Expression of ERI3 in glioma - The Human Protein Atlas

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ERI3

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TISSUE

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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

ERI3 is not prognostic in glioma

Stage:

Survival analysis

Current cut offⁱ:
Best expression cut offⁱ: 46.34
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

43.4

Number of samples

153

Samples

Sample	Description	FPKM
TCGA-06-0219-01A	67 years, male, white, dead, 22 days	92.0
TCGA-06-0178-01A	39 years, male, white, dead, 2681 days	81.5
TCGA-12-5295-01A	60 years, female, white, dead, 454 days	78.2
TCGA-06-0745-01A	59 years, male, white, dead, 239 days	75.9
TCGA-12-3650-01A	46 years, male, white, dead, 333 days	73.3
TCGA-12-3652-01A	60 years, male, white, dead, 1062 days	72.8
TCGA-14-0817-01A	69 years, female, white, dead, 164 days	71.2
TCGA-19-2625-01A	76 years, female, white, dead, 124 days	70.3
TCGA-12-0616-01A	36 years, female, white, dead, 448 days	67.2
TCGA-32-5222-01A	66 years, male, white, dead, 585 days	65.7
TCGA-14-1034-01A	60 years, female, dead, 485 days	64.8
TCGA-28-5220-01A	67 years, male, white, dead, 388 days	63.5
TCGA-06-0749-01A	50 years, male, black or african american, dead, 82 days	60.9
TCGA-14-1829-01A	57 years, male, black or african american, alive, 218 days	60.7
TCGA-14-1825-01A	70 years, male, white, dead, 232 days	60.5
TCGA-06-0649-01B	73 years, female, black or african american, dead, 64 days	58.7
TCGA-06-5411-01A	51 years, male, white, dead, 254 days	57.9
TCGA-28-2499-01A	59 years, male, white, dead, 95 days	56.3
TCGA-06-5856-01A	58 years, male, white, dead, 114 days	56.0
TCGA-28-5216-01A	52 years, male, white, alive, 415 days	55.1
TCGA-06-5413-01A	67 years, male, white, alive, 268 days	54.7
TCGA-27-2526-01A	79 years, female, white, dead, 87 days	54.0
TCGA-06-5416-01A	23 years, female, white, alive, 204 days	53.7
TCGA-76-4929-01A	76 years, female, white, dead, 111 days	53.6
TCGA-27-1831-01A	66 years, male, white, dead, 505 days	53.5
TCGA-06-0138-01A	43 years, male, white, dead, 737 days	53.2
TCGA-27-2521-01A	34 years, male, white, dead, 510 days	52.2
TCGA-06-0686-01A	53 years, male, white, dead, 432 days	51.2
TCGA-41-2571-01A	89 years, male, white, dead, 26 days	51.0
TCGA-06-0238-01A	46 years, male, white, dead, 405 days	50.8
TCGA-06-0184-01A	63 years, male, white, dead, 2126 days	50.5
TCGA-08-0386-01A	74 years, male, white, dead, 548 days	50.2
TCGA-12-1597-01B	62 years, female, white, dead, 675 days	50.1
TCGA-12-0821-01A	62 years, male, white, dead, 323 days	49.4
TCGA-28-5208-01A	52 years, male, white, dead, 544 days	49.0
TCGA-06-5859-01A	63 years, male, white, alive, 139 days	48.9
TCGA-76-4932-01A	50 years, female, white, dead, 1458 days	48.7
TCGA-32-4213-01A	47 years, female, white, alive, 604 days	48.4
TCGA-32-2634-01A	82 years, male, white, alive, 693 days	48.0
TCGA-28-2509-01A	77 years, female, white, alive, 145 days	48.0
TCGA-28-5213-01A	72 years, male, white, alive, 951 days	47.9
TCGA-15-0742-01A	65 years, male, white, dead, 419 days	47.9
TCGA-12-0618-01A	49 years, male, white, dead, 395 days	47.9
TCGA-06-0882-01A	30 years, male, white, dead, 632 days	47.6
TCGA-26-5133-01A	59 years, male, white, alive, 452 days	47.3
TCGA-12-3653-01A	34 years, female, white, dead, 442 days	46.7
TCGA-06-0744-01A	67 years, male, white, dead, 1426 days	46.6
TCGA-32-1970-01A	59 years, male, white, dead, 468 days	46.5
TCGA-19-2629-01A	60 years, male, white, dead, 737 days	46.3
TCGA-14-0787-01A	69 years, male, asian, dead, 68 days	46.3
TCGA-27-2519-01A	48 years, male, white, dead, 550 days	46.2
TCGA-27-2524-01A	56 years, male, white, dead, 231 days	46.1
TCGA-06-0750-01A	43 years, male, white, dead, 28 days	46.0
TCGA-28-5207-01A	71 years, male, white, dead, 343 days	45.8
TCGA-06-0157-01A	63 years, female, white, dead, 97 days	45.7
TCGA-06-0646-01A	61 years, male, white, dead, 175 days	45.5
TCGA-06-0211-01B	47 years, male, white, dead, 360 days	45.5
TCGA-32-1980-01A	72 years, male, white, dead, 36 days	45.5
TCGA-06-0141-01A	62 years, male, white, dead, 313 days	45.5
TCGA-32-1982-01A	76 years, female, white, dead, 142 days	45.4
TCGA-26-5134-01A	74 years, male, white, alive, 167 days	45.3
TCGA-27-2523-01A	63 years, male, white, dead, 489 days	45.0
TCGA-26-5132-01A	74 years, male, white, alive, 286 days	44.9
TCGA-14-0790-01B	64 years, female, white, dead, 419 days	44.8
TCGA-06-0174-01A	54 years, male, white, dead, 98 days	44.5
TCGA-27-1835-01A	53 years, female, white, dead, 648 days	44.3
TCGA-06-0168-01A	59 years, female, white, dead, 598 days	44.1
TCGA-28-1747-01C	44 years, male, white, dead, 77 days	44.0
TCGA-06-0187-01A	69 years, male, white, dead, 828 days	44.0
TCGA-06-0132-01A	49 years, male, white, dead, 771 days	43.8
TCGA-06-2558-01A	75 years, female, white, dead, 380 days	43.7
TCGA-06-2567-01A	65 years, male, white, dead, 133 days	43.3
TCGA-19-1787-01B	49 years, male, white, dead, 385 days	42.9
TCGA-06-0156-01A	57 years, male, white, dead, 178 days	42.6
TCGA-76-4931-01A	70 years, female, white, dead, 279 days	42.4
TCGA-14-2554-01A	52 years, female, white, dead, 532 days	42.2
TCGA-06-2563-01A	72 years, female, white, alive, 932 days	41.8
TCGA-02-2483-01A	43 years, male, asian, alive, 466 days	41.7
TCGA-28-2514-01A	45 years, male, asian, alive, 160 days	41.7
TCGA-76-4926-01B	68 years, male, white, dead, 138 days	41.7
TCGA-06-5417-01A	45 years, female, white, alive, 155 days	41.6
TCGA-41-2572-01A	67 years, male, white, dead, 406 days	41.5
TCGA-06-2557-01A	76 years, male, black or african american, dead, 33 days	41.5
TCGA-06-5408-01A	54 years, female, white, dead, 357 days	41.3
TCGA-41-5651-01A	59 years, female, black or african american, dead, 460 days	41.3
TCGA-06-0743-01A	69 years, male, white, dead, 803 days	41.0
TCGA-28-5215-01A	62 years, female, white, dead, 335 days	40.9
TCGA-06-2565-01A	59 years, male, asian, dead, 506 days	40.8
TCGA-19-5960-01A	56 years, male, white, dead, 455 days	40.8
TCGA-41-3915-01A	48 years, male, white, dead, 360 days	40.7
TCGA-76-4925-01A	76 years, male, white, dead, 146 days	39.9
TCGA-32-2616-01A	48 years, female, white, dead, 224 days	39.7
TCGA-06-2561-01A	53 years, female, white, dead, 537 days	39.3
TCGA-28-5204-01A	72 years, male, white, dead, 454 days	39.2
TCGA-27-1834-01A	56 years, male, white, dead, 1233 days	38.3
TCGA-27-2528-01A	62 years, male, white, dead, 480 days	38.2
TCGA-12-5299-01A	56 years, female, white, dead, 98 days	38.0
TCGA-27-1837-01A	36 years, male, white, dead, 427 days	37.9
TCGA-12-0619-01A	60 years, male, white, dead, 1062 days	37.8
TCGA-19-2624-01A	51 years, male, white, dead, 5 days	37.8
TCGA-16-1045-01B	49 years, female, white, dead, 883 days	37.5
TCGA-06-0130-01A	54 years, male, white, dead, 394 days	37.5
TCGA-02-2485-01A	53 years, male, black or african american, alive, 470 days	37.4
TCGA-26-5135-01A	72 years, female, white, dead, 270 days	37.2
TCGA-41-4097-01A	63 years, female, white, dead, 6 days	37.0
TCGA-06-0644-01A	71 years, male, black or african american, dead, 384 days	36.9
TCGA-28-2513-01A	69 years, female, white, alive, 222 days	36.7
TCGA-14-1823-01A	58 years, female, white, dead, 543 days	36.6
TCGA-32-2615-01A	62 years, male, white, dead, 485 days	35.8
TCGA-15-1444-01A	21 years, male, white, dead, 1537 days	35.8
TCGA-32-2632-01A	80 years, male, white, dead, 269 days	35.8
TCGA-06-0878-01A	74 years, male, white, alive, 218 days	35.8
TCGA-76-4927-01A	58 years, male, white, dead, 535 days	35.4
TCGA-02-0055-01A	62 years, female, white, dead, 76 days	35.2
TCGA-06-5412-01A	78 years, female, white, dead, 138 days	35.1
TCGA-28-1753-01A	53 years, male, white, alive, 37 days	35.0
TCGA-19-4065-01A	36 years, male, white, alive, 214 days	35.0
TCGA-02-2486-01A	64 years, male, white, dead, 618 days	35.0
TCGA-26-5136-01B	78 years, female, white, dead, 577 days	35.0
TCGA-16-0846-01A	85 years, male, white, dead, 119 days	33.9
TCGA-27-1830-01A	57 years, male, white, dead, 154 days	33.9
TCGA-06-0190-01A	62 years, male, white, dead, 317 days	33.6
TCGA-26-5139-01A	65 years, female, white, alive, 48 days	33.5
TCGA-19-2620-01A	70 years, male, white, dead, 148 days	33.3
TCGA-06-0747-01A	53 years, male, white, dead, 82 days	33.1
TCGA-06-2562-01A	81 years, male, white, dead, 382 days	33.0
TCGA-06-1804-01A	81 years, female, white, dead, 414 days	32.9
TCGA-27-1832-01A	59 years, female, white, dead, 300 days	32.7
TCGA-06-5414-01A	61 years, male, white, alive, 273 days	32.5
TCGA-06-5418-01A	75 years, female, white, dead, 83 days	32.2
TCGA-06-0129-01A	30 years, male, asian, dead, 1024 days	32.0
TCGA-02-0047-01A	78 years, male, white, dead, 448 days	31.8
TCGA-06-2570-01A	21 years, female, white, alive, 958 days	31.3
TCGA-06-0158-01A	73 years, male, white, dead, 329 days	31.2
TCGA-28-5209-01A	66 years, female, white, alive, 77 days	30.8
TCGA-32-2638-01A	67 years, male, white, dead, 766 days	30.8
TCGA-06-2559-01A	83 years, male, white, dead, 150 days	30.7
TCGA-14-0871-01A	75 years, female, white, dead, 880 days	30.6
TCGA-19-2619-01A	55 years, female, black or african american, alive, 294 days	30.2
TCGA-06-0125-01A	63 years, female, white, dead, 1448 days	29.9
TCGA-06-0645-01A	56 years, female, white, dead, 175 days	29.4
TCGA-26-1442-01A	43 years, male, white, alive, 953 days	29.1
TCGA-76-4928-01B	85 years, female, white, dead, 94 days	28.6
TCGA-06-2564-01A	50 years, male, white, alive, 181 days	28.3
TCGA-14-0781-01B	49 years, male, black or african american, dead, 29 days	28.0
TCGA-06-5858-01A	45 years, female, white, alive, 187 days	27.0
TCGA-06-0210-01A	72 years, female, white, dead, 225 days	25.7
TCGA-06-5410-01A	72 years, female, white, dead, 108 days	25.7
TCGA-06-0139-01A	40 years, male, white, dead, 362 days	25.2
TCGA-19-1390-01A	63 years, female, white, dead, 772 days	22.3
TCGA-14-0789-01A	54 years, male, white, dead, 342 days	21.8
TCGA-06-2569-01A	24 years, female, black or african american, alive, 13 days	21.0
TCGA-28-5218-01A	63 years, male, white, dead, 157 days	17.6
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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 HPA027147	Antibody HPA029895
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.