Targeting platelets for improved outcome in KRAS-driven lung adenocarcinoma.
Stephanie R HyslopMarliese AlexanderAlesha A ThaiAriena KersbergenAndrew J KuehMarco J HeroldJason CorbinPradnya GangatirkarAshley P NgBenjamin J SolomonWarren S AlexanderKate D SutherlandEmma C JosefssonPublished in: Oncogene (2020)
Elevated platelet count is associated with poor survival in certain solid cancers, including lung cancer. In addition, experimental transplantation of cancer cell lines has uncovered a role for platelets in blood-borne metastasis. These studies, however, do not account for heterogeneity between lung cancer subtypes. Subsequently, the role of platelets in the major subtypes of non-small cell lung cancer (adenocarcinoma (ADC) and squamous cell carcinoma (SqCC)) is not fully understood. We utilised an autochthonous KrasLSL-G12D/+;p53flox/flox mouse model of lung ADC together with genetic models of thrombocytopenia to interrogate the role of platelets in lung cancer growth and progression. While thrombocytopenia failed to impact primary tumour growth, in experimental metastatic models however, thrombocytopenic mice displayed significantly extended survival. Utilising a novel thrombocytopenic immunocompromised mouse, the importance of platelets in metastatic dissemination was confirmed with human KRAS-mutant ADC cell lines. Finally, retrospective analysis of a NSCLC patient cohort revealed thrombocytosis was predictive of poor survival in ADC patients with metastatic disease. Interestingly, this association was not apparent in SqCC patients. Overall, these data highlight the possibility of patient stratification using thrombocytosis as a biomarker, and indicates opportunities for potential novel treatment strategies that combine anti-platelet and lung cancer therapies.
Keyphrases
- squamous cell carcinoma
- diffusion weighted imaging
- small cell lung cancer
- wild type
- diffusion weighted
- mouse model
- case report
- endothelial cells
- free survival
- red blood cell
- end stage renal disease
- newly diagnosed
- single cell
- magnetic resonance imaging
- type diabetes
- locally advanced
- cross sectional
- prognostic factors
- electronic health record
- papillary thyroid
- squamous cell
- machine learning
- radiation therapy
- intensive care unit
- bone marrow
- metabolic syndrome
- epidermal growth factor receptor
- drug delivery
- cell therapy
- cancer therapy
- artificial intelligence
- rectal cancer
- respiratory failure
- tyrosine kinase