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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.
AKR1C3 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
463.4
Number of samples
362
Samples
Sample
Description
TPM
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
2784.6
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
2774.6
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
2636.0
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
1979.0
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1756.4
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
1728.4
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
1525.1
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
1428.7
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
1378.2
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
1366.6
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
1344.9
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
1241.7
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
1225.3
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
1184.4
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
1175.6
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
1165.3
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
1150.3
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
1143.5
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
1049.5
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
1029.4
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
1019.1
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
1006.4
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
984.8
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
966.8
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
950.1
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
947.8
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
947.5
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
934.5
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
930.9
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
918.7
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
854.5
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
844.8
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
826.8
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
825.1
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
815.3
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
814.7
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
814.6
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
813.3
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
813.1
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
812.8
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
803.2
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
796.9
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
792.7
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
787.4
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
785.5
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
783.5
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
774.6
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
774.5
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
763.7
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
763.5
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
763.0
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
758.8
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
758.6
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
756.3
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
753.2
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
739.5
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
735.9
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
728.5
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
725.9
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
723.1
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
719.3
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
716.6
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
713.0
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
709.0
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
708.6
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
707.5
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
704.2
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
697.9
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
688.5
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
683.3
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
678.9
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
664.0
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
653.1
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
647.8
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
647.6
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
643.4
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
636.9
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
635.5
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
634.9
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
634.1
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
633.9
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
630.1
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
624.3
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
614.1
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
604.2
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
601.8
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
601.6
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
600.5
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
597.5
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
597.3
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
596.6
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
592.8
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
592.6
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
587.5
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
587.1
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
580.4
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
577.6
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
576.6
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
572.3
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
562.8
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
561.2
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
559.1
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
558.9
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
556.2
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
554.8
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
554.7
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
536.4
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
534.4
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
530.2
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
528.4
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
528.2
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
525.9
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
524.9
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
522.1
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
520.6
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
517.9
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
517.3
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
512.2
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
512.1
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
511.0
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
510.3
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
505.9
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
503.0
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
501.9
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
500.2
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
499.5
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
499.1
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
496.4
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
494.7
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
488.6
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
485.0
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
479.3
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
477.8
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
477.1
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
475.9
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
475.6
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
474.0
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
474.0
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
472.3
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
469.2
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
461.8
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
461.3
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
460.2
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
459.3
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
457.9
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
456.7
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
454.6
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
450.9
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
448.1
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
445.2
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
443.9
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
442.7
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
440.7
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
440.4
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
438.8
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
436.8
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
431.8
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
430.9
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
430.1
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
429.4
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
428.5
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
428.5
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
426.2
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
418.1
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
418.0
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
415.5
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
415.0
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
413.0
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
412.1
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
411.5
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
409.2
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
401.6
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
401.3
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
400.7
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
400.4
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
396.6
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
389.3
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
388.2
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
387.4
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
386.6
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
385.1
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
384.2
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
375.7
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
372.4
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
365.8
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
365.7
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
364.0
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
361.7
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
360.1
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
360.1
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
360.0
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
357.9
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
357.9
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
356.8
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
356.1
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
355.5
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
352.3
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
348.0
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
343.4
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
340.3
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
339.9
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
335.2
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
334.3
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
333.3
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
333.0
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
332.5
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
331.7
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
331.4
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
329.3
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
325.1
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
323.7
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
321.1
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
319.8
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
317.0
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
314.0
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
313.1
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
312.6
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
311.6
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
310.0
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
309.0
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
309.0
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
308.3
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
308.2
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
307.5
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
307.1
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
306.6
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
306.3
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
305.0
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
304.5
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
304.3
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
304.2
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
298.1
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
297.5
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
291.6
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
289.4
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
287.8
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
286.1
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
277.8
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
277.7
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
273.8
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
271.5
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
270.7
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
269.8
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
268.9
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
268.6
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
267.4
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
266.0
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
264.0
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
263.7
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
263.5
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
262.4
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
261.6
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
260.8
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
260.7
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
260.7
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
260.6
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
260.0
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
259.9
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
257.4
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
256.4
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
254.1
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
252.9
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
251.1
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
248.4
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
243.5
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
241.9
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
236.7
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
235.9
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
234.7
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
229.0
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
228.9
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
228.9
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
227.7
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
226.1
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
223.5
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
223.2
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
219.8
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
218.8
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
216.8
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
216.4
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
214.7
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
214.7
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
212.9
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
205.3
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
205.2
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
203.7
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
201.0
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
194.8
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
194.0
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
193.6
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
192.7
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
191.4
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
187.2
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
183.8
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
183.8
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
183.5
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
183.3
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
181.8
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
181.2
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
179.6
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
178.7
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
178.2
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
176.5
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
176.2
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
171.6
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
170.9
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
168.2
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
166.0
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
164.3
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
161.8
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
160.5
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
159.1
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
158.9
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
158.7
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
152.6
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
149.4
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
147.1
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
145.7
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
145.1
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
142.3
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
137.4
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
135.2
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
132.9
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
132.0
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
127.0
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
125.0
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
123.9
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
121.2
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
120.8
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
120.2
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
119.2
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
118.5
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
115.1
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
114.3
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
112.0
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
111.2
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
110.0
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
106.9
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
106.2
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
104.9
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
104.2
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
102.3
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
99.4
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
95.9
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
93.9
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
93.8
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
91.6
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
90.2
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
90.2
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
88.9
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
75.3
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
65.8
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
65.5
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
61.7
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
59.3
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
50.6
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
42.4
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
41.1
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
38.8
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
36.4
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
29.6
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 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.
AKR1C3 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
319.4
Number of samples
231
Samples
Sample
Description
TPM
DO23521
63 years, male, NA, stage:3, alive, 1110 days
1947.5
DO23519
65 years, male, NA, stage:3, alive, 630 days
1650.5
DO45145
78 years, male, NA, stage:3, dead, 60 days
1345.1
DO45119
74 years, male, NA, stage:3, dead, 510 days
1135.0
DO45267
73 years, male, NA, stage:3, dead, 570 days
1133.7
DO48741
64 years, male, NA, stage:3, alive, 240 days
1089.2
DO48757
68 years, female, NA, stage:3, alive, 480 days
1055.5
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1050.4
DO48723
73 years, male, NA, stage:1, alive, 600 days
921.8
DO45205
67 years, female, NA, stage:2, dead, 90 days
860.0
DO23526
66 years, male, NA, stage:3, alive, 1050 days
845.4
DO45221
75 years, female, NA, stage:4, dead, 390 days
838.6
DO23508
79 years, female, NA, stage:2, alive, 390 days
789.0
DO50829
78 years, male, NA, stage:3, alive, 570 days
768.8
DO23509
60 years, male, NA, stage:3, dead, 780 days
726.9
DO48697
64 years, female, NA, stage:2, dead, 810 days
718.0
DO50791
79 years, female, NA, stage:1, dead, 480 days
716.4
DO50798
77 years, male, NA, stage:3, dead, 30 days
716.3
DO45093
71 years, male, NA, stage:2, dead, 720 days
713.6
DO50825
70 years, male, NA, stage:2, alive, 390 days
673.7
DO48672
81 years, male, NA, stage:2, alive, 450 days
669.9
DO50785
37 years, male, NA, stage:4, dead, 90 days
639.9
DO45175
74 years, male, NA, stage:2, alive, 1140 days
639.6
DO48682
72 years, female, NA, stage:3, dead, 120 days
631.3
DO45123
78 years, female, NA, stage:2, dead, 570 days
613.2
DO23540
73 years, male, NA, stage:1, alive, 750 days
603.0
DO23539
77 years, male, NA, stage:1, alive, 1110 days
586.4
DO45237
58 years, male, NA, stage:2, alive, 900 days
584.7
DO23545
67 years, male, NA, stage:2, dead, 570 days
584.2
DO45219
78 years, male, NA, stage:2, alive, 1080 days
582.7
DO45269
59 years, male, NA, stage:3, alive, 750 days
577.6
DO48695
77 years, male, NA, stage:2, alive, 720 days
568.0
DO45092
62 years, male, NA, stage:4, dead, 1200 days
564.4
DO23542
66 years, male, NA, stage:3, alive, 960 days
563.2
DO45263
67 years, male, NA, stage:3, dead, 270 days
540.4
DO48751
68 years, male, NA, stage:2, dead, 480 days
525.9
DO48747
62 years, male, NA, stage:3, alive, 540 days
522.4
DO50808
68 years, male, NA, stage:2, alive, 570 days
499.1
DO45173
63 years, male, NA, stage:3, alive, 1170 days
497.5
DO23529
72 years, male, NA, stage:4, alive, 930 days
497.4
DO45161
74 years, male, NA, stage:2, dead, 540 days
490.5
DO50799
66 years, female, NA, stage:2, alive, 540 days
488.5
DO50859
77 years, male, NA, stage:2, alive, 180 days
486.3
DO48715
58 years, female, NA, stage:2, dead, 690 days
483.9
DO45129
61 years, male, NA, stage:3, alive, 1470 days
478.3
DO45277
64 years, male, NA, stage:3, alive, 600 days
471.0
DO50802
49 years, male, NA, stage:2, alive, 930 days
470.3
DO23510
80 years, female, NA, stage:2, alive, 870 days
468.8
DO45165
75 years, male, NA, stage:2, alive, 690 days
459.3
DO45281
83 years, male, NA, stage:4, alive, 750 days
458.6
DO48704
68 years, female, NA, stage:3, alive, 750 days
455.8
DO45283
60 years, male, NA, stage:3, alive, 510 days
451.0
DO45227
57 years, female, NA, stage:2, alive, 1020 days
445.5
DO50806
70 years, male, NA, stage:4, alive, 540 days
442.5
DO50793
76 years, male, NA, stage:4, alive, 540 days
428.9
DO48761
55 years, male, NA, stage:2, alive, 870 days
427.2
DO48679
72 years, male, NA, stage:2, alive, 1200 days
422.0
DO50776
75 years, male, NA, stage:1, alive, 690 days
408.4
DO45149
70 years, female, NA, stage:2, alive, 1260 days
408.1
DO48719
80 years, male, NA, stage:2, alive, 690 days
408.0
DO48732
73 years, male, NA, stage:3, alive, 630 days
401.8
DO50805
72 years, male, NA, stage:2, alive, 690 days
398.7
DO45143
69 years, male, NA, stage:3, alive, 1290 days
396.1
DO23511
83 years, female, NA, stage:3, dead, 180 days
389.9
DO45193
68 years, female, NA, stage:4, dead, 120 days
387.9
DO45096
69 years, male, NA, stage:2, dead, 1290 days
386.0
DO45113
58 years, male, NA, stage:3, alive, 1560 days
385.8
DO48721
58 years, female, NA, stage:1, alive, 900 days
384.1
DO50809
56 years, male, NA, stage:3, dead, 720 days
382.1
DO48725
66 years, male, NA, stage:1, alive, 780 days
376.5
DO45265
73 years, male, NA, stage:3, alive, 1020 days
376.0
DO50804
81 years, male, NA, stage:2, alive, 720 days
374.4
DO48681
57 years, male, NA, stage:2, alive, 900 days
373.7
DO45213
58 years, male, NA, stage:1, alive, 1200 days
373.7
DO45135
77 years, male, NA, stage:1, alive, 1410 days
373.6
DO50839
47 years, female, NA, stage:3, alive, 330 days
365.1
DO48717
54 years, male, NA, stage:4, dead, 180 days
360.0
DO48700
78 years, female, NA, stage:2, alive, 810 days
358.3
DO48701
78 years, male, NA, stage:2, alive, 780 days
357.5
DO45171
56 years, male, NA, stage:3, alive, 600 days
357.5
DO45235
68 years, female, NA, stage:1, alive, 900 days
356.1
DO45157
62 years, male, NA, stage:2, alive, 1980 days
345.5
DO48736
76 years, female, NA, stage:1, alive, 600 days
338.2
DO50844
75 years, male, NA, stage:4, alive, 300 days
335.1
DO45217
69 years, female, NA, stage:3, dead, 270 days
325.2
DO50850
74 years, male, NA, stage:3, alive, 720 days
323.8
DO45197
51 years, male, NA, stage:2, alive, 1170 days
322.2
DO50822
66 years, male, NA, stage:2, alive, 510 days
312.4
DO45225
69 years, male, NA, stage:1, alive, 1050 days
311.8
DO23533
61 years, male, NA, stage:2, alive, 900 days
309.1
DO45117
73 years, female, NA, stage:2, dead, 1110 days
307.5
DO45139
63 years, male, NA, stage:3, alive, 1320 days
299.9
DO23534
60 years, male, NA, stage:2, alive, 840 days
296.6
DO45305
66 years, male, NA, stage:4, alive, 300 days
296.4
DO48727
81 years, female, NA, stage:2, dead, 390 days
293.8
DO50778
60 years, male, NA, stage:4, alive, 630 days
291.3
DO45247
31 years, female, NA, stage:2, alive, 210 days
285.6
DO50832
73 years, male, NA, stage:3, alive, 90 days
276.6
DO45187
32 years, female, NA, stage:1, alive, 1260 days
276.3
DO48759
73 years, male, NA, stage:3, alive, 720 days
271.2
DO23541
65 years, male, NA, stage:2, alive, 930 days
266.2
DO45115
81 years, male, NA, stage:2, alive, 840 days
265.8
DO45133
64 years, male, NA, stage:3, dead, 660 days
265.7
DO48730
73 years, female, NA, stage:2, alive, 630 days
263.8
DO45245
75 years, female, NA, stage:2, dead, 240 days
257.2
DO23536
56 years, male, NA, stage:2, alive, 930 days
256.4
DO45163
76 years, male, NA, stage:2, alive, 960 days
255.8
DO48706
72 years, male, NA, stage:2, alive, 870 days
250.9
DO48728
74 years, female, NA, stage:2, alive, 150 days
250.4
DO50845
72 years, male, NA, stage:3, alive, 210 days
249.3
DO23513
76 years, male, NA, stage:3, alive, 1200 days
246.6
DO45253
50 years, male, NA, stage:2, alive, 870 days
240.4
DO23546
63 years, male, NA, stage:2, alive, 1050 days
236.3
DO45169
74 years, male, NA, stage:3, alive, 1350 days
235.8
DO45137
38 years, male, NA, stage:1, alive, 1320 days
234.0
DO48742
76 years, male, NA, stage:2, alive, 600 days
233.2
DO45199
86 years, female, NA, stage:2, alive, 1350 days
232.7
DO23535
67 years, male, NA, stage:1, alive, 960 days
231.7
DO45185
89 years, male, NA, stage:2, alive, 600 days
227.8
DO50807
67 years, male, NA, stage:1, alive, 540 days
227.4
DO48737
52 years, male, NA, stage:1, alive, 720 days
227.2
DO45179
78 years, female, NA, stage:2, alive, 600 days
227.2
DO23528
45 years, female, NA, stage:2, alive, 1020 days
220.0
DO45131
53 years, male, NA, stage:4, dead, 360 days
219.4
DO50783
62 years, male, NA, stage:3, alive, 480 days
218.9
DO50816
63 years, male, NA, stage:2, alive, 390 days
216.5
DO48716
71 years, male, NA, stage:2, alive, 720 days
214.6
DO45121
61 years, male, NA, stage:3, alive, 1530 days
214.2
DO23524
71 years, female, NA, stage:2, alive, 1050 days
213.9
DO23516
69 years, male, NA, stage:3, dead, 20 days
213.5
DO23552
80 years, female, NA, stage:1, alive, 810 days
213.0
DO45095
66 years, male, NA, stage:2, alive, 1620 days
212.0
DO45183
72 years, female, NA, stage:2, dead, 570 days
210.5
DO45255
81 years, male, NA, stage:3, alive, 720 days
210.4
DO23548
78 years, female, NA, stage:1, alive, 840 days
207.5
DO45099
46 years, male, NA, stage:3, alive, 1590 days
205.8
DO23537
79 years, male, NA, stage:2, dead, 900 days
205.6
DO50813
56 years, male, NA, stage:2, alive, 420 days
205.1
DO45167
67 years, male, NA, stage:2, dead, 1440 days
200.3
DO45141
73 years, male, NA, stage:2, alive, 1320 days
199.4
DO50774
68 years, female, NA, stage:2, alive, 720 days
196.9
DO50789
73 years, female, NA, stage:2, alive, 570 days
196.3
DO45275
65 years, male, NA, stage:3, dead, 10 days
195.8
DO45203
71 years, female, NA, stage:2, alive, 1170 days
189.3
DO23518
67 years, male, NA, stage:2, alive, 1320 days
188.7
DO45159
65 years, male, NA, stage:3, alive, 1470 days
185.7
DO45094
76 years, male, NA, stage:3, alive, 1650 days
184.1
DO45191
61 years, female, NA, stage:2, alive, 1200 days
182.9
DO48712
50 years, male, NA, stage:2, alive, 810 days
181.2
DO45155
69 years, male, NA, stage:2, alive, 2160 days
180.0
DO45211
76 years, male, NA, stage:3, alive, 240 days
179.5
DO50820
77 years, female, NA, stage:3, alive, 510 days
178.6
DO45257
46 years, male, NA, stage:3, alive, 810 days
177.9
DO45103
47 years, male, NA, stage:3, alive, 450 days
176.0
DO50811
62 years, male, NA, stage:1, alive, 450 days
174.3
DO227801
77 years, female, NA, stage:1, alive, 660 days
172.4
DO50814
83 years, male, NA, stage:3, alive, 420 days
171.8
DO50840
49 years, male, NA, stage:2, alive, 330 days
169.5
DO45273
62 years, male, NA, stage:2, alive, 480 days
168.9
DO48743
69 years, female, NA, stage:2, alive, 570 days
168.7
DO23512
60 years, male, NA, stage:1, alive, 1260 days
168.1
DO23532
71 years, female, NA, stage:1, alive, 960 days
166.2
DO48760
70 years, female, NA, stage:2, alive, 690 days
162.5
DO23550
69 years, male, NA, stage:1, alive, 990 days
160.5
DO50787
63 years, male, NA, stage:3, alive, 480 days
157.4
DO45233
83 years, male, NA, stage:3, alive, 900 days
155.0
DO50818
65 years, male, NA, stage:2, alive, 510 days
152.0
DO45177
81 years, female, NA, stage:3, alive, 1260 days
151.8
DO23544
67 years, male, NA, stage:2, alive, 960 days
151.6
DO45243
74 years, female, NA, stage:3, alive, 930 days
148.4
DO50857
72 years, male, NA, stage:2, alive, 210 days
146.4
DO45229
74 years, male, NA, stage:1, alive, 990 days
144.4
DO227643
79 years, male, NA, stage:2, alive, 1260 days
142.4
DO23538
67 years, male, NA, stage:2, alive, 450 days
141.5
DO45209
70 years, male, NA, stage:4, alive, 1350 days
141.4
DO45297
61 years, female, NA, stage:4, dead, 1260 days
140.3
DO45091
56 years, male, NA, stage:2, dead, 1320 days
140.2
DO45153
77 years, female, NA, stage:2, alive, 1380 days
137.9
DO50819
72 years, female, NA, stage:2, alive, 510 days
135.1
DO45239
42 years, male, NA, stage:2, alive, 870 days
133.0
DO45109
63 years, male, NA, stage:2, alive, 1590 days
131.9
DO45101
63 years, male, NA, stage:2, alive, 1680 days
127.5
DO45201
49 years, male, NA, stage:1, alive, 900 days
126.3
DO48677
58 years, male, NA, stage:3, alive, 1140 days
122.6
DO45303
62 years, female, NA, stage:3, alive, 990 days
122.3
DO45107
63 years, female, NA, stage:2, alive, 1710 days
120.6
DO45241
49 years, male, NA, stage:1, alive, 1080 days
119.9
DO45097
69 years, male, NA, stage:3, alive, 1620 days
119.9
DO45289
78 years, female, NA, stage:3, alive, 360 days
118.3
DO23543
63 years, male, NA, stage:2, alive, 1020 days
118.3
DO48720
62 years, female, NA, stage:2, alive, 570 days
117.0
DO50815
62 years, male, NA, stage:3, alive, 150 days
116.2
DO45261
74 years, male, NA, stage:3, alive, 990 days
115.5
DO50803
62 years, female, NA, stage:1, alive, 540 days
111.1
DO45249
57 years, male, NA, stage:1, alive, 630 days
110.4
DO50855
47 years, male, NA, stage:2, alive, 570 days
108.4
DO23527
72 years, male, NA, stage:1, alive, 1050 days
104.7
DO45111
74 years, male, NA, stage:2, alive, 1590 days
101.6
DO50800
74 years, male, NA, stage:2, alive, 510 days
100.5
DO45207
68 years, male, NA, stage:1, alive, 1050 days
99.0
DO48733
72 years, male, NA, stage:2, alive, 600 days
96.2
DO45223
67 years, male, NA, stage:4, alive, 1020 days
95.8
DO45195
62 years, male, NA, stage:1, alive, 390 days
92.9
DO23514
64 years, male, NA, stage:2, alive, 1290 days
90.0
DO45105
61 years, male, NA, stage:1, alive, 1680 days
86.7
DO45279
67 years, male, NA, stage:3, alive, 1290 days
81.9
DO45231
84 years, male, NA, stage:2, alive, 930 days
81.6
DO45125
58 years, male, NA, stage:3, alive, 1680 days
77.6
DO45215
65 years, male, NA, stage:2, alive, 1170 days
73.6
DO23547
74 years, male, NA, stage:1, alive, 1020 days
72.8
DO48746
76 years, male, NA, stage:3, alive, 570 days
71.4
DO23530
53 years, male, NA, stage:4, dead, 180 days
68.0
DO48693
71 years, male, NA, stage:2, alive, 900 days
67.6
DO23549
74 years, male, NA, stage:3, alive, 990 days
62.0
DO48674
80 years, male, NA, stage:2, alive, 1260 days
56.5
DO23517
62 years, male, NA, stage:2, alive, 1200 days
55.7
DO23551
73 years, male, NA, stage:3, dead, 150 days
54.0
DO50817
75 years, male, NA, stage:2, alive, 390 days
48.7
DO23531
78 years, female, NA, stage:3, alive, 900 days
48.5
DO23515
71 years, male, NA, stage:2, alive, 1230 days
48.3
DO45301
56 years, male, NA, stage:2, dead, 1440 days
45.9
DO45285
59 years, male, NA, stage:3, alive, 480 days
45.0
DO45181
84 years, female, NA, stage:2, alive, 1200 days
43.4
DO45259
65 years, male, NA, stage:3, alive, 330 days
37.7
DO45287
74 years, male, NA, stage:1, alive, 390 days
37.3
DO45251
57 years, female, NA, stage:2, alive, 900 days
37.2
DO45189
85 years, female, NA, stage:2, alive, 1200 days
25.8
DO45307
54 years, female, NA, stage:4, dead, 240 days
12.7
DO45127
73 years, male, NA, stage:3, dead, 420 days
8.6
DO23523
52 years, male, NA, stage:3, alive, 1080 days
2.6
DO45299
70 years, female, NA, stage:1, alive, 1440 days
1.2
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
663
Tumor
1.4
741
Tumor
1.1
913
Tumor
1.1
267
Tumor
1.1
537
Tumor
1.0
685
Tumor
1.0
1013
Tumor
0.9
161
Tumor
0.9
617
Tumor
0.9
113
Tumor
0.9
1041
Tumor
0.9
525
Tumor
0.8
571
Tumor
0.8
483
Tumor
0.8
925
Tumor
0.8
911
Tumor
0.7
1027
Tumor
0.7
883
Tumor
0.6
127
Tumor
0.5
387
Tumor
0.5
415
Tumor
0.5
423
Tumor
0.5
465
Tumor
0.5
477
Tumor
0.5
353
Tumor
0.5
357
Tumor
0.5
435
Tumor
0.5
313
Tumor
0.5
873
Tumor
0.4
393
Tumor
0.4
742
Normal
0.4
865
Tumor
0.4
515
Tumor
0.4
141
Tumor
0.4
413
Tumor
0.4
1026
Normal
0.4
951
Tumor
0.4
533
Tumor
0.4
867
Tumor
0.4
112
Tumor
0.4
482
Normal
0.4
431
Tumor
0.3
132
Normal
0.3
436
Normal
0.3
484
Normal
0.3
222
Normal
0.3
513
Tumor
0.3
527
Tumor
0.3
212
Normal
0.3
648
Normal
0.2
137
Tumor
0.2
746
Normal
0.2
567
Tumor
0.2
341
Tumor
0.2
461
Tumor
0.2
196
Normal
0.2
172
Normal
0.2
647
Tumor
0.2
327
Tumor
0.2
424
Normal
0.2
977
Tumor
0.2
128
Normal
0.2
616
Normal
0.2
914
Normal
0.2
1021
Tumor
0.2
755
Tumor
0.2
462
Normal
0.2
715
Tumor
0.2
777
Tumor
0.2
466
Normal
0.2
723
Tumor
0.2
1046
Normal
0.1
411
Tumor
0.1
136
Normal
0.1
257
Tumor
0.1
695
Tumor
0.1
428
Normal
0.1
162
Normal
0.1
824
Normal
0.1
944
Normal
0.1
858
Normal
0.1
884
Normal
0.1
615
Tumor
0.1
314
Normal
0.1
366
Normal
0.1
145
Tumor
0.1
272
Normal
0.1
857
Tumor
0.1
738
Normal
0.1
563
Tumor
0.1
258
Normal
0.1
698
Normal
0.1
472
Normal
0.1
135
Tumor
0.1
414
Normal
0.1
724
Normal
0.1
148
Normal
0.1
1022
Normal
0.0
728
Normal
0.0
394
Normal
0.0
185
Tumor
0.0
546
Normal
0.0
356
Normal
0.0
342
Normal
0.0
425
Tumor
0.0
955
Tumor
0.0
422
Normal
0.0
967
Tumor
0.0
923
Tumor
0.0
976
Normal
0.0
187
Tumor
0.0
298
Normal
0.0
815
Tumor
0.0
1043
Tumor
0.0
328
Normal
0.0
488
Normal
0.0
278
Normal
0.0
918
Normal
0.0
1032
Normal
0.0
1042
Normal
0.0
864
Normal
0.0
756
Normal
0.0
568
Normal
0.0
396
Normal
0.0
851
Tumor
0.0
388
Normal
0.0
564
Normal
0.0
364
Normal
0.0
186
Normal
0.0
142
Normal
0.0
312
Normal
0.0
171
Tumor
0.0
1045
Tumor
0.0
1014
Normal
0.0
421
Tumor
0.0
963
Tumor
0.0
786
Normal
0.0
664
Normal
-0.1
618
Normal
-0.1
432
Normal
-0.1
978
Normal
-0.1
464
Normal
-0.1
474
Normal
-0.1
376
Normal
-0.1
744
Normal
-0.1
535
Tumor
-0.1
572
Normal
-0.1
1028
Normal
-0.1
518
Normal
-0.1
114
Normal
-0.1
1016
Normal
-0.1
981
Tumor
-0.1
912
Normal
-0.1
862
Normal
-0.1
446
Normal
-0.1
228
Normal
-0.1
445
Tumor
-0.1
878
Normal
-0.1
354
Normal
-0.1
147
Tumor
-0.1
953
Tumor
-0.1
416
Normal
-0.1
311
Tumor
-0.1
968
Normal
-0.1
866
Normal
-0.1
481
Tumor
-0.1
443
Tumor
-0.1
696
Normal
-0.1
818
Normal
-0.1
426
Normal
-0.1
722
Normal
-0.2
938
Normal
-0.2
367
Tumor
-0.2
868
Normal
-0.2
686
Normal
-0.2
471
Tumor
-0.2
284
Normal
-0.2
383
Tumor
-0.2
982
Normal
-0.2
882
Normal
-0.2
874
Normal
-0.2
956
Normal
-0.2
922
Normal
-0.2
534
Normal
-0.2
433
Tumor
-0.2
123
Tumor
-0.2
1025
Tumor
-0.2
395
Tumor
-0.2
412
Normal
-0.2
262
Normal
-0.2
493
Tumor
-0.2
528
Normal
-0.2
954
Normal
-0.2
514
Normal
-0.2
1044
Normal
-0.2
666
Normal
-0.2
642
Normal
-0.2
926
Normal
-0.2
662
Normal
-0.2
191
Tumor
-0.2
138
Normal
-0.2
665
Tumor
-0.2
494
Normal
-0.2
261
Tumor
-0.2
636
Normal
-0.2
361
Tumor
-0.2
358
Normal
-0.2
628
Normal
-0.2
558
Normal
-0.2
227
Tumor
-0.2
778
Normal
-0.2
964
Normal
-0.2
232
Normal
-0.3
526
Normal
-0.3
983
Tumor
-0.3
641
Tumor
-0.3
1031
Tumor
-0.3
952
Normal
-0.3
516
Normal
-0.3
478
Normal
-0.3
553
Tumor
-0.3
218
Normal
-0.3
195
Tumor
-0.3
627
Tumor
-0.3
111
Normal
-0.3
727
Tumor
-0.3
538
Normal
-0.3
126
Normal
-0.3
456
Normal
-0.3
363
Tumor
-0.3
816
Normal
-0.3
362
Normal
-0.3
188
Normal
-0.3
391
Tumor
-0.3
386
Normal
-0.3
217
Tumor
-0.3
924
Normal
-0.3
427
Tumor
-0.3
984
Normal
-0.3
468
Normal
-0.3
714
Normal
-0.3
344
Normal
-0.3
392
Normal
-0.3
713
Tumor
-0.3
452
Normal
-0.3
716
Normal
-0.3
448
Normal
-0.3
517
Tumor
-0.3
365
Tumor
-0.3
146
Normal
-0.4
721
Tumor
-0.4
574
Normal
-0.4
368
Normal
-0.4
852
Normal
-0.4
863
Tumor
-0.4
223
Tumor
-0.4
352
Normal
-0.4
473
Tumor
-0.4
125
Tumor
-0.4
384
Normal
-0.4
286
Normal
-0.4
332
Normal
-0.4
214
Normal
-0.4
915
Tumor
-0.4
916
Normal
-0.5
355
Tumor
-0.5
297
Tumor
-0.5
813
Tumor
-0.5
467
Tumor
-0.5
861
Tumor
-0.5
487
Tumor
-0.5
268
Normal
-0.5
957
Tumor
-0.5
817
Tumor
-0.5
192
Normal
-0.5
573
Tumor
-0.5
444
Normal
-0.5
498
Normal
-0.5
497
Tumor
-0.5
213
Tumor
-0.5
331
Tumor
-0.5
221
Tumor
-0.5
966
Normal
-0.6
124
Normal
-0.6
958
Normal
-0.6
554
Normal
-0.6
492
Normal
-0.6
434
Normal
-0.6
737
Tumor
-0.6
463
Tumor
-0.6
224
Normal
-0.6
697
Tumor
-0.6
672
Normal
-0.6
1015
Tumor
-0.6
231
Tumor
-0.6
745
Tumor
-0.6
271
Tumor
-0.6
917
Tumor
-0.7
921
Tumor
-0.7
283
Tumor
-0.7
785
Tumor
-0.7
351
Tumor
-0.7
943
Tumor
-0.8
635
Tumor
-0.8
823
Tumor
-0.8
937
Tumor
-0.8
455
Tumor
-0.8
491
Tumor
-0.8
814
Normal
-0.9
557
Tumor
-0.9
451
Tumor
-0.9
524
Normal
-0.9
671
Tumor
-0.9
877
Tumor
-1.0
285
Tumor
-1.0
661
Tumor
-1.1
523
Tumor
-1.1
536
Normal
-1.2
277
Tumor
-1.2
343
Tumor
-1.2
965
Tumor
-1.2
881
Tumor
-1.2
975
Tumor
-1.2
545
Tumor
-1.2
131
Tumor
-1.3
447
Tumor
-1.3
385
Tumor
-1.7
375
Tumor
-1.7
743
Tumor
-1.9
211
Tumor
-2.4
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LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.