Oncology

Publish your Oncology research fast, openly and without restrictions

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Rapid, open publication is fundamental in complex areas of research like Oncology, where immediate access to robust science is crucial for improving the prevention, detection and treatment of Cancer.

F1000Research's innovative publication model enables the rapid and transparent dissemination of research by providing fast, open publication alongside immediate access to any underlying data, software code and resources. Our Open Access platform allows researchers to publish a wide range of research outputs - from traditional Research Articles to more unique formats, such as Study Protocols, Data Notes, and Method Articles. Additionally, all articles undergo transparent, invited post-publication peer review before being indexed in PubMed Central and Scopus, with expert reviews freely available for anyone to read. 

We welcome articles covering all areas of Oncology including, but not limited to:

  • Cancer Diagnosis and Prognosis
  • Cancer Biology
  • Clinical Oncology
  • Cancer Epidemiology & Prevention
  • Cancer Surgery & Therapy
  • Survivorship

Our unique publication model, combined with our progressive Open Data Policy, makes F1000Research the perfect home for transparent, reproducible Oncology research.

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Instructions for authors

Ready to submit your article? Read our author guidelines now, to ensure you’ve prepared your article correctly for submission to F1000Research.
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Featured articles

DNA methylation changes in biomarker loci occur early in cancer progression

Tumor-specific DNA methylation can be used for cancer diagnostics and monitoring. We have recently reported a set of DNA methylation biomarkers that can distinguish plasma samples from lung cancer patients versus healthy controls with high sensitivity and specificity. Furthermore, the DNA methylation signal from the biomarker loci detected in plasma samples correlated with tumor size and decreased after surgical resection of lung tumors.
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XENOBREAST Trial: A prospective study of xenografts establishment from surgical specimens of patients with triple negative or luminal b breast cancer

Patient-derived xenografts (PDX) can be used to explore tumour pathophysiology and could be useful to better understand therapeutic response in breast cancer. PDX from mammary tumours are usually made from metastatic tumours. Thus, PDX from primary mammary tumours or after neoadjuvant treatment are still rare. This study aims to assess the feasibility to establish xenografts from tumour samples of patients with triple negative or luminal B breast cancer in neoadjuvant, adjuvant or metastatic setting.
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Case report: A rare case of middle-ear Rhabdomyosarcoma in a 4-year-old boy

We present a rare case of a four-year-old boy with a botyroid embryonal rhabdomyosarcoma of the right middle ear. Rhabdomyosarcoma is a soft tissue malignancy which is thought to originate from embryonic mesenchymal cells of striated skeletal muscle. It is a disease primarily of children and is exceptionally rare in parameningeal regions. The diagnosis is often delayed and easily misdiagnosed as aural polyp.
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Why publish with F1000Research

  • Maximize the speed and reach of your work with rapid, open publication as standard
  • Once published, your article will undergo transparent open peer-review that puts you at the centre of the publishing process, whilst allowing your research to reach policymakers, industry, and practitioners
  • Tell the full story of your research by publishing a range of articles including Data Notes, Software Tool Articles and Case Reports, alongside Living Systematic Reviews and Research Articles. We welcome both confirmatory and negative results, as well as null studies.
  • Boost the discoverability of your research with inclusion in Scopus, PubMed, Google Scholar and more
  • Support a more transparent, accessible future for academic research

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We've prepared guidelines for every article type we publish, from Research Articles to Data Notes. Check the relevant instructions for authors to ensure that you've prepared your paper correctly for submission to F1000Research
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