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Song MY, Zhao L, Huang WJ, Cui MM, Liu YX, Wang RT, Zhang X. Preoperative platelet distribution width predicts bone metastasis in patients with breast cancer. BMC Cancer 2024; 24:1066. [PMID: 39210343 PMCID: PMC11360324 DOI: 10.1186/s12885-024-12837-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2023] [Accepted: 08/21/2024] [Indexed: 09/04/2024] Open
Abstract
PURPOSE Bone metastases occur in 50-70% of patients with breast cancer (BC) and result in high mortality. Platelet distribution width (PDW), a commonly used parameter of activated platelets, has been associated with a poor prognosis in BC. We aim to investigate the prognostic role of PDW for bone metastasis in BC patients. METHODS 515 patients who received BC surgery in the Harbin Medical University Cancer Hospital from July 1, 2016, to December 31, 2017, were reviewed. Patients' characteristics and platelet indices upon enrollment in this study were collected. The Kaplan-Meier method was used to estimate the 5-year bone metastasis incidence. The univariate and multivariate Cox regression analyses were utilized to identify risk factors associated with bone metastasis. RESULTS The patients with bone metastases exhibited lower PDW levels than the patients without bone metastases. Moreover, decreased PDW was significantly correlated with histologic type, multifocal disease, and lymph node status. In addition, the patients with reduced PDW levels were more likely to develop bone metastasis. Multivariate analysis showed that PDW was an independent predictor for bone metastasis. CONCLUSION PDW is an independent predictor of bone metastasis in BC. Further research is warranted.
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Affiliation(s)
- Mei-Yue Song
- Department of Pathology, The Second Affiliated Hospital of Harbin Medical University, Harbin Medical University, Harbin, 150086, Heilongjiang, China
| | - Lin Zhao
- Department of Internal Medicine, Harbin Medical University Cancer Hospital, Harbin Medical University, NO.150 Haping ST, Nangang District, Harbin, 150081, Heilongjiang, China
| | - Wen-Juan Huang
- Department of Internal Medicine, Harbin Medical University Cancer Hospital, Harbin Medical University, NO.150 Haping ST, Nangang District, Harbin, 150081, Heilongjiang, China
| | - Ming-Ming Cui
- Department of Internal Medicine, Harbin Medical University Cancer Hospital, Harbin Medical University, NO.150 Haping ST, Nangang District, Harbin, 150081, Heilongjiang, China
| | - Yu-Xi Liu
- Department of Internal Medicine, Harbin Medical University Cancer Hospital, Harbin Medical University, NO.150 Haping ST, Nangang District, Harbin, 150081, Heilongjiang, China
| | - Rui-Tao Wang
- Department of Internal Medicine, Harbin Medical University Cancer Hospital, Harbin Medical University, NO.150 Haping ST, Nangang District, Harbin, 150081, Heilongjiang, China.
| | - Xin Zhang
- Department of Internal Medicine, Harbin Medical University Cancer Hospital, Harbin Medical University, NO.150 Haping ST, Nangang District, Harbin, 150081, Heilongjiang, China.
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He Q, Luo Z, Zou H, Ye B, Wu L, Deng Y, Yang M, Wang D, Wang Q, Zhang K. A prognostic nomogram that includes MPV in esophageal squamous cell carcinoma. Cancer Med 2023; 12:20266-20276. [PMID: 37807972 PMCID: PMC10652314 DOI: 10.1002/cam4.6551] [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: 02/15/2023] [Revised: 08/13/2023] [Accepted: 09/08/2023] [Indexed: 10/10/2023] Open
Abstract
BACKGROUND Mean platelet volume (MPV), as a marker of platelet activity, has been shown to be an efficient prognostic biomarker in several types of cancer. Using MPV, this study aimed to create and validate a prognostic nomogram to the overall survival in esophageal squamous cell carcinoma (ESCC) patients. METHODS The nomogram was constructed and tested using data from a retrospective study of 1893 patients who were randomly assigned to the training and testing cohorts with a 7:3 randomization. In order to screen out the optimal predictors for overall survival (OS), we conducted the LASSO-cox regression, univariate, and multivariate cox regression analyses. Subsequently, the predictive accuracy of the nomogram was validated in both the training and the testing cohorts. Finally, decision curve analysis (DCA) was used to confirm clinical validity. RESULTS Age, MPV, nerve invasion, T stage, and N stage were found as independent prognostic variables for OS and were further developed into a nomogram. The nomogram's prediction accuracy for 1-, 3-, and 5-year OS was 0.736, 0.749, 0.774, and 0.724, 0.719, 0.704 in the training and testing cohorts, respectively. Furthermore, DCA results indicated that nomograms outperformed the AJCC 8th and conventional T, N staging systems in both the training and testing cohorts. CONCLUSIONS The nomogram, in conjunction with MPV and standard clinicopathological markers, could improve the accuracy of prediction of OS in ESCC patients.
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Affiliation(s)
- Qiao He
- Department of Clinical LaboratorySichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of ChinaChengduChina
| | - Zhenglian Luo
- Department of Transfusion Medicine, West China HospitalSichuan UniversityChengduChina
| | - Haiming Zou
- Department of Clinical LaboratorySichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of ChinaChengduChina
| | - Bo Ye
- Department of Clinical LaboratorySichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of ChinaChengduChina
| | - Lichun Wu
- Department of Clinical LaboratorySichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of ChinaChengduChina
| | - Yao Deng
- Department of Clinical LaboratorySichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of ChinaChengduChina
| | - Mu Yang
- Centre for Translational Research in CancerSichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of ChinaChengduChina
| | - Dongsheng Wang
- Department of Clinical LaboratorySichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of ChinaChengduChina
| | - Qifeng Wang
- Department of Radiation OncologySichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of ChinaChengduChina
| | - Kaijiong Zhang
- Department of Clinical LaboratorySichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of ChinaChengduChina
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Savioli F, Morrow ES, Dolan RD, Romics L, Lannigan A, Edwards J, McMillan DC. Prognostic role of preoperative circulating systemic inflammatory response markers in primary breast cancer: meta-analysis. Br J Surg 2022; 109:1206-1215. [PMID: 36130112 DOI: 10.1093/bjs/znac319] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Revised: 06/27/2022] [Accepted: 08/17/2022] [Indexed: 12/31/2022]
Abstract
BACKGROUND Circulating markers of the systemic inflammatory response are prognostic in several cancers, but their role in operable breast cancer is unclear. A systematic review and meta-analysis of the literature was carried out. METHODS A search of electronic databases up to August 2020 identified studies that examined the prognostic value of preoperative circulating markers of the systemic inflammatory response in primary operable breast cancer. A meta-analysis was carried out for each marker with more than three studies, reporting a HR and 95 per cent confidence interval for disease-free survival (DFS), breast cancer-specific survival (BCSS) or overall survival (OS). RESULTS In total, 57 studies were reviewed and 42 were suitable for meta-analysis. Higher neutrophil-to-lymphocyte ratio (NLR) was associated with worse overall survival (OS) (pooled HR 1.75, 95 per cent c.i. 1.52 to 2.00; P < 0.001), disease-free survival (DFS) (HR 1.67, 1.50 to 1.87; P < 0.001), and breast cancer-specific survival (BCSS) (HR 1.89, 1.35 to 2.63; P < 0.001). This effect was also seen with an arithmetically-derived NLR (dNLR). Higher platelet-to-lymphocyte ratio (PLR) was associated with worse OS (HR 1.29, 1.10 to 1.50; P = 0.001) and DFS (HR 1.58, 1.33 to 1.88; P < 0.001). Higher lymphocyte-to-monocyte ratio (LMR) was associated with improved DFS (HR 0.65, 0.51 to 0.82; P < 0.001), and higher C-reactive protein (CRP) level was associated with worse BCSS (HR 1.22, 1.07 to 1.39; P = 0.002) and OS (HR 1.24, 1.14 to 1.35; P = 0.002). CONCLUSION Current evidence suggests a role for preoperative NLR, dNLR, LMR, PLR, and CRP as prognostic markers in primary operable breast cancer. Further work should define their role in clinical practice, particularly reproducible thresholds and molecular subtypes for which these may be of most value.
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Affiliation(s)
- Francesca Savioli
- Academic Unit of Surgery, School of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
| | - Elizabeth S Morrow
- Academic Unit of Surgery, School of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
| | - Ross D Dolan
- Academic Unit of Surgery, School of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
| | - Laszlo Romics
- Academic Unit of Surgery, School of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
| | - Alison Lannigan
- Department of Breast Surgery, University Hospital Wishaw, Wishaw, UK
| | - Joanne Edwards
- Institute of Cancer Sciences, University of Glasgow, Glasgow, UK
| | - Donald C McMillan
- Academic Unit of Surgery, School of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
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Chen X, Li J, Zhang X, Liu Y, Wu J, Li Y, Cui X, Jiang X. Prognostic and clinicopathological significance of pretreatment mean platelet volume in cancer: a meta-analysis. BMJ Open 2020; 10:e037614. [PMID: 33109647 PMCID: PMC7592286 DOI: 10.1136/bmjopen-2020-037614] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
OBJECTIVE Our study aimed to evaluate the prognostic and clinicopathological significance of pretreatment mean platelet volume (MPV) on cancer by using meta-analysis of published studies. DESIGN Meta-analysis. DATA SOURCES Relevant studies available before 22 December 2019 were identified by searching MEDLINE, EMBASE. ELIGIBILITY CRITERIA All published studies that assessed the prognostic and clinicopathological significance of pretreatment MPV on cancer were included. DATA EXTRACTION AND SYNTHESIS Studies were identified and extracted by two reviewers independently. The HR/OR and its 95% CIs of survival outcomes and clinicopathological parameters were calculated. RESULTS A total of 38 eligible studies (41 subsets) with 9894 patients with cancer were included in the final meta-analysis. MPV level was not significantly associated with both overall survival (HR 0.98, 95% CI 0.84 to 1.14) and disease-free survival (HR 1.22, 95% CI 0.86 to 1.73) of patients with cancer. Neither advanced nor mixed-stage tumour patients showed significant association between MPV and overall survival (HR 1.36, 95% CI 0.96 to 1.94, HR 0.90, 95% CI 0.74 to 1.09). However, high MPV had the strongest relationship with poor overall survival (HR 2.01; 95% CI 1.08 to 3.41) in gastric cancer, followed by pancreatic cancer (HR 1.54; 95% CI 1.31 to 1.82). Whereas in the subgroup using receiver operating characteristic curve method to define cut-off values, low MPV was significantly related to poor overall survival (HR 0.78, 95% CI 0.64 to 0.95). In addition, MPV had no significant association with age (OR 0.96, 95% CI 0.90 to 1.02), sex (OR 1.04, 95% CI 1.00 to 1.09), depth of cancer invasion (OR 0.90, 95% CI 0.77 to 1.04) and tumour stage (OR 0.91, 95% CI 0.78 to 1.07). CONCLUSIONS Pretreatment MPV level is of no clearly prognostic significance in cancers and no significant association with clinicopathological parameters of patients with cancers.
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Affiliation(s)
- Xin Chen
- Department of General Surgery, Nantong Tumor Hospital, Nantong, China
- Department of General Surgery, Tumor Hospital Affiliated to Nantong University, Nantong, China
| | - Jing Li
- Cancer Research Center Nantong, Nantong Tumor Hospital, Nantong, China
- Cancer Research Center Nantong, Nantong Tumor Hospital, Nantong Jiangsu, Nantong, China
| | - Xunlei Zhang
- Department of Oncology, Nantong Tumor Hospital, Nantong, China
- Department of Oncology, Tumor Hospital Affiliated to Nantong University, Nantong, China
| | - Yushan Liu
- Department of Pathology, Nantong Tumor Hospital, Nantong, China
| | - Jindong Wu
- Department of General Surgery, Nantong Tumor Hospital, Nantong, China
| | - Yangcheng Li
- Department of General Surgery, Nantong Tumor Hospital, Nantong, China
| | - Xiaopeng Cui
- Department of Gastrointestinal Surgery, Nantong University Affiliated Hospital, Nantong, China
| | - Xiaohui Jiang
- Department of General Surgery, Nantong Tumor Hospital, Nantong, China
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Beyan C, Beyan E. Mean platelet volume may not be an independent prognostic factor in breast cancer patients with type 2 diabetes mellitus. Breast Cancer 2019; 26:852-853. [PMID: 31161368 DOI: 10.1007/s12282-019-00983-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2019] [Accepted: 05/27/2019] [Indexed: 11/28/2022]
Affiliation(s)
- Cengiz Beyan
- Department of Hematology, Faculty of Medicine, Ufuk University, Çankaya, 06830, Ankara, Turkey.
| | - Esin Beyan
- Department of Internal Medicine, Kecioren Training and Research Hospital, University of Health Sciences, Ankara, Turkey
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