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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.
CALR is not prognostic in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
972.7
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
3607.7
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
2685.8
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
2511.2
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
2508.3
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
2343.3
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
2252.5
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
2098.6
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
2074.1
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
1999.9
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
1989.8
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
1987.0
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
1909.7
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
1847.2
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
1802.7
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
1782.5
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
1731.9
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
1715.5
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
1715.3
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
1705.9
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
1694.5
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
1687.7
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
1682.3
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
1668.5
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
1660.9
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
1638.2
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
1621.7
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
1616.3
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
1609.5
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
1601.4
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1587.0
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
1583.8
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
1579.5
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
1574.8
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
1574.3
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
1560.8
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
1549.4
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
1539.2
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
1514.4
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
1514.0
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1509.9
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
1491.0
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
1483.9
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
1470.9
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
1461.1
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
1454.4
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
1452.4
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
1450.1
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
1446.6
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
1422.6
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
1419.6
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1407.8
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
1401.7
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
1400.6
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
1394.1
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
1391.0
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
1384.7
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
1374.8
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1370.3
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
1349.7
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
1343.1
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
1342.9
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
1341.9
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
1327.4
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
1325.2
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1325.1
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
1315.0
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
1312.0
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
1299.3
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
1298.3
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
1287.4
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
1274.4
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
1271.6
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
1254.1
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
1254.0
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
1252.6
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
1251.7
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
1248.1
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
1246.9
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
1241.7
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
1240.2
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
1236.7
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
1219.1
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
1218.8
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
1217.9
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
1215.0
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
1214.8
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
1210.3
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
1181.7
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1177.8
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
1157.3
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
1157.3
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
1152.4
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
1147.7
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
1143.6
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
1139.6
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
1135.4
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1131.9
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
1129.1
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
1127.4
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
1124.2
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
1124.1
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
1120.6
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
1116.5
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
1116.2
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
1115.6
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
1110.3
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
1108.4
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
1104.3
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
1100.6
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
1100.2
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
1098.8
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
1092.2
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
1090.7
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
1088.8
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
1088.6
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
1087.0
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
1085.5
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
1075.6
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
1074.1
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
1067.9
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
1064.3
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
1063.7
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
1063.6
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
1061.5
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
1056.5
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
1055.1
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
1049.9
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1042.6
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
1033.5
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
1032.8
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
1024.4
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
1018.5
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
1018.2
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
1016.8
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1013.7
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
1012.5
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
1010.7
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
1007.4
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
1006.9
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
1006.1
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
1004.5
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
1003.2
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
1001.6
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
999.6
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
997.8
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
996.8
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
993.3
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
987.9
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
986.1
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
985.5
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
985.5
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
985.4
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
976.9
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
968.6
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
965.6
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
965.4
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
964.4
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
958.7
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
956.1
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
949.9
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
948.3
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
942.1
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
941.9
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
939.4
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
937.5
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
937.4
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
936.4
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
935.2
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
933.9
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
931.0
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
927.5
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
925.8
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
923.4
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
920.2
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
917.2
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
913.0
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
907.1
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
905.6
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
904.5
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
899.5
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
895.2
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
894.1
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
893.8
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
893.0
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
890.1
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
888.7
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
879.9
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
876.6
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
876.6
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
874.6
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
872.3
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
864.5
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
862.2
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
860.5
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
860.4
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
858.1
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
856.1
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
852.2
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
846.5
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
845.7
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
842.0
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
837.8
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
825.2
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
823.9
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
822.9
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
822.3
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
818.2
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
816.6
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
816.3
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
815.5
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
815.0
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
807.3
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
805.8
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
804.1
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
803.5
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
803.0
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
802.1
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
801.7
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
801.1
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
800.7
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
799.1
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
794.8
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
793.2
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
790.9
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
783.4
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
783.3
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
782.1
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
779.3
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
778.3
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
777.0
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
774.9
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
772.6
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
772.1
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
771.6
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
771.3
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
770.4
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
759.3
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
757.8
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
755.9
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
753.8
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
752.8
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
751.7
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
749.9
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
749.2
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
746.7
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
744.8
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
740.3
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
740.1
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
734.6
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
734.1
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
732.0
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
726.4
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
726.3
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
718.7
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
718.5
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
717.3
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
717.2
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
716.6
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
715.7
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
713.0
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
710.8
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
708.6
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
708.2
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
708.0
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
706.4
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
705.4
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
705.1
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
700.1
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
697.9
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
697.3
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
692.6
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
681.7
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
681.2
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
675.6
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
675.0
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
666.8
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
661.2
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
659.7
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
659.5
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
658.3
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
656.4
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
654.9
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
652.3
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
649.5
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
649.2
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
648.1
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
648.1
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
645.8
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
638.8
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
636.6
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
635.8
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
633.1
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
630.5
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
627.5
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
626.5
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
624.9
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
624.6
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
624.4
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
623.7
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
622.8
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
615.9
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
613.4
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
612.3
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
605.3
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
600.4
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
596.7
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
586.8
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
584.2
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
583.1
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
566.9
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
564.3
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
564.0
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
563.2
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
561.4
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
561.2
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
546.1
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
546.0
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
545.7
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
541.8
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
536.5
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
525.1
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
524.5
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
524.3
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
519.9
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
519.0
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
518.5
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
518.1
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
514.8
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
514.0
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
512.4
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
508.2
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
505.1
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
496.1
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
485.5
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
477.8
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
476.1
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
467.8
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
454.0
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
443.9
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
437.0
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
435.9
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
430.0
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
428.3
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
425.1
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
425.1
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
423.9
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
423.3
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
414.3
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
409.0
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
404.3
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
397.3
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
387.9
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
381.5
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
364.6
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
344.9
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
336.4
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
330.4
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
313.9
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
295.0
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
287.0
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
248.4
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 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.
CALR is not prognostic in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
1107.4
Number of samples
231
Samples
Sample
Description
pTPM
DO45185
89 years, male, NA, stage:2, alive, 600 days
3256.4
DO45155
69 years, male, NA, stage:2, alive, 2160 days
2822.1
DO45205
67 years, female, NA, stage:2, dead, 90 days
2641.5
DO48701
78 years, male, NA, stage:2, alive, 780 days
2638.3
DO48697
64 years, female, NA, stage:2, dead, 810 days
2459.5
DO45209
70 years, male, NA, stage:4, alive, 1350 days
2451.0
DO23511
83 years, female, NA, stage:3, dead, 180 days
2302.0
DO45275
65 years, male, NA, stage:3, dead, 10 days
2272.0
DO23510
80 years, female, NA, stage:2, alive, 870 days
2100.0
DO45193
68 years, female, NA, stage:4, dead, 120 days
1998.2
DO48733
72 years, male, NA, stage:2, alive, 600 days
1975.3
DO50829
78 years, male, NA, stage:3, alive, 570 days
1910.5
DO48704
68 years, female, NA, stage:3, alive, 750 days
1860.7
DO50832
73 years, male, NA, stage:3, alive, 90 days
1846.1
DO48682
72 years, female, NA, stage:3, dead, 120 days
1827.8
DO45243
74 years, female, NA, stage:3, alive, 930 days
1766.0
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1730.7
DO45217
69 years, female, NA, stage:3, dead, 270 days
1729.1
DO45219
78 years, male, NA, stage:2, alive, 1080 days
1722.0
DO45137
38 years, male, NA, stage:1, alive, 1320 days
1720.1
DO45092
62 years, male, NA, stage:4, dead, 1200 days
1707.4
DO23535
67 years, male, NA, stage:1, alive, 960 days
1692.1
DO45099
46 years, male, NA, stage:3, alive, 1590 days
1686.9
DO48747
62 years, male, NA, stage:3, alive, 540 days
1685.2
DO45283
60 years, male, NA, stage:3, alive, 510 days
1669.3
DO45159
65 years, male, NA, stage:3, alive, 1470 days
1650.3
DO48712
50 years, male, NA, stage:2, alive, 810 days
1648.9
DO50806
70 years, male, NA, stage:4, alive, 540 days
1646.8
DO45237
58 years, male, NA, stage:2, alive, 900 days
1629.1
DO45139
63 years, male, NA, stage:3, alive, 1320 days
1620.8
DO45267
73 years, male, NA, stage:3, dead, 570 days
1607.5
DO48760
70 years, female, NA, stage:2, alive, 690 days
1602.1
DO48737
52 years, male, NA, stage:1, alive, 720 days
1578.6
DO45207
68 years, male, NA, stage:1, alive, 1050 days
1570.7
DO23524
71 years, female, NA, stage:2, alive, 1050 days
1570.4
DO48732
73 years, male, NA, stage:3, alive, 630 days
1559.7
DO45131
53 years, male, NA, stage:4, dead, 360 days
1555.0
DO45121
61 years, male, NA, stage:3, alive, 1530 days
1552.6
DO227801
77 years, female, NA, stage:1, alive, 660 days
1545.6
DO45191
61 years, female, NA, stage:2, alive, 1200 days
1522.9
DO45263
67 years, male, NA, stage:3, dead, 270 days
1515.9
DO45259
65 years, male, NA, stage:3, alive, 330 days
1505.4
DO45231
84 years, male, NA, stage:2, alive, 930 days
1501.4
DO50855
47 years, male, NA, stage:2, alive, 570 days
1488.7
DO45277
64 years, male, NA, stage:3, alive, 600 days
1465.0
DO45307
54 years, female, NA, stage:4, dead, 240 days
1455.6
DO23521
63 years, male, NA, stage:3, alive, 1110 days
1445.9
DO23515
71 years, male, NA, stage:2, alive, 1230 days
1429.1
DO45305
66 years, male, NA, stage:4, alive, 300 days
1422.7
DO45289
78 years, female, NA, stage:3, alive, 360 days
1408.7
DO23537
79 years, male, NA, stage:2, dead, 900 days
1389.9
DO45239
42 years, male, NA, stage:2, alive, 870 days
1385.6
DO23552
80 years, female, NA, stage:1, alive, 810 days
1375.4
DO50813
56 years, male, NA, stage:2, alive, 420 days
1372.2
DO48730
73 years, female, NA, stage:2, alive, 630 days
1352.5
DO48720
62 years, female, NA, stage:2, alive, 570 days
1352.2
DO50850
74 years, male, NA, stage:3, alive, 720 days
1347.0
DO48761
55 years, male, NA, stage:2, alive, 870 days
1346.2
DO45127
73 years, male, NA, stage:3, dead, 420 days
1338.5
DO45213
58 years, male, NA, stage:1, alive, 1200 days
1331.7
DO23527
72 years, male, NA, stage:1, alive, 1050 days
1321.3
DO45285
59 years, male, NA, stage:3, alive, 480 days
1314.7
DO45299
70 years, female, NA, stage:1, alive, 1440 days
1312.8
DO45273
62 years, male, NA, stage:2, alive, 480 days
1310.2
DO45187
32 years, female, NA, stage:1, alive, 1260 days
1292.9
DO50778
60 years, male, NA, stage:4, alive, 630 days
1286.4
DO45119
74 years, male, NA, stage:3, dead, 510 days
1278.9
DO50819
72 years, female, NA, stage:2, alive, 510 days
1271.4
DO48717
54 years, male, NA, stage:4, dead, 180 days
1270.9
DO50800
74 years, male, NA, stage:2, alive, 510 days
1257.2
DO45135
77 years, male, NA, stage:1, alive, 1410 days
1254.0
DO45183
72 years, female, NA, stage:2, dead, 570 days
1243.7
DO45125
58 years, male, NA, stage:3, alive, 1680 days
1234.4
DO48742
76 years, male, NA, stage:2, alive, 600 days
1221.3
DO45095
66 years, male, NA, stage:2, alive, 1620 days
1218.5
DO50840
49 years, male, NA, stage:2, alive, 330 days
1217.4
DO50805
72 years, male, NA, stage:2, alive, 690 days
1210.9
DO50857
72 years, male, NA, stage:2, alive, 210 days
1208.8
DO45221
75 years, female, NA, stage:4, dead, 390 days
1207.7
DO48695
77 years, male, NA, stage:2, alive, 720 days
1206.7
DO45297
61 years, female, NA, stage:4, dead, 1260 days
1203.6
DO48728
74 years, female, NA, stage:2, alive, 150 days
1203.1
DO45211
76 years, male, NA, stage:3, alive, 240 days
1201.2
DO48741
64 years, male, NA, stage:3, alive, 240 days
1182.6
DO50776
75 years, male, NA, stage:1, alive, 690 days
1179.5
DO48725
66 years, male, NA, stage:1, alive, 780 days
1178.3
DO45111
74 years, male, NA, stage:2, alive, 1590 days
1171.8
DO45096
69 years, male, NA, stage:2, dead, 1290 days
1167.7
DO23508
79 years, female, NA, stage:2, alive, 390 days
1164.5
DO23539
77 years, male, NA, stage:1, alive, 1110 days
1160.0
DO50798
77 years, male, NA, stage:3, dead, 30 days
1157.5
DO23516
69 years, male, NA, stage:3, dead, 20 days
1143.8
DO45094
76 years, male, NA, stage:3, alive, 1650 days
1135.1
DO50799
66 years, female, NA, stage:2, alive, 540 days
1132.3
DO45115
81 years, male, NA, stage:2, alive, 840 days
1132.3
DO45165
75 years, male, NA, stage:2, alive, 690 days
1127.5
DO45301
56 years, male, NA, stage:2, dead, 1440 days
1122.3
DO23512
60 years, male, NA, stage:1, alive, 1260 days
1114.5
DO45091
56 years, male, NA, stage:2, dead, 1320 days
1108.7
DO45177
81 years, female, NA, stage:3, alive, 1260 days
1097.4
DO23519
65 years, male, NA, stage:3, alive, 630 days
1078.8
DO45225
69 years, male, NA, stage:1, alive, 1050 days
1078.4
DO45257
46 years, male, NA, stage:3, alive, 810 days
1078.0
DO48681
57 years, male, NA, stage:2, alive, 900 days
1070.8
DO45255
81 years, male, NA, stage:3, alive, 720 days
1070.0
DO45287
74 years, male, NA, stage:1, alive, 390 days
1055.4
DO45227
57 years, female, NA, stage:2, alive, 1020 days
1052.8
DO45303
62 years, female, NA, stage:3, alive, 990 days
1050.3
DO23526
66 years, male, NA, stage:3, alive, 1050 days
1048.1
DO48736
76 years, female, NA, stage:1, alive, 600 days
1042.0
DO48700
78 years, female, NA, stage:2, alive, 810 days
1038.3
DO45149
70 years, female, NA, stage:2, alive, 1260 days
1037.7
DO50811
62 years, male, NA, stage:1, alive, 450 days
1024.6
DO50820
77 years, female, NA, stage:3, alive, 510 days
1024.3
DO45145
78 years, male, NA, stage:3, dead, 60 days
1019.1
DO45103
47 years, male, NA, stage:3, alive, 450 days
1017.5
DO48716
71 years, male, NA, stage:2, alive, 720 days
1014.2
DO45199
86 years, female, NA, stage:2, alive, 1350 days
1010.2
DO45161
74 years, male, NA, stage:2, dead, 540 days
1007.1
DO45189
85 years, female, NA, stage:2, alive, 1200 days
1004.3
DO50822
66 years, male, NA, stage:2, alive, 510 days
999.1
DO50774
68 years, female, NA, stage:2, alive, 720 days
998.7
DO45153
77 years, female, NA, stage:2, alive, 1380 days
998.7
DO45229
74 years, male, NA, stage:1, alive, 990 days
988.7
DO50807
67 years, male, NA, stage:1, alive, 540 days
977.7
DO50791
79 years, female, NA, stage:1, dead, 480 days
970.6
DO23514
64 years, male, NA, stage:2, alive, 1290 days
962.4
DO50844
75 years, male, NA, stage:4, alive, 300 days
957.7
DO23533
61 years, male, NA, stage:2, alive, 900 days
955.8
DO23547
74 years, male, NA, stage:1, alive, 1020 days
948.7
DO45117
73 years, female, NA, stage:2, dead, 1110 days
944.3
DO23550
69 years, male, NA, stage:1, alive, 990 days
942.5
DO50809
56 years, male, NA, stage:3, dead, 720 days
935.2
DO45251
57 years, female, NA, stage:2, alive, 900 days
933.8
DO48746
76 years, male, NA, stage:3, alive, 570 days
933.8
DO23551
73 years, male, NA, stage:3, dead, 150 days
927.8
DO45281
83 years, male, NA, stage:4, alive, 750 days
926.5
DO48693
71 years, male, NA, stage:2, alive, 900 days
924.2
DO45123
78 years, female, NA, stage:2, dead, 570 days
923.7
DO45203
71 years, female, NA, stage:2, alive, 1170 days
922.3
DO50808
68 years, male, NA, stage:2, alive, 570 days
920.8
DO45157
62 years, male, NA, stage:2, alive, 1980 days
920.5
DO45197
51 years, male, NA, stage:2, alive, 1170 days
915.4
DO50845
72 years, male, NA, stage:3, alive, 210 days
904.9
DO45269
59 years, male, NA, stage:3, alive, 750 days
904.7
DO45241
49 years, male, NA, stage:1, alive, 1080 days
900.0
DO45249
57 years, male, NA, stage:1, alive, 630 days
898.8
DO50783
62 years, male, NA, stage:3, alive, 480 days
898.0
DO23530
53 years, male, NA, stage:4, dead, 180 days
893.3
DO45167
67 years, male, NA, stage:2, dead, 1440 days
885.4
DO48715
58 years, female, NA, stage:2, dead, 690 days
883.1
DO45261
74 years, male, NA, stage:3, alive, 990 days
877.7
DO45233
83 years, male, NA, stage:3, alive, 900 days
876.0
DO48706
72 years, male, NA, stage:2, alive, 870 days
865.1
DO45143
69 years, male, NA, stage:3, alive, 1290 days
863.2
DO45163
76 years, male, NA, stage:2, alive, 960 days
859.8
DO45179
78 years, female, NA, stage:2, alive, 600 days
857.3
DO45265
73 years, male, NA, stage:3, alive, 1020 days
854.6
DO45141
73 years, male, NA, stage:2, alive, 1320 days
850.7
DO48679
72 years, male, NA, stage:2, alive, 1200 days
848.9
DO23518
67 years, male, NA, stage:2, alive, 1320 days
844.6
DO50803
62 years, female, NA, stage:1, alive, 540 days
844.3
DO48757
68 years, female, NA, stage:3, alive, 480 days
844.0
DO23549
74 years, male, NA, stage:3, alive, 990 days
841.1
DO48723
73 years, male, NA, stage:1, alive, 600 days
839.1
DO50789
73 years, female, NA, stage:2, alive, 570 days
834.3
DO45171
56 years, male, NA, stage:3, alive, 600 days
831.2
DO23529
72 years, male, NA, stage:4, alive, 930 days
830.1
DO48751
68 years, male, NA, stage:2, dead, 480 days
828.3
DO48759
73 years, male, NA, stage:3, alive, 720 days
819.2
DO23542
66 years, male, NA, stage:3, alive, 960 days
803.4
DO45223
67 years, male, NA, stage:4, alive, 1020 days
798.6
DO23534
60 years, male, NA, stage:2, alive, 840 days
788.1
DO48743
69 years, female, NA, stage:2, alive, 570 days
785.4
DO45093
71 years, male, NA, stage:2, dead, 720 days
784.0
DO50787
63 years, male, NA, stage:3, alive, 480 days
784.0
DO45113
58 years, male, NA, stage:3, alive, 1560 days
780.5
DO45101
63 years, male, NA, stage:2, alive, 1680 days
780.3
DO45253
50 years, male, NA, stage:2, alive, 870 days
778.1
DO48727
81 years, female, NA, stage:2, dead, 390 days
771.0
DO45279
67 years, male, NA, stage:3, alive, 1290 days
766.9
DO45097
69 years, male, NA, stage:3, alive, 1620 days
756.8
DO23513
76 years, male, NA, stage:3, alive, 1200 days
748.2
DO23528
45 years, female, NA, stage:2, alive, 1020 days
730.8
DO45215
65 years, male, NA, stage:2, alive, 1170 days
729.5
DO48719
80 years, male, NA, stage:2, alive, 690 days
722.8
DO45173
63 years, male, NA, stage:3, alive, 1170 days
713.6
DO227643
79 years, male, NA, stage:2, alive, 1260 days
704.0
DO50802
49 years, male, NA, stage:2, alive, 930 days
701.4
DO23541
65 years, male, NA, stage:2, alive, 930 days
701.4
DO45245
75 years, female, NA, stage:2, dead, 240 days
696.9
DO50815
62 years, male, NA, stage:3, alive, 150 days
695.0
DO50825
70 years, male, NA, stage:2, alive, 390 days
686.3
DO50804
81 years, male, NA, stage:2, alive, 720 days
682.8
DO50818
65 years, male, NA, stage:2, alive, 510 days
678.3
DO48721
58 years, female, NA, stage:1, alive, 900 days
673.8
DO50793
76 years, male, NA, stage:4, alive, 540 days
654.4
DO23540
73 years, male, NA, stage:1, alive, 750 days
653.3
DO45129
61 years, male, NA, stage:3, alive, 1470 days
645.7
DO23548
78 years, female, NA, stage:1, alive, 840 days
642.8
DO23546
63 years, male, NA, stage:2, alive, 1050 days
641.7
DO45247
31 years, female, NA, stage:2, alive, 210 days
635.1
DO23543
63 years, male, NA, stage:2, alive, 1020 days
629.5
DO45133
64 years, male, NA, stage:3, dead, 660 days
610.3
DO23523
52 years, male, NA, stage:3, alive, 1080 days
609.2
DO45195
62 years, male, NA, stage:1, alive, 390 days
607.9
DO23509
60 years, male, NA, stage:3, dead, 780 days
606.7
DO45169
74 years, male, NA, stage:3, alive, 1350 days
601.6
DO23538
67 years, male, NA, stage:2, alive, 450 days
599.1
DO23536
56 years, male, NA, stage:2, alive, 930 days
598.6
DO23544
67 years, male, NA, stage:2, alive, 960 days
597.4
DO45235
68 years, female, NA, stage:1, alive, 900 days
591.6
DO50816
63 years, male, NA, stage:2, alive, 390 days
586.5
DO50839
47 years, female, NA, stage:3, alive, 330 days
570.6
DO23532
71 years, female, NA, stage:1, alive, 960 days
568.0
DO45201
49 years, male, NA, stage:1, alive, 900 days
560.9
DO23545
67 years, male, NA, stage:2, dead, 570 days
559.4
DO45107
63 years, female, NA, stage:2, alive, 1710 days
530.6
DO50785
37 years, male, NA, stage:4, dead, 90 days
515.8
DO45181
84 years, female, NA, stage:2, alive, 1200 days
496.2
DO45109
63 years, male, NA, stage:2, alive, 1590 days
489.5
DO50859
77 years, male, NA, stage:2, alive, 180 days
487.8
DO50814
83 years, male, NA, stage:3, alive, 420 days
481.7
DO23517
62 years, male, NA, stage:2, alive, 1200 days
464.4
DO48674
80 years, male, NA, stage:2, alive, 1260 days
433.3
DO45175
74 years, male, NA, stage:2, alive, 1140 days
428.6
DO23531
78 years, female, NA, stage:3, alive, 900 days
426.1
DO45105
61 years, male, NA, stage:1, alive, 1680 days
414.7
DO48672
81 years, male, NA, stage:2, alive, 450 days
392.4
DO50817
75 years, male, NA, stage:2, alive, 390 days
283.8
DO48677
58 years, male, NA, stage:3, alive, 1140 days
252.3
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
813
Tumor
1.3
227
Tumor
0.8
777
Tumor
0.8
727
Tumor
0.7
1015
Tumor
0.6
814
Normal
0.5
937
Tumor
0.5
195
Tumor
0.4
125
Tumor
0.4
368
Normal
0.4
113
Tumor
0.4
223
Tumor
0.3
557
Tumor
0.3
218
Normal
0.3
983
Tumor
0.3
467
Tumor
0.3
553
Tumor
0.3
327
Tumor
0.3
445
Tumor
0.3
285
Tumor
0.3
286
Normal
0.3
353
Tumor
0.3
171
Tumor
0.3
755
Tumor
0.2
137
Tumor
0.2
527
Tumor
0.2
723
Tumor
0.2
615
Tumor
0.2
392
Normal
0.2
963
Tumor
0.2
452
Normal
0.2
636
Normal
0.2
738
Normal
0.2
696
Normal
0.2
966
Normal
0.2
387
Tumor
0.2
463
Tumor
0.2
778
Normal
0.2
742
Normal
0.2
686
Normal
0.2
1027
Tumor
0.2
728
Normal
0.2
172
Normal
0.2
414
Normal
0.1
1044
Normal
0.1
981
Tumor
0.1
955
Tumor
0.1
523
Tumor
0.1
528
Normal
0.1
737
Tumor
0.1
412
Normal
0.1
217
Tumor
0.1
395
Tumor
0.1
128
Normal
0.1
978
Normal
0.1
863
Tumor
0.1
714
Normal
0.1
721
Tumor
0.1
212
Normal
0.1
448
Normal
0.1
497
Tumor
0.1
1026
Normal
0.1
526
Normal
0.1
426
Normal
0.1
376
Normal
0.1
514
Normal
0.1
518
Normal
0.1
1014
Normal
0.1
228
Normal
0.1
1022
Normal
0.1
124
Normal
0.1
914
Normal
0.1
697
Tumor
0.1
851
Tumor
0.1
567
Tumor
0.1
857
Tumor
0.1
221
Tumor
0.1
186
Normal
0.1
136
Normal
0.1
922
Normal
0.0
111
Normal
0.0
554
Normal
0.0
816
Normal
0.0
422
Normal
0.0
481
Tumor
0.0
746
Normal
0.0
952
Normal
0.0
142
Normal
0.0
432
Normal
0.0
187
Tumor
0.0
944
Normal
0.0
112
Tumor
0.0
913
Tumor
0.0
188
Normal
0.0
162
Normal
0.0
642
Normal
0.0
284
Normal
0.0
698
Normal
0.0
148
Normal
0.0
332
Normal
0.0
756
Normal
0.0
114
Normal
0.0
135
Tumor
0.0
466
Normal
0.0
648
Normal
0.0
147
Tumor
0.0
864
Normal
0.0
196
Normal
0.0
568
Normal
0.0
222
Normal
0.0
132
Normal
0.0
1016
Normal
0.0
883
Tumor
0.0
394
Normal
0.0
455
Tumor
0.0
866
Normal
0.0
1021
Tumor
0.0
984
Normal
0.0
214
Normal
0.0
1046
Normal
0.0
558
Normal
0.0
1028
Normal
0.0
138
Normal
0.0
358
Normal
0.0
968
Normal
0.0
982
Normal
0.0
785
Tumor
0.0
468
Normal
0.0
616
Normal
0.0
433
Tumor
0.0
494
Normal
0.0
1013
Tumor
0.0
564
Normal
0.0
277
Tumor
0.0
926
Normal
0.0
224
Normal
0.0
232
Normal
0.0
474
Normal
0.0
258
Normal
0.0
515
Tumor
0.0
314
Normal
-0.1
492
Normal
-0.1
956
Normal
-0.1
462
Normal
-0.1
938
Normal
-0.1
662
Normal
-0.1
375
Tumor
-0.1
524
Normal
-0.1
261
Tumor
-0.1
744
Normal
-0.1
1025
Tumor
-0.1
145
Tumor
-0.1
126
Normal
-0.1
572
Normal
-0.1
356
Normal
-0.1
424
Normal
-0.1
357
Tumor
-0.1
916
Normal
-0.1
918
Normal
-0.1
912
Normal
-0.1
878
Normal
-0.1
262
Normal
-0.1
862
Normal
-0.1
388
Normal
-0.1
534
Normal
-0.1
446
Normal
-0.1
954
Normal
-0.1
976
Normal
-0.1
278
Normal
-0.1
964
Normal
-0.1
434
Normal
-0.1
344
Normal
-0.1
421
Tumor
-0.1
722
Normal
-0.1
666
Normal
-0.1
882
Normal
-0.1
865
Tumor
-0.1
342
Normal
-0.1
953
Tumor
-0.1
415
Tumor
-0.1
741
Tumor
-0.1
396
Normal
-0.1
663
Tumor
-0.1
628
Normal
-0.1
536
Normal
-0.1
443
Tumor
-0.1
488
Normal
-0.1
1043
Tumor
-0.1
257
Tumor
-0.1
716
Normal
-0.1
924
Normal
-0.1
546
Normal
-0.1
1032
Normal
-0.1
1042
Normal
-0.1
484
Normal
-0.1
513
Tumor
-0.1
362
Normal
-0.1
431
Tumor
-0.1
618
Normal
-0.1
786
Normal
-0.1
384
Normal
-0.1
464
Normal
-0.1
858
Normal
-0.1
363
Tumor
-0.1
123
Tumor
-0.1
1045
Tumor
-0.1
868
Normal
-0.1
917
Tumor
-0.1
386
Normal
-0.1
724
Normal
-0.1
713
Tumor
-0.1
743
Tumor
-0.1
884
Normal
-0.1
354
Normal
-0.2
272
Normal
-0.2
745
Tumor
-0.2
436
Normal
-0.2
538
Normal
-0.2
271
Tumor
-0.2
141
Tumor
-0.2
365
Tumor
-0.2
447
Tumor
-0.2
874
Normal
-0.2
664
Normal
-0.2
393
Tumor
-0.2
977
Tumor
-0.2
873
Tumor
-0.2
493
Tumor
-0.2
824
Normal
-0.2
416
Normal
-0.2
574
Normal
-0.2
451
Tumor
-0.2
268
Normal
-0.2
472
Normal
-0.2
852
Normal
-0.2
456
Normal
-0.2
635
Tumor
-0.2
312
Normal
-0.2
191
Tumor
-0.2
352
Normal
-0.2
366
Normal
-0.2
328
Normal
-0.2
672
Normal
-0.2
943
Tumor
-0.2
343
Tumor
-0.2
444
Normal
-0.2
482
Normal
-0.2
423
Tumor
-0.2
428
Normal
-0.2
461
Tumor
-0.2
958
Normal
-0.2
435
Tumor
-0.2
267
Tumor
-0.2
146
Normal
-0.2
915
Tumor
-0.2
411
Tumor
-0.2
298
Normal
-0.3
823
Tumor
-0.3
364
Normal
-0.3
498
Normal
-0.3
818
Normal
-0.3
923
Tumor
-0.3
861
Tumor
-0.3
921
Tumor
-0.3
516
Normal
-0.3
491
Tumor
-0.3
185
Tumor
-0.3
211
Tumor
-0.3
951
Tumor
-0.3
647
Tumor
-0.3
361
Tumor
-0.3
477
Tumor
-0.3
617
Tumor
-0.3
665
Tumor
-0.3
533
Tumor
-0.3
331
Tumor
-0.3
478
Normal
-0.3
881
Tumor
-0.3
311
Tumor
-0.4
545
Tumor
-0.4
817
Tumor
-0.4
815
Tumor
-0.4
355
Tumor
-0.4
313
Tumor
-0.4
965
Tumor
-0.4
975
Tumor
-0.4
367
Tumor
-0.4
1031
Tumor
-0.4
483
Tumor
-0.4
661
Tumor
-0.4
925
Tumor
-0.4
525
Tumor
-0.4
471
Tumor
-0.4
537
Tumor
-0.4
487
Tumor
-0.4
192
Normal
-0.4
231
Tumor
-0.4
877
Tumor
-0.5
383
Tumor
-0.5
413
Tumor
-0.5
127
Tumor
-0.5
517
Tumor
-0.5
563
Tumor
-0.5
283
Tumor
-0.5
573
Tumor
-0.5
867
Tumor
-0.5
967
Tumor
-0.5
465
Tumor
-0.5
685
Tumor
-0.5
695
Tumor
-0.5
297
Tumor
-0.5
911
Tumor
-0.5
473
Tumor
-0.6
131
Tumor
-0.6
391
Tumor
-0.6
351
Tumor
-0.6
535
Tumor
-0.6
1041
Tumor
-0.6
161
Tumor
-0.6
385
Tumor
-0.6
641
Tumor
-0.6
627
Tumor
-0.6
213
Tumor
-0.6
571
Tumor
-0.7
425
Tumor
-0.7
715
Tumor
-0.7
427
Tumor
-0.8
957
Tumor
-0.8
671
Tumor
-0.8
341
Tumor
-1.1
Show allShow less
LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
