Literature DB >> 26471082

Lung Cancer Biomarkers.

Hoseok I1, Je-Yoel Cho2.   

Abstract

Lung cancer is the most frequently occurring cancer in the world and continually leads in mortality among cancers. The overall 5-year survival rate for lung cancer has risen only 4% (from 12% to 16%) over the past 4 decades, and late diagnosis is a major obstacle in improving lung cancer prognosis. Survival of patients undergoing lung resection is greater than 80%, suggesting that early detection and diagnosis of cancers before they become inoperable and lethal will greatly improve mortality. Lung cancer biomarkers can be used for screening, detection, diagnosis, prognosis, prediction, stratification, therapy response monitoring, and so on. This review focuses on noninvasive diagnostic and prognostic biomarkers. For that purpose, our discussion in this review will focus on biological fluid-based biomarkers. The body fluids include blood (serum or plasma), sputum, saliva, BAL, pleural effusion, and VOC. Since it is rich in different cellular and molecular elements and is one of the most convenient and routine clinical procedures, serum or plasma is the main source for the development and validation of many noninvasive biomarkers. In terms of molecular aspects, the most widely validated ones are proteins, some of which are used in the clinical sector, though in limited accessory purposes. We will also discuss the lung cancer (protein) biomarkers in clinical trials and currently in the validation phase with hundreds of samples. After proteins, we will discuss microRNAs, methylated DNA, and circulating tumor cells, which are being vigorously developed and validated as potential lung cancer biomarkers. The main aim of this review is to provide researchers and clinicians with an understanding of the potential noninvasive lung cancer biomarkers in biological fluids that have recently been discovered.
© 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Circulating tumor cells; Clinical trials; Diagnosis; Lung cancer biomarkers; Methylated DNAs; Prediction; Prognosis; Proteome; miRNAs

Mesh:

Substances:

Year:  2015        PMID: 26471082     DOI: 10.1016/bs.acc.2015.07.003

Source DB:  PubMed          Journal:  Adv Clin Chem        ISSN: 0065-2423            Impact factor:   5.394


  44 in total

1.  Role of plasma MicroRNAs in the early diagnosis of non-small-cell lung cancers: a case-control study.

Authors:  Xin Wang; Xiuyi Zhi; Yi Zhang; Guangyu An; Guosheng Feng
Journal:  J Thorac Dis       Date:  2016-07       Impact factor: 2.895

2.  Evaluation of Thiol/Disulfide Homeostasis in Lung Cancer.

Authors:  Melahat Uzel Şener; Özlem Sönmez; İhsan Atila Keyf; Özcan Erel; Murat Alışık; Sertan Bulut; Yurdanur Erdoğan
Journal:  Turk Thorac J       Date:  2020-07

3.  Blood Chromogranin A Is Not Effective as a Biomarker for Diagnosis or Management of Bronchopulmonary Neuroendocrine Tumors/Neoplasms.

Authors:  Somer Matar; Anna Malczewska; Kjell Oberg; Lisa Bodei; Harry Aslanian; Anna Lewczuk-Myślicka; Pier Luigi Filosso; Alejandro L Suarez; Agnieszka Kolasińska-Ćwikła; Matteo Roffinella; Beata Kos-Kudła; Jarosław B Ćwikła; Ignat A Drozdov; Mark Kidd; Irvin M Modlin
Journal:  Neuroendocrinology       Date:  2019-04-16       Impact factor: 4.914

4.  A Gene Expression Classifier from Whole Blood Distinguishes Benign from Malignant Lung Nodules Detected by Low-Dose CT.

Authors:  Andrew V Kossenkov; Rehman Qureshi; Noor B Dawany; Jayamanna Wickramasinghe; Qin Liu; R Sonali Majumdar; Celia Chang; Sandy Widura; Trisha Kumar; Wen-Hwai Horng; Eric Konnisto; Gerard Criner; Jun-Chieh J Tsay; Harvey Pass; Sai Yendamuri; Anil Vachani; Thomas Bauer; Brian Nam; William N Rom; Michael K Showe; Louise C Showe
Journal:  Cancer Res       Date:  2018-11-28       Impact factor: 12.701

5.  Discovering Panel of Autoantibodies for Early Detection of Lung Cancer Based on Focused Protein Array.

Authors:  Di Jiang; Xue Zhang; Man Liu; Yulin Wang; Tingting Wang; Lu Pei; Peng Wang; Hua Ye; Jianxiang Shi; Chunhua Song; Kaijuan Wang; Xiao Wang; Liping Dai; Jianying Zhang
Journal:  Front Immunol       Date:  2021-04-23       Impact factor: 7.561

6.  IL-10 -1082A/G, -592C/A, and -819T/C polymorphisms in association with lung cancer susceptibility: a meta-analysis.

Authors:  Liang Liu; Feng Zheng
Journal:  Onco Targets Ther       Date:  2016-10-07       Impact factor: 4.147

7.  Highly Sensitive Marker Panel for Guidance in Lung Cancer Rapid Diagnostic Units.

Authors:  Sonia Blanco-Prieto; Loretta De Chiara; Mar Rodríguez-Girondo; Lorena Vázquez-Iglesias; Francisco Javier Rodríguez-Berrocal; Alberto Fernández-Villar; María Isabel Botana-Rial; María Páez de la Cadena
Journal:  Sci Rep       Date:  2017-01-24       Impact factor: 4.379

8.  Using the New CellCollector to Capture Circulating Tumor Cells from Blood in Different Groups of Pulmonary Disease: A Cohort Study.

Authors:  Yutong He; Jin Shi; Gaofeng Shi; Xiaoli Xu; Qingyi Liu; Congmin Liu; Zhaoyu Gao; Jiaoteng Bai; Baoen Shan
Journal:  Sci Rep       Date:  2017-08-25       Impact factor: 4.379

9.  Biomarkers for recurrent pressure injury risk in persons with spinal cord injury.

Authors:  Katie Schwartz; M Kristi Henzel; Mary Ann Richmond; Jennifer K Zindle; Jacinta M Seton; David P Lemmer; Nannette Alvarado; Kath M Bogie
Journal:  J Spinal Cord Med       Date:  2019-09-06       Impact factor: 1.985

10.  Methionyl-tRNA synthetase overexpression is associated with poor clinical outcomes in non-small cell lung cancer.

Authors:  Eun Young Kim; Ji Ye Jung; Arum Kim; Kwangsoo Kim; Yoon Soo Chang
Journal:  BMC Cancer       Date:  2017-07-05       Impact factor: 4.430

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