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An association of epidermal growth factor receptor mutation subtypes with prognostic prediction and site-specific recurrence in advanced stage lung cancer patients
Background Concerning the different clinical behavior of epidermal growth factor receptor (EGFR) subtypes in advanced-stage lung cancer patients, the current study aimed to evaluate the clinical, pathological, and prognostic significance of EGFR mutation subtypes, and treatment response in patients...
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Published in: | Molecular biology reports 2023-06, Vol.50 (6), p.5105-5115 |
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description | Background
Concerning the different clinical behavior of epidermal growth factor receptor (EGFR) subtypes in advanced-stage lung cancer patients, the current study aimed to evaluate the clinical, pathological, and prognostic significance of EGFR mutation subtypes, and treatment response in patients with advanced-stage lung cancer.
Methods and results
A retrospective study enrolled a total of 346 patients with advanced-stage lung cancer tested for EGFR mutation. EGFR mutation was analyzed by amplification refractory mutation system-polymerase chain reaction (ARMS-PCR). Statistical analysis was performed using SPSS version 20.0. EGFR mutation was evident in 38% of patients with the highest prevalence of exon 19 deletions. A higher incidence of 19-deletions and 20-insertions were observed in young patients, while a higher incidence of L858R was noted in old age patients. Patients with de-novo T790M failed to improve their OS by any of the treatment modalities. Patients with de-novo T790M mutation have a higher risk of developing lung, liver, and multiple site metastases while patients with L858R mutation have a higher risk of developing brain metastasis. Additionally, patients with 19 deletion mutation did not improve their OS after receiving conventional chemotherapy hence, they demonstrate better survival only after EGFR-TKIs. Multivariate survival analysis predicted chemotherapy as an independent predictor of OS.
Conclusion
Besides clinicopathological and prognostic consequences of EGFR mutation and mutation subtypes, patients harboring TKI sensitive, or insensitive mutations reveal different secondary disease development and hence should be treated accordingly for better survival. Current findings may provide the basis for a better treatment strategy. |
doi_str_mv | 10.1007/s11033-023-08432-2 |
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Concerning the different clinical behavior of epidermal growth factor receptor (EGFR) subtypes in advanced-stage lung cancer patients, the current study aimed to evaluate the clinical, pathological, and prognostic significance of EGFR mutation subtypes, and treatment response in patients with advanced-stage lung cancer.
Methods and results
A retrospective study enrolled a total of 346 patients with advanced-stage lung cancer tested for EGFR mutation. EGFR mutation was analyzed by amplification refractory mutation system-polymerase chain reaction (ARMS-PCR). Statistical analysis was performed using SPSS version 20.0. EGFR mutation was evident in 38% of patients with the highest prevalence of exon 19 deletions. A higher incidence of 19-deletions and 20-insertions were observed in young patients, while a higher incidence of L858R was noted in old age patients. Patients with de-novo T790M failed to improve their OS by any of the treatment modalities. Patients with de-novo T790M mutation have a higher risk of developing lung, liver, and multiple site metastases while patients with L858R mutation have a higher risk of developing brain metastasis. Additionally, patients with 19 deletion mutation did not improve their OS after receiving conventional chemotherapy hence, they demonstrate better survival only after EGFR-TKIs. Multivariate survival analysis predicted chemotherapy as an independent predictor of OS.
Conclusion
Besides clinicopathological and prognostic consequences of EGFR mutation and mutation subtypes, patients harboring TKI sensitive, or insensitive mutations reveal different secondary disease development and hence should be treated accordingly for better survival. Current findings may provide the basis for a better treatment strategy.</description><identifier>ISSN: 0301-4851</identifier><identifier>EISSN: 1573-4978</identifier><identifier>DOI: 10.1007/s11033-023-08432-2</identifier><identifier>PMID: 37099232</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Animal Anatomy ; Animal Biochemistry ; Biomedical and Life Sciences ; Chemotherapy ; Epidermal growth factor ; Epidermal growth factor receptors ; ErbB Receptors - genetics ; Gene deletion ; Histology ; Humans ; Life Sciences ; Lung cancer ; Lung Neoplasms - pathology ; Metastases ; Morphology ; Mutation ; Mutation - genetics ; Original Article ; Patients ; Polymerase chain reaction ; Prognosis ; Protein Kinase Inhibitors - therapeutic use ; Retrospective Studies ; Statistical analysis ; Survival ; Survival analysis</subject><ispartof>Molecular biology reports, 2023-06, Vol.50 (6), p.5105-5115</ispartof><rights>The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>2023. The Author(s), under exclusive licence to Springer Nature B.V.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c326t-88b7f6b701175bd481eefdb9eb48895d3e5b4b05868e36b0cfe7d1948726b3863</cites><orcidid>0000-0002-7265-2839</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37099232$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Joshi, Jigna</creatorcontrib><creatorcontrib>Pandit, Apexa</creatorcontrib><creatorcontrib>Tarapara, Bhoomi</creatorcontrib><creatorcontrib>Patel, Hitarth</creatorcontrib><creatorcontrib>Bhavnagari, Hunayna</creatorcontrib><creatorcontrib>Panchal, Harsha</creatorcontrib><creatorcontrib>Shah, Franky D.</creatorcontrib><title>An association of epidermal growth factor receptor mutation subtypes with prognostic prediction and site-specific recurrence in advanced stage lung cancer patients</title><title>Molecular biology reports</title><addtitle>Mol Biol Rep</addtitle><addtitle>Mol Biol Rep</addtitle><description>Background
Concerning the different clinical behavior of epidermal growth factor receptor (EGFR) subtypes in advanced-stage lung cancer patients, the current study aimed to evaluate the clinical, pathological, and prognostic significance of EGFR mutation subtypes, and treatment response in patients with advanced-stage lung cancer.
Methods and results
A retrospective study enrolled a total of 346 patients with advanced-stage lung cancer tested for EGFR mutation. EGFR mutation was analyzed by amplification refractory mutation system-polymerase chain reaction (ARMS-PCR). Statistical analysis was performed using SPSS version 20.0. EGFR mutation was evident in 38% of patients with the highest prevalence of exon 19 deletions. A higher incidence of 19-deletions and 20-insertions were observed in young patients, while a higher incidence of L858R was noted in old age patients. Patients with de-novo T790M failed to improve their OS by any of the treatment modalities. Patients with de-novo T790M mutation have a higher risk of developing lung, liver, and multiple site metastases while patients with L858R mutation have a higher risk of developing brain metastasis. Additionally, patients with 19 deletion mutation did not improve their OS after receiving conventional chemotherapy hence, they demonstrate better survival only after EGFR-TKIs. Multivariate survival analysis predicted chemotherapy as an independent predictor of OS.
Conclusion
Besides clinicopathological and prognostic consequences of EGFR mutation and mutation subtypes, patients harboring TKI sensitive, or insensitive mutations reveal different secondary disease development and hence should be treated accordingly for better survival. Current findings may provide the basis for a better treatment strategy.</description><subject>Animal Anatomy</subject><subject>Animal Biochemistry</subject><subject>Biomedical and Life Sciences</subject><subject>Chemotherapy</subject><subject>Epidermal growth factor</subject><subject>Epidermal growth factor receptors</subject><subject>ErbB Receptors - genetics</subject><subject>Gene deletion</subject><subject>Histology</subject><subject>Humans</subject><subject>Life Sciences</subject><subject>Lung cancer</subject><subject>Lung Neoplasms - pathology</subject><subject>Metastases</subject><subject>Morphology</subject><subject>Mutation</subject><subject>Mutation - genetics</subject><subject>Original Article</subject><subject>Patients</subject><subject>Polymerase chain reaction</subject><subject>Prognosis</subject><subject>Protein Kinase Inhibitors - therapeutic use</subject><subject>Retrospective Studies</subject><subject>Statistical analysis</subject><subject>Survival</subject><subject>Survival analysis</subject><issn>0301-4851</issn><issn>1573-4978</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp9kctu1jAQhS1ERX8KL8ACWWLDJtS3xM6yqspFqtRNWUe-TIKrxA62Q9Xn4UXx3xSQWLCwPPL55oxHB6E3lHyghMjzTCnhvCGsHiU4a9gzdKCt5I3opXqODoQT2gjV0lP0Muc7Qoigsn2BTrkkfc84O6CfFwHrnKP1uvgYcBwxrN5BWvSMpxTvyzc8altiwgksrMdi2coO582UhxUyvvcVW1OcQszF21qC8_aR0cHh7As0eQXrxypWny0lCBawr7r7oWtZoaInwPMWJmyPLwmvdQqEkl-hk1HPGV4_3Wfo68er28vPzfXNpy-XF9eN5awrjVJGjp2RhNYljROKAozO9GCEUn3rOLRGGNKqTgHvDLEjSEd7oSTrDFcdP0Pvd9-6yfcNchkWny3Msw4QtzwwRTrRStUd0Xf_oHdxS6H-rlJUtS0RRFWK7ZRNMecE47Amv-j0MFAyHCMc9giHGuHwGOHAatPbJ-vNLOD-tPzOrAJ8B3KVwgTp7-z_2P4CH3WqiA</recordid><startdate>20230601</startdate><enddate>20230601</enddate><creator>Joshi, Jigna</creator><creator>Pandit, Apexa</creator><creator>Tarapara, Bhoomi</creator><creator>Patel, Hitarth</creator><creator>Bhavnagari, Hunayna</creator><creator>Panchal, Harsha</creator><creator>Shah, Franky D.</creator><general>Springer Netherlands</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TK</scope><scope>7TM</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>88I</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7P</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>RC3</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-7265-2839</orcidid></search><sort><creationdate>20230601</creationdate><title>An association of epidermal growth factor receptor mutation subtypes with prognostic prediction and site-specific recurrence in advanced stage lung cancer patients</title><author>Joshi, Jigna ; Pandit, Apexa ; Tarapara, Bhoomi ; Patel, Hitarth ; Bhavnagari, Hunayna ; Panchal, Harsha ; Shah, Franky D.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c326t-88b7f6b701175bd481eefdb9eb48895d3e5b4b05868e36b0cfe7d1948726b3863</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Animal Anatomy</topic><topic>Animal Biochemistry</topic><topic>Biomedical and Life Sciences</topic><topic>Chemotherapy</topic><topic>Epidermal growth factor</topic><topic>Epidermal growth factor receptors</topic><topic>ErbB Receptors - genetics</topic><topic>Gene deletion</topic><topic>Histology</topic><topic>Humans</topic><topic>Life Sciences</topic><topic>Lung cancer</topic><topic>Lung Neoplasms - pathology</topic><topic>Metastases</topic><topic>Morphology</topic><topic>Mutation</topic><topic>Mutation - genetics</topic><topic>Original Article</topic><topic>Patients</topic><topic>Polymerase chain reaction</topic><topic>Prognosis</topic><topic>Protein Kinase Inhibitors - therapeutic use</topic><topic>Retrospective Studies</topic><topic>Statistical analysis</topic><topic>Survival</topic><topic>Survival analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Joshi, Jigna</creatorcontrib><creatorcontrib>Pandit, Apexa</creatorcontrib><creatorcontrib>Tarapara, Bhoomi</creatorcontrib><creatorcontrib>Patel, Hitarth</creatorcontrib><creatorcontrib>Bhavnagari, Hunayna</creatorcontrib><creatorcontrib>Panchal, Harsha</creatorcontrib><creatorcontrib>Shah, Franky D.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Neurosciences Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>ProQuest Health and Medical</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>ProQuest Biological Science Journals</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Molecular biology reports</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Joshi, Jigna</au><au>Pandit, Apexa</au><au>Tarapara, Bhoomi</au><au>Patel, Hitarth</au><au>Bhavnagari, Hunayna</au><au>Panchal, Harsha</au><au>Shah, Franky D.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An association of epidermal growth factor receptor mutation subtypes with prognostic prediction and site-specific recurrence in advanced stage lung cancer patients</atitle><jtitle>Molecular biology reports</jtitle><stitle>Mol Biol Rep</stitle><addtitle>Mol Biol Rep</addtitle><date>2023-06-01</date><risdate>2023</risdate><volume>50</volume><issue>6</issue><spage>5105</spage><epage>5115</epage><pages>5105-5115</pages><issn>0301-4851</issn><eissn>1573-4978</eissn><abstract>Background
Concerning the different clinical behavior of epidermal growth factor receptor (EGFR) subtypes in advanced-stage lung cancer patients, the current study aimed to evaluate the clinical, pathological, and prognostic significance of EGFR mutation subtypes, and treatment response in patients with advanced-stage lung cancer.
Methods and results
A retrospective study enrolled a total of 346 patients with advanced-stage lung cancer tested for EGFR mutation. EGFR mutation was analyzed by amplification refractory mutation system-polymerase chain reaction (ARMS-PCR). Statistical analysis was performed using SPSS version 20.0. EGFR mutation was evident in 38% of patients with the highest prevalence of exon 19 deletions. A higher incidence of 19-deletions and 20-insertions were observed in young patients, while a higher incidence of L858R was noted in old age patients. Patients with de-novo T790M failed to improve their OS by any of the treatment modalities. Patients with de-novo T790M mutation have a higher risk of developing lung, liver, and multiple site metastases while patients with L858R mutation have a higher risk of developing brain metastasis. Additionally, patients with 19 deletion mutation did not improve their OS after receiving conventional chemotherapy hence, they demonstrate better survival only after EGFR-TKIs. Multivariate survival analysis predicted chemotherapy as an independent predictor of OS.
Conclusion
Besides clinicopathological and prognostic consequences of EGFR mutation and mutation subtypes, patients harboring TKI sensitive, or insensitive mutations reveal different secondary disease development and hence should be treated accordingly for better survival. Current findings may provide the basis for a better treatment strategy.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><pmid>37099232</pmid><doi>10.1007/s11033-023-08432-2</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0002-7265-2839</orcidid></addata></record> |
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subjects | Animal Anatomy Animal Biochemistry Biomedical and Life Sciences Chemotherapy Epidermal growth factor Epidermal growth factor receptors ErbB Receptors - genetics Gene deletion Histology Humans Life Sciences Lung cancer Lung Neoplasms - pathology Metastases Morphology Mutation Mutation - genetics Original Article Patients Polymerase chain reaction Prognosis Protein Kinase Inhibitors - therapeutic use Retrospective Studies Statistical analysis Survival Survival analysis |
title | An association of epidermal growth factor receptor mutation subtypes with prognostic prediction and site-specific recurrence in advanced stage lung cancer patients |
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