Molecular and Cellular Research on Lung Cancer: A Development toward Precision Medicine

A special issue of Biomedicines (ISSN 2227-9059). This special issue belongs to the section "Cancer Biology and Oncology".

Deadline for manuscript submissions: closed (30 November 2023) | Viewed by 2290

Special Issue Editors


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Guest Editor
Thoracic Surgery Department, University Hospital Nancy, Nancy, France
Interests: lung cancer; precision medicine; thoracic surgery; mini-invasive surgery; patient-derived organoids; peri operative treatment

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Guest Editor
1. Chest Disease Department, University Hospital, 3 Boulevard Fleming, 25030 Besançon, France
2. Methodology and Quality of Life in Oncology Unit, University Hospital, Besançon, France
3. EFS BFC, INSERM, Université de Bourgogne Franche-Comté, UMR1098, RIGHT, Besançon, France
Interests: lung cancer; cochrane methodology of systematic reviews and meta-analyses in lung cancer; patient reported outcomes; peri operative treatment; lung cancer biomarker (screening, detection, diagnosis, prognosis, prediction, stratification, therapy response monitoring)

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Guest Editor
1. Division of Thoracic Surgery, IRCCS Humanitas Research Hospital, Via Manzoni 56, Rozzano, 20089 Milan, Italy
2. Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, 20090 Milan, Italy
Interests: lung cancer; NSCLC; robotic surgery; screening program; precision medicine; SARS-CoV-2; thoracic surgery
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Special Issue Information

Dear Colleagues,

The past decade has been transformative for lung cancer patients, physicians and scientists.

The discovery of NSCLC mutations that confers specific sensitivity to several drugs in lung cancer adenocarcinoma and the introduction of a turning point in lung cancer immunotherapy (Anti–PD-(L)1) allowed to improve the prognosis of lung cancer and to open a new frontier of a medicine adapted to each patient: precision medicine.

The fruits of precision medicine are visible every day now in lung cancer clinical practice: patients receive molecular testing to determine whether their tumor harbors an actionable mutation and drugs targeting the immune system are showing their activity in care.

However, the extraordinary promise of precision medicine is tempered by the fact that the newest treatments are effective only in a small fraction of patients and we still known little about the tumor immune microenvironment.

This special issue will focus on cellular aspects in the development of in vitro testing devices, the discovery of new biomarkers to overcome resistance to existing treatments as well as the arrival of artificial intelligence and its implications in liquid biopsies or the stratification of organized lung cancer screening.

This special issue will be organized in 3 parts:

  • Lung cancer screening and perspectives: association with AI and cancer predictive biomarkers;
  • Response to treatment specific biomarkers;
  • Screening strategies and innovative treatment for lung cancer: organoid-based predictive platform and novel immunotherapy pathways.

Dr. Joseph Seitlinger
Dr. Guillaume Eberst
Dr. Giuseppe Mangiameli
Guest Editors

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Keywords

  • lung cancer
  • precision medicine
  • immunotherapy
  • targeted therapy
  • organoids
  • AI
  • oncolytic viruses

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Published Papers (1 paper)

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Research

13 pages, 1467 KiB  
Article
Patient-Derived Tumoroid for the Prediction of Radiotherapy and Chemotherapy Responses in Non-Small-Cell Lung Cancer
by Anasse Nounsi, Joseph Seitlinger, Charlotte Ponté, Julien Demiselle, Ysia Idoux-Gillet, Erwan Pencreach, Michèle Beau-Faller, Véronique Lindner, Jean-Marc Balloul, Eric Quemeneur, Hélène Burckel, Georges Noël, Anne Olland, Florence Fioretti, Pierre-Emmanuel Falcoz, Nadia Benkirane-Jessel and Guoqiang Hua
Biomedicines 2023, 11(7), 1824; https://doi.org/10.3390/biomedicines11071824 - 26 Jun 2023
Cited by 2 | Viewed by 1901
Abstract
Radiation therapy and platinum-based chemotherapy are common treatments for lung cancer patients. Several factors are considered for the low overall survival rate of lung cancer, such as the patient’s physical state and the complex heterogeneity of the tumor, which leads to resistance to [...] Read more.
Radiation therapy and platinum-based chemotherapy are common treatments for lung cancer patients. Several factors are considered for the low overall survival rate of lung cancer, such as the patient’s physical state and the complex heterogeneity of the tumor, which leads to resistance to the treatment. Consequently, precision medicines are needed for the patients to improve their survival and their quality of life. Until now, no patient-derived tumoroid model has been reported to predict the efficiency of radiation therapy in non-small-cell lung cancer. Using our patient-derived tumoroid model, we report that this model could be used to evaluate the efficiency of radiation therapy and cisplatin-based chemotherapy in non-small-cell lung cancer. In addition, these results can be correlated to clinical outcomes of patients, indicating that this patient-derived tumoroid model can predict the response to radiotherapy and chemotherapy in non-small-cell lung cancer. Full article
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