Literature DB >> 28387927

Multimodal lung cancer screening using the ITALUNG biomarker panel and low dose computed tomography. Results of the ITALUNG biomarker study.

Francesca Maria Carozzi1, Simonetta Bisanzi1, Laura Carrozzi2, Fabio Falaschi3, Andrea Lopes Pegna4, Mario Mascalchi5, Giulia Picozzi6, Marco Peluso1, Cristina Sani1, Luana Greco7, Cristina Ocello8, Eugenio Paci9.   

Abstract

Asymptomatic high-risk subjects, randomized in the intervention arm of the ITALUNG trial (1,406 screened for lung cancer), were enrolled for the ITALUNG biomarker study (n = 1,356), in which samples of blood and sputum were analyzed for plasma DNA quantification (cut off 5 ng/ml), loss of heterozygosity and microsatellite instability. The ITALUNG biomarker panel (IBP) was considered positive if at least one of the two biomarkers included in the panel was positive. Subjects with and without lung cancer diagnosis at the end of the screening cycle with LDCT (n = 517) were evaluated. Out of 18 baseline screen detected lung cancer cases, 17 were IBP positive (94%). Repeat screen-detected lung cancer cases were 18 and 12 of them positive at baseline IBP test (66%). Interval cancer cases (2-years) and biomarker tests after a suspect Non Calcific Nodule follow-up were investigated. The single test versus multimodal screening measures of accuracy were compared in a simulation within the screened ITALUNG intervention arm, considering screen-detected and interval cancer cases. Sensitivity was 90% at baseline screening. Specificity was 71 and 61% for LDCT and IBP as baseline single test, and improved at 89% with multimodal, combined screening. The positive predictive value was 4.3% for LDCT at baseline and 10.6% for multimodal screening. Multimodal screening could improve the screening efficiency at baseline and strategies for future implementation are discussed. If IBP was used as primary screening test, the LDCT burden might decrease of about 60%.
© 2017 UICC.

Entities:  

Keywords:  genomic instability; lung cancer screening; peripheral blood; plasma DNA; sputum

Mesh:

Substances:

Year:  2017        PMID: 28387927     DOI: 10.1002/ijc.30727

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  9 in total

Review 1.  The narrow path to organized LDCT lung cancer screening programs in Europe.

Authors:  Eugenio Paci
Journal:  J Thorac Dis       Date:  2018-07       Impact factor: 2.895

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Authors:  Nicola Fusco; Caterina Fumagalli; Elena Guerini-Rocco
Journal:  J Thorac Dis       Date:  2017-11       Impact factor: 2.895

Review 3.  Impact of low-dose computed tomography (LDCT) screening on lung cancer-related mortality.

Authors:  Asha Bonney; Reem Malouf; Corynne Marchal; David Manners; Kwun M Fong; Henry M Marshall; Louis B Irving; Renée Manser
Journal:  Cochrane Database Syst Rev       Date:  2022-08-03

Review 4.  Artificial Intelligence Predictive Models of Response to Cytotoxic Chemotherapy Alone or Combined to Targeted Therapy for Metastatic Colorectal Cancer Patients: A Systematic Review and Meta-Analysis.

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Journal:  Cancers (Basel)       Date:  2022-08-19       Impact factor: 6.575

5.  Challenges and research opportunities for lung cancer screening in China.

Authors:  Zixing Wang; Yuyan Wang; Yao Huang; Fang Xue; Wei Han; Yaoda Hu; Lei Wang; Wei Song; Jingmei Jiang
Journal:  Cancer Commun (Lond)       Date:  2018-06-07

6.  Competing endogenous RNA (ceRNA) hypothetic model based on comprehensive analysis of long non-coding RNA expression in lung adenocarcinoma.

Authors:  Xiwen Wang; Rui Su; Qiqiang Guo; Jia Liu; Banlai Ruan; Guiling Wang
Journal:  PeerJ       Date:  2019-11-07       Impact factor: 2.984

7.  Assessment of an Exhaled Breath Test Using High-Pressure Photon Ionization Time-of-Flight Mass Spectrometry to Detect Lung Cancer.

Authors:  Shushi Meng; Qingyun Li; Zuli Zhou; Hang Li; Xianping Liu; Shuli Pan; Mingru Li; Lei Wang; Yanqing Guo; Mantang Qiu; Jun Wang
Journal:  JAMA Netw Open       Date:  2021-03-01

8.  PEGylated self-assembled enzyme-responsive nanoparticles for effective targeted therapy against lung tumors.

Authors:  Fangyuan Guo; Jiangqing Wu; Wenchao Wu; Dongxue Huang; Qinying Yan; Qingliang Yang; Ying Gao; Gensheng Yang
Journal:  J Nanobiotechnology       Date:  2018-07-16       Impact factor: 10.435

9.  MicroRNA Biomarker hsa-miR-195-5p for Detecting the Risk of Lung Cancer.

Authors:  Lei Li; Tienan Feng; Weituo Zhang; Sumeng Gao; Ruoyang Wang; Wenwen Lv; Tengteng Zhu; Herbert Yu; Biyun Qian
Journal:  Int J Genomics       Date:  2020-01-02       Impact factor: 2.326

  9 in total

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