Treating deadly cancerous disorders with gene-guided, targeted therapy

Genomic testing of biopsies from patients with deadly, treatment-resistant cancerous blood syndromes called histiocytoses allowed doctors to identify genes fuelling the ailments and use targeted molecular drugs to successfully treat them.

Researchers from the Cincinnati Children’s Cancer and Blood Diseases Institute have recently report their data.  They recommend the regular use of comprehensive genomic profiling at diagnosis to positively impact clinical care, as well as rigorous clinical trials to verify and extend the diagnostic and treatment conclusions in their study.

Histiocytoses are a group of disorders in which abnormal accumulations of white blood cells form tumours on vital organs, leading to systemic organ damage or death. About half of the patients can be treated successfully with chemotherapy, but others are treatment resistant.

Study authors conducted genomic profiling of biopsies from 72 child and adult patients with a variety of treatment-resistant histiocytoses, including the most common one in children, Langerhans cell histiocytosis (LCH), according to the lead investigator, Ashish Kumar, MD, PhD.

Twenty-six patients with treatment-resistant disease had gene mutations involving either BRAF or MAP2K1 that directly activate the MAP-kinase cancer pathway. Researchers determined such patients would benefit from the targeted molecular therapies dabrafenib or trametinib, which block the MAP kinase pathway. The approved cancer drugs were prescribed off label to the histiocytosis patients.

‘In the last year, three patients we treated were infants with disease that was resistant to several rounds of intense chemotherapy. In the past, these children either would have suffered serious complications including death or would have had to endure more intensive treatments and the ensuing toxicities, including the risk of death,” Kumar said. “All three are thriving now on one oral medication that put their disease into remission.”

In one case a 22-month-old child was referred to Cincinnati Children’s for treatment-resistant LCH that was complicated by a secondary diagnosis of HLH (hemophagocytic lymphohistiocytosis). HLH is a difficult-to-treat and often-fatal autoimmune disorder in which an overheated immune system causes uncontrolled inflammation and organ damage. The little girl, whose condition was worsening with organ failure, had a mutation in the BRAF gene. 

Two days after starting targeted treatment with oral dabrafenib (which blocks the MAP-kinase pathway) the little girl’s fever disappeared and a week later her organ function returned to normal, according to study authors.

Previous studies, future directions
For their JCI Insight research project, in addition to their own laboratory tests, study authors drew from data in previous research papers by a number of institutions, which examined genetic and molecular processes affecting white blood cell expansion in different types of histiocytosis.

As Kumar and his colleagues continue their research, they plan to test methodologies that could expand the use of genomic profiling of patient biopsies and targeted molecular therapies in more patients with recurrent, treatment-resistant disease.

Cincinnati Children’s www.cincinnatichildrens.org/news/release/2017/treating-deadly-disorders

Gene find sheds light on growth defects linked to dwarfism

A new study shows how errors in a specific gene can cause growth defects associated with a rare type of dwarfism.

During the study, an international team of scientists led by the University of Birmingham looked at genetic information from more than 250 people around the world with primordial dwarfism, a group of disorders characterised by short stature and an abnormally small head.

They found that 29 of the individuals had a defective version of a gene called DONSON.

Tests on cells growing in the laboratory revealed that this gene plays a crucial role in ensuring DNA is copied correctly when cells divide and grow.
Cells from patients with mutations in the DONSON gene had difficulty in efficiently replicating their DNA and protecting it from uncontrolled damage, ultimately leading to the growth defects typical of primordial dwarfism.

Most children with primordial dwarfism are not diagnosed until they are around three years old, and doctors are often unable to pinpoint the causes. This research raises the potential of more accurate diagnoses for patients with genetic microcephaly, in addition to providing an insight into how similar rare hereditary diseases are caused.

Professor Grant Stewart, from the Institute of Cancer and Genomic Sciences at the University of Birmingham, says: ‘Despite DNA replication being a process that is fundamental to life, there is still a lot we don’t know. This research sheds new light on the mechanisms underlying DNA replication, and the effect on human health when this process goes wrong.’

Professor Andrew Jackson, of the University of Edinburgh’s Institute for Genetics and Molecular Medicine, says:  ‘Identification of DONSON as a new microcephaly gene has given us new insights into how the genome is protected during DNA replication, and has only been possible through the close collaboration and contributions of clinicians and scientists from many countries around the world.’
Professor Christopher Mathew, from the National Institute for Health Research (NIHR) Biomedical Research Centre at Guy’s and St Thomas’ and King’s College London, adds: ‘This is a good example of how unravelling the genetics of rare human disorders can provide profound insight into basic biological processes.’

NIHR Medical Research Institute www.guysandstthomasbrc.nihr.ac.uk/2017/02/14/research-gene-find-sheds-light-on-growth-defects-linked-to-dwarfism/

Molecular ‘on switch’ could point to treatments for paediatric brain tumour

Massachusetts General Hospital (MGH) researchers have identified a mechanism that controls the expression of genes regulating the growth of the most aggressive form of medulloblastoma, the most common paediatric brain tumour. The team also identifies potential targets for future treatments.

“We set out to find the most important regulators of gene expression programs in medulloblastoma,” says senior author Miguel Rivera, MD, of the MGH Department of Pathology and the Center for Cancer Research. “To do that we used a powerful genomic technology called chromatin profiling to map all the genomic elements contributing to transcription regulation in Group 3 medulloblastoma – the most aggressive subtype. This goes beyond measuring gene expression because it tells you how genes are turned on and off.”

Medulloblastoma is a fast-growing tumour that arises in the developing brain and most commonly affects children under the age of 10. Four molecular variants, each with different patterns of DNA alteration and gene expression, have been identified. Subtypes WNT and SSH are the best understood; the other two – Group 3 and Group 4 – are poorly understood and account for 60 percent of tumours.

Cells regulate whether specific genes are transcribed into RNA through the action of transcription factors, proteins that bind to DNA and either stimulate or suppress the expression of their target genes. Rivera’s team used advanced genomic technologies to identify key DNA elements called enhancers that were active in primary Group 3 medulloblastoma samples and cell lines. The transcription factor OTX2, which plays a role in normal brain development and is known to be highly expressed in Group 3 medulloblastomas, was present at the majority of active enhancer sites in tumours, suggesting it may have a role in promoting the expression of tumour-associated genes.

Subsequent experiments revealed that OTX2 can function as a “pioneer factor,” opening up chromatin – which consists of DNA wound around proteins called histones – to activate enhancers and that its function is amplified by a second transcription factor called NEUROD1. The investigators then identified a set of genes the expression of which was significantly reduced when OTX2 was suppressed. Among these genes, they found that expression of the kinase NEK2 responded to OTX2 levels and that its depletion or pharmacologic inhibition strongly reduced the growth and survival of medulloblastoma cells.

“Overall, our findings show that OTX2 is a critical factor in regulating gene expression programs in Group 3 medulloblastoma and possibly in the WNT and Group 4 subtypes, where it is also expressed,” says Rivera, who is an assistant professor of Pathology at Harvard Medical School. “This work points to OTX2 itself and its target genes – including NEK2 – as potential therapeutic targets. Disruption of the relationship between OTX2 and NEUROD1 may also be a potential treatment strategy.

Massachusetts General Hospitalwww.massgeneral.org/about/pressrelease.aspx?id=2063

Clues to relationship between schizophrenia and rheumatoid arthritis

An in-depth computational analysis of genetic variants implicated in both schizophrenia and rheumatoid arthritis by researchers at the University of Pittsburgh points to eight genes that may explain why susceptibility to one of the disorders could place individuals at lower risk for the other.

“There is a wealth of genomic data on both schizophrenia and rheumatoid arthritis. Analysing it jointly with known protein interaction information could provide invaluable clues to the relationship between the diseases and also shed light on their shared roots,” said Madhavi Ganapathiraju Ph.D., associate professor of biomedical informatics at the University of Pittsburgh School of Medicine and senior author of the study.

While schizophrenia is a psychiatric disorder of unknown origin and rheumatoid arthritis is an autoimmune disease of the joints that occurs as a result of the body’s immune system attacking its own cells, both disorders are thought to be influenced by multiple genetic risk factors modified by the environment.

“Several previous research studies have hinted at a potential inverse relationship in the prevalence and risk for the two disorders, so we wondered if individual genetic variants may exist that could have opposing effects on the risk of schizophrenia and rheumatoid arthritis,” said co-senior author Vishwajit Nimgaonkar M.D., Ph.D., professor of psychiatry at Pitt’s School of Medicine and human genetics at Pitt’s Graduate School of Public Health.

The researchers first analysed two large databases of genetic variants significantly associated with either schizophrenia or rheumatoid arthritis. They identified 18 unique variants, also known as single nucleotide polymorphisms (SNPs) that were located in the HLA region of the genome that harbours genes associated with immune function. The variants appeared to confer different risk for schizophrenia or rheumatoid arthritis. As the SNPs were located near eight known genes in this region, the authors suggested those genes might lead to dysfunction in both schizophrenia and rheumatoid arthritis. Proteins encoded by two of these eight genes, HLA-B and HLA-C, are present in both brain and immune cells.

Analysis of proteins that interact with these eight genes using a computational model developed last year by Ganapathiraju’s team called High-Precision Protein Interaction Prediction found more than 25 signalling pathways with proteins common to both rheumatoid arthritis and schizophrenia signalling. Moreover, several of these pathways were associated with immune system function and inflammation.

The findings are encouraging because they support associations of the HLA gene region and immune function with schizophrenia and rheumatoid arthritis that were known over four decades ago, said Ganapathiraju.

Increasing evidence also suggests that a dysfunctional immune system could play a role in the development of schizophrenia.

University of Pittsburghwww.upmc.com/media/NewsReleases/2017/Pages/bioinformatics-study.aspx

Gene mutations cause leukaemia, but which ones?

“Mutations are part of life. They are mistakes in a gene like typos in a text message,” said Watanabe-Smith, a postdoctoral fellow with the OHSU Knight Cancer Institute. “But which mutations cause cancer? That’s the real question. And this problem is impossible to understand without a strong model system to test those mutations.”

Watanabe-Smith’s research sought to better understand one “typo” in a standard leukaemia assay, or test. While studying cancer biology and completing his doctorate in the lab of Brian Druker, M.D., at the OHSU Knight Cancer Institute, Watanabe-Smith encountered a new problem: an issue with the model system itself.

“When I was sequencing the patient’s DNA to make sure the original, known mutation is there, I was finding additional, unexpected mutations in the gene that I didn’t put there. And I was getting different mutations every time,” said Watanabe-Smith.

He decided to formally study this phenomenon with his lab advisers, who included Druker; Cristina Tognon, Ph.D., scientific director, Druker lab; and Anupriya Agarwal, Ph.D., assistant professor of hematology & medical oncology, OHSU School of Medicine; researcher with the OHSU Knight Cancer Institute, all co-authors on the paper.  

His initial research, identifying and characterizing a growth-activating mutation in a patient with T-cell leukaemia and was first published last April. This research published was focused on better understanding the lab’s model system, to ensure that future researchers trying to identify cancer-causing mutations are using accurate and reproducible methods.

Their research investigates a common cell line assay, used since the 1980’s, to detect which mutations are important in driving leukaemia and other cancers. They found this assay is prone to a previously unreported flaw, where the cells, called Ba/F3 cells, can acquire additional mutations.

“The potential impact is that a non-functional mutation could appear functional, and a researcher could publish results that would not be reproducible,” Watanabe-Smith said. “Then we had the question: ‘Did the cells transform because of a mutation the patient had, or did they transform because these new mutations they managed to pick up somewhere?’”

Ultimately, he says, the research team recommends an additional step in the Ba/F3 assay (sequencing outgrown cell lines) to improve reproducibility of future results. While the results urge further research, the message to scientific community is clear: There seems to be more potential for problems than previously anticipated in this standard assay.

OHSU Knight Cancer Institutenews.ohsu.edu/2017/02/21/gene-mutations-cause-leukemia-but-which-ones

Novel mutation may be linked to prostate cancer in African-American men

Researchers have identified a novel mutation that may be associated with prostate cancer in African American men, according to a new study.

Scientists have long known that a huge variety of DNA mutations can lead to cancer. Some proteins can repair DNA mutations, but when repair proteins are mutated themselves, cancer may arise. Knowing which mutations are linked to which cancer types helps scientists develop new targeted treatments and detection strategies.

To improve knowledge of mutations associated with prostate cancer, Alice Walker of The University of North Texas, and colleagues searched for relevant mutations in genes that code for a family of DNA repair proteins known as AlkBH.

The researchers ran two separate datasets of DNA sequences through a software program called HyDn-SNP-S, which had previously been developed by members of the team. The software allowed them to compare DNA sequences of AlkBH family proteins from healthy genomes, to those found in genomes derived from prostate cancer tumours. In both datasets, a mutation in the gene that codes for a protein called ALKBH7 was significantly associated with prostate cancer in African American men.

Next, the researchers used computer simulations to investigate how the ALKBH7 mutation, R191Q, would affect the protein’s structure. They found that the mutation might cause a structural change that significantly decreases the ability of the protein to perform its normal role. Spectroscopy experiments with actual protein samples confirmed these predictions.

According to study co-author G. Andrés Cisneros of the University of North Texas, the next steps for research are further experimental exploration of how the R191Q mutation is related to prostate cancer, as well as investigation of potential new avenues for detection and treatment based on the mutation.

‘Scanning the DNA of individuals in the target population for this mutation could help indicate those with a higher risk of developing prostate cancer before symptoms are evident,’ Walker says.

EurekAlertwww.eurekalert.org/pub_releases/2017-02/p-nmm021617.php

Sorting out risk genes for brain development disorders

Gene discovery research is uncovering new information about similarities and differences underlying various neurodevelopmental disorders.  These are a wide-ranging collection of conditions that affect the brain.  They include autism, intellectual impairments, developmental delays, attention deficits, tic disorders and language difficulties.

To better understand how gene-disrupting mutations contribute to the biology of neurodevelopmental disorders, researchers recently conducted a large, international, multi-institutional study.   

More than 11,700 affected individuals and nearly 2,800 control subjects underwent targeted DNA sequencing of 208 suspected disease-risk genes. The candidate genes were chosen based on previously published studies.  By looking at greater numbers of cases and using a reliable yet inexpensive molecular inversion probe, the project team wanted to measure the statistical significance of individual, implicated genes.

The study leaders were Holly A. F. Stessman, Bo Xiong and Bradley P. Coe, of the genome sciences laboratory of Evan Eichler at the University of Washington School of Medicine and the Howard Hughes Medical Institute.  Stessman is now at Creighton University.

Their samples were collected through the Autism Spectrum/Intellectual Disability 15-center network spanning seven countries and four continents.  An advantage of this collection, the researchers said, is the ability to check back on a large fraction of cases to try to relate genetic results to clinical findings.  

In their study population, the researchers associated 91 genes with the risk of a neurodevelopmental disorder. These included 38 genes not previously suspected of playing a role.  Based on some of the family studies, however, mutations even in two or more of the risk genes may not be necessary or sufficient to cause disease.

Of the 91 genes, 25 were linked with forms of autism without intellectual disability. The scientists also described a gene network that appeared to be related to high-functioning autism.  Individuals with this form of autism have average to above average intelligence, but may struggle in learning to talk, interact socially, or manage anxiety and sensory overload.  
While observing that some genes were more closely associated with autism and others with intellectual or developmental impairments, the researchers found that most of the genes implicated were mutated in both conditions.  This result reinforces the substantial overlap among these conditions in their underlying genetics and observable characteristics.

“Most of these genes are clearly risk factors for neurodevelopmental disorders in a broad sense,” the researchers explained.  “But analysis of both the genetic and subsequent patient follow-up data did single out some genes with a statistical bias towards autism spectrum disorder, rather than an intellectual disability or developmental delay.”

Additional findings suggest that less severe mutations may be behind autism that is not accompanied by intellectual disability.

University of Washington Health Systemhsnewsbeat.uw.edu/story/sorting-out-risk-genes-brain-development-disorders

Two cardiac markers for high risk of heart failure and death

New research suggests that GlycA, a newly identified blood marker, and C-reactive protein both independently predict major adverse cardiac events, including heart failure and death. Patients who have high levels of both biomarkers are at especially high risk.
 
That’s the finding of researchers from the Intermountain Medical Center Heart Institute in Salt Lake City, who teamed with LipoScience Laboratories to examine the markers to see if the two proteins, each previously linked to inflammation, are independent or related and whether either or both can identify patients at elevated risk for cardiovascular events.
 
The research grew out of an earlier analysis that paired plasma samples collected as part of the Intermountain Heart Collaborative Study with an assay developed by LipoScience that uses nuclear magnetic resonance technology to measure, among other things, the particle numbers in low-density lipoprotein (LDL) cholesterol, often called “bad” cholesterol. While scanning the plasma samples with the nuclear magnetic resonance technology, LipoScience had detected the GlycA and determined it to be a novel marker of inflammation.
 
Early research by the Intermountain Medical Center Heart Institute team showed that GlycA can predict heart attack risk; inflammation makes it more likely cholesterol plaques will rupture.
 
GlycA didn’t predict coronary artery disease nearly as well, said Brent Muhlestein, MD, co-director of cardiology research at Intermountain Medical Center and the study’s lead author.
 
C-reactive protein has already been shown to accurately predict adverse heart events and coronary artery disease, so the researchers wondered if the two are independent of each other, or if GLycA just offers another way to measure the effects of CRP.
 
Using the same plasma samples — part of more than 30,000 DNA samples collected over the course of 25 years by the Intermountain Medical Center Heart Institute— the researchers compared the value of both GlycA and CRP in predicting future heart attacks, strokes, or death.
 
For the study, nearly 3,000 patients undergoing coronary angiography were followed, two-thirds of them male. Sixty-five percent of them had been diagnosed with coronary artery disease, 42 percent with acute coronary syndrome, and 26 percent with diabetes.
 
“The correlation between GlycA and CRP was only modest,” said Dr. Muhlestein. “Some patients had a high level of one and a low level of the other and vice versa. But the two proteins independently predicted future risk, and if you had both, it was the worst scenario completely. It tells us that GlycA is perhaps something important.”
 
How important will be the focus for future research. Dr. Muhlestein said his research team would like to identify exactly what GlycA is, what it does, and the underlying physiology of its connection to inflammation.


Intermountain Medical Center Heart Institute
intermountainhealthcare.org/news/2017/03/people-who-have-high-levels-of-two-cardiac-markers-at-high-risk-of-heart-failure-and-death/

Largest known dataset for concussion diagnostics

Following a three-year study of the Arizona State University football program, researchers at the Translational Genomics Research Institute (TGen) have created the largest dataset to date of extracellular small RNAs, which are potential biomarkers for diagnosing medical conditions, including concussions.
 
The study amassed a collection of biomarkers from the ASU student-athletes’ biofluids: blood, urine and saliva. A portion of that information will be used with data from helmet sensors that recorded the number, intensity and direction of head impacts during games and practices from the 2013-16 football teams. TGen researchers are using that combined data to potentially develop new diagnostic and therapeutic tools.
 
"Large datasets – examining different biofluids, isolation methods, detection platforms and analysis tools – are important to further our understanding of the extent and types of extracellular materials present when someone is injured or develops disease," said Dr. Kendall Van Keuren-Jensen, TGen Associate Professor of Neurogenomics and Co-Director of TGen’s Center for Noninvasive Diagnostics, and one of the study’s senior authors.
 
"Concussion safety, protocol and diagnostics are key components of Sun Devil Athletics’ student-athlete welfare program," said Ray Anderson, ASU Vice President for University Athletics. "Our partnership with TGen and the research conducted with these biomarkers will ideally provide doctors, trainers and administrators with a mechanism to proactively safeguard the health of our student-athletes. We are proud and excited to be a part of this ground-breaking study that will significantly expand research in this important area of scientific discovery."
 
Because the data is being published in an open access journal, they are available to aid other researchers studying how to develop tests for the detection and extent of injuries involving everything from automobile accidents to battlefield explosions.
 
Sensors in the ASU student-athlete football helmets were wirelessly connected to a field-level computer as part of the Sideline Response System – a head impact monitoring and research tool developed and deployed by Riddell, a leading provider of helmets to the NFL and major college football teams. 
 
TGen researchers used advanced genomic sequencing to identify the biomarkers of extracellular RNA (exRNA), strands of genetic material that are released from cells, and which can be detected in biofluids. TGen sequenced these biomarkers from among 183 blood samples, 204 urine samples and 46 saliva samples derived from among 55 consenting student-athletes, ages 18-25.
 
"The small RNA profile of each biofluid is distinct," the study said. "These data significantly contribute to the current number of sequenced exRNA samples from young healthy individuals."  
 
By identifying biofluids associated with healthy individuals, researchers hope to use these as standards for assessing disease and injury: "Establishing a baseline for individuals when they are healthy may provide the most meaningful comparisons when exploring early indicators of disease, severity or outcome," the study said.

TGen
www.tgen.org/home/news/2017-media-releases/tgen-asu-riddell-concussion-study-results.aspx#.WM1FeGTyv5Y
 

A blood test for autism

An algorithm based on levels of metabolites found in a blood sample can accurately predict whether a child is on the Autism spectrum of disorder (ASD), based upon a recent study. The algorithm, developed by researchers at Rensselaer Polytechnic Institute, is the first physiological test for autism and opens the door to earlier diagnosis and potential future development of therapeutics.
 
“Instead of looking at individual metabolites, we investigated patterns of several metabolites and found significant differences between metabolites of children with ASD and those that are neurotypical. These differences allow us to categorize whether an individual is on the Autism spectrum,” said Juergen Hahn, lead author, systems biologist, professor, and head of the Rensselaer Department of Biomedical Engineering. “By measuring 24 metabolites from a blood sample, this algorithm can tell whether or not an individual is on the Autism spectrum, and even to some degree where on the spectrum they land.”
 
Big data techniques applied to biomedical data found different patterns in metabolites relevant to two connected cellular pathways that have been hypothesized to be linked to ASD: the methionine cycle and the transulfuration pathway. The methionine cycle is linked to several cellular functions, including DNA methylation and epigenetics, and the transulfuration pathway results in the production of the antioxidant glutathione, decreasing oxidative stress.
 
Autism Spectrum Disorder is estimated to affect approximately 1.5 percent of individuals and is characterized as “a developmental disability caused by differences in the brain,” according to the Centers for Disease Control and Prevention. The physiological basis for ASD is not known, and genetic and environmental factors are both believed to play a role. People with ASD “may communicate, interact, behave, and learn in ways that are different from most other people.” According to the CDC, the total economic costs per year for children with ASD in the United States are estimated between $11.5 billion and $60.9 billion. Research shows that early intervention can improve development, but diagnosis currently depends on clinical observation of behavior, an obstacle to early diagnosis and treatment. Most children are not diagnosed with ASD until after age 4 years.

Rensselaer Polytechnic Institute
news.rpi.edu/content/2017/03/16/blood-test-autism