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Overview

BMC Cancer is an open access, peer-reviewed journal that considers articles on all aspects of cancer research, including the pathophysiology, prevention, diagnosis and treatment of cancers. The journal welcomes submissions concerning molecular and cellular biology, genetics, epidemiology, and clinical trials.

Rigorous and efficient peer review
High visibility for your work with open access
Broad scope: from basic to translational, clinical and epidemiological research

Lead Editors

Chiara Cilibrasi PhD
Júlia Frankenberg-Garcia PhD
Pratibha Verma PhD, MSc, BSc

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Journal Impact Factor: 4.1 (2025)

5-year Journal Impact Factor: 4.1 (2025)

Submission to first decision (median): 6 days

Downloads: 16.7M (2025)

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Collection

Cancer survivorship: surveillance, prevention, and long-term care

Research has shown that cancer survivors require risk-adapted, comprehensive follow-up strategies that address both the ongoing risk of disease...

Collection

Cancer neuroscience

The relationship between the nervous system and cancer represents a crucial frontier in oncological research, requiring further exploration in...

Collection

Circadian rhythms in cancer: from mechanisms to clinical applications

Circadian rhythms are intrinsic biological cycles that regulate numerous physiological processes, including sleep-wake cycles, hormone release,...

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Latest articles

Efficacy and surgical outcomes of PD-1 inhibitors combined with neoadjuvant chemoradiotherapy in locally advanced rectal cancer: a real-world retrospective cohort study
Xiaohua Chen
Xin Bai
Jianming Tang
Research Open access 29 October 2026
Low baseline breast TLG and axillary MTV independently predict pathological complete response in HR-positive/HER2-negative breast cancer
Zeynep Akar
Hasan Bozkurt
Yakup İriağaç
Research Open access 29 October 2026
Radon and thyroid cancer risk in the Women’s Health Initiative
Mark R. Williamson
Eric A. Whitsel
Gary G. Schwartz
Research Open access 29 October 2026
Cancer outcomes in low and middle-income countries: the role of clinical, sociodemographics, and public funding as drivers
Bridget S Angucia
Nixon Niyonzima
Jackson Orem
Research Open access 29 October 2026
Part of 1 collection:

Cancer control in low- and middle-income countries – Part II
Multimodal deep learning framework integrating deep radiomics, clinical features, and EGFR Status to predict growth trends of pulmonary ground-glass nodules
Shaohui Huang
Kai Qiao
Xuemei Wang
Research Open access 28 October 2026

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Journal information

Electronic ISSN: 1471-2407
Abstracted and indexed in: ANVUR

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