{"title":"Predictive Value of Inflammatory Indicators on the Efficacy of Preoperative Neoadjuvant Chemotherapy in Patients With Locally Advanced Rectal Cancer","authors":"Zechuan Jin, Dan Zhou, TingHan Yang, Ziqiang Wang","doi":"10.1155/2024/3981447","DOIUrl":null,"url":null,"abstract":"<div>\n <p><b>Objective:</b> To investigate the relationship between peripheral blood neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-C-reactive-protein ratio (LCR), and monocyte-to-leukocyte ratio (MWR) and the efficacy of neoadjuvant chemotherapy (NAC) for patients with locally advanced rectal cancer before and after chemotherapy.</p>\n <p><b>Methods:</b> Seventeen rectal cancer patients who underwent NAC at West China Hospital of Sichuan University from March 31, 2022, to April 30, 2024, were selected as the study subjects, and the predictive value of peripheral blood NLR, LMR, PLR, LCR, and MWR were included in the least absolute shrinkage and selection operator (LASSO) regression analysis for the pathological efficacy, and the significant variables were screened out and the nomogram was constructed from them. Decision curve analysis (DCA) was applied to evaluate the predictive performance of the model.</p>\n <p><b>Results:</b> LASSO regression screened three predictive variables of NLR, LMR and LCR before neoadjuvant therapy that could predict pathological complete remission (pCR), as well as changes in PLR, LCR, and MWR after neoadjuvant therapy that could predict chemotherapy inefficacy. Nomograms and DCA curves were drawn based on the variables, and internal validation showed that the model had good predictive ability.</p>\n <p><b>Conclusion:</b> The comprehensive hematological prediction model for effective NAC in rectal cancer has a good predictive ability for NAC efficacy, which can provide guidance for individualized patient treatment.</p>\n </div>","PeriodicalId":13782,"journal":{"name":"International Journal of Clinical Practice","volume":"2024 1","pages":""},"PeriodicalIF":2.2000,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/2024/3981447","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Clinical Practice","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1155/2024/3981447","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
引用次数: 0
Abstract
Objective: To investigate the relationship between peripheral blood neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-C-reactive-protein ratio (LCR), and monocyte-to-leukocyte ratio (MWR) and the efficacy of neoadjuvant chemotherapy (NAC) for patients with locally advanced rectal cancer before and after chemotherapy.
Methods: Seventeen rectal cancer patients who underwent NAC at West China Hospital of Sichuan University from March 31, 2022, to April 30, 2024, were selected as the study subjects, and the predictive value of peripheral blood NLR, LMR, PLR, LCR, and MWR were included in the least absolute shrinkage and selection operator (LASSO) regression analysis for the pathological efficacy, and the significant variables were screened out and the nomogram was constructed from them. Decision curve analysis (DCA) was applied to evaluate the predictive performance of the model.
Results: LASSO regression screened three predictive variables of NLR, LMR and LCR before neoadjuvant therapy that could predict pathological complete remission (pCR), as well as changes in PLR, LCR, and MWR after neoadjuvant therapy that could predict chemotherapy inefficacy. Nomograms and DCA curves were drawn based on the variables, and internal validation showed that the model had good predictive ability.
Conclusion: The comprehensive hematological prediction model for effective NAC in rectal cancer has a good predictive ability for NAC efficacy, which can provide guidance for individualized patient treatment.
期刊介绍:
IJCP is a general medical journal. IJCP gives special priority to work that has international appeal.
IJCP publishes:
Editorials. IJCP Editorials are commissioned. [Peer reviewed at the editor''s discretion]
Perspectives. Most IJCP Perspectives are commissioned. Example. [Peer reviewed at the editor''s discretion]
Study design and interpretation. Example. [Always peer reviewed]
Original data from clinical investigations. In particular: Primary research papers from RCTs, observational studies, epidemiological studies; pre-specified sub-analyses; pooled analyses. [Always peer reviewed]
Meta-analyses. [Always peer reviewed]
Systematic reviews. From October 2009, special priority will be given to systematic reviews. [Always peer reviewed]
Non-systematic/narrative reviews. From October 2009, reviews that are not systematic will be considered only if they include a discrete Methods section that must explicitly describe the authors'' approach. Special priority will, however, be given to systematic reviews. [Always peer reviewed]
''How to…'' papers. Example. [Always peer reviewed]
Consensus statements. [Always peer reviewed] Short reports. [Always peer reviewed]
Letters. [Peer reviewed at the editor''s discretion]
International scope
IJCP publishes work from investigators globally. Around 30% of IJCP articles list an author from the UK. Around 30% of IJCP articles list an author from the USA or Canada. Around 45% of IJCP articles list an author from a European country that is not the UK. Around 15% of articles published in IJCP list an author from a country in the Asia-Pacific region.