Smart Sensors and Microtechnologies in the Precision Medicine Approach against Lung Cancer.

lung cancer oncogenomics personalized medicine semiconductors smart sensors

Journal

Pharmaceuticals (Basel, Switzerland)
ISSN: 1424-8247
Titre abrégé: Pharmaceuticals (Basel)
Pays: Switzerland
ID NLM: 101238453

Informations de publication

Date de publication:
22 Jul 2023
Historique:
received: 08 06 2023
revised: 23 06 2023
accepted: 07 07 2023
medline: 29 7 2023
pubmed: 29 7 2023
entrez: 29 7 2023
Statut: epublish

Résumé

The therapeutic interventions against lung cancer are currently based on a fully personalized approach to the disease with considerable improvement of patients' outcome. Alongside continuous scientific progresses and research investments, massive technologic efforts, innovative challenges, and consolidated achievements together with research investments are at the bases of the engineering and manufacturing revolution that allows a significant gain in clinical setting. The scope of this review is thus to focus, rather than on the biologic traits, on the analysis of the precision sensors and novel generation materials, as semiconductors, which are below the clinical development of personalized diagnosis and treatment. In this perspective, a careful revision and analysis of the state of the art of the literature and experimental knowledge is presented. Novel materials are being used in the development of personalized diagnosis and treatment for lung cancer. Among them, semiconductors are used to analyze volatile cancer compounds and allow early disease diagnosis. Moreover, they can be used to generate MEMS which have found an application in advanced imaging techniques as well as in drug delivery devices. Overall, these issues represent critical issues only partially known and generally underestimated by the clinical community. These novel micro-technology-based biosensing devices, based on the use of molecules at atomic concentrations, are crucial for clinical innovation since they have allowed the recent significant advances in cancer biology deciphering as well as in disease detection and therapy. There is an urgent need to create a stronger dialogue between technologists, basic researchers, and clinicians to address all scientific and manufacturing efforts towards a real improvement in patients' outcome. Here, great attention is focused on their application against lung cancer, from their exploitations in translational research to their application in diagnosis and treatment development, to ensure early diagnosis and better clinical outcomes.

Sections du résumé

BACKGROUND AND RATIONALE OBJECTIVE
The therapeutic interventions against lung cancer are currently based on a fully personalized approach to the disease with considerable improvement of patients' outcome. Alongside continuous scientific progresses and research investments, massive technologic efforts, innovative challenges, and consolidated achievements together with research investments are at the bases of the engineering and manufacturing revolution that allows a significant gain in clinical setting.
AIM AND METHODS OBJECTIVE
The scope of this review is thus to focus, rather than on the biologic traits, on the analysis of the precision sensors and novel generation materials, as semiconductors, which are below the clinical development of personalized diagnosis and treatment. In this perspective, a careful revision and analysis of the state of the art of the literature and experimental knowledge is presented.
RESULTS RESULTS
Novel materials are being used in the development of personalized diagnosis and treatment for lung cancer. Among them, semiconductors are used to analyze volatile cancer compounds and allow early disease diagnosis. Moreover, they can be used to generate MEMS which have found an application in advanced imaging techniques as well as in drug delivery devices.
CONCLUSIONS CONCLUSIONS
Overall, these issues represent critical issues only partially known and generally underestimated by the clinical community. These novel micro-technology-based biosensing devices, based on the use of molecules at atomic concentrations, are crucial for clinical innovation since they have allowed the recent significant advances in cancer biology deciphering as well as in disease detection and therapy. There is an urgent need to create a stronger dialogue between technologists, basic researchers, and clinicians to address all scientific and manufacturing efforts towards a real improvement in patients' outcome. Here, great attention is focused on their application against lung cancer, from their exploitations in translational research to their application in diagnosis and treatment development, to ensure early diagnosis and better clinical outcomes.

Identifiants

pubmed: 37513953
pii: ph16071042
doi: 10.3390/ph16071042
pmc: PMC10385174
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

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Auteurs

Giulia Maria Stella (GM)

Department of Internal Medicine and Medical Therapeutics, University of Pavia Medical School, 27100 Pavia, Italy.
Cardiothoracic and Vascular Department, Unit of Respiratory Diseases, IRCCS Policlinico San Matteo, 27100 Pavia, Italy.

Sara Lettieri (S)

Department of Internal Medicine and Medical Therapeutics, University of Pavia Medical School, 27100 Pavia, Italy.
Cardiothoracic and Vascular Department, Unit of Respiratory Diseases, IRCCS Policlinico San Matteo, 27100 Pavia, Italy.

Davide Piloni (D)

Department of Internal Medicine and Medical Therapeutics, University of Pavia Medical School, 27100 Pavia, Italy.
Cardiothoracic and Vascular Department, Unit of Respiratory Diseases, IRCCS Policlinico San Matteo, 27100 Pavia, Italy.

Ilaria Ferrarotti (I)

Department of Internal Medicine and Medical Therapeutics, University of Pavia Medical School, 27100 Pavia, Italy.
Cardiothoracic and Vascular Department, Unit of Respiratory Diseases, IRCCS Policlinico San Matteo, 27100 Pavia, Italy.

Fabio Perrotta (F)

Department of Translational Medical Sciences, University of Campania "L. Vanvitelli", 80131 Napoli, Italy.
U.O.C. Clinica Pneumologica "L. Vanvitelli", A.O. dei Colli, Ospedale Monaldi, 80131 Napoli, Italy.

Angelo Guido Corsico (AG)

Department of Internal Medicine and Medical Therapeutics, University of Pavia Medical School, 27100 Pavia, Italy.
Cardiothoracic and Vascular Department, Unit of Respiratory Diseases, IRCCS Policlinico San Matteo, 27100 Pavia, Italy.

Chandra Bortolotto (C)

Department of Clinical-Surgical, Diagnostic and Paediatric Sciences, University of Pavia Medical School, 27100 Pavia, Italy.
Department of Diagnostic Services and Imaging, Unit of Radiology, Fondazione IRCCS Policlinico San Matteo, 27100 Pavia, Italy.

Classifications MeSH