Preclinical Molecular Imaging Group

Dr Gabriela Kramer-Marek’s group uses cutting-edge biomedical imaging techniques to gain information about the way particular genes drive cancer progression.

Our group’s long-term goal is to develop specific biomarkers for detecting cancers and to evaluate these biomarkers in pre-clinical cancer models

Notwithstanding the remarkable clinical success of mAb-based treatment regimens, not all patients benefit from them. This can be attributed, at least in part, to the complexity of the tumour microenvironment and its considerable heterogeneity both in terms of the tumour and non-tumour cell components. These phenomena represent a huge challenge in identifying predictive biomarkers and stratifying patient populations for personalised therapy approaches.

Therefore, there is an urgent need to develop assays that will help in three ways:

  1. accurate patient selection
  2. understanding intrinsic resistance mechanisms or the emergence of acquired resistance following treatment initiation and
  3. choosing the most effective combination regimen in circumstances in which single-agent therapies are insufficiently effective.

Currently, the baseline expression level of antigens targeted by therapeutic mAbs can be analysed by methods such as: immunohistochemistry (IHC), flow cytometry, proteomics, or next-generation sequencing of tumour tissues acquired at diagnostic biopsy or intra-operatively. These techniques aid our understanding of how cancer cells adapt to treatment and become resistant, but such methods are inherently invasive, prone to sampling errors caused by inter- and intra-tumour heterogeneity of receptor expression within analysed biopsy specimens and do not lend themselves readily to repeated sampling.

Positron emission tomography (PET), using radiolabelled mAbs, antibody fragments or engineered protein scaffolds (immuno-PET), has the potential to acquire information non-invasively and can be highly complementary to analyses based on tissue acquisition. Accordingly, immuno-PET agents might accurately identify the presence and accessibility of the target and provide a rapid assessment of tumour response to a variety of treatments in a timely fashion (e.g. within 1-2 weeks of treatment initiation).

Furthermore, immuno-PET agents can provide information about the heterogeneity of both target expression and therapeutic response, which are increasingly recognised as key factors in treatment resistance. This especially relates to patients with advanced disease in whom target expression may vary from site to site and a biopsy of a single local or metastatic deposit may not accurately reflect the situation across the entire disease burden. Although introduction of immuno-PET into routine clinical practice may add complexity and increase costs, with appropriate use this imaging modality has the potential to identify patients likely to benefit from therapy and assess the efficacy of novel target-specific drugs.

Against this background, our research focuses on the development and characterisation of targeted-PET radiotracers, including protein-based theranostic agents that enable smart monitoring of immunotherapies and expand opportunities for personalised medicine approaches.

Early diagnosis and individualized therapy have been recognized as crucial for the improvement of cancer treatment outcome. While proper molecular characterization of individual tumour types facilitates choice of the right therapeutic strategies, early assessment of tumour response to therapy could allow the physicians to discontinue ineffective treatment and offer the patient a more promising alternative. Therefore, the role of molecular imaging in elucidating molecular pathways involved in cancer progression and the ability to select the most effective therapy based on the unique biologic characteristics of the patient and the molecular properties of a tumour are undoubtedly of paramount importance.

The mission of this group is to investigate innovative imaging probes and apply them to novel orthotopic or metastatic models that are target driven, to gain information of the way particular oncogenes drive cancer progression through signalling pathways that can be imaged in vivo and, correlate it with target level ex vivo. Such an approach enables non-invasive assessment of biochemical target levels, target modulation and provides opportunities to optimize the drug dosing for maximum therapeutic effect, which leads to the development of better strategies for the more precise delivery of medicine.

The long term goal of our research is to develop specific imaging cancer biomarkers, especially for positron emission tomography (PET) as well as optical imaging and, evaluate these biomarkers in pre-clinical cancer models. Significant efforts are directed towards validating biomarkers for early prediction of treatment response, with the focus on new targeted therapies (such as inhibition of cell signalling pathways).

Our initial portfolio of imaging agents include radiolabelled affibody molecules, TK inhibitors and, conventional tracers that monitor universal markers of tumour physiology.

We are actively supported by other groups from the Division of Radiotherapy and Imaging as well as the Division of Cancer Therapeutics. Moreover, our close association with The Royal Marsden NHS Foundation Trust enables rapid translation of our research to early clinical studies and ensures a fast transition of know-how from the research laboratory to the patient bedside.

Dr Gabriela Kramer-Marek

Group Leader:

Preclinical Molecular Imaging Gabriela Kramer-Marek

Dr Gabriela Kramer-Marek is investigating new ways of molecular imaging in order to predict an individual patient’s response to treatment. Before moving to the ICR, she developed a new approach for non-invasive assessment of HER2 expression in breast cancer.

Researchers in this group

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Phone: 020 3437 6376

Email: [email protected]

Location: Sutton

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Phone: +44 20 3437 6785

Email: [email protected]

Location: Sutton

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Phone: +44 20 3437 6857

Email: [email protected]

Location: Sutton

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Phone: 020 3437 4549

Email: [email protected]

Location: Sutton

Dr Gabriela Kramer-Marek's group have written 63 publications

Most recent new publication 10/2024

See all their publications

Recent discoveries from this group

20/12/24

Sentinal4D's leadership team Georgia Mitsi, Chris Bakal and Matt de Vries

Image: Georgia Mitsi, Chris Bakal and Matt de Vries

Sentinal4D, a spinout company from The Institute of Cancer Research, London, has been announced to the public – having closed its first round of funding and appointed its foundational leadership team.

The highly innovative new company aims to accelerate drug discovery and development to target drugs to patients, powered via patented artificial intelligence-driven methods for personalised therapeutics, with a focus on oncology.

The know-how in Sentinal4D is built on years of data and expertise developed in the lab of Professor Chris Bakal at The Institute of Cancer Research (ICR). Professor Bakal is a world-leading expert in the role of cell shape in cancer and will be Sentinal4D’s Chief Scientific Officer.

Sentinal4D aims to eliminate the guesswork and expedite drug discovery by providing insights that will increase the chances of success in the subsequent phases of drug development.

The company’s approach involves high-throughput 3D imaging of cancer models pre- and post-therapeutic intervention, a proprietary AI-based 3D computer vision model, and integration with multimodal data.

Sentinal4D products offer a variety of predictions about response, efficacy and toxicity to potential new drugs in addition to which patient subsets might benefit the most from a certain drug or combination of drugs.

Funders supporting Sentinal4D at its launch include Twin Path Ventures, Arben Ventures and angel investors. Sentinal4D was recognised and supported by the Cancer Tech Accelerator, which was provided by Capital Enterprise and supported and funded by Capital Research UK, Cancer Research Horizons and the UK Research and Innovation Medical Research Council.

The company will be led by Chief Executive Officer and co-founder Georgia Mitsi, an experienced pharmaceutical executive with specific expertise in new technologies and innovation and a proven track record on partnerships. Dr Georgia Mitsi was instrumental in completing the tech transfer and closing the pre-seed round.

The team also includes Matt de Vries (co-founder and Chief Technology Officer), an entrepreneurial scientist with expertise in AI models who was trained in Professor Bakal’s laboratory.

Matt has developed sophisticated ‘Multiple Instance Learning’ models to analyse 3D shapes of cancer cells from both still images and videos. His work has been accepted in top computational conferences such as MICCAI and NeurIPS, and published in Cell Systems. Matt also won the Early Career Entrepreneur of the Year awarded by Cancer Research Horizons.

Sentinal4D is the second spinout company to be announced by the ICR this year, and follows recent spinout successes including the foundation of Monte Rosa Therapeutics, which is now listed on New York’s NASDAQ stock exchange.

Research underpinning Sentinal4D’s foundation was supported by the ICR and funders including Cancer Research UK.

Dr Jon Wilkinson, Director of Business and Innovation at The Institute of Cancer Research, London, said:

“We’re excited to announce the formation of ICR spinout company Sentinal4D, which is taking a new and highly innovative approach in using 3D-imaging analysis powered by AI for precision therapeutics in oncology. Sentinal4D is the latest of several new spinout companies to emerge from our work at the ICR, as we continue to encourage scientists to found companies as part of the mix of what they do.”

Professor Chris Bakal, Professor of Dynamical Cell Systems at The Institute of Cancer Research, London, and scientific co-founder of Sentinal4D, said:

“Sentinal4D brings together several strands of expertise we’ve been building in the lab for a number of years – including a deepening understanding of the role of cellular shape-shifting in cancer, innovative new methods of drug discovery, and AI-driven analysis of data including image data. We’re delighted to see it launch following a successful round of pre-seed funding.”

Dr Georgia Mitsi, CEO of Sentinal4D, said:

“For many years I have been working with start-ups and innovative technologies. Sentinal4D’s cutting-edge technology enables a new approach to drug discovery and development that could transform the traditional ways of working by adapting a biology-first, holistic strategy.

“Considering the poor success rates and challenges in drug development, we now have the opportunity to finally realise the vision for personalised therapeutics and bring effective treatments to patients faster, better and cheaper. With all the hype around AI, at Sentinal4D we strive to differentiate ourselves by emphasising that high quality, deep level data is the key to predictive modelling. I am looking forward to taking the company to the next level and start working with other innovative companies that share the same vision.”