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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.
PFN1 is potential prognostic, high expression is unfavorable in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
815.8
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
7143.6
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
2528.5
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
2058.3
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
2028.8
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
1979.5
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
1892.2
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
1832.7
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
1826.9
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
1783.1
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
1777.1
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
1706.2
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
1685.0
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
1663.0
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
1614.1
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
1604.0
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
1565.5
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
1539.2
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
1535.2
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
1526.7
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
1450.2
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
1422.9
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
1422.3
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
1419.8
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
1409.9
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
1386.1
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
1358.9
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
1349.4
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
1338.0
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
1303.1
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1299.8
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
1298.3
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
1297.1
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
1296.6
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
1294.1
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
1270.4
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
1267.9
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
1252.0
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1237.2
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
1233.6
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
1230.3
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
1217.7
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
1211.1
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
1207.8
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
1205.2
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
1203.4
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
1199.5
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
1190.5
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
1183.1
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
1182.0
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
1171.7
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
1160.6
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1151.9
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
1148.7
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
1148.6
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
1144.1
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
1142.0
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
1134.8
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
1134.0
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
1124.2
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
1123.2
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
1113.6
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
1111.7
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
1108.2
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
1107.9
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
1104.8
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
1103.7
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
1099.8
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
1096.7
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
1082.4
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
1069.8
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
1066.8
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
1063.6
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
1060.5
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
1059.3
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
1058.7
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
1051.8
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
1049.7
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
1049.3
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
1035.0
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
1032.7
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
1032.2
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
1028.7
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
1023.7
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
1023.2
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
1010.7
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
998.7
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
996.2
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
994.6
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
992.8
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
986.4
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
980.7
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
979.8
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
973.7
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
947.0
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
945.7
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
945.6
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
936.4
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
935.6
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
933.7
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
933.4
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
929.9
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
929.6
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
919.0
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
917.2
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
915.9
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
915.3
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
905.7
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
900.9
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
899.4
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
890.1
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
886.4
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
886.3
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
885.2
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
884.4
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
883.4
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
876.0
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
872.8
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
872.3
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
867.1
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
866.3
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
863.7
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
862.8
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
859.0
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
855.2
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
847.2
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
840.7
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
840.1
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
836.8
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
833.9
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
828.9
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
825.5
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
824.7
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
822.5
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
821.3
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
819.4
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
818.7
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
817.1
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
816.3
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
815.9
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
815.5
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
815.0
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
813.3
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
812.8
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
810.3
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
809.5
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
809.2
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
808.5
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
805.9
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
793.9
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
790.8
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
789.6
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
784.7
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
783.0
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
782.7
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
781.9
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
779.9
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
779.5
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
772.7
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
767.9
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
764.9
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
762.5
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
761.3
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
757.5
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
755.7
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
755.3
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
753.6
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
752.9
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
751.8
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
741.5
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
733.0
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
731.2
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
731.2
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
729.3
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
729.2
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
728.0
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
726.4
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
725.2
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
725.0
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
723.8
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
723.3
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
723.1
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
721.2
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
720.4
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
717.1
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
716.7
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
714.1
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
710.6
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
709.3
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
708.5
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
705.8
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
705.1
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
704.7
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
703.4
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
703.3
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
702.6
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
702.0
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
699.5
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
698.1
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
696.6
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
696.3
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
694.8
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
687.8
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
683.9
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
682.6
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
680.4
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
680.3
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
676.3
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
674.8
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
671.8
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
671.3
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
667.5
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
667.3
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
666.6
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
666.2
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
664.3
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
662.9
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
661.4
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
659.2
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
657.9
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
652.7
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
648.4
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
647.9
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
645.2
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
643.4
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
636.5
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
634.5
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
631.3
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
631.1
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
627.1
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
625.4
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
623.3
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
623.2
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
622.8
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
621.3
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
620.8
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
615.6
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
615.5
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
610.1
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
601.0
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
599.3
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
599.1
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
597.0
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
596.3
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
595.8
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
595.4
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
592.9
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
592.1
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
590.9
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
588.1
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
587.4
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
582.8
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
582.6
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
582.1
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
579.8
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
579.1
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
578.7
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
577.4
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
569.6
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
564.1
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
564.0
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
563.6
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
563.4
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
563.1
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
561.3
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
560.7
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
560.2
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
559.3
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
553.9
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
551.9
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
551.6
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
551.4
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
550.1
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
548.2
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
548.0
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
544.9
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
543.8
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
543.1
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
539.5
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
536.3
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
534.2
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
532.4
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
530.7
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
527.3
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
526.9
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
521.5
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
521.4
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
521.1
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
519.1
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
518.1
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
518.0
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
515.5
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
515.1
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
512.0
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
511.2
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
506.1
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
501.9
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
501.0
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
500.5
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
497.4
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
494.5
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
490.6
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
490.2
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
487.5
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
486.7
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
485.1
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
483.6
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
479.9
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
477.8
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
477.0
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
475.9
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
475.0
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
474.2
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
473.6
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
473.5
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
470.0
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
469.3
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
468.5
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
465.3
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
463.6
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
462.5
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
461.0
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
459.9
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
459.2
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
458.4
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
457.7
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
455.1
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
454.8
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
451.0
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
446.1
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
446.0
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
436.5
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
434.1
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
431.5
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
427.4
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
425.8
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
422.9
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
421.3
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
418.4
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
403.7
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
399.5
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
399.2
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
393.9
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
390.9
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
383.7
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
377.2
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
376.8
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
374.2
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
367.4
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
337.7
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
325.9
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
323.8
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
320.1
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
319.5
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
312.2
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
297.2
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
283.7
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
270.3
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
268.1
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
262.7
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
224.7
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
220.7
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 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.
PFN1 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
955.7
Number of samples
231
Samples
Sample
Description
pTPM
DO45307
54 years, female, NA, stage:4, dead, 240 days
3553.5
DO45277
64 years, male, NA, stage:3, alive, 600 days
3239.8
DO45301
56 years, male, NA, stage:2, dead, 1440 days
3026.3
DO45287
74 years, male, NA, stage:1, alive, 390 days
2726.0
DO45209
70 years, male, NA, stage:4, alive, 1350 days
2564.7
DO45305
66 years, male, NA, stage:4, alive, 300 days
2544.8
DO45259
65 years, male, NA, stage:3, alive, 330 days
2483.0
DO48747
62 years, male, NA, stage:3, alive, 540 days
2473.9
DO45289
78 years, female, NA, stage:3, alive, 360 days
2338.0
DO23526
66 years, male, NA, stage:3, alive, 1050 days
2135.2
DO45249
57 years, male, NA, stage:1, alive, 630 days
2097.4
DO23508
79 years, female, NA, stage:2, alive, 390 days
1990.9
DO45211
76 years, male, NA, stage:3, alive, 240 days
1990.8
DO45145
78 years, male, NA, stage:3, dead, 60 days
1990.2
DO45155
69 years, male, NA, stage:2, alive, 2160 days
1983.4
DO23523
52 years, male, NA, stage:3, alive, 1080 days
1979.7
DO45139
63 years, male, NA, stage:3, alive, 1320 days
1968.0
DO45185
89 years, male, NA, stage:2, alive, 600 days
1949.3
DO45297
61 years, female, NA, stage:4, dead, 1260 days
1892.9
DO50778
60 years, male, NA, stage:4, alive, 630 days
1861.5
DO45299
70 years, female, NA, stage:1, alive, 1440 days
1840.3
DO23547
74 years, male, NA, stage:1, alive, 1020 days
1768.2
DO45285
59 years, male, NA, stage:3, alive, 480 days
1685.2
DO45251
57 years, female, NA, stage:2, alive, 900 days
1624.6
DO45275
65 years, male, NA, stage:3, dead, 10 days
1622.3
DO45303
62 years, female, NA, stage:3, alive, 990 days
1613.3
DO45183
72 years, female, NA, stage:2, dead, 570 days
1591.0
DO50800
74 years, male, NA, stage:2, alive, 510 days
1584.5
DO48697
64 years, female, NA, stage:2, dead, 810 days
1557.7
DO23549
74 years, male, NA, stage:3, alive, 990 days
1542.4
DO48717
54 years, male, NA, stage:4, dead, 180 days
1489.3
DO45279
67 years, male, NA, stage:3, alive, 1290 days
1442.8
DO50829
78 years, male, NA, stage:3, alive, 570 days
1432.8
DO50805
72 years, male, NA, stage:2, alive, 690 days
1421.7
DO23519
65 years, male, NA, stage:3, alive, 630 days
1393.3
DO48737
52 years, male, NA, stage:1, alive, 720 days
1339.8
DO50819
72 years, female, NA, stage:2, alive, 510 days
1330.1
DO45205
67 years, female, NA, stage:2, dead, 90 days
1327.5
DO23530
53 years, male, NA, stage:4, dead, 180 days
1321.4
DO23535
67 years, male, NA, stage:1, alive, 960 days
1306.9
DO48728
74 years, female, NA, stage:2, alive, 150 days
1303.4
DO48720
62 years, female, NA, stage:2, alive, 570 days
1301.2
DO45257
46 years, male, NA, stage:3, alive, 810 days
1284.7
DO50799
66 years, female, NA, stage:2, alive, 540 days
1263.2
DO50806
70 years, male, NA, stage:4, alive, 540 days
1259.6
DO45173
63 years, male, NA, stage:3, alive, 1170 days
1255.4
DO50802
49 years, male, NA, stage:2, alive, 930 days
1242.7
DO48695
77 years, male, NA, stage:2, alive, 720 days
1238.1
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1222.7
DO45245
75 years, female, NA, stage:2, dead, 240 days
1214.8
DO23514
64 years, male, NA, stage:2, alive, 1290 days
1212.1
DO48751
68 years, male, NA, stage:2, dead, 480 days
1208.6
DO45263
67 years, male, NA, stage:3, dead, 270 days
1208.5
DO45141
73 years, male, NA, stage:2, alive, 1320 days
1204.2
DO45179
78 years, female, NA, stage:2, alive, 600 days
1201.1
DO45191
61 years, female, NA, stage:2, alive, 1200 days
1194.7
DO48700
78 years, female, NA, stage:2, alive, 810 days
1175.0
DO45283
60 years, male, NA, stage:3, alive, 510 days
1142.9
DO48736
76 years, female, NA, stage:1, alive, 600 days
1140.6
DO45095
66 years, male, NA, stage:2, alive, 1620 days
1132.5
DO48733
72 years, male, NA, stage:2, alive, 600 days
1116.7
DO45231
84 years, male, NA, stage:2, alive, 930 days
1107.9
DO45159
65 years, male, NA, stage:3, alive, 1470 days
1077.9
DO50791
79 years, female, NA, stage:1, dead, 480 days
1076.8
DO50813
56 years, male, NA, stage:2, alive, 420 days
1071.1
DO50809
56 years, male, NA, stage:3, dead, 720 days
1066.3
DO48761
55 years, male, NA, stage:2, alive, 870 days
1058.9
DO45161
74 years, male, NA, stage:2, dead, 540 days
1055.5
DO45131
53 years, male, NA, stage:4, dead, 360 days
1049.8
DO45273
62 years, male, NA, stage:2, alive, 480 days
1047.8
DO50820
77 years, female, NA, stage:3, alive, 510 days
1032.0
DO48732
73 years, male, NA, stage:3, alive, 630 days
1030.7
DO50776
75 years, male, NA, stage:1, alive, 690 days
1025.7
DO23528
45 years, female, NA, stage:2, alive, 1020 days
1013.1
DO45119
74 years, male, NA, stage:3, dead, 510 days
1004.8
DO23515
71 years, male, NA, stage:2, alive, 1230 days
1002.9
DO50818
65 years, male, NA, stage:2, alive, 510 days
998.8
DO45157
62 years, male, NA, stage:2, alive, 1980 days
998.0
DO45099
46 years, male, NA, stage:3, alive, 1590 days
991.9
DO23524
71 years, female, NA, stage:2, alive, 1050 days
988.6
DO45103
47 years, male, NA, stage:3, alive, 450 days
985.9
DO45092
62 years, male, NA, stage:4, dead, 1200 days
978.9
DO48759
73 years, male, NA, stage:3, alive, 720 days
978.3
DO45153
77 years, female, NA, stage:2, alive, 1380 days
975.4
DO45267
73 years, male, NA, stage:3, dead, 570 days
974.2
DO45269
59 years, male, NA, stage:3, alive, 750 days
970.7
DO50815
62 years, male, NA, stage:3, alive, 150 days
967.1
DO45127
73 years, male, NA, stage:3, dead, 420 days
963.3
DO23521
63 years, male, NA, stage:3, alive, 1110 days
948.9
DO50855
47 years, male, NA, stage:2, alive, 570 days
948.7
DO45217
69 years, female, NA, stage:3, dead, 270 days
947.8
DO48730
73 years, female, NA, stage:2, alive, 630 days
938.1
DO45121
61 years, male, NA, stage:3, alive, 1530 days
926.9
DO45135
77 years, male, NA, stage:1, alive, 1410 days
922.7
DO45221
75 years, female, NA, stage:4, dead, 390 days
921.9
DO23548
78 years, female, NA, stage:1, alive, 840 days
908.1
DO45177
81 years, female, NA, stage:3, alive, 1260 days
896.6
DO48712
50 years, male, NA, stage:2, alive, 810 days
886.0
DO45261
74 years, male, NA, stage:3, alive, 990 days
873.3
DO23542
66 years, male, NA, stage:3, alive, 960 days
859.9
DO50785
37 years, male, NA, stage:4, dead, 90 days
855.5
DO45233
83 years, male, NA, stage:3, alive, 900 days
854.2
DO45255
81 years, male, NA, stage:3, alive, 720 days
851.6
DO50811
62 years, male, NA, stage:1, alive, 450 days
841.3
DO48741
64 years, male, NA, stage:3, alive, 240 days
835.3
DO45181
84 years, female, NA, stage:2, alive, 1200 days
835.1
DO227801
77 years, female, NA, stage:1, alive, 660 days
834.4
DO23516
69 years, male, NA, stage:3, dead, 20 days
833.0
DO45219
78 years, male, NA, stage:2, alive, 1080 days
832.1
DO45093
71 years, male, NA, stage:2, dead, 720 days
824.8
DO23529
72 years, male, NA, stage:4, alive, 930 days
820.0
DO50822
66 years, male, NA, stage:2, alive, 510 days
807.5
DO45213
58 years, male, NA, stage:1, alive, 1200 days
803.1
DO45203
71 years, female, NA, stage:2, alive, 1170 days
798.4
DO48760
70 years, female, NA, stage:2, alive, 690 days
788.7
DO48719
80 years, male, NA, stage:2, alive, 690 days
787.7
DO50783
62 years, male, NA, stage:3, alive, 480 days
785.5
DO50825
70 years, male, NA, stage:2, alive, 390 days
783.3
DO23510
80 years, female, NA, stage:2, alive, 870 days
778.8
DO50839
47 years, female, NA, stage:3, alive, 330 days
775.1
DO45265
73 years, male, NA, stage:3, alive, 1020 days
769.6
DO45165
75 years, male, NA, stage:2, alive, 690 days
767.7
DO45199
86 years, female, NA, stage:2, alive, 1350 days
765.7
DO45094
76 years, male, NA, stage:3, alive, 1650 days
763.2
DO50804
81 years, male, NA, stage:2, alive, 720 days
762.5
DO45225
69 years, male, NA, stage:1, alive, 1050 days
756.0
DO45109
63 years, male, NA, stage:2, alive, 1590 days
754.4
DO23537
79 years, male, NA, stage:2, dead, 900 days
744.4
DO45115
81 years, male, NA, stage:2, alive, 840 days
743.3
DO48723
73 years, male, NA, stage:1, alive, 600 days
739.2
DO45215
65 years, male, NA, stage:2, alive, 1170 days
731.5
DO45227
57 years, female, NA, stage:2, alive, 1020 days
730.8
DO45171
56 years, male, NA, stage:3, alive, 600 days
728.3
DO45189
85 years, female, NA, stage:2, alive, 1200 days
721.2
DO23543
63 years, male, NA, stage:2, alive, 1020 days
719.8
DO23541
65 years, male, NA, stage:2, alive, 930 days
711.9
DO50857
72 years, male, NA, stage:2, alive, 210 days
709.2
DO48693
71 years, male, NA, stage:2, alive, 900 days
707.4
DO48679
72 years, male, NA, stage:2, alive, 1200 days
703.3
DO45129
61 years, male, NA, stage:3, alive, 1470 days
700.2
DO45235
68 years, female, NA, stage:1, alive, 900 days
699.6
DO45187
32 years, female, NA, stage:1, alive, 1260 days
695.4
DO45247
31 years, female, NA, stage:2, alive, 210 days
693.5
DO45281
83 years, male, NA, stage:4, alive, 750 days
691.8
DO48742
76 years, male, NA, stage:2, alive, 600 days
688.0
DO50787
63 years, male, NA, stage:3, alive, 480 days
685.1
DO23544
67 years, male, NA, stage:2, alive, 960 days
680.8
DO23550
69 years, male, NA, stage:1, alive, 990 days
671.9
DO45243
74 years, female, NA, stage:3, alive, 930 days
665.6
DO45207
68 years, male, NA, stage:1, alive, 1050 days
663.0
DO23545
67 years, male, NA, stage:2, dead, 570 days
663.0
DO48725
66 years, male, NA, stage:1, alive, 780 days
661.0
DO50859
77 years, male, NA, stage:2, alive, 180 days
657.0
DO50793
76 years, male, NA, stage:4, alive, 540 days
656.7
DO50844
75 years, male, NA, stage:4, alive, 300 days
654.9
DO48701
78 years, male, NA, stage:2, alive, 780 days
654.8
DO45239
42 years, male, NA, stage:2, alive, 870 days
647.7
DO48682
72 years, female, NA, stage:3, dead, 120 days
642.1
DO50803
62 years, female, NA, stage:1, alive, 540 days
642.1
DO45096
69 years, male, NA, stage:2, dead, 1290 days
641.8
DO50840
49 years, male, NA, stage:2, alive, 330 days
640.1
DO23527
72 years, male, NA, stage:1, alive, 1050 days
636.4
DO50832
73 years, male, NA, stage:3, alive, 90 days
625.1
DO48757
68 years, female, NA, stage:3, alive, 480 days
623.1
DO50808
68 years, male, NA, stage:2, alive, 570 days
622.5
DO48715
58 years, female, NA, stage:2, dead, 690 days
620.3
DO50798
77 years, male, NA, stage:3, dead, 30 days
618.5
DO23536
56 years, male, NA, stage:2, alive, 930 days
605.9
DO23551
73 years, male, NA, stage:3, dead, 150 days
605.3
DO48743
69 years, female, NA, stage:2, alive, 570 days
600.9
DO45193
68 years, female, NA, stage:4, dead, 120 days
600.6
DO45143
69 years, male, NA, stage:3, alive, 1290 days
600.3
DO45237
58 years, male, NA, stage:2, alive, 900 days
596.2
DO50774
68 years, female, NA, stage:2, alive, 720 days
589.3
DO23552
80 years, female, NA, stage:1, alive, 810 days
584.9
DO45223
67 years, male, NA, stage:4, alive, 1020 days
581.4
DO48674
80 years, male, NA, stage:2, alive, 1260 days
580.9
DO23518
67 years, male, NA, stage:2, alive, 1320 days
580.1
DO23540
73 years, male, NA, stage:1, alive, 750 days
579.8
DO50817
75 years, male, NA, stage:2, alive, 390 days
574.5
DO45137
38 years, male, NA, stage:1, alive, 1320 days
574.4
DO45101
63 years, male, NA, stage:2, alive, 1680 days
561.4
DO45201
49 years, male, NA, stage:1, alive, 900 days
558.8
DO48681
57 years, male, NA, stage:2, alive, 900 days
550.8
DO48677
58 years, male, NA, stage:3, alive, 1140 days
542.6
DO23511
83 years, female, NA, stage:3, dead, 180 days
533.2
DO23546
63 years, male, NA, stage:2, alive, 1050 days
533.0
DO48721
58 years, female, NA, stage:1, alive, 900 days
528.8
DO23509
60 years, male, NA, stage:3, dead, 780 days
528.5
DO45105
61 years, male, NA, stage:1, alive, 1680 days
526.7
DO48704
68 years, female, NA, stage:3, alive, 750 days
526.5
DO23513
76 years, male, NA, stage:3, alive, 1200 days
525.3
DO45167
67 years, male, NA, stage:2, dead, 1440 days
523.6
DO45107
63 years, female, NA, stage:2, alive, 1710 days
510.5
DO48716
71 years, male, NA, stage:2, alive, 720 days
509.3
DO23531
78 years, female, NA, stage:3, alive, 900 days
506.5
DO45097
69 years, male, NA, stage:3, alive, 1620 days
494.5
DO48672
81 years, male, NA, stage:2, alive, 450 days
494.4
DO45195
62 years, male, NA, stage:1, alive, 390 days
493.4
DO45241
49 years, male, NA, stage:1, alive, 1080 days
488.9
DO45229
74 years, male, NA, stage:1, alive, 990 days
488.1
DO23539
77 years, male, NA, stage:1, alive, 1110 days
487.6
DO45091
56 years, male, NA, stage:2, dead, 1320 days
476.4
DO50816
63 years, male, NA, stage:2, alive, 390 days
464.7
DO50845
72 years, male, NA, stage:3, alive, 210 days
463.9
DO45123
78 years, female, NA, stage:2, dead, 570 days
463.6
DO45125
58 years, male, NA, stage:3, alive, 1680 days
459.3
DO23534
60 years, male, NA, stage:2, alive, 840 days
457.4
DO45253
50 years, male, NA, stage:2, alive, 870 days
453.7
DO48746
76 years, male, NA, stage:3, alive, 570 days
452.9
DO50807
67 years, male, NA, stage:1, alive, 540 days
448.9
DO50850
74 years, male, NA, stage:3, alive, 720 days
446.2
DO45113
58 years, male, NA, stage:3, alive, 1560 days
444.3
DO23538
67 years, male, NA, stage:2, alive, 450 days
441.1
DO45117
73 years, female, NA, stage:2, dead, 1110 days
433.2
DO50789
73 years, female, NA, stage:2, alive, 570 days
424.7
DO45149
70 years, female, NA, stage:2, alive, 1260 days
414.4
DO227643
79 years, male, NA, stage:2, alive, 1260 days
408.8
DO45197
51 years, male, NA, stage:2, alive, 1170 days
401.5
DO48706
72 years, male, NA, stage:2, alive, 870 days
394.0
DO23512
60 years, male, NA, stage:1, alive, 1260 days
389.0
DO23533
61 years, male, NA, stage:2, alive, 900 days
378.4
DO48727
81 years, female, NA, stage:2, dead, 390 days
377.4
DO45133
64 years, male, NA, stage:3, dead, 660 days
362.7
DO23532
71 years, female, NA, stage:1, alive, 960 days
361.5
DO45169
74 years, male, NA, stage:3, alive, 1350 days
353.3
DO50814
83 years, male, NA, stage:3, alive, 420 days
351.7
DO23517
62 years, male, NA, stage:2, alive, 1200 days
347.7
DO45163
76 years, male, NA, stage:2, alive, 960 days
319.2
DO45111
74 years, male, NA, stage:2, alive, 1590 days
313.9
DO45175
74 years, male, NA, stage:2, alive, 1140 days
302.6
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
815
Tumor
0.6
131
Tumor
0.5
713
Tumor
0.4
917
Tumor
0.4
283
Tumor
0.4
1031
Tumor
0.4
516
Normal
0.4
778
Normal
0.4
1043
Tumor
0.4
447
Tumor
0.3
227
Tumor
0.3
363
Tumor
0.3
492
Normal
0.3
728
Normal
0.3
738
Normal
0.3
966
Normal
0.3
545
Tumor
0.3
211
Tumor
0.3
518
Normal
0.3
478
Normal
0.3
327
Tumor
0.3
416
Normal
0.3
472
Normal
0.3
482
Normal
0.3
952
Normal
0.3
982
Normal
0.3
824
Normal
0.2
1016
Normal
0.2
212
Normal
0.2
425
Tumor
0.2
413
Tumor
0.2
858
Normal
0.2
524
Normal
0.2
498
Normal
0.2
188
Normal
0.2
434
Normal
0.2
714
Normal
0.2
528
Normal
0.2
981
Tumor
0.2
755
Tumor
0.2
814
Normal
0.2
553
Tumor
0.2
538
Normal
0.2
916
Normal
0.2
1042
Normal
0.2
723
Tumor
0.2
756
Normal
0.2
851
Tumor
0.2
698
Normal
0.2
978
Normal
0.2
956
Normal
0.2
696
Normal
0.2
223
Tumor
0.2
926
Normal
0.2
1028
Normal
0.2
1026
Normal
0.2
412
Normal
0.2
546
Normal
0.2
874
Normal
0.2
488
Normal
0.2
484
Normal
0.2
1022
Normal
0.2
722
Normal
0.2
866
Normal
0.2
514
Normal
0.2
975
Tumor
0.2
746
Normal
0.2
924
Normal
0.2
742
Normal
0.2
364
Normal
0.2
285
Tumor
0.2
481
Tumor
0.2
272
Normal
0.2
432
Normal
0.2
462
Normal
0.2
818
Normal
0.2
955
Tumor
0.1
976
Normal
0.1
943
Tumor
0.1
816
Normal
0.1
852
Normal
0.1
262
Normal
0.1
865
Tumor
0.1
536
Normal
0.1
268
Normal
0.1
813
Tumor
0.1
724
Normal
0.1
362
Normal
0.1
918
Normal
0.1
428
Normal
0.1
914
Normal
0.1
862
Normal
0.1
436
Normal
0.1
284
Normal
0.1
224
Normal
0.1
474
Normal
0.1
721
Tumor
0.1
877
Tumor
0.1
126
Normal
0.1
162
Normal
0.1
661
Tumor
0.1
964
Normal
0.1
386
Normal
0.1
228
Normal
0.1
786
Normal
0.1
864
Normal
0.1
356
Normal
0.1
366
Normal
0.1
686
Normal
0.1
464
Normal
0.1
515
Tumor
0.1
744
Normal
0.1
1044
Normal
0.1
878
Normal
0.1
424
Normal
0.1
286
Normal
0.1
882
Normal
0.1
111
Normal
0.1
298
Normal
0.1
142
Normal
0.1
984
Normal
0.1
695
Tumor
0.1
968
Normal
0.1
146
Normal
0.1
311
Tumor
0.1
196
Normal
0.1
716
Normal
0.1
628
Normal
0.1
414
Normal
0.1
526
Normal
0.1
868
Normal
0.1
328
Normal
0.1
125
Tumor
0.1
312
Normal
0.1
467
Tumor
0.1
394
Normal
0.1
873
Tumor
0.1
954
Normal
0.1
456
Normal
0.1
662
Normal
0.0
145
Tumor
0.0
938
Normal
0.0
136
Normal
0.0
444
Normal
0.0
494
Normal
0.0
491
Tumor
0.0
534
Normal
0.0
415
Tumor
0.0
727
Tumor
0.0
138
Normal
0.0
392
Normal
0.0
455
Tumor
0.0
1032
Normal
0.0
664
Normal
0.0
222
Normal
0.0
1014
Normal
0.0
958
Normal
0.0
558
Normal
0.0
422
Normal
0.0
368
Normal
0.0
466
Normal
0.0
376
Normal
0.0
448
Normal
0.0
128
Normal
0.0
148
Normal
0.0
1046
Normal
0.0
922
Normal
0.0
554
Normal
0.0
358
Normal
0.0
497
Tumor
0.0
218
Normal
0.0
258
Normal
0.0
944
Normal
0.0
278
Normal
0.0
446
Normal
0.0
737
Tumor
0.0
957
Tumor
0.0
648
Normal
0.0
217
Tumor
0.0
172
Normal
0.0
431
Tumor
0.0
221
Tumor
0.0
352
Normal
0.0
963
Tumor
0.0
715
Tumor
0.0
881
Tumor
0.0
192
Normal
0.0
384
Normal
0.0
574
Normal
0.0
426
Normal
0.0
186
Normal
0.0
132
Normal
0.0
618
Normal
0.0
517
Tumor
0.0
564
Normal
0.0
214
Normal
0.0
344
Normal
0.0
314
Normal
0.0
396
Normal
-0.1
114
Normal
-0.1
195
Tumor
-0.1
636
Normal
-0.1
642
Normal
-0.1
388
Normal
-0.1
385
Tumor
-0.1
523
Tumor
-0.1
983
Tumor
-0.1
823
Tumor
-0.1
332
Normal
-0.1
921
Tumor
-0.1
342
Normal
-0.1
937
Tumor
-0.1
884
Normal
-0.1
857
Tumor
-0.1
915
Tumor
-0.1
616
Normal
-0.1
666
Normal
-0.1
213
Tumor
-0.1
697
Tumor
-0.1
468
Normal
-0.1
232
Normal
-0.1
185
Tumor
-0.1
461
Tumor
-0.1
135
Tumor
-0.1
537
Tumor
-0.1
421
Tumor
-0.1
572
Normal
-0.2
617
Tumor
-0.2
525
Tumor
-0.2
124
Normal
-0.2
563
Tumor
-0.2
452
Normal
-0.2
527
Tumor
-0.2
297
Tumor
-0.2
535
Tumor
-0.2
493
Tumor
-0.2
383
Tumor
-0.2
343
Tumor
-0.2
817
Tumor
-0.2
923
Tumor
-0.2
573
Tumor
-0.2
463
Tumor
-0.2
354
Normal
-0.2
672
Normal
-0.2
355
Tumor
-0.2
861
Tumor
-0.2
113
Tumor
-0.2
471
Tumor
-0.2
568
Normal
-0.2
141
Tumor
-0.2
375
Tumor
-0.2
261
Tumor
-0.2
191
Tumor
-0.2
1015
Tumor
-0.2
912
Normal
-0.2
925
Tumor
-0.2
187
Tumor
-0.2
1025
Tumor
-0.2
883
Tumor
-0.2
641
Tumor
-0.3
777
Tumor
-0.3
557
Tumor
-0.3
483
Tumor
-0.3
277
Tumor
-0.3
671
Tumor
-0.3
1021
Tumor
-0.3
785
Tumor
-0.3
411
Tumor
-0.3
1013
Tumor
-0.3
365
Tumor
-0.3
137
Tumor
-0.3
951
Tumor
-0.3
867
Tumor
-0.3
331
Tumor
-0.3
913
Tumor
-0.3
477
Tumor
-0.3
745
Tumor
-0.3
1027
Tumor
-0.4
1045
Tumor
-0.4
451
Tumor
-0.4
391
Tumor
-0.4
513
Tumor
-0.4
367
Tumor
-0.4
147
Tumor
-0.4
351
Tumor
-0.4
635
Tumor
-0.4
685
Tumor
-0.4
271
Tumor
-0.4
353
Tumor
-0.4
433
Tumor
-0.4
953
Tumor
-0.4
567
Tumor
-0.4
161
Tumor
-0.4
977
Tumor
-0.4
663
Tumor
-0.4
743
Tumor
-0.5
112
Tumor
-0.5
395
Tumor
-0.5
387
Tumor
-0.5
665
Tumor
-0.5
967
Tumor
-0.5
423
Tumor
-0.5
361
Tumor
-0.5
465
Tumor
-0.5
911
Tumor
-0.5
443
Tumor
-0.5
741
Tumor
-0.5
341
Tumor
-0.5
435
Tumor
-0.5
571
Tumor
-0.5
487
Tumor
-0.6
863
Tumor
-0.6
257
Tumor
-0.6
427
Tumor
-0.6
313
Tumor
-0.6
615
Tumor
-0.6
127
Tumor
-0.6
393
Tumor
-0.6
647
Tumor
-0.6
965
Tumor
-0.6
627
Tumor
-0.7
1041
Tumor
-0.7
445
Tumor
-0.7
171
Tumor
-0.8
123
Tumor
-0.8
533
Tumor
-0.8
473
Tumor
-0.8
267
Tumor
-0.8
357
Tumor
-0.9
231
Tumor
-0.9
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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.