Expression of MT-ND3 in glioma - The Human Protein Atlas

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MT-ND3

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TISSUE

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PATHOLOGY

BRAIN

BLOOD

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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-ND3 is not prognostic in glioma

Stage:

Survival analysis

Current cut offⁱ:
Best expression cut offⁱ: 3088.26
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

2739.7

Number of samples

153

Samples

Sample	Description	FPKM
TCGA-06-0141-01A	62 years, male, white, dead, 313 days	11406.7
TCGA-06-0744-01A	67 years, male, white, dead, 1426 days	8168.3
TCGA-06-0743-01A	69 years, male, white, dead, 803 days	7503.1
TCGA-06-2561-01A	53 years, female, white, dead, 537 days	6901.4
TCGA-06-0750-01A	43 years, male, white, dead, 28 days	6358.6
TCGA-06-0132-01A	49 years, male, white, dead, 771 days	6352.0
TCGA-06-0238-01A	46 years, male, white, dead, 405 days	6226.8
TCGA-26-1442-01A	43 years, male, white, alive, 953 days	5988.2
TCGA-14-1823-01A	58 years, female, white, dead, 543 days	5595.6
TCGA-27-1832-01A	59 years, female, white, dead, 300 days	5492.9
TCGA-06-0649-01B	73 years, female, black or african american, dead, 64 days	5205.1
TCGA-26-5136-01B	78 years, female, white, dead, 577 days	5170.7
TCGA-27-1835-01A	53 years, female, white, dead, 648 days	5169.7
TCGA-14-0817-01A	69 years, female, white, dead, 164 days	5069.3
TCGA-27-2519-01A	48 years, male, white, dead, 550 days	5022.5
TCGA-06-0749-01A	50 years, male, black or african american, dead, 82 days	4827.0
TCGA-19-2620-01A	70 years, male, white, dead, 148 days	4699.4
TCGA-27-1837-01A	36 years, male, white, dead, 427 days	4619.1
TCGA-06-0219-01A	67 years, male, white, dead, 22 days	4469.5
TCGA-12-0616-01A	36 years, female, white, dead, 448 days	4350.8
TCGA-06-0882-01A	30 years, male, white, dead, 632 days	4148.3
TCGA-02-2483-01A	43 years, male, asian, alive, 466 days	4095.2
TCGA-28-2499-01A	59 years, male, white, dead, 95 days	4092.2
TCGA-14-1829-01A	57 years, male, black or african american, alive, 218 days	4085.7
TCGA-06-1804-01A	81 years, female, white, dead, 414 days	4013.6
TCGA-15-0742-01A	65 years, male, white, dead, 419 days	4009.8
TCGA-06-0178-01A	39 years, male, white, dead, 2681 days	3974.8
TCGA-32-1980-01A	72 years, male, white, dead, 36 days	3912.8
TCGA-76-4926-01B	68 years, male, white, dead, 138 days	3892.8
TCGA-27-1830-01A	57 years, male, white, dead, 154 days	3826.8
TCGA-06-0184-01A	63 years, male, white, dead, 2126 days	3769.3
TCGA-27-1831-01A	66 years, male, white, dead, 505 days	3765.6
TCGA-06-0878-01A	74 years, male, white, alive, 218 days	3649.9
TCGA-06-2557-01A	76 years, male, black or african american, dead, 33 days	3630.9
TCGA-19-2625-01A	76 years, female, white, dead, 124 days	3532.0
TCGA-06-0210-01A	72 years, female, white, dead, 225 days	3521.8
TCGA-76-4929-01A	76 years, female, white, dead, 111 days	3460.0
TCGA-19-1787-01B	49 years, male, white, dead, 385 days	3323.8
TCGA-19-4065-01A	36 years, male, white, alive, 214 days	3263.0
TCGA-26-5132-01A	74 years, male, white, alive, 286 days	3221.6
TCGA-14-0781-01B	49 years, male, black or african american, dead, 29 days	3164.5
TCGA-27-1834-01A	56 years, male, white, dead, 1233 days	3155.5
TCGA-06-0745-01A	59 years, male, white, dead, 239 days	3133.3
TCGA-15-1444-01A	21 years, male, white, dead, 1537 days	3118.0
TCGA-26-5134-01A	74 years, male, white, alive, 167 days	3112.4
TCGA-06-0168-01A	59 years, female, white, dead, 598 days	3096.5
TCGA-06-0138-01A	43 years, male, white, dead, 737 days	3092.8
TCGA-27-2521-01A	34 years, male, white, dead, 510 days	3091.7
TCGA-41-4097-01A	63 years, female, white, dead, 6 days	3084.8
TCGA-32-1982-01A	76 years, female, white, dead, 142 days	3042.0
TCGA-32-2632-01A	80 years, male, white, dead, 269 days	3040.5
TCGA-16-0846-01A	85 years, male, white, dead, 119 days	3021.5
TCGA-06-0686-01A	53 years, male, white, dead, 432 days	2983.3
TCGA-27-2528-01A	62 years, male, white, dead, 480 days	2950.4
TCGA-14-0871-01A	75 years, female, white, dead, 880 days	2937.9
TCGA-28-5220-01A	67 years, male, white, dead, 388 days	2902.6
TCGA-32-4213-01A	47 years, female, white, alive, 604 days	2874.5
TCGA-14-2554-01A	52 years, female, white, dead, 532 days	2864.5
TCGA-02-0047-01A	78 years, male, white, dead, 448 days	2831.7
TCGA-06-0646-01A	61 years, male, white, dead, 175 days	2819.6
TCGA-06-2558-01A	75 years, female, white, dead, 380 days	2814.8
TCGA-06-0156-01A	57 years, male, white, dead, 178 days	2777.9
TCGA-12-0619-01A	60 years, male, white, dead, 1062 days	2763.0
TCGA-06-2570-01A	21 years, female, white, alive, 958 days	2740.5
TCGA-27-2524-01A	56 years, male, white, dead, 231 days	2729.1
TCGA-16-1045-01B	49 years, female, white, dead, 883 days	2702.3
TCGA-32-2615-01A	62 years, male, white, dead, 485 days	2680.0
TCGA-14-0787-01A	69 years, male, asian, dead, 68 days	2677.0
TCGA-14-0789-01A	54 years, male, white, dead, 342 days	2652.3
TCGA-12-0821-01A	62 years, male, white, dead, 323 days	2651.9
TCGA-06-2562-01A	81 years, male, white, dead, 382 days	2647.5
TCGA-28-1753-01A	53 years, male, white, alive, 37 days	2618.2
TCGA-76-4925-01A	76 years, male, white, dead, 146 days	2611.9
TCGA-41-2572-01A	67 years, male, white, dead, 406 days	2599.1
TCGA-08-0386-01A	74 years, male, white, dead, 548 days	2574.2
TCGA-06-0139-01A	40 years, male, white, dead, 362 days	2510.3
TCGA-26-5139-01A	65 years, female, white, alive, 48 days	2465.2
TCGA-28-1747-01C	44 years, male, white, dead, 77 days	2461.2
TCGA-14-0790-01B	64 years, female, white, dead, 419 days	2437.3
TCGA-06-5411-01A	51 years, male, white, dead, 254 days	2430.0
TCGA-32-2638-01A	67 years, male, white, dead, 766 days	2413.2
TCGA-06-2564-01A	50 years, male, white, alive, 181 days	2364.5
TCGA-06-0187-01A	69 years, male, white, dead, 828 days	2329.4
TCGA-06-0645-01A	56 years, female, white, dead, 175 days	2289.8
TCGA-28-2513-01A	69 years, female, white, alive, 222 days	2272.9
TCGA-19-1390-01A	63 years, female, white, dead, 772 days	2250.3
TCGA-32-1970-01A	59 years, male, white, dead, 468 days	2231.3
TCGA-27-2526-01A	79 years, female, white, dead, 87 days	2208.0
TCGA-06-2563-01A	72 years, female, white, alive, 932 days	2167.6
TCGA-06-2565-01A	59 years, male, asian, dead, 506 days	2140.6
TCGA-06-0130-01A	54 years, male, white, dead, 394 days	2080.8
TCGA-12-3650-01A	46 years, male, white, dead, 333 days	2073.2
TCGA-06-5416-01A	23 years, female, white, alive, 204 days	2061.3
TCGA-06-2567-01A	65 years, male, white, dead, 133 days	2044.3
TCGA-06-0157-01A	63 years, female, white, dead, 97 days	2038.4
TCGA-76-4928-01B	85 years, female, white, dead, 94 days	2038.0
TCGA-19-2629-01A	60 years, male, white, dead, 737 days	1996.9
TCGA-41-2571-01A	89 years, male, white, dead, 26 days	1992.5
TCGA-26-5135-01A	72 years, female, white, dead, 270 days	1939.7
TCGA-14-1825-01A	70 years, male, white, dead, 232 days	1874.7
TCGA-06-5418-01A	75 years, female, white, dead, 83 days	1830.8
TCGA-28-5207-01A	71 years, male, white, dead, 343 days	1769.3
TCGA-28-5218-01A	63 years, male, white, dead, 157 days	1749.2
TCGA-06-0211-01B	47 years, male, white, dead, 360 days	1748.2
TCGA-41-3915-01A	48 years, male, white, dead, 360 days	1725.5
TCGA-32-2616-01A	48 years, female, white, dead, 224 days	1714.7
TCGA-12-0618-01A	49 years, male, white, dead, 395 days	1712.9
TCGA-32-2634-01A	82 years, male, white, alive, 693 days	1705.3
TCGA-06-0129-01A	30 years, male, asian, dead, 1024 days	1696.6
TCGA-06-0158-01A	73 years, male, white, dead, 329 days	1681.5
TCGA-06-0125-01A	63 years, female, white, dead, 1448 days	1681.4
TCGA-19-2624-01A	51 years, male, white, dead, 5 days	1637.5
TCGA-76-4927-01A	58 years, male, white, dead, 535 days	1632.5
TCGA-12-1597-01B	62 years, female, white, dead, 675 days	1619.0
TCGA-06-0190-01A	62 years, male, white, dead, 317 days	1613.7
TCGA-41-5651-01A	59 years, female, black or african american, dead, 460 days	1592.4
TCGA-06-2559-01A	83 years, male, white, dead, 150 days	1558.7
TCGA-14-1034-01A	60 years, female, dead, 485 days	1530.7
TCGA-06-5858-01A	45 years, female, white, alive, 187 days	1525.2
TCGA-06-5413-01A	67 years, male, white, alive, 268 days	1517.8
TCGA-28-2514-01A	45 years, male, asian, alive, 160 days	1492.9
TCGA-76-4932-01A	50 years, female, white, dead, 1458 days	1486.1
TCGA-06-5410-01A	72 years, female, white, dead, 108 days	1469.6
TCGA-76-4931-01A	70 years, female, white, dead, 279 days	1440.6
TCGA-06-0747-01A	53 years, male, white, dead, 82 days	1426.8
TCGA-02-2486-01A	64 years, male, white, dead, 618 days	1410.9
TCGA-12-3652-01A	60 years, male, white, dead, 1062 days	1378.1
TCGA-06-5412-01A	78 years, female, white, dead, 138 days	1376.3
TCGA-28-5216-01A	52 years, male, white, alive, 415 days	1369.6
TCGA-28-5215-01A	62 years, female, white, dead, 335 days	1283.6
TCGA-28-2509-01A	77 years, female, white, alive, 145 days	1209.7
TCGA-28-5209-01A	66 years, female, white, alive, 77 days	1196.3
TCGA-26-5133-01A	59 years, male, white, alive, 452 days	1188.9
TCGA-19-5960-01A	56 years, male, white, dead, 455 days	1174.5
TCGA-06-5414-01A	61 years, male, white, alive, 273 days	1077.2
TCGA-06-0644-01A	71 years, male, black or african american, dead, 384 days	1059.4
TCGA-27-2523-01A	63 years, male, white, dead, 489 days	1057.1
TCGA-19-2619-01A	55 years, female, black or african american, alive, 294 days	1039.8
TCGA-06-2569-01A	24 years, female, black or african american, alive, 13 days	1035.0
TCGA-06-5859-01A	63 years, male, white, alive, 139 days	1028.6
TCGA-02-0055-01A	62 years, female, white, dead, 76 days	1022.7
TCGA-12-5299-01A	56 years, female, white, dead, 98 days	1008.8
TCGA-12-5295-01A	60 years, female, white, dead, 454 days	949.5
TCGA-06-5408-01A	54 years, female, white, dead, 357 days	933.2
TCGA-06-0174-01A	54 years, male, white, dead, 98 days	917.2
TCGA-28-5213-01A	72 years, male, white, alive, 951 days	892.6
TCGA-06-5417-01A	45 years, female, white, alive, 155 days	843.2
TCGA-06-5856-01A	58 years, male, white, dead, 114 days	838.0
TCGA-32-5222-01A	66 years, male, white, dead, 585 days	829.6
TCGA-02-2485-01A	53 years, male, black or african american, alive, 470 days	799.4
TCGA-28-5204-01A	72 years, male, white, dead, 454 days	780.2
TCGA-12-3653-01A	34 years, female, white, dead, 442 days	744.8
TCGA-28-5208-01A	52 years, male, white, dead, 544 days	721.9
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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 HPA063296
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.