Integrative Cancer Epidemiology Group

The Integrative Cancer Epidemiology Group uses epidemiological methods to better understand carcinogenic processes and improve risk assessment for precision prevention. 


Professor Montse Garcia-Closas

Group Leader:

Integrative Cancer Epidemiology Headshot of Montse Garcia-Closas

Professor Montserrat Garcia-Closas is physician epidemiologist expert in genetic susceptibility, etiologic heterogeneity, and risk prediction for breast cancer. She co-leads the Cancer Epidemiology and Prevention Unit at ICR and Imperial College, and is a member and leader of several large international consortia in cancer epidemiology.

Researchers in this group

headshot of daniel adams .

Phone: +44 20 3437 6233

Email: [email protected]

Location: Sutton

Dr Daniel Adams joined The Generations Study research team in 2023 with Professor Garcia-Closas. A medical doctor by training, Daniel practiced as a General Practitioner in the South of England after obtaining his medical degree from Semmelweis University in Budapest, Hungary. His interest in data science led to a degree in Health Data Analytics and Machine Learning from Imperial College London. At the ICR, Daniel combines his clinical experience and data science training to analyse digital images of breast tissue using AI. He also conducts statistical analyses for breast cancer survival and risk factors.

Headshot of Tal Cohen .

Email: [email protected]

Location: Sutton

Tal joined the Generations Study research team in 2025 with Professor Garcia-Closas. After professional experience in large-scale automated data pipeline creation and management, he received his MSc in Epidemiology from The London School of Hygiene and Tropical Medicine after completing his thesis on the long-term drivers of interepidemic periods of dengue virus. His work at the ICR centres around creating and managing efficient data pipelines and responsible delivery of data to analysts in alignment with FAIR principles.

Penny Coulson headshot .

Phone: +44 20 8722 4196

Email: [email protected]

Location: Sutton

Penny joined The Generations Study research team in 2010 having transferred from being a Study Co-ordinator on the ICR Cancer Screening Evaluation Team. Responsible for managing pathology and mammographic density data among others, Penny understands the entire sample collection management system. She provides operational support for the day-to-day data collection as well as longitudinal cohort data for the research analysts.

Headshot of Ana Ferreira .

Phone: +44 20 3437 6319

Email: [email protected]

Location: Sutton

Ana joined The Generations Study research team in 2024 with Professor Garcia-Closas. A biomedical scientist by training, Ana holds a MSc in Experimental Pathology and has worked at the ICR for nearly ten years. She transferred from the Cancer Biomarkers Team where she investigated biomarkers of metastatic prostate cancer for the development of novel cancer therapies. Ana is responsible for the management of biological specimens and digital pathology processes within the study by establishing workflows and quality control metrics for scanning, storing and analysing the tissue slides. These will be used to understand how risk factors are related to different types of breast cancer, and to identify tissue biomarkers of transformation from benign breast disease to breast cancer.

Headshot of Reuben Frost .

Phone: +44 20 3437 6232

Email: [email protected]

Location: Sutton

Reuben joined The Generations Study research team in 2023 with Professor Garcia-Closas. Previously, he graduated from University of Oxford with a Masters in Mathematics and Statistics, completing his dissertation utilizing Markov Chain Monte Carlo methods to phase imputed genetic samples. Reuben's research focusses on evaluating the performance of models assessing breast cancer risk, and collaborating with other groups to improve these models. He also works on descriptive epidemiology studies, working to find patterns in cancer rates and risk factors in the UK population with the view of projecting these trends into the future.

Headshot of Sanjay Hegde .

Phone: +44 20 3437 6351

Email: [email protected]

Location: Sutton

Sanjay joined The Generations Study research team in 2024 working with Professor Garcia-Closas. He holds an MSc in Data Science from the University of Birmingham and has expertise in Python, Spark, SQL, and MS Azure, along with knowledge in Machine Learning and Large Language Models. Currently, Sanjay is engaged in Data Management and Transformation of Generations Study data systems to improve the use of data following FAIR principles.

.

Phone: +44 20 8722 4362

Email: [email protected]

Location: Sutton

Headshot of Jane Lebihan .

Phone: +44 20 8722 4394

Email: [email protected]

Location: Sutton

Jane joined The Generations Study research team in 2010 working as a PA/Research Administrator and is currently working as a Senior Research Administrator. Jane is responsible for the pathology collection of samples and pathology reports. These are requested from hospitals all around the country. Samples and pathology reports have been collected for breast and ovarian cancers. These samples are then processed in our laboratory in order to investigate risk and prognostic factors for these cancers and the data from the pathology reports are used by the study scientists.

Headshot of June Palmer .

Phone: +44 20 8722 4470

Email: [email protected]

Location: Sutton

June joined The Generations Study research team in 2016. Her role includes sending and receiving files from organisations such as the NHS and uploading them securely into SQL Server. She helps to implement online questionnaires for the Generations participants. The results are then fed into existing processes for use by the analysts in the team. She regularly extracts the data and pseudo anonymises it for use by outside collaborators.

Headshot of Zoey Richards .

Phone: +44 20 3437 6411

Email: [email protected]

Location: Sutton

Zoey joined The Generations Study research team in 2024 with Professor Garcia-Closas. She moved into the role after graduating from London School of Hygiene and Tropical Medicine with a MSc in Epidemiology where she wrote her dissertation on how physical proximity to health facilities impacted implant contraceptive use in Senegal. Zoey is working on increasing study access and awareness of the Generations Study. On the research side, she uses geospatial analyses to identify social and environmental risk factors for breast cancer to identify and help address health inequities through public health policy and interventions.

.

Email: [email protected]

Location: Sutton

Irina joined The Generations Study research team in 2024 as a PhD student to investigate tissue-based biomarkers on benign breast biopsies and the associations with future breast cancer. Previously she worked as an R&D Graduate Scientist in Data Science and AI at AstraZeneca, specialising in leveraging computer vision and artificial intelligence to analyse histopathology images to assist patient stratification and inform clinical research. Irina's research is aimed to integrate computational pathology and statistical modelling to assess breast cancer risk for women with benign breast diseases and explore tissue models to enhance our understanding of breast carcinogenesis.

Professor Montse Garcia-Closas's group have written 601 publications

Most recent new publication 3/2025

See all their publications

Recent discoveries from this group

02/04/25

In the largest and most comprehensive study of its kind, researchers have provided further evidence that a hormone responsible for regulating breast development acts as a risk factor for breast cancer in post-menopausal women.

By studying a large population, the researchers could identify groups of women for whom this hormone – called prolactin – is most strongly associated with breast cancer risk. Their findings will help advance the understanding of what causes breast cancer and could influence future approaches to risk prediction and prevention.

Scientists based at The Institute of Cancer Research, London, were involved in the international study, which was carried out by researchers across the United Kingdom, the United States, Canada and Australia.

Pooling data for a more comprehensive analysis

The study, which was funded by various sources, including the Breast Cancer Research Foundation and Breast Cancer Now, pooled data from five cohort studies, each of which used the resources of the Biomarkers in Breast Cancer Risk Prediction (B2Risk) consortium to follow individuals with common characteristics and track certain health outcomes over time. This gave the researchers access to information on 8,279 post-menopausal women who were breast cancer-free and aged, on average, 60–67 years at the time of enrolment.

The researchers collected blood samples from all participants at the start of the study so that they could measure plasma prolactin levels and analyse various tumour characteristics. They also gathered participant data on aspects such as body mass index (BMI), alcohol use and breastfeeding history through questionnaires and medical records.

DNA extracted from the blood samples was used to calculate a breast cancer polygenic risk score – an estimate of the person’s risk of developing the disease based on their genetic make-up. In addition, mammographic density – obtained through screening mammograms – was made available to the respective study centres from those who consented. Across the cohort studies, 3,441 of the women were diagnosed with invasive breast cancer.

The study, which was published in the journal Breast Cancer Research, revealed the clear relationship between prolactin levels and breast cancer risk. Lower prolactin concentrations (defined as below 7.91 ng/mL) did not seem to increase breast cancer risk, while higher concentrations (greater than 13.15 ng/mL) were associated with a risk approximately 20 per cent higher. While there were some variations in these associations across the cohorts, the results were generally consistent.

How hormone levels can reveal cancer risks

Although previous studies have explored the association between prolactin and breast cancer risk, this new analysis is strengthened by its larger population sample, which included nearly twice the number of post-menopausal women compared with any previous study. This allowed the researchers to detect more reliable patterns and ensure that they apply to a broader population.

The study has provided further evidence that post-menopausal women with higher plasma prolactin concentrations are at an increased risk of breast cancer. Interestingly, this risk was most significant among women using post-menopausal hormone therapy (PMH) at the time their blood was drawn, suggesting that prolactin may work with other hormones to influence breast cancer risk.  

The timing of the blood sample collection also came into play, with the association between prolactin and breast cancer risk being stronger for those whose blood was collected within the 10 years leading up to their cancer diagnosis. The researchers think that the samples taken further ahead of diagnosis may have shown a weaker association because they did not capture the hormonal changes that occur closer to the disease’s onset.

Overall, the findings confirm prolactin’s role in post-menopausal breast cancer risk. However, this was primarily observed in women who were current PMH users, with limited evidence of a similar risk in non-users. 

Understanding the role of BMI in breast cancer risk

The large sample population, which included women enrolled on the Breast Cancer Now Generations Study, based at the ICR, also gave the researchers the opportunity to explore factors that might modify the effect of prolactin on breast cancer risk – many of which had not been investigated before.

For instance, they found that BMI might influence the relationship between prolactin and breast cancer. The association appeared stronger in women with lower BMIs, suggesting that prolactin may interact with other hormonal factors related to body weight to affect breast cancer risk.

This supports other researchers’ findings showing BMI can influence sex hormone levels in post-menopausal women.

The researchers acknowledge the limitations of their data, which only represent post-menopausal women of European ancestry and are restricted to one prolactin measurement per person. However, they state that this study marks an important step towards personalised breast cancer prevention and tailored risk assessments, offering the potential for earlier detection and targeted interventions that could prolong and save lives.

Future steps for personalised breast cancer risk models

Professor Montse Garcia-Closas, co-author of the study and Group Leader in Integrative Cancer Epidemiology at the ICR, said:

“This study contributes to the substantial body of evidence linking prolactin to post-menopausal breast cancer risk and provides valuable insights into this complex relationship.

“The findings will allow us to identify specific groups of women for whom this association is particularly relevant. Identifying these groups will improve our understanding of the causes of breast cancer and help inform how prolactin might be used to enhance clinical breast cancer risk assessment models.

“As this field of research grows, further studies will be necessary to explore how prolactin interacts with other hormones and whether it could become a possible target for breast cancer prevention or treatment.”

Dr Simon Vincent, Director of Research, Support and Influencing at Breast Cancer Now, which helped fund the research, said:

“Thanks to data from multiple studies, including the Breast Cancer Now Generations Study, researchers have found that measuring prolactin levels may help us determine a women's risk of breast cancer. If those at higher risk of developing breast cancer are identified, personalised screening strategies could then be used to offer women who are most at risk more frequent screening and help ensure the disease is diagnosed earlier. This is crucial, as the sooner breast cancer is diagnosed, the more likely it is that treatment will be successful.

“There’s no single cause of breast cancer as it results from a combination of the way we live our lives, our genes and our environment. With many contributing factors, relating to female sex hormones, it is vital that we continue to build our understanding of how these hormones affect women’s risk of the disease.

“In addition to speaking with their GP, anyone concerned about their risk of breast cancer can get in touch with our expert nurses for information and support via our free and confidential helpline on 0808 800 6000 or visit breastcancernow.org.”