In line with the UN Sustainable Development Goal to Reduce Inequalities (SDG10), this collection aims to bring together articles enhancing our understanding of cancer health disparities across the different dimensions of inequality research. There are many expanding fields of health inequalities research but this collection will include articles examining disproportionate cancer burdens in populations such as: rural-urban, gender/sexual, racial/ethnic, religious minority and socioeconomic status groups, and of course any group where health inequality needs to be addressed. This wider collection builds upon our existing collections more specifically focused on Racial and ethnic disparities in cancer and Racial and ethnic disparities in cancer in the US We are building an ongoing knowledge base of content from across all oncology journals to increase the discoverability of articles in this important research area. Thus, we call for new contributions to this collection and invite you to read recent research below.

Building upon our collection on the contribution of climate change to the spread of infectious diseases, we are now also calling for articles examining the impact of climate change on non-communicable diseases. Climate change alters the risks of chronic diseases through affecting dietary, environmental and lifestyle factors. For instance, higher environmental exposures to air pollution, ultraviolet radiation, agricultural chemicals, and infectious agents are linked to long term diseases such as asthma and cancer. Disruptions caused by extreme weather events have healthcare implications for patients with long-term treatment needs.This collection brings together in one place articles outlining those chronic diseases that are likely to increase due to the effects of climate change.

This collection is dedicated to the impact of the COVID-19 pandemic in cancer healthcare. We are particularly interested in research examining the long-term impact for patients with cancer. To increase the discoverability of scientific literature related to COVID-19 cancer research, here we bring together key articles from across a series of oncology journals. We welcome future submissions to expand this collection further.

Updates, Reviews and Comments on Milestone Publications in the British Journal of Cancer

A curated collection of tutorials, reviews, perspectives, and original research on statistical methods in cancer research, including both solicited and submitted content. We welcome submissions that address statistical methods in any aspect of cancer research. Guest edited by Professor Paul Dickman, Dr Michael Sachs and Dr Sandra Eloranta.

BJC’s Digital Imaging series is open to receiving submissions assessing:

• State-of-the-art in digital imaging technology and computational output;
• Radiomics;
• Algorithms and approaches designed to predict therapeutic response and enable “personalized medicine”;
• Interrogation of the immune microenvironment and implications for immunotherapy selection;
• Challenges of implementation in clinical practice;
• Controversial applications of digital imaging

The Institute of Medicine defines disparities as “racial or ethnic differences in the quality of health care that are not due to access-related factors or clinical needs, preferences, and appropriateness of intervention.” This was certainly well demonstrated in the recent COVID pandemic where there were marked differences in morbidity and mortality in minority groups. These inequalities occur in all age groups and diseases compared to non-minorities. A disproportionate number of cancer deaths occur among racial and ethnic minorities in most Western countries. The causes have been extensively investigated and highlighted, and include a wide range of intersecting problems. Thus, the system itself, access to the system, communication, nutrition, education, housing, job stability, trust amongst others. Many extensive reviews have been published but if anything the problems are becoming worse with a decrease in standard of living, health care budgets and education. In this collection we publish a range of original research and reviews from the British Journal of Cancer, Leukemia and Blood Cancer Journal highlighting the problems and suggesting solutions to some of these issues. The editors welcome future submissions to expand this collection further.

This Collection highlights the newest top-viewed content from BJC. Updated each month, we hope you enjoy reading these articles. BJC aims to serve as a forum for the sharing and discussion of developments in oncology, by publishing significant advances in translational and clinical cancer research, covering all aspects of cancer prevention, diagnosis, and treatment.

In recent years we have seen continued growth in the field of precision medicine. Developments in technology have yielded the ability to detect many tumour-relevant entities in blood samples, including circulating tumour DNA, RNA, extracellular vesicles, tumour cells and tumour-educated immune cells. This Collection on Liquid biopsy features Special Issue content guest edited by Professor Angela Cox (University of Sheffield, UK,) and Professor Klaus Pantel (University Medical Center Hamburg-Eppendorf, Germany) and includes a curated set of research articles and commissioned content from leading researchers.

In this Regional Collection on Europe, our Editors have highlighted recently published studies from authors across Europe, including Germany, France, UK, Spain, Italy, Norway and Sweden, amongst others. Content from across BJC's broad scope is featured, including clinical trials, molecular biology, and epidemiology.

As an international journal, the British Journal of Cancer publishes articles on a wide range of cancer research from across the world. In this Regional Collection we highlight a selection of our top content from the USA, covering a breadth of cancer research from clinical trials through to molecular and cellular-based studies.

Key issues in optimum cancer management and prevention may be greatly aided by artificial intelligence (AI), particularly deep learning and reinforcement learning methods. This AI Applied to Cancer collection, curated by Faraz Janan (Imperial College London, UK) with the assistance of Louise Wilkinson (Oxford Breast Imaging Centre, UK), provides a collection of articles and commissioned content highlighting the state-of-the-art available AI models and techniques, limitations related to the AI applications in a clinical setup, and patient perspectives and the future of AI in cancer management.