Locations:
Search IconSearch
October 3, 2019/Cancer

Predicting Cancer Versus Autism Risk in Patients With PTEN Mutations

Biomarker may help individualize treatment

research

In a new study published in American Journal of Human Genetics, a team of researchers led by Charis Eng, MD, PhD, 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).

Advertisement

Cleveland Clinic is a non-profit academic medical center. Advertising on our site helps support our mission. We do not endorse non-Cleveland Clinic products or services. Policy

Germline mutations of the tumor suppressor gene PTEN are associated with a spectrum of rare genetic disorders that increase the risk of certain cancers, cognitive and behavioral deficits, benign growths and tumors (i.e., hamartomas) and macrocephaly. These disorders are referred to collectively as PTEN hamartoma tumor 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.

A potential biomarker

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.

Advertisement

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 new tool to better tailor treatments to individual patients,” says Dr. Eng.

Note: This article was originally published here.

Advertisement

Related Articles

Woman wearing pink scarf
January 17, 2025/Cancer/News & Insight
Exceptional Responders to Metastatic Breast Cancer Treatment Characterized

Findings may guide future research and personalized treatments

Tumor-Infiltrating Lymphocytes (TIL) therapy
January 6, 2025/Cancer/News & Insight
Tumor-Infiltrating Lymphocytes Therapy Now Available for Treating Unresectable or Metastatic Melanoma

Cleveland Clinic Cancer Institute among select group of centers to administer highly personalized treatment

Woman with breast cancer
January 2, 2025/Cancer/News & Insight
Real-World Insights of KEYNOTE-522 Regimen Adoption for Treating Triple-Negative Breast Cancer

Real-world results reporting aims to make treatments safer and more effective

DNA strand
December 31, 2024/Cancer/News & Insight
New Data Further Support Breast Cancer Polygenic Risk Score

Ongoing clinical validation in diverse populations refine breast cancer risk substratification

Dr. Dermawan
December 24, 2024/Cancer/News & Insight
New Genomic Models for Leiomyosarcoma Treatment (Podcast)

Soft tissue pathologist discusses research into incorporating genomic data to improve risk stratification

Dr. Shahzad Raza
December 18, 2024/Cancer/News & Insight
Researchers Explore Prognostic Value of Transcriptomic Data in Multiple Myeloma

Prediction and bioinformatic data could prove valuable for therapeutic interventions targeting this malignancy

3D rendering of bispecific antibodies
December 17, 2024/Cancer/Blood Cancers
Efficacy and Safety Outcomes of Bispecific Antibodies

Study measures real-world outcomes for relapsed or refractory large B-cell lymphoma

Ad