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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.
RPL7 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
1691.5
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
7664.0
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
7295.3
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
7009.1
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
5802.8
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
5571.2
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
5308.3
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
5265.9
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
5067.2
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
4848.1
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
4801.6
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
4667.8
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
4644.8
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
4644.1
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
4586.5
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
4518.4
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
4219.0
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
4152.5
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
4121.0
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
4048.7
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
3802.3
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
3790.5
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
3779.6
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
3751.2
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
3670.8
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
3622.9
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
3618.0
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
3580.3
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
3547.3
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
3499.1
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
3491.6
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
3437.0
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
3425.0
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
3400.2
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
3352.9
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
3352.9
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
3346.7
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
3271.3
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
3176.6
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
3160.0
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
3089.3
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
3062.4
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
3026.4
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
2977.2
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
2927.3
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
2886.8
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
2874.9
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
2868.5
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
2867.6
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
2805.5
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
2804.8
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
2785.5
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
2743.1
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
2702.7
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
2693.1
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
2688.6
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
2683.0
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
2659.8
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
2652.4
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
2632.9
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
2630.8
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
2624.6
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
2616.6
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
2596.8
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
2596.0
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
2579.8
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
2550.7
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
2507.5
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
2493.6
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
2484.9
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
2484.2
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
2470.5
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
2464.3
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
2452.1
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
2429.8
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
2428.7
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
2425.6
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
2410.8
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
2403.6
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
2385.4
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
2362.8
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
2362.3
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
2357.6
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
2342.5
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
2334.7
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
2309.3
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
2260.0
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
2253.0
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
2250.1
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
2238.9
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
2218.9
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
2194.9
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
2179.7
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
2141.4
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
2119.9
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
2100.2
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
2094.7
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
2091.0
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
2073.2
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
2044.1
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
2043.7
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
2037.1
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
2013.7
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
2011.8
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
2008.7
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
2000.9
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
1998.5
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
1938.2
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
1934.8
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
1882.5
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
1850.5
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
1847.8
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
1835.9
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
1834.6
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
1831.1
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
1805.3
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
1775.9
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
1772.3
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
1753.4
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
1735.6
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
1734.5
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
1728.5
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
1724.1
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
1709.6
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
1692.3
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
1669.7
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
1669.7
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
1668.8
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1667.5
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
1667.2
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
1667.1
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
1661.2
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
1659.5
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
1656.9
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
1605.3
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
1583.6
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
1579.0
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
1569.7
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1563.9
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
1543.7
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
1542.1
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
1540.2
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1539.9
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
1528.0
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
1527.8
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
1512.6
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
1508.8
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
1508.0
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
1506.0
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
1505.8
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1499.7
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
1499.6
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
1490.8
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
1489.1
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
1486.3
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
1475.4
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
1470.6
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
1460.3
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
1458.5
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
1458.5
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1440.1
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
1435.2
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
1433.9
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
1422.4
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
1418.4
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
1412.3
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
1411.4
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
1404.2
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
1401.1
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
1399.6
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1393.8
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
1383.9
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
1380.5
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
1379.7
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
1379.6
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1366.4
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
1363.3
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
1362.6
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
1355.8
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
1355.2
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
1354.9
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
1343.3
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
1339.4
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
1332.8
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
1331.9
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
1331.5
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
1330.1
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
1329.7
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
1325.7
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
1314.0
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
1306.8
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
1306.6
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
1305.0
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
1299.0
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
1292.6
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
1281.6
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
1280.0
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
1279.8
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
1279.2
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
1274.4
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
1268.7
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
1264.7
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1264.4
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
1264.2
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
1260.4
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1255.1
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
1253.3
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
1251.4
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
1249.8
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
1240.8
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
1238.7
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
1237.8
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
1225.6
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
1220.8
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
1219.7
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
1216.2
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
1186.2
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
1182.2
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
1181.4
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
1162.5
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
1161.9
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
1139.8
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
1139.1
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
1122.4
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
1114.0
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
1106.9
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
1103.1
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
1100.3
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
1096.4
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
1094.6
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
1089.6
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
1082.4
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
1078.0
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
1071.9
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
1060.3
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
1058.0
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
1051.6
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
1049.3
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
1039.8
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
1038.1
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
1030.9
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
1026.5
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
1024.5
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
1014.5
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
1009.5
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1005.9
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
1005.1
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
1000.3
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
997.7
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
988.0
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
983.4
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
982.1
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
972.5
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
972.1
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
972.0
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
968.5
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
965.7
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
953.9
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
950.8
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
950.2
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
949.4
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
942.9
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
939.9
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
937.9
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
935.3
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
934.6
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
932.2
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
921.1
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
919.9
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
919.2
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
913.3
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
906.8
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
899.1
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
886.8
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
886.7
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
883.3
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
882.3
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
876.3
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
874.8
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
870.8
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
869.4
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
863.8
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
863.6
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
836.4
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
834.3
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
826.2
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
815.0
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
814.8
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
812.2
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
810.0
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
809.4
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
805.6
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
802.0
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
798.6
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
791.0
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
784.6
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
782.0
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
780.8
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
778.7
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
775.6
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
759.2
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
757.5
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
755.6
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
753.9
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
742.2
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
729.3
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
721.2
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
715.0
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
707.3
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
705.4
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
700.7
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
696.9
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
693.7
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
688.7
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
681.2
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
670.7
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
661.5
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
659.1
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
659.0
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
657.7
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
656.7
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
652.9
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
650.6
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
649.3
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
648.6
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
645.1
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
628.6
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
623.8
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
619.3
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
616.9
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
609.0
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
599.0
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
593.4
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
591.4
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
588.2
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
582.4
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
582.2
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
568.3
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
561.3
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
557.1
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
546.4
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
538.1
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
536.0
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
527.2
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
524.7
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
524.1
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
519.5
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
514.3
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
509.2
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
508.8
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
507.1
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
502.9
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
498.7
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
498.2
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
489.3
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
479.8
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
478.0
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
474.6
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
419.4
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
415.3
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
401.9
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
350.6
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 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.
RPL7 is not prognostic in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 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
2379.1
Number of samples
231
Samples
Sample
Description
pTPM
DO50785
37 years, male, NA, stage:4, dead, 90 days
13413.7
DO50778
60 years, male, NA, stage:4, alive, 630 days
13380.8
DO45269
59 years, male, NA, stage:3, alive, 750 days
10620.7
DO45165
75 years, male, NA, stage:2, alive, 690 days
9168.3
DO48672
81 years, male, NA, stage:2, alive, 450 days
7517.5
DO45279
67 years, male, NA, stage:3, alive, 1290 days
7054.5
DO45161
74 years, male, NA, stage:2, dead, 540 days
6838.6
DO50806
70 years, male, NA, stage:4, alive, 540 days
6543.5
DO45093
71 years, male, NA, stage:2, dead, 720 days
6522.7
DO45247
31 years, female, NA, stage:2, alive, 210 days
6496.1
DO45097
69 years, male, NA, stage:3, alive, 1620 days
5896.9
DO50859
77 years, male, NA, stage:2, alive, 180 days
5883.8
DO45251
57 years, female, NA, stage:2, alive, 900 days
5732.1
DO45221
75 years, female, NA, stage:4, dead, 390 days
5621.5
DO50805
72 years, male, NA, stage:2, alive, 690 days
5502.8
DO23519
65 years, male, NA, stage:3, alive, 630 days
5447.5
DO45267
73 years, male, NA, stage:3, dead, 570 days
5439.2
DO45169
74 years, male, NA, stage:3, alive, 1350 days
5391.9
DO45239
42 years, male, NA, stage:2, alive, 870 days
5234.1
DO45189
85 years, female, NA, stage:2, alive, 1200 days
5221.2
DO45303
62 years, female, NA, stage:3, alive, 990 days
4889.3
DO23525
71 years, male, NA, stage:4, alive, 1050 days
4845.0
DO50811
62 years, male, NA, stage:1, alive, 450 days
4818.8
DO45143
69 years, male, NA, stage:3, alive, 1290 days
4784.7
DO45285
59 years, male, NA, stage:3, alive, 480 days
4763.5
DO45259
65 years, male, NA, stage:3, alive, 330 days
4657.9
DO48723
73 years, male, NA, stage:1, alive, 600 days
4619.7
DO23516
69 years, male, NA, stage:3, dead, 20 days
4430.9
DO48730
73 years, female, NA, stage:2, alive, 630 days
4406.0
DO45299
70 years, female, NA, stage:1, alive, 1440 days
4353.6
DO50822
66 years, male, NA, stage:2, alive, 510 days
4277.5
DO45211
76 years, male, NA, stage:3, alive, 240 days
4218.2
DO23521
63 years, male, NA, stage:3, alive, 1110 days
4111.7
DO48736
76 years, female, NA, stage:1, alive, 600 days
4086.0
DO45289
78 years, female, NA, stage:3, alive, 360 days
4069.3
DO45095
66 years, male, NA, stage:2, alive, 1620 days
3990.5
DO45305
66 years, male, NA, stage:4, alive, 300 days
3940.3
DO45265
73 years, male, NA, stage:3, alive, 1020 days
3934.8
DO45183
72 years, female, NA, stage:2, dead, 570 days
3891.6
DO48751
68 years, male, NA, stage:2, dead, 480 days
3820.1
DO23530
53 years, male, NA, stage:4, dead, 180 days
3799.8
DO45187
32 years, female, NA, stage:1, alive, 1260 days
3786.5
DO45193
68 years, female, NA, stage:4, dead, 120 days
3744.1
DO45173
63 years, male, NA, stage:3, alive, 1170 days
3535.1
DO45283
60 years, male, NA, stage:3, alive, 510 days
3506.2
DO45163
76 years, male, NA, stage:2, alive, 960 days
3463.5
DO48682
72 years, female, NA, stage:3, dead, 120 days
3450.1
DO45191
61 years, female, NA, stage:2, alive, 1200 days
3365.9
DO45171
56 years, male, NA, stage:3, alive, 600 days
3293.9
DO45205
67 years, female, NA, stage:2, dead, 90 days
3217.0
DO50850
74 years, male, NA, stage:3, alive, 720 days
3180.0
DO48697
64 years, female, NA, stage:2, dead, 810 days
3147.3
DO45249
57 years, male, NA, stage:1, alive, 630 days
3062.3
DO48720
62 years, female, NA, stage:2, alive, 570 days
2967.7
DO23515
71 years, male, NA, stage:2, alive, 1230 days
2949.6
DO23533
61 years, male, NA, stage:2, alive, 900 days
2925.3
DO45091
56 years, male, NA, stage:2, dead, 1320 days
2866.6
DO50799
66 years, female, NA, stage:2, alive, 540 days
2830.2
DO45217
69 years, female, NA, stage:3, dead, 270 days
2794.9
DO227801
77 years, female, NA, stage:1, alive, 660 days
2756.3
DO48747
62 years, male, NA, stage:3, alive, 540 days
2742.9
DO45103
47 years, male, NA, stage:3, alive, 450 days
2734.8
DO45135
77 years, male, NA, stage:1, alive, 1410 days
2711.4
DO48706
72 years, male, NA, stage:2, alive, 870 days
2710.7
DO45307
54 years, female, NA, stage:4, dead, 240 days
2708.8
DO23545
67 years, male, NA, stage:2, dead, 570 days
2702.5
DO48715
58 years, female, NA, stage:2, dead, 690 days
2695.7
DO45157
62 years, male, NA, stage:2, alive, 1980 days
2685.0
DO45231
84 years, male, NA, stage:2, alive, 930 days
2649.4
DO45203
71 years, female, NA, stage:2, alive, 1170 days
2611.9
DO23510
80 years, female, NA, stage:2, alive, 870 days
2552.1
DO45127
73 years, male, NA, stage:3, dead, 420 days
2533.6
DO50839
47 years, female, NA, stage:3, alive, 330 days
2525.3
DO45297
61 years, female, NA, stage:4, dead, 1260 days
2524.8
DO45273
62 years, male, NA, stage:2, alive, 480 days
2518.0
DO23508
79 years, female, NA, stage:2, alive, 390 days
2514.5
DO45253
50 years, male, NA, stage:2, alive, 870 days
2507.6
DO50814
83 years, male, NA, stage:3, alive, 420 days
2461.1
DO45219
78 years, male, NA, stage:2, alive, 1080 days
2451.4
DO23542
66 years, male, NA, stage:3, alive, 960 days
2437.9
DO45287
74 years, male, NA, stage:1, alive, 390 days
2413.7
DO45121
61 years, male, NA, stage:3, alive, 1530 days
2412.1
DO45199
86 years, female, NA, stage:2, alive, 1350 days
2399.0
DO48727
81 years, female, NA, stage:2, dead, 390 days
2362.6
DO48737
52 years, male, NA, stage:1, alive, 720 days
2310.6
DO45225
69 years, male, NA, stage:1, alive, 1050 days
2280.6
DO48677
58 years, male, NA, stage:3, alive, 1140 days
2256.4
DO48700
78 years, female, NA, stage:2, alive, 810 days
2252.6
DO23529
72 years, male, NA, stage:4, alive, 930 days
2249.2
DO48757
68 years, female, NA, stage:3, alive, 480 days
2248.4
DO45141
73 years, male, NA, stage:2, alive, 1320 days
2221.5
DO45223
67 years, male, NA, stage:4, alive, 1020 days
2187.2
DO45243
74 years, female, NA, stage:3, alive, 930 days
2166.2
DO50809
56 years, male, NA, stage:3, dead, 720 days
2164.3
DO48725
66 years, male, NA, stage:1, alive, 780 days
2129.9
DO45257
46 years, male, NA, stage:3, alive, 810 days
2117.5
DO23528
45 years, female, NA, stage:2, alive, 1020 days
2111.3
DO45113
58 years, male, NA, stage:3, alive, 1560 days
2042.8
DO23537
79 years, male, NA, stage:2, dead, 900 days
2002.7
DO50844
75 years, male, NA, stage:4, alive, 300 days
1997.5
DO50820
77 years, female, NA, stage:3, alive, 510 days
1983.2
DO48728
74 years, female, NA, stage:2, alive, 150 days
1961.6
DO50825
70 years, male, NA, stage:2, alive, 390 days
1956.2
DO45175
74 years, male, NA, stage:2, alive, 1140 days
1945.2
DO45213
58 years, male, NA, stage:1, alive, 1200 days
1902.4
DO45277
64 years, male, NA, stage:3, alive, 600 days
1870.6
DO45237
58 years, male, NA, stage:2, alive, 900 days
1857.6
DO48741
64 years, male, NA, stage:3, alive, 240 days
1855.1
DO45261
74 years, male, NA, stage:3, alive, 990 days
1851.5
DO23523
52 years, male, NA, stage:3, alive, 1080 days
1842.9
DO48695
77 years, male, NA, stage:2, alive, 720 days
1816.6
DO50791
79 years, female, NA, stage:1, dead, 480 days
1808.8
DO45155
69 years, male, NA, stage:2, alive, 2160 days
1802.9
DO45119
74 years, male, NA, stage:3, dead, 510 days
1791.1
DO23536
56 years, male, NA, stage:2, alive, 930 days
1786.5
DO45201
49 years, male, NA, stage:1, alive, 900 days
1756.3
DO48733
72 years, male, NA, stage:2, alive, 600 days
1752.2
DO45227
57 years, female, NA, stage:2, alive, 1020 days
1750.2
DO45139
63 years, male, NA, stage:3, alive, 1320 days
1736.5
DO50829
78 years, male, NA, stage:3, alive, 570 days
1732.7
DO48712
50 years, male, NA, stage:2, alive, 810 days
1728.2
DO45133
64 years, male, NA, stage:3, dead, 660 days
1724.7
DO48759
73 years, male, NA, stage:3, alive, 720 days
1713.2
DO50802
49 years, male, NA, stage:2, alive, 930 days
1662.2
DO50798
77 years, male, NA, stage:3, dead, 30 days
1657.6
DO50793
76 years, male, NA, stage:4, alive, 540 days
1641.5
DO50783
62 years, male, NA, stage:3, alive, 480 days
1639.7
DO48681
57 years, male, NA, stage:2, alive, 900 days
1623.1
DO50776
75 years, male, NA, stage:1, alive, 690 days
1621.1
DO50857
72 years, male, NA, stage:2, alive, 210 days
1607.0
DO45281
83 years, male, NA, stage:4, alive, 750 days
1594.7
DO23543
63 years, male, NA, stage:2, alive, 1020 days
1563.9
DO50803
62 years, female, NA, stage:1, alive, 540 days
1561.2
DO48732
73 years, male, NA, stage:3, alive, 630 days
1560.1
DO45229
74 years, male, NA, stage:1, alive, 990 days
1551.1
DO50816
63 years, male, NA, stage:2, alive, 390 days
1546.4
DO45301
56 years, male, NA, stage:2, dead, 1440 days
1545.4
DO50804
81 years, male, NA, stage:2, alive, 720 days
1544.6
DO45145
78 years, male, NA, stage:3, dead, 60 days
1536.4
DO45185
89 years, male, NA, stage:2, alive, 600 days
1511.0
DO50800
74 years, male, NA, stage:2, alive, 510 days
1499.0
DO45153
77 years, female, NA, stage:2, alive, 1380 days
1479.8
DO48717
54 years, male, NA, stage:4, dead, 180 days
1478.1
DO48704
68 years, female, NA, stage:3, alive, 750 days
1463.2
DO48746
76 years, male, NA, stage:3, alive, 570 days
1449.7
DO50855
47 years, male, NA, stage:2, alive, 570 days
1426.8
DO50818
65 years, male, NA, stage:2, alive, 510 days
1424.6
DO23514
64 years, male, NA, stage:2, alive, 1290 days
1337.8
DO45149
70 years, female, NA, stage:2, alive, 1260 days
1327.4
DO45177
81 years, female, NA, stage:3, alive, 1260 days
1311.9
DO45179
78 years, female, NA, stage:2, alive, 600 days
1311.8
DO45117
73 years, female, NA, stage:2, dead, 1110 days
1303.4
DO45099
46 years, male, NA, stage:3, alive, 1590 days
1299.0
DO45137
38 years, male, NA, stage:1, alive, 1320 days
1297.1
DO45275
65 years, male, NA, stage:3, dead, 10 days
1287.6
DO45115
81 years, male, NA, stage:2, alive, 840 days
1283.9
DO45233
83 years, male, NA, stage:3, alive, 900 days
1279.2
DO45109
63 years, male, NA, stage:2, alive, 1590 days
1276.4
DO48719
80 years, male, NA, stage:2, alive, 690 days
1276.4
DO23540
73 years, male, NA, stage:1, alive, 750 days
1269.4
DO50832
73 years, male, NA, stage:3, alive, 90 days
1265.3
DO23538
67 years, male, NA, stage:2, alive, 450 days
1259.0
DO48743
69 years, female, NA, stage:2, alive, 570 days
1255.9
DO45092
62 years, male, NA, stage:4, dead, 1200 days
1240.6
DO23511
83 years, female, NA, stage:3, dead, 180 days
1227.6
DO23546
63 years, male, NA, stage:2, alive, 1050 days
1226.5
DO50815
62 years, male, NA, stage:3, alive, 150 days
1224.1
DO45159
65 years, male, NA, stage:3, alive, 1470 days
1211.8
DO45181
84 years, female, NA, stage:2, alive, 1200 days
1199.2
DO23541
65 years, male, NA, stage:2, alive, 930 days
1179.8
DO50774
68 years, female, NA, stage:2, alive, 720 days
1176.4
DO48716
71 years, male, NA, stage:2, alive, 720 days
1156.6
DO45131
53 years, male, NA, stage:4, dead, 360 days
1136.2
DO23535
67 years, male, NA, stage:1, alive, 960 days
1135.0
DO50789
73 years, female, NA, stage:2, alive, 570 days
1127.7
DO23518
67 years, male, NA, stage:2, alive, 1320 days
1109.5
DO48679
72 years, male, NA, stage:2, alive, 1200 days
1091.4
DO50807
67 years, male, NA, stage:1, alive, 540 days
1088.6
DO45123
78 years, female, NA, stage:2, dead, 570 days
1080.5
DO23524
71 years, female, NA, stage:2, alive, 1050 days
1076.8
DO50819
72 years, female, NA, stage:2, alive, 510 days
1069.4
DO23547
74 years, male, NA, stage:1, alive, 1020 days
1065.3
DO45263
67 years, male, NA, stage:3, dead, 270 days
1053.3
DO50808
68 years, male, NA, stage:2, alive, 570 days
1029.4
DO45207
68 years, male, NA, stage:1, alive, 1050 days
1027.5
DO23513
76 years, male, NA, stage:3, alive, 1200 days
986.6
DO23549
74 years, male, NA, stage:3, alive, 990 days
981.8
DO45096
69 years, male, NA, stage:2, dead, 1290 days
970.3
DO23509
60 years, male, NA, stage:3, dead, 780 days
960.5
DO50787
63 years, male, NA, stage:3, alive, 480 days
959.3
DO23517
62 years, male, NA, stage:2, alive, 1200 days
947.1
DO48761
55 years, male, NA, stage:2, alive, 870 days
940.3
DO23531
78 years, female, NA, stage:3, alive, 900 days
935.0
DO45235
68 years, female, NA, stage:1, alive, 900 days
933.7
DO50840
49 years, male, NA, stage:2, alive, 330 days
931.7
DO45241
49 years, male, NA, stage:1, alive, 1080 days
928.8
DO227643
79 years, male, NA, stage:2, alive, 1260 days
925.6
DO23527
72 years, male, NA, stage:1, alive, 1050 days
923.1
DO23526
66 years, male, NA, stage:3, alive, 1050 days
905.9
DO45255
81 years, male, NA, stage:3, alive, 720 days
895.6
DO48721
58 years, female, NA, stage:1, alive, 900 days
878.6
DO45197
51 years, male, NA, stage:2, alive, 1170 days
876.5
DO48674
80 years, male, NA, stage:2, alive, 1260 days
861.5
DO45094
76 years, male, NA, stage:3, alive, 1650 days
857.3
DO50845
72 years, male, NA, stage:3, alive, 210 days
828.4
DO50817
75 years, male, NA, stage:2, alive, 390 days
825.2
DO50813
56 years, male, NA, stage:2, alive, 420 days
818.7
DO48742
76 years, male, NA, stage:2, alive, 600 days
801.1
DO23551
73 years, male, NA, stage:3, dead, 150 days
791.0
DO23548
78 years, female, NA, stage:1, alive, 840 days
774.0
DO48693
71 years, male, NA, stage:2, alive, 900 days
766.8
DO45245
75 years, female, NA, stage:2, dead, 240 days
761.2
DO45215
65 years, male, NA, stage:2, alive, 1170 days
740.4
DO45125
58 years, male, NA, stage:3, alive, 1680 days
714.2
DO23512
60 years, male, NA, stage:1, alive, 1260 days
693.5
DO48760
70 years, female, NA, stage:2, alive, 690 days
687.8
DO23544
67 years, male, NA, stage:2, alive, 960 days
668.7
DO23552
80 years, female, NA, stage:1, alive, 810 days
663.4
DO45129
61 years, male, NA, stage:3, alive, 1470 days
657.8
DO45195
62 years, male, NA, stage:1, alive, 390 days
630.3
DO23550
69 years, male, NA, stage:1, alive, 990 days
599.5
DO48701
78 years, male, NA, stage:2, alive, 780 days
588.1
DO45111
74 years, male, NA, stage:2, alive, 1590 days
550.0
DO45209
70 years, male, NA, stage:4, alive, 1350 days
523.8
DO23539
77 years, male, NA, stage:1, alive, 1110 days
504.2
DO23534
60 years, male, NA, stage:2, alive, 840 days
478.8
DO45101
63 years, male, NA, stage:2, alive, 1680 days
459.7
DO23532
71 years, female, NA, stage:1, alive, 960 days
307.1
DO45107
63 years, female, NA, stage:2, alive, 1710 days
267.0
DO45167
67 years, male, NA, stage:2, dead, 1440 days
261.4
DO45105
61 years, male, NA, stage:1, alive, 1680 days
137.5
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
557
Tumor
0.7
537
Tumor
0.5
285
Tumor
0.4
113
Tumor
0.4
367
Tumor
0.4
567
Tumor
0.4
327
Tumor
0.4
223
Tumor
0.4
851
Tumor
0.3
1021
Tumor
0.3
467
Tumor
0.3
685
Tumor
0.3
131
Tumor
0.3
965
Tumor
0.3
135
Tumor
0.3
497
Tumor
0.3
661
Tumor
0.3
413
Tumor
0.3
815
Tumor
0.3
331
Tumor
0.3
545
Tumor
0.3
395
Tumor
0.3
443
Tumor
0.3
448
Normal
0.3
353
Tumor
0.3
267
Tumor
0.3
494
Normal
0.3
393
Tumor
0.2
1027
Tumor
0.2
136
Normal
0.2
983
Tumor
0.2
824
Normal
0.2
1032
Normal
0.2
636
Normal
0.2
232
Normal
0.2
1044
Normal
0.2
944
Normal
0.2
756
Normal
0.2
528
Normal
0.2
227
Tumor
0.2
387
Tumor
0.2
1014
Normal
0.2
858
Normal
0.2
955
Tumor
0.2
617
Tumor
0.2
488
Normal
0.2
466
Normal
0.2
1026
Normal
0.2
535
Tumor
0.2
852
Normal
0.2
376
Normal
0.2
484
Normal
0.2
358
Normal
0.2
1025
Tumor
0.2
421
Tumor
0.2
671
Tumor
0.2
342
Normal
0.2
214
Normal
0.2
195
Tumor
0.2
257
Tumor
0.2
427
Tumor
0.2
727
Tumor
0.2
926
Normal
0.2
493
Tumor
0.2
777
Tumor
0.2
922
Normal
0.2
523
Tumor
0.2
778
Normal
0.2
534
Normal
0.2
984
Normal
0.2
123
Tumor
0.2
738
Normal
0.2
937
Tumor
0.2
481
Tumor
0.2
755
Tumor
0.1
172
Normal
0.1
568
Normal
0.1
573
Tumor
0.1
124
Normal
0.1
951
Tumor
0.1
422
Normal
0.1
648
Normal
0.1
128
Normal
0.1
724
Normal
0.1
862
Normal
0.1
1022
Normal
0.1
112
Tumor
0.1
451
Tumor
0.1
912
Normal
0.1
864
Normal
0.1
344
Normal
0.1
865
Tumor
0.1
132
Normal
0.1
142
Normal
0.1
527
Tumor
0.1
114
Normal
0.1
356
Normal
0.1
231
Tumor
0.1
145
Tumor
0.1
938
Normal
0.1
431
Tumor
0.1
818
Normal
0.1
111
Normal
0.1
187
Tumor
0.1
721
Tumor
0.1
981
Tumor
0.1
1042
Normal
0.1
964
Normal
0.1
558
Normal
0.1
697
Tumor
0.1
723
Tumor
0.1
483
Tumor
0.1
262
Normal
0.1
385
Tumor
0.1
525
Tumor
0.1
745
Tumor
0.1
746
Normal
0.1
258
Normal
0.1
868
Normal
0.1
866
Normal
0.1
952
Normal
0.1
817
Tumor
0.1
515
Tumor
0.1
628
Normal
0.1
1031
Tumor
0.1
286
Normal
0.1
426
Normal
0.1
785
Tumor
0.1
1016
Normal
0.1
352
Normal
0.1
662
Normal
0.1
533
Tumor
0.1
514
Normal
0.1
138
Normal
0.1
743
Tumor
0.1
392
Normal
0.1
137
Tumor
0.1
1046
Normal
0.1
728
Normal
0.1
462
Normal
0.1
967
Tumor
0.1
414
Normal
0.1
186
Normal
0.1
572
Normal
0.1
918
Normal
0.1
268
Normal
0.1
221
Tumor
0.1
272
Normal
0.1
517
Tumor
0.1
455
Tumor
0.1
696
Normal
0.1
375
Tumor
0.1
162
Normal
0.1
351
Tumor
0.1
171
Tumor
0.1
433
Tumor
0.1
664
Normal
0.1
228
Normal
0.1
1028
Normal
0.1
873
Tumor
0.1
857
Tumor
0.1
452
Normal
0.1
492
Normal
0.1
968
Normal
0.1
616
Normal
0.1
298
Normal
0.1
966
Normal
0.1
518
Normal
0.1
953
Tumor
0.1
213
Tumor
0.1
564
Normal
0.1
618
Normal
0.1
526
Normal
0.1
571
Tumor
0.1
434
Normal
0.1
686
Normal
0.1
362
Normal
0.1
436
Normal
0.1
957
Tumor
0.1
698
Normal
0.1
127
Tumor
0.1
1043
Tumor
0.1
665
Tumor
0.1
546
Normal
0.1
423
Tumor
0.1
882
Normal
0.1
465
Tumor
0.1
212
Normal
0.1
742
Normal
0.1
714
Normal
0.0
218
Normal
0.0
786
Normal
0.0
425
Tumor
0.0
446
Normal
0.0
126
Normal
0.0
958
Normal
0.0
148
Normal
0.0
916
Normal
0.0
816
Normal
0.0
196
Normal
0.0
554
Normal
0.0
147
Tumor
0.0
271
Tumor
0.0
191
Tumor
0.0
647
Tumor
0.0
284
Normal
0.0
923
Tumor
0.0
672
Normal
0.0
357
Tumor
0.0
982
Normal
0.0
332
Normal
0.0
1015
Tumor
0.0
978
Normal
0.0
355
Tumor
0.0
878
Normal
0.0
713
Tumor
0.0
663
Tumor
0.0
412
Normal
0.0
737
Tumor
0.0
1041
Tumor
0.0
314
Normal
0.0
185
Tumor
0.0
954
Normal
0.0
411
Tumor
0.0
524
Normal
0.0
161
Tumor
0.0
536
Normal
0.0
715
Tumor
0.0
277
Tumor
0.0
666
Normal
0.0
635
Tumor
0.0
553
Tumor
0.0
956
Normal
0.0
722
Normal
0.0
482
Normal
0.0
261
Tumor
0.0
432
Normal
0.0
976
Normal
0.0
468
Normal
0.0
642
Normal
0.0
224
Normal
0.0
447
Tumor
0.0
924
Normal
0.0
516
Normal
0.0
471
Tumor
0.0
424
Normal
0.0
188
Normal
0.0
341
Tumor
0.0
222
Normal
0.0
913
Tumor
0.0
394
Normal
0.0
563
Tumor
0.0
487
Tumor
0.0
354
Normal
0.0
146
Normal
0.0
363
Tumor
0.0
474
Normal
0.0
384
Normal
0.0
435
Tumor
0.0
416
Normal
0.0
574
Normal
0.0
513
Tumor
0.0
464
Normal
0.0
641
Tumor
0.0
217
Tumor
0.0
823
Tumor
0.0
445
Tumor
0.0
343
Tumor
0.0
278
Normal
-0.1
975
Tumor
-0.1
388
Normal
-0.1
463
Tumor
-0.1
716
Normal
-0.1
364
Normal
-0.1
368
Normal
-0.1
328
Normal
-0.1
366
Normal
-0.1
428
Normal
-0.1
472
Normal
-0.1
615
Tumor
-0.1
538
Normal
-0.1
141
Tumor
-0.1
461
Tumor
-0.1
861
Tumor
-0.1
881
Tumor
-0.1
456
Normal
-0.1
874
Normal
-0.1
386
Normal
-0.1
877
Tumor
-0.1
943
Tumor
-0.1
925
Tumor
-0.1
125
Tumor
-0.1
415
Tumor
-0.1
365
Tumor
-0.1
883
Tumor
-0.1
312
Normal
-0.1
921
Tumor
-0.1
917
Tumor
-0.1
396
Normal
-0.1
814
Normal
-0.1
283
Tumor
-0.1
963
Tumor
-0.1
744
Normal
-0.1
867
Tumor
-0.1
498
Normal
-0.1
297
Tumor
-0.1
884
Normal
-0.1
211
Tumor
-0.1
915
Tumor
-0.1
391
Tumor
-0.1
914
Normal
-0.1
444
Normal
-0.1
361
Tumor
-0.1
977
Tumor
-0.1
863
Tumor
-0.1
478
Normal
-0.2
813
Tumor
-0.2
477
Tumor
-0.2
313
Tumor
-0.2
695
Tumor
-0.2
491
Tumor
-0.2
1045
Tumor
-0.2
473
Tumor
-0.2
192
Normal
-0.2
311
Tumor
-0.2
741
Tumor
-0.2
1013
Tumor
-0.2
383
Tumor
-0.3
627
Tumor
-0.3
911
Tumor
-0.3
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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
