Study design and rationale for IFCT- 2203 TAXIO: A study that aims to evaluate the effectiveness of a first-line chemotherapy regimen without etoposide, combined with durvalumab, for patients with extensive disease small cell lung cancer.

BACKGROUND: Studies have shown improvement in overall survival with anti-PD1/PD-L1 molecules in combination with cisplatin/carboplatin and etoposide as a first-line treatment for Small Cell Lung Cancer (SCLC). However, first-line efficacy remains limited and well below that observed in Non-Small Cell Lung Cancer (NSCLC). Etoposide may have a detrimental effect on lymphocyte activation, which could explain the limited benefit of immunotherapy in the first line and the lack of benefit in the second line for patients previously exposed to high levels of etoposide. METHODS: We initiated a multicenter, single-arm, open-label phase II study of a chemotherapy regimen with durvalumab, combined with carboplatin and paclitaxel for extensive disease SCLC. Eligible patients will receive durvalumab plus carboplatin and paclitaxel every 3 weeks for up to 4 cycles, followed by durvalumab every 4 weeks until progression or unacceptable toxicity. A total of 67 patients will be enrolled in this study, with a 12-month enrollment period and 36-month follow-up. The primary endpoint is Overall Survival (OS) rate at 12 months. Secondary endpoints are best response rate, OS, OS at 24- and 36 months, progression free survival (PFS), duration of response, quality of life and safety. RESULTS: This study aims to establish the efficacy of durvalumab combined with carboplatin and paclitaxel in patients with extensive disease Small Cell Lung Cancer. CLINICAL TRIAL REGISTRATION: EU CT: 2023-504670-38-00.

Sotorasib associated with tacrolimus and everolimus: A significant drug interaction in lung transplant patients.

The management of immunosuppressors in solid organ transplantation requires pharmacological therapeutic monitoring with regular adaptation of the dosage to the residual level. An obvious cause of these fluctuations is drug interactions, particularly for mTOR inhibitors and anti-calcineurin drugs, which are highly metabolized by cytochromes P450. A 72-year-old lung transplanted man, treated by tacrolimus and everolimus in the long term, had his residual immunosuppressor levels unbalanced by the introduction of sotorasib, which is used for metastatic pulmonary adenocarcinoma. This imbalance is explained by the fact that sotorasib is an inducer of CYP3A4 and an inhibitor of PGP, but the strength of the interaction has never been studied. This will have required a threefold increase in dosages and weekly monitoring before satisfactory residual levels were achieved.

Evaluation of RECIST in chemotherapy-treated lung cancer: the Pharmacogenoscan Study.

BACKGROUND: Response Evaluation Criteria in Solid Tumors (RECIST) are widely used to assess the effect of chemotherapy in patients with cancer. We hypothesised that the change in unidimensional tumour size handled as a continuous variable was more reliable than RECIST in predicting overall survival (OS). METHODS: The prospective Pharmacogenoscan study enrolled consecutive patients with non-small-cell lung cancer (NSCLC) at any stage seen between 2005 and 2010 at six hospitals in France, given chemotherapy. After exclusion of patients without RECIST or continuous-scale tumour size data and of those with early death, 464 patients were left for the survival analyses. Cox models were built to assess relationships between RECIST 1.1 categories or change in continuous-scale tumour size and OS. The best model was defined as the model minimising the Akaike Information Criterion (AIC). RESULTS: OS was 14.2 months (IQR, 7.3-28.9 months). According to RECIST 1.1, 146 (31%) patients had a partial or complete response, 245 (53%) stable disease, and 73 (16%) disease progression. RECIST 1.1 predicted better OS than continuous-scale tumour in early (<6 months) predicted survival analyses (p = 0.03) but the accuracy of the two response evaluation methods was similar in late (≥6 months) predicted survival analyses (p = 0.15). CONCLUSION: In this large observational study, change in continuous-scale tumour size did not perform better than RECIST 1.1 in predicting survival of patients given chemotherapy to treat NSCLC. TRIAL REGISTRATION: NCT00222404.

Immunohistochemistry evaluation of biomarker expression in non-small cell lung cancer (Pharmacogenoscan study).

OBJECTIVES: Platinum-based chemotherapy regimens are the standard treatment of non-small cell lung cancer (NSCLC). In this study, our objective was to identify tumor tissue protein biomarkers that might predict a benefit from these treatments. MATERIALS AND METHODS: The Pharmacogenoscan study prospectively included consecutive chemotherapy-naive NSCLC patients at any stage between 2005 and 2010 at six hospitals in the Rhône-Alpes-Auvergne region of France. Of the 537 patients in the full analysis set, 460 had a complete histological diagnosis. We used the tumor tissue samples for an immunohistochemical evaluation of eight biomarkers: ERCC1, BRCA1, p53, p27kip1, class III ß-tubulin (TUBB3), Bax, Fas, and FasL. We looked for associations between these biomarkers and the disease control rate (DCR) after 2/3 cycles of platinum-based chemotherapy, progression-free survival (PFS), and overall survival (OS). RESULTS: A tissue sample adequate for testing at least one biomarker was available for 289 patients. We found no significant association between biomarker expression levels and clinical or pathological variables; TUBB3 showed a trend toward higher expression in adenocarcinomas (P=0.005). For none of the biomarkers were significant associations found between expression level and DCR, PFS, or OS. TUBB3-negative and FasL-negative tumors showed associations of borderline significance with higher DCR. CONCLUSION: In a large cohort of patients with predominantly advanced or metastatic NSCLC, none of eight tested immunohistochemical biomarkers predicted the chemotherapy response or survival. Our data indicate limited usefulness of protein biomarkers in metastatic NSCLC and a need for further research based on molecular signatures of greater complexity.