Literature DB >> 29033394

Diagnostic biomarkers for lung cancer prevention.

Roberto Gasparri1, Rosalia Romano1, Giulia Sedda2,3, Alessandro Borri1, Francesco Petrella1,4, Domenico Galetta1, Monica Casiraghi1, Lorenzo Spaggiari1,4.   

Abstract

Lung cancer is the leading cause of death for neoplasm. Lung cancer mortality is frequently associated with late diagnosis, therefore an early diagnosis is a key factor to significantly improve overall survival in high risk populations of asymptomatic patients. Conventional cancer screenings (low-dose computed tomography or chest x-ray) today offer early detection but are invasive and expensive. Previously these studies evaluated the solid and topographic cancer structure and morphology. Today the concept of tumor has been remodelled, being defined as a disease that has its own genetic, biological and metabolic identity; it is on this new awareness that we should base new screening methods. Recent research has shown great reliability of new tests such as exhaled breath analysis, serum biomarkers and urine analysis in early diagnosis of lung cancer. Analysis of new biomarkers associated with the high specificity of these new screening methods, which are non-invasive, safe, inexpensive and simple to perform, could allow a non-invasive approach to determine a big change in the early diagnosis of cancer and its survival rate. Furthermore, these new techniques put the patient at the core of a non-invasive diagnostic process and ensure a better quality of life during medical diagnosis. In this article, we want to analyze the possible benefits of these new and promising methods, suggesting a possible combination between them to ensure, as soon as possible, an early and effective diagnosis of lung cancer with a special focus on the patient, in a new era of personalized medicine.

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Year:  2018        PMID: 29033394     DOI: 10.1088/1752-7163/aa9386

Source DB:  PubMed          Journal:  J Breath Res        ISSN: 1752-7155            Impact factor:   3.262


  11 in total

1.  Volatile organic compounds of biofluids for detecting lung cancer by an electronic nose based on artificial neural network.

Authors:  Ehab I Mohamed; Marwa A Mohamed; Samir M Abdel-Mageed; Taher S Abdel-Mohdy; Mohamed I Badawi; Samy H Darwish
Journal:  J Appl Biomed       Date:  2019-01-10       Impact factor: 1.797

2.  Performance evaluation of detecting circulating tumor cells and tumor cells in bronchoalveolar lavage fluid in diagnosis of peripheral lung cancer.

Authors:  Chang-Hao Zhong; Da Tong; Zi-Qing Zhou; Zhu-Quan Su; Yu-Long Luo; Jia Xing; Ya-Li Bai; Su-Jie Guo; Shi-Yue Li
Journal:  J Thorac Dis       Date:  2018-04       Impact factor: 2.895

3.  Comment from the Editor to the Special Issue: "Big Data and Precision Medicine Series I: Lung Cancer Early Diagnosis".

Authors:  Roberto Gasparri; Giulia Sedda; Lorenzo Spaggiari
Journal:  J Clin Med       Date:  2018-02-09       Impact factor: 4.241

4.  Identification of tumor-educated platelet biomarkers of non-small-cell lung cancer.

Authors:  Meiling Sheng; Zhaohui Dong; Yanping Xie
Journal:  Onco Targets Ther       Date:  2018-11-14       Impact factor: 4.147

Review 5.  Affinity Ionic Liquids for Chemoselective Gas Sensing.

Authors:  Albert Chang; Hsin-Yi Li; I-Nan Chang; Yen-Ho Chu
Journal:  Molecules       Date:  2018-09-18       Impact factor: 4.411

6.  Tizanidine (Hydrochloride) Inhibits A549 Lung Cancer Cell Proliferation and Motility Through Regulating Nischarin.

Authors:  Liang Zhao; Gefei Zhao; Qi Xue
Journal:  Onco Targets Ther       Date:  2020-01-10       Impact factor: 4.147

7.  Identification of miRNA signature for predicting the prognostic biomarker of squamous cell lung carcinoma.

Authors:  Huanqing Liu; Tingting Li; Chunsheng Dong; Jun Lyu
Journal:  PLoS One       Date:  2022-03-15       Impact factor: 3.240

8.  The Electronic Nose's Emerging Role in Respiratory Medicine.

Authors:  Roberto Gasparri; Giulia Sedda; Lorenzo Spaggiari
Journal:  Sensors (Basel)       Date:  2018-09-10       Impact factor: 3.576

9.  Improving lung cancer diagnosis by combining exhaled-breath data and clinical parameters.

Authors:  Sharina Kort; Marjolein Brusse-Keizer; Jan Willem Gerritsen; Hugo Schouwink; Emanuel Citgez; Frans de Jongh; Jan van der Maten; Suzy Samii; Marco van den Bogart; Job van der Palen
Journal:  ERJ Open Res       Date:  2020-03-16

10.  The molecular mechanism of long non-coding ribonucleic acid (lncRNA) RUNX1-IT1 promotes the proliferation and stemness of lung cancer cells.

Authors:  Yajun Miao; Tao Li; Yufei Liu; Yong Yu; Jianqiu Wu
Journal:  Transl Cancer Res       Date:  2021-11       Impact factor: 1.241

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