A Nomogram Based on Fibrinogen-to-Neutrophil Ratio as a Novel Predictor of Lymph Node Metastasis in Patients with Cervical Cancer and Type 2 Diabetes Mellitus
Hongying Kuang,1,* Dongxia Yang,2,* Ruoyao Lin,3 Yaling Tang,4 Yongli Luo,3 Shuwen Wang,5 Tingting Xia,5 Ge Lou,6 Hong Chen4 1Department of Gynecology, The First Affiliated Hospital of Heilongjiang University of Chinese Medicine, Harbin, Heilongjiang, 150040, People’s Republi...
Saved in:
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Dove Medical Press
2025-05-01
|
| Series: | Cancer Management and Research |
| Subjects: | |
| Online Access: | https://www.dovepress.com/a-nomogram-based-on-fibrinogen-to-neutrophil-ratio-as-a-novel-predicto-peer-reviewed-fulltext-article-CMAR |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850189868353716224 |
|---|---|
| author | Kuang H Yang D Lin R Tang Y Luo Y Wang S Xia T Lou G Chen H |
| author_facet | Kuang H Yang D Lin R Tang Y Luo Y Wang S Xia T Lou G Chen H |
| author_sort | Kuang H |
| collection | DOAJ |
| description | Hongying Kuang,1,* Dongxia Yang,2,* Ruoyao Lin,3 Yaling Tang,4 Yongli Luo,3 Shuwen Wang,5 Tingting Xia,5 Ge Lou,6 Hong Chen4 1Department of Gynecology, The First Affiliated Hospital of Heilongjiang University of Chinese Medicine, Harbin, Heilongjiang, 150040, People’s Republic of China; 2Department of Gynecology, The Second Affiliated Hospital of Heilongjiang University of Chinese Medicine, Harbin, Heilongjiang, 150001, People’s Republic of China; 3Department of Clinical Medicine, School of Medicine, Xiamen University, Xiamen, Fujian, 361005, People’s Republic of China; 4Department of Obstetrics and Gynecology, The First Affiliated Hospital of Xiamen University, Xiamen, Fujian, 361003, People’s Republic of China; 5Department of Obstetrics and Gynecology, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen, Fujian, 361003, People’s Republic of China; 6Department of Gynecology, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, 150081, People’s Republic of China*These authors contributed equally to this workCorrespondence: Hong Chen, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Xiamen University, No. 150 Shanggu Street, Siming District, Xiamen, Fujian, 361003, People’s Republic of China, Tel +86 0592213 7307, Email jianguang09@163.comBackground: The rising incidence of cervical cancer among individuals with diabetes is a matter of significant concern, presenting profound implications for the health status and quality of life worldwide. In patients diagnosed with early-stage cervical cancer, the extent of lymph node involvement has emerged as a critical prognostic factor influencing recurrence risk and survival outcomes. Therefore, the precise prediction of pelvic lymph node metastasis is essential for an accurate assessment of prognosis. The preoperative identification of lymph node metastasis constitutes a pivotal element in the formulation of personalized treatment strategies. It has been demonstrated that inflammatory markers such as neutrophils, lymphocytes, and fibrinogen significantly contribute to cancer progression and prognostic evaluations. In this regard, we propose the fibrinogen-to-neutrophil ratio (FNR) as an innovative and promising biomarker for evaluating pelvic lymph node metastasis in cervical cancer patients with type 2 diabetes.Methods: The study was conducted on 141 patients diagnosed with cervical cancer and concomitant type 2 diabetes, who were treated at the First Affiliated Hospital of Xiamen University. The patients were randomly divided into a training set (n=98) and a validation set (n=43), with a ratio of 7:3. Univariate and multivariate logistic regression analyses were performed to identify independent risk factors, and a prognostic model was established based on these findings. The model’s effectiveness was evaluated.Results: A nomogram that integrates multiple factors, including FNR, triglycerides, maximum diameter, and total protein, demonstrates superior potential in predicting pelvic lymph node metastasis in patients with type 2 diabetes and cervical cancer, compared to the use of a single biomarker.Conclusion: As a comprehensive biomarker, FNR shows significant potential in offering a more thorough and reliable approach for identifying cervical cancer patients with diabetes who are at an elevated risk of lymph node metastasis.Keywords: cervical cancer, diabetes mellitus, pelvic lymph node metastasis, fibrinogen-to-neutrophil ratio, inflammatory biomarkers, preoperative prediction |
| format | Article |
| id | doaj-art-35f785867a6e4b949f28480c4ffa5e65 |
| institution | OA Journals |
| issn | 1179-1322 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Dove Medical Press |
| record_format | Article |
| series | Cancer Management and Research |
| spelling | doaj-art-35f785867a6e4b949f28480c4ffa5e652025-08-20T02:15:29ZengDove Medical PressCancer Management and Research1179-13222025-05-01Volume 17Issue 1933954102849A Nomogram Based on Fibrinogen-to-Neutrophil Ratio as a Novel Predictor of Lymph Node Metastasis in Patients with Cervical Cancer and Type 2 Diabetes MellitusKuang H0Yang D1Lin R2Tang Y3Luo YWang S4Xia TLou G5Chen H6gynecologyDepartment of GynecologyMedical departmentgynecologyThe First Affiliated Hospital of Xiamen UniversityDepartment of GynecologyDepartment of Obstetrics and GynecologyHongying Kuang,1,* Dongxia Yang,2,* Ruoyao Lin,3 Yaling Tang,4 Yongli Luo,3 Shuwen Wang,5 Tingting Xia,5 Ge Lou,6 Hong Chen4 1Department of Gynecology, The First Affiliated Hospital of Heilongjiang University of Chinese Medicine, Harbin, Heilongjiang, 150040, People’s Republic of China; 2Department of Gynecology, The Second Affiliated Hospital of Heilongjiang University of Chinese Medicine, Harbin, Heilongjiang, 150001, People’s Republic of China; 3Department of Clinical Medicine, School of Medicine, Xiamen University, Xiamen, Fujian, 361005, People’s Republic of China; 4Department of Obstetrics and Gynecology, The First Affiliated Hospital of Xiamen University, Xiamen, Fujian, 361003, People’s Republic of China; 5Department of Obstetrics and Gynecology, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen, Fujian, 361003, People’s Republic of China; 6Department of Gynecology, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, 150081, People’s Republic of China*These authors contributed equally to this workCorrespondence: Hong Chen, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Xiamen University, No. 150 Shanggu Street, Siming District, Xiamen, Fujian, 361003, People’s Republic of China, Tel +86 0592213 7307, Email jianguang09@163.comBackground: The rising incidence of cervical cancer among individuals with diabetes is a matter of significant concern, presenting profound implications for the health status and quality of life worldwide. In patients diagnosed with early-stage cervical cancer, the extent of lymph node involvement has emerged as a critical prognostic factor influencing recurrence risk and survival outcomes. Therefore, the precise prediction of pelvic lymph node metastasis is essential for an accurate assessment of prognosis. The preoperative identification of lymph node metastasis constitutes a pivotal element in the formulation of personalized treatment strategies. It has been demonstrated that inflammatory markers such as neutrophils, lymphocytes, and fibrinogen significantly contribute to cancer progression and prognostic evaluations. In this regard, we propose the fibrinogen-to-neutrophil ratio (FNR) as an innovative and promising biomarker for evaluating pelvic lymph node metastasis in cervical cancer patients with type 2 diabetes.Methods: The study was conducted on 141 patients diagnosed with cervical cancer and concomitant type 2 diabetes, who were treated at the First Affiliated Hospital of Xiamen University. The patients were randomly divided into a training set (n=98) and a validation set (n=43), with a ratio of 7:3. Univariate and multivariate logistic regression analyses were performed to identify independent risk factors, and a prognostic model was established based on these findings. The model’s effectiveness was evaluated.Results: A nomogram that integrates multiple factors, including FNR, triglycerides, maximum diameter, and total protein, demonstrates superior potential in predicting pelvic lymph node metastasis in patients with type 2 diabetes and cervical cancer, compared to the use of a single biomarker.Conclusion: As a comprehensive biomarker, FNR shows significant potential in offering a more thorough and reliable approach for identifying cervical cancer patients with diabetes who are at an elevated risk of lymph node metastasis.Keywords: cervical cancer, diabetes mellitus, pelvic lymph node metastasis, fibrinogen-to-neutrophil ratio, inflammatory biomarkers, preoperative predictionhttps://www.dovepress.com/a-nomogram-based-on-fibrinogen-to-neutrophil-ratio-as-a-novel-predicto-peer-reviewed-fulltext-article-CMARCervical CancerDiabetes MellitusPelvic Lymph Node MetastasisFibrinogen-To-Neutrophil RatioInflammatory BiomarkersPreoperative Prediction |
| spellingShingle | Kuang H Yang D Lin R Tang Y Luo Y Wang S Xia T Lou G Chen H A Nomogram Based on Fibrinogen-to-Neutrophil Ratio as a Novel Predictor of Lymph Node Metastasis in Patients with Cervical Cancer and Type 2 Diabetes Mellitus Cancer Management and Research Cervical Cancer Diabetes Mellitus Pelvic Lymph Node Metastasis Fibrinogen-To-Neutrophil Ratio Inflammatory Biomarkers Preoperative Prediction |
| title | A Nomogram Based on Fibrinogen-to-Neutrophil Ratio as a Novel Predictor of Lymph Node Metastasis in Patients with Cervical Cancer and Type 2 Diabetes Mellitus |
| title_full | A Nomogram Based on Fibrinogen-to-Neutrophil Ratio as a Novel Predictor of Lymph Node Metastasis in Patients with Cervical Cancer and Type 2 Diabetes Mellitus |
| title_fullStr | A Nomogram Based on Fibrinogen-to-Neutrophil Ratio as a Novel Predictor of Lymph Node Metastasis in Patients with Cervical Cancer and Type 2 Diabetes Mellitus |
| title_full_unstemmed | A Nomogram Based on Fibrinogen-to-Neutrophil Ratio as a Novel Predictor of Lymph Node Metastasis in Patients with Cervical Cancer and Type 2 Diabetes Mellitus |
| title_short | A Nomogram Based on Fibrinogen-to-Neutrophil Ratio as a Novel Predictor of Lymph Node Metastasis in Patients with Cervical Cancer and Type 2 Diabetes Mellitus |
| title_sort | nomogram based on fibrinogen to neutrophil ratio as a novel predictor of lymph node metastasis in patients with cervical cancer and type 2 diabetes mellitus |
| topic | Cervical Cancer Diabetes Mellitus Pelvic Lymph Node Metastasis Fibrinogen-To-Neutrophil Ratio Inflammatory Biomarkers Preoperative Prediction |
| url | https://www.dovepress.com/a-nomogram-based-on-fibrinogen-to-neutrophil-ratio-as-a-novel-predicto-peer-reviewed-fulltext-article-CMAR |
| work_keys_str_mv | AT kuangh anomogrambasedonfibrinogentoneutrophilratioasanovelpredictoroflymphnodemetastasisinpatientswithcervicalcancerandtype2diabetesmellitus AT yangd anomogrambasedonfibrinogentoneutrophilratioasanovelpredictoroflymphnodemetastasisinpatientswithcervicalcancerandtype2diabetesmellitus AT linr anomogrambasedonfibrinogentoneutrophilratioasanovelpredictoroflymphnodemetastasisinpatientswithcervicalcancerandtype2diabetesmellitus AT tangy anomogrambasedonfibrinogentoneutrophilratioasanovelpredictoroflymphnodemetastasisinpatientswithcervicalcancerandtype2diabetesmellitus AT luoy anomogrambasedonfibrinogentoneutrophilratioasanovelpredictoroflymphnodemetastasisinpatientswithcervicalcancerandtype2diabetesmellitus AT wangs anomogrambasedonfibrinogentoneutrophilratioasanovelpredictoroflymphnodemetastasisinpatientswithcervicalcancerandtype2diabetesmellitus AT xiat anomogrambasedonfibrinogentoneutrophilratioasanovelpredictoroflymphnodemetastasisinpatientswithcervicalcancerandtype2diabetesmellitus AT loug anomogrambasedonfibrinogentoneutrophilratioasanovelpredictoroflymphnodemetastasisinpatientswithcervicalcancerandtype2diabetesmellitus AT chenh anomogrambasedonfibrinogentoneutrophilratioasanovelpredictoroflymphnodemetastasisinpatientswithcervicalcancerandtype2diabetesmellitus AT kuangh nomogrambasedonfibrinogentoneutrophilratioasanovelpredictoroflymphnodemetastasisinpatientswithcervicalcancerandtype2diabetesmellitus AT yangd nomogrambasedonfibrinogentoneutrophilratioasanovelpredictoroflymphnodemetastasisinpatientswithcervicalcancerandtype2diabetesmellitus AT linr nomogrambasedonfibrinogentoneutrophilratioasanovelpredictoroflymphnodemetastasisinpatientswithcervicalcancerandtype2diabetesmellitus AT tangy nomogrambasedonfibrinogentoneutrophilratioasanovelpredictoroflymphnodemetastasisinpatientswithcervicalcancerandtype2diabetesmellitus AT luoy nomogrambasedonfibrinogentoneutrophilratioasanovelpredictoroflymphnodemetastasisinpatientswithcervicalcancerandtype2diabetesmellitus AT wangs nomogrambasedonfibrinogentoneutrophilratioasanovelpredictoroflymphnodemetastasisinpatientswithcervicalcancerandtype2diabetesmellitus AT xiat nomogrambasedonfibrinogentoneutrophilratioasanovelpredictoroflymphnodemetastasisinpatientswithcervicalcancerandtype2diabetesmellitus AT loug nomogrambasedonfibrinogentoneutrophilratioasanovelpredictoroflymphnodemetastasisinpatientswithcervicalcancerandtype2diabetesmellitus AT chenh nomogrambasedonfibrinogentoneutrophilratioasanovelpredictoroflymphnodemetastasisinpatientswithcervicalcancerandtype2diabetesmellitus |