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2024 IASLC WCLC

Lung Cancer

‘Encouraging’ Pathologic Responses Achieved With Novel Combination Regimen in Early-Stage NSCLC

In the multiarm phase II NeoCOAST-2 trial, neoadjuvant treatment with datopotamab deruxtecan (Dato-DXd) plus the monoclonal antibody durvalumab and single-agent platinum chemotherapy led to promising ...

Lung Cancer

Distinguished Service Awards Presented at the IASLC World Conference on Lung Cancer

Distinguished Service Awards were presented to Kwun Fong, MBBS, PhD, FRACP; Claudia Henschke, MD, PhD; Erik Thunnissen, MD, PhD; and Julie Brahmer, MD, MSc, FASCO, during the 2024 International Associ...

Lung Cancer

Amivantamab-vmjw Plus Lazertinib Improves Long-Term Outcomes in First-Line Setting of EGFR-Mutant Advanced NSCLC

The combination of the EGFR-MET bispecific antibody amivantamab-vmjw and the EGFR tyrosine kinase inhibitor lazertinib continues to demonstrate superior efficacy compared with the kinase inhibitor osi...

Lung Cancer

AEGEAN Update Confirms Benefit of Perioperative Durvalumab in Resectable NSCLC

The second planned interim analysis of the global phase III AEGEAN trial—reported by John V. Heymach, MD, PhD, of The University of Texas MD Anderson Cancer Center, Houston, and colleagues at the Inte...

Lung Cancer
Issues in Oncology

NeoCOAST-2 Trial: Durvalumab Plus Novel Agents May Increase Pathologic Responses in Resectable NSCLC

Researchers have demonstrated that the combination of durvalumab with the TROP2-directed antibody-drug conjugate datopotamab deruxtecan may yield high pathologic complete response rates in patients wi...

Lung Cancer
Issues in Oncology

Using TROP2 Expression to Predict Outcomes in Advanced NSCLC

Researchers have uncovered that TROP2 expression as measured by quantitative continuous scoring may be a predictor of clinical outcomes in patients with advanced or metastatic non–small cell lung canc...

Lung Cancer
Issues in Oncology

Study Compares Lung Cancer Screening Triage Protocols

The PanCan nodule management protocol may be superior at triaging lung cancer screening participants compared with the LungRADSv1.1 approach, according to new findings presented by McWilliams et al at...

Lung Cancer
Issues in Oncology

Perioperative Nivolumab May Improve Event-Free Survival Compared With Neoadjuvant Nivolumab Plus Chemotherapy Alone in Patients With Resectable NSCLC

Adjuvant nivolumab following neoadjuvant nivolumab plus chemotherapy and surgery may be effective at reducing the risk of disease recurrence or mortality in patients with resectable non–small cell lun...

Lung Cancer
Issues in Oncology

IASLC Global Survey on Biomarker Testing Reveals Progress and Persistent Barriers in Lung Cancer Biomarker Testing

Despite significant improvements in the perception of biomarker testing compared with a 2018 survey, substantial barriers to implementation may persist globally, according to new findings presented by...

Lung Cancer
Issues in Oncology
Immunotherapy

Pathway to Developing Predictive Biomarkers for Immune Checkpoint Inhibitors in NSCLC

Researchers may have uncovered a metabolic pathway that could lead to the development of predictive biomarkers for immune checkpoint inhibitors, according to new findings presented by Kulasinghe et al...

Lung Cancer

HARMONi-2: Ivonescimab Outperforms Pembrolizumab as First-Line Treatment in NSCLC

In a phase III study conducted in China, the bispecific antibody ivonescimab demonstrated a statistically significant and clinically meaningful improvement in progression-free survival compared with ...

Lung Cancer

Ifinatamab Deruxtecan Shows Activity in Extensive-Stage Small Cell Lung Cancer

The antibody-drug conjugate ifinatamab deruxtecan (I-DXd) showed clinically meaningful responses in pretreated patients with extensive-stage small cell lung cancer (SCLC) in an interim analysis of th...

Lung Cancer

Artificial Intelligence Method Transforms Gene Mutation Prediction in Lung Cancer

Research suggests an artificial intelligence (AI) tool called DeepGEM may provide an advancement in genomic testing that offers an accurate, cost-effective, and timely method for gene mutation predict...

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