Dramatic responses to gefitinib when used as front line therapy in two cases of metastatic lung adenocarcinoma with poor performance status

Advanced non-Small cell lung cancer patients at the extremes of age in the era of epidermal growth factor receptor tyrosine kinase inhibitors

OBJECTIVES

The clinical characteristics and survival of very young (≤40 years) and very old (>80years) patients with advanced non-small cell lung cancer (NSCLC) are distinct. However, the benefits of epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitors (TKIs) to patients at the extremes of age with NSCLC harboring EGFR mutation have not been well studied. We retrospectively studied the effect of extreme age on patients' clinical characteristics and prognosis.

MATERIALS AND METHODS

Of 1510 lung cancer patients diagnosed between November 2010 and March 2014, 555 patients who were tested for EGFR mutations were included. Patients were divided into the following groups according to age: young (≤40 years), lower medium (41-60 years), higher medium (61-80years), and very old (>80years).

RESULTS

Of the 555 patients, 20 (3.6%) patients were aged ≤40 years and 60 (10.8%) patients were aged >80years. Young NSCLC patients had a lower BMI (p=0.003), more brain (p=0.016) and bone metastases (p=0.002) Very young lung cancer patients still have poor prognosis even they were EGFR mutant. (EGFR mutant vs. wild type patients, OS: 12 vs. 7.3 months, p=0.215) Very old NSCLC patients had a lower BMI (p=0.003) and poor ECOG PS (p=0.028). Positive EGFR mutation test reverses poor prognosis of elderly NSCLC patients. (EGFR mutant vs. wild type patients, OS: 13.2 vs. 4.9 months, p=0.003) CONCLUSION: We observed EGFR mutations reverse the poor prognosis of old patients with NSCLC. However, young patients with lung cancer have a poor prognosis even if they harbor EGFR mutations.

Translatability scoring in drug development: eight case studies

Translational medicine describes the transfer of basic in vitro and in vivo data into human applications. In the light of low rates of market approvals for new medical entities, better strategies to predict the risk of drug development should be used to increase output and reduce costs. Recently, a scoring system to assess the translatability of early drug projects has been proposed. Here eight drugs from different therapeutic areas have been subjected to a retrospective test-run in this system fictively located at the phase II-III transition. The scores gained here underline the importance of biomarker quality which is pivotal to decrease the risk of the project in all cases. This is particularly evident for gefitinib. The EGFR mutation status is a breakthrough biomarker to predict therapeutic success which made this compound clinically acceptable, and this is plausibly reflected by a considerable increase of the translatability score. For psychiatric and Alzheimer's drugs, and for a CETP-inhibitor, the lack of suitable biomarkers and animal models is reflected by a low translatability score, well correlating with the excessive translational risk in these areas. These case studies document the apparent utility of the scoring system, at least under retrospective conditions, as the scores correlate with the outcomes at the level of market approval. Prospective validation is still missing, but these case studies are encouraging.