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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.
RPL32 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 TPM
1362.4
Number of samples
362
Samples
Sample
Description
TPM
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
7384.2
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
4952.3
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
4665.4
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
4651.1
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
4147.0
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
3702.4
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
3656.1
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
3539.7
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
3488.4
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
3434.0
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
3302.9
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
3176.3
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
3156.8
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
3116.3
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
3078.5
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
3068.2
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
2964.7
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
2953.6
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
2909.4
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
2820.3
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
2778.2
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
2726.0
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
2699.1
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
2677.6
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
2669.8
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
2631.7
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
2572.9
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
2564.8
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
2480.3
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
2444.7
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
2439.9
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
2413.9
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
2370.6
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
2314.6
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
2292.1
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
2283.0
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
2270.9
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
2263.0
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
2253.1
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
2251.0
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
2229.5
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
2227.5
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
2226.1
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
2168.9
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
2163.2
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
2149.2
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
2122.2
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
2110.1
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
2107.1
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
2090.3
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
2076.8
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
2061.9
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
2051.2
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
2033.2
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
2029.1
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
1996.0
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
1991.5
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
1983.0
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
1981.8
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
1969.0
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
1966.2
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
1953.5
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
1951.2
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
1937.6
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
1929.6
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
1897.2
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
1891.8
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
1888.9
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
1877.0
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
1858.8
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
1855.8
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
1846.1
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
1833.9
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
1816.7
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
1805.7
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
1804.4
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
1801.7
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
1801.4
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
1797.7
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
1792.8
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
1792.1
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
1748.9
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
1737.2
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
1734.8
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
1733.9
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
1718.7
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
1707.9
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
1700.8
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
1656.2
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
1638.0
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
1635.3
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
1626.7
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
1614.4
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
1612.1
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
1605.6
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
1600.2
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1596.5
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
1590.9
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
1587.8
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
1582.5
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
1574.9
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
1560.7
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
1557.1
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
1543.3
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1528.9
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
1525.9
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
1515.2
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
1514.0
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1505.2
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
1503.5
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
1496.0
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
1483.9
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
1467.6
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
1464.4
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
1458.2
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
1457.9
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
1450.2
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
1447.8
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
1447.6
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
1445.9
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
1444.7
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
1420.9
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
1409.0
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
1400.6
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
1399.0
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
1391.1
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
1391.1
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
1390.0
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
1385.4
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
1381.1
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
1371.6
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
1366.1
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
1362.9
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
1361.0
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1356.7
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
1352.5
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
1343.1
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
1332.1
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
1317.5
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
1314.3
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
1313.7
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
1300.1
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
1292.5
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1289.2
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
1288.8
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
1287.2
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
1284.0
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
1279.8
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
1274.4
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
1268.5
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
1267.4
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
1263.6
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
1262.4
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
1256.1
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
1248.1
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
1245.5
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
1245.1
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
1241.2
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
1239.9
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
1238.5
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
1232.9
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
1232.5
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
1223.1
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
1222.1
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
1220.6
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
1220.6
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
1217.7
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1212.3
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
1203.3
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
1194.3
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
1191.9
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
1186.0
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
1171.2
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
1168.0
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
1163.7
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
1163.4
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
1163.4
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
1162.4
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
1162.2
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1160.1
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1154.5
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
1151.9
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
1147.1
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
1146.8
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
1145.4
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
1140.1
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
1134.6
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
1128.2
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
1127.2
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
1118.7
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
1116.6
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
1098.0
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
1095.9
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
1094.8
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
1087.0
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
1085.3
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
1084.5
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1082.8
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
1081.5
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
1074.8
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
1073.3
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1070.8
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
1069.2
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
1064.9
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
1063.3
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
1052.9
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1051.1
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
1045.5
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
1041.7
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
1033.4
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
1028.6
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
1020.0
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
1019.6
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
1015.2
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
1011.5
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
1010.7
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
1008.6
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
1006.6
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
1003.4
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
984.9
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
981.7
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
970.0
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
969.9
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
967.9
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
966.9
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
966.8
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
965.5
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
961.7
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
960.0
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
956.5
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
953.6
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
950.6
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
950.3
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
947.8
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
944.4
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
943.5
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
939.4
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
938.2
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
930.4
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
927.2
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
926.1
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
925.1
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
922.7
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
917.2
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
915.1
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
908.1
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
900.4
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
900.1
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
898.4
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
885.7
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
884.9
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
884.9
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
880.4
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
879.6
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
877.8
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
876.5
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
868.7
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
865.3
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
865.0
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
864.4
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
855.3
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
848.4
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
844.7
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
840.8
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
837.9
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
837.0
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
836.9
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
832.0
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
829.8
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
818.7
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
813.5
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
812.8
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
812.4
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
809.8
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
803.3
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
802.2
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
799.4
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
796.1
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
795.4
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
793.4
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
788.8
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
785.3
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
782.8
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
781.9
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
776.6
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
776.3
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
775.7
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
771.2
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
771.1
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
770.3
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
769.7
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
765.9
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
765.7
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
762.9
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
762.1
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
761.2
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
759.3
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
756.5
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
755.4
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
752.8
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
750.4
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
745.7
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
736.7
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
734.0
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
733.8
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
727.8
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
722.4
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
721.5
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
719.8
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
712.9
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
707.7
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
705.5
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
705.4
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
699.5
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
697.0
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
696.9
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
693.2
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
691.1
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
688.7
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
679.8
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
679.0
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
676.9
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
673.1
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
672.8
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
671.0
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
666.7
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
666.2
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
664.7
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
653.6
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
653.2
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
652.2
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
646.6
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
646.2
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
644.3
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
630.3
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
624.2
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
624.1
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
618.9
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
615.0
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
609.8
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
608.2
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
598.9
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
591.7
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
573.9
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
573.1
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
566.3
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
565.6
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
559.8
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
558.3
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
556.8
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
553.3
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
542.8
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
533.7
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
515.5
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
499.1
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
497.4
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
479.1
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
468.8
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
466.9
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
465.7
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
465.0
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 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.
RPL32 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 TPM
395.3
Number of samples
231
Samples
Sample
Description
TPM
DO45093
71 years, male, NA, stage:2, dead, 720 days
1346.7
DO50814
83 years, male, NA, stage:3, alive, 420 days
1293.8
DO45285
59 years, male, NA, stage:3, alive, 480 days
1142.9
DO48715
58 years, female, NA, stage:2, dead, 690 days
1035.8
DO23515
71 years, male, NA, stage:2, alive, 1230 days
987.1
DO23545
67 years, male, NA, stage:2, dead, 570 days
957.9
DO23519
65 years, male, NA, stage:3, alive, 630 days
931.5
DO48747
62 years, male, NA, stage:3, alive, 540 days
893.4
DO50806
70 years, male, NA, stage:4, alive, 540 days
892.1
DO45303
62 years, female, NA, stage:3, alive, 990 days
863.8
DO45193
68 years, female, NA, stage:4, dead, 120 days
832.8
DO45239
42 years, male, NA, stage:2, alive, 870 days
808.7
DO45161
74 years, male, NA, stage:2, dead, 540 days
778.3
DO23508
79 years, female, NA, stage:2, alive, 390 days
772.3
DO48697
64 years, female, NA, stage:2, dead, 810 days
753.8
DO50785
37 years, male, NA, stage:4, dead, 90 days
753.5
DO45251
57 years, female, NA, stage:2, alive, 900 days
720.1
DO48682
72 years, female, NA, stage:3, dead, 120 days
708.5
DO45269
59 years, male, NA, stage:3, alive, 750 days
690.7
DO23533
61 years, male, NA, stage:2, alive, 900 days
676.3
DO45145
78 years, male, NA, stage:3, dead, 60 days
672.2
DO45211
76 years, male, NA, stage:3, alive, 240 days
661.5
DO23525
71 years, male, NA, stage:4, alive, 1050 days
661.4
DO23530
53 years, male, NA, stage:4, dead, 180 days
658.0
DO45209
70 years, male, NA, stage:4, alive, 1350 days
657.3
DO50778
60 years, male, NA, stage:4, alive, 630 days
646.4
DO50859
77 years, male, NA, stage:2, alive, 180 days
632.5
DO45307
54 years, female, NA, stage:4, dead, 240 days
628.8
DO45289
78 years, female, NA, stage:3, alive, 360 days
628.1
DO50799
66 years, female, NA, stage:2, alive, 540 days
626.3
DO48737
52 years, male, NA, stage:1, alive, 720 days
614.5
DO45241
49 years, male, NA, stage:1, alive, 1080 days
613.2
DO50855
47 years, male, NA, stage:2, alive, 570 days
610.4
DO45127
73 years, male, NA, stage:3, dead, 420 days
608.5
DO45183
72 years, female, NA, stage:2, dead, 570 days
595.4
DO48706
72 years, male, NA, stage:2, alive, 870 days
591.0
DO45299
70 years, female, NA, stage:1, alive, 1440 days
579.6
DO48741
64 years, male, NA, stage:3, alive, 240 days
577.0
DO45097
69 years, male, NA, stage:3, alive, 1620 days
575.8
DO45163
76 years, male, NA, stage:2, alive, 960 days
575.0
DO48723
73 years, male, NA, stage:1, alive, 600 days
568.5
DO23516
69 years, male, NA, stage:3, dead, 20 days
566.3
DO48751
68 years, male, NA, stage:2, dead, 480 days
565.0
DO48759
73 years, male, NA, stage:3, alive, 720 days
549.4
DO50815
62 years, male, NA, stage:3, alive, 150 days
548.5
DO45095
66 years, male, NA, stage:2, alive, 1620 days
542.7
DO45173
63 years, male, NA, stage:3, alive, 1170 days
540.6
DO45273
62 years, male, NA, stage:2, alive, 480 days
539.8
DO45265
73 years, male, NA, stage:3, alive, 1020 days
524.7
DO45261
74 years, male, NA, stage:3, alive, 990 days
522.9
DO50839
47 years, female, NA, stage:3, alive, 330 days
522.0
DO48730
73 years, female, NA, stage:2, alive, 630 days
519.8
DO23528
45 years, female, NA, stage:2, alive, 1020 days
516.3
DO45135
77 years, male, NA, stage:1, alive, 1410 days
515.4
DO45187
32 years, female, NA, stage:1, alive, 1260 days
512.0
DO45189
85 years, female, NA, stage:2, alive, 1200 days
500.5
DO45287
74 years, male, NA, stage:1, alive, 390 days
497.4
DO45221
75 years, female, NA, stage:4, dead, 390 days
494.4
DO45199
86 years, female, NA, stage:2, alive, 1350 days
488.0
DO45249
57 years, male, NA, stage:1, alive, 630 days
483.7
DO50791
79 years, female, NA, stage:1, dead, 480 days
480.8
DO45103
47 years, male, NA, stage:3, alive, 450 days
480.3
DO45217
69 years, female, NA, stage:3, dead, 270 days
479.9
DO45259
65 years, male, NA, stage:3, alive, 330 days
479.2
DO45247
31 years, female, NA, stage:2, alive, 210 days
477.7
DO48736
76 years, female, NA, stage:1, alive, 600 days
477.2
DO50816
63 years, male, NA, stage:2, alive, 390 days
468.9
DO23548
78 years, female, NA, stage:1, alive, 840 days
458.8
DO23523
52 years, male, NA, stage:3, alive, 1080 days
454.2
DO48725
66 years, male, NA, stage:1, alive, 780 days
452.1
DO50809
56 years, male, NA, stage:3, dead, 720 days
441.0
DO23537
79 years, male, NA, stage:2, dead, 900 days
440.7
DO45301
56 years, male, NA, stage:2, dead, 1440 days
433.1
DO45267
73 years, male, NA, stage:3, dead, 570 days
427.4
DO45165
75 years, male, NA, stage:2, alive, 690 days
424.8
DO50805
72 years, male, NA, stage:2, alive, 690 days
424.8
DO23511
83 years, female, NA, stage:3, dead, 180 days
420.2
DO48672
81 years, male, NA, stage:2, alive, 450 days
420.1
DO50811
62 years, male, NA, stage:1, alive, 450 days
416.0
DO227801
77 years, female, NA, stage:1, alive, 660 days
415.5
DO48681
57 years, male, NA, stage:2, alive, 900 days
412.3
DO48727
81 years, female, NA, stage:2, dead, 390 days
411.1
DO23536
56 years, male, NA, stage:2, alive, 930 days
406.7
DO45219
78 years, male, NA, stage:2, alive, 1080 days
399.4
DO50783
62 years, male, NA, stage:3, alive, 480 days
397.8
DO45109
63 years, male, NA, stage:2, alive, 1590 days
396.9
DO45191
61 years, female, NA, stage:2, alive, 1200 days
395.6
DO45279
67 years, male, NA, stage:3, alive, 1290 days
393.3
DO50850
74 years, male, NA, stage:3, alive, 720 days
390.9
DO45169
74 years, male, NA, stage:3, alive, 1350 days
390.1
DO48712
50 years, male, NA, stage:2, alive, 810 days
389.2
DO50802
49 years, male, NA, stage:2, alive, 930 days
387.2
DO45141
73 years, male, NA, stage:2, alive, 1320 days
385.7
DO50820
77 years, female, NA, stage:3, alive, 510 days
384.6
DO48679
72 years, male, NA, stage:2, alive, 1200 days
381.9
DO45179
78 years, female, NA, stage:2, alive, 600 days
378.6
DO50844
75 years, male, NA, stage:4, alive, 300 days
378.2
DO23547
74 years, male, NA, stage:1, alive, 1020 days
375.6
DO45119
74 years, male, NA, stage:3, dead, 510 days
367.1
DO45281
83 years, male, NA, stage:4, alive, 750 days
366.0
DO45213
58 years, male, NA, stage:1, alive, 1200 days
365.4
DO45229
74 years, male, NA, stage:1, alive, 990 days
365.2
DO45092
62 years, male, NA, stage:4, dead, 1200 days
363.7
DO23542
66 years, male, NA, stage:3, alive, 960 days
359.8
DO23543
63 years, male, NA, stage:2, alive, 1020 days
359.8
DO50822
66 years, male, NA, stage:2, alive, 510 days
355.5
DO50813
56 years, male, NA, stage:2, alive, 420 days
355.3
DO45225
69 years, male, NA, stage:1, alive, 1050 days
349.7
DO45297
61 years, female, NA, stage:4, dead, 1260 days
349.1
DO48720
62 years, female, NA, stage:2, alive, 570 days
346.4
DO45175
74 years, male, NA, stage:2, alive, 1140 days
346.2
DO48693
71 years, male, NA, stage:2, alive, 900 days
344.7
DO45283
60 years, male, NA, stage:3, alive, 510 days
344.7
DO45237
58 years, male, NA, stage:2, alive, 900 days
343.6
DO45253
50 years, male, NA, stage:2, alive, 870 days
343.4
DO45157
62 years, male, NA, stage:2, alive, 1980 days
340.6
DO48733
72 years, male, NA, stage:2, alive, 600 days
339.5
DO45305
66 years, male, NA, stage:4, alive, 300 days
338.9
DO45143
69 years, male, NA, stage:3, alive, 1290 days
335.5
DO45205
67 years, female, NA, stage:2, dead, 90 days
334.0
DO23539
77 years, male, NA, stage:1, alive, 1110 days
333.8
DO45231
84 years, male, NA, stage:2, alive, 930 days
333.3
DO23521
63 years, male, NA, stage:3, alive, 1110 days
333.0
DO45201
49 years, male, NA, stage:1, alive, 900 days
329.4
DO45131
53 years, male, NA, stage:4, dead, 360 days
326.8
DO45185
89 years, male, NA, stage:2, alive, 600 days
322.5
DO23510
80 years, female, NA, stage:2, alive, 870 days
321.6
DO45243
74 years, female, NA, stage:3, alive, 930 days
320.5
DO50793
76 years, male, NA, stage:4, alive, 540 days
318.4
DO48674
80 years, male, NA, stage:2, alive, 1260 days
315.3
DO48700
78 years, female, NA, stage:2, alive, 810 days
313.8
DO50776
75 years, male, NA, stage:1, alive, 690 days
312.7
DO48728
74 years, female, NA, stage:2, alive, 150 days
312.7
DO45139
63 years, male, NA, stage:3, alive, 1320 days
311.5
DO48732
73 years, male, NA, stage:3, alive, 630 days
307.4
DO50857
72 years, male, NA, stage:2, alive, 210 days
306.1
DO50800
74 years, male, NA, stage:2, alive, 510 days
301.9
DO45181
84 years, female, NA, stage:2, alive, 1200 days
301.1
DO45257
46 years, male, NA, stage:3, alive, 810 days
298.0
DO50829
78 years, male, NA, stage:3, alive, 570 days
296.1
DO48677
58 years, male, NA, stage:3, alive, 1140 days
293.8
DO48757
68 years, female, NA, stage:3, alive, 480 days
293.2
DO23540
73 years, male, NA, stage:1, alive, 750 days
292.8
DO45171
56 years, male, NA, stage:3, alive, 600 days
289.6
DO45125
58 years, male, NA, stage:3, alive, 1680 days
289.1
DO23546
63 years, male, NA, stage:2, alive, 1050 days
288.0
DO45227
57 years, female, NA, stage:2, alive, 1020 days
287.1
DO23514
64 years, male, NA, stage:2, alive, 1290 days
283.9
DO45255
81 years, male, NA, stage:3, alive, 720 days
283.4
DO45117
73 years, female, NA, stage:2, dead, 1110 days
283.0
DO45203
71 years, female, NA, stage:2, alive, 1170 days
280.1
DO45153
77 years, female, NA, stage:2, alive, 1380 days
279.6
DO45275
65 years, male, NA, stage:3, dead, 10 days
277.8
DO45223
67 years, male, NA, stage:4, alive, 1020 days
276.6
DO50789
73 years, female, NA, stage:2, alive, 570 days
276.5
DO48717
54 years, male, NA, stage:4, dead, 180 days
275.6
DO45277
64 years, male, NA, stage:3, alive, 600 days
272.9
DO50798
77 years, male, NA, stage:3, dead, 30 days
269.8
DO23541
65 years, male, NA, stage:2, alive, 930 days
269.3
DO50817
75 years, male, NA, stage:2, alive, 390 days
268.0
DO23549
74 years, male, NA, stage:3, alive, 990 days
266.6
DO45121
61 years, male, NA, stage:3, alive, 1530 days
266.0
DO23535
67 years, male, NA, stage:1, alive, 960 days
263.9
DO45177
81 years, female, NA, stage:3, alive, 1260 days
259.1
DO227643
79 years, male, NA, stage:2, alive, 1260 days
257.8
DO48704
68 years, female, NA, stage:3, alive, 750 days
257.3
DO50804
81 years, male, NA, stage:2, alive, 720 days
256.2
DO50819
72 years, female, NA, stage:2, alive, 510 days
256.2
DO50845
72 years, male, NA, stage:3, alive, 210 days
255.2
DO48721
58 years, female, NA, stage:1, alive, 900 days
254.7
DO45113
58 years, male, NA, stage:3, alive, 1560 days
254.2
DO48746
76 years, male, NA, stage:3, alive, 570 days
253.3
DO48719
80 years, male, NA, stage:2, alive, 690 days
252.9
DO48743
69 years, female, NA, stage:2, alive, 570 days
252.6
DO50808
68 years, male, NA, stage:2, alive, 570 days
250.6
DO45115
81 years, male, NA, stage:2, alive, 840 days
249.3
DO23551
73 years, male, NA, stage:3, dead, 150 days
248.2
DO48716
71 years, male, NA, stage:2, alive, 720 days
247.7
DO50825
70 years, male, NA, stage:2, alive, 390 days
247.0
DO23531
78 years, female, NA, stage:3, alive, 900 days
239.9
DO45137
38 years, male, NA, stage:1, alive, 1320 days
239.7
DO23526
66 years, male, NA, stage:3, alive, 1050 days
235.7
DO23544
67 years, male, NA, stage:2, alive, 960 days
235.5
DO48695
77 years, male, NA, stage:2, alive, 720 days
234.0
DO23513
76 years, male, NA, stage:3, alive, 1200 days
230.0
DO23529
72 years, male, NA, stage:4, alive, 930 days
229.1
DO23512
60 years, male, NA, stage:1, alive, 1260 days
228.5
DO45123
78 years, female, NA, stage:2, dead, 570 days
227.4
DO45233
83 years, male, NA, stage:3, alive, 900 days
227.3
DO48761
55 years, male, NA, stage:2, alive, 870 days
224.4
DO45091
56 years, male, NA, stage:2, dead, 1320 days
224.3
DO50803
62 years, female, NA, stage:1, alive, 540 days
216.0
DO45096
69 years, male, NA, stage:2, dead, 1290 days
215.7
DO45207
68 years, male, NA, stage:1, alive, 1050 days
213.7
DO50840
49 years, male, NA, stage:2, alive, 330 days
211.7
DO23517
62 years, male, NA, stage:2, alive, 1200 days
211.4
DO45155
69 years, male, NA, stage:2, alive, 2160 days
211.1
DO23524
71 years, female, NA, stage:2, alive, 1050 days
210.8
DO48701
78 years, male, NA, stage:2, alive, 780 days
206.9
DO50774
68 years, female, NA, stage:2, alive, 720 days
204.5
DO50787
63 years, male, NA, stage:3, alive, 480 days
203.1
DO50818
65 years, male, NA, stage:2, alive, 510 days
201.9
DO23538
67 years, male, NA, stage:2, alive, 450 days
201.9
DO45149
70 years, female, NA, stage:2, alive, 1260 days
201.4
DO48742
76 years, male, NA, stage:2, alive, 600 days
197.3
DO23509
60 years, male, NA, stage:3, dead, 780 days
192.1
DO23527
72 years, male, NA, stage:1, alive, 1050 days
186.2
DO50832
73 years, male, NA, stage:3, alive, 90 days
185.0
DO50807
67 years, male, NA, stage:1, alive, 540 days
184.4
DO45235
68 years, female, NA, stage:1, alive, 900 days
183.6
DO23534
60 years, male, NA, stage:2, alive, 840 days
183.3
DO45101
63 years, male, NA, stage:2, alive, 1680 days
182.1
DO23550
69 years, male, NA, stage:1, alive, 990 days
177.2
DO23552
80 years, female, NA, stage:1, alive, 810 days
176.7
DO23518
67 years, male, NA, stage:2, alive, 1320 days
173.9
DO45195
62 years, male, NA, stage:1, alive, 390 days
172.9
DO45111
74 years, male, NA, stage:2, alive, 1590 days
171.2
DO45133
64 years, male, NA, stage:3, dead, 660 days
170.5
DO45159
65 years, male, NA, stage:3, alive, 1470 days
167.9
DO48760
70 years, female, NA, stage:2, alive, 690 days
166.8
DO45129
61 years, male, NA, stage:3, alive, 1470 days
166.0
DO45245
75 years, female, NA, stage:2, dead, 240 days
161.9
DO45099
46 years, male, NA, stage:3, alive, 1590 days
161.3
DO45167
67 years, male, NA, stage:2, dead, 1440 days
160.5
DO45215
65 years, male, NA, stage:2, alive, 1170 days
160.3
DO45094
76 years, male, NA, stage:3, alive, 1650 days
156.8
DO45197
51 years, male, NA, stage:2, alive, 1170 days
151.4
DO45105
61 years, male, NA, stage:1, alive, 1680 days
149.7
DO23532
71 years, female, NA, stage:1, alive, 960 days
141.8
DO45263
67 years, male, NA, stage:3, dead, 270 days
130.7
DO45107
63 years, female, NA, stage:2, alive, 1710 days
113.8
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
557
Tumor
0.7
567
Tumor
0.5
327
Tumor
0.5
537
Tumor
0.4
131
Tumor
0.4
685
Tumor
0.4
135
Tumor
0.4
367
Tumor
0.4
285
Tumor
0.4
661
Tumor
0.3
1021
Tumor
0.3
395
Tumor
0.3
515
Tumor
0.3
523
Tumor
0.3
223
Tumor
0.3
137
Tumor
0.2
412
Normal
0.2
554
Normal
0.2
745
Tumor
0.2
545
Tumor
0.2
636
Normal
0.2
983
Tumor
0.2
851
Tumor
0.2
937
Tumor
0.2
393
Tumor
0.2
257
Tumor
0.2
196
Normal
0.2
214
Normal
0.2
742
Normal
0.2
443
Tumor
0.2
385
Tumor
0.2
777
Tumor
0.2
865
Tumor
0.2
965
Tumor
0.2
743
Tumor
0.2
553
Tumor
0.2
815
Tumor
0.2
356
Normal
0.2
746
Normal
0.2
518
Normal
0.2
723
Tumor
0.2
387
Tumor
0.2
497
Tumor
0.2
128
Normal
0.2
664
Normal
0.2
448
Normal
0.2
213
Tumor
0.2
218
Normal
0.2
124
Normal
0.2
738
Normal
0.1
123
Tumor
0.1
463
Tumor
0.1
471
Tumor
0.1
411
Tumor
0.1
628
Normal
0.1
141
Tumor
0.1
724
Normal
0.1
364
Normal
0.1
227
Tumor
0.1
261
Tumor
0.1
481
Tumor
0.1
267
Tumor
0.1
114
Normal
0.1
222
Normal
0.1
527
Tumor
0.1
474
Normal
0.1
517
Tumor
0.1
981
Tumor
0.1
271
Tumor
0.1
913
Tumor
0.1
617
Tumor
0.1
355
Tumor
0.1
147
Tumor
0.1
755
Tumor
0.1
452
Normal
0.1
951
Tumor
0.1
952
Normal
0.1
982
Normal
0.1
538
Normal
0.1
525
Tumor
0.1
533
Tumor
0.1
195
Tumor
0.1
778
Normal
0.1
526
Normal
0.1
277
Tumor
0.1
331
Tumor
0.1
921
Tumor
0.1
363
Tumor
0.1
191
Tumor
0.1
416
Normal
0.1
536
Normal
0.1
984
Normal
0.1
455
Tumor
0.1
873
Tumor
0.1
727
Tumor
0.1
1027
Tumor
0.1
785
Tumor
0.1
493
Tumor
0.1
221
Tumor
0.1
923
Tumor
0.1
171
Tumor
0.1
286
Normal
0.1
618
Normal
0.1
573
Tumor
0.0
427
Tumor
0.0
1043
Tumor
0.0
546
Normal
0.0
217
Tumor
0.0
1026
Normal
0.0
1015
Tumor
0.0
494
Normal
0.0
915
Tumor
0.0
353
Tumor
0.0
866
Normal
0.0
111
Normal
0.0
113
Tumor
0.0
967
Tumor
0.0
924
Normal
0.0
818
Normal
0.0
484
Normal
0.0
744
Normal
0.0
878
Normal
0.0
864
Normal
0.0
728
Normal
0.0
278
Normal
0.0
492
Normal
0.0
697
Tumor
0.0
351
Tumor
0.0
462
Normal
0.0
615
Tumor
0.0
447
Tumor
0.0
112
Tumor
0.0
824
Normal
0.0
966
Normal
0.0
477
Tumor
0.0
467
Tumor
0.0
434
Normal
0.0
433
Tumor
0.0
332
Normal
0.0
342
Normal
0.0
535
Tumor
0.0
516
Normal
0.0
436
Normal
0.0
737
Tumor
0.0
672
Normal
0.0
862
Normal
0.0
343
Tumor
0.0
956
Normal
0.0
817
Tumor
0.0
955
Tumor
0.0
328
Normal
0.0
715
Tumor
0.0
852
Normal
0.0
696
Normal
0.0
421
Tumor
0.0
514
Normal
0.0
451
Tumor
0.0
1028
Normal
0.0
874
Normal
0.0
425
Tumor
0.0
136
Normal
0.0
975
Tumor
0.0
1016
Normal
0.0
823
Tumor
0.0
686
Normal
0.0
786
Normal
0.0
482
Normal
0.0
375
Tumor
0.0
392
Normal
0.0
487
Tumor
0.0
978
Normal
0.0
394
Normal
0.0
648
Normal
0.0
756
Normal
0.0
211
Tumor
0.0
883
Tumor
0.0
695
Tumor
0.0
642
Normal
0.0
1031
Tumor
-0.1
524
Normal
-0.1
665
Tumor
-0.1
212
Normal
-0.1
298
Normal
-0.1
465
Tumor
-0.1
461
Tumor
-0.1
228
Normal
-0.1
1044
Normal
-0.1
284
Normal
-0.1
483
Tumor
-0.1
513
Tumor
-0.1
376
Normal
-0.1
534
Normal
-0.1
714
Normal
-0.1
867
Tumor
-0.1
662
Normal
-0.1
911
Tumor
-0.1
721
Tumor
-0.1
968
Normal
-0.1
957
Tumor
-0.1
858
Normal
-0.1
816
Normal
-0.1
953
Tumor
-0.1
386
Normal
-0.1
964
Normal
-0.1
938
Normal
-0.1
616
Normal
-0.1
912
Normal
-0.1
488
Normal
-0.1
231
Tumor
-0.1
415
Tumor
-0.1
358
Normal
-0.1
388
Normal
-0.1
1014
Normal
-0.1
185
Tumor
-0.1
881
Tumor
-0.1
142
Normal
-0.1
671
Tumor
-0.1
357
Tumor
-0.1
314
Normal
-0.1
922
Normal
-0.1
344
Normal
-0.1
813
Tumor
-0.1
666
Normal
-0.1
925
Tumor
-0.1
861
Tumor
-0.1
663
Tumor
-0.1
943
Tumor
-0.1
125
Tumor
-0.1
297
Tumor
-0.1
698
Normal
-0.1
1022
Normal
-0.1
466
Normal
-0.1
1041
Tumor
-0.1
918
Normal
-0.1
192
Normal
-0.1
914
Normal
-0.1
445
Tumor
-0.1
224
Normal
-0.1
431
Tumor
-0.1
232
Normal
-0.1
916
Normal
-0.1
312
Normal
-0.1
472
Normal
-0.1
814
Normal
-0.1
127
Tumor
-0.1
413
Tumor
-0.1
313
Tumor
-0.1
977
Tumor
-0.1
352
Normal
-0.2
635
Tumor
-0.2
362
Normal
-0.2
741
Tumor
-0.2
396
Normal
-0.2
713
Tumor
-0.2
478
Normal
-0.2
262
Normal
-0.2
917
Tumor
-0.2
857
Tumor
-0.2
138
Normal
-0.2
647
Tumor
-0.2
528
Normal
-0.2
568
Normal
-0.2
161
Tumor
-0.2
944
Normal
-0.2
258
Normal
-0.2
272
Normal
-0.2
428
Normal
-0.2
126
Normal
-0.2
882
Normal
-0.2
391
Tumor
-0.2
722
Normal
-0.2
976
Normal
-0.2
963
Tumor
-0.2
424
Normal
-0.2
341
Tumor
-0.2
1045
Tumor
-0.2
283
Tumor
-0.2
877
Tumor
-0.2
365
Tumor
-0.2
435
Tumor
-0.2
926
Normal
-0.2
422
Normal
-0.2
414
Normal
-0.2
716
Normal
-0.2
1032
Normal
-0.2
1013
Tumor
-0.2
473
Tumor
-0.2
1046
Normal
-0.2
354
Normal
-0.2
564
Normal
-0.2
572
Normal
-0.2
464
Normal
-0.2
468
Normal
-0.3
456
Normal
-0.3
426
Normal
-0.3
187
Tumor
-0.3
627
Tumor
-0.3
1025
Tumor
-0.3
641
Tumor
-0.3
268
Normal
-0.3
498
Normal
-0.3
132
Normal
-0.3
186
Normal
-0.3
384
Normal
-0.3
958
Normal
-0.3
311
Tumor
-0.3
145
Tumor
-0.3
366
Normal
-0.3
491
Tumor
-0.3
368
Normal
-0.3
148
Normal
-0.3
172
Normal
-0.3
1042
Normal
-0.3
446
Normal
-0.3
863
Tumor
-0.3
884
Normal
-0.3
146
Normal
-0.3
954
Normal
-0.3
574
Normal
-0.4
162
Normal
-0.4
423
Tumor
-0.4
558
Normal
-0.4
432
Normal
-0.4
563
Tumor
-0.5
361
Tumor
-0.5
868
Normal
-0.5
571
Tumor
-0.5
383
Tumor
-0.5
188
Normal
-0.5
444
Normal
-0.6
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LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.