SWStephen Geoffrey Ward

Stephen Geoffrey Ward

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

The organizations/institutes from the scholar's latest article

Previous Organizations / Institutes

The organizations / institutes from the scholar's other articles in the past ten years


Stephen Geoffrey Ward has a total of 320 co-authors. Here are the top co-authors by number of shared publications:


Latest Publications

  • Top Cited Papers

    Updated BJP guidelines for transparent and rigorous natural product research

    by Xin Wang, Tayyiba Azam, Stephen P. H. Alexander, Miriam M. Cortese‐Krott, Marie A. Engh, Zsuzsanna Helyes, Angelo A. Izzo, Kirill A. Martemyanov, Claudio Mauro, Reynold A. Panettieri, et al.

    Reflecting the global expansion of research, the British Journal of Pharmacology ( BJP ) has observed a substantial increase in the number of studies focusing on natural products. However, disparities in publication requirements between studies of synthetic small molecules and natural products have led to variable acceptance rates. Building on the progress observed following the 2020 and 2024 BJP editorial on natural products, this updated editorial aims to harmonise expectations across different research domains and promote fair and unbiased assessment of natural product studies. By standardising these criteria, the BJP reaffirms its commitment to maintaining scientific rigour whilst ensuring that the guidelines are clear and practical, thereby contributing to high‐quality research reporting that advances pharmacological science.


  • Response to: Justifying and reporting the use of severe stress in experiments that use animals

    by Charles Whalley, Marie Anne Engh, David J. Adams, Steve P. H. Alexander, Xiuping Chen, Miriam Cortese‐Krott, Zsuzsanna Helyes, Kirill Martemyanov, Claudio Mauro, Andreas Papapetropoulos, et al.

  • Open Access

    Novel drugs approved by the EMA, the FDA and the MHRA in 2025: A year in review

    by Andreas Papapetropoulos, Stavros Topouzis, Steve P. H. Alexander, Miriam M. Cortese‐Krott, Zsuzsanna Helyes, Kirill Martemyanov, Claudio Mauro, Nithyanandan Nagercoil, Reynold A. Panettieri, Hemal H. Patel, et al.

    In the 2025 novel drug mini‐review, one can take a full measure of the ingenuity that underlies current drug design and development, despite the year's smaller harvest (46 novel drugs) compared to 2024 (53) and 2023 (70). 54% of the novel drugs are first‐in‐class (FIC). The emphasis on proteins/antibodies is maintained (~25% novel drugs in 2025), an industry trend that does not seem to abate. Fewer than half of the novel medicines address major or common disorders. Among the FIC drugs, it is worth mentioning the Na v 1.8 channel inhibitor suzetrigine, the first non‐opioid approved to palliate acute pain; the first positive allosteric modulator of transient receptor potential melastatin 8 (TRPM8), acoltremon, that increases basal tear production in dry eye disease, a globally common disorder; lerodalcibep, a ‘third generation’ adnectin inhibitor of the protease Proprotein Convertase Subtilisin/Kexin type 9 (PCSK9) to treat elevated LDL‐c; and zoliflodacin and gepotidacin, both innovatively targeting bacterial topoisomerases to treat uncomplicated urinary tract infections. Most of the approved medicines target unmet medical need areas and/or orphan indications (the latter alone accounting for 41% of the 2025 novel drugs) by applying imaginative approaches. These approaches include: the combination of two FIC drugs, the RAF/MEK clamp avutometinib paired with the FAK/Pyk2 inhibitor defactinib, to block more efficiently the RAS–RAF–MEK–ERK/FAK oncogenic pathway in low‐grade serous ovarian cancer; fitusiran, the first RNAi therapy for haemophilia, targeting for the first time the production of the natural anticoagulant anti‐thrombin in the liver; and brensocatib, which attenuates the activation of downstream neutrophil proteases by inhibiting the protease DPP1, thereby preventing lung tissue destruction in bronchiectasis. The landscape of novel drugs approved in 2025 reveals that pharmaceutical innovation continues to advance through FIC mechanisms, sophisticated therapeutic approaches, and a strong focus on unmet medical need.


  • Open Access

    Supplementary FRET Methods from High PD-1/PD-L1 Checkpoint Interaction Infers Tumor Selection and Therapeutic Sensitivity to Anti-PD-1/PD-L1 Treatment

    by Lissete Sánchez-Magraner, James Miles, Claire L. Baker, Christopher J. Applebee, Dae-Jin Lee, Somaia Elsheikh, Shaimaa Lashin, Katriona Withers, Andrew G. Watts, Richard Parry, et al.

  • Open Access

    Supplementary Figures and Tables from High PD-1/PD-L1 Checkpoint Interaction Infers Tumor Selection and Therapeutic Sensitivity to Anti-PD-1/PD-L1 Treatment

    by Lissete Sánchez-Magraner, James Miles, Claire L. Baker, Christopher J. Applebee, Dae-Jin Lee, Somaia Elsheikh, Shaimaa Lashin, Katriona Withers, Andrew G. Watts, Richard Parry, et al.

    Supplementary Figures and Tables

  • Open Access

    Supplementary Figures and Tables from High PD-1/PD-L1 Checkpoint Interaction Infers Tumor Selection and Therapeutic Sensitivity to Anti-PD-1/PD-L1 Treatment

    by Lissete Sánchez-Magraner, James Miles, Claire L. Baker, Christopher J. Applebee, Dae-Jin Lee, Somaia Elsheikh, Shaimaa Lashin, Katriona Withers, Andrew G. Watts, Richard Parry, et al.

    Supplementary Figures and Tables

  • Open Access

    Supplementary FRET Methods from High PD-1/PD-L1 Checkpoint Interaction Infers Tumor Selection and Therapeutic Sensitivity to Anti-PD-1/PD-L1 Treatment

    by Lissete Sánchez-Magraner, James Miles, Claire L. Baker, Christopher J. Applebee, Dae-Jin Lee, Somaia Elsheikh, Shaimaa Lashin, Katriona Withers, Andrew G. Watts, Richard Parry, et al.

  • Open Access

    Data from High PD-1/PD-L1 Checkpoint Interaction Infers Tumor Selection and Therapeutic Sensitivity to Anti-PD-1/PD-L1 Treatment

    by Lissete Sánchez-Magraner, James Miles, Claire L. Baker, Christopher J. Applebee, Dae-Jin Lee, Somaia Elsheikh, Shaimaa Lashin, Katriona Withers, Andrew G. Watts, Richard Parry, et al.

    Many cancers are termed immunoevasive due to expression of immunomodulatory ligands. Programmed death ligand-1 (PD-L1) and cluster of differentiation 80/86 (CD80/86) interact with their receptors, programmed death receptor-1 (PD-1) and cytotoxic T-lymphocyte antigen-4 (CTLA-4), respectively, on tumor-infiltrating leukocytes eliciting immunosuppression. Immunotherapies aimed at blocking these interactions are revolutionizing cancer treatments, albeit in an inadequately described patient subset. To address the issue of patient stratification for immune checkpoint intervention, we quantitatively imaged PD-1/PD-L1 interactions in tumor samples from patients, employing an assay that readily detects these intercellular protein–protein interactions in the less than or equal to 10 nm range. These analyses across multiple patient cohorts demonstrated the intercancer, interpatient, and intratumoral heterogeneity of interacting immune checkpoints. The PD-1/PD-L1 interaction was not correlated with clinical PD-L1 expression scores in malignant melanoma. Crucially, among anti-PD-1–treated patients with metastatic non–small cell lung cancer, those with lower PD-1/PD-L1 interaction had significantly worsened survival. It is surmised that within tumors selecting for an elevated level of PD-1/PD-L1 interaction, there is a greater dependence on this pathway for immune evasion and hence, they exhibit more impressive patient response to intervention.Significance:Quantitation of immune checkpoint interaction by direct imaging demonstrates that immunotherapy-treated patients with metastatic NSCLC with a low extent of PD-1/PD-L1 interaction show significantly worse outcome.

  • Open Access

    Data from High PD-1/PD-L1 Checkpoint Interaction Infers Tumor Selection and Therapeutic Sensitivity to Anti-PD-1/PD-L1 Treatment

    by Lissete Sánchez-Magraner, James Miles, Claire L. Baker, Christopher J. Applebee, Dae-Jin Lee, Somaia Elsheikh, Shaimaa Lashin, Katriona Withers, Andrew G. Watts, Richard Parry, et al.

    Many cancers are termed immunoevasive due to expression of immunomodulatory ligands. Programmed death ligand-1 (PD-L1) and cluster of differentiation 80/86 (CD80/86) interact with their receptors, programmed death receptor-1 (PD-1) and cytotoxic T-lymphocyte antigen-4 (CTLA-4), respectively, on tumor-infiltrating leukocytes eliciting immunosuppression. Immunotherapies aimed at blocking these interactions are revolutionizing cancer treatments, albeit in an inadequately described patient subset. To address the issue of patient stratification for immune checkpoint intervention, we quantitatively imaged PD-1/PD-L1 interactions in tumor samples from patients, employing an assay that readily detects these intercellular protein–protein interactions in the less than or equal to 10 nm range. These analyses across multiple patient cohorts demonstrated the intercancer, interpatient, and intratumoral heterogeneity of interacting immune checkpoints. The PD-1/PD-L1 interaction was not correlated with clinical PD-L1 expression scores in malignant melanoma. Crucially, among anti-PD-1–treated patients with metastatic non–small cell lung cancer, those with lower PD-1/PD-L1 interaction had significantly worsened survival. It is surmised that within tumors selecting for an elevated level of PD-1/PD-L1 interaction, there is a greater dependence on this pathway for immune evasion and hence, they exhibit more impressive patient response to intervention.Significance:Quantitation of immune checkpoint interaction by direct imaging demonstrates that immunotherapy-treated patients with metastatic NSCLC with a low extent of PD-1/PD-L1 interaction show significantly worse outcome.

  • Open Access

    Determination of Interactive States of Immune Checkpoint Regulators in Lung Metastases after Radiofrequency Ablation

    by James Miles, Isabelle Soubeyran, Florence Marliot, Nicolas Pangon, Antoine Italiano, Carine Bellera, Stephen G. Ward, Franck Pagès, Jean Palussière, Banafshé Larijani

    Background: Cases of the spontaneous regression of multiple pulmonary metastases, after radiofrequency ablation (RFA), of a single lung metastasis, have been documented to be mediated by the immune system. The interaction of immune checkpoints, e.g., PD-1/PD-L1 and CTLA-4/CD80, may explain this phenomenon. The purpose of this study is to identify and quantify immune mechanisms triggered by RFA of pulmonary metastases originating from colorectal cancer. Methods: We used two-site time-resolved Förster resonance energy transfer as determined by frequency-domain FLIM (iFRET) for the quantification of receptor–ligand interactions. iFRET provides a method by which immune checkpoint interaction states can be quantified in a spatiotemporal manner. The same patient sections were used for assessment of ligand–receptor interaction and intratumoral T-cell labeling. Conclusion: The checkpoint interaction states quantified by iFRET did not correlate with ligand expression. We show that immune checkpoint ligand expression as a predictive biomarker may be unsuitable as it does not confirm checkpoint interactions. In pre-RFA-treated metastases, there was a significant and negative correlation between PD-1/PD-L1 interaction state and intratumoral CD3+ and CD8+ density. The negative correlation of CD8+ and interactive states of PD-1/PD-L1 can be used to assess the state of immune suppression in RFA-treated patients.