Skip to main content

Cutting edge tools for lung cancer research and drug discovery

Lung cancer is the leading cause of cancer-related deaths worldwide, accounting for the highest mortality rates among both men and women. It is a highly heterogeneous disease with numerous subtypes that are broadly classified into:

  • Small-cell lung cancer (SCLC), accounting for 15% of lung cancers
  • Non-small cell lung cancer (NSCLC), accounting for 85% of lung cancers
  • NSCLC is, in turn, consists of two main subtypes:
    • Lung adenocarcinoma (LUAD)
    • Lung squamous cell carcinoma (LUSC).

Despite treatment advances including targeted therapies and immunotherapies, the 5-year survival of patients with advanced disease is still below 20%1. Lung cancer models that more accurately reflect tumour heterogeneity, disease progression and mimic patient responses, are needed to aid effective cancer research and therapy development.

At CancerTools.org, we have curated an extensive collection of lung cancer research tools, deposited by scientists from academic universities and leading cancer centres over 40 years. This includes a diverse array of:

  • Well characterised lung cancer cell lines for improved disease modelling and preclinical drug screening
  • Complex in vitro patient-derived organoid (PDO) and in vivo patient derived xenograft (PDX) to enhance preclinical drug discovery
  • Widely used antibodies to study tumour immunology and signalling.
Image: Image of lung cancer cells under a microscope. Image provided courtesy of Anne Weston, EM STP, The Francis Crick Institute.

Explore our lung cancer research tools collection

Disease modelling

Drug discovery

Tumour immunology and signalling

For our commercial customers

Our dedicated licensing team can assist you in any of your commercial enquiries and help to guide you in identifying the right license for your needs. We support partners in the Pharma, Biotechnology and CRO/CDMO industries. Please contact us below:

References

  1. Hynds R.E. et al. Progress towards non-small-cell lung cancer models that represent clinical evolutionary trajectories, Open Biol. 11, 200247 (2021). PMID: 33435818
  2. Golikov M.V. et al. Cultivation of Cells in a Physiological Plasmax Medium Increases Mitochondrial Respiratory Capacity and Reduces Replication Levels of RNA Viruses. Antioxidants (Basel). 30, 97 (2021). PMID: 35052601

Tool enquiry

Please ensure you use your organisation email address rather than personal where possible, as this helps us locate your organisation in our system faster.

Please note we may take up to three days to respond to your enquiry.

CancerTools.org uses the contact information provided to respond to you about our research tools and service. For more information please review our privacy policy.