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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.
FKBP2 is not prognostic in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
267.0
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
1023.6
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
812.4
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
742.1
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
663.9
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
594.2
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
589.6
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
583.5
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
581.1
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
562.9
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
551.3
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
538.4
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
537.9
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
529.7
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
526.9
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
522.2
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
518.7
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
514.5
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
513.3
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
499.7
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
498.2
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
497.6
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
495.5
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
479.1
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
478.1
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
471.8
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
465.7
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
463.4
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
459.7
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
458.7
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
457.4
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
453.5
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
453.0
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
448.3
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
443.7
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
435.3
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
428.2
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
424.2
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
416.5
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
411.6
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
409.8
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
407.5
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
406.0
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
400.7
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
400.6
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
397.6
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
395.9
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
395.5
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
390.5
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
390.1
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
388.3
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
388.3
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
386.1
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
384.6
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
380.5
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
376.3
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
374.5
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
374.3
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
371.0
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
369.3
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
368.4
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
368.3
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
368.1
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
363.8
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
361.5
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
358.8
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
358.0
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
356.5
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
356.2
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
354.0
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
352.2
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
350.5
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
348.3
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
347.9
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
347.3
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
347.2
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
344.6
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
340.0
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
339.5
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
339.3
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
336.9
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
336.6
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
336.5
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
336.1
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
333.1
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
331.3
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
330.9
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
329.0
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
328.4
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
325.6
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
324.3
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
323.1
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
321.0
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
320.3
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
318.7
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
318.5
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
316.3
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
315.2
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
314.0
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
313.7
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
313.1
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
312.9
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
306.0
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
305.7
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
304.5
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
304.3
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
304.1
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
296.4
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
296.1
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
295.3
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
295.0
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
295.0
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
294.5
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
294.2
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
293.6
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
291.5
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
291.2
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
290.4
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
287.7
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
287.5
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
285.9
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
284.1
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
283.3
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
282.8
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
282.7
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
281.1
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
280.3
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
279.5
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
278.5
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
278.1
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
276.0
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
274.2
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
272.3
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
272.2
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
271.7
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
270.9
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
270.6
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
269.5
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
268.7
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
268.2
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
267.7
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
267.4
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
267.0
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
266.7
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
266.4
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
266.4
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
265.8
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
265.5
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
265.3
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
265.3
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
264.8
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
264.7
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
263.4
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
263.0
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
261.7
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
260.8
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
260.4
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
259.4
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
258.9
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
258.6
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
258.6
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
258.4
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
258.4
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
257.3
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
257.1
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
256.1
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
256.0
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
255.4
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
255.0
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
254.9
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
254.1
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
248.5
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
247.4
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
247.1
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
246.9
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
246.7
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
245.2
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
244.8
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
244.6
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
244.5
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
243.8
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
241.3
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
240.3
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
239.8
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
238.7
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
238.2
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
237.4
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
236.4
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
236.4
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
236.3
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
234.8
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
233.9
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
233.6
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
231.8
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
231.3
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
230.8
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
230.3
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
228.6
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
228.4
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
228.1
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
227.6
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
225.9
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
225.5
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
225.1
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
224.3
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
224.0
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
223.5
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
223.0
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
222.6
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
222.1
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
221.5
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
221.0
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
219.8
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
219.3
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
219.1
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
218.9
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
216.5
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
216.4
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
216.2
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
216.2
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
215.9
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
215.8
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
214.5
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
214.4
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
214.1
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
212.1
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
211.2
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
210.9
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
209.4
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
208.2
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
208.0
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
207.7
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
206.6
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
206.5
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
206.3
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
204.4
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
204.3
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
204.2
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
203.9
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
203.5
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
202.7
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
202.0
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
199.9
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
198.5
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
198.3
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
197.1
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
197.1
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
196.3
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
195.6
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
194.9
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
194.7
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
194.6
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
193.9
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
193.9
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
193.7
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
193.6
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
192.5
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
191.8
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
189.3
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
188.8
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
188.6
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
188.5
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
188.4
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
188.4
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
187.5
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
187.2
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
186.1
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
185.6
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
184.3
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
183.4
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
183.1
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
182.2
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
182.0
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
181.9
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
179.7
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
179.5
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
178.8
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
178.7
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
178.7
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
177.8
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
177.4
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
177.0
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
175.0
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
174.6
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
174.2
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
173.7
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
173.0
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
172.5
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
171.9
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
171.3
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
170.9
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
170.7
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
169.5
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
168.8
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
168.3
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
167.8
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
165.8
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
164.4
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
163.7
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
163.7
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
163.5
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
162.9
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
162.5
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
162.5
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
162.3
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
161.6
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
161.2
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
160.6
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
160.2
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
160.0
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
159.9
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
158.6
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
158.2
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
158.2
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
158.1
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
157.1
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
156.8
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
156.7
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
156.2
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
155.3
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
154.8
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
154.4
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
154.3
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
153.4
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
152.9
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
152.5
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
151.7
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
151.1
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
148.4
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
147.0
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
146.9
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
146.4
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
145.9
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
145.8
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
142.0
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
141.7
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
141.5
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
136.7
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
136.7
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
133.8
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
131.2
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
130.4
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
130.2
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
129.0
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
127.3
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
124.8
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
121.1
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
117.1
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
116.8
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
116.5
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
114.8
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
114.0
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
112.8
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
112.2
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
111.5
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
110.0
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
107.5
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
93.3
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
90.8
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
88.7
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
84.2
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
77.2
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 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.
FKBP2 is not prognostic in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
204.6
Number of samples
231
Samples
Sample
Description
pTPM
DO50839
47 years, female, NA, stage:3, alive, 330 days
894.7
DO45299
70 years, female, NA, stage:1, alive, 1440 days
577.7
DO45149
70 years, female, NA, stage:2, alive, 1260 days
523.9
DO23534
60 years, male, NA, stage:2, alive, 840 days
498.5
DO45145
78 years, male, NA, stage:3, dead, 60 days
479.9
DO23532
71 years, female, NA, stage:1, alive, 960 days
468.8
DO45125
58 years, male, NA, stage:3, alive, 1680 days
462.8
DO48747
62 years, male, NA, stage:3, alive, 540 days
455.2
DO50808
68 years, male, NA, stage:2, alive, 570 days
436.8
DO45285
59 years, male, NA, stage:3, alive, 480 days
381.8
DO50814
83 years, male, NA, stage:3, alive, 420 days
372.3
DO45205
67 years, female, NA, stage:2, dead, 90 days
353.3
DO48701
78 years, male, NA, stage:2, alive, 780 days
351.4
DO23526
66 years, male, NA, stage:3, alive, 1050 days
349.7
DO48737
52 years, male, NA, stage:1, alive, 720 days
345.8
DO45241
49 years, male, NA, stage:1, alive, 1080 days
329.9
DO50806
70 years, male, NA, stage:4, alive, 540 days
328.2
DO45303
62 years, female, NA, stage:3, alive, 990 days
327.1
DO50813
56 years, male, NA, stage:2, alive, 420 days
326.9
DO23508
79 years, female, NA, stage:2, alive, 390 days
326.4
DO45289
78 years, female, NA, stage:3, alive, 360 days
323.9
DO48682
72 years, female, NA, stage:3, dead, 120 days
319.7
DO45273
62 years, male, NA, stage:2, alive, 480 days
312.5
DO50815
62 years, male, NA, stage:3, alive, 150 days
312.5
DO23539
77 years, male, NA, stage:1, alive, 1110 days
309.1
DO45209
70 years, male, NA, stage:4, alive, 1350 days
301.9
DO45109
63 years, male, NA, stage:2, alive, 1590 days
299.6
DO45243
74 years, female, NA, stage:3, alive, 930 days
298.1
DO50845
72 years, male, NA, stage:3, alive, 210 days
288.9
DO45105
61 years, male, NA, stage:1, alive, 1680 days
287.2
DO45301
56 years, male, NA, stage:2, dead, 1440 days
285.7
DO23544
67 years, male, NA, stage:2, alive, 960 days
282.3
DO45217
69 years, female, NA, stage:3, dead, 270 days
280.7
DO45092
62 years, male, NA, stage:4, dead, 1200 days
279.2
DO45101
63 years, male, NA, stage:2, alive, 1680 days
275.6
DO45277
64 years, male, NA, stage:3, alive, 600 days
272.2
DO45245
75 years, female, NA, stage:2, dead, 240 days
266.4
DO50829
78 years, male, NA, stage:3, alive, 570 days
266.2
DO23525
71 years, male, NA, stage:4, alive, 1050 days
265.4
DO48719
80 years, male, NA, stage:2, alive, 690 days
265.3
DO50819
72 years, female, NA, stage:2, alive, 510 days
264.2
DO45107
63 years, female, NA, stage:2, alive, 1710 days
264.0
DO48697
64 years, female, NA, stage:2, dead, 810 days
262.5
DO48733
72 years, male, NA, stage:2, alive, 600 days
261.3
DO23510
80 years, female, NA, stage:2, alive, 870 days
261.1
DO23512
60 years, male, NA, stage:1, alive, 1260 days
260.5
DO45229
74 years, male, NA, stage:1, alive, 990 days
258.2
DO45099
46 years, male, NA, stage:3, alive, 1590 days
257.3
DO50798
77 years, male, NA, stage:3, dead, 30 days
256.6
DO23540
73 years, male, NA, stage:1, alive, 750 days
255.5
DO50791
79 years, female, NA, stage:1, dead, 480 days
255.1
DO48681
57 years, male, NA, stage:2, alive, 900 days
254.2
DO23513
76 years, male, NA, stage:3, alive, 1200 days
253.8
DO50816
63 years, male, NA, stage:2, alive, 390 days
252.3
DO45255
81 years, male, NA, stage:3, alive, 720 days
250.8
DO45095
66 years, male, NA, stage:2, alive, 1620 days
249.8
DO50817
75 years, male, NA, stage:2, alive, 390 days
247.0
DO45297
61 years, female, NA, stage:4, dead, 1260 days
246.0
DO23535
67 years, male, NA, stage:1, alive, 960 days
246.0
DO45305
66 years, male, NA, stage:4, alive, 300 days
241.1
DO45167
67 years, male, NA, stage:2, dead, 1440 days
239.3
DO45103
47 years, male, NA, stage:3, alive, 450 days
239.1
DO50793
76 years, male, NA, stage:4, alive, 540 days
238.6
DO23548
78 years, female, NA, stage:1, alive, 840 days
236.5
DO45143
69 years, male, NA, stage:3, alive, 1290 days
234.6
DO50840
49 years, male, NA, stage:2, alive, 330 days
233.5
DO45249
57 years, male, NA, stage:1, alive, 630 days
228.3
DO48728
74 years, female, NA, stage:2, alive, 150 days
224.7
DO48717
54 years, male, NA, stage:4, dead, 180 days
224.7
DO50802
49 years, male, NA, stage:2, alive, 930 days
222.8
DO23516
69 years, male, NA, stage:3, dead, 20 days
222.6
DO50776
75 years, male, NA, stage:1, alive, 690 days
222.3
DO227643
79 years, male, NA, stage:2, alive, 1260 days
221.7
DO45091
56 years, male, NA, stage:2, dead, 1320 days
221.1
DO23519
65 years, male, NA, stage:3, alive, 630 days
220.3
DO48693
71 years, male, NA, stage:2, alive, 900 days
217.2
DO23549
74 years, male, NA, stage:3, alive, 990 days
215.5
DO45231
84 years, male, NA, stage:2, alive, 930 days
215.4
DO50811
62 years, male, NA, stage:1, alive, 450 days
212.0
DO45287
74 years, male, NA, stage:1, alive, 390 days
208.2
DO50805
72 years, male, NA, stage:2, alive, 690 days
208.2
DO23550
69 years, male, NA, stage:1, alive, 990 days
204.2
DO45139
63 years, male, NA, stage:3, alive, 1320 days
203.8
DO48730
73 years, female, NA, stage:2, alive, 630 days
203.5
DO45161
74 years, male, NA, stage:2, dead, 540 days
203.1
DO48674
80 years, male, NA, stage:2, alive, 1260 days
201.5
DO48712
50 years, male, NA, stage:2, alive, 810 days
201.4
DO45215
65 years, male, NA, stage:2, alive, 1170 days
200.6
DO23547
74 years, male, NA, stage:1, alive, 1020 days
199.7
DO45185
89 years, male, NA, stage:2, alive, 600 days
199.5
DO50783
62 years, male, NA, stage:3, alive, 480 days
199.1
DO23533
61 years, male, NA, stage:2, alive, 900 days
198.1
DO50778
60 years, male, NA, stage:4, alive, 630 days
197.7
DO48732
73 years, male, NA, stage:3, alive, 630 days
197.4
DO50825
70 years, male, NA, stage:2, alive, 390 days
197.1
DO50832
73 years, male, NA, stage:3, alive, 90 days
197.0
DO45173
63 years, male, NA, stage:3, alive, 1170 days
196.8
DO45281
83 years, male, NA, stage:4, alive, 750 days
196.7
DO50844
75 years, male, NA, stage:4, alive, 300 days
196.2
DO45267
73 years, male, NA, stage:3, dead, 570 days
195.9
DO45133
64 years, male, NA, stage:3, dead, 660 days
195.9
DO48760
70 years, female, NA, stage:2, alive, 690 days
194.7
DO45191
61 years, female, NA, stage:2, alive, 1200 days
194.6
DO45283
60 years, male, NA, stage:3, alive, 510 days
193.6
DO50818
65 years, male, NA, stage:2, alive, 510 days
193.5
DO45237
58 years, male, NA, stage:2, alive, 900 days
193.1
DO48715
58 years, female, NA, stage:2, dead, 690 days
192.5
DO23511
83 years, female, NA, stage:3, dead, 180 days
192.0
DO227801
77 years, female, NA, stage:1, alive, 660 days
191.8
DO45094
76 years, male, NA, stage:3, alive, 1650 days
191.1
DO50800
74 years, male, NA, stage:2, alive, 510 days
189.5
DO50850
74 years, male, NA, stage:3, alive, 720 days
188.9
DO45137
38 years, male, NA, stage:1, alive, 1320 days
188.5
DO23518
67 years, male, NA, stage:2, alive, 1320 days
187.9
DO48759
73 years, male, NA, stage:3, alive, 720 days
187.6
DO48725
66 years, male, NA, stage:1, alive, 780 days
186.0
DO48743
69 years, female, NA, stage:2, alive, 570 days
183.0
DO23546
63 years, male, NA, stage:2, alive, 1050 days
182.0
DO45135
77 years, male, NA, stage:1, alive, 1410 days
180.9
DO50809
56 years, male, NA, stage:3, dead, 720 days
179.6
DO48723
73 years, male, NA, stage:1, alive, 600 days
178.5
DO23529
72 years, male, NA, stage:4, alive, 930 days
178.4
DO45183
72 years, female, NA, stage:2, dead, 570 days
178.1
DO45141
73 years, male, NA, stage:2, alive, 1320 days
177.9
DO48721
58 years, female, NA, stage:1, alive, 900 days
177.6
DO45096
69 years, male, NA, stage:2, dead, 1290 days
177.5
DO45155
69 years, male, NA, stage:2, alive, 2160 days
176.6
DO23545
67 years, male, NA, stage:2, dead, 570 days
176.6
DO45115
81 years, male, NA, stage:2, alive, 840 days
176.2
DO45187
32 years, female, NA, stage:1, alive, 1260 days
176.1
DO23515
71 years, male, NA, stage:2, alive, 1230 days
175.4
DO45159
65 years, male, NA, stage:3, alive, 1470 days
175.4
DO45223
67 years, male, NA, stage:4, alive, 1020 days
175.3
DO50789
73 years, female, NA, stage:2, alive, 570 days
175.0
DO50807
67 years, male, NA, stage:1, alive, 540 days
173.6
DO45203
71 years, female, NA, stage:2, alive, 1170 days
173.6
DO23551
73 years, male, NA, stage:3, dead, 150 days
172.0
DO23536
56 years, male, NA, stage:2, alive, 930 days
171.0
DO45157
62 years, male, NA, stage:2, alive, 1980 days
168.8
DO45127
73 years, male, NA, stage:3, dead, 420 days
167.4
DO48736
76 years, female, NA, stage:1, alive, 600 days
167.3
DO48720
62 years, female, NA, stage:2, alive, 570 days
166.2
DO45153
77 years, female, NA, stage:2, alive, 1380 days
165.6
DO45265
73 years, male, NA, stage:3, alive, 1020 days
165.3
DO45221
75 years, female, NA, stage:4, dead, 390 days
164.8
DO45251
57 years, female, NA, stage:2, alive, 900 days
164.2
DO50774
68 years, female, NA, stage:2, alive, 720 days
164.0
DO45111
74 years, male, NA, stage:2, alive, 1590 days
163.6
DO23543
63 years, male, NA, stage:2, alive, 1020 days
163.5
DO45207
68 years, male, NA, stage:1, alive, 1050 days
161.3
DO45219
78 years, male, NA, stage:2, alive, 1080 days
157.7
DO45129
61 years, male, NA, stage:3, alive, 1470 days
156.8
DO23552
80 years, female, NA, stage:1, alive, 810 days
156.7
DO23523
52 years, male, NA, stage:3, alive, 1080 days
156.6
DO48704
68 years, female, NA, stage:3, alive, 750 days
155.5
DO23530
53 years, male, NA, stage:4, dead, 180 days
154.7
DO23514
64 years, male, NA, stage:2, alive, 1290 days
154.3
DO45307
54 years, female, NA, stage:4, dead, 240 days
152.6
DO45121
61 years, male, NA, stage:3, alive, 1530 days
152.6
DO45097
69 years, male, NA, stage:3, alive, 1620 days
151.2
DO48672
81 years, male, NA, stage:2, alive, 450 days
150.8
DO50857
72 years, male, NA, stage:2, alive, 210 days
150.5
DO48706
72 years, male, NA, stage:2, alive, 870 days
150.2
DO45195
62 years, male, NA, stage:1, alive, 390 days
148.8
DO45179
78 years, female, NA, stage:2, alive, 600 days
148.2
DO45213
58 years, male, NA, stage:1, alive, 1200 days
146.0
DO50822
66 years, male, NA, stage:2, alive, 510 days
145.3
DO45123
78 years, female, NA, stage:2, dead, 570 days
145.3
DO45253
50 years, male, NA, stage:2, alive, 870 days
145.3
DO50785
37 years, male, NA, stage:4, dead, 90 days
145.2
DO50787
63 years, male, NA, stage:3, alive, 480 days
144.3
DO45113
58 years, male, NA, stage:3, alive, 1560 days
143.8
DO48751
68 years, male, NA, stage:2, dead, 480 days
143.7
DO45131
53 years, male, NA, stage:4, dead, 360 days
143.2
DO23517
62 years, male, NA, stage:2, alive, 1200 days
141.1
DO45279
67 years, male, NA, stage:3, alive, 1290 days
140.6
DO50799
66 years, female, NA, stage:2, alive, 540 days
139.9
DO48761
55 years, male, NA, stage:2, alive, 870 days
139.6
DO45117
73 years, female, NA, stage:2, dead, 1110 days
138.9
DO45211
76 years, male, NA, stage:3, alive, 240 days
137.8
DO45257
46 years, male, NA, stage:3, alive, 810 days
137.2
DO23527
72 years, male, NA, stage:1, alive, 1050 days
135.2
DO45269
59 years, male, NA, stage:3, alive, 750 days
134.3
DO48700
78 years, female, NA, stage:2, alive, 810 days
134.2
DO45171
56 years, male, NA, stage:3, alive, 600 days
134.2
DO23541
65 years, male, NA, stage:2, alive, 930 days
132.7
DO50855
47 years, male, NA, stage:2, alive, 570 days
132.6
DO45165
75 years, male, NA, stage:2, alive, 690 days
132.4
DO45259
65 years, male, NA, stage:3, alive, 330 days
130.9
DO48695
77 years, male, NA, stage:2, alive, 720 days
129.7
DO48716
71 years, male, NA, stage:2, alive, 720 days
127.9
DO45227
57 years, female, NA, stage:2, alive, 1020 days
127.9
DO45199
86 years, female, NA, stage:2, alive, 1350 days
127.7
DO48757
68 years, female, NA, stage:3, alive, 480 days
127.7
DO48742
76 years, male, NA, stage:2, alive, 600 days
127.3
DO45247
31 years, female, NA, stage:2, alive, 210 days
126.6
DO48727
81 years, female, NA, stage:2, dead, 390 days
126.3
DO45225
69 years, male, NA, stage:1, alive, 1050 days
125.9
DO45233
83 years, male, NA, stage:3, alive, 900 days
125.7
DO48741
64 years, male, NA, stage:3, alive, 240 days
125.2
DO50804
81 years, male, NA, stage:2, alive, 720 days
125.0
DO45263
67 years, male, NA, stage:3, dead, 270 days
124.5
DO48679
72 years, male, NA, stage:2, alive, 1200 days
124.1
DO45235
68 years, female, NA, stage:1, alive, 900 days
123.3
DO45093
71 years, male, NA, stage:2, dead, 720 days
122.5
DO45177
81 years, female, NA, stage:3, alive, 1260 days
122.4
DO45181
84 years, female, NA, stage:2, alive, 1200 days
122.2
DO23524
71 years, female, NA, stage:2, alive, 1050 days
121.5
DO23521
63 years, male, NA, stage:3, alive, 1110 days
119.9
DO45275
65 years, male, NA, stage:3, dead, 10 days
119.7
DO23537
79 years, male, NA, stage:2, dead, 900 days
119.2
DO45169
74 years, male, NA, stage:3, alive, 1350 days
119.1
DO45197
51 years, male, NA, stage:2, alive, 1170 days
118.4
DO23538
67 years, male, NA, stage:2, alive, 450 days
117.7
DO23528
45 years, female, NA, stage:2, alive, 1020 days
112.3
DO45175
74 years, male, NA, stage:2, alive, 1140 days
110.3
DO23542
66 years, male, NA, stage:3, alive, 960 days
109.2
DO48677
58 years, male, NA, stage:3, alive, 1140 days
106.3
DO50820
77 years, female, NA, stage:3, alive, 510 days
104.2
DO45163
76 years, male, NA, stage:2, alive, 960 days
104.1
DO45189
85 years, female, NA, stage:2, alive, 1200 days
101.9
DO50803
62 years, female, NA, stage:1, alive, 540 days
101.8
DO23531
78 years, female, NA, stage:3, alive, 900 days
101.1
DO45201
49 years, male, NA, stage:1, alive, 900 days
100.2
DO48746
76 years, male, NA, stage:3, alive, 570 days
96.3
DO50859
77 years, male, NA, stage:2, alive, 180 days
96.2
DO45261
74 years, male, NA, stage:3, alive, 990 days
92.4
DO45193
68 years, female, NA, stage:4, dead, 120 days
79.4
DO45119
74 years, male, NA, stage:3, dead, 510 days
74.3
DO45239
42 years, male, NA, stage:2, alive, 870 days
65.5
DO23509
60 years, male, NA, stage:3, dead, 780 days
61.3
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
813
Tumor
1.1
745
Tumor
0.9
878
Normal
0.8
857
Tumor
0.7
554
Normal
0.7
955
Tumor
0.7
223
Tumor
0.6
814
Normal
0.6
1014
Normal
0.6
227
Tumor
0.6
938
Normal
0.6
744
Normal
0.6
746
Normal
0.6
862
Normal
0.6
866
Normal
0.6
128
Normal
0.6
944
Normal
0.5
412
Normal
0.5
922
Normal
0.5
426
Normal
0.5
484
Normal
0.5
636
Normal
0.5
816
Normal
0.5
615
Tumor
0.5
572
Normal
0.5
1022
Normal
0.5
981
Tumor
0.5
738
Normal
0.5
742
Normal
0.5
342
Normal
0.5
698
Normal
0.5
376
Normal
0.5
778
Normal
0.5
431
Tumor
0.5
568
Normal
0.5
984
Normal
0.5
448
Normal
0.5
142
Normal
0.4
534
Normal
0.4
527
Tumor
0.4
1043
Tumor
0.4
546
Normal
0.4
714
Normal
0.4
1026
Normal
0.4
648
Normal
0.4
952
Normal
0.4
852
Normal
0.4
786
Normal
0.4
966
Normal
0.4
686
Normal
0.4
111
Normal
0.4
873
Tumor
0.4
635
Tumor
0.4
392
Normal
0.4
616
Normal
0.4
851
Tumor
0.4
968
Normal
0.3
956
Normal
0.3
452
Normal
0.3
488
Normal
0.3
864
Normal
0.3
696
Normal
0.3
538
Normal
0.3
466
Normal
0.3
1044
Normal
0.3
824
Normal
0.3
388
Normal
0.3
436
Normal
0.3
716
Normal
0.3
924
Normal
0.3
494
Normal
0.3
958
Normal
0.3
112
Tumor
0.3
558
Normal
0.3
755
Tumor
0.3
481
Tumor
0.3
723
Tumor
0.3
1032
Normal
0.3
462
Normal
0.3
356
Normal
0.3
196
Normal
0.3
818
Normal
0.3
114
Normal
0.3
228
Normal
0.3
882
Normal
0.3
982
Normal
0.3
756
Normal
0.3
923
Tumor
0.3
727
Tumor
0.2
492
Normal
0.2
435
Tumor
0.2
358
Normal
0.2
536
Normal
0.2
954
Normal
0.2
1027
Tumor
0.2
858
Normal
0.2
124
Normal
0.2
127
Tumor
0.2
232
Normal
0.2
564
Normal
0.2
298
Normal
0.2
918
Normal
0.2
868
Normal
0.2
148
Normal
0.2
728
Normal
0.2
916
Normal
0.2
137
Tumor
0.2
914
Normal
0.2
628
Normal
0.2
618
Normal
0.2
474
Normal
0.2
362
Normal
0.2
926
Normal
0.2
915
Tumor
0.2
482
Normal
0.2
368
Normal
0.2
132
Normal
0.2
354
Normal
0.2
364
Normal
0.2
518
Normal
0.2
286
Normal
0.2
422
Normal
0.2
186
Normal
0.2
722
Normal
0.1
516
Normal
0.1
472
Normal
0.1
332
Normal
0.1
1028
Normal
0.1
341
Tumor
0.1
526
Normal
0.1
528
Normal
0.1
468
Normal
0.1
394
Normal
0.1
1016
Normal
0.1
662
Normal
0.1
524
Normal
0.1
695
Tumor
0.1
284
Normal
0.1
721
Tumor
0.1
432
Normal
0.1
278
Normal
0.1
976
Normal
0.1
487
Tumor
0.1
664
Normal
0.1
741
Tumor
0.1
212
Normal
0.1
411
Tumor
0.1
352
Normal
0.1
357
Tumor
0.1
863
Tumor
0.1
414
Normal
0.1
815
Tumor
0.1
913
Tumor
0.1
514
Normal
0.1
261
Tumor
0.1
446
Normal
0.1
642
Normal
0.1
697
Tumor
0.1
478
Normal
0.1
964
Normal
0.1
172
Normal
0.1
344
Normal
0.1
978
Normal
0.1
647
Tumor
0.1
912
Normal
0.0
861
Tumor
0.0
424
Normal
0.0
1042
Normal
0.0
874
Normal
0.0
1021
Tumor
0.0
138
Normal
0.0
258
Normal
0.0
925
Tumor
0.0
366
Normal
0.0
214
Normal
0.0
823
Tumor
0.0
328
Normal
0.0
498
Normal
0.0
314
Normal
0.0
672
Normal
0.0
574
Normal
0.0
911
Tumor
0.0
937
Tumor
0.0
464
Normal
0.0
665
Tumor
0.0
218
Normal
0.0
262
Normal
0.0
428
Normal
0.0
963
Tumor
0.0
222
Normal
0.0
785
Tumor
0.0
1015
Tumor
0.0
162
Normal
0.0
1046
Normal
0.0
456
Normal
0.0
396
Normal
0.0
713
Tumor
0.0
1025
Tumor
-0.1
737
Tumor
-0.1
777
Tumor
-0.1
384
Normal
-0.1
557
Tumor
-0.1
272
Normal
-0.1
136
Normal
-0.1
353
Tumor
-0.1
224
Normal
-0.1
513
Tumor
-0.1
553
Tumor
-0.1
126
Normal
-0.1
666
Normal
-0.1
967
Tumor
-0.1
523
Tumor
-0.1
415
Tumor
-0.1
465
Tumor
-0.1
146
Normal
-0.1
443
Tumor
-0.1
363
Tumor
-0.1
867
Tumor
-0.1
537
Tumor
-0.1
515
Tumor
-0.1
1013
Tumor
-0.1
145
Tumor
-0.1
444
Normal
-0.2
535
Tumor
-0.2
416
Normal
-0.2
413
Tumor
-0.2
1045
Tumor
-0.2
617
Tumor
-0.2
865
Tumor
-0.2
445
Tumor
-0.2
312
Normal
-0.2
563
Tumor
-0.2
434
Normal
-0.2
386
Normal
-0.2
387
Tumor
-0.2
715
Tumor
-0.2
517
Tumor
-0.2
463
Tumor
-0.2
977
Tumor
-0.2
917
Tumor
-0.2
943
Tumor
-0.3
135
Tumor
-0.3
147
Tumor
-0.3
451
Tumor
-0.3
217
Tumor
-0.3
423
Tumor
-0.3
355
Tumor
-0.3
817
Tumor
-0.3
447
Tumor
-0.3
627
Tumor
-0.3
467
Tumor
-0.3
1041
Tumor
-0.3
365
Tumor
-0.3
421
Tumor
-0.3
663
Tumor
-0.3
884
Normal
-0.4
571
Tumor
-0.4
921
Tumor
-0.4
268
Normal
-0.4
313
Tumor
-0.4
187
Tumor
-0.4
285
Tumor
-0.4
433
Tumor
-0.4
188
Normal
-0.4
393
Tumor
-0.4
361
Tumor
-0.4
327
Tumor
-0.4
185
Tumor
-0.4
113
Tumor
-0.4
385
Tumor
-0.5
161
Tumor
-0.5
491
Tumor
-0.5
1031
Tumor
-0.5
297
Tumor
-0.5
477
Tumor
-0.5
455
Tumor
-0.5
195
Tumor
-0.5
471
Tumor
-0.5
975
Tumor
-0.5
461
Tumor
-0.5
573
Tumor
-0.5
131
Tumor
-0.5
343
Tumor
-0.5
641
Tumor
-0.5
277
Tumor
-0.5
497
Tumor
-0.5
743
Tumor
-0.5
171
Tumor
-0.6
951
Tumor
-0.6
685
Tumor
-0.6
211
Tumor
-0.6
427
Tumor
-0.6
351
Tumor
-0.6
383
Tumor
-0.6
311
Tumor
-0.6
425
Tumor
-0.6
257
Tumor
-0.6
123
Tumor
-0.6
267
Tumor
-0.6
533
Tumor
-0.6
271
Tumor
-0.7
983
Tumor
-0.7
192
Normal
-0.7
191
Tumor
-0.7
661
Tumor
-0.7
483
Tumor
-0.7
883
Tumor
-0.7
141
Tumor
-0.7
473
Tumor
-0.7
545
Tumor
-0.7
331
Tumor
-0.8
493
Tumor
-0.8
125
Tumor
-0.8
525
Tumor
-0.8
395
Tumor
-0.8
391
Tumor
-0.8
877
Tumor
-0.8
881
Tumor
-0.8
375
Tumor
-0.8
221
Tumor
-0.9
367
Tumor
-0.9
671
Tumor
-0.9
724
Normal
-0.9
283
Tumor
-0.9
957
Tumor
-1.0
213
Tumor
-1.0
567
Tumor
-1.0
231
Tumor
-1.0
953
Tumor
-1.1
965
Tumor
-1.2
Show allShow less
LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
