
1232.3
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
1230.9
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
1228.7
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
1228.2
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
1227.6
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
1223.3
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
1214.6
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
1209.7
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
1205.4
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
1196.9
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
1196.6
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
1195.6
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
1193.7
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
1190.8
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
1185.2
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
1171.5
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
1169.1
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
1167.7
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
1166.3
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
1158.5
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
1158.3
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
1146.1
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
1135.1
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
1134.3
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
1132.2
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
1127.5
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
1122.5
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
1120.2
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
1117.4
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
1111.3
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
1107.4
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
1104.7
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
1079.4
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
1077.0
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
1071.7
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
1059.9
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
1051.9
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
1045.7
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
1034.9
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
1031.8
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
1009.9
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
1008.7
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
1000.4
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
997.8
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
997.1
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
993.2
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
991.0
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
976.8
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
975.6
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
975.3
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
972.2
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
965.0
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
964.7
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
961.3
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
958.4
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
943.8
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
922.9
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
921.7
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
912.8
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
909.9
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
903.1
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
895.7
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
888.4
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
880.7
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
872.0
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
867.5
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
861.6
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
854.7
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
845.7
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
845.3
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
831.1
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
823.6
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
811.9
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
753.0
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
748.9
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
709.5
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
708.3
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
688.1
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
681.4
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
678.8
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
677.8
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
669.9
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
661.6
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
622.8
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
604.1
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
580.1
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 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.
RPL37A is potential prognostic, high expression is unfavorable in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
2402.1
Number of samples
231
Samples
Sample
Description
pTPM
DO45285
59 years, male, NA, stage:3, alive, 480 days
10616.3
DO50814
83 years, male, NA, stage:3, alive, 420 days
10239.2
DO50785
37 years, male, NA, stage:4, dead, 90 days
9043.2
DO45303
62 years, female, NA, stage:3, alive, 990 days
6517.3
DO45289
78 years, female, NA, stage:3, alive, 360 days
6243.5
DO45189
85 years, female, NA, stage:2, alive, 1200 days
5917.7
DO45193
68 years, female, NA, stage:4, dead, 120 days
5581.2
DO45251
57 years, female, NA, stage:2, alive, 900 days
5459.2
DO23515
71 years, male, NA, stage:2, alive, 1230 days
5238.8
DO45209
70 years, male, NA, stage:4, alive, 1350 days
5189.9
DO45283
60 years, male, NA, stage:3, alive, 510 days
4869.6
DO48737
52 years, male, NA, stage:1, alive, 720 days
4830.7
DO45305
66 years, male, NA, stage:4, alive, 300 days
4809.3
DO50799
66 years, female, NA, stage:2, alive, 540 days
4692.6
DO48747
62 years, male, NA, stage:3, alive, 540 days
4619.5
DO45307
54 years, female, NA, stage:4, dead, 240 days
4606.6
DO45269
59 years, male, NA, stage:3, alive, 750 days
4387.9
DO45301
56 years, male, NA, stage:2, dead, 1440 days
4360.8
DO45093
71 years, male, NA, stage:2, dead, 720 days
4338.7
DO23530
53 years, male, NA, stage:4, dead, 180 days
4295.8
DO50815
62 years, male, NA, stage:3, alive, 150 days
4136.6
DO48741
64 years, male, NA, stage:3, alive, 240 days
4130.6
DO23511
83 years, female, NA, stage:3, dead, 180 days
4074.1
DO23528
45 years, female, NA, stage:2, alive, 1020 days
4005.8
DO23545
67 years, male, NA, stage:2, dead, 570 days
4001.1
DO45259
65 years, male, NA, stage:3, alive, 330 days
3979.8
DO48682
72 years, female, NA, stage:3, dead, 120 days
3909.9
DO23516
69 years, male, NA, stage:3, dead, 20 days
3809.2
DO45287
74 years, male, NA, stage:1, alive, 390 days
3797.3
DO48730
73 years, female, NA, stage:2, alive, 630 days
3792.1
DO45279
67 years, male, NA, stage:3, alive, 1290 days
3748.3
DO50855
47 years, male, NA, stage:2, alive, 570 days
3666.4
DO45217
69 years, female, NA, stage:3, dead, 270 days
3620.8
DO48697
64 years, female, NA, stage:2, dead, 810 days
3595.4
DO23508
79 years, female, NA, stage:2, alive, 390 days
3574.6
DO45211
76 years, male, NA, stage:3, alive, 240 days
3554.6
DO45161
74 years, male, NA, stage:2, dead, 540 days
3552.8
DO48715
58 years, female, NA, stage:2, dead, 690 days
3536.7
DO50806
70 years, male, NA, stage:4, alive, 540 days
3508.6
DO45097
69 years, male, NA, stage:3, alive, 1620 days
3490.5
DO23525
71 years, male, NA, stage:4, alive, 1050 days
3418.2
DO45299
70 years, female, NA, stage:1, alive, 1440 days
3380.9
DO48723
73 years, male, NA, stage:1, alive, 600 days
3344.4
DO45145
78 years, male, NA, stage:3, dead, 60 days
3316.7
DO23526
66 years, male, NA, stage:3, alive, 1050 days
3258.4
DO48751
68 years, male, NA, stage:2, dead, 480 days
3246.3
DO45239
42 years, male, NA, stage:2, alive, 870 days
3190.8
DO45273
62 years, male, NA, stage:2, alive, 480 days
3155.1
DO45267
73 years, male, NA, stage:3, dead, 570 days
3151.7
DO45187
32 years, female, NA, stage:1, alive, 1260 days
3108.7
DO45249
57 years, male, NA, stage:1, alive, 630 days
3075.9
DO50859
77 years, male, NA, stage:2, alive, 180 days
3067.2
DO45205
67 years, female, NA, stage:2, dead, 90 days
3056.5
DO45127
73 years, male, NA, stage:3, dead, 420 days
3054.8
DO23543
63 years, male, NA, stage:2, alive, 1020 days
3033.7
DO50809
56 years, male, NA, stage:3, dead, 720 days
3017.5
DO48736
76 years, female, NA, stage:1, alive, 600 days
3007.5
DO23521
63 years, male, NA, stage:3, alive, 1110 days
2994.7
DO45165
75 years, male, NA, stage:2, alive, 690 days
2991.5
DO45297
61 years, female, NA, stage:4, dead, 1260 days
2976.7
DO45191
61 years, female, NA, stage:2, alive, 1200 days
2975.4
DO45277
64 years, male, NA, stage:3, alive, 600 days
2932.7
DO48759
73 years, male, NA, stage:3, alive, 720 days
2897.4
DO45219
78 years, male, NA, stage:2, alive, 1080 days
2894.9
DO48757
68 years, female, NA, stage:3, alive, 480 days
2870.7
DO45247
31 years, female, NA, stage:2, alive, 210 days
2864.2
DO45281
83 years, male, NA, stage:4, alive, 750 days
2851.0
DO45265
73 years, male, NA, stage:3, alive, 1020 days
2838.4
DO45183
72 years, female, NA, stage:2, dead, 570 days
2814.6
DO50825
70 years, male, NA, stage:2, alive, 390 days
2781.9
DO23519
65 years, male, NA, stage:3, alive, 630 days
2776.6
DO45095
66 years, male, NA, stage:2, alive, 1620 days
2770.5
DO45261
74 years, male, NA, stage:3, alive, 990 days
2753.5
DO45179
78 years, female, NA, stage:2, alive, 600 days
2737.3
DO50791
79 years, female, NA, stage:1, dead, 480 days
2733.1
DO48672
81 years, male, NA, stage:2, alive, 450 days
2718.3
DO45103
47 years, male, NA, stage:3, alive, 450 days
2710.7
DO45135
77 years, male, NA, stage:1, alive, 1410 days
2706.6
DO50805
72 years, male, NA, stage:2, alive, 690 days
2682.2
DO23523
52 years, male, NA, stage:3, alive, 1080 days
2660.8
DO50811
62 years, male, NA, stage:1, alive, 450 days
2628.9
DO23537
79 years, male, NA, stage:2, dead, 900 days
2609.6
DO50778
60 years, male, NA, stage:4, alive, 630 days
2607.1
DO50844
75 years, male, NA, stage:4, alive, 300 days
2586.7
DO45185
89 years, male, NA, stage:2, alive, 600 days
2551.7
DO45221
75 years, female, NA, stage:4, dead, 390 days
2545.4
DO45275
65 years, male, NA, stage:3, dead, 10 days
2489.7
DO48706
72 years, male, NA, stage:2, alive, 870 days
2458.9
DO23533
61 years, male, NA, stage:2, alive, 900 days
2453.6
DO50820
77 years, female, NA, stage:3, alive, 510 days
2439.0
DO48681
57 years, male, NA, stage:2, alive, 900 days
2431.2
DO45092
62 years, male, NA, stage:4, dead, 1200 days
2387.4
DO50802
49 years, male, NA, stage:2, alive, 930 days
2377.1
DO45253
50 years, male, NA, stage:2, alive, 870 days
2357.0
DO48732
73 years, male, NA, stage:3, alive, 630 days
2320.6
DO48727
81 years, female, NA, stage:2, dead, 390 days
2262.1
DO48720
62 years, female, NA, stage:2, alive, 570 days
2259.5
DO45199
86 years, female, NA, stage:2, alive, 1350 days
2252.4
DO45213
58 years, male, NA, stage:1, alive, 1200 days
2248.9
DO23536
56 years, male, NA, stage:2, alive, 930 days
2246.0
DO45139
63 years, male, NA, stage:3, alive, 1320 days
2241.4
DO45117
73 years, female, NA, stage:2, dead, 1110 days
2236.0
DO50800
74 years, male, NA, stage:2, alive, 510 days
2234.0
DO50783
62 years, male, NA, stage:3, alive, 480 days
2217.0
DO48725
66 years, male, NA, stage:1, alive, 780 days
2206.8
DO45243
74 years, female, NA, stage:3, alive, 930 days
2177.6
DO23542
66 years, male, NA, stage:3, alive, 960 days
2174.5
DO45131
53 years, male, NA, stage:4, dead, 360 days
2168.0
DO50857
72 years, male, NA, stage:2, alive, 210 days
2137.8
DO50839
47 years, female, NA, stage:3, alive, 330 days
2133.1
DO48717
54 years, male, NA, stage:4, dead, 180 days
2108.4
DO50822
66 years, male, NA, stage:2, alive, 510 days
2098.4
DO23540
73 years, male, NA, stage:1, alive, 750 days
2073.9
DO45231
84 years, male, NA, stage:2, alive, 930 days
2047.0
DO45143
69 years, male, NA, stage:3, alive, 1290 days
2019.6
DO48700
78 years, female, NA, stage:2, alive, 810 days
2017.8
DO23514
64 years, male, NA, stage:2, alive, 1290 days
1973.2
DO45119
74 years, male, NA, stage:3, dead, 510 days
1959.3
DO50829
78 years, male, NA, stage:3, alive, 570 days
1951.5
DO50793
76 years, male, NA, stage:4, alive, 540 days
1948.9
DO45175
74 years, male, NA, stage:2, alive, 1140 days
1944.0
DO45201
49 years, male, NA, stage:1, alive, 900 days
1933.0
DO48746
76 years, male, NA, stage:3, alive, 570 days
1925.1
DO23547
74 years, male, NA, stage:1, alive, 1020 days
1913.8
DO48728
74 years, female, NA, stage:2, alive, 150 days
1886.4
DO50816
63 years, male, NA, stage:2, alive, 390 days
1882.1
DO45225
69 years, male, NA, stage:1, alive, 1050 days
1873.8
DO48677
58 years, male, NA, stage:3, alive, 1140 days
1869.7
DO50813
56 years, male, NA, stage:2, alive, 420 days
1864.2
DO50776
75 years, male, NA, stage:1, alive, 690 days
1850.9
DO45121
61 years, male, NA, stage:3, alive, 1530 days
1839.5
DO23510
80 years, female, NA, stage:2, alive, 870 days
1838.9
DO48712
50 years, male, NA, stage:2, alive, 810 days
1831.6
DO48679
72 years, male, NA, stage:2, alive, 1200 days
1830.4
DO48693
71 years, male, NA, stage:2, alive, 900 days
1808.0
DO45109
63 years, male, NA, stage:2, alive, 1590 days
1788.7
DO45113
58 years, male, NA, stage:3, alive, 1560 days
1772.5
DO45153
77 years, female, NA, stage:2, alive, 1380 days
1751.1
DO227801
77 years, female, NA, stage:1, alive, 660 days
1751.0
DO45237
58 years, male, NA, stage:2, alive, 900 days
1747.0
DO48733
72 years, male, NA, stage:2, alive, 600 days
1703.3
DO45141
73 years, male, NA, stage:2, alive, 1320 days
1702.6
DO45096
69 years, male, NA, stage:2, dead, 1290 days
1700.5
DO45223
67 years, male, NA, stage:4, alive, 1020 days
1693.7
DO48719
80 years, male, NA, stage:2, alive, 690 days
1689.8
DO23546
63 years, male, NA, stage:2, alive, 1050 days
1681.6
DO45255
81 years, male, NA, stage:3, alive, 720 days
1681.6
DO45155
69 years, male, NA, stage:2, alive, 2160 days
1668.0
DO45125
58 years, male, NA, stage:3, alive, 1680 days
1656.2
DO50817
75 years, male, NA, stage:2, alive, 390 days
1649.8
DO45157
62 years, male, NA, stage:2, alive, 1980 days
1648.4
DO45163
76 years, male, NA, stage:2, alive, 960 days
1635.4
DO50808
68 years, male, NA, stage:2, alive, 570 days
1626.7
DO45227
57 years, female, NA, stage:2, alive, 1020 days
1625.7
DO45257
46 years, male, NA, stage:3, alive, 810 days
1619.5
DO48674
80 years, male, NA, stage:2, alive, 1260 days
1597.3
DO23529
72 years, male, NA, stage:4, alive, 930 days
1588.8
DO45123
78 years, female, NA, stage:2, dead, 570 days
1579.9
DO50789
73 years, female, NA, stage:2, alive, 570 days
1573.8
DO23549
74 years, male, NA, stage:3, alive, 990 days
1563.7
DO23548
78 years, female, NA, stage:1, alive, 840 days
1540.4
DO50819
72 years, female, NA, stage:2, alive, 510 days
1534.0
DO45177
81 years, female, NA, stage:3, alive, 1260 days
1533.9
DO45233
83 years, male, NA, stage:3, alive, 900 days
1520.7
DO45171
56 years, male, NA, stage:3, alive, 600 days
1519.1
DO45245
75 years, female, NA, stage:2, dead, 240 days
1519.0
DO50798
77 years, male, NA, stage:3, dead, 30 days
1515.5
DO23513
76 years, male, NA, stage:3, alive, 1200 days
1506.0
DO23509
60 years, male, NA, stage:3, dead, 780 days
1504.4
DO45115
81 years, male, NA, stage:2, alive, 840 days
1504.0
DO45181
84 years, female, NA, stage:2, alive, 1200 days
1479.6
DO45241
49 years, male, NA, stage:1, alive, 1080 days
1457.2
DO48761
55 years, male, NA, stage:2, alive, 870 days
1455.4
DO45215
65 years, male, NA, stage:2, alive, 1170 days
1449.0
DO45207
68 years, male, NA, stage:1, alive, 1050 days
1444.5
DO50840
49 years, male, NA, stage:2, alive, 330 days
1441.0
DO50818
65 years, male, NA, stage:2, alive, 510 days
1431.6
DO50832
73 years, male, NA, stage:3, alive, 90 days
1431.3
DO23539
77 years, male, NA, stage:1, alive, 1110 days
1425.1
DO48716
71 years, male, NA, stage:2, alive, 720 days
1414.5
DO50787
63 years, male, NA, stage:3, alive, 480 days
1409.1
DO45229
74 years, male, NA, stage:1, alive, 990 days
1408.6
DO50804
81 years, male, NA, stage:2, alive, 720 days
1406.3
DO48721
58 years, female, NA, stage:1, alive, 900 days
1405.1
DO48743
69 years, female, NA, stage:2, alive, 570 days
1392.4
DO50850
74 years, male, NA, stage:3, alive, 720 days
1373.6
DO23535
67 years, male, NA, stage:1, alive, 960 days
1371.5
DO45203
71 years, female, NA, stage:2, alive, 1170 days
1371.2
DO23512
60 years, male, NA, stage:1, alive, 1260 days
1363.0
DO45137
38 years, male, NA, stage:1, alive, 1320 days
1333.9
DO45173
63 years, male, NA, stage:3, alive, 1170 days
1315.3
DO23524
71 years, female, NA, stage:2, alive, 1050 days
1309.0
DO50807
67 years, male, NA, stage:1, alive, 540 days
1303.5
DO45159
65 years, male, NA, stage:3, alive, 1470 days
1282.8
DO45091
56 years, male, NA, stage:2, dead, 1320 days
1265.9
DO45169
74 years, male, NA, stage:3, alive, 1350 days
1259.5
DO23517
62 years, male, NA, stage:2, alive, 1200 days
1238.1
DO227643
79 years, male, NA, stage:2, alive, 1260 days
1203.6
DO50774
68 years, female, NA, stage:2, alive, 720 days
1202.3
DO50803
62 years, female, NA, stage:1, alive, 540 days
1195.2
DO23531
78 years, female, NA, stage:3, alive, 900 days
1179.0
DO45263
67 years, male, NA, stage:3, dead, 270 days
1153.6
DO45235
68 years, female, NA, stage:1, alive, 900 days
1143.3
DO23544
67 years, male, NA, stage:2, alive, 960 days
1106.9
DO23541
65 years, male, NA, stage:2, alive, 930 days
1073.2
DO45099
46 years, male, NA, stage:3, alive, 1590 days
1064.5
DO45197
51 years, male, NA, stage:2, alive, 1170 days
1060.2
DO23538
67 years, male, NA, stage:2, alive, 450 days
1059.6
DO48701
78 years, male, NA, stage:2, alive, 780 days
1052.6
DO48704
68 years, female, NA, stage:3, alive, 750 days
1035.2
DO45129
61 years, male, NA, stage:3, alive, 1470 days
1010.7
DO23518
67 years, male, NA, stage:2, alive, 1320 days
1010.0
DO23551
73 years, male, NA, stage:3, dead, 150 days
986.5
DO45133
64 years, male, NA, stage:3, dead, 660 days
983.7
DO45111
74 years, male, NA, stage:2, alive, 1590 days
981.1
DO23527
72 years, male, NA, stage:1, alive, 1050 days
979.0
DO48695
77 years, male, NA, stage:2, alive, 720 days
966.0
DO48760
70 years, female, NA, stage:2, alive, 690 days
923.2
DO45094
76 years, male, NA, stage:3, alive, 1650 days
920.9
DO45149
70 years, female, NA, stage:2, alive, 1260 days
905.0
DO50845
72 years, male, NA, stage:3, alive, 210 days
888.5
DO45195
62 years, male, NA, stage:1, alive, 390 days
876.1
DO23550
69 years, male, NA, stage:1, alive, 990 days
757.4
DO45101
63 years, male, NA, stage:2, alive, 1680 days
744.2
DO23532
71 years, female, NA, stage:1, alive, 960 days
732.0
DO23534
60 years, male, NA, stage:2, alive, 840 days
678.7
DO23552
80 years, female, NA, stage:1, alive, 810 days
672.5
DO45167
67 years, male, NA, stage:2, dead, 1440 days
660.9
DO45107
63 years, female, NA, stage:2, alive, 1710 days
638.0
DO48742
76 years, male, NA, stage:2, alive, 600 days
573.7
DO45105
61 years, male, NA, stage:1, alive, 1680 days
455.3
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
557
Tumor
0.6
1025
Tumor
0.5
1021
Tumor
0.5
537
Tumor
0.5
965
Tumor
0.5
131
Tumor
0.5
285
Tumor
0.5
685
Tumor
0.5
567
Tumor
0.4
815
Tumor
0.4
223
Tumor
0.4
745
Tumor
0.4
1027
Tumor
0.4
851
Tumor
0.3
214
Normal
0.3
983
Tumor
0.3
523
Tumor
0.3
865
Tumor
0.3
327
Tumor
0.3
314
Normal
0.3
981
Tumor
0.3
957
Tumor
0.3
617
Tumor
0.3
1043
Tumor
0.3
278
Normal
0.3
921
Tumor
0.3
497
Tumor
0.3
937
Tumor
0.2
737
Tumor
0.2
746
Normal
0.2
221
Tumor
0.2
191
Tumor
0.2
636
Normal
0.2
1015
Tumor
0.2
967
Tumor
0.2
1031
Tumor
0.2
558
Normal
0.2
715
Tumor
0.2
1028
Normal
0.2
861
Tumor
0.2
421
Tumor
0.2
955
Tumor
0.2
923
Tumor
0.2
227
Tumor
0.2
422
Normal
0.2
777
Tumor
0.2
436
Normal
0.2
1041
Tumor
0.2
525
Tumor
0.2
564
Normal
0.2
466
Normal
0.2
517
Tumor
0.2
228
Normal
0.2
515
Tumor
0.2
727
Tumor
0.2
533
Tumor
0.2
527
Tumor
0.2
353
Tumor
0.2
817
Tumor
0.2
331
Tumor
0.2
213
Tumor
0.2
755
Tumor
0.2
414
Normal
0.2
218
Normal
0.2
778
Normal
0.2
951
Tumor
0.2
738
Normal
0.1
918
Normal
0.1
412
Normal
0.1
975
Tumor
0.1
473
Tumor
0.1
471
Tumor
0.1
952
Normal
0.1
142
Normal
0.1
277
Tumor
0.1
222
Normal
0.1
743
Tumor
0.1
518
Normal
0.1
367
Tumor
0.1
493
Tumor
0.1
864
Normal
0.1
785
Tumor
0.1
966
Normal
0.1
1026
Normal
0.1
467
Tumor
0.1
1014
Normal
0.1
554
Normal
0.1
443
Tumor
0.1
526
Normal
0.1
284
Normal
0.1
393
Tumor
0.1
455
Tumor
0.1
387
Tumor
0.1
271
Tumor
0.1
915
Tumor
0.1
286
Normal
0.1
616
Normal
0.1
756
Normal
0.1
481
Tumor
0.1
135
Tumor
0.1
664
Normal
0.1
728
Normal
0.1
696
Normal
0.1
956
Normal
0.1
187
Tumor
0.1
563
Tumor
0.1
535
Tumor
0.1
411
Tumor
0.1
312
Normal
0.1
363
Tumor
0.1
572
Normal
0.1
514
Normal
0.1
431
Tumor
0.1
721
Tumor
0.1
823
Tumor
0.1
883
Tumor
0.1
528
Normal
0.1
982
Normal
0.1
878
Normal
0.1
697
Tumor
0.1
977
Tumor
0.1
425
Tumor
0.1
448
Normal
0.1
553
Tumor
0.1
573
Tumor
0.1
462
Normal
0.1
545
Tumor
0.1
355
Tumor
0.1
944
Normal
0.1
426
Normal
0.1
1022
Normal
0.1
984
Normal
0.1
824
Normal
0.1
968
Normal
0.1
852
Normal
0.1
424
Normal
0.1
494
Normal
0.1
461
Tumor
0.1
428
Normal
0.1
392
Normal
0.1
524
Normal
0.1
433
Tumor
0.1
513
Tumor
0.0
628
Normal
0.0
352
Normal
0.0
358
Normal
0.0
136
Normal
0.0
474
Normal
0.0
111
Normal
0.0
212
Normal
0.0
723
Tumor
0.0
128
Normal
0.0
924
Normal
0.0
483
Tumor
0.0
332
Normal
0.0
356
Normal
0.0
724
Normal
0.0
267
Tumor
0.0
813
Tumor
0.0
568
Normal
0.0
362
Normal
0.0
647
Tumor
0.0
432
Normal
0.0
922
Normal
0.0
385
Tumor
0.0
913
Tumor
0.0
686
Normal
0.0
484
Normal
0.0
147
Tumor
0.0
258
Normal
0.0
648
Normal
0.0
742
Normal
0.0
663
Tumor
0.0
816
Normal
0.0
546
Normal
0.0
516
Normal
0.0
232
Normal
0.0
487
Tumor
0.0
786
Normal
0.0
1032
Normal
0.0
492
Normal
0.0
873
Tumor
0.0
413
Tumor
0.0
257
Tumor
0.0
866
Normal
0.0
196
Normal
0.0
137
Tumor
0.0
195
Tumor
0.0
1013
Tumor
0.0
435
Tumor
0.0
354
Normal
0.0
217
Tumor
0.0
926
Normal
0.0
671
Tumor
0.0
261
Tumor
0.0
882
Normal
0.0
1016
Normal
0.0
964
Normal
0.0
113
Tumor
0.0
695
Tumor
0.0
211
Tumor
0.0
943
Tumor
0.0
867
Tumor
0.0
534
Normal
0.0
192
Normal
0.0
698
Normal
0.0
172
Normal
0.0
148
Normal
0.0
468
Normal
0.0
862
Normal
0.0
618
Normal
-0.1
744
Normal
-0.1
434
Normal
-0.1
881
Tumor
-0.1
571
Tumor
-0.1
1046
Normal
-0.1
262
Normal
-0.1
912
Normal
-0.1
427
Tumor
-0.1
1042
Normal
-0.1
342
Normal
-0.1
963
Tumor
-0.1
672
Normal
-0.1
395
Tumor
-0.1
365
Tumor
-0.1
141
Tumor
-0.1
615
Tumor
-0.1
447
Tumor
-0.1
145
Tumor
-0.1
298
Normal
-0.1
376
Normal
-0.1
488
Normal
-0.1
954
Normal
-0.1
1044
Normal
-0.1
394
Normal
-0.1
446
Normal
-0.1
364
Normal
-0.1
477
Tumor
-0.1
716
Normal
-0.1
388
Normal
-0.1
162
Normal
-0.1
953
Tumor
-0.1
574
Normal
-0.1
976
Normal
-0.1
914
Normal
-0.1
368
Normal
-0.1
456
Normal
-0.1
272
Normal
-0.1
938
Normal
-0.1
911
Tumor
-0.1
818
Normal
-0.1
224
Normal
-0.1
464
Normal
-0.1
874
Normal
-0.1
283
Tumor
-0.1
661
Tumor
-0.1
714
Normal
-0.1
536
Normal
-0.1
416
Normal
-0.1
452
Normal
-0.1
415
Tumor
-0.1
713
Tumor
-0.1
482
Normal
-0.1
146
Normal
-0.1
186
Normal
-0.1
857
Tumor
-0.1
423
Tumor
-0.1
916
Normal
-0.1
958
Normal
-0.1
472
Normal
-0.1
123
Tumor
-0.1
391
Tumor
-0.1
386
Normal
-0.1
538
Normal
-0.1
814
Normal
-0.1
114
Normal
-0.2
858
Normal
-0.2
344
Normal
-0.2
463
Tumor
-0.2
396
Normal
-0.2
722
Normal
-0.2
127
Tumor
-0.2
884
Normal
-0.2
357
Tumor
-0.2
665
Tumor
-0.2
465
Tumor
-0.2
188
Normal
-0.2
662
Normal
-0.2
877
Tumor
-0.2
361
Tumor
-0.2
925
Tumor
-0.2
666
Normal
-0.2
132
Normal
-0.2
126
Normal
-0.2
641
Tumor
-0.2
351
Tumor
-0.2
313
Tumor
-0.2
384
Normal
-0.2
444
Normal
-0.2
642
Normal
-0.2
478
Normal
-0.2
268
Normal
-0.2
375
Tumor
-0.2
124
Normal
-0.2
451
Tumor
-0.2
328
Normal
-0.2
978
Normal
-0.2
491
Tumor
-0.2
185
Tumor
-0.2
341
Tumor
-0.2
445
Tumor
-0.2
138
Normal
-0.3
366
Normal
-0.3
297
Tumor
-0.3
343
Tumor
-0.3
868
Normal
-0.3
171
Tumor
-0.3
1045
Tumor
-0.3
161
Tumor
-0.3
311
Tumor
-0.3
741
Tumor
-0.4
627
Tumor
-0.4
863
Tumor
-0.4
635
Tumor
-0.4
231
Tumor
-0.4
112
Tumor
-0.4
498
Normal
-0.4
383
Tumor
-0.5
125
Tumor
-0.5
917
Tumor
-0.6
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LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
