Expression of MT-ND4 in glioma - The Human Protein Atlas

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MT-ND4

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TISSUE

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PATHOLOGY

BRAIN

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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

MT-ND4 is not prognostic in glioma

Stage:

Survival analysis

Current cut offⁱ:
Best expression cut offⁱ: 5298.35
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

4751.7

Number of samples

153

Samples

Sample	Description	FPKM
TCGA-06-0141-01A	62 years, male, white, dead, 313 days	14167.7
TCGA-26-1442-01A	43 years, male, white, alive, 953 days	13210.9
TCGA-06-0743-01A	69 years, male, white, dead, 803 days	11788.6
TCGA-27-1835-01A	53 years, female, white, dead, 648 days	11771.4
TCGA-06-0744-01A	67 years, male, white, dead, 1426 days	11086.0
TCGA-19-2625-01A	76 years, female, white, dead, 124 days	10690.2
TCGA-06-0132-01A	49 years, male, white, dead, 771 days	10417.9
TCGA-19-2620-01A	70 years, male, white, dead, 148 days	10204.9
TCGA-06-0238-01A	46 years, male, white, dead, 405 days	9748.7
TCGA-26-5134-01A	74 years, male, white, alive, 167 days	9439.1
TCGA-26-5136-01B	78 years, female, white, dead, 577 days	9337.4
TCGA-06-0750-01A	43 years, male, white, dead, 28 days	9115.6
TCGA-06-2561-01A	53 years, female, white, dead, 537 days	8959.2
TCGA-27-2519-01A	48 years, male, white, dead, 550 days	8652.3
TCGA-06-1804-01A	81 years, female, white, dead, 414 days	8512.7
TCGA-06-0649-01B	73 years, female, black or african american, dead, 64 days	8425.6
TCGA-19-1787-01B	49 years, male, white, dead, 385 days	8212.7
TCGA-15-0742-01A	65 years, male, white, dead, 419 days	8150.4
TCGA-27-1834-01A	56 years, male, white, dead, 1233 days	8131.4
TCGA-27-1837-01A	36 years, male, white, dead, 427 days	8128.0
TCGA-27-1830-01A	57 years, male, white, dead, 154 days	7773.9
TCGA-27-1832-01A	59 years, female, white, dead, 300 days	7765.5
TCGA-06-0749-01A	50 years, male, black or african american, dead, 82 days	7739.4
TCGA-28-2499-01A	59 years, male, white, dead, 95 days	7643.0
TCGA-06-0882-01A	30 years, male, white, dead, 632 days	7587.8
TCGA-06-0646-01A	61 years, male, white, dead, 175 days	7374.7
TCGA-02-0047-01A	78 years, male, white, dead, 448 days	7358.3
TCGA-19-1390-01A	63 years, female, white, dead, 772 days	7259.3
TCGA-06-0210-01A	72 years, female, white, dead, 225 days	7054.0
TCGA-06-2557-01A	76 years, male, black or african american, dead, 33 days	6612.6
TCGA-15-1444-01A	21 years, male, white, dead, 1537 days	6600.4
TCGA-06-0138-01A	43 years, male, white, dead, 737 days	6476.4
TCGA-28-1753-01A	53 years, male, white, alive, 37 days	6424.5
TCGA-32-1980-01A	72 years, male, white, dead, 36 days	6367.1
TCGA-32-1982-01A	76 years, female, white, dead, 142 days	6345.8
TCGA-14-0871-01A	75 years, female, white, dead, 880 days	6332.2
TCGA-06-0168-01A	59 years, female, white, dead, 598 days	6213.2
TCGA-06-0156-01A	57 years, male, white, dead, 178 days	6095.6
TCGA-06-0184-01A	63 years, male, white, dead, 2126 days	5876.4
TCGA-26-5133-01A	59 years, male, white, alive, 452 days	5859.8
TCGA-14-0781-01B	49 years, male, black or african american, dead, 29 days	5844.2
TCGA-32-1970-01A	59 years, male, white, dead, 468 days	5830.9
TCGA-12-0619-01A	60 years, male, white, dead, 1062 days	5825.0
TCGA-26-5132-01A	74 years, male, white, alive, 286 days	5721.0
TCGA-08-0386-01A	74 years, male, white, dead, 548 days	5678.0
TCGA-16-1045-01B	49 years, female, white, dead, 883 days	5672.8
TCGA-41-4097-01A	63 years, female, white, dead, 6 days	5639.7
TCGA-06-0187-01A	69 years, male, white, dead, 828 days	5630.5
TCGA-06-0125-01A	63 years, female, white, dead, 1448 days	5613.6
TCGA-06-0686-01A	53 years, male, white, dead, 432 days	5463.4
TCGA-27-2528-01A	62 years, male, white, dead, 480 days	5385.0
TCGA-32-2615-01A	62 years, male, white, dead, 485 days	5310.4
TCGA-06-2570-01A	21 years, female, white, alive, 958 days	5305.3
TCGA-26-5135-01A	72 years, female, white, dead, 270 days	5291.4
TCGA-12-0616-01A	36 years, female, white, dead, 448 days	5210.4
TCGA-06-0745-01A	59 years, male, white, dead, 239 days	5093.6
TCGA-06-0878-01A	74 years, male, white, alive, 218 days	5079.9
TCGA-06-0157-01A	63 years, female, white, dead, 97 days	5029.2
TCGA-14-0787-01A	69 years, male, asian, dead, 68 days	4988.2
TCGA-06-0130-01A	54 years, male, white, dead, 394 days	4983.1
TCGA-06-0219-01A	67 years, male, white, dead, 22 days	4982.1
TCGA-16-0846-01A	85 years, male, white, dead, 119 days	4947.2
TCGA-41-2571-01A	89 years, male, white, dead, 26 days	4933.6
TCGA-06-0645-01A	56 years, female, white, dead, 175 days	4881.6
TCGA-76-4926-01B	68 years, male, white, dead, 138 days	4850.3
TCGA-19-4065-01A	36 years, male, white, alive, 214 days	4832.5
TCGA-02-2483-01A	43 years, male, asian, alive, 466 days	4818.9
TCGA-19-2624-01A	51 years, male, white, dead, 5 days	4805.9
TCGA-06-0139-01A	40 years, male, white, dead, 362 days	4770.2
TCGA-06-2562-01A	81 years, male, white, dead, 382 days	4747.1
TCGA-06-2567-01A	65 years, male, white, dead, 133 days	4717.4
TCGA-19-2619-01A	55 years, female, black or african american, alive, 294 days	4699.7
TCGA-06-0158-01A	73 years, male, white, dead, 329 days	4569.4
TCGA-14-1823-01A	58 years, female, white, dead, 543 days	4518.7
TCGA-32-2634-01A	82 years, male, white, alive, 693 days	4439.9
TCGA-06-0747-01A	53 years, male, white, dead, 82 days	4389.0
TCGA-06-2558-01A	75 years, female, white, dead, 380 days	4345.6
TCGA-41-2572-01A	67 years, male, white, dead, 406 days	4309.1
TCGA-14-0790-01B	64 years, female, white, dead, 419 days	4305.6
TCGA-06-0129-01A	30 years, male, asian, dead, 1024 days	4232.2
TCGA-06-0190-01A	62 years, male, white, dead, 317 days	4188.4
TCGA-76-4929-01A	76 years, female, white, dead, 111 days	4125.7
TCGA-06-2564-01A	50 years, male, white, alive, 181 days	4096.9
TCGA-06-5411-01A	51 years, male, white, dead, 254 days	4061.9
TCGA-76-4925-01A	76 years, male, white, dead, 146 days	4039.3
TCGA-14-0789-01A	54 years, male, white, dead, 342 days	3990.6
TCGA-06-0178-01A	39 years, male, white, dead, 2681 days	3964.7
TCGA-28-1747-01C	44 years, male, white, dead, 77 days	3949.2
TCGA-32-2616-01A	48 years, female, white, dead, 224 days	3921.8
TCGA-14-1825-01A	70 years, male, white, dead, 232 days	3870.1
TCGA-28-2513-01A	69 years, female, white, alive, 222 days	3858.2
TCGA-06-5418-01A	75 years, female, white, dead, 83 days	3778.2
TCGA-32-2632-01A	80 years, male, white, dead, 269 days	3753.4
TCGA-41-3915-01A	48 years, male, white, dead, 360 days	3733.4
TCGA-32-2638-01A	67 years, male, white, dead, 766 days	3715.8
TCGA-06-2563-01A	72 years, female, white, alive, 932 days	3667.2
TCGA-28-2514-01A	45 years, male, asian, alive, 160 days	3665.3
TCGA-12-0821-01A	62 years, male, white, dead, 323 days	3664.6
TCGA-26-5139-01A	65 years, female, white, alive, 48 days	3652.0
TCGA-32-4213-01A	47 years, female, white, alive, 604 days	3624.8
TCGA-14-1034-01A	60 years, female, dead, 485 days	3541.5
TCGA-19-2629-01A	60 years, male, white, dead, 737 days	3477.7
TCGA-06-5416-01A	23 years, female, white, alive, 204 days	3416.0
TCGA-12-0618-01A	49 years, male, white, dead, 395 days	3388.6
TCGA-06-2565-01A	59 years, male, asian, dead, 506 days	3241.3
TCGA-06-5858-01A	45 years, female, white, alive, 187 days	3234.4
TCGA-27-2521-01A	34 years, male, white, dead, 510 days	3059.9
TCGA-06-5417-01A	45 years, female, white, alive, 155 days	3015.1
TCGA-06-5412-01A	78 years, female, white, dead, 138 days	2931.5
TCGA-14-0817-01A	69 years, female, white, dead, 164 days	2906.6
TCGA-02-0055-01A	62 years, female, white, dead, 76 days	2769.7
TCGA-76-4928-01B	85 years, female, white, dead, 94 days	2628.3
TCGA-28-5207-01A	71 years, male, white, dead, 343 days	2617.8
TCGA-06-5414-01A	61 years, male, white, alive, 273 days	2580.9
TCGA-14-2554-01A	52 years, female, white, dead, 532 days	2539.5
TCGA-06-0211-01B	47 years, male, white, dead, 360 days	2536.4
TCGA-28-5218-01A	63 years, male, white, dead, 157 days	2529.0
TCGA-28-5216-01A	52 years, male, white, alive, 415 days	2464.1
TCGA-12-1597-01B	62 years, female, white, dead, 675 days	2413.4
TCGA-06-2559-01A	83 years, male, white, dead, 150 days	2413.3
TCGA-06-0644-01A	71 years, male, black or african american, dead, 384 days	2396.4
TCGA-06-5410-01A	72 years, female, white, dead, 108 days	2379.0
TCGA-76-4932-01A	50 years, female, white, dead, 1458 days	2371.2
TCGA-28-5220-01A	67 years, male, white, dead, 388 days	2360.1
TCGA-76-4927-01A	58 years, male, white, dead, 535 days	2346.7
TCGA-28-5215-01A	62 years, female, white, dead, 335 days	2283.4
TCGA-27-2524-01A	56 years, male, white, dead, 231 days	2205.8
TCGA-28-2509-01A	77 years, female, white, alive, 145 days	2153.3
TCGA-76-4931-01A	70 years, female, white, dead, 279 days	2036.6
TCGA-27-2526-01A	79 years, female, white, dead, 87 days	2028.7
TCGA-06-0174-01A	54 years, male, white, dead, 98 days	2025.3
TCGA-06-2569-01A	24 years, female, black or african american, alive, 13 days	1936.9
TCGA-19-5960-01A	56 years, male, white, dead, 455 days	1909.9
TCGA-28-5209-01A	66 years, female, white, alive, 77 days	1890.3
TCGA-12-3653-01A	34 years, female, white, dead, 442 days	1840.4
TCGA-41-5651-01A	59 years, female, black or african american, dead, 460 days	1769.4
TCGA-06-5856-01A	58 years, male, white, dead, 114 days	1692.5
TCGA-27-1831-01A	66 years, male, white, dead, 505 days	1615.5
TCGA-14-1829-01A	57 years, male, black or african american, alive, 218 days	1593.7
TCGA-02-2486-01A	64 years, male, white, dead, 618 days	1529.0
TCGA-02-2485-01A	53 years, male, black or african american, alive, 470 days	1492.1
TCGA-06-5408-01A	54 years, female, white, dead, 357 days	1422.8
TCGA-06-5413-01A	67 years, male, white, alive, 268 days	1354.4
TCGA-12-5295-01A	60 years, female, white, dead, 454 days	1338.4
TCGA-12-3650-01A	46 years, male, white, dead, 333 days	1335.0
TCGA-06-5859-01A	63 years, male, white, alive, 139 days	1311.0
TCGA-12-3652-01A	60 years, male, white, dead, 1062 days	1115.7
TCGA-27-2523-01A	63 years, male, white, dead, 489 days	1109.0
TCGA-12-5299-01A	56 years, female, white, dead, 98 days	1083.7
TCGA-28-5204-01A	72 years, male, white, dead, 454 days	925.4
TCGA-32-5222-01A	66 years, male, white, dead, 585 days	876.8
TCGA-28-5208-01A	52 years, male, white, dead, 544 days	847.3
TCGA-28-5213-01A	72 years, male, white, alive, 951 days	815.0
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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 HPA053928
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.