Improved understanding of the pathology of dwarfism may lead to new treatment targets

Pseudoachondroplasia (PSACH) is a severe inherited dwarfing condition characterised by disproportionate short stature, joint laxity, pain, and early onset osteoarthritis. In PSACH, a genetic mutation leads to abnormal retention of cartilage oligomeric matrix protein (COMP) within the endoplasmic reticulum (ER) of cartilage-producing cells (chondrocytes), which interferes with function and cell viability. In a report, investigators describe how this protein accumulation results in “ER stress” and initiates a host of pathologic changes. These findings may open up new ways to treat PSACH and other ER-stress-related conditions.

“This is the first study linking ER stress to midline 1 protein (MID1), a microtubule stabilizer that increases mammalian target of rapamycin complex 1 (mTORC1) signalling in chondrocytes and other cell types. This finding has significant implications for cellular functions including autophagy, protein synthesis, and potentially cellular viability. These results identify new therapeutic targets for this pathologic process in a wide spectrum of ER-stress disorders such as type 2 diabetes, Alzheimer disease, and tuberculosis,” explained Karen L. Posey, PhD, Department of Pediatrics, McGovern Medical School at The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA.

PSACH symptoms generally are recognized beginning at two years of age. Patients with PSACH have normal intelligence and cranio-facial features. PSACH is caused by mutations in the gene encoding the cartilage oligomeric matrix protein (COMP). ER stress occurs when abnormal (unfolded or misfolded) COMP (MT-COMP) accumulates in the rough endoplasmic reticulum of chondrocytes. Rough ER, the portion of ER displaying ribosomes, is the network of membranous tubules within cells associated with protein and lipid synthesis and export.

In previous studies, Dr. Posey and her colleagues have investigated chondrocyte pathology in the growth plates of dwarf mice that express MT-COMP, in cultured rat chondrosarcoma (RCS) cells that express human MT-COMP, as well as in cultured cartilage nodules from PSACH patients. The mice replicate many of the clinical features and chondrocyte pathology reported in patients with PSACH.

In the current study, the researchers showed increased levels of MID1 protein in chondrocytes from the mutant dwarf mice as well as in cells from human PSACH patients. They also found that ER-stress-inducing drugs increased MID1 signalling, although oxidative stress did not.

The up-regulation of MID1 was associated with increased mTORC1 signalling in the growth plates of the dwarf mice. Rapamycin decreased intracellular retention of MT-COMP and decreased mTORC1 signaling. The mTOR pathway is activated during various cellular processes (eg, tumor formation and angiogenesis, insulin resistance, adipogenesis, and T-lymphocyte activation) and is dysregulated in diseases such as cancer and type 2 diabetes.

The results of this work show that MID1, mTORC1 signalling, the microtubule network, protein synthesis, inflammation, and autophagy form a complex multifaceted response to protein accumulation in the ER when clearance efforts fail and MID1 may act as a pro-survival factor.
EurekAlertwww.eurekalert.org/pub_releases/2018-12/e-iuo121018.php

New mechanism for dysfunctional insulin release identified

In a new study, researchers at Uppsala University have identified a previously unknown mechanism that regulates release of insulin, a hormone that lowers blood glucose levels, from the β-cells (beta cells) of the pancreas. This mechanism is disrupted in type 2 diabetes. The scientists hope this finding will be used to develop new treatments against the disease.

Globally, more than 400 million people suffer from type 2 diabetes. One of the main problems is inadequate secretion, from the β-cells of the pancreas, of insulin hormone, which lowers blood sugar (blood glucose).

It has been known for some time that im-paired insulin secretion is due to an inability of the insulin-containing secretory granules to attach themselves (‘dock’) to, and then fuse with, the cell membrane. As a result, less insulin reaches the blood and, accordingly, the body becomes less able to reduce blood glucose levels sufficiently.

In the new study, the scientists identify a protein, Sac2, that is found at lower levels in patients with type 2 diabetes. In experiments, the researchers show that lowering the levels of this protein by experimental means leads to reduced insulin secretion from the β-cells. By using advanced microscopy techniques, the researchers were able to show that Sac2 is an important component on the surface of the insulin-containing secretory granules, where it modifies the fat composition of the membrane. In the absence of Sac2, a specific fat molecule accumulates on the surface of the secretory granules. This incapacitates them, so that they cannot dock to the cell membrane, which in turn causes insulin secretion to be reduced.

This study shows, first and foremost, that reduced levels of a single protein gives rise to β-cells that exhibit several defects associated with type 2 diabetes. But it also shows that the fat composition of the insulin-containing secretory granules is of importance for their ability to be released from the cells. The scientists now hope that it will be possible to use these findings to develop new ways of treating type 2 diabetes.
Uppsala Universitywww.uu.se/en/news-media/press-releases/press-release/?id=4814&area=3,8&typ=pm&lang=en

Gene links children with physical and intellectual disabilities

Modern science and data sharing converged to underpin a study led by the Translational Genomics Research Institute (TGen), an affiliate of City of Hope, that identified a gene associated with a rare condition that results in physical and intellectual disabilities of children.

The results suggest that rare variants in the gene DDX6 are associated with a significant disruption in the development of the central nervous system, governing such basic skills as the ability to walk and talk.

“One of the most powerful revelations of this study is the identification of pathogenic mutations in DDX6; a gene not previously linked to childhood disorders and one which appears to play a key role in early brain development,” said Chris Balak, a research associate in TGen’s Neurogenomics Division, and the study’s lead author.

Balak zeroed in on DDX6 by comparing the sequencing results from a 5-year-old Arizona girl who was seen at TGen’s Center for Rare Childhood Disorders (the Center) with those identified in large population databases and to the genomes of her parents, who are healthy. Following this revelation, and preliminary findings posted on a website shared by investigators worldwide, TGen identified four similar cases: two in the U.S., and one each in France and the Netherlands.

These children’s conditions were characterized by intellectual disability, developmental delay, speech and feeding difficulties, low muscle strength with difficulties walking, mild-to-moderate cardiac anomalies, and specific facial features.

“Something we are quite proud of with this work is our combined effort with other physi-
cians and scientists in Europe to demonstrate that changes in this gene cause this rare syndrome in multiple patients,” said Dr. Matt Huentelman, TGen Professor of Neruogenomics, Scientific Director of the Center, and one of the study’s senior authors. “Collectively, our clinical and laboratory data describe a new brain development syndrome caused by genetic changes in DDX6.”
TGenwww.tgen.org/news/2019/august/15/tgen-identifies-ddx6-linked-to-disabilities/

Liquid biopsy has prognostic role in colorectal cancer and potential for guiding therapy

Liquid biopsy is likely to play an increasing role in identifying patients with colorectal cancer (CRC) who are likely to relapse after surgery, and has potential for optimising treatment for individual patients, according to new research.

Of 805 patients in the phase III IDEA-FRANCE trial who had liquid biopsy prior to adjuvant chemotherapy for stage III CRC, 109 (13.5%) had circulating tumour DNA (ctDNA) in their blood.

In this group, two-year disease-free survival (DFS) was 64%, compared to 82% in those who were ctDNA negative.

“In this large prospective trial, we confirmed that ctDNA is an independent prognostic factor in colorectal cancer and that approximately six out of 10 patients who are ctDNA positive will remain disease-free two years after standard adjuvant chemotherapy, compared to eight out of 10 of those who are ctDNA negative,” said study author Prof Julien Taieb, Hôpital European Georges Pompidou, Paris, France.

IDEA-FRANCE also showed that six months of adjuvant treatment was superior to three months in both ctDNA positive and negative patients, and that ctDNA positive patients treated for six months had a similar prognosis to ctDNA negative patients treated for three months.

Adjuvant therapy was FOLFOX (folinic acid, fluorouracil and oxaliplatin) in 90% of cases.

“ctDNA testing did not predict which patients should have three or six months of adjuvant chemotherapy and there is continuing debate over the optimal type and duration of treatment for patients who are ctDNA positive, but we do now know that ctDNA is a major prognostic factor which will be very useful in stratifying patients and driving future trials of colorectal cancer,” said Taieb.

“In all subgroups, ctDNA positive patients who only had three months of adjuvant therapy had the worst prognosis,” he added.

Thirty to 50% of patients with localised CRC relapse despite primary optimal therapy, and a second study reported at the ESMO Congress 2019 investigated whether ctDNA can be used to detect minimal residual disease and identify those at risk of recurrence.

The results showed that post-surgical plasma ctDNA predicted metastatic relapse a median of 10 months before recurrence was visible on radiological scans (hazard ratio 11.33; p=0.0001).

The researchers concluded that plasma ctDNA testing opens up an opportunity for precision treatment of patients with localised CRC.

Commenting on the results of the CRC presentations, Prof Alberto Bardelli, University of Turin, Italy, said: “When patients have surgery for early stage colorectal cancer, doubts remain as to whether the disease has been completely eradicated and, as a result, patients often receive adjuvant chemotherapy. However, the IDEA-FRANCE results have shown we can now use a blood test to say whether the patient is clear or not.”
ecancerecancer.org/en/news/16682-esmo-2019-liquid-biopsy-has-prognostic-role-in-colorectal-cancer-and-potential-for-guiding-therapy

New calculator will help clinicians diagnose diabetes more accurately

A new calculator developed by the University of Exeter will help clinicians classify whether a patient has type 1 or type 2 diabetes, ensuring they get the best treatment and reducing complications.

The calculator uses a model that takes into account available data about the patient, as well as blood test results. It can be used to identify if a person is likely to have type 1 diabetes, to reduce misdiagnosis. Former Prime Minister Theresa May was initially diagnosed with type 2 diabetes. Only when tablet treatment failed to work was she re-diagnosed with type 1.

It is often difficult for clinicians to diagnose which type of diabetes a patient has. While blood tests such as antibodies against the cells that make insulin, or a person’s genetic risk of type 1 diabetes may help diagnosis,  these tests do not give a diagnosis on their own, and may be interpreted very differently depending on whether or not a person has other features of type 1 diabetes. The new calculator, currently available in beta format, combines available information from blood tests with a person’s age of diagnosis and BMI for a personalised medicine approach. The calculator was developed by researchers at the universities of Exeter, Oxford and Dundee.

The new calculator will build on the success of a similar calculator previously developed at Exeter, to help clinicians determine whether a patient has the diabetes subtype MODY, caused by a single gene. The online calculator has been used by more than 100,000 people, with more than 9,000 people downloading the calculator phone app Diabetes Diagnostics, which will be updated to include the new calculator. New research recently presented at the European Association for the Study of Diabetes conference in Barcelona has shown that almost half of all referrals sent to the UK diagnostic laboratory for MODY now report using the calculator, and those that report using the calculator have a higher detection rate compared with those that do not.
Dr Angus Jones, of the University of Exeter Medical School, who led the research, said: “The right diagnosis in diabetes is absolutely crucial to getting the best outcomes for patients, as treatment is very different in different types of diabetes. However in some people it can be very difficult to know what type of diabetes they have. Our new calculator can help clinicians by combining different features to give them the probability a person will have type 1 diabetes, and assess whether additional tests are likely to be helpful.”
The new beta format calculator can be accessed here: www.diabetesgenes.org/t1dt2d-prediction-model/
University of Exeterwww.exeter.ac.uk/news/research/title_754422_en.html

Predicting cancer versus autism risk in PTEN patients

In a new study, a team of researchers led by Charis Eng, M.D., Ph.D., Chair of Cleveland Clinic’s Genomic Medicine Institute, identified a metabolite that may predict whether individuals with PTEN mutations will develop cancer or autism spectrum disorder (ASD).

Germline mutations of the tumour suppressor gene PTEN are associated with a spectrum of rare genetic disorders that increase the risk of certain cancers, cognitive and behavioural deficits, benign growths and tumours (i.e., hamartomas), and macrocephaly. These disorders are referred to collectively as PTEN hamartoma tumour syndrome (PHTS), but clinical manifestations vary greatly among patients and often are difficult to anticipate.

For example, subsets of Cowden syndrome (CS) and Bannayan-Riley-Ruvalcaba syndrome (BRRS), two well-defined disorders on the PHTS spectrum, are characterized by either a high risk of certain cancers or ASD. There are functional and structural differences between PTEN mutations associated with ASD and those associated with cancer. However, a biomarker that could proactively determine if a patient with CS/BRRS will develop cancer or ASD has not yet been identified.
Previous studies have established metabolic dysregulation as one of the hallmarks of cancer. Specifically, germline variants in the SDHx genes cause an accumulation of the metabolite succinate, which has been linked to tumorigenesis. Some patients with PTEN mutations have been found to have succinate accumulation despite the lack of SDHx mutations, suggesting that variations in metabolite levels may indicate susceptibility to cancer versus ASD.
To investigate this further, Dr. Eng’s team analyzed the metabolite levels of 511 patients with CS, BRRS, or Cowden-like syndrome compared to controls. The results suggest that certain metabolites are associated with specific mutations and/or clinical features.
In particular, they discovered that decreased levels of fumarate, a metabolite formed from succinate, was more strongly associated with ASD or other developmental disorders compared to cancer in individuals with PTEN mutations. These findings indicate that certain metabolites, such as fumarate, may serve as predictive biomarkers that could distinguish patients who will develop neurodevelopmental disorders from those who will develop cancer.
“By identifying a way to differentiate those with germline PTEN mutations who develop cancer and those who develop autism, this provides clinicians with a MedicalXpress.
MedicalXpressmedicalxpress.com/news/2019-09-cancer-autism-pten-patients.html

New blood test capable of detecting multiple types of cancer

A new blood test in development has shown ability to screen for numerous types of cancer with a high degree of accuracy, a trial of the test shows.

The test, developed by GRAIL, Inc., uses next-generation sequencing technology to probe DNA for tiny chemical tags (methy-lation) that influence whether genes are active or inactive. When applied to nearly 3,600 blood samples – some from patients with cancer, some from people who had not been diagnosed with cancer at the time of the blood draw – the test successfully picked up a cancer signal from the cancer patient samples, and correctly identified the tissue from where the cancer began (the tissue of origin). The test’s specificity – its ability to return a positive result only when cancer is actually present – was high, as was its ability to pinpoint the organ or tissue of origin, researchers found.

The new test looks for DNA, which cancer cells shed into the bloodstream when they die. In contrast to “liquid biopsies,” which detect genetic mutations or other cancer-related alterations in DNA, the technology focuses on modifications to DNA known as methyl groups. Methyl groups are chemical units that can be attached to DNA, in a process called methylation, to control which genes are “on” and which are “off.” Abnormal patterns of methylation turn out to be, in many cases, more indicative of cancer – and cancer type – than mutations are. The new test zeroes in on portions of the genome where abnormal methylation patterns are found in cancer cells.

“Our previous work indicated that methylation-based assays outperform traditional DNA-sequencing approaches to detecting multiple forms of cancer in blood samples,” said the study’s lead author, Geoffrey Oxnard, MD, of Dana-Farber. “The results of the new study demonstrate that such assays are a feasible way of screening people for cancer.”

In the study, investigators analysed cell-free DNA (DNA that had once been confined to cells but had entered the bloodstream upon the cells’ death) in 3,583 blood samples, including 1,530 from patients diagnosed with cancer and 2,053 from people without cancer. The patient samples comprised more than 20 types of cancer, including hormone receptor-negative breast, colorectal, esophageal, gallbladder, gastric, head and neck, lung, lymphoid leukemia, multiple myeloma, ovarian, and pancreatic cancer.

The overall specificity was 99.4%, meaning only 0.6% of the results incorrectly indicated that cancer was present. The sensitivity of the assay for detecting a pre-specified high mortality cancers (the percent of blood samples from these patients that tested positive for cancer) was 76%. Within this group, the sensitivity was 32% for patients with stage I cancer; 76% for those with stage II; 85% for stage III; and 93% for stage IV. Sensitivity across all cancer types was 55%, with similar increases in detection by stage. For the 97% of samples that returned a tissue of origin result, the test correctly identified the organ or tissue of origin in 89% of cases.

Detecting even a modest percent of common cancers early could translate into many patients who may be able to receive more effective treatment if the test were in wide use, Oxnard remarked.

Dana-Farber Cancer Institutewww.dana-farber.org/newsroom/news-releases/2019/new-blood-test-capable-of-detecting-multiple-types-of-cancer/

Artificial intelligence to diagnose genetic diseases

Researchers at Rady Children’s Institute for Genomic Medicine (RCIGM) have utilized automated machine-learning and clinical natural language processing (CNLP) to diagnose rare genetic diseases in record time. This new method is speeding answers to physicians caring for infants in intensive care and opening the door to increased use of genome sequencing as a first-line diagnostic test for babies with cryptic conditions.

“Some people call this artificial intelligence, we call it augmented intelligence,” said Stephen Kingsmore, MD, DSc, President and CEO of RCIGM. “Patient care will always begin and end with the doctor. By harnessing the power of technology, we can quickly and accurately determine the root cause of genetic diseases. We rapidly provide this critical information to intensive care physicians so they can focus on personalizing care for babies who are struggling to survive.”

The workflow and research were led by the RCIGM team in collaboration with leading technology and data-science developers —Alexion, Clinithink, Diploid, Fabric Genomics and Illumina.

Dr. Kingsmore’s team has pioneered a rapid Whole Genome Sequencing process to deliver genetic test results to neonatal and paediatric intensive care (NICU/PICU) physicians to guide medical intervention. RCIGM is the research arm of Rady Children’s Hospital-San Diego.

By reducing the need for labour-intensive manual analysis of genomic data, the supervised automated pipeline provided significant time-savings. In February 2018, the same team achieved the Guinness World Record for fastest diagnosis through whole genome sequencing. Of the automated runs, the fastest times – averaging 19 hours – were achieved using augmented intelligence.

“This is truly pioneering work by the RCIGM team—saving the lives of very sick newborn babies by using AI to rapidly and accurately analyse their whole genome sequence “ says Eric Topol, MD, Professor of Molecular Medicine at Scripps Research and author of the new book Deep Medicine.

RCIGM has optimized and integrated several time-saving technologies into a rapid Whole Genome Sequencing (rWGS) process to screen a child’s entire genetic makeup for thousands of genetic anomalies from a blood sample.

Key components in the rWGS pipeline come from Illumina, the global leader in DNA sequencing, including Nextera DNA Flex library preparation, whole genome sequencing via the NovaSeq 6000 and the S1 flow cell format. Speed and accuracy are enhanced by Illumina’s DRAGEN (Dynamic Read Analysis for GENomics) Bio-IT Platform.

Other pipeline elements include Clinithink’s clinical natural language processing platform CliX ENRICH that quickly combs through a patient’s electronic medical record to automatically extract comprehensive patient phenotype information.

Another core element of the machine learning system is MOON by Diploid. The platform automates genome interpretation using AI to automatically filter and rank likely pathogenic variants. Deep phenotype integration, based on natural language processing of the medical literature, is one of the key features driving this automated interpretation. MOON takes five minutes to suggest the causal mutation out of the 4.5 million variants in a whole genome.

In addition, Alexion’s rare disease and data science expertise enabled the translation of clinical information into a computable format for guided variant interpretation.

As part of this study, the genetic sequencing data was fed into automated computational platforms under the supervision of researchers. For comparison and verification, clinical medical geneticists on the team used Fabric Genomics’ AI-based clinical decision support software, OPAL (now called Fabric Enterprise)—to confirm the output of the automated pipeline. Fabric software is part of RCIGM’s standard analysis and interpretation workflow.

The study titled “Diagnosis of genetic diseases in seriously ill children by rapid whole-genome sequencing and automated phenotyping and interpretation,” found that automated, retrospective diagnoses concurred with expert manual interpretation (97 percent recall, 99 percent precision in 95 children with 97 genetic diseases).

Researchers concluded that genome sequen-cing with automated phenotyping and interpretation—in a median 20:10 hours—may spur use in intensive care units, thereby enabling timely and precise medical care. “Using machine-learning platforms doesn’t replace human experts. Instead it augments their capabilities,” said Michelle Clark, PhD, statistical scientist at RCIGM and the first author of the study. “By informing timely targeted treatments, rapid genome sequencing can improve the outcomes of seriously ill children with genetic diseases.”
Rady Children’s Institutewww.radygenomics.org/category/news/pr/

Liquid biopsy blood test improves breast cancer diagnostics

A new type of blood test for breast cancer could help avoid thousands of unnecessary surgeries and otherwise precisely monitor disease progression, according to a study led by the Translational Genomics Research Institute (TGen) and Mayo Clinic in Arizona.

The study suggests that the test called TARDIS — TARgeted DIgital Sequencing — is as much as 100 times more sensitive than other blood-based cancer monitoring tests.

TARDIS is a “liquid biopsy” that specifically identifies and quantifies small fragments of cancer DNA circulating in the patient’s bloodstream, known as circulating tumour DNA (ctDNA). According to the study, TARDIS detected ctDNA in as low as 2 parts per 100,000 in patient blood.
“By precisely measuring ctDNA, this test can detect the presence of residual cancer, and inform physicians if cancer has been successfully eradicated by treatment,” said Muhammed Murtaza, M.B.B.S., Ph.D., Assistant Professor and Co-Director of TGen’s Center for Noninvasive Diagnostics. He also holds a joint appointment on the Research Faculty at Mayo Clinic in Arizona, and is one of the study’s senior authors.

For example, Dr. Murtaza explained, TARDIS is precise enough to tell if early stage breast cancer patients have responded well to pre-operative drug therapy. It is more sensitive than the current method of determining response to drug therapy using imaging.

“This has enormous implications for women with breast cancer. This test could help plan the timing and extent of surgical resection and radiation therapy after patients have received pre-operative therapy,” said Dr. Barbara A. Pockaj, M.D., a surgical oncologist who specializes in breast and melanoma cancer patients at Mayo Clinic in Arizona, and is the study’s other senior author. Dr. Pockaj is the Michael M. Eisenberg professor of surgery and the chair of the Breast Cancer Interest Group (BIG), a collaboration between researchers at Mayo, TGen and ASU.

Unlike traditional biopsies, which only produce results from one place at one time, liquid biopsies use a simple blood draw, and so could safely be performed repeatedly, as often as needed, to detect a patient’s disease status.

“TARDIS is a game changer for response monitoring and residual disease detection in early breast cancer treated with curative intent. The sensitivity and specificity of patient-specific TARDIS panels will allow us to tell very early, probably after one cycle, whether neo-adjuvant (before surgery) therapy is working and will also enable detecting micro-metastatic disease and risk-adapted treatment after completing neo-adjuvant therapy,” said Dr. Caldas, who also is Senior Group Leader at the Cancer Research UK Cambridge Institute, and one of the study’s contributing authors.

Following further clinical testing and trials, TARDIS could someday be routinely used for monitoring patients during cancer treatment, and discovering when patients are essentially cured and cancer free.

“The results of these tests could be used to individualize cancer therapy avoiding overtreatment in some cases and under treatment in others,” Dr. Murtaza said. “The central premise of our research is whether we can develop a blood test that can tell patients who have been completely cured apart from patients who have residual disease. We wondered whether we can see clearance of ctDNA from blood in patients who respond well to pre-surgical treatment.”

Current tests and imaging lack the sensitivity needed to make this determination.

“Fragments of ctDNA shed into blood by tumours carry the same cancer-specific mutations as the tumour cells, giving us a way to measure the tumour,” said Bradon McDonald, a computational scientist in Dr. Murtaza’s lab, and the study’s first author.

“The problem is that ctDNA levels can be so low in non-metastatic cancer patients, there are often just not enough fragments of ctDNA in a single blood sample to reliably detect any one mutation. This is especially true in the residual disease setting, when there is no obvious tumour left during or after treatment,” McDonald said. “So, instead of focusing on a single mutation from every patient, we decided to integrate the results of dozens of mutations from each patient.”
Translational Genomics Research Institutewww.tgen.org/news/2019/august/07/new-ctdna-blood-test-for-cancer/

Clinical-grade computational pathology using weakly supervised deep learning on whole slide images

The development of decision support systems for pathology and their deployment in clinical practice have been hindered by the need for large manually annotated datasets.
To overcome this problem, the authors present a multiple instance learning-based deep learning system that uses only the reported diagnoses as labels for training, thereby avoiding expensive and time-consuming pixel-wise manual annotations. We evaluated this framework at scale on a dataset of 44,732 whole slide images from 15,187 patients without any form of data curation. Tests on prostate cancer, basal cell carcinoma and breast cancer metastases to axillary lymph nodes resulted in areas under the curve above 0.98 for all cancer types. Its clinical application would allow pathologists to exclude 65-75% of slides while retaining 100% sensitivity. The results show that this system has the ability to train accurate classification models at unprecedented scale, laying the foundation for the deployment of computational decision support systems in clinical practice.
NCBIwww.ncbi.nlm.nih.gov/pubmed/31308507