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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.
AKR1C1 is validated prognostic, high expression is unfavorable in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
553.4
Number of samples
362
Samples
Sample
Description
TPM
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
7643.8
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
3603.5
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
2808.7
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
2795.0
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
2630.7
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
2567.9
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
2465.2
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
2329.4
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
2286.1
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
1996.5
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
1994.3
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
1855.7
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
1831.4
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
1787.0
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
1770.2
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
1767.6
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
1667.0
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
1621.2
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
1616.6
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
1600.1
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
1537.8
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
1495.8
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
1489.7
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
1483.3
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1478.8
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
1443.8
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1393.6
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
1376.9
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
1371.3
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
1349.8
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
1340.2
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
1339.7
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1334.3
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
1318.8
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
1311.0
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
1296.7
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
1286.4
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
1263.6
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
1251.0
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
1249.9
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
1248.1
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
1230.3
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
1222.9
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
1201.9
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1154.3
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
1149.7
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
1142.5
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
1140.2
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
1135.4
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
1124.1
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1110.1
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
1100.9
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
1092.1
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
1075.8
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
1060.2
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
1035.2
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
1027.8
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
1021.4
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
1017.6
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
1008.1
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
1000.1
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
993.1
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
984.5
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
980.5
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
973.2
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
965.9
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
955.4
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
939.3
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
938.3
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
936.8
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
935.2
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
914.4
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
879.7
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
866.5
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
840.1
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
838.8
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
830.3
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
824.4
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
817.2
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
807.4
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
799.9
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
794.6
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
787.1
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
778.1
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
776.8
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
765.1
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
724.9
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
719.7
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
716.0
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
714.2
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
713.5
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
711.2
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
704.3
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
698.4
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
687.2
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
681.3
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
674.2
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
671.0
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
670.0
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
656.9
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
655.1
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
652.5
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
647.3
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
646.6
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
641.1
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
634.4
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
632.6
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
629.7
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
627.8
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
622.2
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
613.9
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
605.6
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
599.6
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
599.1
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
592.6
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
581.2
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
579.1
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
575.8
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
572.1
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
566.8
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
562.4
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
560.3
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
558.7
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
554.9
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
552.3
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
548.0
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
541.8
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
538.3
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
533.7
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
531.2
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
527.8
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
524.2
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
513.0
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
506.7
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
506.5
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
500.3
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
499.5
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
498.7
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
496.8
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
494.2
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
492.4
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
486.2
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
484.8
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
475.3
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
475.3
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
475.2
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
474.1
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
466.6
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
465.7
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
464.3
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
463.8
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
462.6
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
460.8
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
457.8
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
456.5
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
440.3
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
437.4
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
430.2
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
429.2
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
423.8
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
421.8
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
414.7
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
409.6
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
405.4
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
403.7
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
401.7
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
398.7
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
394.6
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
376.1
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
373.7
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
372.9
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
372.7
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
372.6
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
370.8
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
368.6
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
366.9
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
365.0
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
362.9
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
360.6
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
359.1
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
358.7
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
354.1
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
354.0
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
350.3
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
347.5
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
342.4
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
335.6
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
332.2
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
331.0
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
330.8
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
322.9
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
322.6
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
321.7
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
319.3
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
316.6
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
316.0
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
314.4
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
313.1
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
310.5
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
308.7
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
308.4
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
306.5
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
304.4
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
304.3
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
303.3
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
299.0
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
298.4
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
297.8
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
295.3
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
292.5
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
289.0
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
283.7
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
280.5
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
276.5
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
276.3
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
274.8
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
273.2
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
273.2
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
271.7
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
269.1
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
264.5
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
264.5
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
257.7
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
255.5
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
254.1
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
253.4
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
250.4
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
250.0
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
247.7
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
244.7
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
237.8
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
237.3
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
235.4
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
234.6
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
233.1
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
232.9
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
232.8
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
230.8
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
229.9
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
226.7
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
225.1
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
224.1
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
223.8
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
221.6
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
220.4
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
218.8
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
216.3
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
212.7
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
210.5
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
203.1
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
200.7
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
199.7
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
198.7
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
198.7
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
198.3
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
197.3
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
195.9
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
192.5
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
192.4
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
186.6
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
181.8
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
179.7
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
176.5
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
173.0
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
171.9
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
164.5
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
164.3
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
164.0
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
163.9
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
163.3
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
161.8
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
161.1
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
155.7
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
151.6
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
143.1
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
142.7
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
141.7
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
137.0
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
136.8
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
136.4
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
135.0
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
132.5
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
131.6
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
129.7
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
126.9
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
123.9
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
122.6
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
121.4
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
118.9
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
116.9
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
109.5
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
103.6
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
102.7
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
101.8
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
101.5
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
99.6
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
96.1
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
94.9
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
93.7
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
90.6
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
89.9
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
89.3
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
85.4
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
85.4
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
85.4
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
83.3
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
82.7
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
81.0
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
80.3
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
78.7
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
77.8
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
75.2
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
74.4
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
73.0
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
73.0
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
72.8
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
70.9
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
70.3
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
67.3
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
60.5
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
59.8
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
59.6
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
55.1
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
54.8
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
54.3
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
51.2
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
50.0
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
47.8
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
47.7
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
46.4
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
45.7
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
45.3
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
43.2
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
41.1
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
40.5
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
38.7
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
34.6
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
33.1
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
32.3
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
28.9
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
27.6
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
27.2
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
25.1
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
24.9
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
24.2
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
23.4
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
22.9
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
22.5
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
18.8
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
15.6
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
15.0
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
14.2
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
11.3
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
10.8
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
10.5
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
10.0
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
9.4
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
7.3
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
5.3
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
3.8
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
0.6
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 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.
AKR1C1 is validated prognostic, high expression is unfavorable in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
409.9
Number of samples
231
Samples
Sample
Description
TPM
DO48723
73 years, male, NA, stage:1, alive, 600 days
2518.2
DO45221
75 years, female, NA, stage:4, dead, 390 days
2198.6
DO45267
73 years, male, NA, stage:3, dead, 570 days
1970.4
DO45175
74 years, male, NA, stage:2, alive, 1140 days
1923.3
DO23521
63 years, male, NA, stage:3, alive, 1110 days
1775.3
DO48757
68 years, female, NA, stage:3, alive, 480 days
1734.3
DO48695
77 years, male, NA, stage:2, alive, 720 days
1708.0
DO45093
71 years, male, NA, stage:2, dead, 720 days
1656.7
DO23519
65 years, male, NA, stage:3, alive, 630 days
1589.4
DO45123
78 years, female, NA, stage:2, dead, 570 days
1586.2
DO23542
66 years, male, NA, stage:3, alive, 960 days
1570.2
DO50802
49 years, male, NA, stage:2, alive, 930 days
1541.2
DO48672
81 years, male, NA, stage:2, alive, 450 days
1436.2
DO23509
60 years, male, NA, stage:3, dead, 780 days
1428.8
DO23508
79 years, female, NA, stage:2, alive, 390 days
1169.9
DO45117
73 years, female, NA, stage:2, dead, 1110 days
1124.2
DO45145
78 years, male, NA, stage:3, dead, 60 days
1117.4
DO48719
80 years, male, NA, stage:2, alive, 690 days
1034.3
DO48682
72 years, female, NA, stage:3, dead, 120 days
1018.5
DO45163
76 years, male, NA, stage:2, alive, 960 days
1015.4
DO23545
67 years, male, NA, stage:2, dead, 570 days
1001.7
DO50778
60 years, male, NA, stage:4, alive, 630 days
985.1
DO50808
68 years, male, NA, stage:2, alive, 570 days
958.8
DO45171
56 years, male, NA, stage:3, alive, 600 days
957.0
DO48727
81 years, female, NA, stage:2, dead, 390 days
919.4
DO45205
67 years, female, NA, stage:2, dead, 90 days
917.5
DO50785
37 years, male, NA, stage:4, dead, 90 days
913.9
DO45269
59 years, male, NA, stage:3, alive, 750 days
909.6
DO50804
81 years, male, NA, stage:2, alive, 720 days
909.5
DO50798
77 years, male, NA, stage:3, dead, 30 days
893.0
DO45129
61 years, male, NA, stage:3, alive, 1470 days
852.5
DO45281
83 years, male, NA, stage:4, alive, 750 days
827.5
DO50776
75 years, male, NA, stage:1, alive, 690 days
825.2
DO45235
68 years, female, NA, stage:1, alive, 900 days
822.4
DO50822
66 years, male, NA, stage:2, alive, 510 days
815.9
DO23533
61 years, male, NA, stage:2, alive, 900 days
812.4
DO50805
72 years, male, NA, stage:2, alive, 690 days
778.1
DO48716
71 years, male, NA, stage:2, alive, 720 days
770.9
DO23529
72 years, male, NA, stage:4, alive, 930 days
766.2
DO45225
69 years, male, NA, stage:1, alive, 1050 days
757.5
DO45119
74 years, male, NA, stage:3, dead, 510 days
738.6
DO50839
47 years, female, NA, stage:3, alive, 330 days
688.4
DO50791
79 years, female, NA, stage:1, dead, 480 days
687.2
DO48732
73 years, male, NA, stage:3, alive, 630 days
681.6
DO23540
73 years, male, NA, stage:1, alive, 750 days
672.3
DO45161
74 years, male, NA, stage:2, dead, 540 days
670.9
DO45092
62 years, male, NA, stage:4, dead, 1200 days
665.2
DO50799
66 years, female, NA, stage:2, alive, 540 days
663.8
DO45133
64 years, male, NA, stage:3, dead, 660 days
663.7
DO50825
70 years, male, NA, stage:2, alive, 390 days
662.5
DO48741
64 years, male, NA, stage:3, alive, 240 days
661.3
DO23525
71 years, male, NA, stage:4, alive, 1050 days
655.7
DO48742
76 years, male, NA, stage:2, alive, 600 days
650.7
DO45143
69 years, male, NA, stage:3, alive, 1290 days
649.2
DO48704
68 years, female, NA, stage:3, alive, 750 days
630.7
DO50859
77 years, male, NA, stage:2, alive, 180 days
626.0
DO48751
68 years, male, NA, stage:2, dead, 480 days
597.4
DO45135
77 years, male, NA, stage:1, alive, 1410 days
592.2
DO48679
72 years, male, NA, stage:2, alive, 1200 days
581.8
DO48759
73 years, male, NA, stage:3, alive, 720 days
577.9
DO45227
57 years, female, NA, stage:2, alive, 1020 days
571.2
DO50806
70 years, male, NA, stage:4, alive, 540 days
566.4
DO23511
83 years, female, NA, stage:3, dead, 180 days
558.3
DO45283
60 years, male, NA, stage:3, alive, 510 days
555.2
DO45169
74 years, male, NA, stage:3, alive, 1350 days
548.8
DO50809
56 years, male, NA, stage:3, dead, 720 days
537.1
DO45113
58 years, male, NA, stage:3, alive, 1560 days
517.6
DO23539
77 years, male, NA, stage:1, alive, 1110 days
496.4
DO45219
78 years, male, NA, stage:2, alive, 1080 days
491.6
DO45255
81 years, male, NA, stage:3, alive, 720 days
486.9
DO50783
62 years, male, NA, stage:3, alive, 480 days
482.3
DO48721
58 years, female, NA, stage:1, alive, 900 days
472.9
DO23541
65 years, male, NA, stage:2, alive, 930 days
453.1
DO23510
80 years, female, NA, stage:2, alive, 870 days
451.3
DO50818
65 years, male, NA, stage:2, alive, 510 days
451.1
DO45149
70 years, female, NA, stage:2, alive, 1260 days
442.7
DO50814
83 years, male, NA, stage:3, alive, 420 days
437.9
DO23516
69 years, male, NA, stage:3, dead, 20 days
436.3
DO48761
55 years, male, NA, stage:2, alive, 870 days
434.2
DO48715
58 years, female, NA, stage:2, dead, 690 days
433.2
DO45165
75 years, male, NA, stage:2, alive, 690 days
432.9
DO48730
73 years, female, NA, stage:2, alive, 630 days
416.9
DO45099
46 years, male, NA, stage:3, alive, 1590 days
416.3
DO50774
68 years, female, NA, stage:2, alive, 720 days
407.9
DO23536
56 years, male, NA, stage:2, alive, 930 days
403.7
DO45173
63 years, male, NA, stage:3, alive, 1170 days
403.6
DO45115
81 years, male, NA, stage:2, alive, 840 days
397.8
DO50829
78 years, male, NA, stage:3, alive, 570 days
387.5
DO45199
86 years, female, NA, stage:2, alive, 1350 days
383.9
DO45253
50 years, male, NA, stage:2, alive, 870 days
368.3
DO45109
63 years, male, NA, stage:2, alive, 1590 days
363.1
DO45157
62 years, male, NA, stage:2, alive, 1980 days
348.3
DO45097
69 years, male, NA, stage:3, alive, 1620 days
347.1
DO48700
78 years, female, NA, stage:2, alive, 810 days
347.1
DO45137
38 years, male, NA, stage:1, alive, 1320 days
343.1
DO50793
76 years, male, NA, stage:4, alive, 540 days
342.1
DO50850
74 years, male, NA, stage:3, alive, 720 days
337.6
DO48697
64 years, female, NA, stage:2, dead, 810 days
333.4
DO45094
76 years, male, NA, stage:3, alive, 1650 days
332.2
DO45229
74 years, male, NA, stage:1, alive, 990 days
329.2
DO50787
63 years, male, NA, stage:3, alive, 480 days
324.9
DO45095
66 years, male, NA, stage:2, alive, 1620 days
315.7
DO50803
62 years, female, NA, stage:1, alive, 540 days
311.1
DO50816
63 years, male, NA, stage:2, alive, 390 days
308.1
DO48725
66 years, male, NA, stage:1, alive, 780 days
298.2
DO48677
58 years, male, NA, stage:3, alive, 1140 days
274.2
DO45096
69 years, male, NA, stage:2, dead, 1290 days
270.5
DO45139
63 years, male, NA, stage:3, alive, 1320 days
267.2
DO23517
62 years, male, NA, stage:2, alive, 1200 days
262.2
DO45249
57 years, male, NA, stage:1, alive, 630 days
260.6
DO45179
78 years, female, NA, stage:2, alive, 600 days
245.7
DO45111
74 years, male, NA, stage:2, alive, 1590 days
240.6
DO45215
65 years, male, NA, stage:2, alive, 1170 days
231.2
DO23514
64 years, male, NA, stage:2, alive, 1290 days
223.8
DO45245
75 years, female, NA, stage:2, dead, 240 days
220.3
DO227801
77 years, female, NA, stage:1, alive, 660 days
213.5
DO23550
69 years, male, NA, stage:1, alive, 990 days
212.0
DO45223
67 years, male, NA, stage:4, alive, 1020 days
211.8
DO45303
62 years, female, NA, stage:3, alive, 990 days
211.1
DO45257
46 years, male, NA, stage:3, alive, 810 days
209.4
DO48674
80 years, male, NA, stage:2, alive, 1260 days
208.0
DO45197
51 years, male, NA, stage:2, alive, 1170 days
207.2
DO48743
69 years, female, NA, stage:2, alive, 570 days
206.5
DO45201
49 years, male, NA, stage:1, alive, 900 days
199.9
DO23546
63 years, male, NA, stage:2, alive, 1050 days
196.2
DO45233
83 years, male, NA, stage:3, alive, 900 days
194.7
DO48728
74 years, female, NA, stage:2, alive, 150 days
192.1
DO23518
67 years, male, NA, stage:2, alive, 1320 days
189.8
DO45207
68 years, male, NA, stage:1, alive, 1050 days
189.8
DO48706
72 years, male, NA, stage:2, alive, 870 days
189.0
DO23526
66 years, male, NA, stage:3, alive, 1050 days
188.0
DO45203
71 years, female, NA, stage:2, alive, 1170 days
177.6
DO45141
73 years, male, NA, stage:2, alive, 1320 days
177.2
DO45263
67 years, male, NA, stage:3, dead, 270 days
176.2
DO23535
67 years, male, NA, stage:1, alive, 960 days
171.2
DO23544
67 years, male, NA, stage:2, alive, 960 days
170.4
DO45155
69 years, male, NA, stage:2, alive, 2160 days
169.2
DO227643
79 years, male, NA, stage:2, alive, 1260 days
168.6
DO23512
60 years, male, NA, stage:1, alive, 1260 days
166.8
DO48701
78 years, male, NA, stage:2, alive, 780 days
163.3
DO50800
74 years, male, NA, stage:2, alive, 510 days
161.0
DO45091
56 years, male, NA, stage:2, dead, 1320 days
160.9
DO45177
81 years, female, NA, stage:3, alive, 1260 days
160.2
DO45261
74 years, male, NA, stage:3, alive, 990 days
159.6
DO45273
62 years, male, NA, stage:2, alive, 480 days
158.0
DO50807
67 years, male, NA, stage:1, alive, 540 days
157.8
DO45265
73 years, male, NA, stage:3, alive, 1020 days
156.4
DO45101
63 years, male, NA, stage:2, alive, 1680 days
156.2
DO45159
65 years, male, NA, stage:3, alive, 1470 days
155.8
DO23543
63 years, male, NA, stage:2, alive, 1020 days
155.7
DO50813
56 years, male, NA, stage:2, alive, 420 days
154.9
DO23548
78 years, female, NA, stage:1, alive, 840 days
151.0
DO50857
72 years, male, NA, stage:2, alive, 210 days
149.1
DO23549
74 years, male, NA, stage:3, alive, 990 days
148.0
DO48760
70 years, female, NA, stage:2, alive, 690 days
143.4
DO45181
84 years, female, NA, stage:2, alive, 1200 days
140.5
DO45105
61 years, male, NA, stage:1, alive, 1680 days
137.5
DO50845
72 years, male, NA, stage:3, alive, 210 days
136.3
DO45121
61 years, male, NA, stage:3, alive, 1530 days
130.9
DO45279
67 years, male, NA, stage:3, alive, 1290 days
129.9
DO23551
73 years, male, NA, stage:3, dead, 150 days
128.9
DO23531
78 years, female, NA, stage:3, alive, 900 days
127.4
DO48736
76 years, female, NA, stage:1, alive, 600 days
126.9
DO48720
62 years, female, NA, stage:2, alive, 570 days
125.2
DO50811
62 years, male, NA, stage:1, alive, 450 days
123.7
DO50817
75 years, male, NA, stage:2, alive, 390 days
121.9
DO45167
67 years, male, NA, stage:2, dead, 1440 days
121.3
DO45213
58 years, male, NA, stage:1, alive, 1200 days
118.9
DO48746
76 years, male, NA, stage:3, alive, 570 days
118.5
DO48737
52 years, male, NA, stage:1, alive, 720 days
112.9
DO23547
74 years, male, NA, stage:1, alive, 1020 days
107.7
DO23513
76 years, male, NA, stage:3, alive, 1200 days
107.4
DO48712
50 years, male, NA, stage:2, alive, 810 days
103.8
DO23538
67 years, male, NA, stage:2, alive, 450 days
103.4
DO45289
78 years, female, NA, stage:3, alive, 360 days
101.1
DO23527
72 years, male, NA, stage:1, alive, 1050 days
98.9
DO45195
62 years, male, NA, stage:1, alive, 390 days
97.3
DO23530
53 years, male, NA, stage:4, dead, 180 days
95.7
DO50789
73 years, female, NA, stage:2, alive, 570 days
94.3
DO23534
60 years, male, NA, stage:2, alive, 840 days
92.7
DO50820
77 years, female, NA, stage:3, alive, 510 days
87.1
DO45185
89 years, male, NA, stage:2, alive, 600 days
86.3
DO45193
68 years, female, NA, stage:4, dead, 120 days
82.3
DO50840
49 years, male, NA, stage:2, alive, 330 days
81.3
DO50819
72 years, female, NA, stage:2, alive, 510 days
78.8
DO45237
58 years, male, NA, stage:2, alive, 900 days
71.6
DO45217
69 years, female, NA, stage:3, dead, 270 days
71.1
DO45243
74 years, female, NA, stage:3, alive, 930 days
70.3
DO48733
72 years, male, NA, stage:2, alive, 600 days
69.2
DO45231
84 years, male, NA, stage:2, alive, 930 days
58.8
DO45191
61 years, female, NA, stage:2, alive, 1200 days
54.4
DO45103
47 years, male, NA, stage:3, alive, 450 days
54.3
DO45247
31 years, female, NA, stage:2, alive, 210 days
53.8
DO48693
71 years, male, NA, stage:2, alive, 900 days
52.1
DO45211
76 years, male, NA, stage:3, alive, 240 days
50.6
DO45153
77 years, female, NA, stage:2, alive, 1380 days
50.3
DO23528
45 years, female, NA, stage:2, alive, 1020 days
44.4
DO23532
71 years, female, NA, stage:1, alive, 960 days
44.0
DO48717
54 years, male, NA, stage:4, dead, 180 days
42.8
DO45131
53 years, male, NA, stage:4, dead, 360 days
42.0
DO45183
72 years, female, NA, stage:2, dead, 570 days
38.5
DO23537
79 years, male, NA, stage:2, dead, 900 days
37.8
DO45239
42 years, male, NA, stage:2, alive, 870 days
37.0
DO45187
32 years, female, NA, stage:1, alive, 1260 days
35.8
DO45251
57 years, female, NA, stage:2, alive, 900 days
34.3
DO45125
58 years, male, NA, stage:3, alive, 1680 days
33.6
DO48681
57 years, male, NA, stage:2, alive, 900 days
32.1
DO50815
62 years, male, NA, stage:3, alive, 150 days
31.8
DO45107
63 years, female, NA, stage:2, alive, 1710 days
31.6
DO45241
49 years, male, NA, stage:1, alive, 1080 days
25.6
DO45305
66 years, male, NA, stage:4, alive, 300 days
25.6
DO45277
64 years, male, NA, stage:3, alive, 600 days
23.1
DO45127
73 years, male, NA, stage:3, dead, 420 days
21.4
DO45209
70 years, male, NA, stage:4, alive, 1350 days
20.1
DO50855
47 years, male, NA, stage:2, alive, 570 days
20.0
DO48747
62 years, male, NA, stage:3, alive, 540 days
19.4
DO50844
75 years, male, NA, stage:4, alive, 300 days
18.9
DO45307
54 years, female, NA, stage:4, dead, 240 days
18.1
DO50832
73 years, male, NA, stage:3, alive, 90 days
16.6
DO45297
61 years, female, NA, stage:4, dead, 1260 days
15.4
DO23524
71 years, female, NA, stage:2, alive, 1050 days
15.2
DO23515
71 years, male, NA, stage:2, alive, 1230 days
13.8
DO45301
56 years, male, NA, stage:2, dead, 1440 days
9.9
DO45285
59 years, male, NA, stage:3, alive, 480 days
9.6
DO45189
85 years, female, NA, stage:2, alive, 1200 days
9.0
DO45275
65 years, male, NA, stage:3, dead, 10 days
8.3
DO45287
74 years, male, NA, stage:1, alive, 390 days
3.9
DO23552
80 years, female, NA, stage:1, alive, 810 days
3.2
DO45259
65 years, male, NA, stage:3, alive, 330 days
1.8
DO23523
52 years, male, NA, stage:3, alive, 1080 days
1.2
DO45299
70 years, female, NA, stage:1, alive, 1440 days
0.6
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
663
Tumor
1.5
741
Tumor
1.4
537
Tumor
1.2
925
Tumor
1.2
267
Tumor
1.1
685
Tumor
1.1
1041
Tumor
1.0
113
Tumor
1.0
913
Tumor
0.9
883
Tumor
0.9
525
Tumor
0.9
617
Tumor
0.9
911
Tumor
0.8
571
Tumor
0.8
161
Tumor
0.8
867
Tumor
0.7
423
Tumor
0.7
483
Tumor
0.6
353
Tumor
0.6
477
Tumor
0.6
533
Tumor
0.5
465
Tumor
0.5
212
Normal
0.5
128
Normal
0.5
132
Normal
0.5
367
Tumor
0.5
196
Normal
0.4
127
Tumor
0.4
415
Tumor
0.4
865
Tumor
0.4
357
Tumor
0.4
413
Tumor
0.4
436
Normal
0.4
435
Tumor
0.4
742
Normal
0.4
976
Normal
0.4
222
Normal
0.4
746
Normal
0.4
137
Tumor
0.4
873
Tumor
0.4
272
Normal
0.3
424
Normal
0.3
482
Normal
0.3
1026
Normal
0.3
112
Tumor
0.3
141
Tumor
0.3
185
Tumor
0.3
715
Tumor
0.3
258
Normal
0.3
428
Normal
0.2
914
Normal
0.2
484
Normal
0.2
466
Normal
0.2
824
Normal
0.2
422
Normal
0.2
136
Normal
0.2
278
Normal
0.2
356
Normal
0.2
314
Normal
0.2
432
Normal
0.2
648
Normal
0.2
755
Tumor
0.2
342
Normal
0.2
1013
Tumor
0.2
162
Normal
0.2
172
Normal
0.2
515
Tumor
0.2
366
Normal
0.1
464
Normal
0.1
546
Normal
0.1
878
Normal
0.1
298
Normal
0.1
145
Tumor
0.1
977
Tumor
0.1
312
Normal
0.1
387
Tumor
0.1
362
Normal
0.1
148
Normal
0.1
114
Normal
0.1
462
Normal
0.1
723
Tumor
0.1
567
Tumor
0.1
1021
Tumor
0.1
493
Tumor
0.1
513
Tumor
0.1
391
Tumor
0.1
918
Normal
0.1
955
Tumor
0.1
923
Tumor
0.1
884
Normal
0.1
616
Normal
0.1
664
Normal
0.1
461
Tumor
0.1
474
Normal
0.1
228
Normal
0.1
1032
Normal
0.1
426
Normal
0.1
862
Normal
0.1
1022
Normal
0.0
414
Normal
0.0
744
Normal
0.0
698
Normal
0.0
186
Normal
0.0
864
Normal
0.0
472
Normal
0.0
394
Normal
0.0
866
Normal
0.0
427
Tumor
0.0
327
Tumor
0.0
981
Tumor
0.0
915
Tumor
0.0
376
Normal
0.0
568
Normal
0.0
978
Normal
0.0
618
Normal
0.0
431
Tumor
0.0
695
Tumor
0.0
451
Tumor
0.0
262
Normal
0.0
396
Normal
0.0
728
Normal
0.0
142
Normal
0.0
388
Normal
0.0
494
Normal
0.0
944
Normal
0.0
358
Normal
0.0
361
Tumor
0.0
488
Normal
0.0
421
Tumor
0.0
951
Tumor
0.0
187
Tumor
0.0
858
Normal
0.0
446
Normal
0.0
1016
Normal
0.0
328
Normal
0.0
1027
Tumor
0.0
874
Normal
0.0
354
Normal
0.0
882
Normal
-0.1
1046
Normal
-0.1
615
Tumor
-0.1
938
Normal
-0.1
395
Tumor
-0.1
481
Tumor
-0.1
714
Normal
-0.1
857
Tumor
-0.1
564
Normal
-0.1
412
Normal
-0.1
257
Tumor
-0.1
261
Tumor
-0.1
738
Normal
-0.1
786
Normal
-0.1
313
Tumor
-0.1
563
Tumor
-0.1
956
Normal
-0.1
341
Tumor
-0.1
662
Normal
-0.1
443
Tumor
-0.1
534
Normal
-0.1
722
Normal
-0.1
416
Normal
-0.1
982
Normal
-0.1
1014
Normal
-0.1
1042
Normal
-0.1
572
Normal
-0.1
696
Normal
-0.1
445
Tumor
-0.1
535
Tumor
-0.1
926
Normal
-0.1
963
Tumor
-0.1
364
Normal
-0.1
964
Normal
-0.1
514
Normal
-0.1
1028
Normal
-0.1
232
Normal
-0.1
214
Normal
-0.1
922
Normal
-0.1
666
Normal
-0.1
756
Normal
-0.1
188
Normal
-0.1
456
Normal
-0.2
724
Normal
-0.2
126
Normal
-0.2
111
Normal
-0.2
452
Normal
-0.2
816
Normal
-0.2
468
Normal
-0.2
686
Normal
-0.2
713
Tumor
-0.2
851
Tumor
-0.2
861
Tumor
-0.2
952
Normal
-0.2
433
Tumor
-0.2
268
Normal
-0.2
135
Tumor
-0.2
284
Normal
-0.2
642
Normal
-0.2
286
Normal
-0.2
868
Normal
-0.2
146
Normal
-0.2
716
Normal
-0.2
363
Tumor
-0.2
968
Normal
-0.2
912
Normal
-0.2
518
Normal
-0.2
448
Normal
-0.2
332
Normal
-0.2
393
Tumor
-0.2
478
Normal
-0.2
223
Tumor
-0.2
628
Normal
-0.2
138
Normal
-0.2
636
Normal
-0.2
852
Normal
-0.3
392
Normal
-0.3
352
Normal
-0.3
558
Normal
-0.3
916
Normal
-0.3
386
Normal
-0.3
924
Normal
-0.3
647
Tumor
-0.3
384
Normal
-0.3
227
Tumor
-0.3
665
Tumor
-0.3
538
Normal
-0.3
344
Normal
-0.3
528
Normal
-0.3
526
Normal
-0.3
527
Tumor
-0.3
368
Normal
-0.3
574
Normal
-0.3
1045
Tumor
-0.3
516
Normal
-0.3
627
Tumor
-0.4
434
Normal
-0.4
444
Normal
-0.4
953
Tumor
-0.4
778
Normal
-0.4
954
Normal
-0.4
124
Normal
-0.4
471
Tumor
-0.4
1044
Normal
-0.4
355
Tumor
-0.4
191
Tumor
-0.4
383
Tumor
-0.4
473
Tumor
-0.5
818
Normal
-0.5
984
Normal
-0.5
958
Normal
-0.5
311
Tumor
-0.5
218
Normal
-0.5
297
Tumor
-0.5
498
Normal
-0.5
554
Normal
-0.5
217
Tumor
-0.5
123
Tumor
-0.6
231
Tumor
-0.6
192
Normal
-0.6
573
Tumor
-0.6
966
Normal
-0.6
721
Tumor
-0.6
1031
Tumor
-0.6
672
Normal
-0.6
365
Tumor
-0.6
967
Tumor
-0.7
195
Tumor
-0.7
224
Normal
-0.7
641
Tumor
-0.7
557
Tumor
-0.7
411
Tumor
-0.7
492
Normal
-0.7
213
Tumor
-0.7
553
Tumor
-0.8
777
Tumor
-0.8
1025
Tumor
-0.8
983
Tumor
-0.8
171
Tumor
-0.8
517
Tumor
-0.8
1043
Tumor
-0.8
147
Tumor
-0.9
425
Tumor
-0.9
271
Tumor
-0.9
331
Tumor
-0.9
491
Tumor
-0.9
524
Normal
-0.9
467
Tumor
-0.9
1015
Tumor
-0.9
823
Tumor
-1.0
917
Tumor
-1.0
957
Tumor
-1.0
863
Tumor
-1.1
351
Tumor
-1.1
697
Tumor
-1.1
125
Tumor
-1.1
487
Tumor
-1.2
785
Tumor
-1.2
815
Tumor
-1.2
814
Normal
-1.2
881
Tumor
-1.2
817
Tumor
-1.2
943
Tumor
-1.3
536
Normal
-1.3
221
Tumor
-1.3
497
Tumor
-1.3
283
Tumor
-1.3
447
Tumor
-1.3
463
Tumor
-1.3
455
Tumor
-1.4
921
Tumor
-1.4
813
Tumor
-1.4
635
Tumor
-1.4
727
Tumor
-1.5
523
Tumor
-1.5
285
Tumor
-1.5
937
Tumor
-1.5
975
Tumor
-1.5
737
Tumor
-1.5
877
Tumor
-1.6
661
Tumor
-1.6
343
Tumor
-1.6
671
Tumor
-1.6
375
Tumor
-1.6
277
Tumor
-1.7
545
Tumor
-1.8
745
Tumor
-1.8
131
Tumor
-1.8
965
Tumor
-1.9
385
Tumor
-2.2
211
Tumor
-2.4
743
Tumor
-2.5
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LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.