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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.
RPL38 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
1447.5
Number of samples
362
Samples
Sample
Description
TPM
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
5148.4
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
4830.4
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
4693.9
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
4550.1
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
4425.0
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
4369.6
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
4312.8
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
4138.2
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
3922.3
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
3898.7
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
3528.7
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
3479.1
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
3302.7
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
3271.7
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
3216.6
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
3187.0
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
3126.1
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
3030.3
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
3020.5
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
3009.3
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
2969.3
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
2961.7
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
2953.7
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
2914.6
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
2819.7
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
2788.7
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
2784.1
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
2748.8
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
2739.6
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
2729.7
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
2719.1
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
2710.4
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
2704.9
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
2626.5
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
2582.0
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
2568.4
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
2541.8
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
2513.1
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
2459.8
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
2442.1
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
2419.9
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
2416.0
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
2403.4
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
2387.8
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
2321.9
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
2317.9
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
2239.5
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
2234.8
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
2229.8
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
2226.1
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
2222.2
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
2212.6
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
2191.7
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
2170.1
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
2105.1
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
2101.9
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
2074.0
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
2057.8
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
2039.0
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
2038.9
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
2032.4
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
2019.4
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
2018.4
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
2009.7
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
1999.7
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
1992.3
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
1979.6
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
1978.0
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
1972.8
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
1970.2
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
1947.2
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
1937.1
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
1924.5
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
1913.8
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
1905.2
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
1898.4
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
1892.2
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
1889.8
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
1876.7
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
1866.6
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
1860.4
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
1851.5
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
1848.0
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
1823.7
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
1792.5
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1786.6
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
1780.9
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
1771.2
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1768.8
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
1766.2
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
1764.3
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
1754.4
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
1747.2
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
1746.5
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
1739.5
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
1738.1
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
1734.0
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
1715.6
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
1708.0
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
1684.2
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
1662.3
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
1662.0
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
1659.5
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
1604.8
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1601.5
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
1600.9
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
1595.3
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
1592.2
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
1588.9
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
1576.7
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
1571.9
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
1569.5
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
1557.5
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
1556.0
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
1554.0
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
1545.5
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
1536.9
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
1530.9
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
1526.1
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
1523.9
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
1518.9
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
1514.1
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
1513.5
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
1512.6
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
1511.9
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
1510.2
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
1495.0
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
1486.2
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
1481.7
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
1469.4
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
1463.0
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
1462.4
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1461.6
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
1456.1
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1456.0
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
1455.7
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
1449.5
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
1442.5
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
1425.4
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
1422.2
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
1419.5
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
1416.7
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
1411.1
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
1410.3
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
1391.7
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
1391.4
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
1386.9
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
1371.1
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
1369.3
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
1360.0
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
1356.8
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
1351.1
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
1341.7
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
1335.3
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
1327.5
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
1325.2
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
1323.4
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
1320.8
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
1316.0
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
1315.3
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
1307.6
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
1304.6
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
1292.4
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
1289.9
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
1288.8
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
1282.4
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
1280.4
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
1257.5
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
1254.8
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
1241.8
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
1227.4
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
1226.7
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
1222.6
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
1214.9
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
1212.2
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
1208.0
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
1204.9
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
1203.4
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
1202.5
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
1201.9
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
1198.9
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
1191.6
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
1188.4
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
1182.8
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1180.1
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1174.6
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
1173.6
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
1168.4
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
1168.1
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
1168.1
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
1166.3
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
1165.7
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
1162.6
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
1162.5
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
1155.0
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
1149.5
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
1146.2
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
1134.8
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1131.8
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
1121.3
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
1120.8
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
1115.9
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
1113.9
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1111.4
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
1107.0
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
1106.1
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
1104.6
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
1103.0
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
1097.7
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1092.9
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
1092.0
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
1091.9
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
1089.0
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1088.7
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
1085.3
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
1084.9
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
1084.9
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
1076.7
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
1076.2
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
1075.0
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
1074.3
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
1067.6
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
1065.4
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
1064.1
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
1056.9
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
1048.4
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
1048.0
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
1044.0
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
1038.6
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
1033.0
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
1022.0
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
1021.1
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
1014.1
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
1013.8
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
1003.7
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
1001.4
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
998.2
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
995.2
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
988.4
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
986.2
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
985.3
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
984.4
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
984.0
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
983.9
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
981.4
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
977.7
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
976.2
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
975.2
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
973.7
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
972.9
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
967.6
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
966.5
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
964.1
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
964.0
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
963.7
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
962.3
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
956.1
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
955.7
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
955.0
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
938.1
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
929.0
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
920.5
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
919.5
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
919.0
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
916.0
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
914.7
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
914.4
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
913.4
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
913.3
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
909.6
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
901.2
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
900.9
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
896.9
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
894.5
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
894.4
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
893.6
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
892.8
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
891.3
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
886.5
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
882.9
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
878.1
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
873.2
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
872.9
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
868.3
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
863.7
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
859.6
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
854.3
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
852.9
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
850.9
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
849.6
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
847.0
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
846.7
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
843.0
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
842.9
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
841.8
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
838.0
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
829.2
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
828.6
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
823.4
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
817.4
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
813.3
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
812.0
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
810.7
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
808.1
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
803.9
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
789.3
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
788.2
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
782.3
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
777.6
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
771.0
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
769.4
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
767.7
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
766.7
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
765.9
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
765.8
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
745.9
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
739.5
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
736.6
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
736.2
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
732.5
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
725.5
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
718.1
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
715.2
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
708.3
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
699.2
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
697.2
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
693.4
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
688.6
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
678.8
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
674.7
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
669.8
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
668.3
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
666.3
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
665.6
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
654.8
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
653.5
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
647.2
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
646.6
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
642.8
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
631.0
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
630.9
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
617.4
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
616.4
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
594.1
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
591.2
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
582.0
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
579.6
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
578.8
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
570.2
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
568.7
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
554.4
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
554.4
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
544.8
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
538.3
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
518.0
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
503.0
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
502.1
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
497.5
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
443.4
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
441.5
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
424.7
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 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.
RPL38 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
952.9
Number of samples
231
Samples
Sample
Description
TPM
DO50814
83 years, male, NA, stage:3, alive, 420 days
5768.9
DO45285
59 years, male, NA, stage:3, alive, 480 days
5387.9
DO48737
52 years, male, NA, stage:1, alive, 720 days
3011.3
DO45093
71 years, male, NA, stage:2, dead, 720 days
3000.0
DO50785
37 years, male, NA, stage:4, dead, 90 days
2839.6
DO48747
62 years, male, NA, stage:3, alive, 540 days
2328.2
DO48741
64 years, male, NA, stage:3, alive, 240 days
2308.3
DO50799
66 years, female, NA, stage:2, alive, 540 days
2127.2
DO45145
78 years, male, NA, stage:3, dead, 60 days
2068.6
DO45303
62 years, female, NA, stage:3, alive, 990 days
1963.2
DO23508
79 years, female, NA, stage:2, alive, 390 days
1962.1
DO23519
65 years, male, NA, stage:3, alive, 630 days
1934.7
DO45307
54 years, female, NA, stage:4, dead, 240 days
1923.1
DO45211
76 years, male, NA, stage:3, alive, 240 days
1907.9
DO45127
73 years, male, NA, stage:3, dead, 420 days
1904.1
DO23533
61 years, male, NA, stage:2, alive, 900 days
1862.0
DO45289
78 years, female, NA, stage:3, alive, 360 days
1805.7
DO45163
76 years, male, NA, stage:2, alive, 960 days
1766.0
DO50806
70 years, male, NA, stage:4, alive, 540 days
1759.4
DO48697
64 years, female, NA, stage:2, dead, 810 days
1722.7
DO45241
49 years, male, NA, stage:1, alive, 1080 days
1675.8
DO50813
56 years, male, NA, stage:2, alive, 420 days
1657.6
DO45269
59 years, male, NA, stage:3, alive, 750 days
1578.7
DO45161
74 years, male, NA, stage:2, dead, 540 days
1553.3
DO23526
66 years, male, NA, stage:3, alive, 1050 days
1521.3
DO48681
57 years, male, NA, stage:2, alive, 900 days
1485.0
DO50809
56 years, male, NA, stage:3, dead, 720 days
1463.9
DO50839
47 years, female, NA, stage:3, alive, 330 days
1441.7
DO45259
65 years, male, NA, stage:3, alive, 330 days
1427.3
DO23545
67 years, male, NA, stage:2, dead, 570 days
1424.6
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1410.4
DO23536
56 years, male, NA, stage:2, alive, 930 days
1386.6
DO48682
72 years, female, NA, stage:3, dead, 120 days
1362.5
DO23515
71 years, male, NA, stage:2, alive, 1230 days
1349.6
DO50791
79 years, female, NA, stage:1, dead, 480 days
1346.5
DO48759
73 years, male, NA, stage:3, alive, 720 days
1344.6
DO50859
77 years, male, NA, stage:2, alive, 180 days
1329.8
DO45251
57 years, female, NA, stage:2, alive, 900 days
1327.0
DO45305
66 years, male, NA, stage:4, alive, 300 days
1321.3
DO45299
70 years, female, NA, stage:1, alive, 1440 days
1285.6
DO45283
60 years, male, NA, stage:3, alive, 510 days
1283.9
DO50815
62 years, male, NA, stage:3, alive, 150 days
1265.0
DO45281
83 years, male, NA, stage:4, alive, 750 days
1264.3
DO45273
62 years, male, NA, stage:2, alive, 480 days
1257.7
DO45193
68 years, female, NA, stage:4, dead, 120 days
1248.8
DO45209
70 years, male, NA, stage:4, alive, 1350 days
1232.8
DO23511
83 years, female, NA, stage:3, dead, 180 days
1229.5
DO45301
56 years, male, NA, stage:2, dead, 1440 days
1222.9
DO45227
57 years, female, NA, stage:2, alive, 1020 days
1167.3
DO45297
61 years, female, NA, stage:4, dead, 1260 days
1167.0
DO45097
69 years, male, NA, stage:3, alive, 1620 days
1146.2
DO23543
63 years, male, NA, stage:2, alive, 1020 days
1137.8
DO50855
47 years, male, NA, stage:2, alive, 570 days
1113.0
DO50825
70 years, male, NA, stage:2, alive, 390 days
1088.4
DO23528
45 years, female, NA, stage:2, alive, 1020 days
1084.4
DO50778
60 years, male, NA, stage:4, alive, 630 days
1082.1
DO48679
72 years, male, NA, stage:2, alive, 1200 days
1080.1
DO45275
65 years, male, NA, stage:3, dead, 10 days
1066.7
DO45249
57 years, male, NA, stage:1, alive, 630 days
1057.8
DO48695
77 years, male, NA, stage:2, alive, 720 days
1055.5
DO48715
58 years, female, NA, stage:2, dead, 690 days
1045.5
DO45253
50 years, male, NA, stage:2, alive, 870 days
1032.6
DO50811
62 years, male, NA, stage:1, alive, 450 days
1028.9
DO45095
66 years, male, NA, stage:2, alive, 1620 days
1028.1
DO48736
76 years, female, NA, stage:1, alive, 600 days
1013.2
DO48751
68 years, male, NA, stage:2, dead, 480 days
1012.2
DO48720
62 years, female, NA, stage:2, alive, 570 days
1010.9
DO50789
73 years, female, NA, stage:2, alive, 570 days
999.5
DO23530
53 years, male, NA, stage:4, dead, 180 days
992.9
DO48672
81 years, male, NA, stage:2, alive, 450 days
987.1
DO23516
69 years, male, NA, stage:3, dead, 20 days
985.0
DO45287
74 years, male, NA, stage:1, alive, 390 days
982.1
DO45119
74 years, male, NA, stage:3, dead, 510 days
980.3
DO23523
52 years, male, NA, stage:3, alive, 1080 days
978.5
DO50832
73 years, male, NA, stage:3, alive, 90 days
978.0
DO48706
72 years, male, NA, stage:2, alive, 870 days
967.0
DO23547
74 years, male, NA, stage:1, alive, 1020 days
966.7
DO45173
63 years, male, NA, stage:3, alive, 1170 days
963.4
DO48723
73 years, male, NA, stage:1, alive, 600 days
959.9
DO48732
73 years, male, NA, stage:3, alive, 630 days
959.4
DO48721
58 years, female, NA, stage:1, alive, 900 days
954.0
DO45217
69 years, female, NA, stage:3, dead, 270 days
944.6
DO23539
77 years, male, NA, stage:1, alive, 1110 days
937.0
DO45103
47 years, male, NA, stage:3, alive, 450 days
933.3
DO50840
49 years, male, NA, stage:2, alive, 330 days
932.1
DO48725
66 years, male, NA, stage:1, alive, 780 days
928.0
DO45189
85 years, female, NA, stage:2, alive, 1200 days
927.5
DO50805
72 years, male, NA, stage:2, alive, 690 days
924.3
DO45185
89 years, male, NA, stage:2, alive, 600 days
919.4
DO45109
63 years, male, NA, stage:2, alive, 1590 days
918.9
DO45187
32 years, female, NA, stage:1, alive, 1260 days
913.6
DO50793
76 years, male, NA, stage:4, alive, 540 days
912.8
DO45183
72 years, female, NA, stage:2, dead, 570 days
911.7
DO50798
77 years, male, NA, stage:3, dead, 30 days
909.3
DO50783
62 years, male, NA, stage:3, alive, 480 days
905.6
DO23541
65 years, male, NA, stage:2, alive, 930 days
888.9
DO45255
81 years, male, NA, stage:3, alive, 720 days
887.4
DO45267
73 years, male, NA, stage:3, dead, 570 days
882.5
DO45125
58 years, male, NA, stage:3, alive, 1680 days
882.1
DO45092
62 years, male, NA, stage:4, dead, 1200 days
874.5
DO45213
58 years, male, NA, stage:1, alive, 1200 days
869.6
DO45219
78 years, male, NA, stage:2, alive, 1080 days
863.4
DO45175
74 years, male, NA, stage:2, alive, 1140 days
863.3
DO45139
63 years, male, NA, stage:3, alive, 1320 days
860.1
DO48730
73 years, female, NA, stage:2, alive, 630 days
855.8
DO48704
68 years, female, NA, stage:3, alive, 750 days
853.8
DO45191
61 years, female, NA, stage:2, alive, 1200 days
840.2
DO45205
67 years, female, NA, stage:2, dead, 90 days
826.0
DO23521
63 years, male, NA, stage:3, alive, 1110 days
822.8
DO45153
77 years, female, NA, stage:2, alive, 1380 days
821.2
DO23546
63 years, male, NA, stage:2, alive, 1050 days
820.9
DO50857
72 years, male, NA, stage:2, alive, 210 days
815.0
DO23542
66 years, male, NA, stage:3, alive, 960 days
815.0
DO45221
75 years, female, NA, stage:4, dead, 390 days
814.3
DO45135
77 years, male, NA, stage:1, alive, 1410 days
806.2
DO23540
73 years, male, NA, stage:1, alive, 750 days
801.8
DO23548
78 years, female, NA, stage:1, alive, 840 days
800.2
DO45239
42 years, male, NA, stage:2, alive, 870 days
796.7
DO50816
63 years, male, NA, stage:2, alive, 390 days
793.3
DO45117
73 years, female, NA, stage:2, dead, 1110 days
782.2
DO45277
64 years, male, NA, stage:3, alive, 600 days
781.4
DO48700
78 years, female, NA, stage:2, alive, 810 days
777.3
DO45131
53 years, male, NA, stage:4, dead, 360 days
775.6
DO50808
68 years, male, NA, stage:2, alive, 570 days
775.2
DO45199
86 years, female, NA, stage:2, alive, 1350 days
774.5
DO45141
73 years, male, NA, stage:2, alive, 1320 days
768.9
DO48712
50 years, male, NA, stage:2, alive, 810 days
768.5
DO45261
74 years, male, NA, stage:3, alive, 990 days
768.2
DO23549
74 years, male, NA, stage:3, alive, 990 days
764.1
DO48693
71 years, male, NA, stage:2, alive, 900 days
758.2
DO45247
31 years, female, NA, stage:2, alive, 210 days
756.7
DO45149
70 years, female, NA, stage:2, alive, 1260 days
751.5
DO50802
49 years, male, NA, stage:2, alive, 930 days
749.0
DO45123
78 years, female, NA, stage:2, dead, 570 days
747.3
DO45143
69 years, male, NA, stage:3, alive, 1290 days
746.1
DO45229
74 years, male, NA, stage:1, alive, 990 days
745.7
DO45279
67 years, male, NA, stage:3, alive, 1290 days
744.1
DO45225
69 years, male, NA, stage:1, alive, 1050 days
743.6
DO23513
76 years, male, NA, stage:3, alive, 1200 days
735.5
DO23509
60 years, male, NA, stage:3, dead, 780 days
723.0
DO50829
78 years, male, NA, stage:3, alive, 570 days
713.5
DO45231
84 years, male, NA, stage:2, alive, 930 days
713.2
DO227643
79 years, male, NA, stage:2, alive, 1260 days
704.0
DO50818
65 years, male, NA, stage:2, alive, 510 days
693.7
DO48717
54 years, male, NA, stage:4, dead, 180 days
692.4
DO50817
75 years, male, NA, stage:2, alive, 390 days
689.6
DO48733
72 years, male, NA, stage:2, alive, 600 days
688.4
DO45201
49 years, male, NA, stage:1, alive, 900 days
685.3
DO45179
78 years, female, NA, stage:2, alive, 600 days
683.5
DO48728
74 years, female, NA, stage:2, alive, 150 days
676.2
DO50776
75 years, male, NA, stage:1, alive, 690 days
669.1
DO227801
77 years, female, NA, stage:1, alive, 660 days
665.9
DO23537
79 years, male, NA, stage:2, dead, 900 days
665.8
DO45165
75 years, male, NA, stage:2, alive, 690 days
663.6
DO48719
80 years, male, NA, stage:2, alive, 690 days
658.8
DO48757
68 years, female, NA, stage:3, alive, 480 days
657.3
DO45133
64 years, male, NA, stage:3, dead, 660 days
655.8
DO48727
81 years, female, NA, stage:2, dead, 390 days
652.9
DO45105
61 years, male, NA, stage:1, alive, 1680 days
647.1
DO45171
56 years, male, NA, stage:3, alive, 600 days
638.8
DO45243
74 years, female, NA, stage:3, alive, 930 days
635.5
DO45265
73 years, male, NA, stage:3, alive, 1020 days
634.6
DO23514
64 years, male, NA, stage:2, alive, 1290 days
626.4
DO50845
72 years, male, NA, stage:3, alive, 210 days
624.5
DO45115
81 years, male, NA, stage:2, alive, 840 days
619.8
DO45257
46 years, male, NA, stage:3, alive, 810 days
611.6
DO23512
60 years, male, NA, stage:1, alive, 1260 days
607.8
DO45155
69 years, male, NA, stage:2, alive, 2160 days
606.4
DO50822
66 years, male, NA, stage:2, alive, 510 days
603.5
DO23510
80 years, female, NA, stage:2, alive, 870 days
601.3
DO50800
74 years, male, NA, stage:2, alive, 510 days
601.1
DO23517
62 years, male, NA, stage:2, alive, 1200 days
599.0
DO48746
76 years, male, NA, stage:3, alive, 570 days
597.3
DO48701
78 years, male, NA, stage:2, alive, 780 days
596.1
DO48716
71 years, male, NA, stage:2, alive, 720 days
593.7
DO48674
80 years, male, NA, stage:2, alive, 1260 days
590.2
DO45121
61 years, male, NA, stage:3, alive, 1530 days
586.7
DO50844
75 years, male, NA, stage:4, alive, 300 days
586.0
DO23535
67 years, male, NA, stage:1, alive, 960 days
583.0
DO45157
62 years, male, NA, stage:2, alive, 1980 days
577.0
DO23534
60 years, male, NA, stage:2, alive, 840 days
571.4
DO45177
81 years, female, NA, stage:3, alive, 1260 days
570.5
DO45203
71 years, female, NA, stage:2, alive, 1170 days
565.3
DO23552
80 years, female, NA, stage:1, alive, 810 days
562.8
DO50819
72 years, female, NA, stage:2, alive, 510 days
549.6
DO50820
77 years, female, NA, stage:3, alive, 510 days
544.8
DO23524
71 years, female, NA, stage:2, alive, 1050 days
535.2
DO45223
67 years, male, NA, stage:4, alive, 1020 days
529.3
DO45101
63 years, male, NA, stage:2, alive, 1680 days
528.7
DO45181
84 years, female, NA, stage:2, alive, 1200 days
522.7
DO48677
58 years, male, NA, stage:3, alive, 1140 days
515.2
DO45237
58 years, male, NA, stage:2, alive, 900 days
509.9
DO45113
58 years, male, NA, stage:3, alive, 1560 days
504.3
DO50774
68 years, female, NA, stage:2, alive, 720 days
503.1
DO45207
68 years, male, NA, stage:1, alive, 1050 days
501.5
DO45099
46 years, male, NA, stage:3, alive, 1590 days
500.3
DO45245
75 years, female, NA, stage:2, dead, 240 days
499.7
DO45169
74 years, male, NA, stage:3, alive, 1350 days
488.8
DO45235
68 years, female, NA, stage:1, alive, 900 days
479.8
DO45091
56 years, male, NA, stage:2, dead, 1320 days
472.6
DO23532
71 years, female, NA, stage:1, alive, 960 days
466.3
DO45215
65 years, male, NA, stage:2, alive, 1170 days
466.2
DO23551
73 years, male, NA, stage:3, dead, 150 days
464.5
DO50807
67 years, male, NA, stage:1, alive, 540 days
460.3
DO45233
83 years, male, NA, stage:3, alive, 900 days
459.1
DO23527
72 years, male, NA, stage:1, alive, 1050 days
458.2
DO50787
63 years, male, NA, stage:3, alive, 480 days
456.2
DO23550
69 years, male, NA, stage:1, alive, 990 days
456.0
DO23529
72 years, male, NA, stage:4, alive, 930 days
447.4
DO45129
61 years, male, NA, stage:3, alive, 1470 days
446.7
DO48743
69 years, female, NA, stage:2, alive, 570 days
444.6
DO50804
81 years, male, NA, stage:2, alive, 720 days
439.9
DO45159
65 years, male, NA, stage:3, alive, 1470 days
436.1
DO48761
55 years, male, NA, stage:2, alive, 870 days
434.5
DO50850
74 years, male, NA, stage:3, alive, 720 days
432.0
DO23531
78 years, female, NA, stage:3, alive, 900 days
429.0
DO45263
67 years, male, NA, stage:3, dead, 270 days
426.4
DO45167
67 years, male, NA, stage:2, dead, 1440 days
423.3
DO23518
67 years, male, NA, stage:2, alive, 1320 days
419.0
DO23544
67 years, male, NA, stage:2, alive, 960 days
412.9
DO45096
69 years, male, NA, stage:2, dead, 1290 days
408.6
DO50803
62 years, female, NA, stage:1, alive, 540 days
405.2
DO45137
38 years, male, NA, stage:1, alive, 1320 days
400.3
DO45107
63 years, female, NA, stage:2, alive, 1710 days
393.4
DO45195
62 years, male, NA, stage:1, alive, 390 days
386.0
DO23538
67 years, male, NA, stage:2, alive, 450 days
370.7
DO48742
76 years, male, NA, stage:2, alive, 600 days
356.0
DO45197
51 years, male, NA, stage:2, alive, 1170 days
352.0
DO48760
70 years, female, NA, stage:2, alive, 690 days
349.1
DO45111
74 years, male, NA, stage:2, alive, 1590 days
327.5
DO45094
76 years, male, NA, stage:3, alive, 1650 days
326.4
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
557
Tumor
0.8
113
Tumor
0.8
1021
Tumor
0.6
128
Normal
0.6
537
Tumor
0.5
661
Tumor
0.5
123
Tumor
0.5
353
Tumor
0.5
367
Tumor
0.5
114
Normal
0.5
414
Normal
0.5
131
Tumor
0.5
395
Tumor
0.4
1027
Tumor
0.4
327
Tumor
0.4
427
Tumor
0.4
126
Normal
0.4
285
Tumor
0.4
866
Normal
0.4
127
Tumor
0.4
864
Normal
0.4
111
Normal
0.4
135
Tumor
0.4
393
Tumor
0.4
865
Tumor
0.4
1044
Normal
0.4
1046
Normal
0.4
824
Normal
0.3
376
Normal
0.3
124
Normal
0.3
267
Tumor
0.3
112
Tumor
0.3
351
Tumor
0.3
568
Normal
0.3
387
Tumor
0.3
672
Normal
0.3
466
Normal
0.3
187
Tumor
0.3
413
Tumor
0.3
558
Normal
0.3
331
Tumor
0.3
261
Tumor
0.3
467
Tumor
0.3
851
Tumor
0.3
314
Normal
0.3
481
Tumor
0.3
983
Tumor
0.3
162
Normal
0.3
448
Normal
0.3
136
Normal
0.3
573
Tumor
0.3
356
Normal
0.3
298
Normal
0.3
685
Tumor
0.3
858
Normal
0.3
965
Tumor
0.3
636
Normal
0.3
358
Normal
0.3
137
Tumor
0.3
232
Normal
0.3
425
Tumor
0.3
862
Normal
0.3
214
Normal
0.3
567
Tumor
0.2
815
Tumor
0.2
352
Normal
0.2
312
Normal
0.2
142
Normal
0.2
148
Normal
0.2
873
Tumor
0.2
1016
Normal
0.2
223
Tumor
0.2
1015
Tumor
0.2
468
Normal
0.2
564
Normal
0.2
852
Normal
0.2
411
Tumor
0.2
955
Tumor
0.2
332
Normal
0.2
724
Normal
0.2
172
Normal
0.2
728
Normal
0.2
392
Normal
0.2
191
Tumor
0.2
1026
Normal
0.2
818
Normal
0.2
746
Normal
0.2
912
Normal
0.2
195
Tumor
0.2
186
Normal
0.2
964
Normal
0.2
944
Normal
0.2
1043
Tumor
0.2
257
Tumor
0.2
471
Tumor
0.2
1032
Normal
0.2
422
Normal
0.2
756
Normal
0.2
926
Normal
0.2
171
Tumor
0.2
723
Tumor
0.2
465
Tumor
0.2
424
Normal
0.2
572
Normal
0.2
362
Normal
0.2
984
Normal
0.2
125
Tumor
0.2
698
Normal
0.2
536
Normal
0.2
777
Tumor
0.2
697
Tumor
0.2
1022
Normal
0.2
535
Tumor
0.2
196
Normal
0.2
423
Tumor
0.2
426
Normal
0.2
218
Normal
0.2
447
Tumor
0.2
385
Tumor
0.2
738
Normal
0.2
394
Normal
0.2
816
Normal
0.2
141
Tumor
0.1
778
Normal
0.1
354
Normal
0.1
344
Normal
0.1
462
Normal
0.1
743
Tumor
0.1
878
Normal
0.1
745
Tumor
0.1
161
Tumor
0.1
1014
Normal
0.1
272
Normal
0.1
571
Tumor
0.1
727
Tumor
0.1
1031
Tumor
0.1
978
Normal
0.1
868
Normal
0.1
967
Tumor
0.1
297
Tumor
0.1
617
Tumor
0.1
474
Normal
0.1
221
Tumor
0.1
628
Normal
0.1
222
Normal
0.1
421
Tumor
0.1
882
Normal
0.1
1028
Normal
0.1
966
Normal
0.1
662
Normal
0.1
755
Tumor
0.1
433
Tumor
0.1
514
Normal
0.1
957
Tumor
0.1
1045
Tumor
0.1
188
Normal
0.1
384
Normal
0.1
953
Tumor
0.1
341
Tumor
0.1
517
Tumor
0.1
857
Tumor
0.1
616
Normal
0.1
478
Normal
0.1
913
Tumor
0.1
618
Normal
0.1
428
Normal
0.1
923
Tumor
0.1
368
Normal
0.1
786
Normal
0.1
451
Tumor
0.1
473
Tumor
0.1
664
Normal
0.1
533
Tumor
0.0
1042
Normal
0.0
918
Normal
0.0
262
Normal
0.0
686
Normal
0.0
737
Tumor
0.0
696
Normal
0.0
884
Normal
0.0
147
Tumor
0.0
132
Normal
0.0
515
Tumor
0.0
482
Normal
0.0
665
Tumor
0.0
954
Normal
0.0
231
Tumor
0.0
528
Normal
0.0
431
Tumor
0.0
375
Tumor
0.0
527
Tumor
0.0
138
Normal
0.0
213
Tumor
0.0
146
Normal
0.0
523
Tumor
0.0
742
Normal
0.0
874
Normal
0.0
185
Tumor
0.0
881
Tumor
0.0
436
Normal
0.0
455
Tumor
0.0
938
Normal
0.0
982
Normal
0.0
328
Normal
0.0
452
Normal
0.0
464
Normal
0.0
922
Normal
0.0
258
Normal
0.0
671
Tumor
0.0
958
Normal
0.0
722
Normal
0.0
563
Tumor
0.0
488
Normal
0.0
412
Normal
0.0
227
Tumor
0.0
311
Tumor
0.0
286
Normal
0.0
386
Normal
0.0
494
Normal
0.0
357
Tumor
0.0
443
Tumor
0.0
284
Normal
0.0
415
Tumor
0.0
968
Normal
0.0
271
Tumor
0.0
981
Tumor
0.0
647
Tumor
0.0
278
Normal
0.0
883
Tumor
0.0
461
Tumor
0.0
952
Normal
0.0
867
Tumor
0.0
497
Tumor
0.0
228
Normal
0.0
716
Normal
0.0
364
Normal
0.0
342
Normal
0.0
435
Tumor
0.0
744
Normal
0.0
366
Normal
0.0
715
Tumor
0.0
1041
Tumor
0.0
192
Normal
0.0
396
Normal
0.0
976
Normal
0.0
525
Tumor
-0.1
456
Normal
-0.1
1013
Tumor
-0.1
217
Tumor
-0.1
145
Tumor
-0.1
363
Tumor
-0.1
877
Tumor
-0.1
714
Normal
-0.1
434
Normal
-0.1
416
Normal
-0.1
977
Tumor
-0.1
975
Tumor
-0.1
951
Tumor
-0.1
446
Normal
-0.1
937
Tumor
-0.1
642
Normal
-0.1
615
Tumor
-0.1
432
Normal
-0.1
472
Normal
-0.1
518
Normal
-0.1
956
Normal
-0.1
545
Tumor
-0.1
785
Tumor
-0.1
365
Tumor
-0.1
648
Normal
-0.1
663
Tumor
-0.1
863
Tumor
-0.1
212
Normal
-0.1
388
Normal
-0.1
313
Tumor
-0.1
477
Tumor
-0.1
916
Normal
-0.1
277
Tumor
-0.1
463
Tumor
-0.1
1025
Tumor
-0.1
526
Normal
-0.1
695
Tumor
-0.1
513
Tumor
-0.1
925
Tumor
-0.1
574
Normal
-0.1
823
Tumor
-0.1
721
Tumor
-0.1
391
Tumor
-0.1
361
Tumor
-0.1
554
Normal
-0.1
914
Normal
-0.1
546
Normal
-0.1
924
Normal
-0.1
917
Tumor
-0.2
861
Tumor
-0.2
641
Tumor
-0.2
224
Normal
-0.2
817
Tumor
-0.2
963
Tumor
-0.2
484
Normal
-0.2
493
Tumor
-0.2
534
Normal
-0.2
268
Normal
-0.2
524
Normal
-0.2
355
Tumor
-0.2
814
Normal
-0.2
553
Tumor
-0.2
915
Tumor
-0.2
741
Tumor
-0.2
713
Tumor
-0.2
666
Normal
-0.2
635
Tumor
-0.2
516
Normal
-0.2
444
Normal
-0.2
538
Normal
-0.2
383
Tumor
-0.2
813
Tumor
-0.3
445
Tumor
-0.3
343
Tumor
-0.3
498
Normal
-0.3
627
Tumor
-0.3
921
Tumor
-0.3
943
Tumor
-0.3
211
Tumor
-0.3
911
Tumor
-0.3
492
Normal
-0.4
487
Tumor
-0.4
483
Tumor
-0.4
283
Tumor
-0.4
491
Tumor
-0.5
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LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.