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Li GP, Zhang D, Li MH, Yuan FF, Hou XJ, He DJ, Wei XD, Fu YW. Association between the neutrophil-to-lymphocyte ratio and cancer in adults from NHANES 2005-2018: a cross-sectional study. Sci Rep 2024; 14:23678. [PMID: 39390050 PMCID: PMC11467198 DOI: 10.1038/s41598-024-75252-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2024] [Accepted: 10/03/2024] [Indexed: 10/12/2024] Open
Abstract
Inflammation plays a crucial role in cancer development. The neutrophil-to-lymphocyte ratio (NLR), a measure of inflammation, is obtained from a complete blood count. However, little is known about the association between NLR and cancer in the general adult population in the United States. This study aimed to evaluate whether NLR is associated with cancer in American adults. This retrospective cross-sectional study included 28,016 adult participants from the National Health and Nutrition Examination Survey (NHANES) dataset spanning 2005 to 2018. Data on demographics (age, sex, race, marital status, Poverty-Income Ratio, education level), lifestyle factors (smoking, alcohol consumption, body mass index), medical conditions (hypertension, diabetes, cardiovascular disease), and laboratory parameters (hemoglobin, platelet count, alanine aminotransferase, creatinine, albumin, and lactate dehydrogenase), were collected. Logistic regression analysis was used to investigate the research objectives. Of the total 28,016 participants, 2639 had cancer. The mean age was 49.6 ± 17.6 years, and 50% were male. A positive association between NLR and cancer risk was observed after multivariate adjustment (OR = 1.20, 95% confidence interval (CI) = 1.05-1.36, p = 0.006). Similar patterns were observed in subgroup analyses (all p-values for interaction > 0.05). A higher NLR was directly correlated with an increased risk of developing cancer in adults.
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Affiliation(s)
- Gang-Ping Li
- Department of Hematology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, No. 127 Dongming Road, Zhengzhou, 450008, China
| | - Di Zhang
- Department of Hematology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, No. 127 Dongming Road, Zhengzhou, 450008, China
| | - Ming-Hui Li
- Department of Hematology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, No. 127 Dongming Road, Zhengzhou, 450008, China
| | - Fang-Fang Yuan
- Department of Hematology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, No. 127 Dongming Road, Zhengzhou, 450008, China
| | - Xin-Jiang Hou
- College of Medicine, Xi'an International University, Xi'an, 710077, China
| | - Dong-Jie He
- Department of Radiation Oncology, Tangdu Hospital, the Second Affiliated Hospital of Air Force Military Medical University, No. 1 Xinsi Road, Xi'an, 710077, China.
| | - Xu-Dong Wei
- Department of Hematology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, No. 127 Dongming Road, Zhengzhou, 450008, China.
| | - Yue-Wen Fu
- Department of Hematology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, No. 127 Dongming Road, Zhengzhou, 450008, China.
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Gao X, Qi J, Du B, Weng X, Lai J, Wu R. Combined influence of nutritional and inflammatory status and breast cancer: findings from the NHANES. BMC Public Health 2024; 24:2245. [PMID: 39160507 PMCID: PMC11331661 DOI: 10.1186/s12889-024-19727-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2024] [Accepted: 08/08/2024] [Indexed: 08/21/2024] Open
Abstract
BACKGROUND Previous studies have hinted at the benefits of following an anti-inflammatory diet for potentially reducing breast cancer prevalence. However, the combined influence of diet and inflammation on breast cancer remains unclear. METHODS The advanced lung cancer inflammation index (ALI) was used to assess inflammation and nutritional status. Statistical methods, such as multivariable logistic regression, eXtreme Gradient Boosting (XGBoost) model, and subgroup analysis, were employed to analyze the impact of ALI on prevalence of BC. Additionally, a two-piece-wise logistic regression model with smoothing was used to determine the ALI threshold for BC prevalence. The study aimed to understand the mechanistic association between ALI levels and BC development. RESULTS The mean (SD) age of the study population was 50.0 (17.7) years, with 40.0% of individuals classified as obese. Comparing ALI tertiles to the lowest tertile, the odds ratios (95% CI) for breast cancer (BC) were 0.78 (0.62, 0.98) and 0.68 (0.52, 0.87) for T2-T3. The XGBoost machine learning model was employed to assess the importance of selected factors, revealing ALI as one of the top five variables influencing BC. Subgroup analysis identified a correlation between ALI, alcohol consumption, and menopausal status. Additionally, ALI levels were associated with decreased estradiol (E2) levels, increased total testosterone (TT)/E2 ratio, and TT/sex hormone-binding globulin (SHBG) ratio. CONCLUSION This study indicates a potential protective effect of ALI levels against breast cancer, possibly related to sex hormone disruption. The findings support the use of optimal therapeutic strategies for preventing breast cancer.
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Affiliation(s)
- Xinyan Gao
- Department of Medical Oncology, Fujian Medical University Union Hospital, Fuzhou, 350001, Fujian, People's Republic of China
| | - Jianchao Qi
- Department of Emergency Surgery, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou, 350001, Fujian, People's Republic of China
| | - Bin Du
- Department of Medical Oncology, Fujian Medical University Union Hospital, Fuzhou, 350001, Fujian, People's Republic of China
| | - Xiaojiao Weng
- Department of Medical Oncology, Fujian Medical University Union Hospital, Fuzhou, 350001, Fujian, People's Republic of China
| | - Jinhuo Lai
- Department of Medical Oncology, Fujian Medical University Union Hospital, Fuzhou, 350001, Fujian, People's Republic of China.
| | - Riping Wu
- Department of Medical Oncology, Fujian Medical University Union Hospital, Fuzhou, 350001, Fujian, People's Republic of China.
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Lv M, Wu S, Zhang Z, Zhang Z, Wan J. The predictive value of LGR for distant metastasis-free survival in locally advanced rectal cancer patients. Heliyon 2024; 10:e32045. [PMID: 38867999 PMCID: PMC11168402 DOI: 10.1016/j.heliyon.2024.e32045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Revised: 05/27/2024] [Accepted: 05/28/2024] [Indexed: 06/14/2024] Open
Abstract
Studies show that inflammation induced by cancer is a key factor in carcinogenesis. Here, we sought to assess the relationship between patients with locally advanced rectal cancer (LARC) and the lymphocyte to neutrophil granulocyte ratio (LGR) prior to neoadjuvant chemoradiotherapy (nCRT) and distant metastasis-free survival (DMFS). Using a receiver operating characteristic (ROC) analysis of 326 LARC patients who underwent total mesorectal excision (TME) surgery and neoadjuvant chemoradiotherapy, we were able to determine the ideal LGR cutoff value. We used the Kaplan-Meier method and univariate and multivariate Cox regression to study the clinical characteristics of LARC patients in comparison between the low LGR group and the high LGR group. DMFS analysis was one of the primary clinical variables examined. We discovered that the low LGR group of LARC patients had a longer DMFS than the high LGR group. The median duration of follow-up for LARC patients was 89.4 months, with a significantly lower DMFS observed in the high LGR group compared to the low LGR group. Multivariate Cox regression analysis revealed that LARC patients with low LGR levels, early ypTNM stages, and BRAF wild had longer DMFS. LGR prior to nCRT was a critical prognostic indicator that contributed extra predictive value beyond conventional clinicopathological characteristics to predict the outcome of LARC patients receiving neoadjuvant chemoradiotherapy followed by TME surgery.
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Affiliation(s)
- Minghe Lv
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
- Shanghai Clinical Research Center for Radiation Oncology Shanghai Key Laboratory of Radiation Oncology, Shanghai, 200032, China
- Department of Radiotherapy, Shuguang Hospital Affiliated to Shanghai University of Chinese Traditional Medicine, Zhang Heng Road, Pudong New Area, Shanghai, 201203, China
| | - Songsong Wu
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
- Shanghai Clinical Research Center for Radiation Oncology Shanghai Key Laboratory of Radiation Oncology, Shanghai, 200032, China
- Department of Radiotherapy, The Third Affiliated Hospital of Wenzhou Medical University, Zhejiang, 325200, China
| | - Zhiyuan Zhang
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
- Shanghai Clinical Research Center for Radiation Oncology Shanghai Key Laboratory of Radiation Oncology, Shanghai, 200032, China
| | - Zhen Zhang
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
- Shanghai Clinical Research Center for Radiation Oncology Shanghai Key Laboratory of Radiation Oncology, Shanghai, 200032, China
| | - Juefeng Wan
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
- Shanghai Clinical Research Center for Radiation Oncology Shanghai Key Laboratory of Radiation Oncology, Shanghai, 200032, China
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Yang F, Hua Q, Zhu X, Xu P. Surgical stress induced tumor immune suppressive environment. Carcinogenesis 2024; 45:185-198. [PMID: 38366618 DOI: 10.1093/carcin/bgae012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 01/25/2024] [Accepted: 02/14/2024] [Indexed: 02/18/2024] Open
Abstract
Despite significant advances in cancer treatment over the decades, surgical resection remains a prominent management approach for solid neoplasms. Unfortunately, accumulating evidence suggests that surgical stress caused by tumor resection may potentially trigger postoperative metastatic niche formation. Surgical stress not only activates the sympathetic-adrenomedullary axis and hypothalamic-pituitary-adrenocortical axis but also induces hypoxia and hypercoagulable state. These adverse factors can negatively impact the immune system by downregulating immune effector cells and upregulating immune suppressor cells, which contribute to the colonization and progression of postoperative tumor metastatic niche. This review summarizes the effects of surgical stress on four types of immune effector cells (neutrophils, macrophages, natural killer cells and cytotoxic T lymphocytes) and two types of immunosuppressive cells (regulatory T cells and myeloid-derived suppressor cells), and discusses the immune mechanisms of postoperative tumor relapse and progression. Additionally, relevant therapeutic strategies to minimize the pro-tumorigenic effects of surgical stress are elucidated.
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Affiliation(s)
- Fan Yang
- Department of Anesthesiology, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Research Center for Neuro-Oncology Interaction, Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou 310022, China
- Department of Anesthesiology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Qing Hua
- Department of Anesthesiology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Xiaoyan Zhu
- Department of Physiology, Navy Medical University, 800 Xiangyin Road, Shanghai 200433, China
| | - Pingbo Xu
- Department of Anesthesiology, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Research Center for Neuro-Oncology Interaction, Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou 310022, China
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Sang B, Fan Y, Wang X, Dong L, Gong Y, Zou W, Zhao G, He J. The prognostic value of absolute lymphocyte count and neutrophil-to-lymphocyte ratio for patients with metastatic breast cancer: a systematic review and meta-analysis. Front Oncol 2024; 14:1360975. [PMID: 38515567 PMCID: PMC10955091 DOI: 10.3389/fonc.2024.1360975] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2023] [Accepted: 02/16/2024] [Indexed: 03/23/2024] Open
Abstract
Background Neutrophil-to-lymphocyte ratio (NLR) is considered a potential prognostic marker in early breast cancer. However, the prognosis of absolute lymphocyte count (ALC) and NLR in metastatic breast cancer (MBC) has been reported in a few studies, and conclusions are still conflicting. This present manuscript aims to provide further solid evidence regarding the prognostic values of ALC and NLR in MBC patients. Method Eligible studies that reported the associations between ALC or NLR and MBC were included by searching relative electronic databases. Overall survival (OS) and progression-free survival (PFS) were used as outcome measures. The hazard ratio (HR) values and 95% confidence interval (CI) of the outcome measures were collected as effect sizes, and further analysis and discussion were conducted according to the pooled HR, subgroup analysis, publication bias, and interstudy heterogeneity. Results Twenty-nine studies comprising 3,973 patients with MBC were included. According to our findings, lower ALC was significantly associated with poorer prognosis of OS (HR = 0.57, 95% CI 0.48 to 0.68) and PFS (HR = 0.68, 95% CI 0.58 to 0.79), and greater NLR was associated with poorer OS (HR = 1.50, 95% CI 1.35 to 1.67) and PFS (HR = 1.82, 95% CI 1.42 to 2.35). Furthermore, the prognostic values of ALC and NLR in MBC were also observed in the subgroup analyses regarding cutoff values and ethnicities. Conclusion Low ALC and elevated NLR were observed to be significantly associated with adverse OS and PFS in MBC, indicating that ALC and NLR may act as potential prognostic biomarkers of MBC patients. Meanwhile, our results will also provide some novel evidence and research clues for the selection and development of clinical treatment strategies for MBC patients. Systematic review registration https://www.crd.york.ac.uk/PROSPERO/, identifier CRD42021224114.
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Affiliation(s)
- Bulin Sang
- Clinical Pharmacology Research Center, Yunnan Provincial Hospital of Traditional Chinese Medicine, Kunming, China
| | - Yuxin Fan
- Clinical Pharmacology Research Center, Yunnan Provincial Hospital of Traditional Chinese Medicine, Kunming, China
| | - Xurao Wang
- College of Pharmacy, Dali University, Dali, China
| | - Lixian Dong
- Clinical Pharmacology Research Center, Yunnan Provincial Hospital of Traditional Chinese Medicine, Kunming, China
| | - Yuanyuan Gong
- Department of Clinical Pharmacy, 920th Hospital of Joint Logistics Support Force, Kunming, China
| | - Wenhong Zou
- Clinical Pharmacology Research Center, Yunnan Provincial Hospital of Traditional Chinese Medicine, Kunming, China
| | - Guanhua Zhao
- Clinical Pharmacology Research Center, Yunnan Provincial Hospital of Traditional Chinese Medicine, Kunming, China
| | - Jianchang He
- Clinical Pharmacology Research Center, Yunnan Provincial Hospital of Traditional Chinese Medicine, Kunming, China
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Arora R, Alam F, Zaka-Ur-Rab A, Maheshwari V, Alam K, Hasan M. Peripheral Neutrophil to Lymphocyte Ratio (NLR), a cogent clinical adjunct for Ki-67 in breast cancer. J Egypt Natl Canc Inst 2023; 35:43. [PMID: 38143264 DOI: 10.1186/s43046-023-00200-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2022] [Accepted: 11/29/2023] [Indexed: 12/26/2023] Open
Abstract
BACKGROUND Clinical utility of Ki-67 immunohistochemistry (IHC) in breast cancer (BC) is mainly limited to decide for the use of chemotherapy and estimate prognosis in patients with either Ki-67 index < 5% or > 30%; however, lacunae still exists pertaining to its analytical validity. Neutrophilia is common in cancer with accompanying lymphocytopenia. Neutrophil to lymphocyte ratio (NLR) captures the intricate balance between pro-tumor neutrophilia and anti-tumor lymphocyte immunity. This study aimed to correlate cellular proliferation in breast cancer with NLR. METHODS An observational study was carried out including 73 cases of BC; pre-treatment NLR and Ki-67 grading were performed. NLR < 3 was considered low, while ≥ 3 was high. The Ki-67 expression was graded as low ≤ 5%, intermediate 6-29%, or high ≥ 30%. Various clinico-pathological variables were studied, and the association of categorical variables was analyzed using Pearson's chi-square test, and a p-value of < 0.05 was taken as significant. RESULTS Ki-67 correlated significantly with modified Scarff-Bloom-Richardson (SBR) grade (p < 0.01), and tumor-node-metastasis (TNM) stage (p < 0.001). Correlation of NLR was not significant with SBR grade (p > 0.05) and molecular subtype (p > 0.05); however, NLR was found to be significantly correlated with TNM stage (p < 0.001) and Ki-67 (p < 0.001). CONCLUSION NLR is fast emerging as a personalized theranostic marker in breast cancer. Instead of determining a generalized cut-off value, individual baseline NLR and its dynamics with disease progression will help manage patients better, obviating some of the drawbacks associated with Ki-67.
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Affiliation(s)
- Radhika Arora
- Department of Pathology, Jawaharlal Nehru Medical College, Aligarh Muslim University, Aligarh, 202002, U.P, India
| | - Feroz Alam
- Department of Pathology, Jawaharlal Nehru Medical College, Aligarh Muslim University, Aligarh, 202002, U.P, India.
| | - Atia Zaka-Ur-Rab
- Department of General Surgery, Jawaharlal Nehru Medical College, Aligarh Muslim University, Aligarh, India
| | - Veena Maheshwari
- Department of Pathology, Jawaharlal Nehru Medical College, Aligarh Muslim University, Aligarh, 202002, U.P, India
| | - Kiran Alam
- Department of Pathology, Jawaharlal Nehru Medical College, Aligarh Muslim University, Aligarh, 202002, U.P, India
| | - Mahboob Hasan
- Department of Pathology, Jawaharlal Nehru Medical College, Aligarh Muslim University, Aligarh, 202002, U.P, India
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Zhang X, Huang J, Tang M, Zhang Q, Deng L, Song C, Li W, Shi H, Cong M. A promising prognostic grading system incorporating weight loss and inflammation in patients with advanced cancer. J Cachexia Sarcopenia Muscle 2023; 14:2969-2980. [PMID: 37985353 PMCID: PMC10751406 DOI: 10.1002/jcsm.13376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 08/25/2023] [Accepted: 10/03/2023] [Indexed: 11/22/2023] Open
Abstract
BACKGROUND Involuntary weight loss and increased systemic response are frequently observed in patients with cancer, especially in advanced stages. This study aimed to develop a powerful weight loss and inflammation grading system (WLAIGS) and investigate its prognostic performance in patients with advanced cancer. METHODS This multicentre prospective cohort study included 11 423 patients with advanced cancer. A 4 × 4 matrix representing four different per cent weight loss (WL%) categories within each of the four different neutrophil-to-lymphocyte ratio (NLR) categories (16 possible combinations of WL% and NLR) was constructed. The WLAIGS consisted of four grades, with hazard ratios (HRs) for overall survival (OS) gradually increasing from grade 1 to grade 4. Survival analyses, including Kaplan-Meier curve, Cox proportional hazards regression, and sensitivity analysis, were performed to investigate the association between WLAIGS and OS. The secondary outcomes were short-term survival, malnutrition, and quality of life. Two internal validation cohorts with a 7:3 ratio were used to validate the results. RESULTS The median age of patients with advanced cancer in our study was 59.00 (interquartile range, 50.00-66.00) years. There were 6877 (60.2%) and 4546 (39.8%) male and female participants, respectively. We totally recorded 5046 death cases during the median follow-up of 17.33 months. The Kaplan-Meier curve showed that the survival rate decreased from grade 1 to grade 4 in patients with advanced cancer (log-rank P < 0.001). The WLAIGS was an independent risk factor associated with OS adjusting for confounders, with HRs increasing from 1.20 (95% confidence interval (CI), 1.11-1.29; P < 0.001) in grade 2, 1.48 (95% CI, 1.38-1.60; P < 0.001) in grade 3 to 1.73 (95% CI, 1.58-1.89; P < 0.001) in grade 4. In each weight loss% group (2.5 ≤ WL% < 6.0; 6.0 ≤ WL% < 11.0, WL% ≥ 11.0), a NLR above 3 was associated with shorter survival and served as an independent prognostic predictor. The risk of short-term mortality, malnutrition, and poor quality of life increased with WLAIGS grade. Two internal validation cohorts confirmed that the WLAIGS independently identified the survival of patients with advanced cancer. CONCLUSIONS The WLAIGS, which reflects malnutrition and systemic inflammation status, is a robust and convenient tool for predicting the prognosis of patients with advanced cancer.
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Affiliation(s)
- Xi Zhang
- Department of Comprehensive OncologyNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
- Key Laboratory of Cancer FSMP for State Market RegulationBeijingChina
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and NutritionBeijingChina
| | - Jia‐Xin Huang
- Department of Comprehensive OncologyNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
- Cancer Center of the First Hospital of Jilin UniversityChangchunChina
| | - Meng Tang
- Department of Comprehensive OncologyNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
- Key Laboratory of Cancer FSMP for State Market RegulationBeijingChina
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and NutritionBeijingChina
| | - Qi Zhang
- Key Laboratory of Cancer FSMP for State Market RegulationBeijingChina
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and NutritionBeijingChina
- Department of Gastrointestinal SurgeryZhejiang Cancer HospitalHangzhouChina
| | - Li Deng
- Key Laboratory of Cancer FSMP for State Market RegulationBeijingChina
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and NutritionBeijingChina
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan HospitalCapital Medical UniversityBeijingChina
| | - Chun‐Hua Song
- Department of Epidemiology, College of Public HealthZhengzhou UniversityZhengzhouChina
| | - Wei Li
- Department of Gastrointestinal SurgeryZhejiang Cancer HospitalHangzhouChina
| | - Han‐Ping Shi
- Key Laboratory of Cancer FSMP for State Market RegulationBeijingChina
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and NutritionBeijingChina
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan HospitalCapital Medical UniversityBeijingChina
| | - Ming‐Hua Cong
- Department of Comprehensive OncologyNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
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Shao B, Li H, Liu X, Song G, Jiang H, Yan Y, Zhang R, Ran R, Zhang J, Liu Y, Wang H, Wang J, Di L. The prognostic value of neutrophil-to-lymphocyte ratio in de novo stage IV breast cancer: a retrospective cohort study. ANNALS OF TRANSLATIONAL MEDICINE 2023; 11:45. [PMID: 36819544 PMCID: PMC9929800 DOI: 10.21037/atm-22-5612] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Accepted: 12/20/2022] [Indexed: 01/12/2023]
Abstract
Background The presence of a high neutrophil-to-lymphocyte ratio (NLR) has been associated with increased mortality in several malignancies. And the majority of studies on breast cancer (BC) analyzed patients with early-stage. Fewer studies focused on metastatic BC (MBC). De novo stage IV BC with no prior treatment is more suitable for analyzing prognostic factors. Herein, we examined the prognostic value of baseline NLR in de novo stage IV BC patients. Methods We retrospectively screened the medical records of female patients who were diagnosed with de novo stage IV BC at Peking University Cancer Hospital between January 2011 and December 2020. All patients were followed up by telephone every 6 months. Receiver operating characteristic (ROC) curve analysis was used to determine the optimal cutoff value of NLR for progression-free survival (PFS). Peripheral blood lymphocyte subsets and tumor infiltrating lymphocytes (TILs) were analyzed by flow cytometry and immunohistochemistry, respectively. Correlations of PFS and overall survival (OS) with NLR and other clinicopathological factors were evaluated using Kaplan-Meier method and Cox regression analyses. Results A total of 128 patients between January 2011 and December 2020 were enrolled. 70 (54.7%) cases were hormone receptor (HR)-positive/human epidermal growth factor receptor 2 (HER2)-negative, 79 (61.7%) patients had visceral metastasis and 67 (52.3%) patients had more than 2 metastatic sites. The cutoff values of NLR were 2.9, optimized by ROC curve analysis. Totals of 77 and 51 patients were assigned to the NLR-low (≤2.9) and NLR-high (>2.9) groups, respectively. Compared with NLR-high patients, the NLR-low patients had significantly longer median PFS (14.8 vs. 7.2 months; hazard ratio =1.791; P=0.003). The OS showed no significant difference (64.1 vs. 56.0 months, P=0.980). The patients with NLR-low had a higher level of peripheral CD3+ T cells (P=0.028) and a lower level of peripheral CD4+CD25+ regulatory T (Treg) cells (P=0.041). Patient samples with NLR-low also demonstrated higher levels of TILs than those with NLR-high (P=0.025). Conclusions The baseline NLR-high is associated with adverse PFS in patients with de novo stage IV BC. The NLR-high status may indicate immune suppression status, which can help identify patients with unfavorable prognosis and assist with physicians' treatment decision.
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Affiliation(s)
- Bin Shao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Breast Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Huiping Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Breast Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Xiaoran Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Breast Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Guohong Song
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Breast Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Hanfang Jiang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Breast Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Ying Yan
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Breast Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Ruyan Zhang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Breast Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Ran Ran
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Breast Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Jiayang Zhang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Breast Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Yaxin Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Breast Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Huan Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Breast Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Jing Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Breast Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Lijun Di
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Breast Oncology, Peking University Cancer Hospital & Institute, Beijing, China
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