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Lung cancer
Deep Learning Models Expedite Biomarker Discovery, Detection in Lung Cancer

September 7th 2024

Investigators showcased feasibility of combining pathology findings with deep learning artificial intelligence to speed up biomarker detection and discovery for patients with lung cancer.

The mean number of palliative care visits was nearly halved for stepped-palliative care vs early palliative care in patients with advanced lung cancer.
Stepped Care Model for Lung Cancer May Maintain QOL With Fewer Visits

August 6th 2024

Neoadjuvant Capecitabine Plus Temozolomide in Atypical Lung NETs
Neoadjuvant Capecitabine Plus Temozolomide in Atypical Lung NETs

July 10th 2024

Advancing Thoracic Surgery With Robotics and Video-Assisted Strategies
Advancing Thoracic Surgery With Robotics and Video-Assisted Strategies

June 13th 2024

Phase 3 data also show an improvement in deterioration-free survival with TTFields and best supportive care in those with NSCLC and brain metastases.
TTFields Combo Prolongs Time to Progression in NSCLC Brain Metastasis Group

June 6th 2024

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State of the Art in Lung Cancer: A Glass One-Quarter Full?

February 1st 2007

Surgery remains the initial treatment for patients with early-stage non-small-cell lung cancer (NSCLC). Additional therapy is necessary because of high rates of distant and local disease recurrence after surgical resection. Early trials of adjuvant chemotherapy and postoperative radiation were often plagued by small patient sample size, inadequate surgical staging, and ineffective or antiquated treatment. A 1995 meta-analysis found a nonsignificant reduction in risk of death for postoperative cisplatin-based chemotherapy. Since then, a new generation of randomized phase III trials have been conducted, some of which have reported a benefit for chemotherapy in the adjuvant setting. The role of postoperative radiation therapy remains to be defined. It may not be beneficial in early-stage NSCLC but still may have utility in stage IIIA disease. Improvement in survival outcomes from adjuvant treatment are likely to result from the evaluation of novel agents, identification of tumor markers predictive of disease relapse, and definition of factors that determine sensitivity to therapeutic agents. Some of the molecularly targeted agents such as the angiogenesis and epidermal growth factor receptor inhibitors are being incorporated into clinical trials. Preliminary results with gene-expression profiles and lung cancer proteomics have been promising. These techniques may be used to create prediction models to identify patients at risk for disease relapse. Molecular markers such as ERCC1 may determine response to treatment. All of these innovations will hopefully increase cure rates for lung cancer patients by maximizing the efficacy of adjuvant therapy.


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Non-Small-Cell Lung Cancer Adjuvant Therapy: Translating Data Into Reality

February 1st 2007

Surgery remains the initial treatment for patients with early-stage non-small-cell lung cancer (NSCLC). Additional therapy is necessary because of high rates of distant and local disease recurrence after surgical resection. Early trials of adjuvant chemotherapy and postoperative radiation were often plagued by small patient sample size, inadequate surgical staging, and ineffective or antiquated treatment. A 1995 meta-analysis found a nonsignificant reduction in risk of death for postoperative cisplatin-based chemotherapy. Since then, a new generation of randomized phase III trials have been conducted, some of which have reported a benefit for chemotherapy in the adjuvant setting. The role of postoperative radiation therapy remains to be defined. It may not be beneficial in early-stage NSCLC but still may have utility in stage IIIA disease. Improvement in survival outcomes from adjuvant treatment are likely to result from the evaluation of novel agents, identification of tumor markers predictive of disease relapse, and definition of factors that determine sensitivity to therapeutic agents. Some of the molecularly targeted agents such as the angiogenesis and epidermal growth factor receptor inhibitors are being incorporated into clinical trials. Preliminary results with gene-expression profiles and lung cancer proteomics have been promising. These techniques may be used to create prediction models to identify patients at risk for disease relapse. Molecular markers such as ERCC1 may determine response to treatment. All of these innovations will hopefully increase cure rates for lung cancer patients by maximizing the efficacy of adjuvant therapy.


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Adjuvant Treatment of Non-Small-Cell Lung Cancer: How Do We Improve the Cure Rates Further?

February 1st 2007

Surgery remains the initial treatment for patients with early-stage non-small-cell lung cancer (NSCLC). Additional therapy is necessary because of high rates of distant and local disease recurrence after surgical resection. Early trials of adjuvant chemotherapy and postoperative radiation were often plagued by small patient sample size, inadequate surgical staging, and ineffective or antiquated treatment. A 1995 meta-analysis found a nonsignificant reduction in risk of death for postoperative cisplatin-based chemotherapy. Since then, a new generation of randomized phase III trials have been conducted, some of which have reported a benefit for chemotherapy in the adjuvant setting. The role of postoperative radiation therapy remains to be defined. It may not be beneficial in early-stage NSCLC but still may have utility in stage IIIA disease. Improvement in survival outcomes from adjuvant treatment are likely to result from the evaluation of novel agents, identification of tumor markers predictive of disease relapse, and definition of factors that determine sensitivity to therapeutic agents. Some of the molecularly targeted agents such as the angiogenesis and epidermal growth factor receptor inhibitors are being incorporated into clinical trials. Preliminary results with gene-expression profiles and lung cancer proteomics have been promising. These techniques may be used to create prediction models to identify patients at risk for disease relapse. Molecular markers such as ERCC1 may determine response to treatment. All of these innovations will hopefully increase cure rates for lung cancer patients by maximizing the efficacy of adjuvant therapy.