Expression of APOE in glioma - The Human Protein Atlas

We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.

Search result

Field

Pathway

HELP

NEWS

APOE

SUMMARY

TISSUE

CELL TYPE

PATHOLOGY

BRAIN

BLOOD

CELL

GLIOMA - Interactive survival scatter plotⁱ

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

APOE is not prognostic in glioma

Stage:

Survival analysis

Current cut offⁱ:
Best expression cut offⁱ: 740.56
Median expressionⁱ: N/A
Median follow up timeⁱ: N/A
P scoreⁱ N/A
3-year survival highⁱ N/A
3-year survival lowⁱ N/A

TCGA RNA samplesⁱ

Average FPKM

781.3

Number of samples

153

Samples

Sample	Description	FPKM
TCGA-12-5295-01A	60 years, female, white, dead, 454 days	3338.1
TCGA-27-2526-01A	79 years, female, white, dead, 87 days	2716.6
TCGA-26-1442-01A	43 years, male, white, alive, 953 days	2608.6
TCGA-06-2557-01A	76 years, male, black or african american, dead, 33 days	2588.3
TCGA-16-0846-01A	85 years, male, white, dead, 119 days	2242.2
TCGA-06-0139-01A	40 years, male, white, dead, 362 days	1872.6
TCGA-41-2572-01A	67 years, male, white, dead, 406 days	1779.9
TCGA-15-1444-01A	21 years, male, white, dead, 1537 days	1752.1
TCGA-06-0749-01A	50 years, male, black or african american, dead, 82 days	1742.7
TCGA-06-5859-01A	63 years, male, white, alive, 139 days	1524.8
TCGA-26-5134-01A	74 years, male, white, alive, 167 days	1516.7
TCGA-28-1753-01A	53 years, male, white, alive, 37 days	1499.9
TCGA-06-5410-01A	72 years, female, white, dead, 108 days	1427.2
TCGA-02-2486-01A	64 years, male, white, dead, 618 days	1424.0
TCGA-28-5208-01A	52 years, male, white, dead, 544 days	1370.1
TCGA-32-2632-01A	80 years, male, white, dead, 269 days	1346.9
TCGA-06-0156-01A	57 years, male, white, dead, 178 days	1267.3
TCGA-06-0168-01A	59 years, female, white, dead, 598 days	1246.8
TCGA-32-2616-01A	48 years, female, white, dead, 224 days	1230.2
TCGA-06-0184-01A	63 years, male, white, dead, 2126 days	1191.1
TCGA-27-1835-01A	53 years, female, white, dead, 648 days	1127.8
TCGA-06-0744-01A	67 years, male, white, dead, 1426 days	1114.9
TCGA-06-0130-01A	54 years, male, white, dead, 394 days	1110.5
TCGA-28-2513-01A	69 years, female, white, alive, 222 days	1108.2
TCGA-76-4929-01A	76 years, female, white, dead, 111 days	1106.8
TCGA-28-5216-01A	52 years, male, white, alive, 415 days	1101.1
TCGA-28-1747-01C	44 years, male, white, dead, 77 days	1063.1
TCGA-12-3653-01A	34 years, female, white, dead, 442 days	1059.2
TCGA-19-1787-01B	49 years, male, white, dead, 385 days	1044.4
TCGA-76-4932-01A	50 years, female, white, dead, 1458 days	1038.0
TCGA-06-0743-01A	69 years, male, white, dead, 803 days	1024.8
TCGA-32-4213-01A	47 years, female, white, alive, 604 days	1017.5
TCGA-06-5413-01A	67 years, male, white, alive, 268 days	985.1
TCGA-26-5133-01A	59 years, male, white, alive, 452 days	980.5
TCGA-06-0132-01A	49 years, male, white, dead, 771 days	959.7
TCGA-06-5418-01A	75 years, female, white, dead, 83 days	950.6
TCGA-28-5213-01A	72 years, male, white, alive, 951 days	947.9
TCGA-06-0157-01A	63 years, female, white, dead, 97 days	914.1
TCGA-06-0238-01A	46 years, male, white, dead, 405 days	907.2
TCGA-27-2521-01A	34 years, male, white, dead, 510 days	904.8
TCGA-41-3915-01A	48 years, male, white, dead, 360 days	894.7
TCGA-14-0817-01A	69 years, female, white, dead, 164 days	880.4
TCGA-06-0190-01A	62 years, male, white, dead, 317 days	866.5
TCGA-27-2519-01A	48 years, male, white, dead, 550 days	863.7
TCGA-26-5136-01B	78 years, female, white, dead, 577 days	851.0
TCGA-06-0645-01A	56 years, female, white, dead, 175 days	846.3
TCGA-14-0790-01B	64 years, female, white, dead, 419 days	836.2
TCGA-06-0686-01A	53 years, male, white, dead, 432 days	833.3
TCGA-06-0646-01A	61 years, male, white, dead, 175 days	825.2
TCGA-16-1045-01B	49 years, female, white, dead, 883 days	816.6
TCGA-76-4928-01B	85 years, female, white, dead, 94 days	808.5
TCGA-06-0745-01A	59 years, male, white, dead, 239 days	800.9
TCGA-19-2629-01A	60 years, male, white, dead, 737 days	786.2
TCGA-02-0047-01A	78 years, male, white, dead, 448 days	785.8
TCGA-06-0649-01B	73 years, female, black or african american, dead, 64 days	785.7
TCGA-27-1834-01A	56 years, male, white, dead, 1233 days	785.4
TCGA-06-0750-01A	43 years, male, white, dead, 28 days	773.3
TCGA-06-0129-01A	30 years, male, asian, dead, 1024 days	773.2
TCGA-06-0178-01A	39 years, male, white, dead, 2681 days	765.8
TCGA-76-4931-01A	70 years, female, white, dead, 279 days	758.4
TCGA-32-2634-01A	82 years, male, white, alive, 693 days	753.6
TCGA-12-1597-01B	62 years, female, white, dead, 675 days	741.3
TCGA-26-5135-01A	72 years, female, white, dead, 270 days	739.8
TCGA-06-0158-01A	73 years, male, white, dead, 329 days	738.8
TCGA-06-0141-01A	62 years, male, white, dead, 313 days	738.1
TCGA-27-1830-01A	57 years, male, white, dead, 154 days	737.1
TCGA-19-2625-01A	76 years, female, white, dead, 124 days	734.4
TCGA-06-0187-01A	69 years, male, white, dead, 828 days	730.6
TCGA-28-5215-01A	62 years, female, white, dead, 335 days	728.4
TCGA-06-5414-01A	61 years, male, white, alive, 273 days	718.2
TCGA-32-2638-01A	67 years, male, white, dead, 766 days	717.4
TCGA-12-3650-01A	46 years, male, white, dead, 333 days	712.7
TCGA-32-5222-01A	66 years, male, white, dead, 585 days	710.1
TCGA-12-0618-01A	49 years, male, white, dead, 395 days	709.4
TCGA-06-2558-01A	75 years, female, white, dead, 380 days	704.7
TCGA-76-4927-01A	58 years, male, white, dead, 535 days	694.3
TCGA-14-0781-01B	49 years, male, black or african american, dead, 29 days	681.5
TCGA-06-5412-01A	78 years, female, white, dead, 138 days	677.5
TCGA-28-5220-01A	67 years, male, white, dead, 388 days	676.8
TCGA-14-0787-01A	69 years, male, asian, dead, 68 days	676.7
TCGA-27-1837-01A	36 years, male, white, dead, 427 days	671.5
TCGA-19-2620-01A	70 years, male, white, dead, 148 days	655.2
TCGA-06-2570-01A	21 years, female, white, alive, 958 days	653.4
TCGA-19-4065-01A	36 years, male, white, alive, 214 days	645.7
TCGA-32-1980-01A	72 years, male, white, dead, 36 days	640.6
TCGA-06-0210-01A	72 years, female, white, dead, 225 days	637.0
TCGA-06-2567-01A	65 years, male, white, dead, 133 days	634.8
TCGA-12-3652-01A	60 years, male, white, dead, 1062 days	632.3
TCGA-02-2485-01A	53 years, male, black or african american, alive, 470 days	627.7
TCGA-12-0821-01A	62 years, male, white, dead, 323 days	626.6
TCGA-12-0616-01A	36 years, female, white, dead, 448 days	616.5
TCGA-32-1982-01A	76 years, female, white, dead, 142 days	614.9
TCGA-06-0211-01B	47 years, male, white, dead, 360 days	614.7
TCGA-27-1831-01A	66 years, male, white, dead, 505 days	611.5
TCGA-06-0882-01A	30 years, male, white, dead, 632 days	608.1
TCGA-28-2499-01A	59 years, male, white, dead, 95 days	603.4
TCGA-12-5299-01A	56 years, female, white, dead, 98 days	599.6
TCGA-28-5204-01A	72 years, male, white, dead, 454 days	598.7
TCGA-19-5960-01A	56 years, male, white, dead, 455 days	576.7
TCGA-06-0878-01A	74 years, male, white, alive, 218 days	550.9
TCGA-06-5856-01A	58 years, male, white, dead, 114 days	546.0
TCGA-14-2554-01A	52 years, female, white, dead, 532 days	544.8
TCGA-06-5411-01A	51 years, male, white, dead, 254 days	538.2
TCGA-19-2624-01A	51 years, male, white, dead, 5 days	533.1
TCGA-06-2559-01A	83 years, male, white, dead, 150 days	530.4
TCGA-06-0138-01A	43 years, male, white, dead, 737 days	528.2
TCGA-27-2524-01A	56 years, male, white, dead, 231 days	519.2
TCGA-06-2565-01A	59 years, male, asian, dead, 506 days	518.3
TCGA-12-0619-01A	60 years, male, white, dead, 1062 days	503.1
TCGA-27-2523-01A	63 years, male, white, dead, 489 days	500.7
TCGA-27-2528-01A	62 years, male, white, dead, 480 days	499.9
TCGA-02-2483-01A	43 years, male, asian, alive, 466 days	498.9
TCGA-02-0055-01A	62 years, female, white, dead, 76 days	496.0
TCGA-14-0789-01A	54 years, male, white, dead, 342 days	493.3
TCGA-06-0219-01A	67 years, male, white, dead, 22 days	491.5
TCGA-26-5132-01A	74 years, male, white, alive, 286 days	478.6
TCGA-27-1832-01A	59 years, female, white, dead, 300 days	475.5
TCGA-06-2562-01A	81 years, male, white, dead, 382 days	464.1
TCGA-41-4097-01A	63 years, female, white, dead, 6 days	458.4
TCGA-06-2564-01A	50 years, male, white, alive, 181 days	456.1
TCGA-28-5207-01A	71 years, male, white, dead, 343 days	446.8
TCGA-32-1970-01A	59 years, male, white, dead, 468 days	438.4
TCGA-06-2561-01A	53 years, female, white, dead, 537 days	430.5
TCGA-14-1825-01A	70 years, male, white, dead, 232 days	420.6
TCGA-14-1823-01A	58 years, female, white, dead, 543 days	417.8
TCGA-06-0644-01A	71 years, male, black or african american, dead, 384 days	414.7
TCGA-06-0747-01A	53 years, male, white, dead, 82 days	396.4
TCGA-32-2615-01A	62 years, male, white, dead, 485 days	395.1
TCGA-15-0742-01A	65 years, male, white, dead, 419 days	389.7
TCGA-14-1829-01A	57 years, male, black or african american, alive, 218 days	373.3
TCGA-28-2514-01A	45 years, male, asian, alive, 160 days	368.4
TCGA-06-5417-01A	45 years, female, white, alive, 155 days	366.4
TCGA-06-5408-01A	54 years, female, white, dead, 357 days	355.5
TCGA-41-5651-01A	59 years, female, black or african american, dead, 460 days	350.4
TCGA-41-2571-01A	89 years, male, white, dead, 26 days	325.1
TCGA-76-4925-01A	76 years, male, white, dead, 146 days	317.7
TCGA-28-5209-01A	66 years, female, white, alive, 77 days	314.0
TCGA-06-0125-01A	63 years, female, white, dead, 1448 days	313.6
TCGA-06-2563-01A	72 years, female, white, alive, 932 days	305.7
TCGA-06-5858-01A	45 years, female, white, alive, 187 days	298.5
TCGA-06-1804-01A	81 years, female, white, dead, 414 days	280.7
TCGA-19-2619-01A	55 years, female, black or african american, alive, 294 days	262.7
TCGA-76-4926-01B	68 years, male, white, dead, 138 days	258.9
TCGA-06-0174-01A	54 years, male, white, dead, 98 days	257.7
TCGA-08-0386-01A	74 years, male, white, dead, 548 days	254.3
TCGA-14-1034-01A	60 years, female, dead, 485 days	248.2
TCGA-19-1390-01A	63 years, female, white, dead, 772 days	241.5
TCGA-26-5139-01A	65 years, female, white, alive, 48 days	232.2
TCGA-28-5218-01A	63 years, male, white, dead, 157 days	214.9
TCGA-06-5416-01A	23 years, female, white, alive, 204 days	175.4
TCGA-28-2509-01A	77 years, female, white, alive, 145 days	168.4
TCGA-14-0871-01A	75 years, female, white, dead, 880 days	133.8
TCGA-06-2569-01A	24 years, female, black or african american, alive, 13 days	80.0
Show allShow less

GLIOMA - 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. This score is based on the staining intensity and fraction of stained cells. Read more	Antibody HPA065539	Antibody HPA068768	Antibody CAB008363	Antibody CAB069921
Staining
High
Medium
Low
Not detected
Intensity
Strong
Moderate
Weak
Negative
Quantity
>75%
75%-25%
<25%
None
Location
Nuclear
Cytoplasmic/membranous
Cytoplasmic/membranous,nuclear
None
Click images for details

Contact

contact@proteinatlas.org

The Project

The Human Protein Atlas

The Human Protein Atlas project is funded
by the Knut & Alice Wallenberg Foundation.