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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.
RPL27 is validated prognostic, high expression is unfavorable 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
1591.2
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
6666.9
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
5721.5
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
4881.6
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
4528.5
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
4479.3
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
4380.3
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
4335.6
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
4239.8
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
4211.9
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
4153.1
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
3868.1
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
3843.2
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
3826.8
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
3690.0
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
3569.9
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
3462.4
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
3422.1
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
3364.3
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
3285.7
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
3238.7
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
3157.5
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
3134.4
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
3082.8
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
3017.2
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
2959.0
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
2952.0
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
2928.7
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
2923.4
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
2901.9
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
2893.6
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
2869.0
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
2848.1
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
2822.7
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
2791.8
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
2730.5
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
2725.5
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
2718.7
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
2703.4
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
2698.7
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
2693.5
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
2692.3
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
2653.9
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
2616.6
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
2609.9
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
2584.2
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
2581.0
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
2554.7
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
2537.7
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
2483.4
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
2480.2
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
2473.7
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
2433.0
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
2433.0
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
2414.4
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
2404.3
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
2377.5
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
2361.7
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
2351.1
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
2337.5
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
2325.0
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
2259.9
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
2229.0
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
2220.0
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
2216.9
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
2199.1
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
2193.5
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
2149.9
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
2149.8
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
2148.8
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
2126.7
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
2105.3
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
2099.6
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
2095.6
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
2086.1
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
2069.2
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
2056.5
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
2055.2
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
2049.1
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
2033.7
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
2028.4
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
2026.5
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
2020.1
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
2019.9
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
2005.9
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
2003.7
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
2002.7
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
1994.2
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
1953.7
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
1950.6
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
1945.3
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
1926.2
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
1919.6
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1903.3
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1899.3
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
1886.7
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
1881.1
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
1877.3
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
1865.8
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
1837.2
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
1835.5
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
1821.6
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
1820.6
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
1812.3
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
1792.3
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
1778.1
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
1777.5
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
1747.8
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
1744.9
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
1735.6
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
1733.1
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
1731.7
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
1712.6
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
1711.6
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
1705.0
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1700.7
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
1694.6
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
1693.2
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
1690.2
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
1688.0
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
1676.0
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1655.6
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1650.1
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
1649.3
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
1648.5
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
1637.6
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
1623.0
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
1622.6
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
1616.5
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
1584.1
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
1576.2
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
1572.2
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
1571.5
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
1566.7
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
1561.2
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1553.8
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
1544.2
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
1535.8
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
1534.3
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
1533.6
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
1533.4
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1530.4
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
1529.9
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
1527.2
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
1526.6
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
1524.8
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
1523.7
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
1517.5
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
1514.1
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
1493.7
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
1489.9
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
1488.9
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
1487.1
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
1487.1
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
1484.7
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1481.9
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
1481.3
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
1463.4
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
1458.0
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
1448.3
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
1447.0
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
1446.3
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
1441.3
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
1428.9
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
1421.0
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
1410.0
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
1405.1
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
1400.0
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
1395.1
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
1384.8
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
1380.4
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
1372.5
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
1365.8
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
1364.1
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
1363.4
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
1355.0
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
1352.7
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
1351.8
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
1350.1
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
1349.8
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
1347.9
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1338.1
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
1336.5
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
1334.2
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
1332.8
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
1331.8
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1330.1
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
1324.5
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
1323.0
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
1319.7
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
1315.7
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
1314.1
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
1311.9
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
1309.7
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
1301.0
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
1283.8
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
1282.9
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
1281.8
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
1280.1
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
1278.0
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
1277.0
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
1270.6
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
1256.8
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
1250.4
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
1248.7
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
1244.2
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
1241.9
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
1231.9
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
1230.5
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
1221.6
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1219.6
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
1219.1
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
1215.0
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
1207.4
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
1207.1
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
1204.7
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
1202.0
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
1197.3
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
1196.8
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
1189.5
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
1187.3
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
1185.0
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
1177.8
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
1172.9
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
1167.0
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
1166.9
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
1157.8
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
1157.1
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
1145.7
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
1145.1
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
1136.7
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
1135.4
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
1135.0
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
1133.6
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
1132.3
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
1130.8
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
1129.9
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
1128.6
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
1122.1
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
1120.5
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
1116.8
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
1116.5
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
1111.8
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
1110.7
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
1103.4
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
1096.7
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
1096.6
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
1092.3
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
1079.3
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
1077.2
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
1077.0
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
1073.8
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
1072.3
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
1057.6
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
1054.4
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
1045.9
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
1040.0
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
1039.6
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
1037.8
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
1037.7
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
1034.0
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
1029.0
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
1026.3
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
1019.9
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
1016.3
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
1014.6
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
1013.5
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1013.4
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
1002.5
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
999.8
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
998.8
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
997.0
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
992.8
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
988.0
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
985.1
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
984.0
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
970.1
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
969.0
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
966.6
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
965.0
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
965.0
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
962.3
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
959.4
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
958.7
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
956.9
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
953.7
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
951.7
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
948.2
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
944.5
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
939.8
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
939.4
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
930.8
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
930.4
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
930.3
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
929.7
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
929.4
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
923.7
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
919.5
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
916.4
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
905.8
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
905.5
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
904.2
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
899.0
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
893.2
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
893.1
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
891.7
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
881.9
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
880.6
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
878.6
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
878.2
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
877.6
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
869.5
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
864.2
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
863.6
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
862.9
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
852.6
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
846.4
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
841.4
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
838.5
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
835.2
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
833.7
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
815.9
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
806.1
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
806.1
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
800.1
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
800.1
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
798.5
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
788.7
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
757.3
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
752.2
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
751.2
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
743.9
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
741.9
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
740.3
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
730.6
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
723.5
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
719.6
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
713.1
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
710.2
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
709.0
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
702.9
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
697.8
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
692.0
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
690.0
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
688.7
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
677.4
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
675.0
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
674.2
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
672.4
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
668.1
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
665.2
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
662.2
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
658.9
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
648.9
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
640.7
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
602.7
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
602.4
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
601.4
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
591.7
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
581.5
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
573.9
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
516.3
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 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.
RPL27 is validated 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
1625.0
Number of samples
231
Samples
Sample
Description
pTPM
DO45285
59 years, male, NA, stage:3, alive, 480 days
6864.5
DO50785
37 years, male, NA, stage:4, dead, 90 days
4346.7
DO50814
83 years, male, NA, stage:3, alive, 420 days
4237.7
DO48747
62 years, male, NA, stage:3, alive, 540 days
4191.3
DO23515
71 years, male, NA, stage:2, alive, 1230 days
4105.4
DO45307
54 years, female, NA, stage:4, dead, 240 days
4103.3
DO48741
64 years, male, NA, stage:3, alive, 240 days
3599.8
DO45303
62 years, female, NA, stage:3, alive, 990 days
3361.4
DO45127
73 years, male, NA, stage:3, dead, 420 days
3284.6
DO50806
70 years, male, NA, stage:4, alive, 540 days
3281.0
DO45209
70 years, male, NA, stage:4, alive, 1350 days
3280.8
DO23519
65 years, male, NA, stage:3, alive, 630 days
3126.3
DO45289
78 years, female, NA, stage:3, alive, 360 days
3046.5
DO45283
60 years, male, NA, stage:3, alive, 510 days
3039.1
DO23508
79 years, female, NA, stage:2, alive, 390 days
2976.6
DO45193
68 years, female, NA, stage:4, dead, 120 days
2958.6
DO23545
67 years, male, NA, stage:2, dead, 570 days
2924.1
DO45305
66 years, male, NA, stage:4, alive, 300 days
2922.6
DO45219
78 years, male, NA, stage:2, alive, 1080 days
2914.6
DO48682
72 years, female, NA, stage:3, dead, 120 days
2856.1
DO23526
66 years, male, NA, stage:3, alive, 1050 days
2743.6
DO45189
85 years, female, NA, stage:2, alive, 1200 days
2734.5
DO45259
65 years, male, NA, stage:3, alive, 330 days
2733.4
DO45145
78 years, male, NA, stage:3, dead, 60 days
2716.5
DO50809
56 years, male, NA, stage:3, dead, 720 days
2650.8
DO45299
70 years, female, NA, stage:1, alive, 1440 days
2603.8
DO45097
69 years, male, NA, stage:3, alive, 1620 days
2587.3
DO23530
53 years, male, NA, stage:4, dead, 180 days
2556.3
DO48697
64 years, female, NA, stage:2, dead, 810 days
2462.4
DO45217
69 years, female, NA, stage:3, dead, 270 days
2412.6
DO48737
52 years, male, NA, stage:1, alive, 720 days
2387.4
DO45281
83 years, male, NA, stage:4, alive, 750 days
2381.2
DO50778
60 years, male, NA, stage:4, alive, 630 days
2378.2
DO45277
64 years, male, NA, stage:3, alive, 600 days
2377.8
DO23525
71 years, male, NA, stage:4, alive, 1050 days
2373.9
DO45251
57 years, female, NA, stage:2, alive, 900 days
2345.6
DO48730
73 years, female, NA, stage:2, alive, 630 days
2339.2
DO45183
72 years, female, NA, stage:2, dead, 570 days
2325.6
DO45297
61 years, female, NA, stage:4, dead, 1260 days
2284.1
DO50855
47 years, male, NA, stage:2, alive, 570 days
2280.3
DO45253
50 years, male, NA, stage:2, alive, 870 days
2261.0
DO45231
84 years, male, NA, stage:2, alive, 930 days
2260.6
DO45173
63 years, male, NA, stage:3, alive, 1170 days
2243.1
DO45131
53 years, male, NA, stage:4, dead, 360 days
2227.9
DO45163
76 years, male, NA, stage:2, alive, 960 days
2210.6
DO45213
58 years, male, NA, stage:1, alive, 1200 days
2202.9
DO45211
76 years, male, NA, stage:3, alive, 240 days
2202.2
DO45161
74 years, male, NA, stage:2, dead, 540 days
2190.0
DO45092
62 years, male, NA, stage:4, dead, 1200 days
2153.9
DO45239
42 years, male, NA, stage:2, alive, 870 days
2153.3
DO50799
66 years, female, NA, stage:2, alive, 540 days
2152.4
DO45287
74 years, male, NA, stage:1, alive, 390 days
2142.3
DO45273
62 years, male, NA, stage:2, alive, 480 days
2141.0
DO48672
81 years, male, NA, stage:2, alive, 450 days
2124.8
DO45221
75 years, female, NA, stage:4, dead, 390 days
2112.7
DO45279
67 years, male, NA, stage:3, alive, 1290 days
2109.2
DO23536
56 years, male, NA, stage:2, alive, 930 days
2103.4
DO45301
56 years, male, NA, stage:2, dead, 1440 days
2085.1
DO45249
57 years, male, NA, stage:1, alive, 630 days
2059.3
DO23533
61 years, male, NA, stage:2, alive, 900 days
2054.1
DO45247
31 years, female, NA, stage:2, alive, 210 days
2038.8
DO45103
47 years, male, NA, stage:3, alive, 450 days
2032.6
DO45139
63 years, male, NA, stage:3, alive, 1320 days
1989.0
DO23521
63 years, male, NA, stage:3, alive, 1110 days
1972.1
DO45205
67 years, female, NA, stage:2, dead, 90 days
1954.3
DO45191
61 years, female, NA, stage:2, alive, 1200 days
1952.0
DO50859
77 years, male, NA, stage:2, alive, 180 days
1920.1
DO45175
74 years, male, NA, stage:2, alive, 1140 days
1918.0
DO45117
73 years, female, NA, stage:2, dead, 1110 days
1914.5
DO48715
58 years, female, NA, stage:2, dead, 690 days
1913.7
DO45165
75 years, male, NA, stage:2, alive, 690 days
1913.0
DO23516
69 years, male, NA, stage:3, dead, 20 days
1910.1
DO48751
68 years, male, NA, stage:2, dead, 480 days
1894.6
DO48759
73 years, male, NA, stage:3, alive, 720 days
1858.5
DO45227
57 years, female, NA, stage:2, alive, 1020 days
1849.1
DO45275
65 years, male, NA, stage:3, dead, 10 days
1840.6
DO48723
73 years, male, NA, stage:1, alive, 600 days
1836.1
DO50791
79 years, female, NA, stage:1, dead, 480 days
1830.8
DO45179
78 years, female, NA, stage:2, alive, 600 days
1830.2
DO45143
69 years, male, NA, stage:3, alive, 1290 days
1821.9
DO23528
45 years, female, NA, stage:2, alive, 1020 days
1813.7
DO45119
74 years, male, NA, stage:3, dead, 510 days
1797.1
DO23537
79 years, male, NA, stage:2, dead, 900 days
1796.0
DO48732
73 years, male, NA, stage:3, alive, 630 days
1788.6
DO45225
69 years, male, NA, stage:1, alive, 1050 days
1781.9
DO48706
72 years, male, NA, stage:2, alive, 870 days
1771.2
DO48746
76 years, male, NA, stage:3, alive, 570 days
1759.3
DO48720
62 years, female, NA, stage:2, alive, 570 days
1754.2
DO48757
68 years, female, NA, stage:3, alive, 480 days
1751.1
DO45095
66 years, male, NA, stage:2, alive, 1620 days
1715.7
DO23511
83 years, female, NA, stage:3, dead, 180 days
1688.7
DO45237
58 years, male, NA, stage:2, alive, 900 days
1677.3
DO45265
73 years, male, NA, stage:3, alive, 1020 days
1660.7
DO45155
69 years, male, NA, stage:2, alive, 2160 days
1646.7
DO50825
70 years, male, NA, stage:2, alive, 390 days
1630.0
DO23543
63 years, male, NA, stage:2, alive, 1020 days
1617.0
DO45149
70 years, female, NA, stage:2, alive, 1260 days
1608.6
DO50815
62 years, male, NA, stage:3, alive, 150 days
1604.0
DO50839
47 years, female, NA, stage:3, alive, 330 days
1602.7
DO45141
73 years, male, NA, stage:2, alive, 1320 days
1594.0
DO23540
73 years, male, NA, stage:1, alive, 750 days
1592.9
DO45135
77 years, male, NA, stage:1, alive, 1410 days
1575.8
DO23523
52 years, male, NA, stage:3, alive, 1080 days
1556.3
DO45157
62 years, male, NA, stage:2, alive, 1980 days
1524.6
DO50793
76 years, male, NA, stage:4, alive, 540 days
1508.6
DO50798
77 years, male, NA, stage:3, dead, 30 days
1500.4
DO50802
49 years, male, NA, stage:2, alive, 930 days
1492.0
DO45187
32 years, female, NA, stage:1, alive, 1260 days
1489.8
DO48681
57 years, male, NA, stage:2, alive, 900 days
1478.0
DO45203
71 years, female, NA, stage:2, alive, 1170 days
1450.6
DO23509
60 years, male, NA, stage:3, dead, 780 days
1440.5
DO45269
59 years, male, NA, stage:3, alive, 750 days
1440.1
DO50805
72 years, male, NA, stage:2, alive, 690 days
1422.5
DO50811
62 years, male, NA, stage:1, alive, 450 days
1410.0
DO23542
66 years, male, NA, stage:3, alive, 960 days
1408.1
DO48733
72 years, male, NA, stage:2, alive, 600 days
1405.4
DO45133
64 years, male, NA, stage:3, dead, 660 days
1393.6
DO48721
58 years, female, NA, stage:1, alive, 900 days
1382.5
DO48717
54 years, male, NA, stage:4, dead, 180 days
1379.6
DO48677
58 years, male, NA, stage:3, alive, 1140 days
1373.9
DO23514
64 years, male, NA, stage:2, alive, 1290 days
1370.1
DO45261
74 years, male, NA, stage:3, alive, 990 days
1366.2
DO45185
89 years, male, NA, stage:2, alive, 600 days
1363.9
DO45093
71 years, male, NA, stage:2, dead, 720 days
1359.9
DO45177
81 years, female, NA, stage:3, alive, 1260 days
1347.8
DO48712
50 years, male, NA, stage:2, alive, 810 days
1340.0
DO48728
74 years, female, NA, stage:2, alive, 150 days
1328.1
DO45113
58 years, male, NA, stage:3, alive, 1560 days
1315.2
DO45123
78 years, female, NA, stage:2, dead, 570 days
1311.8
DO50783
62 years, male, NA, stage:3, alive, 480 days
1306.2
DO45255
81 years, male, NA, stage:3, alive, 720 days
1305.9
DO45115
81 years, male, NA, stage:2, alive, 840 days
1304.7
DO50822
66 years, male, NA, stage:2, alive, 510 days
1300.7
DO48736
76 years, female, NA, stage:1, alive, 600 days
1299.2
DO23510
80 years, female, NA, stage:2, alive, 870 days
1292.9
DO45223
67 years, male, NA, stage:4, alive, 1020 days
1276.9
DO50829
78 years, male, NA, stage:3, alive, 570 days
1276.9
DO45243
74 years, female, NA, stage:3, alive, 930 days
1270.5
DO45245
75 years, female, NA, stage:2, dead, 240 days
1270.4
DO48679
72 years, male, NA, stage:2, alive, 1200 days
1258.3
DO50857
72 years, male, NA, stage:2, alive, 210 days
1258.1
DO50820
77 years, female, NA, stage:3, alive, 510 days
1245.4
DO48704
68 years, female, NA, stage:3, alive, 750 days
1236.3
DO45153
77 years, female, NA, stage:2, alive, 1380 days
1232.8
DO23513
76 years, male, NA, stage:3, alive, 1200 days
1230.0
DO45207
68 years, male, NA, stage:1, alive, 1050 days
1223.6
DO48727
81 years, female, NA, stage:2, dead, 390 days
1219.5
DO50800
74 years, male, NA, stage:2, alive, 510 days
1210.1
DO45201
49 years, male, NA, stage:1, alive, 900 days
1205.0
DO45229
74 years, male, NA, stage:1, alive, 990 days
1198.4
DO23524
71 years, female, NA, stage:2, alive, 1050 days
1179.5
DO45235
68 years, female, NA, stage:1, alive, 900 days
1177.9
DO23541
65 years, male, NA, stage:2, alive, 930 days
1168.3
DO45159
65 years, male, NA, stage:3, alive, 1470 days
1162.6
DO45171
56 years, male, NA, stage:3, alive, 600 days
1152.2
DO48700
78 years, female, NA, stage:2, alive, 810 days
1132.8
DO45199
86 years, female, NA, stage:2, alive, 1350 days
1130.9
DO227643
79 years, male, NA, stage:2, alive, 1260 days
1121.1
DO48695
77 years, male, NA, stage:2, alive, 720 days
1112.4
DO50819
72 years, female, NA, stage:2, alive, 510 days
1094.5
DO45169
74 years, male, NA, stage:3, alive, 1350 days
1083.8
DO50808
68 years, male, NA, stage:2, alive, 570 days
1077.3
DO50776
75 years, male, NA, stage:1, alive, 690 days
1077.1
DO48725
66 years, male, NA, stage:1, alive, 780 days
1066.6
DO45109
63 years, male, NA, stage:2, alive, 1590 days
1065.1
DO45096
69 years, male, NA, stage:2, dead, 1290 days
1063.0
DO50844
75 years, male, NA, stage:4, alive, 300 days
1053.8
DO45181
84 years, female, NA, stage:2, alive, 1200 days
1050.3
DO50813
56 years, male, NA, stage:2, alive, 420 days
1048.1
DO45267
73 years, male, NA, stage:3, dead, 570 days
1044.4
DO45091
56 years, male, NA, stage:2, dead, 1320 days
1044.1
DO45263
67 years, male, NA, stage:3, dead, 270 days
1032.0
DO45257
46 years, male, NA, stage:3, alive, 810 days
1028.7
DO45125
58 years, male, NA, stage:3, alive, 1680 days
1028.5
DO23529
72 years, male, NA, stage:4, alive, 930 days
1004.1
DO48701
78 years, male, NA, stage:2, alive, 780 days
991.3
DO23535
67 years, male, NA, stage:1, alive, 960 days
981.0
DO23518
67 years, male, NA, stage:2, alive, 1320 days
978.8
DO50804
81 years, male, NA, stage:2, alive, 720 days
967.7
DO45137
38 years, male, NA, stage:1, alive, 1320 days
954.0
DO50832
73 years, male, NA, stage:3, alive, 90 days
950.6
DO45121
61 years, male, NA, stage:3, alive, 1530 days
947.7
DO227801
77 years, female, NA, stage:1, alive, 660 days
944.3
DO45197
51 years, male, NA, stage:2, alive, 1170 days
938.0
DO45233
83 years, male, NA, stage:3, alive, 900 days
935.3
DO48719
80 years, male, NA, stage:2, alive, 690 days
929.0
DO50840
49 years, male, NA, stage:2, alive, 330 days
927.8
DO48693
71 years, male, NA, stage:2, alive, 900 days
926.9
DO23512
60 years, male, NA, stage:1, alive, 1260 days
910.1
DO23548
78 years, female, NA, stage:1, alive, 840 days
909.6
DO50816
63 years, male, NA, stage:2, alive, 390 days
903.4
DO50850
74 years, male, NA, stage:3, alive, 720 days
903.0
DO23547
74 years, male, NA, stage:1, alive, 1020 days
900.1
DO23549
74 years, male, NA, stage:3, alive, 990 days
890.5
DO23527
72 years, male, NA, stage:1, alive, 1050 days
889.9
DO23552
80 years, female, NA, stage:1, alive, 810 days
880.9
DO48743
69 years, female, NA, stage:2, alive, 570 days
876.4
DO50817
75 years, male, NA, stage:2, alive, 390 days
875.3
DO50774
68 years, female, NA, stage:2, alive, 720 days
873.7
DO50787
63 years, male, NA, stage:3, alive, 480 days
849.6
DO48716
71 years, male, NA, stage:2, alive, 720 days
849.3
DO50818
65 years, male, NA, stage:2, alive, 510 days
841.8
DO23538
67 years, male, NA, stage:2, alive, 450 days
826.0
DO45099
46 years, male, NA, stage:3, alive, 1590 days
824.9
DO50807
67 years, male, NA, stage:1, alive, 540 days
821.5
DO45129
61 years, male, NA, stage:3, alive, 1470 days
811.6
DO48674
80 years, male, NA, stage:2, alive, 1260 days
790.5
DO48761
55 years, male, NA, stage:2, alive, 870 days
774.2
DO23550
69 years, male, NA, stage:1, alive, 990 days
766.7
DO50789
73 years, female, NA, stage:2, alive, 570 days
765.8
DO23531
78 years, female, NA, stage:3, alive, 900 days
757.3
DO45094
76 years, male, NA, stage:3, alive, 1650 days
739.3
DO45215
65 years, male, NA, stage:2, alive, 1170 days
732.4
DO23546
63 years, male, NA, stage:2, alive, 1050 days
722.9
DO50845
72 years, male, NA, stage:3, alive, 210 days
717.6
DO23517
62 years, male, NA, stage:2, alive, 1200 days
705.7
DO48742
76 years, male, NA, stage:2, alive, 600 days
702.8
DO50803
62 years, female, NA, stage:1, alive, 540 days
694.3
DO23539
77 years, male, NA, stage:1, alive, 1110 days
685.4
DO23551
73 years, male, NA, stage:3, dead, 150 days
665.6
DO23544
67 years, male, NA, stage:2, alive, 960 days
619.8
DO48760
70 years, female, NA, stage:2, alive, 690 days
602.6
DO45195
62 years, male, NA, stage:1, alive, 390 days
594.7
DO45241
49 years, male, NA, stage:1, alive, 1080 days
579.9
DO23532
71 years, female, NA, stage:1, alive, 960 days
576.3
DO23534
60 years, male, NA, stage:2, alive, 840 days
573.2
DO45111
74 years, male, NA, stage:2, alive, 1590 days
503.9
DO45107
63 years, female, NA, stage:2, alive, 1710 days
486.9
DO45101
63 years, male, NA, stage:2, alive, 1680 days
458.2
DO45167
67 years, male, NA, stage:2, dead, 1440 days
408.2
DO45105
61 years, male, NA, stage:1, alive, 1680 days
270.6
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
557
Tumor
0.6
567
Tumor
0.4
327
Tumor
0.4
868
Normal
0.4
851
Tumor
0.4
685
Tumor
0.4
285
Tumor
0.3
467
Tumor
0.3
223
Tumor
0.3
227
Tumor
0.3
786
Normal
0.3
824
Normal
0.3
367
Tumor
0.3
481
Tumor
0.3
777
Tumor
0.3
864
Normal
0.3
728
Normal
0.2
393
Tumor
0.2
353
Tumor
0.2
866
Normal
0.2
815
Tumor
0.2
955
Tumor
0.2
1044
Normal
0.2
135
Tumor
0.2
1021
Tumor
0.2
617
Tumor
0.2
661
Tumor
0.2
984
Normal
0.2
113
Tumor
0.2
131
Tumor
0.2
714
Normal
0.2
818
Normal
0.2
636
Normal
0.2
724
Normal
0.2
448
Normal
0.2
965
Tumor
0.2
528
Normal
0.2
978
Normal
0.2
286
Normal
0.2
778
Normal
0.2
862
Normal
0.2
523
Tumor
0.2
944
Normal
0.2
937
Tumor
0.2
713
Tumor
0.2
412
Normal
0.2
515
Tumor
0.2
145
Tumor
0.2
1046
Normal
0.2
912
Normal
0.2
727
Tumor
0.2
514
Normal
0.2
756
Normal
0.2
745
Tumor
0.2
517
Tumor
0.2
331
Tumor
0.1
356
Normal
0.1
723
Tumor
0.1
462
Normal
0.1
922
Normal
0.1
852
Normal
0.1
721
Tumor
0.1
746
Normal
0.1
785
Tumor
0.1
817
Tumor
0.1
221
Tumor
0.1
1026
Normal
0.1
212
Normal
0.1
858
Normal
0.1
743
Tumor
0.1
284
Normal
0.1
267
Tumor
0.1
413
Tumor
0.1
387
Tumor
0.1
474
Normal
0.1
865
Tumor
0.1
884
Normal
0.1
918
Normal
0.1
534
Normal
0.1
968
Normal
0.1
628
Normal
0.1
526
Normal
0.1
696
Normal
0.1
443
Tumor
0.1
392
Normal
0.1
187
Tumor
0.1
497
Tumor
0.1
352
Normal
0.1
363
Tumor
0.1
951
Tumor
0.1
983
Tumor
0.1
982
Normal
0.1
142
Normal
0.1
738
Normal
0.1
214
Normal
0.1
964
Normal
0.1
537
Tumor
0.1
958
Normal
0.1
466
Normal
0.1
1027
Tumor
0.1
926
Normal
0.1
686
Normal
0.1
874
Normal
0.1
558
Normal
0.1
472
Normal
0.1
1043
Tumor
0.1
195
Tumor
0.1
455
Tumor
0.1
1014
Normal
0.1
568
Normal
0.1
954
Normal
0.1
426
Normal
0.1
722
Normal
0.1
162
Normal
0.1
436
Normal
0.1
414
Normal
0.1
415
Tumor
0.1
257
Tumor
0.1
648
Normal
0.1
172
Normal
0.1
518
Normal
0.1
213
Tumor
0.1
1025
Tumor
0.1
422
Normal
0.1
564
Normal
0.1
952
Normal
0.1
742
Normal
0.1
463
Tumor
0.1
425
Tumor
0.1
358
Normal
0.1
451
Tumor
0.1
421
Tumor
0.1
513
Tumor
0.1
136
Normal
0.1
191
Tumor
0.1
218
Normal
0.1
698
Normal
0.0
228
Normal
0.0
224
Normal
0.0
416
Normal
0.0
737
Tumor
0.0
376
Normal
0.0
482
Normal
0.0
524
Normal
0.0
924
Normal
0.0
572
Normal
0.0
527
Tumor
0.0
431
Tumor
0.0
388
Normal
0.0
546
Normal
0.0
913
Tumor
0.0
571
Tumor
0.0
464
Normal
0.0
432
Normal
0.0
411
Tumor
0.0
385
Tumor
0.0
364
Normal
0.0
1042
Normal
0.0
573
Tumor
0.0
232
Normal
0.0
873
Tumor
0.0
428
Normal
0.0
953
Tumor
0.0
461
Tumor
0.0
923
Tumor
0.0
222
Normal
0.0
813
Tumor
0.0
664
Normal
0.0
128
Normal
0.0
147
Tumor
0.0
966
Normal
0.0
1016
Normal
0.0
616
Normal
0.0
975
Tumor
0.0
921
Tumor
0.0
493
Tumor
0.0
882
Normal
0.0
277
Tumor
0.0
943
Tumor
0.0
186
Normal
0.0
925
Tumor
0.0
271
Tumor
0.0
452
Normal
0.0
755
Tumor
0.0
394
Normal
0.0
427
Tumor
0.0
525
Tumor
0.0
857
Tumor
0.0
967
Tumor
0.0
148
Normal
0.0
494
Normal
0.0
867
Tumor
0.0
328
Normal
0.0
1032
Normal
0.0
545
Tumor
0.0
716
Normal
0.0
484
Normal
0.0
433
Tumor
0.0
1028
Normal
0.0
916
Normal
0.0
1022
Normal
0.0
615
Tumor
0.0
938
Normal
0.0
976
Normal
0.0
424
Normal
0.0
618
Normal
0.0
188
Normal
0.0
314
Normal
0.0
114
Normal
0.0
863
Tumor
0.0
211
Tumor
0.0
478
Normal
0.0
488
Normal
0.0
878
Normal
0.0
447
Tumor
0.0
446
Normal
0.0
434
Normal
0.0
362
Normal
0.0
196
Normal
0.0
123
Tumor
0.0
258
Normal
0.0
814
Normal
0.0
395
Tumor
0.0
355
Tumor
0.0
386
Normal
0.0
563
Tumor
0.0
124
Normal
0.0
671
Tumor
0.0
278
Normal
0.0
354
Normal
-0.1
137
Tumor
-0.1
468
Normal
-0.1
262
Normal
-0.1
957
Tumor
-0.1
111
Normal
-0.1
185
Tumor
-0.1
344
Normal
-0.1
823
Tumor
-0.1
375
Tumor
-0.1
351
Tumor
-0.1
642
Normal
-0.1
498
Normal
-0.1
132
Normal
-0.1
342
Normal
-0.1
981
Tumor
-0.1
672
Normal
-0.1
138
Normal
-0.1
553
Tumor
-0.1
915
Tumor
-0.1
647
Tumor
-0.1
956
Normal
-0.1
816
Normal
-0.1
574
Normal
-0.1
471
Tumor
-0.1
861
Tumor
-0.1
665
Tumor
-0.1
261
Tumor
-0.1
217
Tumor
-0.1
384
Normal
-0.1
554
Normal
-0.1
1015
Tumor
-0.1
127
Tumor
-0.1
516
Normal
-0.1
231
Tumor
-0.1
312
Normal
-0.1
456
Normal
-0.1
112
Tumor
-0.1
662
Normal
-0.1
391
Tumor
-0.1
881
Tumor
-0.1
126
Normal
-0.1
396
Normal
-0.1
641
Tumor
-0.1
272
Normal
-0.1
715
Tumor
-0.1
171
Tumor
-0.1
477
Tumor
-0.1
298
Normal
-0.1
365
Tumor
-0.1
483
Tumor
-0.1
663
Tumor
-0.1
492
Normal
-0.1
435
Tumor
-0.1
635
Tumor
-0.1
332
Normal
-0.1
341
Tumor
-0.1
883
Tumor
-0.1
445
Tumor
-0.1
423
Tumor
-0.1
917
Tumor
-0.1
744
Normal
-0.1
914
Normal
-0.1
487
Tumor
-0.2
283
Tumor
-0.2
697
Tumor
-0.2
666
Normal
-0.2
465
Tumor
-0.2
268
Normal
-0.2
1031
Tumor
-0.2
536
Normal
-0.2
361
Tumor
-0.2
366
Normal
-0.2
963
Tumor
-0.2
161
Tumor
-0.2
444
Normal
-0.2
297
Tumor
-0.2
627
Tumor
-0.2
538
Normal
-0.2
533
Tumor
-0.2
146
Normal
-0.2
1045
Tumor
-0.2
343
Tumor
-0.2
535
Tumor
-0.2
368
Normal
-0.2
141
Tumor
-0.2
357
Tumor
-0.3
911
Tumor
-0.3
977
Tumor
-0.3
473
Tumor
-0.3
125
Tumor
-0.3
313
Tumor
-0.3
877
Tumor
-0.3
192
Normal
-0.3
383
Tumor
-0.3
1041
Tumor
-0.3
695
Tumor
-0.4
491
Tumor
-0.4
741
Tumor
-0.4
311
Tumor
-0.5
1013
Tumor
-0.5
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LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.