SEATTLE, Aug. 13, 2018 (GLOBE NEWSWIRE) -- Atossa Genetics Inc. (NASDAQ: ATOS), a clinical-stage biopharmaceutical company developing novel therapeutics and delivery methods to treat breast cancer and other breast conditions, today announced second quarter ended June 30, 2018 financial results and provided an update on recent company developments.

Steve Quay, President and CEO commented, We have made tremendous progress with our clinical programs. We opened enrollment in two phase 2 clinical studies: one study using our proprietary topical Endoxifen for breast density reduction, and another study using our proprietary oral Endoxifen for reducing breast cancer tumor cell activity in the window of opportunity between diagnosis of breast cancer and surgery. We also completed dosing and patient visits in our phase 1 study of topical Endoxifen in men. Our intraductal microcatheter immunoOncology pre-clinical program was launched and we contracted with an additional manufacturer for Endoxifen. We have had a very busy and productive first six months of 2018 as we continue the momentum in the advancement of our clinical programs. We are looking forward to announcing preliminary results from our phase 1 study of topical Endoxifen in men by September 30, 2018, added Dr. Quay.

Recent Corporate Developments

Atossas important recent developments include the following:

Q2 2018 Financial Results

For the three and six months ended June 30, 2018 and 2017, we had no revenue and no associated cost of revenue.

Total operating expenses were approximately $4.1 million and $6.0 million for the three and six months ended June 30, 2018, respectively, consisting of general and administrative (G&A) expenses of approximately $2.7 million and $4.1 million, respectively; and research and development (R&D) expenses of approximately $1.5 million and $1.9 million, respectively. For the previous year, total operating expenses were approximately $1.9 million and $3.6 million for the three and six months ended June 30, 2017, respectively, consisting of G&A expense of approximately $1.1 million and $2.2 million, respectively, and R&D expenses of $0.8 million and $1.4 million, respectively.

About Atossa Genetics

Atossa Genetics Inc., is a clinical-stage biopharmaceutical company developing novel therapeutics and delivery methods to treat breast cancer and other breast conditions. For more information, please visit http://www.atossagenetics.com.

Forward-Looking Statements

Forward-looking statements in this press release, which Atossa undertakes no obligation to update, are subject to risks and uncertainties that may cause actual results to differ materially from the anticipated or estimated future results, including the risks and uncertainties associated with any variation between preliminary and final clinical results, actions and inactions by the FDA, the outcome or timing of regulatory approvals needed by Atossa including those needed to commence studies, lower than anticipated rate of patient enrollment, estimated market size of drugs under development, the safety and efficacy of Atossa's products and services, performance of clinical research organizations and investigators, obstacles resulting from proprietary rights held by others with respect to fulvestrant, such as patent rights, potential market sizes for Atossas drugs under development and other risks detailed from time to time in Atossa's filings with the Securities and Exchange Commission, including without limitation its periodic reports on Form 10-K and 10-Q, each as amended and supplemented from time to time.

Atossa Genetics Company Contact:

Atossa Genetics Inc.Kyle GuseCFO and General CounselOffice: 866 893-4927kyle.guse@atossagenetics.com

Investor Relations Contact:

Scott GordonCorProminence LLC377 Oak StreetConcourse 2Garden City, NY 11530Office: (516) 222-2560scottg@corprominence.com

Source: Atossa Genetics Inc.

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Atossa Genetics Announces Second Quarter 2018 Financial ...

ByRobin Scullin

Scientists at Johns Hopkins Bloomberg School of Public Health have developed a powerful method for characterizing patterns of genetic contributions to different traits such as height, BMI, and childhood IQ, as well as diseases including Alzheimer's disease, diabetes, heart disease, and bipolar disorder. The new method provides a "big picture" of genetic influences that should be particularly helpful in designing future genetic studies and understanding genetic risk prediction.

In a study published today in the journal Nature Genetics, the scientists mined existing data from genetic studies and used novel statistical techniques to obtain estimates of the numbers of DNA variations that contribute to different physical traits and diseases,

"In terms of practical results, we can now use this method to estimate, for any trait or disease, the number of individuals we need to sample in future studies to identify the majority of the important genetic contributions," says study senior author Nilanjan Chatterjee, a Bloomberg Distinguished Professor in the Department of Biostatistics.

Bloomberg Distinguished Professor in Department of Biostatistics

Affordable DNA-sequencing technology became available around the turn of the millennium. With it, researchers have performed hundreds of genome-wide association studies to discover DNA variations that are linked to different diseases or traits. These variationscalled single nucleotide polymorphisms, or SNPsare changes in DNA "letters" at various sites on the genome. Knowing which variations are linked to a disease or trait can be useful in gaining biological understanding about how diseases and other traits originate and further progress.

There is also interest in using genetic markers to develop risk-scores that could identify individuals at high or low risk for diseases and then use the information to develop a "precision medicine" approach to disease prevention.

"Depending on their sample sizes, previous genome-wide association studies have uncovered a few SNPs or many for any given disease or trait," Chatterjee says. "But what they generally haven't done is reveal the overall genetic architectures of diseases or traitsin other words, the likely number of SNPs that contribute and the distributions of their effect sizes."

Chatterjee and his colleagues developed statistical tools to infer this overall architecture from publicly available genome-wide association study data. They then applied these tools to 32 datasets covering 19 quantitative traits and 13 diseases.

The findings show that what is known about many traits represents the "tip of the iceberg." An individual trait could be associated with thousands to tens of thousands of SNPs, each of which has small effect, but which cumulatively make a substantial contribution to the trait variation. Intriguingly, they found that traits related to mental health and ability, such as IQ, depression, and schizophrenia, appear to be influenced by the largest number, on the order of tens of thousands of SNPs, each with tiny effects.

"For the traits we analyzed related to mental health and cognitive ability, there is really a continuum of effect sizes, suggesting a distinct type of genetic architecture," says Chatterjee, who has a joint appointment in Johns Hopkins Medicine's Department of Oncology.

By contrast, the analysis suggested that common chronic diseases such as heart disease and type-2 diabetes typically are influenced by relatively feweron the order of thousandsof SNPs, most of which have small effects, although a sizable group "stick out" for their stronger effects.

Knowing the approximate genetic architecture of a disease or trait allows scientists to predict how informative any new genome-wide association studies for that trait or disease will be, given the sample size. For example, projections in the study suggest that for most traits and diseases, such as heart disease and diabetes, the point of diminishing return for these studies only starts after a sample size reaches several hundred thousand. For psychiatric diseases and cognitive traits, with their "long-tail" distributions of gene effects, diminishing returns usually won't kick in until sample sizes are even larger‐possibly in the millions, Chatterjee says. These results have implications for how useful genetic risk prediction models could be for different diseases depending on the sample size achievable for future studies.

"Our approach at least provides the best available 'road map' of what is needed in future studies," Chatterjee says.

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Understanding genetic architecture of different traits and ...

Taxonomy of freshwater mussels from family Unionidae has been ambiguous for a long time. A number of methods used for their identification, including the so-called comparative method, are based on shell morphology. However, this morphology turned out to have a high level of within-species variation, and the shape of the shell of a specimen depends strongly on its environment and conditions of growth. For these reasons, the number of species recognized by the comparative method kept increasing. We applied both the comparative morphological method and methods of molecular genetics to address the taxonomy of Unionidae. We performed the comprehensive study of 70 specimens of Unionidae mussels collected from the River Ivitza, Volga basin. The specimens represented 14 comparative species, belonging to 4 comparative genera of Unionidae: Colletopterum, Pseudanodonta, Unio and Crassiana. Sequencing of the nuclear (ITS1) and mitochondrial (COI, 16S rDNA) genetic regions revealed 5 groups with high within-group genetic homogeneity separated from each other by long genetic distances. According to the comparison with the available sequences, these groups correspond to 3 Eastern European genera and 5 species: Anodonta anatina, Pseudanodonta complanata, Unio pictorum, Unio tumidus and Unio crassus. The results obtained indicate that the comparative method is inappropriate for the taxonomic analysis of East European Unionidae.

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The comparative and genetic methods for East European ...

August 13, 2018 - By Kristin Houston

Investors sentiment increased to 1.11 in Q1 2018. Its up 0.20, from 0.91 in 2017Q4. It improved, as 3 investors sold Cancer Genetics, Inc. shares while 6 reduced holdings. 6 funds opened positions while 4 raised stakes. 2.70 million shares or 2.75% less from 2.78 million shares in 2017Q4 were reported.The Illinois-based Northern Tru Corporation has invested 0% in Cancer Genetics, Inc. (NASDAQ:CGIX). Morgan Stanley holds 16,169 shares or 0% of its portfolio. Geode Limited Liability has invested 0% in Cancer Genetics, Inc. (NASDAQ:CGIX). 11,600 were accumulated by Spark Invest Management Ltd Llc. Perkins Cap Management reported 963,600 shares. Virtu Financial Ltd Liability Corporation accumulated 0% or 29,495 shares. Granahan Inv Ma owns 235,502 shares. Wells Fargo Mn reported 0% in Cancer Genetics, Inc. (NASDAQ:CGIX). National Bank Of America Corporation De has invested 0% in Cancer Genetics, Inc. (NASDAQ:CGIX). Barclays Public Limited Company has invested 0% of its portfolio in Cancer Genetics, Inc. (NASDAQ:CGIX). Moreover, Jacobs Levy Equity Management Incorporated has 0% invested in Cancer Genetics, Inc. (NASDAQ:CGIX). The New York-based Hrt Lc has invested 0.02% in Cancer Genetics, Inc. (NASDAQ:CGIX). Vanguard Group Inc holds 583,886 shares or 0% of its portfolio. Dimensional Fund Advsr Limited Partnership reported 19,866 shares. Diker Mngmt Ltd Liability invested 0.04% of its portfolio in Cancer Genetics, Inc. (NASDAQ:CGIX).

Analysts expect Cancer Genetics, Inc. (NASDAQ:CGIX) to report $-0.13 EPS on August, 14 before the open.They anticipate $0.03 EPS change or 18.75 % from last quarters $-0.16 EPS. After having $-0.16 EPS previously, Cancer Genetics, Inc.s analysts see -18.75 % EPS growth. The stock decreased 3.22% or $0.0314 during the last trading session, reaching $0.9451. About 69,965 shares traded. Cancer Genetics, Inc. (NASDAQ:CGIX) has declined 74.25% since August 13, 2017 and is downtrending. It has underperformed by 86.82% the S&P500.

Among 2 analysts covering Cancer Genetics (NASDAQ:CGIX), 1 have Buy rating, 0 Sell and 1 Hold. Therefore 50% are positive. Cancer Genetics had 3 analyst reports since April 3, 2018 according to SRatingsIntel. The firm earned Hold rating on Tuesday, April 3 by Maxim Group. The stock of Cancer Genetics, Inc. (NASDAQ:CGIX) has Buy rating given on Tuesday, May 29 by H.C. Wainwright. The company was maintained on Wednesday, June 27 by H.C. Wainwright.

Cancer Genetics, Inc. develops, commercializes, and provides molecular and biomarker tests and services in the United States, India, and China. The company has market cap of $26.22 million. The Companys tests enable physicians to personalize the clinical management of each individual patient by providing genomic information to diagnose, monitor, and inform cancer treatment; and enable biotech and pharmaceutical companies involved in oncology trials to select candidate populations and reduce adverse drug reactions by providing information regarding genomic factors influencing subject responses to therapeutics. It currently has negative earnings. The company's clinical services provide information on diagnosis, prognosis, and predicting treatment outcomes of cancers to guide patient management.

More news for Cancer Genetics, Inc. (NASDAQ:CGIX) were recently published by: Nasdaq.com, which released: Cancer Genetics to Report Second Quarter 2018 Financial Results on August 14, 2018 on August 07, 2018. Globenewswire.coms article titled: Cancer Genetics Closes $2.625 million Convertible Note Financing and published on July 18, 2018 is yet another important article.

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