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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.
RPL23 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.
: 1.63
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.000021
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.
32%
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.
55%
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
1124.5
Number of samples
362
Samples
Sample
Description
TPM
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
4637.7
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
3494.6
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
3439.5
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
3265.8
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
3130.2
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
3095.6
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
3071.8
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
3002.7
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
2984.7
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
2974.1
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
2784.5
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
2689.1
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
2619.1
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
2599.4
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
2598.5
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
2578.5
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
2561.6
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
2559.4
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
2556.0
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
2523.9
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
2370.6
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
2273.6
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
2246.5
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
2205.7
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
2199.1
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
2193.5
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
2174.5
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
2142.8
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
2124.6
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
2077.3
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
2039.5
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
2038.1
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
2006.3
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
1998.1
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
1994.4
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
1966.9
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
1929.3
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
1927.2
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
1912.2
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
1903.7
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
1897.8
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
1896.7
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
1885.4
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
1872.7
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
1862.0
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
1861.9
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
1844.8
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
1840.7
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
1837.4
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
1803.4
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
1790.1
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
1785.6
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
1781.7
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
1777.5
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
1770.4
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
1755.8
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
1710.1
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
1707.8
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
1704.4
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
1683.0
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
1671.3
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
1653.9
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
1620.3
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
1609.8
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
1608.1
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
1602.3
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
1596.8
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
1574.3
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1565.4
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
1539.0
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
1532.9
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
1503.1
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
1491.5
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
1484.5
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
1483.3
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
1466.7
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
1434.6
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
1420.3
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
1419.3
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
1411.5
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
1403.3
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
1401.3
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
1388.7
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
1380.5
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
1366.6
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
1353.0
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
1312.1
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
1309.0
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
1292.9
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
1290.9
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
1290.6
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
1284.8
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
1263.4
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
1262.3
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
1258.8
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
1257.4
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
1256.5
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
1255.9
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
1253.5
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
1252.1
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
1251.4
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1209.1
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
1207.3
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
1206.7
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1203.2
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
1203.1
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
1192.3
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
1187.5
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
1180.0
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
1174.5
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
1172.9
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
1172.2
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
1168.7
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
1167.5
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
1162.4
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
1156.2
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
1156.0
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
1154.8
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1153.5
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1152.4
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
1152.2
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
1150.9
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
1149.7
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1148.2
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
1134.0
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
1132.1
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
1131.9
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
1119.6
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
1118.0
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
1103.6
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
1097.2
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
1096.7
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
1092.4
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
1091.3
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
1088.2
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
1086.2
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
1085.8
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
1079.7
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
1073.2
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
1071.5
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1068.6
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
1068.6
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
1066.9
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
1060.4
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
1054.8
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
1054.7
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
1047.0
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
1041.0
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1036.7
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
1027.3
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
1027.2
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
1025.7
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1024.5
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1020.8
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
1020.4
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
1016.4
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
1013.5
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
1013.2
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
1008.2
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
1007.9
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
1005.1
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
994.6
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
992.5
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
988.5
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
980.0
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
972.4
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
970.6
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
970.3
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
969.4
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
967.4
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
965.2
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
959.0
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
947.5
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
946.1
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
945.7
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
943.2
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
943.0
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
939.4
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
939.3
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
937.2
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
934.4
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
933.6
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
928.8
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
928.5
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
927.6
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
927.1
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
924.3
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
921.1
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
915.0
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
908.1
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
904.1
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
903.4
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
903.4
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
901.5
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
900.6
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
900.2
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
897.7
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
896.9
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
891.3
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
885.5
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
883.8
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
881.9
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
878.8
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
878.4
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
877.3
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
870.3
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
864.4
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
856.5
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
851.4
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
850.8
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
848.0
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
845.4
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
845.3
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
845.3
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
844.0
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
843.2
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
841.0
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
836.1
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
832.4
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
829.2
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
827.5
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
826.5
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
824.9
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
822.6
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
820.1
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
817.8
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
816.4
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
814.0
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
807.2
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
803.4
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
803.0
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
802.3
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
801.9
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
800.1
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
800.0
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
797.1
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
792.8
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
792.6
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
790.9
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
790.7
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
789.7
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
789.4
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
784.7
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
783.8
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
783.1
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
779.9
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
778.1
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
777.8
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
774.7
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
759.1
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
757.6
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
757.2
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
755.5
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
754.0
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
751.7
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
750.9
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
748.8
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
744.3
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
739.9
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
738.4
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
737.5
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
730.1
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
729.9
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
729.2
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
726.6
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
726.5
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
725.1
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
724.7
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
723.7
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
721.7
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
721.1
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
717.3
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
716.3
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
708.5
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
706.8
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
705.8
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
704.9
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
703.7
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
702.3
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
701.9
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
699.0
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
697.1
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
690.7
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
688.6
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
686.3
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
685.5
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
685.3
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
677.1
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
671.4
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
670.4
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
668.4
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
667.9
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
663.2
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
662.5
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
657.8
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
651.9
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
651.7
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
649.4
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
648.2
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
646.0
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
640.8
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
637.4
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
636.5
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
633.1
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
627.9
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
624.3
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
623.7
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
621.2
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
613.5
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
613.3
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
613.2
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
613.2
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
608.2
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
603.5
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
602.0
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
599.1
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
590.9
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
587.4
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
585.8
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
585.0
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
583.3
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
579.8
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
579.5
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
579.2
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
566.9
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
560.6
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
557.0
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
553.9
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
553.5
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
544.5
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
539.2
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
532.2
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
527.0
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
525.8
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
525.1
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
522.5
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
521.8
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
518.8
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
514.4
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
512.4
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
496.8
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
491.7
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
487.6
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
484.0
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
471.5
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
470.0
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
469.5
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
466.4
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
464.3
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
461.0
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
445.7
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
441.9
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
440.0
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
439.1
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
436.6
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
421.2
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
412.9
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
410.6
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
402.2
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
395.9
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
395.0
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 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.
RPL23 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.
: 2.14
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.000069
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.
0%
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.
77%
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
1047.2
Number of samples
231
Samples
Sample
Description
TPM
DO45285
59 years, male, NA, stage:3, alive, 480 days
4898.3
DO50814
83 years, male, NA, stage:3, alive, 420 days
4238.4
DO50785
37 years, male, NA, stage:4, dead, 90 days
4193.3
DO45303
62 years, female, NA, stage:3, alive, 990 days
2786.1
DO23545
67 years, male, NA, stage:2, dead, 570 days
2672.8
DO45307
54 years, female, NA, stage:4, dead, 240 days
2589.1
DO23519
65 years, male, NA, stage:3, alive, 630 days
2431.5
DO48682
72 years, female, NA, stage:3, dead, 120 days
2421.4
DO23515
71 years, male, NA, stage:2, alive, 1230 days
2385.1
DO45289
78 years, female, NA, stage:3, alive, 360 days
2345.2
DO45193
68 years, female, NA, stage:4, dead, 120 days
2122.5
DO48741
64 years, male, NA, stage:3, alive, 240 days
2041.2
DO48747
62 years, male, NA, stage:3, alive, 540 days
2029.7
DO48737
52 years, male, NA, stage:1, alive, 720 days
1979.8
DO45189
85 years, female, NA, stage:2, alive, 1200 days
1976.6
DO45097
69 years, male, NA, stage:3, alive, 1620 days
1952.7
DO45305
66 years, male, NA, stage:4, alive, 300 days
1918.6
DO45127
73 years, male, NA, stage:3, dead, 420 days
1889.1
DO50806
70 years, male, NA, stage:4, alive, 540 days
1853.6
DO23530
53 years, male, NA, stage:4, dead, 180 days
1802.9
DO45175
74 years, male, NA, stage:2, alive, 1140 days
1773.8
DO48706
72 years, male, NA, stage:2, alive, 870 days
1717.9
DO23508
79 years, female, NA, stage:2, alive, 390 days
1715.5
DO45283
60 years, male, NA, stage:3, alive, 510 days
1684.2
DO45145
78 years, male, NA, stage:3, dead, 60 days
1677.7
DO48723
73 years, male, NA, stage:1, alive, 600 days
1675.6
DO50859
77 years, male, NA, stage:2, alive, 180 days
1665.8
DO23533
61 years, male, NA, stage:2, alive, 900 days
1622.1
DO45149
70 years, female, NA, stage:2, alive, 1260 days
1614.5
DO45259
65 years, male, NA, stage:3, alive, 330 days
1594.9
DO50855
47 years, male, NA, stage:2, alive, 570 days
1590.5
DO48715
58 years, female, NA, stage:2, dead, 690 days
1585.3
DO23536
56 years, male, NA, stage:2, alive, 930 days
1575.2
DO23528
45 years, female, NA, stage:2, alive, 1020 days
1541.3
DO45211
76 years, male, NA, stage:3, alive, 240 days
1539.8
DO48697
64 years, female, NA, stage:2, dead, 810 days
1505.8
DO50815
62 years, male, NA, stage:3, alive, 150 days
1499.7
DO45251
57 years, female, NA, stage:2, alive, 900 days
1493.5
DO48672
81 years, male, NA, stage:2, alive, 450 days
1472.4
DO45281
83 years, male, NA, stage:4, alive, 750 days
1440.9
DO45209
70 years, male, NA, stage:4, alive, 1350 days
1429.8
DO45163
76 years, male, NA, stage:2, alive, 960 days
1419.8
DO23526
66 years, male, NA, stage:3, alive, 1050 days
1416.1
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1402.0
DO48759
73 years, male, NA, stage:3, alive, 720 days
1382.1
DO48751
68 years, male, NA, stage:2, dead, 480 days
1372.9
DO50778
60 years, male, NA, stage:4, alive, 630 days
1372.1
DO45221
75 years, female, NA, stage:4, dead, 390 days
1363.8
DO45117
73 years, female, NA, stage:2, dead, 1110 days
1330.7
DO45219
78 years, male, NA, stage:2, alive, 1080 days
1326.6
DO23521
63 years, male, NA, stage:3, alive, 1110 days
1308.5
DO45249
57 years, male, NA, stage:1, alive, 630 days
1301.2
DO45135
77 years, male, NA, stage:1, alive, 1410 days
1295.6
DO45213
58 years, male, NA, stage:1, alive, 1200 days
1292.5
DO45173
63 years, male, NA, stage:3, alive, 1170 days
1288.1
DO48757
68 years, female, NA, stage:3, alive, 480 days
1274.1
DO48736
76 years, female, NA, stage:1, alive, 600 days
1273.1
DO45095
66 years, male, NA, stage:2, alive, 1620 days
1258.2
DO23516
69 years, male, NA, stage:3, dead, 20 days
1256.2
DO45187
32 years, female, NA, stage:1, alive, 1260 days
1250.8
DO48730
73 years, female, NA, stage:2, alive, 630 days
1249.7
DO45247
31 years, female, NA, stage:2, alive, 210 days
1229.5
DO45279
67 years, male, NA, stage:3, alive, 1290 days
1228.0
DO50825
70 years, male, NA, stage:2, alive, 390 days
1221.4
DO45183
72 years, female, NA, stage:2, dead, 570 days
1219.6
DO45199
86 years, female, NA, stage:2, alive, 1350 days
1217.2
DO45239
42 years, male, NA, stage:2, alive, 870 days
1202.1
DO45299
70 years, female, NA, stage:1, alive, 1440 days
1190.8
DO45287
74 years, male, NA, stage:1, alive, 390 days
1188.2
DO45273
62 years, male, NA, stage:2, alive, 480 days
1181.0
DO45227
57 years, female, NA, stage:2, alive, 1020 days
1170.3
DO45253
50 years, male, NA, stage:2, alive, 870 days
1164.7
DO45103
47 years, male, NA, stage:3, alive, 450 days
1163.8
DO45301
56 years, male, NA, stage:2, dead, 1440 days
1163.2
DO50809
56 years, male, NA, stage:3, dead, 720 days
1162.4
DO50802
49 years, male, NA, stage:2, alive, 930 days
1154.3
DO45261
74 years, male, NA, stage:3, alive, 990 days
1152.4
DO45297
61 years, female, NA, stage:4, dead, 1260 days
1149.7
DO45231
84 years, male, NA, stage:2, alive, 930 days
1146.0
DO45161
74 years, male, NA, stage:2, dead, 540 days
1141.8
DO45277
64 years, male, NA, stage:3, alive, 600 days
1136.3
DO45179
78 years, female, NA, stage:2, alive, 600 days
1127.3
DO45165
75 years, male, NA, stage:2, alive, 690 days
1127.1
DO50805
72 years, male, NA, stage:2, alive, 690 days
1123.5
DO45119
74 years, male, NA, stage:3, dead, 510 days
1122.0
DO45217
69 years, female, NA, stage:3, dead, 270 days
1109.1
DO45139
63 years, male, NA, stage:3, alive, 1320 days
1104.0
DO45131
53 years, male, NA, stage:4, dead, 360 days
1083.8
DO48679
72 years, male, NA, stage:2, alive, 1200 days
1064.4
DO48720
62 years, female, NA, stage:2, alive, 570 days
1061.0
DO50857
72 years, male, NA, stage:2, alive, 210 days
1057.6
DO50839
47 years, female, NA, stage:3, alive, 330 days
1048.1
DO45093
71 years, male, NA, stage:2, dead, 720 days
1044.4
DO50811
62 years, male, NA, stage:1, alive, 450 days
1038.7
DO45092
62 years, male, NA, stage:4, dead, 1200 days
1027.8
DO23543
63 years, male, NA, stage:2, alive, 1020 days
1025.3
DO50783
62 years, male, NA, stage:3, alive, 480 days
1023.4
DO23511
83 years, female, NA, stage:3, dead, 180 days
1010.4
DO50791
79 years, female, NA, stage:1, dead, 480 days
1006.8
DO23537
79 years, male, NA, stage:2, dead, 900 days
1001.2
DO23523
52 years, male, NA, stage:3, alive, 1080 days
982.0
DO48704
68 years, female, NA, stage:3, alive, 750 days
980.9
DO50793
76 years, male, NA, stage:4, alive, 540 days
980.5
DO50822
66 years, male, NA, stage:2, alive, 510 days
976.7
DO45265
73 years, male, NA, stage:3, alive, 1020 days
973.6
DO45275
65 years, male, NA, stage:3, dead, 10 days
969.5
DO45191
61 years, female, NA, stage:2, alive, 1200 days
962.3
DO45141
73 years, male, NA, stage:2, alive, 1320 days
955.8
DO50798
77 years, male, NA, stage:3, dead, 30 days
946.2
DO23542
66 years, male, NA, stage:3, alive, 960 days
944.9
DO45205
67 years, female, NA, stage:2, dead, 90 days
939.9
DO45185
89 years, male, NA, stage:2, alive, 600 days
937.3
DO50820
77 years, female, NA, stage:3, alive, 510 days
922.1
DO48721
58 years, female, NA, stage:1, alive, 900 days
921.0
DO48732
73 years, male, NA, stage:3, alive, 630 days
914.2
DO45109
63 years, male, NA, stage:2, alive, 1590 days
894.5
DO48712
50 years, male, NA, stage:2, alive, 810 days
884.1
DO23541
65 years, male, NA, stage:2, alive, 930 days
881.8
DO48733
72 years, male, NA, stage:2, alive, 600 days
879.2
DO45229
74 years, male, NA, stage:1, alive, 990 days
878.2
DO48695
77 years, male, NA, stage:2, alive, 720 days
860.1
DO48681
57 years, male, NA, stage:2, alive, 900 days
851.7
DO45237
58 years, male, NA, stage:2, alive, 900 days
845.2
DO45157
62 years, male, NA, stage:2, alive, 1980 days
835.4
DO50800
74 years, male, NA, stage:2, alive, 510 days
827.4
DO45171
56 years, male, NA, stage:3, alive, 600 days
819.8
DO50844
75 years, male, NA, stage:4, alive, 300 days
818.6
DO45143
69 years, male, NA, stage:3, alive, 1290 days
818.2
DO23514
64 years, male, NA, stage:2, alive, 1290 days
818.1
DO50813
56 years, male, NA, stage:2, alive, 420 days
817.3
DO23549
74 years, male, NA, stage:3, alive, 990 days
812.3
DO45269
59 years, male, NA, stage:3, alive, 750 days
810.0
DO45255
81 years, male, NA, stage:3, alive, 720 days
802.5
DO45223
67 years, male, NA, stage:4, alive, 1020 days
795.4
DO23540
73 years, male, NA, stage:1, alive, 750 days
787.8
DO45203
71 years, female, NA, stage:2, alive, 1170 days
785.1
DO45133
64 years, male, NA, stage:3, dead, 660 days
784.9
DO23546
63 years, male, NA, stage:2, alive, 1050 days
780.6
DO50829
78 years, male, NA, stage:3, alive, 570 days
777.2
DO48700
78 years, female, NA, stage:2, alive, 810 days
775.7
DO23509
60 years, male, NA, stage:3, dead, 780 days
770.9
DO45201
49 years, male, NA, stage:1, alive, 900 days
768.2
DO50776
75 years, male, NA, stage:1, alive, 690 days
760.5
DO48677
58 years, male, NA, stage:3, alive, 1140 days
756.4
DO23539
77 years, male, NA, stage:1, alive, 1110 days
749.2
DO23547
74 years, male, NA, stage:1, alive, 1020 days
748.5
DO45091
56 years, male, NA, stage:2, dead, 1320 days
746.9
DO50804
81 years, male, NA, stage:2, alive, 720 days
745.7
DO48693
71 years, male, NA, stage:2, alive, 900 days
745.2
DO45181
84 years, female, NA, stage:2, alive, 1200 days
739.7
DO227801
77 years, female, NA, stage:1, alive, 660 days
739.5
DO50799
66 years, female, NA, stage:2, alive, 540 days
738.4
DO48719
80 years, male, NA, stage:2, alive, 690 days
736.3
DO45153
77 years, female, NA, stage:2, alive, 1380 days
735.7
DO45177
81 years, female, NA, stage:3, alive, 1260 days
732.7
DO45123
78 years, female, NA, stage:2, dead, 570 days
728.9
DO48746
76 years, male, NA, stage:3, alive, 570 days
727.6
DO50818
65 years, male, NA, stage:2, alive, 510 days
719.5
DO45235
68 years, female, NA, stage:1, alive, 900 days
703.9
DO48717
54 years, male, NA, stage:4, dead, 180 days
691.5
DO48728
74 years, female, NA, stage:2, alive, 150 days
690.4
DO45113
58 years, male, NA, stage:3, alive, 1560 days
683.1
DO45243
74 years, female, NA, stage:3, alive, 930 days
678.2
DO48725
66 years, male, NA, stage:1, alive, 780 days
677.0
DO227643
79 years, male, NA, stage:2, alive, 1260 days
675.1
DO45257
46 years, male, NA, stage:3, alive, 810 days
670.4
DO50789
73 years, female, NA, stage:2, alive, 570 days
665.7
DO23513
76 years, male, NA, stage:3, alive, 1200 days
664.1
DO45233
83 years, male, NA, stage:3, alive, 900 days
653.7
DO50819
72 years, female, NA, stage:2, alive, 510 days
650.2
DO50816
63 years, male, NA, stage:2, alive, 390 days
646.6
DO45225
69 years, male, NA, stage:1, alive, 1050 days
646.0
DO45245
75 years, female, NA, stage:2, dead, 240 days
645.2
DO45241
49 years, male, NA, stage:1, alive, 1080 days
641.3
DO23510
80 years, female, NA, stage:2, alive, 870 days
641.0
DO50832
73 years, male, NA, stage:3, alive, 90 days
638.7
DO45121
61 years, male, NA, stage:3, alive, 1530 days
637.7
DO45115
81 years, male, NA, stage:2, alive, 840 days
637.4
DO50850
74 years, male, NA, stage:3, alive, 720 days
634.2
DO45267
73 years, male, NA, stage:3, dead, 570 days
628.5
DO45096
69 years, male, NA, stage:2, dead, 1290 days
620.0
DO23524
71 years, female, NA, stage:2, alive, 1050 days
617.6
DO48674
80 years, male, NA, stage:2, alive, 1260 days
616.5
DO45169
74 years, male, NA, stage:3, alive, 1350 days
615.7
DO23551
73 years, male, NA, stage:3, dead, 150 days
583.3
DO23527
72 years, male, NA, stage:1, alive, 1050 days
578.8
DO45137
38 years, male, NA, stage:1, alive, 1320 days
575.2
DO50787
63 years, male, NA, stage:3, alive, 480 days
573.2
DO23538
67 years, male, NA, stage:2, alive, 450 days
572.3
DO48761
55 years, male, NA, stage:2, alive, 870 days
572.3
DO23518
67 years, male, NA, stage:2, alive, 1320 days
568.3
DO23531
78 years, female, NA, stage:3, alive, 900 days
567.1
DO23534
60 years, male, NA, stage:2, alive, 840 days
566.5
DO45155
69 years, male, NA, stage:2, alive, 2160 days
566.2
DO45125
58 years, male, NA, stage:3, alive, 1680 days
565.6
DO48716
71 years, male, NA, stage:2, alive, 720 days
563.1
DO50774
68 years, female, NA, stage:2, alive, 720 days
560.5
DO50845
72 years, male, NA, stage:3, alive, 210 days
553.5
DO45207
68 years, male, NA, stage:1, alive, 1050 days
550.0
DO23548
78 years, female, NA, stage:1, alive, 840 days
549.8
DO23550
69 years, male, NA, stage:1, alive, 990 days
544.0
DO48743
69 years, female, NA, stage:2, alive, 570 days
543.6
DO45129
61 years, male, NA, stage:3, alive, 1470 days
543.4
DO23529
72 years, male, NA, stage:4, alive, 930 days
539.0
DO45099
46 years, male, NA, stage:3, alive, 1590 days
538.6
DO48742
76 years, male, NA, stage:2, alive, 600 days
528.2
DO23535
67 years, male, NA, stage:1, alive, 960 days
521.6
DO50803
62 years, female, NA, stage:1, alive, 540 days
510.4
DO50808
68 years, male, NA, stage:2, alive, 570 days
510.4
DO23544
67 years, male, NA, stage:2, alive, 960 days
498.7
DO45159
65 years, male, NA, stage:3, alive, 1470 days
483.3
DO45094
76 years, male, NA, stage:3, alive, 1650 days
470.7
DO48701
78 years, male, NA, stage:2, alive, 780 days
467.0
DO50817
75 years, male, NA, stage:2, alive, 390 days
459.8
DO48760
70 years, female, NA, stage:2, alive, 690 days
456.6
DO48727
81 years, female, NA, stage:2, dead, 390 days
448.4
DO45263
67 years, male, NA, stage:3, dead, 270 days
442.6
DO23512
60 years, male, NA, stage:1, alive, 1260 days
439.6
DO45197
51 years, male, NA, stage:2, alive, 1170 days
438.1
DO23552
80 years, female, NA, stage:1, alive, 810 days
422.9
DO45195
62 years, male, NA, stage:1, alive, 390 days
400.3
DO23517
62 years, male, NA, stage:2, alive, 1200 days
399.2
DO45215
65 years, male, NA, stage:2, alive, 1170 days
356.5
DO50840
49 years, male, NA, stage:2, alive, 330 days
342.7
DO23532
71 years, female, NA, stage:1, alive, 960 days
326.8
DO45101
63 years, male, NA, stage:2, alive, 1680 days
321.7
DO50807
67 years, male, NA, stage:1, alive, 540 days
303.8
DO45107
63 years, female, NA, stage:2, alive, 1710 days
301.2
DO45105
61 years, male, NA, stage:1, alive, 1680 days
298.3
DO45111
74 years, male, NA, stage:2, alive, 1590 days
282.9
DO45167
67 years, male, NA, stage:2, dead, 1440 days
239.0
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
557
Tumor
0.4
327
Tumor
0.3
685
Tumor
0.3
537
Tumor
0.3
367
Tumor
0.3
851
Tumor
0.3
567
Tumor
0.3
523
Tumor
0.3
481
Tumor
0.3
965
Tumor
0.2
1021
Tumor
0.2
964
Normal
0.2
955
Tumor
0.2
223
Tumor
0.2
983
Tumor
0.2
815
Tumor
0.2
978
Normal
0.2
227
Tumor
0.2
113
Tumor
0.2
1014
Normal
0.2
937
Tumor
0.2
967
Tumor
0.2
353
Tumor
0.2
984
Normal
0.2
944
Normal
0.2
285
Tumor
0.2
331
Tumor
0.2
1046
Normal
0.2
958
Normal
0.2
212
Normal
0.2
864
Normal
0.2
912
Normal
0.2
777
Tumor
0.2
228
Normal
0.2
926
Normal
0.2
968
Normal
0.2
482
Normal
0.2
743
Tumor
0.2
286
Normal
0.2
1027
Tumor
0.2
514
Normal
0.2
517
Tumor
0.1
966
Normal
0.1
452
Normal
0.1
721
Tumor
0.1
756
Normal
0.1
267
Tumor
0.1
526
Normal
0.1
862
Normal
0.1
131
Tumor
0.1
393
Tumor
0.1
467
Tumor
0.1
1042
Normal
0.1
284
Normal
0.1
976
Normal
0.1
982
Normal
0.1
696
Normal
0.1
1044
Normal
0.1
858
Normal
0.1
525
Tumor
0.1
698
Normal
0.1
172
Normal
0.1
824
Normal
0.1
922
Normal
0.1
1016
Normal
0.1
818
Normal
0.1
518
Normal
0.1
395
Tumor
0.1
746
Normal
0.1
866
Normal
0.1
722
Normal
0.1
745
Tumor
0.1
728
Normal
0.1
1026
Normal
0.1
136
Normal
0.1
515
Tumor
0.1
314
Normal
0.1
778
Normal
0.1
786
Normal
0.1
412
Normal
0.1
356
Normal
0.1
738
Normal
0.1
416
Normal
0.1
448
Normal
0.1
938
Normal
0.1
1025
Tumor
0.1
494
Normal
0.1
516
Normal
0.1
636
Normal
0.1
572
Normal
0.1
817
Tumor
0.1
135
Tumor
0.1
1022
Normal
0.1
951
Tumor
0.1
865
Tumor
0.1
713
Tumor
0.1
392
Normal
0.1
232
Normal
0.1
1015
Tumor
0.1
462
Normal
0.1
258
Normal
0.1
661
Tumor
0.1
443
Tumor
0.1
568
Normal
0.1
952
Normal
0.1
918
Normal
0.1
186
Normal
0.1
363
Tumor
0.1
981
Tumor
0.1
328
Normal
0.1
214
Normal
0.1
358
Normal
0.1
571
Tumor
0.1
524
Normal
0.1
513
Tumor
0.1
497
Tumor
0.1
364
Normal
0.1
162
Normal
0.1
128
Normal
0.1
716
Normal
0.0
957
Tumor
0.0
332
Normal
0.0
868
Normal
0.0
142
Normal
0.0
472
Normal
0.0
257
Tumor
0.0
742
Normal
0.0
488
Normal
0.0
727
Tumor
0.0
953
Tumor
0.0
714
Normal
0.0
528
Normal
0.0
785
Tumor
0.0
394
Normal
0.0
466
Normal
0.0
414
Normal
0.0
222
Normal
0.0
573
Tumor
0.0
873
Tumor
0.0
737
Tumor
0.0
558
Normal
0.0
852
Normal
0.0
484
Normal
0.0
426
Normal
0.0
478
Normal
0.0
171
Tumor
0.0
187
Tumor
0.0
963
Tumor
0.0
925
Tumor
0.0
413
Tumor
0.0
376
Normal
0.0
421
Tumor
0.0
723
Tumor
0.0
196
Normal
0.0
816
Normal
0.0
916
Normal
0.0
913
Tumor
0.0
616
Normal
0.0
224
Normal
0.0
617
Tumor
0.0
724
Normal
0.0
877
Tumor
0.0
112
Tumor
0.0
271
Tumor
0.0
527
Tumor
0.0
535
Tumor
0.0
132
Normal
0.0
923
Tumor
0.0
686
Normal
0.0
715
Tumor
0.0
474
Normal
0.0
436
Normal
0.0
493
Tumor
0.0
145
Tumor
0.0
534
Normal
0.0
1032
Normal
0.0
422
Normal
0.0
697
Tumor
0.0
628
Normal
0.0
867
Tumor
0.0
666
Normal
0.0
218
Normal
0.0
354
Normal
0.0
387
Tumor
0.0
956
Normal
0.0
124
Normal
0.0
342
Normal
0.0
298
Normal
0.0
473
Tumor
0.0
111
Normal
0.0
424
Normal
0.0
468
Normal
0.0
1028
Normal
0.0
664
Normal
0.0
415
Tumor
0.0
114
Normal
0.0
564
Normal
0.0
195
Tumor
0.0
546
Normal
0.0
975
Tumor
0.0
231
Tumor
0.0
272
Normal
0.0
432
Normal
0.0
755
Tumor
0.0
278
Normal
0.0
411
Tumor
0.0
425
Tumor
0.0
213
Tumor
0.0
554
Normal
0.0
823
Tumor
0.0
456
Normal
0.0
924
Normal
0.0
662
Normal
0.0
148
Normal
0.0
396
Normal
0.0
137
Tumor
0.0
465
Tumor
0.0
352
Normal
0.0
648
Normal
0.0
261
Tumor
-0.1
451
Tumor
-0.1
1041
Tumor
-0.1
672
Normal
-0.1
857
Tumor
-0.1
914
Normal
-0.1
954
Normal
-0.1
536
Normal
-0.1
878
Normal
-0.1
874
Normal
-0.1
882
Normal
-0.1
574
Normal
-0.1
618
Normal
-0.1
312
Normal
-0.1
464
Normal
-0.1
188
Normal
-0.1
545
Tumor
-0.1
446
Normal
-0.1
147
Tumor
-0.1
385
Tumor
-0.1
351
Tumor
-0.1
388
Normal
-0.1
861
Tumor
-0.1
217
Tumor
-0.1
368
Normal
-0.1
533
Tumor
-0.1
455
Tumor
-0.1
146
Normal
-0.1
471
Tumor
-0.1
1043
Tumor
-0.1
884
Normal
-0.1
191
Tumor
-0.1
386
Normal
-0.1
362
Normal
-0.1
277
Tumor
-0.1
123
Tumor
-0.1
355
Tumor
-0.1
671
Tumor
-0.1
447
Tumor
-0.1
262
Normal
-0.1
428
Normal
-0.1
1031
Tumor
-0.1
344
Normal
-0.1
138
Normal
-0.1
427
Tumor
-0.1
881
Tumor
-0.1
538
Normal
-0.1
161
Tumor
-0.1
813
Tumor
-0.1
492
Normal
-0.1
375
Tumor
-0.1
423
Tumor
-0.1
434
Normal
-0.1
744
Normal
-0.1
921
Tumor
-0.1
553
Tumor
-0.1
211
Tumor
-0.1
221
Tumor
-0.1
883
Tumor
-0.1
127
Tumor
-0.1
642
Normal
-0.1
283
Tumor
-0.1
433
Tumor
-0.1
384
Normal
-0.1
461
Tumor
-0.1
615
Tumor
-0.1
126
Normal
-0.1
814
Normal
-0.1
498
Normal
-0.1
943
Tumor
-0.1
863
Tumor
-0.1
125
Tumor
-0.1
915
Tumor
-0.2
431
Tumor
-0.2
268
Normal
-0.2
366
Normal
-0.2
185
Tumor
-0.2
635
Tumor
-0.2
463
Tumor
-0.2
435
Tumor
-0.2
695
Tumor
-0.2
977
Tumor
-0.2
365
Tumor
-0.2
391
Tumor
-0.2
444
Normal
-0.2
297
Tumor
-0.2
483
Tumor
-0.2
1045
Tumor
-0.2
563
Tumor
-0.2
313
Tumor
-0.2
1013
Tumor
-0.2
341
Tumor
-0.2
477
Tumor
-0.2
361
Tumor
-0.2
665
Tumor
-0.2
445
Tumor
-0.2
487
Tumor
-0.2
917
Tumor
-0.2
663
Tumor
-0.2
141
Tumor
-0.2
911
Tumor
-0.2
192
Normal
-0.2
647
Tumor
-0.3
491
Tumor
-0.3
741
Tumor
-0.3
357
Tumor
-0.3
343
Tumor
-0.3
641
Tumor
-0.3
627
Tumor
-0.3
383
Tumor
-0.3
311
Tumor
-0.4
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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.