Early detection of lung cancer biomarkers through biosensor technology: A review
[Display omitted] •This review focuses on the early detection of lung cancer biomarkers.•Latest biosensing approaches for lung cancer detection studies are addressed.•Conventional methods for lung cancer biomarkers detection are also summarized. Lung cancer is undoubtedly one of the most serious hea...
Gespeichert in:
Veröffentlicht in: | Journal of pharmaceutical and biomedical analysis 2019-02, Vol.164, p.93-103 |
---|---|
Hauptverfasser: | , , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 103 |
---|---|
container_issue | |
container_start_page | 93 |
container_title | Journal of pharmaceutical and biomedical analysis |
container_volume | 164 |
creator | Roointan, Amir Ahmad Mir, Tanveer Ibrahim Wani, Shadil Mati-ur-Rehman Hussain, Khalil Khadim Ahmed, Bilal Abrahim, Shugufta Savardashtaki, Amir Gandomani, Ghazaal Gandomani, Molood Chinnappan, Raja Akhtar, Mahmood H |
description | [Display omitted]
•This review focuses on the early detection of lung cancer biomarkers.•Latest biosensing approaches for lung cancer detection studies are addressed.•Conventional methods for lung cancer biomarkers detection are also summarized.
Lung cancer is undoubtedly one of the most serious health issues of the 21 st century. It is the second leading cause of cancer-related deaths in both men and women worldwide, accounting for about 1.5 million deaths annually. Despite advances in the treatment of lung cancer with new pharmaceutical products and technological improvements, morbidity and mortality rates remains a significant challenge for the cancer biologists and oncologists. The vast majority of lung cancer patients present with advanced-stage of pathological process that ultimately leads to poor prognosis and a five-year survival rate less than 20%. Early and accurate screening and analysis using cost-effective means are urgently needed to effectively diagnose the disease, improve the survival rate or to reduce mortality and morbidity associated with lung cancer patients. Thus, the only hope for early recognition of risk factors and timely diagnosis and treatment of lung cancer is biosensors technology. Novel biosensing based diagnostics approaches for predicting metastatic risks are likely to have significant therapeutic and clinical impact in the near future. This article systematically provides a brief overview of various biosensing platforms for identification of lung cancer disease biomarkers, with a specific focus on recent advancements in electrochemical and optical biosensors, analytical performances of different biosensors, challenges and further research opportunities for routine clinical analysis. |
doi_str_mv | 10.1016/j.jpba.2018.10.017 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2126903321</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0731708518313670</els_id><sourcerecordid>2126903321</sourcerecordid><originalsourceid>FETCH-LOGICAL-c356t-bbc91cbd1b5228bbfa32161c1e60a8eafe4e77bcfb800649d71a7f3827703efb3</originalsourceid><addsrcrecordid>eNp9kE1LAzEYhIMoWj_-gAfJ0cvWvMk22YoXKX6BoAcFbyHJvttu3W5qsqv035ul6tHTwDAzMA8hp8DGwEBeLMfLtTVjzqBIxpiB2iEjKJTIuMzfdsmIKQGZYsXkgBzGuGSMTWCa75MDwYSUkBcj8nxjQrOhJXboutq31Fe06ds5daZ1GKit_cqEdwyRdovg-_lisCK20QeaOovWN36-uaTXNOBnjV_HZK8yTcSTHz0ir7c3L7P77PHp7mF2_Zg5MZFdZq2bgrMl2AnnhbWVERwkOEDJTIGmwhyVsq6yBWMyn5YKjKpEwZViAisrjsj5dncd_EePsdOrOjpsGtOi76PmwOWUibSaonwbdcHHGLDS61CnVxsNTA8k9VIPJPVAcvASyVQ6-9nv7QrLv8ovuhS42gYwvUzPg46uxgStrENiqUtf_7f_Dcs7hcI</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2126903321</pqid></control><display><type>article</type><title>Early detection of lung cancer biomarkers through biosensor technology: A review</title><source>Elsevier ScienceDirect Journals</source><creator>Roointan, Amir ; Ahmad Mir, Tanveer ; Ibrahim Wani, Shadil ; Mati-ur-Rehman ; Hussain, Khalil Khadim ; Ahmed, Bilal ; Abrahim, Shugufta ; Savardashtaki, Amir ; Gandomani, Ghazaal ; Gandomani, Molood ; Chinnappan, Raja ; Akhtar, Mahmood H</creator><creatorcontrib>Roointan, Amir ; Ahmad Mir, Tanveer ; Ibrahim Wani, Shadil ; Mati-ur-Rehman ; Hussain, Khalil Khadim ; Ahmed, Bilal ; Abrahim, Shugufta ; Savardashtaki, Amir ; Gandomani, Ghazaal ; Gandomani, Molood ; Chinnappan, Raja ; Akhtar, Mahmood H</creatorcontrib><description>[Display omitted]
•This review focuses on the early detection of lung cancer biomarkers.•Latest biosensing approaches for lung cancer detection studies are addressed.•Conventional methods for lung cancer biomarkers detection are also summarized.
Lung cancer is undoubtedly one of the most serious health issues of the 21 st century. It is the second leading cause of cancer-related deaths in both men and women worldwide, accounting for about 1.5 million deaths annually. Despite advances in the treatment of lung cancer with new pharmaceutical products and technological improvements, morbidity and mortality rates remains a significant challenge for the cancer biologists and oncologists. The vast majority of lung cancer patients present with advanced-stage of pathological process that ultimately leads to poor prognosis and a five-year survival rate less than 20%. Early and accurate screening and analysis using cost-effective means are urgently needed to effectively diagnose the disease, improve the survival rate or to reduce mortality and morbidity associated with lung cancer patients. Thus, the only hope for early recognition of risk factors and timely diagnosis and treatment of lung cancer is biosensors technology. Novel biosensing based diagnostics approaches for predicting metastatic risks are likely to have significant therapeutic and clinical impact in the near future. This article systematically provides a brief overview of various biosensing platforms for identification of lung cancer disease biomarkers, with a specific focus on recent advancements in electrochemical and optical biosensors, analytical performances of different biosensors, challenges and further research opportunities for routine clinical analysis.</description><identifier>ISSN: 0731-7085</identifier><identifier>EISSN: 1873-264X</identifier><identifier>DOI: 10.1016/j.jpba.2018.10.017</identifier><identifier>PMID: 30366148</identifier><language>eng</language><publisher>England: Elsevier B.V</publisher><subject>Biomarkers ; Detection ; Diagnosis ; Electrochemical and optical biosensors ; Lung cancer</subject><ispartof>Journal of pharmaceutical and biomedical analysis, 2019-02, Vol.164, p.93-103</ispartof><rights>2018 Elsevier B.V.</rights><rights>Copyright © 2018 Elsevier B.V. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c356t-bbc91cbd1b5228bbfa32161c1e60a8eafe4e77bcfb800649d71a7f3827703efb3</citedby><cites>FETCH-LOGICAL-c356t-bbc91cbd1b5228bbfa32161c1e60a8eafe4e77bcfb800649d71a7f3827703efb3</cites><orcidid>0000-0002-9885-2636 ; 0000-0002-0093-0924</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0731708518313670$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30366148$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Roointan, Amir</creatorcontrib><creatorcontrib>Ahmad Mir, Tanveer</creatorcontrib><creatorcontrib>Ibrahim Wani, Shadil</creatorcontrib><creatorcontrib>Mati-ur-Rehman</creatorcontrib><creatorcontrib>Hussain, Khalil Khadim</creatorcontrib><creatorcontrib>Ahmed, Bilal</creatorcontrib><creatorcontrib>Abrahim, Shugufta</creatorcontrib><creatorcontrib>Savardashtaki, Amir</creatorcontrib><creatorcontrib>Gandomani, Ghazaal</creatorcontrib><creatorcontrib>Gandomani, Molood</creatorcontrib><creatorcontrib>Chinnappan, Raja</creatorcontrib><creatorcontrib>Akhtar, Mahmood H</creatorcontrib><title>Early detection of lung cancer biomarkers through biosensor technology: A review</title><title>Journal of pharmaceutical and biomedical analysis</title><addtitle>J Pharm Biomed Anal</addtitle><description>[Display omitted]
•This review focuses on the early detection of lung cancer biomarkers.•Latest biosensing approaches for lung cancer detection studies are addressed.•Conventional methods for lung cancer biomarkers detection are also summarized.
Lung cancer is undoubtedly one of the most serious health issues of the 21 st century. It is the second leading cause of cancer-related deaths in both men and women worldwide, accounting for about 1.5 million deaths annually. Despite advances in the treatment of lung cancer with new pharmaceutical products and technological improvements, morbidity and mortality rates remains a significant challenge for the cancer biologists and oncologists. The vast majority of lung cancer patients present with advanced-stage of pathological process that ultimately leads to poor prognosis and a five-year survival rate less than 20%. Early and accurate screening and analysis using cost-effective means are urgently needed to effectively diagnose the disease, improve the survival rate or to reduce mortality and morbidity associated with lung cancer patients. Thus, the only hope for early recognition of risk factors and timely diagnosis and treatment of lung cancer is biosensors technology. Novel biosensing based diagnostics approaches for predicting metastatic risks are likely to have significant therapeutic and clinical impact in the near future. This article systematically provides a brief overview of various biosensing platforms for identification of lung cancer disease biomarkers, with a specific focus on recent advancements in electrochemical and optical biosensors, analytical performances of different biosensors, challenges and further research opportunities for routine clinical analysis.</description><subject>Biomarkers</subject><subject>Detection</subject><subject>Diagnosis</subject><subject>Electrochemical and optical biosensors</subject><subject>Lung cancer</subject><issn>0731-7085</issn><issn>1873-264X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp9kE1LAzEYhIMoWj_-gAfJ0cvWvMk22YoXKX6BoAcFbyHJvttu3W5qsqv035ul6tHTwDAzMA8hp8DGwEBeLMfLtTVjzqBIxpiB2iEjKJTIuMzfdsmIKQGZYsXkgBzGuGSMTWCa75MDwYSUkBcj8nxjQrOhJXboutq31Fe06ds5daZ1GKit_cqEdwyRdovg-_lisCK20QeaOovWN36-uaTXNOBnjV_HZK8yTcSTHz0ir7c3L7P77PHp7mF2_Zg5MZFdZq2bgrMl2AnnhbWVERwkOEDJTIGmwhyVsq6yBWMyn5YKjKpEwZViAisrjsj5dncd_EePsdOrOjpsGtOi76PmwOWUibSaonwbdcHHGLDS61CnVxsNTA8k9VIPJPVAcvASyVQ6-9nv7QrLv8ovuhS42gYwvUzPg46uxgStrENiqUtf_7f_Dcs7hcI</recordid><startdate>20190205</startdate><enddate>20190205</enddate><creator>Roointan, Amir</creator><creator>Ahmad Mir, Tanveer</creator><creator>Ibrahim Wani, Shadil</creator><creator>Mati-ur-Rehman</creator><creator>Hussain, Khalil Khadim</creator><creator>Ahmed, Bilal</creator><creator>Abrahim, Shugufta</creator><creator>Savardashtaki, Amir</creator><creator>Gandomani, Ghazaal</creator><creator>Gandomani, Molood</creator><creator>Chinnappan, Raja</creator><creator>Akhtar, Mahmood H</creator><general>Elsevier B.V</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-9885-2636</orcidid><orcidid>https://orcid.org/0000-0002-0093-0924</orcidid></search><sort><creationdate>20190205</creationdate><title>Early detection of lung cancer biomarkers through biosensor technology: A review</title><author>Roointan, Amir ; Ahmad Mir, Tanveer ; Ibrahim Wani, Shadil ; Mati-ur-Rehman ; Hussain, Khalil Khadim ; Ahmed, Bilal ; Abrahim, Shugufta ; Savardashtaki, Amir ; Gandomani, Ghazaal ; Gandomani, Molood ; Chinnappan, Raja ; Akhtar, Mahmood H</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c356t-bbc91cbd1b5228bbfa32161c1e60a8eafe4e77bcfb800649d71a7f3827703efb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Biomarkers</topic><topic>Detection</topic><topic>Diagnosis</topic><topic>Electrochemical and optical biosensors</topic><topic>Lung cancer</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Roointan, Amir</creatorcontrib><creatorcontrib>Ahmad Mir, Tanveer</creatorcontrib><creatorcontrib>Ibrahim Wani, Shadil</creatorcontrib><creatorcontrib>Mati-ur-Rehman</creatorcontrib><creatorcontrib>Hussain, Khalil Khadim</creatorcontrib><creatorcontrib>Ahmed, Bilal</creatorcontrib><creatorcontrib>Abrahim, Shugufta</creatorcontrib><creatorcontrib>Savardashtaki, Amir</creatorcontrib><creatorcontrib>Gandomani, Ghazaal</creatorcontrib><creatorcontrib>Gandomani, Molood</creatorcontrib><creatorcontrib>Chinnappan, Raja</creatorcontrib><creatorcontrib>Akhtar, Mahmood H</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of pharmaceutical and biomedical analysis</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Roointan, Amir</au><au>Ahmad Mir, Tanveer</au><au>Ibrahim Wani, Shadil</au><au>Mati-ur-Rehman</au><au>Hussain, Khalil Khadim</au><au>Ahmed, Bilal</au><au>Abrahim, Shugufta</au><au>Savardashtaki, Amir</au><au>Gandomani, Ghazaal</au><au>Gandomani, Molood</au><au>Chinnappan, Raja</au><au>Akhtar, Mahmood H</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Early detection of lung cancer biomarkers through biosensor technology: A review</atitle><jtitle>Journal of pharmaceutical and biomedical analysis</jtitle><addtitle>J Pharm Biomed Anal</addtitle><date>2019-02-05</date><risdate>2019</risdate><volume>164</volume><spage>93</spage><epage>103</epage><pages>93-103</pages><issn>0731-7085</issn><eissn>1873-264X</eissn><abstract>[Display omitted]
•This review focuses on the early detection of lung cancer biomarkers.•Latest biosensing approaches for lung cancer detection studies are addressed.•Conventional methods for lung cancer biomarkers detection are also summarized.
Lung cancer is undoubtedly one of the most serious health issues of the 21 st century. It is the second leading cause of cancer-related deaths in both men and women worldwide, accounting for about 1.5 million deaths annually. Despite advances in the treatment of lung cancer with new pharmaceutical products and technological improvements, morbidity and mortality rates remains a significant challenge for the cancer biologists and oncologists. The vast majority of lung cancer patients present with advanced-stage of pathological process that ultimately leads to poor prognosis and a five-year survival rate less than 20%. Early and accurate screening and analysis using cost-effective means are urgently needed to effectively diagnose the disease, improve the survival rate or to reduce mortality and morbidity associated with lung cancer patients. Thus, the only hope for early recognition of risk factors and timely diagnosis and treatment of lung cancer is biosensors technology. Novel biosensing based diagnostics approaches for predicting metastatic risks are likely to have significant therapeutic and clinical impact in the near future. This article systematically provides a brief overview of various biosensing platforms for identification of lung cancer disease biomarkers, with a specific focus on recent advancements in electrochemical and optical biosensors, analytical performances of different biosensors, challenges and further research opportunities for routine clinical analysis.</abstract><cop>England</cop><pub>Elsevier B.V</pub><pmid>30366148</pmid><doi>10.1016/j.jpba.2018.10.017</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0002-9885-2636</orcidid><orcidid>https://orcid.org/0000-0002-0093-0924</orcidid></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0731-7085 |
ispartof | Journal of pharmaceutical and biomedical analysis, 2019-02, Vol.164, p.93-103 |
issn | 0731-7085 1873-264X |
language | eng |
recordid | cdi_proquest_miscellaneous_2126903321 |
source | Elsevier ScienceDirect Journals |
subjects | Biomarkers Detection Diagnosis Electrochemical and optical biosensors Lung cancer |
title | Early detection of lung cancer biomarkers through biosensor technology: A review |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-05T11%3A41%3A56IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Early%20detection%20of%20lung%20cancer%20biomarkers%20through%20biosensor%20technology:%20A%20review&rft.jtitle=Journal%20of%20pharmaceutical%20and%20biomedical%20analysis&rft.au=Roointan,%20Amir&rft.date=2019-02-05&rft.volume=164&rft.spage=93&rft.epage=103&rft.pages=93-103&rft.issn=0731-7085&rft.eissn=1873-264X&rft_id=info:doi/10.1016/j.jpba.2018.10.017&rft_dat=%3Cproquest_cross%3E2126903321%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2126903321&rft_id=info:pmid/30366148&rft_els_id=S0731708518313670&rfr_iscdi=true |