Molecular and Systems Oncology Group

Dr Paul Huang’s group aims to understand how networks of signalling-proteins control tumour progression and drug resistance in cancer.

Our group seeks to understand the underlying reasons as to why tumours go on to develop resistance and find new ways to effectively treat patients who relapse as a result of acquired drug resistance.

Professor Paul Huang

Group Leader:

Molecular and Systems Oncology Dr Paul Huang

Professor Paul Huang uses systems biology and molecular pathology to study drug resistance in sarcomas and lung cancer. He trained at Imperial College London and Massachusetts Institute of Technology, and was awarded a Sir Henry Wellcome Fellowship in 2009 and a Cancer Research UK Career Establishment Award in 2015.

Researchers in this group

Yeasmin .

Phone: +44 20 3437 6659

Email: [email protected]

Location: Sutton

I am a higher scientific officer. My work involves Nanostring gene expression analysis to establish molecular signatures or biomarkers for targeted therapy response in sarcoma trials.

Sara Arfan .

Email: [email protected]

Location: Sutton

I am PhD student focusing on understanding angiosarcomas. My work involves molecular profiling of angiosarcoma patient samples to better understand mechanisms of treatment response and resistance and identify potential biomarkers.

Amani Arthur .

Email: [email protected]

Location: Sutton

I am currently working on utilising radiogenomics to understand heterogeneity and therapy response in soft tissue sarcoma, and whether combining imaging and molecular data can improve patient outcomes.

Silvia Brusco .

Email: [email protected]

Location: Sutton

I'm a PhD student from Turin, Italy, and my project focuses on leiomyosarcoma, an aggressive soft tissue sarcoma subtype. My aim is to use RNA sequencing and proteomics to understand evolution of localised to metastatic disease with the goal of identifying new therapies for patients.

Avirup .

Phone: +44 20 3437 6680

Email: [email protected]

Location: Sutton

My research aims to identify candidate biomarkers for improving neoadjuvant therapy in high-risk soft tissue sarcomas. This convergence science project uses an explant-in-chip model developed by the Overby group, our collaborators at Imperial College London.

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Phone: +44 20 3437 7054

Email: [email protected]

Location: Sutton

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Phone: +44 20 3437 6020

Email: [email protected]

Location: Sutton

Matt Guelbert .

Email: [email protected]

Location: Sutton

I'm a first year PhD student. My research is interested in developing spatial proteomic sampling techniques to better understand intratumoral heterogeneity within soft tissue sarcomas.

Jingqi .

Email: [email protected]

Location: Sutton

I am a PhD student co-supervised by Dr Sam Au at Imperial College London. My project is on developing a microfluidic chip to study how extracellular matrix components affect tumour cell behaviour during metastatic colonisation in the lung, with a focus on using hydrogels to mimic the tumour microenvironment.

Dr Andrew Jenks .

Email: [email protected]

Location: Sutton

I began my postdoctoral career at the ICR in 2015. Initially working for the Signal Transduction Team (Barbara Tanos) and subsequently joining the Molecular and Systems Oncology Team in 2018. My current research is focused on understanding sub-clonal interactions and tumour heterogeneity driving EGFR inhibitor resistance in lung cancer.

Head shot of Pooja Kaur .

Email: [email protected]

Location: Sutton

I am a first-year PhD student split between Imperial College London (Ishihara lab) and the Institute of Cancer Research (Huang lab). My research will be focused on the bioengineering and development of immunomodulatory agents designed to target the extracellular matrix as a novel therapeutic strategy to treat sarcoma.

Kaan Low .

Phone: +44 20 3437 6918

Email: [email protected]

Location: Sutton

I am a Higher Scientific Officer currently investigating the drug resistance mechanisms in lung cancer patients with EGFR Exon20 insertion mutations using gene editing approaches such as CRISPR-Cas9.

Valeriya .

Phone: +44 20 7153 5082

Email: [email protected]

Location: Sutton

I’m Valeriya, a post doctoral researcher. I’m analysing matrisome and adhesome of leiomyosarcoma and using leiomyosarcoma-specific models of extracellular matrix to identify the drives of metastasis, in search for new drug targets.

Yuen Bun Tam .

Email: [email protected]

Location: Sutton

I am a PhD student working to understand the mechanisms of response and resistance in alveolar soft part sarcoma to the TKI cediranib, with the aims of identifying new biomarkers and therapeutic strategies to improve patient outcome.

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Phone: +44 20 3437 3609

Email: [email protected]

Location: Sutton

Professor Paul Huang's group have written 141 publications

Most recent new publication 3/2025

See all their publications

Sarcoma

Soft tissue sarcomas (STS) are a group of rare cancers that originate from supporting and connective tissue such as fat, muscle and blood vessels. This is a complex and highly diverse group of tumours that consists of more than 70 different types and can be found anywhere in the body. This complexity makes it challenging to effectively treat these cancers and outcomes for patients with advanced disease remain very poor.

Working closely with The Royal Marsden Sarcoma Unit (led by Dr Robin Jones), one of the largest specialist sarcoma treatment centres in Europe, the laboratory is currently focused on the following projects:

  • Proteomic profiling of STS in large retrospective series, clinical trials of targeted agents and rare sarcoma entities. We also lead on the proteomic analysis of sarcoma cases from the 100,000 Genomes Project as part of the Sarcoma Genomic England Clinical interpretation Partnership (GeCIP).
  • Resistance to targeted therapies including investigating clinical and preclinical mechanisms of drug resistance to kinase inhibitors such as pazopanib, regorafenib and cediranib, with a view to developing strategies to overcome resistance and achieve durable drug responses in patients.
  • Patient-derived model development for drug screening and mechanistic studies of therapy resistance in STS with a focus on developing models for common and rare sarcoma entities, lung metastasis and paired pre- and post-treatment tumours.
  • Prognostic and predictive biomarkers for patient stratification and early detection to deliver targeted therapy to patients likely to receive benefit while sparing those unlikely to respond to treatment from unnecessary side effects.

Lung cancer

Lung cancer is the largest cancer killer worldwide and contributes to 20% of all cancer deaths. Targeted therapies are routinely used for selected molecular subtypes of lung cancer such as those driven by mutant EGFR and ALK fusions.

However, tumours can find ways to overcome the effects of these drugs and rapidly acquire resistance leading to inevitable relapse in all patients within a year of treatment.

Our research in lung cancer focuses on understanding how tumours evolve to acquire drug resistance and develop strategies to tackle resistance to achieve lasting drug responses in patients.

Current project include:

  • Signalling mechanisms of resistance to EGFR inhibitors. Funded by Cancer Research UK, we are using molecular and chemical profiling strategies to identify mechanisms of intrinsic and acquired resistance to EGFR inhibitors including uncovering new signalling dependencies in mutant EGFR-driven lung cancers.
  • Intratumoural heterogeneity and subclonal interactions. We are exploiting proteomics and phosphoproteomics to investigate the signalling pathways driving subclonal interactions and tumour evolution in response to targeted therapy. Unpicking these signalling mechanisms may aid in the development of new salvage therapies for patients who develop acquired drug resistance.
  • Characterising exceptional response to targeted therapy. A small number of individuals, known as “exceptional responders”, show remarkable sensitivity and durable response to cancer treatment. We study and model such exceptional response in the laboratory to uncover mechanisms that confer long-term sensitivity to targeted agents.


Developing resistance to cancer drugs remains one of the biggest contributors to cancer deaths worldwide. Solving this problem will bring us one step closer to improving cure rates in patients.

The Molecular and Systems Oncology Group seeks to understand the underlying reasons as to why tumours go on to develop resistance and find new ways to effectively treat patients who relapse as a result of acquired drug resistance.

In doing so, we also aim to discover more accurate methods to stratify and predict which patients are likely to receive long-term benefit from therapy as a first step towards the development of companion diagnostics.

To address this problem, our laboratory concentrates on two interrelated areas of precision cancer medicine: (1) targeted therapy and drug resistance and (2) translational proteomics.

Focusing on sarcomas and lung cancers, two cancer types with particularly poor patient outcomes, we have a track record in the successful use of next generation proteomic profiling to deliver new strategies for combating drug resistance and identifying robust predictive and prognostic biomarkers.

Working in partnership with our clinical collaborators at the The Royal Marsden NHS Foundation Trust and other oncology centres worldwide, we lead on translational studies for several clinical trials of novel drug agents in sarcomas and lung cancer.

Our ultimate goal is to deliver an individualised approach to treatment and improve the long-term outcomes in sarcoma and lung cancer patients who currently have a poor prognosis.

Recent discoveries from this group

23/10/25

In a major step forward for cancer research, scientists have uncovered a surprising vulnerability in soft tissue sarcomas – a rare and aggressive group of cancers that affect the soft tissues of the body, such as muscle, fat and blood vessels.

The research team found that when these sarcomas acquire resistance to a commonly used class of drugs, they appear to become sensitive to another class of drugs to which they were previously resistant. This phenomenon, known as collateral sensitivity, could pave the way for smarter, more adaptive treatment strategies that anticipate and exploit the cancer’s next move.

These findings will help inform sarcoma researchers around the world about potential resistance mechanisms that they can build upon in their research projects. The authors hope that, in the future, it will be possible to considerably improve patient outcomes by developing long-term treatment strategies that can provide therapeutic avenues to people with drug-resistant sarcomas.

The findings of the study, which was led by researchers at The Institute of Cancer Research, London, have been published in the journal Communications Biology. The Institute of Cancer Research (ICR), which is both a research institute and a charity, helped fund the research, together with Sarcoma UK and the National Institute for Health Research Biomedical Research Centre at the ICR and The Royal Marsden NHS Foundation Trust.

Drug resistance remains a significant barrier to effective treatment

Soft tissue sarcomas are notoriously difficult to treat. Although multi-target tyrosine kinase inhibitors (mTKIs) – a class of drugs that block cancer-promoting proteins – have shown promise, their effectiveness is often short-lived. Most patients will find that their cancer develops resistance to mTKI treatment, and they are often left with limited therapy options afterwards.

In certain types of soft tissue sarcoma and other types of cancer, clinicians have had success in treating patients with different single-target kinase inhibitors (sTKIs) one after the other. The idea behind this is that as the disease becomes resistant to one sTKI, the treatment is switched to an alternative sTKI that can target the cause of the resistance and help delay or stop the cancer from progressing. This process can then be repeated with more drugs as new resistance mechanisms arise. Sequential treatments with up to four of these drugs have helped improve patient outcomes in some cancers.

Based on this, the team behind the current study decided to see whether sequential treatment with different mTKIs could overcome or delay the development of treatment resistance in soft tissue sarcomas. They selected four mTKIs – pazopanib, regorafenib, sitravatinib and anlotinib – that share some but not all kinase targets.

Using laboratory models of soft tissue sarcoma, the researchers found that when the cancer became resistant to one of these drugs, the cells developed cross-resistance to the other ones too. In other words, switching from one mTKI to another would be unlikely to improve patient outcomes.

Looking beyond the conventional options

However, the researchers realised that this resistance may come at a cost to the cancer itself. Unexpectedly, the resistant cells became newly vulnerable to drugs that target different pathways. For instance, cells that had developed resistance to sitravatinib developed sensitivity to infigratinib, which is a type of fibroblast growth factor receptor (FGFR) inhibitor.

To explore this idea further, the researchers conducted a series of experiments to map out the genetic and molecular changes that were occurring. They found that resistant cells often undergo significant ‘rewiring’ of their signalling networks, altering the way they respond to external stimuli. These changes can create new dependencies – pathways that the cancer now relies on for survival – which it may be possible to target with precision therapies.

The key to exploiting collateral sensitivity is to apply the concept of evolutionary steering. Rather than reacting to resistance after it occurs, scientists can aim to guide the cancer’s evolution in real time. By predicting which vulnerabilities will emerge and carefully sequencing appropriate treatments, they can, in theory, push cancer cells into states where they are more susceptible to other drugs. It is a strategy inspired by evolutionary game theory, where anticipating the next move of your opponent – in this case, cancer – can result in a win.

To facilitate this, the research team hopes to develop diagnostic tools that can identify collateral sensitivities in individual patients. This would allow clinicians to create personalised treatment plans that adapt over time, using the cancer’s evolutionary trajectory as a guide.

If, in the future, this treatment approach can be validated in human trials, it will have significant implications for clinical practice in soft tissue sarcomas and beyond.

“This is just the beginning”

Joint first author Dr Andrew Jenks, Senior Scientific Officer in the Division of Cancer Biology at the ICR, said:

“This is the first study to show that collateral sensitivity can be exploited in soft tissue sarcoma following the development of acquired resistance to mTKIs. The findings surprised us, as collateral sensitivity has not previously been observed in this setting.

“Understanding the underlying mechanisms will allow for the creation of new treatment strategies designed to overcome drug resistance and provide more durable, longer-term therapeutic strategies for people living with soft tissue sarcoma.” 

Joint first author Dr Mark Elms, Scientific Officer at the ICR at the time of the study, said:

“Our study reveals a promising therapeutic avenue in the fight against soft tissue sarcoma, a disease that has historically been very difficult to treat. By turning the cancer’s own resistance evolution against itself, we may be able to exploit collateral sensitivities and steer the cancer towards drug-sensitive states, thereby outsmarting the cancer by always staying one step ahead.”

The team’s follow-up work will involve testing whether the same or similar drug resistance mechanisms are seen in tumour samples from soft tissue sarcoma patients. If this is the case, the researchers will aim to transfer their experiments to animal models. These are the first steps in translating the study findings into clinical settings.

The researchers also plan to investigate whether similar patterns of resistance and sensitivity occur in other types of cancer.

Senior author Professor Paul Huang, Group Leader of the Molecular and Systems Oncology Group at the ICR, said:

“This study shows that although drug resistance closes some doors, it can open new ones. By understanding how treatment resistance evolves, we can begin to steer it in directions that make the cancer easier to treat.

“Excitingly, this is just the beginning. We believe the principle of collateral sensitivity may apply much more broadly. If we can learn to predict and manipulate resistance, we could fundamentally change the way we treat multiple types of cancer.”

Image credit: PIRO from Pixabay