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Liang H, Huang J, Li H, He W, Ao X, Xie Z, Chen Y, Lv Z, Zhang L, Zhong Y, Tan X, Han G, Zhou J, Qiu N, Jiang M, Xia H, Zhan Y, Jiao L, Ma J, Radisky D, Huang J, Zhang X. Spatial proximity of CD8 + T cells to tumor cells predicts neoadjuvant therapy efficacy in breast cancer. NPJ Breast Cancer 2025; 11:13. [PMID: 39929822 PMCID: PMC11811209 DOI: 10.1038/s41523-025-00728-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2024] [Accepted: 01/28/2025] [Indexed: 02/13/2025] Open
Abstract
The spatial proximity of CD8+ T cells to tumor cells critically influences the efficacy of neoadjuvant therapy (NAT) in breast cancer (BC). In this study, we evaluated whether the presence of CD8+ T cells and other immune cells near cancer cells predicts treatment outcomes across various BC subtypes. We analyzed pre- and post-NAT biopsies from 104 BC patients using multiplex immunofluorescence (mIF) and immunohistochemistry (IHC) to assess the distribution of immune markers, including CD8+ T cells, CD68+ macrophages, FoxP3+ regulatory T cells. Our findings revealed that a higher percentage of CD8+ T cells within 20 µm of cancer cells (N20-CD8+ T cells) was strongly correlated with improved pathological complete response (pCR), disease-free survival (DFS), and overall survival (OS), regardless of tumor subtype or NAT regimen. Moreover, a positive correlation between CXCL9 expression and N20-CD8+ T cells suggests that CXCL9 may facilitate the recruitment of CD8+ T cells to tumor cells. Our study emphasizes the link between immune cell composition and location, and patient outcomes with NAT. Focusing on the spatial dynamics of CD8+ T cells could significantly advance personalized treatment strategies and the development of targeted immunotherapies in BC.
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Grants
- The National Natural Science Foundation of China Program (No.82173202, X.Z.)
- Project Natural Science Foundation of Guangdong Province (No.2024A1515012833, HL Liang); Guangzhou S&T City and University United Project (No.2023A03J0430, HL Liang); Guangzhou S&T Project (No.202102080096, HL Liang); Guangdong Provincial Bureau of Education Project (No.2021KTSCX091, HL Liang); Guangzhou Health S&T Project (No.20191A011097, HL Liang).
- Project Natural Science Foundation of Guangdong Province (No.2022A1515012376, JQ Huang); Guangzhou S&T Project (201904010331, JQ Huang); Guangdong Provincial Bureau of Education Project (2020KTSCX105, JQ Huang).
- Plan on enhancing scientific research in GMU;Guangzhou Science and Technology Project (2024A03J0649, J Zhou).
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Affiliation(s)
- Hongling Liang
- Department of Breast Oncology, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, 510095, China
| | - Jianqing Huang
- Department of Breast Oncology, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, 510095, China
- School of Health Management, Guangzhou Medical University, Guangzhou, 511436, China
| | - Hongsheng Li
- Department of Breast Oncology, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, 510095, China
| | - Weixing He
- Department of Breast Oncology, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, 510095, China
| | - Xiang Ao
- Department of Breast Oncology, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, 510095, China
| | - Zhi Xie
- Medical Research Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
- Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), School of Medicine, South China University of Technology, Guangzhou, 510641, China
| | - Yu Chen
- Medical Research Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
- Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), School of Medicine, South China University of Technology, Guangzhou, 510641, China
| | - Zhiyi Lv
- Medical Research Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
| | - Leyao Zhang
- Department of Breast Oncology, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, 510095, China
| | - Yanhua Zhong
- Department of Breast Oncology, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, 510095, China
| | - Xiaojun Tan
- Department of Pathology, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, 510095, China
| | - Guodong Han
- Department of Breast Oncology, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, 510095, China
| | - Jie Zhou
- Department of Breast Oncology, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, 510095, China
| | - Ni Qiu
- Department of Breast Oncology, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, 510095, China
| | - Ming Jiang
- Department of Breast Oncology, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, 510095, China
| | - Haoming Xia
- Department of Breast Oncology, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, 510095, China
| | - Yongtao Zhan
- Department of Breast Oncology, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, 510095, China
| | - Lei Jiao
- Panovue Biological Technology Co., Ltd, Beijing, 100000, China
| | - Jie Ma
- Panovue Biological Technology Co., Ltd, Beijing, 100000, China
| | - Derek Radisky
- Department of Cancer Biology Mayo Clinic Cancer Center, Jacksonville, FL, 32224, USA.
| | - Jia Huang
- School of Health Management, Guangzhou Medical University, Guangzhou, 511436, China.
| | - Xuchao Zhang
- Medical Research Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China.
- Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), School of Medicine, South China University of Technology, Guangzhou, 510641, China.
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Zhu D, Lin YD, Yao YZ, Qi XJ, Qian K, Lin LZ. Negative association of C-reactive protein-albumin-lymphocyte index (CALLY index) with all-cause and cause-specific mortality in patients with cancer: results from NHANES 1999-2018. BMC Cancer 2024; 24:1499. [PMID: 39639229 PMCID: PMC11619214 DOI: 10.1186/s12885-024-13261-y] [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: 05/23/2024] [Accepted: 11/26/2024] [Indexed: 12/07/2024] Open
Abstract
BACKGROUND The CALLY index, which is derived from C-reactive protein (CRP) content, serum albumin level, and total lymphocyte count, reflects the immune, nutritional, and inflammatory status of the body. Lack of sufficient evidence on the correlation between the CALLY index and the prognosis of cancer patients with various cancer forms. This study seeks to elucidate the association between the CALLY index and mortality from all causes as well as specific causes in cancer patients within a U.S. POPULATION METHODS This investigation encompassed 3511 cancer-afflicted adults from the National Health and Nutritional Examination Surveys (NHANES) spanning 1999 to 2018. The CALLY index was measured at baseline only. The relationship between the CALLY index and mortality from both all causes and cancer specifically was examined using Cox proportional hazards models. Additionally, restricted cubic spline, piecewise linear regression, and various subgroup and sensitivity analyses were employed. RESULTS Over a median follow-up of 103 months, 1,355 deaths occurred, and the incidence of all-cause mortality for these participants was 38.34%. Our findings indicate that an elevated CALLY index correlates with a diminished risk of all-cause mortality. Upon applying a natural logarithmic transformation to the CALLY index, the comprehensively adjusted model revealed that each one-unit increment in ln CALLY corresponded to a 18% decrease in all-cause mortality risk among cancer patients (HR = 0.82, 95% CI:0.79-0.86). Analyses of mortality due to cardiac and cancer-related causes yielded consistent results, which were robust across various subgroup and sensitivity analyses. CONCLUSION The CALLY index demonstrated a linear and negative association with all-cause mortality, as well as mortality caused by cancer and cardiac conditions, highlighting its significant prognostic value in patients with oncological conditions.
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Affiliation(s)
- Di Zhu
- Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China
| | - Ye-Ding Lin
- Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China
| | - Yan-Zhu Yao
- Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China
| | - Xiang-Jun Qi
- Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China
| | - Kai Qian
- Shenzhen Bao'an Chinese Medicine Hospital, Shenzhen, Guangdong, China
| | - Li-Zhu Lin
- The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
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Zhang YY, Liu FH, Wang YL, Liu JX, Wu L, Qin Y, Zheng WR, Xing WY, Xu J, Chen X, Xu HL, Bao Q, Wang JY, Wang R, Chen XY, Wei YF, Zou BJ, Liu JC, Yin JL, Jia MQ, Gao S, Luan M, Wang HH, Gong TT, Wu QJ. Associations between peripheral whole blood cell counts derived indexes and cancer prognosis: An umbrella review of meta-analyses of cohort studies. Crit Rev Oncol Hematol 2024; 204:104525. [PMID: 39370059 DOI: 10.1016/j.critrevonc.2024.104525] [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: 07/22/2024] [Revised: 09/15/2024] [Accepted: 09/24/2024] [Indexed: 10/08/2024] Open
Abstract
Meta-analyses have reported conflicting data on the whole blood cell count (WBCC) derived indexes (neutrophil-to-lymphocyte ratio [NLR], platelet-to-lymphocyte ratio [PLR], and lymphocyte-to-monocyte ratio [LMR]) and cancer prognosis. However, the strength and quality of this evidence has not been quantified in aggregate. To grade the evidence from published meta-analyses of cohort studies that investigated the associations between NLR, PLR, and LMR and cancer prognosis. A total of 694 associations from 224 articles were included. And 219 (97.8%) articles rated as moderate-to-high quality according to AMSTAR. There were four associations supported by convincing evidence. Meanwhile, 165 and 164 associations were supported by highly suggestive and suggestive evidence, respectively. In this umbrella review, we summarized the existing evidence on the WBCC-derived indexes and cancer prognosis. Due to the direction of effect sizes is not completely consistent between studies, further research is needed to assess causality and provide firm evidence.
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Affiliation(s)
- Ying-Ying Zhang
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Fang-Hua Liu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Ya-Li Wang
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Department of Information Center, The Fourth Affiliated Hospital of China Medical University, Shenyang, China
| | - Jia-Xin Liu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Lang Wu
- Cancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI, USA
| | - Ying Qin
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Wen-Rui Zheng
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Wei-Yi Xing
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Jin Xu
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Xing Chen
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - He-Li Xu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Qi Bao
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Jia-Yi Wang
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Ran Wang
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Xi-Yang Chen
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Yi-Fan Wei
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Bing-Jie Zou
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Jia-Cheng Liu
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Jia-Li Yin
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Ming-Qian Jia
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Song Gao
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Meng Luan
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
| | - Hui-Han Wang
- Department of Hematology, Shengjing Hospital of China Medical University, Shenyang, China.
| | - Ting-Ting Gong
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
| | - Qi-Jun Wu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China; Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China; NHC Key Laboratory of Advanced Reproductive Medicine and Fertility (China Medical University), National Health Commission, Shenyang, China.
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4
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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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Yang Z, Zhang Y, Song M, Huang X, Lin Y, Yang H. The interaction between systemic inflammatory markers and polygenic risk score in breast cancer risk: A cohort study in the UK Biobank. Cancer Epidemiol 2023; 87:102490. [PMID: 37976632 DOI: 10.1016/j.canep.2023.102490] [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: 09/09/2023] [Revised: 10/30/2023] [Accepted: 11/06/2023] [Indexed: 11/19/2023]
Abstract
BACKGROUND Systemic inflammatory markers have been widely used in cancer prognosis prediction recently. However, there is limited knowledge regarding their impact on breast cancer risk and their interaction with polygenic risk scores. METHODS A cohort study of 202,403 female participants from the UK Biobank were analyzed to estimate the hazard ratio (HR) for the incidence and mortality of breast cancer based on inflammatory markers using Cox regression models. Additionally, we stratified the analysis by polygenic risk scores (PRS) for breast cancer, and examined the interaction between these markers and PRS through likelihood ratio tests and relative excess risk due to interaction (RERI). RESULTS Women in the highest tertile of neutrophil-to-lymphocyte ratio (NLR), systemic immune-inflammation index (SII), and C-reactive protein (CRP) showed an increased risk of breast cancer [HR (95 %CI) = 1.10 (1.02-1.18), 1.09 (1.01-1.17) and 1.15 (1.05-1.25), respectively], as compared to those in the lowest tertile. Regarding breast cancer mortality, only NLR and CRP exhibited consistent results in the univariate model [HR (95 %CI) = 1.25 (0.99-1.58) and 1.39 (1.10-1.77), respectively]. When stratified by PRS, stronger associations between inflammatory markers and breast cancer risk were observed in the high PRS group. Furthermore, there was a significant additive interaction between CRP and PRS [RERI (95 % CI) = 0.30 (0.06-0.53)]. CONCLUSION NLR and CRP are associated with breast cancer risk and mortality, and the effect of CRP is influenced by PRS. Systematic inflammatory markers, together with PRS, might be applied in combined screening for breast cancer.
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Affiliation(s)
- Zixuan Yang
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou 350122 China
| | - Yanyu Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou 350122 China
| | - Mengjie Song
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou 350122 China
| | - Xiaoxi Huang
- Department of Breast, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, Fuzhou 350001, China
| | - Yuxiang Lin
- Department of Breast Surgery, Fujian Medical University Union Hospital, Fuzhou 350001, China; Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou 350001, China; Breast Cancer Institute, Fujian Medical University, Fuzhou 350001, China.
| | - Haomin Yang
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou 350122 China; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm 17177 Sweden.
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Zhou Y, Guo X, Shen L, Liu K, Sun Q, Wang Y, Wang H, Fu W, Yao Y, Wu S, Chen H, Qiu J, Pan T, Deng Y. Predictive Significance of Systemic Immune-Inflammation Index in Patients with Breast Cancer: A Retrospective Cohort Study. Onco Targets Ther 2023; 16:939-960. [PMID: 38021447 PMCID: PMC10658965 DOI: 10.2147/ott.s434193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2023] [Accepted: 11/09/2023] [Indexed: 12/01/2023] Open
Abstract
Background Peripheral blood inflammation indices, including the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII), have become research hotspots in the diagnosis, treatment, and prognosis prediction of breast cancer, whereas existing research findings remain controversial. Methods Data pertaining to 1808 breast cancer patients were collected retrospectively to analyze the predictive value of NLR/PLR/SII for breast cancer clinicopathological characteristics, chemotherapy response, and relapse. 1489, 258, and 53 eligible breast cancer patients entered into the three analyses, respectively. Logistic regression analyses were used to assess the correlation between these indices and poor response to chemotherapy. A predictive scoring model was established to predict chemotherapeutic responses based upon the odds ratio values of significant variables identified in logistic regression analyses. Results Higher pretherapeutic NLR/PLR/SII values were significantly correlated with higher tumor stage, triple-negative breast cancer, premenopausal status, and younger age. Logistic regression analyses indicated that pretherapeutic high SII (as a continuous variable or with a cut-off value of 586.40) and HER2-negative status were independent predictors of poor response to neoadjuvant chemotherapy. A first-in-class SII-based predictive scoring model well distinguished patients who might not benefit from neoadjuvant chemotherapy, with an area under the curve of 0.751. In HR-positive cancers, SII was more strongly associated with clinicopathological features and chemotherapy response. In addition, a receiver operating characteristic curve analysis indicated that the specificity of follow-up SII in identifying cancer relapse was greater than 98.0% at a cut-off value of 900. Conclusion As a predictor of breast cancer, especially in the HR-positive subtype, SII may eclipse NLR/PLR. SII-high patients are more likely to have a worse chemotherapy response and a higher risk of recurrence.
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Affiliation(s)
- Yunxiang Zhou
- Department of Breast Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
- Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education), The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
| | - Xianan Guo
- Department of Breast Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
- Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education), The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
| | - Lu Shen
- Department of Breast Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
- Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education), The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
| | - Kexin Liu
- Department of Breast Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
- Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education), The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
| | - Qunan Sun
- Department of Medical Oncology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, People’s Republic of China
| | - Yali Wang
- Department of Breast Surgery, Fujian Medical University Union Hospital, Fuzhou, People’s Republic of China
| | - Hui Wang
- Department of Pathology, Cancer Hospital of the University of Chinese Academy of Science (Zhejiang Cancer Hospital), Hangzhou, People’s Republic of China
| | - Wenyu Fu
- Department of Surgery, Hangzhou Fuyang Hospital of Traditional Chinese Medicine, Hangzhou, People’s Republic of China
| | - Yihan Yao
- Institute of Immunology, School of Medicine, Zhejiang University, Hangzhou, People’s Republic of China
| | - Shijie Wu
- Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education), The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
| | - Huihui Chen
- Department of Breast Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
| | - Jili Qiu
- Department of Breast Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
| | - Tao Pan
- Department of Breast Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
| | - Yongchuan Deng
- Department of Breast Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
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Liu Y, Sheng L, Hua H, Zhou J, Zhao Y, Wang B. A Novel and Validated Inflammation-Based Prognosis Score (IBPS) Predicts Outcomes in Patients with Diffuse Large B-Cell Lymphoma. Cancer Manag Res 2023; 15:651-666. [PMID: 37465083 PMCID: PMC10351597 DOI: 10.2147/cmar.s408100] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Accepted: 06/24/2023] [Indexed: 07/20/2023] Open
Abstract
Purpose We aimed to create a novel prognostic score, the inflammation-based prognosis score (IBPS). In addition, we attempted to establish and validate a nomogram to predict the overall survival (OS) of patients with DLBCL. Patients and Methods We retrospectively investigated the data of 213 patients with DLBCL diagnosed and treated in the Affiliated Hospital of Jiangnan University and used these data to develop nomograms. At the same time, 89 patients diagnosed and treated in Wuxi People's Hospital Affiliated with Nanjing Medical University from January 2015 to June 2021 were collected as an external validation cohort. We developed IBPS through the least absolute shrinkage and selection operator (LASSO) Cox regression. The univariate and multivariate Cox regression method was used to develop the nomogram. We used the concordance index (C-index), calibration chart, time-dependent receiver operating characteristic (ROC) analysis, decision curve analysis (DCA), and the Kaplan-Meier curve were used to assess the nomogram. Results The systemic immune inflammation index (SII), prognostic nutrition index (PNI), and modified Glasgow prognostic score (mGPS) were used to construct IBPS. The Eastern Cooperative Oncology Group performance status (ECOG PS), IBPS, response to treatment, and whether accept surgery were used to construct the nomogram to predict the OS of DLBCL patients. The C-index in the training and validation cohorts were 0.844 and 0.828, respectively. According to the time-dependent ROC curve and DCA, the nomogram has good predictive accuracy and clinical net benefit. The Kaplan-Meier curve showed that according to the nomogram score, patients in the training and validation cohorts could be classified into three risk groups. Conclusion In patients with DLBCL, baseline IBPS was a reliable predictor of OS. The survival probability of DLBCL patients can be precisely predicted using the prognosis nomogram based on IBPS.
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Affiliation(s)
- Yajiao Liu
- Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu Province, 214000, People’s Republic of China
| | - Li Sheng
- Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu Province, 214000, People’s Republic of China
| | - Haiying Hua
- Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu Province, 214000, People’s Republic of China
- Department of Hematology, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu Province, 214000, People’s Republic of China
| | - Jingfen Zhou
- Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu Province, 214000, People’s Republic of China
- Department of Hematology, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu Province, 214000, People’s Republic of China
| | - Ying Zhao
- Department of Hematology, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu Province, 214000, People’s Republic of China
| | - Bei Wang
- Institute of Integration of Traditional Chinese and Western Medicine, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu Province, People’s Republic of China
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8
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Masuda T, Ueo H, Okumura Y, Kai Y, Ando Y, Masuguchi K, Kitagawa M, Kitagawa A, Hayashi N, Tsuruda Y, Hisamatsu Y, Suehiro S, Ohmura H, Fujiyoshi K, Tanaka F, Mimori K. Dynamic Changes in Peripheral Systemic Immunity Markers During Chemotherapy in HER2-negative Advanced Breast Cancer. Cancer Genomics Proteomics 2023; 20:182-194. [PMID: 36870689 PMCID: PMC9989675 DOI: 10.21873/cgp.20373] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Revised: 12/15/2022] [Accepted: 12/19/2022] [Indexed: 03/06/2023] Open
Abstract
BACKGROUND/AIM The immune system has a pivotal role in modulating the response to chemotherapy in breast cancer (BC). However, the immune status during chemotherapy remains unclear. We evaluated the sequential changes in peripheral systemic immunity markers in BC patients treated with various chemotherapeutic agents. MATERIALS AND METHODS We examined the correlation between the peripheral systemic immunity markers, neutrophil-to-lymphocyte ratio (NLR), absolute lymphocyte count (ALC) and the local cytolytic activity (CYT) score obtained by quantitative reverse-transcription polymerase chain reaction of 84 preoperative BC patients. Next, we observed the sequential changes in the peripheral systemic immunity markers during treatment with four anticancer drugs: oral 5-fluorouracil derivative; S-1, epirubicin plus cyclophosphamide; paclitaxel plus the anti-vascular endothelial growth factor antibody bevacizumab, and eribulin in 172 HER2-negative advanced BC patients. Finally, we examined the correlation between the changes in the peripheral systemic immunity markers, time to treatment failure (TTF) and progression-free survival (PFS). RESULTS A negative correlation was found between ALC and NLR. ALC-low and NLR-high cases were positively associated with CYT score-low cases. The ratio of ALC-increase and NLR-decrease varies depending on the anticancer drugs used. The responder group (TTF ≥3 months) had a higher NLR-decrease ratio than the nonresponder group (TTF <3 months). Patients with a high NLR-decrease ratio showed higher PFS. CONCLUSION The change in ALC or NLR varies according to the anticancer drugs, suggesting differential immunomodulatory effects of the drugs. Furthermore, the change in NLR reflects the therapeutic efficacy of chemotherapy in advanced BC.
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Affiliation(s)
- Takaaki Masuda
- Department of Surgery, Kyushu University Beppu Hospital, Oita, Japan
| | | | - Yuta Okumura
- Department of Internal Medicine, Kyushu University Beppu Hospital, Oita, Japan
| | | | - Yuki Ando
- Department of Surgery, Kyushu University Beppu Hospital, Oita, Japan
| | - Ken Masuguchi
- Department of Pharmacy, Kyushu University Beppu Hospital, Oita, Japan
| | - Miwa Kitagawa
- Department of Surgery, Kyushu University Beppu Hospital, Oita, Japan.,Department of Breast Surgery, Medical Corporation Kyoujinkai Komatsu Hospital, Osaka, Japan
| | - Akihiro Kitagawa
- Department of Surgery, Kyushu University Beppu Hospital, Oita, Japan.,Department of Surgery, Sakai City Medical Center, Osaka, Japan
| | - Naoki Hayashi
- Department of Surgery, Kyushu University Beppu Hospital, Oita, Japan
| | - Yusuke Tsuruda
- Department of Surgery, Kyushu University Beppu Hospital, Oita, Japan
| | - Yuichi Hisamatsu
- Department of Surgery, Kyushu University Beppu Hospital, Oita, Japan
| | - Shuji Suehiro
- Department of Breast Surgery, Tsurumi Hospital, Oita, Japan
| | - Hirofumi Ohmura
- Department of Internal Medicine, Kyushu University Beppu Hospital, Oita, Japan
| | | | - Fumiaki Tanaka
- Department of Surgery, Kyushu University Beppu Hospital, Oita, Japan.,Tanaka Breast, Surgery, Internal Medicine Clinic, Oita, Japan
| | - Koshi Mimori
- Department of Surgery, Kyushu University Beppu Hospital, Oita, Japan;
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9
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Liu Y, Sheng L, Hua H, Zhou J, Zhao Y, Wang B. An Externally Validated Nomogram for Predicting the Overall Survival of Patients With Diffuse Large B-Cell Lymphoma Based on Clinical Characteristics and Systemic Inflammatory Markers. Technol Cancer Res Treat 2023; 22:15330338231180785. [PMID: 37551117 PMCID: PMC10408319 DOI: 10.1177/15330338231180785] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/09/2023] Open
Abstract
Background: Systemic inflammatory indicators are clinically significant in guiding diffuse large B-cell lymphoma (DLBCL) prognosis. However, which inflammatory markers are the best predictors of DLBCL prognosis is still unclear. In this study, we aimed to create a nomogram based on the best inflammatory markers and clinical indicators to predict the overall survival of patients with DLBCL. Patients and methods: We analyzed data from 423 DLBCL patients from two institutions and divided them into a training set, an internal validation set, and an external validation set (n = 228, 97, and 98, respectively). The least absolute shrinkage and selection operator and Cox regression analysis were used to develop nomograms. We assessed model fit using the Akaike information criterion and Bayesian information criterion. The concordance index (C-index), calibration curve, receiver operating characteristic (ROC) curve, and decision curve analysis (DCA) were used to assess the nomogram's predictive performance and clinical net benefit and compared with the International Prognostic Index (IPI) and National Comprehensive Cancer Network (NCCN)-IPI. Results: The inclusion variables for the nomogram model were age, Eastern Cooperative Oncology Group performance status, lactate dehydrogenase level, the systemic immune-inflammation index (SII), the prognostic nutritional index (PNI), and β-2 microglobulin (β-2 MG) level. In the training cohort, the nomogram showed better goodness of fit than the IPI and NCCN-IPI. The C-index of the nomogram (0.804, 95% CI: 0.751-0.857) outperformed the IPI (0.690, 95% CI: 0.629-0.751) and NCCN-IPI (0.691, 95% CI: 0.632-0.750). The calibration curve, ROC curve, and DCA curve analysis showed that the nomogram has satisfactory predictive power and clinical utility. Similar results were found in the validation cohort. Conclusion: The nomogram integrated with the clinical characteristics and inflammatory markers is beneficial to predict the prognosis of patients with DLBCL.
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Affiliation(s)
- Yajiao Liu
- Wuxi School of Medicine, Jiangnan University, Wuxi, China
| | - Li Sheng
- Wuxi School of Medicine, Jiangnan University, Wuxi, China
| | - Haiying Hua
- Wuxi School of Medicine, Jiangnan University, Wuxi, China
- Department of Hematology, Affiliated Hospital of Jiangnan University, Wuxi, China
| | - Jingfen Zhou
- Wuxi School of Medicine, Jiangnan University, Wuxi, China
- Department of Hematology, Affiliated Hospital of Jiangnan University, Wuxi, China
| | - Ying Zhao
- Department of Hematology, Affiliated Hospital of Jiangnan University, Wuxi, China
| | - Bei Wang
- Institute of Integration of Traditional Chinese and Western Medicine, Affiliated Hospital of Jiangnan University, Wuxi, China
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10
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Bae SJ, Ahn SG, Ji JH, Chu CH, Kim D, Lee J, Park S, Cha C, Jeong J. Prognostic Value of Neutrophil-to-Lymphocyte Ratio and Early Standardized Uptake Value Reduction in Patients With Breast Cancer Receiving Neoadjuvant Chemotherapy. J Breast Cancer 2022; 25:485-499. [PMID: 36479600 PMCID: PMC9807322 DOI: 10.4048/jbc.2022.25.e44] [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: 02/26/2022] [Revised: 07/13/2022] [Accepted: 09/22/2022] [Indexed: 11/07/2022] Open
Abstract
PURPOSE We investigated the treatment response and prognosis using the neutrophil-to-lymphocyte ratio (NLR) and standardized uptake value (SUV) of 18F-fluorodeoxyglucose positron emission tomography (18F-FDG PET) in neoadjuvant settings. METHODS Baseline NLR and maximum SUV (SUVmax) were retrospectively analyzed in 273 females with breast cancer who received neoadjuvant chemotherapy followed by surgery. Of these, 101 patients underwent 18F-FDG PET after 3-4 neoadjuvant chemotherapy cycles, which allowed the measurement of ΔSUVmax, an early reduction in SUVmax. NLR and early SUVmax reduction (ΔSUVmax) were classified as low and high, respectively, relative to the median values. RESULTS The mean NLR was lower, and the mean ΔSUVmax was higher in patients with pathologic complete response (pCR) than in those with residual tumors. The ΔSUVmax was an independent variable associated with pCR. Furthermore, the high NLR group had poor recurrence-free survival (RFS) and overall survival. Among patients with ΔSUVmax data, high NLR (adjusted hazard ratio, 2.82; 95% confidence intervals [CI], 1.26-6.28; P = 0.016) and low ΔSUVmax (adjusted hazard ratio, 2.39; 95% CI, 1.07-5.34; P = 0.037) were independent prognostic factors for poor RFS. The categorization of the patients into four groups according to the combination of NLR and ΔSUVmax showed that patients with high NLR and low ΔSUVmax had significantly poorer RFS. CONCLUSION Baseline NLR and ΔSUVmax were significantly associated with the prognosis of patients with breast cancer who received neoadjuvant chemotherapy. These results suggest that metabolic non-responders with defective immune systems have worse survival outcomes.
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Affiliation(s)
- Soong June Bae
- Department of Surgery, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.,Institute for Breast Cancer Precision Medicine, Yonsei University College of Medicine, Seoul, Korea
| | - Sung Gwe Ahn
- Department of Surgery, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.,Institute for Breast Cancer Precision Medicine, Yonsei University College of Medicine, Seoul, Korea
| | - Jung Hwan Ji
- Department of Surgery, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.,Institute for Breast Cancer Precision Medicine, Yonsei University College of Medicine, Seoul, Korea
| | - Chih Hao Chu
- Department of Surgery, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.,Institute for Breast Cancer Precision Medicine, Yonsei University College of Medicine, Seoul, Korea
| | - Dooreh Kim
- Department of Surgery, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Janghee Lee
- Department of Surgery, Sacred Heart Hospital, Hallym University, Dongtan, Korea
| | - Soeun Park
- Department of Surgery, CHA Ilsan Medical Center, CHA University, Goyang, Korea
| | - Chihwan Cha
- Department of Surgery, Hanyang University College of Medicine, Seoul, Korea
| | - Joon Jeong
- Department of Surgery, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.,Institute for Breast Cancer Precision Medicine, Yonsei University College of Medicine, Seoul, Korea
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11
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High Neutrophil-to-Lymphocyte Ratio Facilitates Cancer Growth-Currently Marketed Drugs Tadalafil, Isotretinoin, Colchicine, and Omega-3 to Reduce It: The TICO Regimen. Cancers (Basel) 2022; 14:cancers14194965. [PMID: 36230888 PMCID: PMC9564173 DOI: 10.3390/cancers14194965] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 10/03/2022] [Accepted: 10/03/2022] [Indexed: 11/22/2022] Open
Abstract
Simple Summary Several elements that are composed of, or related to, neutrophils, have been shown to inhibit strong immune responses to cancer and promote cancers’ growth. This paper presents the collected data showing these elements and how their coordinated actions as an ensemble facilitate growth in the common cancers. The paper goes on to present a drug regimen, TICO, designed to reduce the cancer growth enhancing effects of the neutrophil related elements. TICO uses four already marketed, readily available generic drugs, repurposed to inhibit neutrophil centered growth facilitation of cancer. Abstract This paper presents remarkably uniform data showing that higher NLR is a robust prognostic indicator of shorter overall survival across the common metastatic cancers. Myeloid derived suppressor cells, the NLRP3 inflammasome, neutrophil extracellular traps, and absolute neutrophil count tend to all be directly related to the NLR. They, individually and as an ensemble, contribute to cancer growth and metastasis. The multidrug regimen presented in this paper, TICO, was designed to decrease the NLR with potential to also reduce the other neutrophil related elements favoring malignant growth. TICO is comprised of already marketed generic drugs: the phosphodiesterase 5 inhibitor tadalafil, used to treat inadequate erections; isotretinoin, the retinoid used for acne treatment; colchicine, a standard gout (podagra) treatment; and the common fish oil supplement omega-3 polyunsaturated fatty acids. These individually impose low side effect burdens. The drugs of TICO are old, cheap, well known, and available worldwide. They all have evidence of lowering the NLR or the growth contributing elements related to the NLR when clinically used in general medicine as reviewed in this paper.
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12
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Wall I, Boulat V, Shah A, Blenman KRM, Wu Y, Alberts E, Calado DP, Salgado R, Grigoriadis A. Leveraging the Dynamic Immune Environment Triad in Patients with Breast Cancer: Tumour, Lymph Node, and Peripheral Blood. Cancers (Basel) 2022; 14:4505. [PMID: 36139665 PMCID: PMC9496983 DOI: 10.3390/cancers14184505] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 09/09/2022] [Accepted: 09/12/2022] [Indexed: 11/29/2022] Open
Abstract
During the anti-tumour response to breast cancer, the primary tumour, the peripheral blood, and the lymph nodes each play unique roles. Immunological features at each site reveal evidence of continuous immune cross-talk between them before, during and after treatment. As such, immune responses to breast cancer are found to be highly dynamic and truly systemic, integrating three distinct immune sites, complex cell-migration highways, as well as the temporal dimension of disease progression and treatment. In this review, we provide a connective summary of the dynamic immune environment triad of breast cancer. It is critical that future studies seek to establish dynamic immune profiles, constituting multiple sites, that capture the systemic immune response to breast cancer and define patient-selection parameters resulting in more significant overall responses and survival rates for breast cancer patients.
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Affiliation(s)
- Isobelle Wall
- Cancer Bioinformatics, School of Cancer & Pharmaceutical Sciences, King’s College London, Guy’s Hospital, London SE1 9RT, UK
| | - Victoire Boulat
- Cancer Bioinformatics, School of Cancer & Pharmaceutical Sciences, King’s College London, Guy’s Hospital, London SE1 9RT, UK
- Immunity and Cancer Laboratory, The Francis Crick Institute, London NW1 1AT, UK
| | - Aekta Shah
- Cancer Bioinformatics, School of Cancer & Pharmaceutical Sciences, King’s College London, Guy’s Hospital, London SE1 9RT, UK
- Department of Pathology, Tata Memorial Centre, Homi Bhabha National Institute, Mumbai 400012, India
| | - Kim R. M. Blenman
- Department of Internal Medicine, Section of Medical Oncology, Yale School of Medicine, Yale University, New Haven, CT 06510, USA
- Department of Computer Science, School of Engineering and Applied Science, Yale University, New Haven, CT 06511, USA
| | - Yin Wu
- Breast Cancer Now Research Unit, School of Cancer & Pharmaceutical Sciences, King’s College London, Guy’s Hospital, London SE1 9RT, UK
- Peter Gorer Department of Immunobiology, School of Immunology & Microbial Sciences, King’s College London, London SE1 9RT, UK
- Centre for Inflammation Biology and Cancer Immunology, School of Immunology & Microbial Sciences, King’s College London, London SE1 9RT, UK
| | - Elena Alberts
- Cancer Bioinformatics, School of Cancer & Pharmaceutical Sciences, King’s College London, Guy’s Hospital, London SE1 9RT, UK
- Immunity and Cancer Laboratory, The Francis Crick Institute, London NW1 1AT, UK
| | - Dinis Pedro Calado
- Immunity and Cancer Laboratory, The Francis Crick Institute, London NW1 1AT, UK
| | - Roberto Salgado
- Department of Pathology, GZA-ZNA Hospitals, 2610 Antwerp, Belgium
- Division of Research, Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia
| | - Anita Grigoriadis
- Cancer Bioinformatics, School of Cancer & Pharmaceutical Sciences, King’s College London, Guy’s Hospital, London SE1 9RT, UK
- Breast Cancer Now Research Unit, School of Cancer & Pharmaceutical Sciences, King’s College London, Guy’s Hospital, London SE1 9RT, UK
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13
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Xu F, Cao L, Xu C, Cai G, Cai R, Qi W, Wang S, Shen K, Chai W, Chen J. A Novel Nomogram for Predicting Prognosis and Tailoring Local Therapy Decision for Ductal Carcinoma In Situ after Breast Conserving Surgery. J Clin Med 2022; 11:jcm11175188. [PMID: 36079116 PMCID: PMC9456583 DOI: 10.3390/jcm11175188] [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: 06/20/2022] [Revised: 08/13/2022] [Accepted: 08/31/2022] [Indexed: 11/29/2022] Open
Abstract
Purpose: We sought to explore the role of nomogram-combined biomarkers, mammographic microcalcification and inflammatory hematologic markers in guiding local therapy decisions in ductal carcinoma in situ (DCIS) subgroups with different ipsilateral breast tumour recurrence (IBTR) risk. Methods: Between January 2009 and December 2018, consecutive patients with DCIS and breast conserving surgery (BCS) were enrolled and randomly assigned to a training cohort (n = 181) and internally validation cohort (n = 78). Multivariate analyses were performed to identify predictors of IBTR. Model performance was evaluated by the concordance index (C-index) and calibration plot. The time-to-event curves were calculated by the Kaplan−Meier methods and compared by the log-rank test. Results: In total, 259 patients were enrolled and 182 of them received whole breast irradiation (WBI). After a median follow-up of 51.02 months, 23 IBTR events occurred in the whole cohort. By multivariate analyses of training cohort, presence of microinvasion, Ki67 index >14%, mammographic-clustered fine linear microcalcifications and neutrophil/lymphocyte ratio before BCS (preop-NLR), >1.1 remained independent risk factors of IBTR to develop a nomogram. The C-indexes of the nomogram were 0.87 and 0.86 in the training and internal validation set, respectively. Calibration plots illustrated good agreement between the predictions and actual observations for 5-year IBTR. Cut-off values of nomogram point were identified as 53 and 115 points, which divided all patients into low-, intermediate- and high-risk groups. Significant differences in IBTR existed between low-, intermediate- and high-risk subgroups (p < 0.01). For the whole cohort and ER-positive tumours, the benefit of WBI was found only in the intermediate-risk subgroup, but not in those with low or high risk. Fourteen out of 23 IBTRs occurred outside the original quadrant and all occurred in the high-risk group. Conclusions: The novel nomogram demonstrated potential to separate the risk of IBTR and locations of IBTR. For the whole cohort and ER-positive tumours, the benefit of WBI was restricted to an intermediate-risk subgroup.
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Affiliation(s)
- Feifei Xu
- Department of Radiation Oncology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 20025, China
| | - Lu Cao
- Department of Radiation Oncology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 20025, China
| | - Cheng Xu
- Department of Radiation Oncology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 20025, China
| | - Gang Cai
- Department of Radiation Oncology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 20025, China
| | - Rong Cai
- Department of Radiation Oncology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 20025, China
| | - Weixiang Qi
- Department of Radiation Oncology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 20025, China
| | - Shubei Wang
- Department of Radiation Oncology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 20025, China
| | - Kunwei Shen
- Comprehensive Breast Health Center, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 20025, China
| | - Weimin Chai
- Department of Radiology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 20025, China
| | - Jiayi Chen
- Department of Radiation Oncology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 20025, China
- Correspondence: ; Tel.: +86-021-64370045; Fax: +86-021-64156886
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14
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Qi C, Zhou Y, Hu Z, Niu H, Yue F, An H, Chen Z, Wang P, Wang L, Duan G. The prognostic value of the advanced lung cancer inflammation index (ALI) for patients with neuroblastoma. J Int Med Res 2022; 50:3000605221109382. [PMID: 35770522 PMCID: PMC9251981 DOI: 10.1177/03000605221109382] [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] [Indexed: 11/17/2022] Open
Abstract
Objective The advanced lung cancer inflammation index (ALI) can predict the survival of patients with lung cancer and other malignancies. However, the prognostic significance of ALI in neuroblastoma has not been reported. This study aimed to evaluate the correlation between ALI and neuroblastoma patient prognosis. Methods We retrospectively analyzed the data of 72 neuroblastoma patients treated between January 2014 and August 2020. ALI calculation: Body mass index (BMI) × serum albumin (ALB)/neutrophil-to-lymphocyte ratio (NLR). The optimal cutoff points of prognostic biomarkers were determined by generating receiver operating characteristic (ROC) curves. According to the cutoff value, the patients were categorized into low or high ALI groups. The chi-square test was used to compare clinical parameters between the two groups. Potential prognostic factors associated with overall survival (OS) were assessed using Kaplan–Meier and Cox regression analyses. Results The optimal cutoff value of ALI was 49.17. The low ALI group showed more severe clinical characteristics and poorer survival rates. Univariate and multivariate Cox analyses suggested that ALI and the International Neuroblastoma Staging System (INSS) stage were independent prognostic factors for neuroblastoma patients. Conclusions Low ALI is associated with poor prognosis in neuroblastoma patients. ALI may be an independent prognostic biomarker for neuroblastoma.
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Affiliation(s)
- Can Qi
- Study Office of Pediatric and Thoracic Surgery, Hebei Medical University, Shijiazhuang, People's Republic of China.,Department of Pediatric Surgery, Children's Hospital of Hebei Province, Shijiazhuang, People's Republic of China
| | - Yun Zhou
- Department of Pediatric Surgery, Children's Hospital of Hebei Province, Shijiazhuang, People's Republic of China
| | - Zhonghui Hu
- Department of Thoracic Surgery, Hebei General Hospital, Shijiazhuang, People's Republic of China
| | - Huizhong Niu
- Department of Pediatric Surgery, Children's Hospital of Hebei Province, Shijiazhuang, People's Republic of China
| | - Fang Yue
- Department of Pediatric Surgery, Children's Hospital of Hebei Province, Shijiazhuang, People's Republic of China
| | - Huibo An
- Department of Pathology, Children's Hospital of Hebei Province, Shijiazhuang, People's Republic of China
| | - Zhiguo Chen
- Department of Pediatric Surgery, Children's Hospital of Hebei Province, Shijiazhuang, People's Republic of China
| | - Ping Wang
- Department of Pediatric Surgery, Children's Hospital of Hebei Province, Shijiazhuang, People's Republic of China
| | - Le Wang
- Children's Disease and Health Research Center of Hebei Province, Shijiazhuang, People's Republic of China
| | - Guochen Duan
- Study Office of Pediatric and Thoracic Surgery, Hebei Medical University, Shijiazhuang, People's Republic of China.,Department of Pediatric Surgery, Children's Hospital of Hebei Province, Shijiazhuang, People's Republic of China.,Children's Disease and Health Research Center of Hebei Province, Shijiazhuang, People's Republic of China
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15
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Han R, Tian Z, Jiang Y, Guan G, Sun X, Yu Y, Zhang L, Zhou J, Jing X. Prognostic significance of systemic immune-inflammation index and platelet-albumin-bilirubin grade in patients with pancreatic cancer undergoing radical surgery. Gland Surg 2022; 11:576-587. [PMID: 35402206 PMCID: PMC8984986 DOI: 10.21037/gs-22-117] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Accepted: 03/14/2022] [Indexed: 09/10/2023]
Abstract
BACKGROUND Systemic inflammatory markers are associated with patient survival in pancreatic cancer (PC). The aim of this study was to investigate the prognostic significance of the systemic immune-inflammation index (SII) in PC patients who underwent radical surgery. Platelet-albumin-bilirubin (PALBI) grade is a composite evaluation index based on liver function. Patients with pancreatic head cancer are prone to obstructive jaundice, which leads to abnormal liver function. Based on this, we also explored the prognostic value of PALBI grade in PC patients. METHODS Patients with pathologically confirmed PC who had undergone radical surgery (with negative surgical margin) for the first time at the Affiliated Hospital of Qingdao University from January 2013 to December 2019 and followed up by December 2020 were retrospectively analyzed. Peripheral blood cell count is easily affected by infection or hematological diseases, which affects the results, so it is excluded. Clinical data and laboratory examination indexes were collected. The SII and PALBI grade were calculated. The cutoff values were determined using the Youden index. The Cox proportional hazards regression model was used to analyze the prognostic value of the SII and PALBI grade through univariate and multivariate survival analysis. RESULTS A total of 214 patients [median age, 60.29 years; 128 (59.8%) men] met the inclusion criteria. There were 140 patients (65.4%) with pancreatic head cancer according to the tumor location. They were divided into high and low SII or PALBI groups by cutoff values of 705 and -5.6, respectively. According to the multivariate analysis, SII (P<0.001) was an independent factor negatively associated with overall survival (OS) and disease-free survival (DFS). In patients with pancreatic head cancer, PALBI grade was associated with shorter OS (P=0.031). The combination of high SII and high PALBI grade had stronger predictive value for poor prognosis (log-rank test, P<0.001), which the OS was 11.3 months less than the combination of low two groups. CONCLUSIONS SII was a promising prognostic biomarker in PC. And PALBI grade also showed predictive value for patients with pancreatic head cancer. Therefore, it can help predict the treatment outcomes in these patients.
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Affiliation(s)
- Rongshuang Han
- Department of Gastroenterology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Zibin Tian
- Department of Gastroenterology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Yueping Jiang
- Department of Gastroenterology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Ge Guan
- Department of Liver Disease Center, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Xueguo Sun
- Department of Gastroenterology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Yanan Yu
- Department of Gastroenterology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Lingyun Zhang
- Department of Gastroenterology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Jianrui Zhou
- Department of Gastroenterology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Xue Jing
- Department of Gastroenterology, The Affiliated Hospital of Qingdao University, Qingdao, China
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16
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Liu R, Zhang YN, Fei XJ, Wang JY, Hua RL, Tong YN, Li K, Cao WW, Chen SH, Zhang BF, Chen J, Zhang YM. Association between Neutrophil Levels on Admission and All-Cause Mortality in Geriatric Patients with Hip Fractures: A Prospective Cohort Study of 2,589 Patients. Int J Clin Pract 2022; 2022:1174521. [PMID: 36628151 PMCID: PMC9797311 DOI: 10.1155/2022/1174521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Revised: 12/06/2022] [Accepted: 12/10/2022] [Indexed: 12/24/2022] Open
Abstract
OBJECTIVE To evaluate the association between neutrophil levels and all-cause mortality in geriatric hip fractures. METHODS Elderly patients with hip fractures were screened between January 2015 and September 2019. Demographic and clinical characteristics of the patients were collected. Linear and nonlinear multivariate Cox regression models were used to identify the association between neutrophil levels and mortality. Analyses were performed using Empower Stats and R software. RESULTS A total of 2,589 patients were included in this study. The mean follow-up period was 38.95 months. During the study period, 875 (33.80%) patients died due to various causes. Linear multivariate Cox regression models showed that neutrophil levels were associated with mortality after adjusting for confounding factors, when neutrophil concentration increased by 1∗109/L, the mortality risk increased by 3% (HR = 1.03, 95% CI: 1.00-1.06, and P=0210). Neutrophil concentration was used as a categorical variable; we only found statistically significant differences when neutrophil levels were high (HR = 1.27, 95% CI:1.05-1.52, and P=0.0122). In addition, the results are stable in P for trend and propensity score matching sensitivity analysis. CONCLUSIONS Neutrophil levels are associated with mortality in geriatric hip fractures and could be considered a predictor of death risk in the long-term. This study is registered with the Chinese Clinical Trial Registry (ChiCTR) as number ChiCTR2200057323.
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Affiliation(s)
- Rui Liu
- Department of Joint Surgery, Honghui Hospital, Xi'an Jiaotong University, Beilin District, Xi'an, Shaanxi, China
| | - Yan-Ning Zhang
- Department of Joint Surgery, Honghui Hospital, Xi'an Jiaotong University, Beilin District, Xi'an, Shaanxi, China
| | - Xu-Jing Fei
- Department of Joint Surgery, Honghui Hospital, Xi'an Jiaotong University, Beilin District, Xi'an, Shaanxi, China
| | - Jing-Ya Wang
- Department of Joint Surgery, Honghui Hospital, Xi'an Jiaotong University, Beilin District, Xi'an, Shaanxi, China
| | - Rong-Li Hua
- Department of Joint Surgery, Honghui Hospital, Xi'an Jiaotong University, Beilin District, Xi'an, Shaanxi, China
| | - Ying-Na Tong
- Department of Joint Surgery, Honghui Hospital, Xi'an Jiaotong University, Beilin District, Xi'an, Shaanxi, China
| | - Kun Li
- Department of Joint Surgery, Honghui Hospital, Xi'an Jiaotong University, Beilin District, Xi'an, Shaanxi, China
| | - Wen-Wen Cao
- Department of Joint Surgery, Honghui Hospital, Xi'an Jiaotong University, Beilin District, Xi'an, Shaanxi, China
| | - Shao-Hua Chen
- Department of Joint Surgery, Honghui Hospital, Xi'an Jiaotong University, Beilin District, Xi'an, Shaanxi, China
| | - Bin-Fei Zhang
- Department of Joint Surgery, Honghui Hospital, Xi'an Jiaotong University, Beilin District, Xi'an, Shaanxi, China
| | - Juan Chen
- Department of Joint Surgery, Honghui Hospital, Xi'an Jiaotong University, Beilin District, Xi'an, Shaanxi, China
| | - Yu-Min Zhang
- Department of Joint Surgery, Honghui Hospital, Xi'an Jiaotong University, Beilin District, Xi'an, Shaanxi, China
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Miyazaki K, Morine Y, Yamada S, Saito Y, Tokuda K, Okikawa S, Yamashita S, Oya T, Ikemoto T, Imura S, Hu H, Morioka H, Tsuneyama K, Shimada M. Stromal tumor-infiltrating lymphocytes level as a prognostic factor for resected intrahepatic cholangiocarcinoma and its prediction by apparent diffusion coefficient. Int J Clin Oncol 2021; 26:2265-2274. [PMID: 34596803 DOI: 10.1007/s10147-021-02026-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2021] [Accepted: 08/09/2021] [Indexed: 11/29/2022]
Abstract
BACKGROUND Tumor-infiltrating lymphocytes (TILs) are a prognostic factor or an indicator of chemotherapy response for various malignancies. The aim of this study was to investigate the prognostic impact of TILs in resected intrahepatic cholangiocarcinoma (IHCC). We also investigated the usefulness of the apparent diffusion coefficient (ADC) in diffusion-weighted magnetic resonance imaging (DW-MRI) to predict TILs. METHODS We enrolled 23 patients with IHCC who underwent initial hepatic resection in Tokushima University Hospital from 2006 to 2017. We evaluated stromal TILs in the tumor marginal area and central area in surgical specimens. Patients were divided into low vs high stromal TILs groups. We analyzed the patients' clinicopathological factors, including prognosis, according to the degree of stromal TILs. We also analyzed the correlation between stromal TILs and the minimum ADC value. RESULTS Stromal TILs in the marginal area reflected overall survival more accurately than that in the central area. Additionally, marginal low TILs was significantly associated with lymph node metastasis and portal vein invasion. Both overall- and disease-free survival rates in the marginal low TILs group were significantly worse than those in the marginal high TILs group (P < 0.05). In the multivariate analysis, marginal low TILs were an independent prognostic factor for both overall- and disease-free survival (P < 0.05), and marginal low TILs were significantly associated with lower minimum ADC values (P < 0.02). CONCLUSIONS Stromal TILs, especially in the marginal area, might demonstrate prognostic impact in patients with IHCC. Moreover, the ADC values from MRI may predict TILs in IHCC tumor tissue.
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Affiliation(s)
- Katsuki Miyazaki
- Department of Surgery, Tokushima University, 3-18-15 Kuramoto-cho, Tokushima, 770-8503, Japan
| | - Yuji Morine
- Department of Surgery, Tokushima University, 3-18-15 Kuramoto-cho, Tokushima, 770-8503, Japan
| | - Shinichiro Yamada
- Department of Surgery, Tokushima University, 3-18-15 Kuramoto-cho, Tokushima, 770-8503, Japan
| | - Yu Saito
- Department of Surgery, Tokushima University, 3-18-15 Kuramoto-cho, Tokushima, 770-8503, Japan
| | - Kazunori Tokuda
- Department of Surgery, Tokushima University, 3-18-15 Kuramoto-cho, Tokushima, 770-8503, Japan
| | - Shohei Okikawa
- Department of Surgery, Tokushima University, 3-18-15 Kuramoto-cho, Tokushima, 770-8503, Japan
| | - Shoko Yamashita
- Department of Surgery, Tokushima University, 3-18-15 Kuramoto-cho, Tokushima, 770-8503, Japan.,Department of Pathology and Laboratory Medicine, Tokushima University, 3-18-15 Kuramoto-cho, Tokushima, 770-8503, Japan
| | - Takeshi Oya
- Department of Molecular Pathology, Tokushima University, 3-18-15 Kuramoto-cho, Tokushima, 770-8503, Japan
| | - Tetsuya Ikemoto
- Department of Surgery, Tokushima University, 3-18-15 Kuramoto-cho, Tokushima, 770-8503, Japan
| | - Satoru Imura
- Department of Surgery, Tokushima University, 3-18-15 Kuramoto-cho, Tokushima, 770-8503, Japan
| | - Haun Hu
- Department of Public Health, Tokushima University Graduate School of Biomedical Sciences, 3-18-15 Kuramoto-cho, Tokushima, 770-8503, Japan
| | - Hisayoshi Morioka
- Department of Public Health, Tokushima University Graduate School of Biomedical Sciences, 3-18-15 Kuramoto-cho, Tokushima, 770-8503, Japan
| | - Koichi Tsuneyama
- Department of Pathology and Laboratory Medicine, Tokushima University, 3-18-15 Kuramoto-cho, Tokushima, 770-8503, Japan
| | - Mitsuo Shimada
- Department of Surgery, Tokushima University, 3-18-15 Kuramoto-cho, Tokushima, 770-8503, Japan.
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18
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Cacho-Díaz B, Cortes-Ortega MD, Reynoso-Noverón N, Wegman-Ostrosky T, Arriaga-Canon C, Bargalló-Rocha JE. Association of the neutrophil-to-lymphocyte ratio with brain metastases in Hispanic breast cancer patients. Cancer Treat Res Commun 2021; 29:100452. [PMID: 34517195 DOI: 10.1016/j.ctarc.2021.100452] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 09/01/2021] [Accepted: 09/02/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND Breast cancer (BC) is one of the most common cancers and leading cause of cancer-related deaths in women. Metastatic disease, particularly brain metastases (BM), is associated with death in BC patients. The neutrophil-to-lymphocyte ratio (NLR) has been associated with BC prognosis, but it is not usually used in clinical practice and has not been associated with BM. We aimed to determine if there is an association between NLR and BM and if NLR is associated with survival in a Hispanic population. METHODS A retrospective cohort with a total of 2,104 patients with a confirmed diagnosis of BC at a single referral center were randomly divided into training and validation datasets. Univariable and multivariable analyses were performed to study the association of NLR with BM and/or survival. RESULTS No significant differences between datasets were identified. A high NLR (> 2.2) was associated with a higher frequency of BM after multivariable adjustment in both datasets. Overall survival was shorter in patients with a high NLR; however, the most important factor associated with outcome was the presence of BM. The interaction NLR/BM was not statistically significant. CONCLUSION A high NLR at BC diagnosis was associated with a higher frequency of BM, and the presence of BM was associated with worse overall survival in Hispanic BC patients.
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Yang T, Hao L, Yang X, Luo C, Wang G, Lin Cai C, Qi S, Li Z. Prognostic value of derived neutrophil-to-lymphocyte ratio (dNLR) in patients with non-small cell lung cancer receiving immune checkpoint inhibitors: a meta-analysis. BMJ Open 2021; 11:e049123. [PMID: 34475167 PMCID: PMC8413941 DOI: 10.1136/bmjopen-2021-049123] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
OBJECTIVES Derived neutrophil-to-lymphocytes ratio (dNLR) has recently been reported as a novel potential biomarker associated with prognosis of non-small cell lung cancer (NSCLC). However, evidence for the prognostic utility of dNLR in patients with NSCLC treated with immune checkpoint inhibitors (ICIs) remains inconsistent. The objective of this work was to evaluate the association between pretreatment dNLR and prognosis of patients with NSCLC treated with ICIs. DESIGN This study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. DATA SOURCES PubMed, EMBASE, Web of Science and the Cochrane Library were searched for eligible studies up to 16 October 2020. ELIGIBILITY CRITERIA: (1) Human subjects receiving ICIs therapy and who had been diagnosed with NSCLC; (2) the baseline values of dNLR were obtained; (3) the objective of the study was to investigate the relationships between dNLR and overall survival (OS) or progression-free survival (PFS) in NSCLC and (4) HR and 95% CI were displayed in the original article or could be extracted from Kaplan-Meier curves. DATA EXTRACTION AND SYNTHESIS Two investigators extracted data independently. Data synthesis was performed via systematic review and meta-analysis of eligible cohort studies. Meta-analysis was performed with Cochran's Q test and I2 statistics. Publication bias of studies was assessed by Begg's test and Egger's test. We used V.12.0 of the Stata statistical software. RESULTS This analysis included eight studies (2456 cases) on the prognostic utility of dNLR in ICI therapy for NSCLC. The results indicate that higher dNLR significantly predicted poor OS (HR=1.65, 95% CI 1.46 to 1.88; p<0.001) and PFS (HR=1.38, 95% CI 1.23 to 1.55; p<0.001). Subgroup analyses of OS-related studies indicated that there were similar results in stratifications by ethnicity, sample size, type of HR and dNLR cut-off value. As for PFS-related studies, subgroup analyses showed no significant difference in Asian populations. Publication biases were not detected using Begg's test and Egger's linear regression test. CONCLUSIONS This meta-analysis indicated that elevated pretreatment dNLR may be a negative prognostic predictor for patients with NSCLC treated with ICIs. More large-sample and higher-quality studies are warranted to support our findings. PROSPERO REGISTRATION NUMBER CRD42021214034.
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Affiliation(s)
- Tao Yang
- Beijing University of Chinese Medicine Affiliated Dongzhimen Hospital, Beijing, China
- Beijing Shijitan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Lizheng Hao
- Beijing University of Chinese Medicine Affiliated Dongzhimen Hospital, Beijing, China
| | - Xinyu Yang
- Beijing University of Chinese Medicine Affiliated Dongzhimen Hospital, Beijing, China
| | - Changyong Luo
- Beijing University of Chinese Medicine, Beijing, China
| | - Guomi Wang
- Beijing University of Chinese Medicine, Beijing, China
| | | | - Shuo Qi
- Department of Thyroid, Sun Simiao hospital, Beijing University of Chinese Medicine, Tongchuan, China
| | - Zhong Li
- Department of Hematology and Oncology, Beijing University of Chinese Medicine Affiliated Dongzhimen Hospital, Beijing, China
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Time-Sequencing of the Neutrophil-to-Lymphocyte Ratio to Predict Prognosis of Triple-Negative Breast Cancer. Cancers (Basel) 2021; 13:cancers13143472. [PMID: 34298685 PMCID: PMC8307555 DOI: 10.3390/cancers13143472] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Revised: 06/25/2021] [Accepted: 07/08/2021] [Indexed: 01/04/2023] Open
Abstract
Since triple-negative breast cancers (TNBCs) have varying prognoses, it is important to identify subgroups with particularly poor prognosis. The aim of this study was to assess whether changes in the neutrophil-to-lymphocyte ratio (NLR) during the treatment process were associated with poor prognosis in TNBC patients. This study included 600 TNBC patients who underwent surgery from January 2005 to December 2016. The associations of the NLR and clinicopathologic factors with breast cancer recurrence and survival in patients who underwent both definitive local treatment (total mastectomy or breast-conserving surgery with radiotherapy) and systemic chemotherapy were analyzed. The NLRs at four time points (before surgery, before chemotherapy, before radiotherapy, and 1 year after surgery) were assessed. The univariate analysis showed that changes in the NLR before the start of radiotherapy (odds ratio: 1.115, confidence interval: 1.011-1.229) and 1 year after surgery (odds ratio: 1.196, confidence interval: 1.057-1.354) significantly increased the risk of recurrence or death. In multivariate analysis, T stage, N stage, and changes in the NLR were significant factors. A time-sequenced NLR may reflect the prognosis of TNBC patients. A poor prognosis is expected in patients whose NLR increases during treatment compared to the preoperative NLR, and additional treatment is needed.
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21
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Prognostic Relevance of Neutrophil to Lymphocyte Ratio (NLR) in Luminal Breast Cancer: A Retrospective Analysis in the Neoadjuvant Setting. Cells 2021; 10:cells10071685. [PMID: 34359855 PMCID: PMC8303552 DOI: 10.3390/cells10071685] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Revised: 06/23/2021] [Accepted: 06/28/2021] [Indexed: 12/14/2022] Open
Abstract
The neutrophil to lymphocyte ratio (NLR) is a promising predictive and prognostic factor in breast cancer. We investigated its ability to predict disease-free survival (DFS) and overall survival (OS) in patients with luminal A- or luminal B-HER2-negative breast cancer who received neoadjuvant chemotherapy (NACT). Pre-treatment complete blood cell counts from 168 consecutive patients with luminal breast cancer were evaluated to assess NLR. The study population was stratified into NLRlow or NLRhigh according to a cut-off value established by receiving operator curve (ROC) analysis. Data on additional pre- and post-treatment clinical-pathological characteristics were also collected. Kaplan–Meier curves, log-rank tests, and Cox proportional hazards models were used for statistical analyses. Patients with pre-treatment NLRlow showed a significantly shorter DFS (HR: 6.97, 95% CI: 1.65–10.55, p = 0.002) and OS (HR: 7.79, 95% CI: 1.25–15.07, p = 0.021) compared to those with NLRhigh. Non-ductal histology, luminal B subtype, and post-treatment Ki67 ≥ 14% were also associated with worse DFS (p = 0.016, p = 0.002, and p = 0.001, respectively). In a multivariate analysis, luminal B subtype, post-treatment Ki67 ≥ 14%, and NLRlow remained independent prognostic factors for DFS, while only post-treatment Ki67 ≥ 14% and NLRlow affected OS. The present study provides evidence that pre-treatment NLRlow helps identify women at higher risk of recurrence and death among patients affected by luminal breast cancer treated with NACT.
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22
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Ahn SG, Kim SK, Shepherd JH, Cha YJ, Bae SJ, Kim C, Jeong J, Perou CM. Clinical and genomic assessment of PD-L1 SP142 expression in triple-negative breast cancer. Breast Cancer Res Treat 2021; 188:165-178. [PMID: 33770313 PMCID: PMC8233296 DOI: 10.1007/s10549-021-06193-9] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Accepted: 03/10/2021] [Indexed: 01/12/2023]
Abstract
PURPOSE The SP142 PD-L1 assay is a companion diagnostic for atezolizumab in metastatic triple-negative breast cancer (TNBC). We strove to understand the biological, genomic, and clinical characteristics associated with SP142 PD-L1 positivity in TNBC patients. METHODS Using 149 TNBC formalin-fixed paraffin-embedded tumor samples, tissue microarray (TMA) and gene expression microarrays were performed in parallel. The VENTANA SP142 assay was used to identify PD-L1 expression from TMA slides. We next generated a gene signature reflective of SP142 status and evaluated signature distribution according to TNBCtype and PAM50 subtypes. A SP142 gene expression signature was identified and was biologically and clinically evaluated on the TNBCs of TCGA, other cohorts, and on other malignancies treated with immune checkpoint inhibitors (ICI). RESULTS Using SP142, 28.9% of samples were PD-L1 protein positive. The SP142 PD-L1-positive TNBC had higher CD8+ T cell percentage, stromal tumor-infiltrating lymphocyte levels, and higher rate of the immunomodulatory TNBCtype compared to PD-L1-negative samples. The recurrence-free survival was prolonged in PD-L1-positive TNBC. The SP142-guided gene expression signature consisted of 94 immune-related genes. The SP142 signature was associated with a higher pathologic complete response rate and better survival in multiple TNBC cohorts. In the TNBC of TCGA, this signature was correlated with lymphocyte-infiltrating signature scores, but not with tumor mutational burden or total neoantigen count. In other malignancies treated with ICIs, the SP142 genomic signature was associated with improved response and survival. CONCLUSIONS We provide multi-faceted evidence that SP142 PDL1-positive TNBC have immuno-genomic features characterized as highly lymphocyte-infiltrated and a relatively favorable survival.
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Affiliation(s)
- Sung Gwe Ahn
- Department of Surgery, Gangnam Severance Hospital, Yonsei University College of Medicine, 712 Eon-juro, Gangnam-gu, Seoul, Republic of Korea
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Seon-Kyu Kim
- Personalized Genomic Medicine Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB),, Daejeon, Korea
| | - Jonathan H Shepherd
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Yoon Jin Cha
- Department of Pathology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Soong June Bae
- Department of Surgery, Gangnam Severance Hospital, Yonsei University College of Medicine, 712 Eon-juro, Gangnam-gu, Seoul, Republic of Korea
| | - Chungyeul Kim
- Department of Pathology, Guro Hospital, Korea University College of Medicine, Seoul, Korea
| | - Joon Jeong
- Department of Surgery, Gangnam Severance Hospital, Yonsei University College of Medicine, 712 Eon-juro, Gangnam-gu, Seoul, Republic of Korea.
| | - Charles M Perou
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, 27599, USA.
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA.
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23
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Preoperative lymphocyte/C-reactive protein ratio and its correlation with CD8 + tumor-infiltrating lymphocytes as a predictor of prognosis after resection of intrahepatic cholangiocarcinoma. Surg Today 2021; 51:1985-1995. [PMID: 34009433 DOI: 10.1007/s00595-021-02295-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Accepted: 03/08/2021] [Indexed: 12/18/2022]
Abstract
PURPOSE To clarify whether the preoperative lymphocyte/C-reactive protein (CRP) ratio (LCR) is a prognostic factor for patients with intrahepatic cholangiocarcinoma (IHCC), and investigate its mechanism via tumor-infiltrating lymphocytes. METHODS The subjects of this retrospective study were 42 patients who had undergone hepatectomy for IHCC. We divided the patients into low LCR and high LCR groups (cutoff value: 8780) and analyzed their overall survival (OS) and disease-free survival (DFS) with respect to LCR and other clinicopathological factors. We also investigated the levels of stromal tumor-infiltrating lymphocytes (TILs) and CD8+ TILs in surgical specimens, and the relationship between LCR and TILs. RESULTS A low LCR was identified in 21 patients and was significantly correlated with older age, a high CRP-albumin ratio, and advanced disease stage, and was a prognostic factor for OS and DFS. Multivariate analysis revealed that a low LCR was an independent prognostic factor for worse OS (HR 10.40, P = 0.0077). Although the LCR and levels of stromal TILs were not significantly related, LCR and levels of CD8+ TILs were significantly related (P = 0.0297). CONCLUSION The preoperative LCR may predict the postsurgical prognosis of patients with IHCC and reflect the CD8+ TILs.
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Clinical importance of the absolute count of neutrophils, lymphocytes, monocytes, and platelets in newly diagnosed hepatocellular carcinoma. Sci Rep 2021; 11:2614. [PMID: 33510378 PMCID: PMC7844216 DOI: 10.1038/s41598-021-82177-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Accepted: 01/18/2021] [Indexed: 02/08/2023] Open
Abstract
Although several studies have confirmed the clinical significance of the systemic inflammation markers in hepatocellular carcinoma (HCC), evaluating the clinical significance of each blood cell remains to be conducted. We aimed to evaluate the clinical importance of absolute counts of blood cells in the overall survival (OS) of patients with newly diagnosed HCC. We recruited patient cohorts from the prospective registry of newly diagnosed and previously untreated HCC at Samsung Medical Center, which included a training set of 6619 patients (2005–2013) and a validation set of 2084 patients (2014–2016). More than three-quarters of all patients had hepatitis B virus (HBV)-related HCC in both training and validation sets. The optimal cutoff values of the absolute counts of neutrophils, lymphocytes, monocytes, and platelets were 3917, 488, 1379, and 22,100, respectively, which correlated significantly with OS. The absolute blood cell counts categorized by each optimal cutoff value significantly correlated with liver function status determined by Child–Pugh class/albumin-bilirubin (ALBI) grade and the HCC burden determined by several staging systems/portal vein tumor thrombosis. Although the prognostic model based on these blood cells (ABC model) showed a lower prognostic ability than the Japan Integrated Staging or ALBI-T staging systems, it provided significant discrimination of survival in the subgroups of ALBI-T and showed the highest prognostic ability in the present study in the training and validation sets. Absolute counts of blood cells are independently associated with OS, though it is also significantly associated with liver function and tumor burden in newly diagnosed HCC.
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Saito Y, Imura S, Morine Y, Ikemoto T, Yamada S, Shimada M. Preoperative prognostic nutritional index predicts short- and long-term outcomes after liver resection in patients with hepatocellular carcinoma. Oncol Lett 2020; 21:153. [PMID: 33552271 DOI: 10.3892/ol.2020.12414] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2020] [Accepted: 10/14/2020] [Indexed: 01/19/2023] Open
Abstract
The prognostic nutritional index (PNI) is one of the immune parameters calculated on the basis of the serum albumin and the total lymphocyte count. The aim of the present study was to investigate the prognostic significance of the PNI for short- and long-term outcomes after liver resection for patients with hepatocellular carcinoma (HCC). Data from 162 surgically treated patients with HCC (without any previous treatment) were retrospectively analyzed. The cutoff value of preoperative PNI was 45.0, which was calculated by a receiver operating characteristic curve for predicting the recurrence of HCC after liver resection. Patients were divided into low (n=86) and high (n=76) PNI groups. In short-term outcomes, patients in the low PNI group were more likely to experience postoperative complications compared with those in the high PNI group. The 5-year disease-free survival (DFS) rate in the low PNI group was significantly lower compared with that in the high PNI group (20.5% vs. 48.7%). In the multivariate analysis, a low PNI was an independent prognostic factor for DFS (HR, 1.65; 95% CI, 1.00-2.71). In conclusion, the preoperative PNI may be a prognostic factor for evaluating short- and long-term outcomes after liver resection in patients with HCC.
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Affiliation(s)
- Yu Saito
- Department of Surgery, Tokushima University, Tokushima 770-8503, Japan
| | - Satoru Imura
- Department of Surgery, Tokushima University, Tokushima 770-8503, Japan
| | - Yuji Morine
- Department of Surgery, Tokushima University, Tokushima 770-8503, Japan
| | - Tetsuya Ikemoto
- Department of Surgery, Tokushima University, Tokushima 770-8503, Japan
| | - Shinichiro Yamada
- Department of Surgery, Tokushima University, Tokushima 770-8503, Japan
| | - Mitsuo Shimada
- Department of Surgery, Tokushima University, Tokushima 770-8503, Japan
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Wu L, Saxena S, Goel P, Prajapati DR, Wang C, Singh RK. Breast Cancer Cell-Neutrophil Interactions Enhance Neutrophil Survival and Pro-Tumorigenic Activities. Cancers (Basel) 2020; 12:E2884. [PMID: 33049964 PMCID: PMC7599756 DOI: 10.3390/cancers12102884] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2020] [Revised: 10/02/2020] [Accepted: 10/05/2020] [Indexed: 12/14/2022] Open
Abstract
Breast cancer remains the most prevalent cancer in women with limited treatment options for patients suffering from therapy-resistance and metastatic disease. Neutrophils play an important role in breast cancer progression and metastasis. We examined the pro-tumorigenic nature of the breast cancer cell-neutrophil interactions and delineated the differences in neutrophil properties between the chemotherapy-resistant and the parent tumor microenvironment. Our data demonstrated that high neutrophil infiltration is associated with disease aggressiveness and therapy resistance. In the human breast cancer dataset, expression of neutrophil-related signature gene expression was higher in tumors from therapy-resistant patients than therapy-sensitive patients. We observed that breast cancer-derived factors significantly enhanced neutrophil survival, polarization, and pro-inflammatory cytokine expression. Breast cancer cell-derived supernatant treated neutrophils significantly expressed high levels of interleukin-1β (IL-1β), CC-chemokine ligand-2-4 (CCL2, CCL3, CCL4), inducible nitric oxide synthase (iNOS), and matrix metallopeptidase-9 (MMP9), and formed extracellular traps (NETs). Moreover, neutrophils showed increased secretion of MMP9 when cultured with the supernatant of chemotherapy-resistant Cl66-Doxorubicin (Cl66-Dox) and Cl66-Paclitaxel (Cl66-Pac) cells in comparison with the supernatant of Cl66-parent cells. Together, these data suggest an important role of breast cancer cell-neutrophil interactions in regulating pro-tumor characteristics in neutrophils and its modulation by therapy resistance.
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Affiliation(s)
- Lingyun Wu
- Department of Pathology and Microbiology, University of Nebraska Medical Center, 985900 UNMC, Omaha, NE 68198-5900, USA; (L.W.); (S.S.); (P.G.); (D.R.P.); (C.W.)
- Vascular Biology and Therapeutics Program and Department of Pharmacology, Yale University, Yale School of Medicine, New Haven, CT 06520-8089, USA
| | - Sugandha Saxena
- Department of Pathology and Microbiology, University of Nebraska Medical Center, 985900 UNMC, Omaha, NE 68198-5900, USA; (L.W.); (S.S.); (P.G.); (D.R.P.); (C.W.)
| | - Paran Goel
- Department of Pathology and Microbiology, University of Nebraska Medical Center, 985900 UNMC, Omaha, NE 68198-5900, USA; (L.W.); (S.S.); (P.G.); (D.R.P.); (C.W.)
| | - Dipakkumar R. Prajapati
- Department of Pathology and Microbiology, University of Nebraska Medical Center, 985900 UNMC, Omaha, NE 68198-5900, USA; (L.W.); (S.S.); (P.G.); (D.R.P.); (C.W.)
| | - Cheng Wang
- Department of Pathology and Microbiology, University of Nebraska Medical Center, 985900 UNMC, Omaha, NE 68198-5900, USA; (L.W.); (S.S.); (P.G.); (D.R.P.); (C.W.)
| | - Rakesh K. Singh
- Department of Pathology and Microbiology, University of Nebraska Medical Center, 985900 UNMC, Omaha, NE 68198-5900, USA; (L.W.); (S.S.); (P.G.); (D.R.P.); (C.W.)
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27
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Van Berckelaer C, Van Geyt M, Linders S, Rypens C, Trinh XB, Tjalma WAA, Van Laere S, Colpaert C, Dirix L, van Dam PA. A high neutrophil-lymphocyte ratio and platelet-lymphocyte ratio are associated with a worse outcome in inflammatory breast cancer. Breast 2020; 53:212-220. [PMID: 32890963 PMCID: PMC7481565 DOI: 10.1016/j.breast.2020.08.006] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2020] [Revised: 07/05/2020] [Accepted: 08/10/2020] [Indexed: 02/07/2023] Open
Abstract
Introduction Inflammatory breast cancer (IBC) is an uncommon, but aggressive form of breast cancer that accounts for a disproportionally high fraction of breast cancer related mortality. The aim of this study was to explore the peripheral immune response and the prognostic value of blood-based biomarkers, such as the neutrophil-to-lymphocyte ratio (NLR), in a large IBC cohort. Patients & methods We retrospectively identified 127 IBC patients and collected lab results from in-hospital medical records. The differential count of leukocytes was determined at the moment of diagnosis, before any therapeutic intervention. A cohort of early stage (n = 108), locally advanced (n = 74) and metastatic breast cancer patients (n = 41) served as a control population. Results The NLR was significantly higher in IBC compared to an early stage breast cancer cohort, but no difference between IBC patients and locally advanced breast cancer patients was noted. In the metastatic setting, there was also no significant difference between IBC and nIBC. However, a high NLR (>4.0) remained a significant predictor of worse outcome in IBC patients (HR: 0.49; 95% CI: 0.24–1.00; P = .05) and a lower platelet-lymphocyte ratio (PLR) (≤210) correlated with a better disease-free survival (DFS) (HR: 0.51; 95% CI: 0.28–0.93; P = .03). Conclusion Patients with a high NLR (>4.0) have a worse overall prognosis in IBC, while the PLR correlated with relapse free survival (RFS). Since NLR and PLR were not specifically associated with IBC disease, they can be seen as markers of more extensive disease. There is no association between NLR or PLR and inflammatory breast cancer (IBC). IBC and non-inflammatory breast cancer elicit a similar peripheral immune response. A high neutrophil-to-lymphocyte ratio (NLR) is associated with a worse overall survival in IBC. A high platelet-lymphocyte ratio (PLR) correlates with a worse disease-free survival in IBC. An elevated PLR or NLR should be seen as a marker of more extensive disease in IBC.
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Affiliation(s)
- C Van Berckelaer
- Translational Cancer Research Unit, GZA Hospitals & CORE, MIPRO, University of Antwerp, Antwerp, Belgium; Multidisciplinary Breast Clinic, Unit Gynaecologic Oncology, Antwerp University Hospital (UZA) (Belgium), Molecular Imaging, Pathology, Radiotherapy, Oncology (MIPRO), Faculty of Medicine and Health Sciences, University of Antwerp, Belgium.
| | - M Van Geyt
- Multidisciplinary Breast Clinic, Unit Gynaecologic Oncology, Antwerp University Hospital (UZA) (Belgium), Molecular Imaging, Pathology, Radiotherapy, Oncology (MIPRO), Faculty of Medicine and Health Sciences, University of Antwerp, Belgium
| | - S Linders
- Multidisciplinary Breast Clinic, Unit Gynaecologic Oncology, Antwerp University Hospital (UZA) (Belgium), Molecular Imaging, Pathology, Radiotherapy, Oncology (MIPRO), Faculty of Medicine and Health Sciences, University of Antwerp, Belgium
| | - C Rypens
- Translational Cancer Research Unit, GZA Hospitals & CORE, MIPRO, University of Antwerp, Antwerp, Belgium
| | - X B Trinh
- Multidisciplinary Breast Clinic, Unit Gynaecologic Oncology, Antwerp University Hospital (UZA) (Belgium), Molecular Imaging, Pathology, Radiotherapy, Oncology (MIPRO), Faculty of Medicine and Health Sciences, University of Antwerp, Belgium
| | - W A A Tjalma
- Multidisciplinary Breast Clinic, Unit Gynaecologic Oncology, Antwerp University Hospital (UZA) (Belgium), Molecular Imaging, Pathology, Radiotherapy, Oncology (MIPRO), Faculty of Medicine and Health Sciences, University of Antwerp, Belgium
| | - S Van Laere
- Translational Cancer Research Unit, GZA Hospitals & CORE, MIPRO, University of Antwerp, Antwerp, Belgium
| | - C Colpaert
- Department of Pathology, UZA, Antwerp University Hospital, Edegem, Belgium
| | - L Dirix
- Translational Cancer Research Unit, GZA Hospitals & CORE, MIPRO, University of Antwerp, Antwerp, Belgium; Department of Oncology, GZA Hospitals Sint-Augustinus, Antwerp, Belgium
| | - P A van Dam
- Multidisciplinary Breast Clinic, Unit Gynaecologic Oncology, Antwerp University Hospital (UZA) (Belgium), Molecular Imaging, Pathology, Radiotherapy, Oncology (MIPRO), Faculty of Medicine and Health Sciences, University of Antwerp, Belgium
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28
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Xu P, Sun Y, Song Y, Jiao J, Shen B, Li W, Jiang C, Li Y, Zhang X, Yu J, Fu L, Guo X. ATM kinase regulates tumor immunoreactions in lymphocyte-predominant breast cancer through modulation of NKG2D ligand and TNF cytokines on tumor cells. Med Mol Morphol 2020; 53:210-220. [PMID: 32067111 DOI: 10.1007/s00795-020-00247-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2019] [Accepted: 02/03/2020] [Indexed: 11/26/2022]
Abstract
To explore impact of Ataxia telangiectasia mutated (ATM) kinase on immunoreactions in lymphocyte-predominant breast cancer (LPBC), particularly its role in triple negative breast cancer (TNBC), 194 cases of LPBC were identified with pertinent clinical information retrieved. The expressions of ATM, activated ATM (P-ATM), Fas ligand (FASL), tumor necrosis factor-related apoptosis-induced ligand (TRAIL), major histocompatibility complex class I chain-related protein A (MICA), CD8, and Forkhead box P3 (FOXP3) were assessed by immunohistochemically. We found that ATM expressed on tumor cells was correlated with upregulated expression of P-ATM and MICA (P < 0.05), down-regulated expression of FASL and TRAIL (P < 0.01), and decreased Ki-67 tumor labeling (P < 0.05). However, within the TNBC group, only a negative correlation with FASL expression was found (P = 0.001). ATM and MICA expressions were significantly down -regulated in TNBC (P < 0.01) compared to non-TNBC, while TRAIL was significantly upregulated (P < 0.01). Tregs were increased in TNBC (P < 0.05), with CD8 + TILs decreased (P < 0.01). Ki-67 index was higher in TNBC than in non-TNBC (P < 0.01). ATM may play an important role in immunoreaction of LPBC, probably through upregulation of MICA and down-regulation of FASL and TRAIL. The down-regulated ATM expression in TNBC might be responsible for impaired tumor immunoactivity, rapid tumor growth, and aggressive clinical course.
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Affiliation(s)
- Peng Xu
- Department of Breast Pathology and Lab, Key Laboratory of Breast Cancer of Breast Cancer Prevention and Therapy, National Clinical Research Center of Cancer, Tianjin Medical University Cancer Institute and Hospital, West Huanhu Road, Tianjin, 300060, China
| | - Yuanyuan Sun
- Department of Breast Pathology and Lab, Key Laboratory of Breast Cancer of Breast Cancer Prevention and Therapy, National Clinical Research Center of Cancer, Tianjin Medical University Cancer Institute and Hospital, West Huanhu Road, Tianjin, 300060, China
| | - Yuanming Song
- Department of Breast Pathology and Lab, Key Laboratory of Breast Cancer of Breast Cancer Prevention and Therapy, National Clinical Research Center of Cancer, Tianjin Medical University Cancer Institute and Hospital, West Huanhu Road, Tianjin, 300060, China
| | - Jiao Jiao
- Department of Breast Pathology and Lab, Key Laboratory of Breast Cancer of Breast Cancer Prevention and Therapy, National Clinical Research Center of Cancer, Tianjin Medical University Cancer Institute and Hospital, West Huanhu Road, Tianjin, 300060, China
| | - Beibei Shen
- Department of Breast Pathology and Lab, Key Laboratory of Breast Cancer of Breast Cancer Prevention and Therapy, National Clinical Research Center of Cancer, Tianjin Medical University Cancer Institute and Hospital, West Huanhu Road, Tianjin, 300060, China
| | - Weidong Li
- Department of Breast Pathology and Lab, Key Laboratory of Breast Cancer of Breast Cancer Prevention and Therapy, National Clinical Research Center of Cancer, Tianjin Medical University Cancer Institute and Hospital, West Huanhu Road, Tianjin, 300060, China
| | - Chengying Jiang
- Department of Breast Pathology and Lab, Key Laboratory of Breast Cancer of Breast Cancer Prevention and Therapy, National Clinical Research Center of Cancer, Tianjin Medical University Cancer Institute and Hospital, West Huanhu Road, Tianjin, 300060, China
| | - Yaqing Li
- Department of Breast Pathology and Lab, Key Laboratory of Breast Cancer of Breast Cancer Prevention and Therapy, National Clinical Research Center of Cancer, Tianjin Medical University Cancer Institute and Hospital, West Huanhu Road, Tianjin, 300060, China
| | - Xinmin Zhang
- Department of Pathology, Cooper Medical School of Rowan University, Camden, NJ, USA
| | - Jinpu Yu
- Cancer Molecular Diagnostics Core, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Key Laboratory of Cancer Immunology and Biotherapy, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Li Fu
- Department of Breast Pathology and Lab, Key Laboratory of Breast Cancer of Breast Cancer Prevention and Therapy, National Clinical Research Center of Cancer, Tianjin Medical University Cancer Institute and Hospital, West Huanhu Road, Tianjin, 300060, China
| | - Xiaojing Guo
- Department of Breast Pathology and Lab, Key Laboratory of Breast Cancer of Breast Cancer Prevention and Therapy, National Clinical Research Center of Cancer, Tianjin Medical University Cancer Institute and Hospital, West Huanhu Road, Tianjin, 300060, China.
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