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Li J, Zhao Z, You D, Xie Y, Feng Y, Li X, Cui Z, Fuai L. Hemiprotonic ph-ph + with two targets inhibits metastatic breast cancer and concurrent candidiasis. Biochem Pharmacol 2024; 226:116394. [PMID: 38942090 DOI: 10.1016/j.bcp.2024.116394] [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: 03/26/2024] [Revised: 05/22/2024] [Accepted: 06/25/2024] [Indexed: 06/30/2024]
Abstract
Concurrent infection in breast cancer patients is the direct cause of the high mortality rate of the disease. However, there is no available method to increase the survival rate until now. To address the problem, we propose one drug with two target strategy to treat the refractory disease. A small chemical, ph-ph+, was attempted to be used in the study to explore the feasibility of the approach in anticancer and antifungus at the same time. The results showed that ph-ph+ could prevent the proliferation and metastasis of breast cancer cells, and kill C. albicans simultaneously. The molecular mechanism was associated with the activation of an evolutionarily conserved protease CLpP in the cancer and C. albicans cells. Also, the signaling pathway mediated by PLAGL2 that highly expressed in cancer cells participated in preventing cell metastasis and inducing apoptosis of ph-ph+. The one drug with dual targets inhibited the growth and metastasis of the cancer cells, and meanwhile eliminated C. albicans in tissues in the experimental animals. The results suggested that ph-ph+ with dual targets of CLpP and PLAGL2 would be a feasible approach to prolong the survival rate in patients with metastatic breast cancer and pathogenic infection.
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Affiliation(s)
- Jingli Li
- School of Pharmaceutical Sciences, Southwest University, China
| | - Zizhen Zhao
- School of Pharmaceutical Sciences, Southwest University, China
| | - Dongmei You
- School of Pharmaceutical Sciences, Southwest University, China
| | - Yafang Xie
- School of Pharmaceutical Sciences, Southwest University, China
| | - Yixiao Feng
- School of Pharmaceutical Sciences, Southwest University, China
| | - Xiaorong Li
- School of Pharmaceutical Sciences, Southwest University, China
| | - Zhihong Cui
- School of Pharmaceutical Sciences, Southwest University, China.
| | - Ling Fuai
- School of Pharmaceutical Sciences, Southwest University, China.
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Toniutto P, Shalaby S, Mameli L, Morisco F, Gambato M, Cossiga V, Guarino M, Marra F, Brunetto MR, Burra P, Villa E. Role of sex in liver tumor occurrence and clinical outcomes: A comprehensive review. Hepatology 2024; 79:1141-1157. [PMID: 37013373 DOI: 10.1097/hep.0000000000000277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/01/2022] [Accepted: 12/06/2022] [Indexed: 04/05/2023]
Abstract
Clinical research on sex-based differences in the manifestations, pathophysiology, and prevalence of several diseases, including those affecting the liver, has expanded considerably in recent years. Increasing evidence suggests that liver diseases develop, progress, and respond to treatment differently depending on the sex. These observations support the concept that the liver is a sexually dimorphic organ in which estrogen and androgen receptors are present, which results in disparities between men and women in liver gene expression patterns, immune responses, and the progression of liver damage, including the propensity to develop liver malignancies. Sex hormones play protective or deleterious roles depending on the patient's sex, the severity of the underlying disease, and the nature of precipitating factors. Moreover, obesity, alcohol consumption, and active smoking, as well as social determinants of liver diseases leading to sex-related inequalities, may interact strongly with hormone-related mechanisms of liver damage. Drug-induced liver injury, viral hepatitis, and metabolic liver diseases are influenced by the status of sex hormones. Available data on the roles of sex hormones and gender differences in liver tumor occurrence and clinical outcomes are conflicting. Here, we critically review the main gender-based differences in the molecular mechanisms associated with liver carcinogenesis and the prevalence, prognosis, and treatment of primary and metastatic liver tumors.
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Affiliation(s)
- Pierluigi Toniutto
- Hepatology and Liver Transplantation Unit, Azienda Sanitaria Universitaria Integrata, Department of Medical Area, University of Udine, Udine, Italy
| | - Sarah Shalaby
- Gastroenterology and Multivisceral Transplant Unit, Department of Surgery, Oncology, and Gastroenterology, Padua University Hospital, Padua, Italy
| | - Laura Mameli
- Liver and Pancreas Transplant Center, Azienda Ospedaliera Brotzu Piazzale Ricchi 1, Cagliari, Italy
| | - Filomena Morisco
- Department of Clinical Medicine and Surgery, Departmental Program "Diseases of the Liver and Biliary System," University of Naples "Federico II," Napoli, Italy
| | - Martina Gambato
- Gastroenterology and Multivisceral Transplant Unit, Department of Surgery, Oncology, and Gastroenterology, Padua University Hospital, Padua, Italy
| | - Valentina Cossiga
- Department of Clinical Medicine and Surgery, Departmental Program "Diseases of the Liver and Biliary System," University of Naples "Federico II," Napoli, Italy
| | - Maria Guarino
- Department of Clinical Medicine and Surgery, Departmental Program "Diseases of the Liver and Biliary System," University of Naples "Federico II," Napoli, Italy
| | - Fabio Marra
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
| | | | - Patrizia Burra
- Gastroenterology and Multivisceral Transplant Unit, Department of Surgery, Oncology, and Gastroenterology, Padua University Hospital, Padua, Italy
| | - Erica Villa
- Gastroenterology Department, University of Modena and Reggio Emilia, Modena, Italy
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Yang CC, Lin KW. Improving the detection of hypo-vascular liver metastases in multiphase contrast-enhanced CT with slice thickness less than 5 mm using DenseNet. Radiography (Lond) 2024; 30:759-769. [PMID: 38458104 DOI: 10.1016/j.radi.2024.02.022] [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: 01/09/2024] [Revised: 02/17/2024] [Accepted: 02/27/2024] [Indexed: 03/10/2024]
Abstract
INTRODUCTION Thinner slices are more susceptible in detecting small lesions but suffer from higher statistical fluctuation. This work aimed to reduce image noise in multiphase contrast-enhanced CT reconstructed with slice thickness thinner than the clinical setting (i.e., 5 mm) using convolutional neural network (CNN) for enabling better detection of hypo-vascular liver metastasis. METHODS A DenseNet model was used to generate noise map for multiphase CT reconstructed with slice thickness of 2.5 mm and 1.25 mm. Image denoising was conducted by subtracting the CNN-generated noise map from CT images with reduced photon flux due to thinner slice thickness. The performance of DenseNet was evaluated on CT scans of electron density phantoms and patients with hypovascular liver metastases less than 1.5 cm in terms of Hounsfield Unit (HU) variation, statistical fluctuation, and contrast-to-noise ratio (CNR). RESULTS The phantom study demonstrated that the CNN-based denoising method was able to reduce statistical fluctuation in CT images reconstructed with slice thickness of 2.5 mm and 1.25 mm without causing significant edge blurring or variation in HU values. With regards to patient study, it was found that the denoised 2.5-mm and 1.25-mm slices had higher CNR than the conventional 5-mm slices for hypo-vascular liver metastases in all 4 phases of multiphase CT. CONCLUSION Our results demonstrated that the detection of hypo-vascular liver metastases in multiphase contrast-enhanced CT with slice thickness less than 5 mm could be improved by using the CNN-based denoising method. IMPLICATIONS FOR PRACTICE Reconstruction slice thickness has a strong influence on the image quality of CT imaging. A CNN-based denoising method was used in this work to reduce the image noise in multiphase contrast-enhanced CT reconstructed with slice thickness less than 5 mm.
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Affiliation(s)
- C-C Yang
- Department of Medical Imaging and Radiological Sciences, Kaohsiung Medical University, Kaohsiung, Taiwan; Department of Medical Research, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.
| | - K-W Lin
- Department of Radiology, E-Da Dachang Hospital, Kaohsiung, Taiwan
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Zhang L, Qiao Z, Yao Y, Li Z, Hu L, Mao Y, Liu X, Chen W, Zeng Q, Zhao H. A prognostic model for triple-negative breast cancer patients with liver metastasis: A population-based study. Heliyon 2024; 10:e27837. [PMID: 38560265 PMCID: PMC10979062 DOI: 10.1016/j.heliyon.2024.e27837] [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: 10/31/2023] [Revised: 03/06/2024] [Accepted: 03/07/2024] [Indexed: 04/04/2024] Open
Abstract
However, it is still difficult for clinicians to establish prognostic stratifications and therapeutic strategies because of the lack of tools for predicting the survival of triple-negative breast cancer patients with liver metastases (TNBC-LM). Based on clinical data from large populations, a sensitive and discriminative nomogram was developed and validated to predict the prognosis of TNBC patients with LM at initial diagnosis or at the later course. Introduction/background Liver metastasis (LM) in TNBC patients is associated with significant morbidity and mortality. The objective of this study was to construct a clinical model to predict the survival of TNBC-LM patients. Materials and methods Clinicopathologic data were retrieved from the Surveillance, Epidemiology, and End Results (SEER) database and the Fifth Affiliated Hospital of Sun Yat-Sen University (FAFSYU). Based on patients with newly diagnosed TNBC with LM (nTNBC-LM) from the SEER database, a predictive nomogram was established and validated. Its predictive effect on TNBC patients with LM at later disease course by enrolling TNBC patients from FAFSYU who developed LM later. The prognostic effect of different treatment for nTNBC-LM was further assessed. Results A prognostic model was developed and validated to predict the prognosis of TNBC-LM patients. For LM patients diagnosed at the initial or later treatment stage, the C-index (0.712, 0.803 and 0.699 in the training, validation and extended groups, respectively) and calibration plots showed the acceptable prognostic accuracy and clinical applicability of the nomogram. Surgical resection on the primary tumour and chemotherapy were found to be associated with significantly better overall survival (OS). Conclusion A sensitive and discriminative model was developed to predict OS in TNBC-LM patients both at and after initial diagnosis.
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Affiliation(s)
- Liguo Zhang
- The Cancer Center of the Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, 519000, Guangdong Province, PR China
- Department of Thyroid & Breast Surgery, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, 519000, PR China
- Guangdong Provincial Key Laboratory of Biomedical Imaging, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, 519000, Guangdong Province, PR China
| | - Zhen Qiao
- Department of Breast Surgery, Zhuhai Center for Maternal and Child Health Care, Zhuhai, 519000, Guangdong Province, PR China
| | - Yinsheng Yao
- Department of General Surgery, Xiangzhou District People's Hospital, Zhuhai, PR China
| | - Zhiqiang Li
- Department of General Surgery, Xiangzhou District People's Hospital, Zhuhai, PR China
| | - Lingzhi Hu
- The Cancer Center of the Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, 519000, Guangdong Province, PR China
| | - Yinyan Mao
- The Cancer Center of the Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, 519000, Guangdong Province, PR China
| | - Xiuling Liu
- The Cancer Center of the Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, 519000, Guangdong Province, PR China
| | - Weirong Chen
- Department of Breast Surgery, Zhuhai Center for Maternal and Child Health Care, Zhuhai, 519000, Guangdong Province, PR China
| | - Qing'an Zeng
- Department of Thyroid & Breast Surgery, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, 519000, PR China
| | - Hong Zhao
- The Cancer Center of the Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, 519000, Guangdong Province, PR China
- Guangdong Provincial Key Laboratory of Biomedical Imaging, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, 519000, Guangdong Province, PR China
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Cloconi C, Georgiou C, Zamba N, Zamboglou C, Ferentinos K. Use of Radiotherapy in Advanced Breast Cancer: The Role of a Nurse. Semin Oncol Nurs 2024; 40:151567. [PMID: 38097413 DOI: 10.1016/j.soncn.2023.151567] [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: 09/26/2023] [Revised: 11/15/2023] [Accepted: 11/15/2023] [Indexed: 02/12/2024]
Abstract
OBJECTIVES Systemic therapy is the mainstay in advanced breast cancer (ABC), but innovations in radiation oncology have given radiotherapy a crucial role in the treatment of both intracranial and extracranial ABC. Breast cancer specialists include, in addition to medical and clinical oncologists, breast cancer nurses with unique theoretical knowledge and significant clinical experience. This review aims to discuss the function of radiotherapy in ABC and to highlight the role and importance of specialized nursing care for ABC patients receiving radiotherapy. DATA SOURCES An extensive literature review was conducted on the role of radiotherapy and its implementation in various settings of ABC and the pivotal contribution of nursing practices to the quality of life of these patients, with a particular focus on symptom and side effect management and prevention, education, as well as unmet patient needs. The Advanced Breast Cancer International Consensus Guidelines (ABC-5) were also included. All the above data were combined with the expert and practical considerations of breast cancer specialists within the team. CONCLUSION The sophisticated application of radiotherapy and the complexity of ABC patient management, concerning symptoms, side effects, and overall well-being necessitate collaborative efforts to optimize patient care. Breast cancer nurses hold a central role in this framework. IMPLICATIONS FOR NURSING PRACTICE The significance of specialized nursing in contributing to comprehensive patient care for ABC patients treated with radiotherapy outlines the need for extensive training that aims to provide a holistic approach and entails physical, mental, and emotional support and patient and caregiver education.
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Affiliation(s)
- Constantina Cloconi
- Head Nurse/Research Nurse of Radiation Oncology Department, German Oncology Center and Cyprus University of Technology, Limassol, Cyprus
| | - Christina Georgiou
- Nurse of Radiation Oncology Department, German Oncology Center and Cyprus University of Technology, Limassol, Cyprus
| | - Nicole Zamba
- Junior Doctor of Radiation Oncology Department, German Oncology Center, Limassol, Cyprus.
| | | | - Konstantinos Ferentinos
- Director of Radiation Oncology Department, German Oncology Center, Limassol, and European University of Cyprus, Nicosia, Cyprus
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Xie Y, Lei C, Ma Y, Li Y, Yang M, Zhang Y, Law KN, Wang N, Qu S. Prognostic nomograms for breast cancer with lung metastasis: a SEER-based population study. BMC Womens Health 2024; 24:16. [PMID: 38172874 PMCID: PMC10765699 DOI: 10.1186/s12905-023-02848-5] [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: 08/03/2023] [Accepted: 12/15/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGROUND Lung metastasis is a significant adverse predictor of prognosis in patients with breast cancer. Accurate estimation for the prognosis of patients with lung metastasis and population-based validation for the models are lacking. In the present study, we aimed to establish the nomogram to identify prognostic factors correlated with lung metastases and evaluate individualized survival in patients with lung metastasis based on SEER (Surveillance, Epidemiology, and End Results) database. METHODS We selected 1197 patients diagnosed with breast cancer with lung metastasis (BCLM) from the SEER database and randomly assigned them to the training group (n = 837) and the testing group (n = 360). Based on univariate and multivariate Cox regression analysis, we evaluated the effects of multiple variables on survival in the training group and constructed a nomogram to predict the 1-, 2-, and 3-year survival probability of patients. The nomogram were verified internally and externally by Concordance index (C-index), Net Reclassification (NRI), Integrated Discrimination Improvement (IDI), Decision Curve Analysis (DCA), and calibration plots. RESULTS According to the results of multi-factor Cox regression analysis, age, histopathology, grade, marital status, bone metastasis, brain metastasis, liver metastasis, human epidermal growth factor receptor 2 (HER2), estrogen receptor (ER), progesterone receptor (PR), surgery, neoadjuvant therapy and chemotherapy were considered as independent prognostic factors for patients with BCLM. The C-index in the training group was 0.719 and the testing group was 0.695, respectively. The AUC values of the 1-, 2-, and 3-year prognostic nomogram in the training group were 0.798, 0.790 and 0.793, and the corresponding AUC values in the testing group were 0.765, 0.761 and 0.722. The calculation results of IDI and NRI were shown. The nomograms significantly improved the risk reclassification for 1-, 2-, and 3-year overall mortality prediction compared with the AJCC 7th staging system. According to the calibration plot, nomograms showed good consistency between predicted and actual overall survival (OS) values for the patients with BCLM. DCA showed that nomograms had better net benefits at different threshold probabilities at different time points compared with the AJCC 7th staging system. CONCLUSIONS Nomograms that predicted 1-, 2-, and 3-year OS for patients with BCLM were successfully constructed and validated to help physicians in evaluating the high risk of mortality in breast cancer patients.
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Affiliation(s)
- Yude Xie
- Department of Breast Surgery, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China
| | - Chiseng Lei
- Department of Breast Surgery, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China
| | - Yuhua Ma
- Department of Breast Surgery, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China
| | - Yuan Li
- Department of Breast Surgery, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China
| | - Mei Yang
- Department of Breast Surgery, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China
| | - Yan Zhang
- Department of Breast Surgery, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China
| | - Kin Nam Law
- Department of Breast Surgery, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China
| | - Ningxia Wang
- Department of Breast Surgery, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China
| | - Shaohua Qu
- Department of Breast Surgery, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China.
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Xu Z, Chen Y, Dai Y, Chen Y, Ding J. Prognostic factors for hormone receptor-positive breast cancer with liver metastasis and establishment of novel nomograms for prediction: a SEER-based study. Transl Cancer Res 2023; 12:3672-3692. [PMID: 38193003 PMCID: PMC10774045 DOI: 10.21037/tcr-23-874] [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: 05/22/2023] [Accepted: 09/21/2023] [Indexed: 01/10/2024]
Abstract
Background The prognosis of patients with hormone receptor (HR)-positive breast cancer with liver metastasis (BCLM) remains dismal and varies widely from person to person. Thus, we sought to construct nomograms to predict overall survival (OS) and breast cancer-specific survival (BCSS) in patients with HR-positive BCLM using data from the Surveillance, Epidemiology and End Results (SEER) database. Methods The data of patients with BCLM, who had received HR-positive diagnoses between 2010 and 2016, were collected from the SEER database. A Cox proportional hazards model was used to evaluate and identify the independent risk factors for OS and BCSS. Subsequently, two new nomograms were developed. Finally, the receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA) results were evaluated. Results The data of 1,780 patients diagnosed between 2010 and 2015 were used to build the nomogram models. Using both univariate and multivariate Cox regression analyses, nine variables, including age, marital status, grade, human epidermal growth factor receptor 2 (HER2) status, chemotherapy, surgery, bone metastasis, lung metastasis, and brain metastasis, were found to be significantly associated with OS. Conversely, 10 variables, including age, marital status, T stage, grade, HER2 status, chemotherapy, surgery, bone metastasis, lung metastasis, and brain metastasis, were identified as independent risk factors for BCSS. Using the risk factors listed above, we created 1-, 2-, and 3-year survival nomograms for OS and BCSS, respectively. Subsequently, the data of 312 patients, who had been diagnosed in 2016, were used for the external validation. These results, including the ROC curve, calibration curve, and DCA results, showed that our nomogram had strong predictive power. Conclusions Nomograms can effectively and reliably predict a patient's prognosis and could be useful in clinical decision making. The nomograms had strong discrimination, calibration, and clinical values. More aggressive treatment and closer monitoring should be considered when treating high-risk individuals.
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Affiliation(s)
- Zheng Xu
- Department of Thyroid and Breast Surgery, The Affiliated Lihuili Hospital, Ningbo University, Ningbo, China
- Health Science Center, Ningbo University, Ningbo, China
| | - Yong Chen
- Department of Thyroid and Breast Surgery, The Affiliated Lihuili Hospital, Ningbo University, Ningbo, China
- Health Science Center, Ningbo University, Ningbo, China
| | - Yi Dai
- Department of Thyroid and Breast Surgery, The Affiliated Lihuili Hospital, Ningbo University, Ningbo, China
- Health Science Center, Ningbo University, Ningbo, China
| | - Yuxingzi Chen
- Department of Thyroid and Breast Surgery, The Affiliated Lihuili Hospital, Ningbo University, Ningbo, China
- Health Science Center, Ningbo University, Ningbo, China
| | - Jinhua Ding
- Department of Thyroid and Breast Surgery, The Affiliated Lihuili Hospital, Ningbo University, Ningbo, China
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Gao X, Zhang F, Zhou Q, Xu H, Bian J. Metastasis, characteristic, and treatment of breast cancer in young women and older women: A study from the Surveillance, Epidemiology, and End Results registration database. PLoS One 2023; 18:e0293830. [PMID: 37917616 PMCID: PMC10621871 DOI: 10.1371/journal.pone.0293830] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Accepted: 10/19/2023] [Indexed: 11/04/2023] Open
Abstract
BACKGROUND Younger age is an independent risk factor for breast cancer (BC) prognosis, and BC in young women is often considered more aggressive. BC patients with different age and molecular subtypes have different metastasis patterns and survival. Herein, we aim to explore the metastasis patterns, characteristics and treatment methods of young patients with BC, and to compare them with older patients. METHODS Data of young patients (aged ≤40 years old) and older patients (aged >40 years old) with BC were extracted from the Surveillance, Epidemiology, and End Results (SEER) registration database in 2010-2019 in this retrospective cohort study. Univariate and multivariate competing risk models and proportional hazard models were used to explore the association between different metastasis patterns and treatments and BC prognoses in young and older patients. Kaplan-Meier (KM) curves were drawn to reflect the survival probability of patients with BC who have different metastasis patterns. Also, we performed subgroup analysis of different metastasis patterns to explore the association between different treatments and overall survival (OS)/cancer specific survival (CSS) in patients with BC. The evaluation index was hazard ratios (HRs) with 95% confidence intervals (CIs). RESULTS Totally, 5,984 patients died, and 92.56% of them died from BC. There were respectively 1,089 young patients and 9,105 older patients, and we found some differences of characteristics and metastasis patterns between them. After adjusting for covariates, young patients who had brain metastasis and multiple sites metastasis seemed to have high risk of both lower OS and CSS. Among older patients with BC, brain metastasis, liver metastasis, and multiple sites metastasis were all positively associated with both lower OS and CSS. In young and older patients, those who not receive radiotherapy or surgery, or received non-surgery combined with radiotherapy seemed to have high risk of both lower OS and CSS. Breast-conserving surgery (BCS) and surgery combined with radiotherapy were associated with higher OS and CSS in young patients, while only older patients received surgery combined with radiotherapy had higher OS and CSS. Results of subgroup analysis indicated that for patients with different metastasis patterns, developing a personalized treatment plan is necessary. CONCLUSIONS Characteristics of BC between young patients and older patients were different. Clinicians should focus on different metastasis sites and choose appropriate treatments in patients with different ages, which may improve the prognoses.
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Affiliation(s)
- Xiaokang Gao
- Department of Thyroid and Breast Surgery, The Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, Jiangsu Province, P. R. China
| | - Fengxia Zhang
- Department of Thyroid and Breast Surgery, The Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, Jiangsu Province, P. R. China
| | - Qiwang Zhou
- Department of Thyroid and Breast Surgery, The Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, Jiangsu Province, P. R. China
| | - Hui Xu
- Department of Thyroid and Breast Surgery, The Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, Jiangsu Province, P. R. China
| | - Jie Bian
- Department of Medical, The Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, Jiangsu Province, P. R. China
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Chen L, Tan C, Li Q, Ma Z, Wu M, Tan X, Wu T, Liu J, Wang J. Assessment of the albumin-bilirubin score in breast cancer patients with liver metastasis after surgery. Heliyon 2023; 9:e21772. [PMID: 38027616 PMCID: PMC10643261 DOI: 10.1016/j.heliyon.2023.e21772] [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: 09/13/2023] [Revised: 10/25/2023] [Accepted: 10/27/2023] [Indexed: 12/01/2023] Open
Abstract
Objective This study aims to investigate the potential prognostic value of albumin-bilirubin (ALBI) score in breast cancer patients with liver metastasis after surgery. Methods This was a retrospective study of 178 breast cancer patients with liver metastasis after surgery. ALBI score was calculated by the following formula: (log10 bilirubin × 0.66) - (albumin × 0.085). The optimal cutoff value of ALBI score was assessed by X-tile. The clinical influence of ALBI score on survival outcomes using Kaplan-Meier method, Log-rank test, Cox proportional hazards regression model. The calibration curves, decision curve analysis and time-dependent ROC curve were used to assess the predictive performance of the nomogram's models. Results The classifications of 178 breast cancer patients with liver metastasis after surgery were as follows: low ALBI score group (<-3.36) vs. high ALBI score group (≥-3.36). The Cox proportional hazards regression model indicated that ALBI score was a potential predictor. Kaplan-Meier survival curve performed that the median disease free survival (p = 0.0029) and overall survival (p<0.0001) in low ALBI score group were longer than in high ALBI score group. The ALBI-based nomograms had good predictive performance. Conclusions The ALBI score has high prognostic ability for survival time in breast cancer with liver metastasis after surgery. These models will be valuable in discriminating patients at high risks of liver metastasis.
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Affiliation(s)
- Li Chen
- Department of Thyroid and Breast Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, PR China
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, PR China
| | - Chunlei Tan
- Department of Breast Surgery, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, 150081, PR China
| | - Qingwen Li
- Institute of Organ Transplantation, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Key Laboratory of Organ Transplantation, Ministry of Education, NHC Key Laboratory of Organ Transplantation, Chinese Academy of Medical Sciences, Wuhan, Hubei 430030, PR China
| | - Zhibo Ma
- Institute of Organ Transplantation, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Key Laboratory of Organ Transplantation, Ministry of Education, NHC Key Laboratory of Organ Transplantation, Chinese Academy of Medical Sciences, Wuhan, Hubei 430030, PR China
| | - Meng Wu
- Institute of Organ Transplantation, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Key Laboratory of Organ Transplantation, Ministry of Education, NHC Key Laboratory of Organ Transplantation, Chinese Academy of Medical Sciences, Wuhan, Hubei 430030, PR China
| | - Xiaosheng Tan
- Institute of Organ Transplantation, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Key Laboratory of Organ Transplantation, Ministry of Education, NHC Key Laboratory of Organ Transplantation, Chinese Academy of Medical Sciences, Wuhan, Hubei 430030, PR China
| | - Tiangen Wu
- Department of Hepatobiliary&Pancreatic Surgery, Zhongnan Hospital of Wuhan University,Wuhan, Hubei, 430071, PR China
| | - Jinwen Liu
- Department of Thyroid and Breast Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, PR China
| | - Jing Wang
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, PR China
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Jiang D, Gao X, Tan R, Liu X, Zhu Y, Zhang L. Euphorbia factor L1 suppresses breast cancer liver metastasis via DDR1-mediated immune infiltration. Aging (Albany NY) 2023; 15:9217-9229. [PMID: 37709489 PMCID: PMC10522367 DOI: 10.18632/aging.205030] [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: 03/20/2023] [Accepted: 08/21/2023] [Indexed: 09/16/2023]
Abstract
Euphorbia factor L1 (EFL1), a lathyrane-type diterpenoid from the medicinal herb Euphorbia lathyris L., has been documented to possess various pharmacologic actives. However, the function of EFL1 on breast cancer is not clear. In this study, we explored the effect and mechanism of EFL1 on breast cancer liver metastasis. Female BALB/c mice were subjected to breast cancer-surgical hepatic implantation (SHI) to establish breast cancer liver metastasis model in vivo. At 10 days post-surgery, mice were administrated with EFL1 once daily for a total of 2 weeks. Serum AST and ALT activities, abdominal circumference, peritoneal fluid, tumor weight and volume were determined to assess liver and mesenteric re-metastasis of breast cancer. H&E staining was used to observe morphology changes in tumor, liver and small intestine tissues. ELISA was applied to observe inflammatory levels. Tumor DDR1 expression and immune infiltration were determined using western blotting, immunohistochemistry and flow cytometer methods. Our results showed that EFL1 administration improved liver function (AST and ALT activities), ascites, liver metastasis and mesenteric re-metastasis in SHI mice. Also, SHI-induced inflammatory cell infiltration and IL-1β, IL-6, TNF-α generation in ascites were decreased by EFL1 treatment. Mechanism study revealed that EFL1 intervention enhanced the ratios of CD4+ and CD8+ and CD49b+(NK) T lymphocytes and decreased Treg cells through downregulating DDR1 in the tumor of SHI mice. Furthermore, overexpression of DDR1 abolished the anti-liver metastasis effect and pro-immune infiltration action of EFL1 in SHI mice. Together, our findings suggested that EFL1 protects against breast cancer liver metastasis in vivo by targeting DDR1-mediated immune infiltration.
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Affiliation(s)
- Dongjing Jiang
- Traditional Chinese Medicine and Research Office, Suzhou Health College of Technology, Suzhou 215000, China
| | - XiaoQin Gao
- Jiangsu Key Laboratory for High Technology Research of TCM Formulae, National and Local Collaborative Engineering Center of Chinese Medicinal Resources Industrialization and Formulae Innovative Medicine and Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, Nanjing University of Chinese Medicine, Nanjing 210023, China
| | - RuLan Tan
- Traditional Chinese Medicine and Research Office, Suzhou Health College of Technology, Suzhou 215000, China
| | - Xun Liu
- Traditional Chinese Medicine and Research Office, Suzhou Health College of Technology, Suzhou 215000, China
| | - Ye Zhu
- Traditional Chinese Medicine and Research Office, Suzhou Health College of Technology, Suzhou 215000, China
| | - Li Zhang
- Jiangsu Key Laboratory for High Technology Research of TCM Formulae, National and Local Collaborative Engineering Center of Chinese Medicinal Resources Industrialization and Formulae Innovative Medicine and Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, Nanjing University of Chinese Medicine, Nanjing 210023, China
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11
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Wang Y, Liang Y, Ye F, Luo D, Jin Y, Li Y, Zhao W, Chen B, Wang L, Yang Q. Histologic heterogeneity predicts patient prognosis of HER2-positive metastatic breast cancer: A retrospective study based on SEER database. Cancer Med 2023; 12:18597-18610. [PMID: 37605516 PMCID: PMC10557902 DOI: 10.1002/cam4.6469] [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: 03/30/2023] [Revised: 08/06/2023] [Accepted: 08/11/2023] [Indexed: 08/23/2023] Open
Abstract
BACKGROUND Human epidermal growth factor receptor 2-positive (HER2+) metastatic breast cancer (MBC) is a subtype of breast cancer with a worse prognosis. Little is known about the relationship between histology and prognosis among different distant metastasis sites (DMS). Our aims were to explore the prognostic value of histologic subtypes in different DMS and screen out specific subtypes with particular DMS that need more attention in HER2+ MBC. METHODS HER2+ MBC patient data were obtained from the Surveillance, Epidemiology, and End Results (SEER) database between 2010 and 2014. Chi-squared tests were utilized to compare histologic subtypes in four DMS. The logistic regression analyses were used to control confounding factors. The log-rank tests were used to analyze the correlation of histologic subtype with disease-specific survival and overall survival. The survival data was analyzed using Kaplan-Meier methods. RESULTS A total of 1174 HER2+ MBC patients were involved. First, the distribution of histological subtypes varied across metastatic sites, and the proportions of metastatic sites in different histological subtypes were also different. Furthermore, different histological subtypes within specific DMS showed divergent prognoses, and the different outcomes were shown by distinct DMS for specific histological subtypes. Among them, lobular carcinoma (ILC) subtypes showed the worst prognosis in bone metastasis, and lung metastasis predicted the worst prognosis in infiltration duct and lobular carcinoma (IDC-ILC) subtypes. After further consideration of hormone receptor (HR) status, the IDC-ILC subtype with liver metastasis in HR+/HER2+ MBC patients and the ILC subtype with bone metastasis in HR-/HER2+ MBC patients proved to be noteworthy. CONCLUSIONS Histological subtypes are involved in determining the heterogeneity of HER2+ MBC patient prognosis, which is helpful to guide the prognosis prediction and monitoring of HER2+ breast cancer patients in clinics.
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Affiliation(s)
- Yajie Wang
- Department of Breast Surgery, General SurgeryQilu Hospital of Shandong UniversityJinanChina
| | - Yiran Liang
- Department of Breast Surgery, General SurgeryQilu Hospital of Shandong UniversityJinanChina
| | - Fangzhou Ye
- Department of Breast Surgery, General SurgeryQilu Hospital of Shandong UniversityJinanChina
| | - Dan Luo
- Department of Breast Surgery, General SurgeryQilu Hospital of Shandong UniversityJinanChina
| | - Yuhan Jin
- Department of Breast Surgery, General SurgeryQilu Hospital of Shandong UniversityJinanChina
| | - Yaming Li
- Department of Breast Surgery, General SurgeryQilu Hospital of Shandong UniversityJinanChina
| | - Wenjing Zhao
- Pathology Tissue BankQilu Hospital of Shandong UniversityJinanChina
| | - Bing Chen
- Pathology Tissue BankQilu Hospital of Shandong UniversityJinanChina
| | - Lijuan Wang
- Pathology Tissue BankQilu Hospital of Shandong UniversityJinanChina
| | - Qifeng Yang
- Department of Breast Surgery, General SurgeryQilu Hospital of Shandong UniversityJinanChina
- Pathology Tissue BankQilu Hospital of Shandong UniversityJinanChina
- Research Institute of Breast CancerShandong UniversityJinanChina
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12
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Khorrami M, Viswanathan VS, Reddy P, Braman N, Kunte S, Gupta A, Abraham J, Montero AJ, Madabhushi A. Radiomic predicts early response to CDK4/6 inhibitors in hormone receptor positive metastatic breast cancer. NPJ Breast Cancer 2023; 9:67. [PMID: 37567880 PMCID: PMC10421862 DOI: 10.1038/s41523-023-00574-7] [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: 08/26/2022] [Accepted: 07/28/2023] [Indexed: 08/13/2023] Open
Abstract
The combination of Cyclin-dependent kinase 4/6 inhibitors (CDK4/6i) and endocrine therapy (ET) is the standard of care for hormone receptor-positive (HR + ), human epidermal growth factor receptor 2-negative (HER2-) metastatic breast cancer (MBC). Currently, there are no robust biomarkers that can predict response to CDK4/6i, and it is not clear which patients benefit from this therapy. Since MBC patients with liver metastases have a poorer prognosis, developing predictive biomarkers that could identify patients likely to respond to CDK4/6i is clinically important. Here we show the ability of imaging texture biomarkers before and a few cycles after CDK4/6i therapy, to predict early response and overall survival (OS) on 73 MBC patients with known liver metastases who received palbociclib plus ET from two sites. The delta radiomic model was associated with OS in validation set (HR: 2.4; 95% CI, 1.06-5.6; P = 0.035; C-index = 0.77). Compared to RECIST response, delta radiomic features predicted response with area under the curve (AUC) = 0.72, 95% confidence interval (CI) 0.67-0.88. Our study revealed that radiomics features can predict a lack of response earlier than standard anatomic/RECIST 1.1 assessment and warrants further study and clinical validation.
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Affiliation(s)
| | | | - Priyanka Reddy
- Department of Medicine, Division of Hematology and Oncology, University Hospitals/Seidman Cancer Center, Case Western Reserve University, Cleveland, OH, USA
| | - Nathaniel Braman
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA
| | - Siddharth Kunte
- Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Amit Gupta
- Department of Medicine, Division of Hematology and Oncology, University Hospitals/Seidman Cancer Center, Case Western Reserve University, Cleveland, OH, USA
| | - Jame Abraham
- Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Alberto J Montero
- Department of Medicine, Division of Hematology and Oncology, University Hospitals/Seidman Cancer Center, Case Western Reserve University, Cleveland, OH, USA
| | - Anant Madabhushi
- Department of Biomedical Engineering, Emory University, Atlanta, GA, USA.
- Atlanta VA Medical Center, Atlanta, GA, USA.
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13
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Pu CC, Yin L, Yan JM. Risk factors and survival prediction of young breast cancer patients with liver metastases: a population-based study. Front Endocrinol (Lausanne) 2023; 14:1158759. [PMID: 37424855 PMCID: PMC10328090 DOI: 10.3389/fendo.2023.1158759] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Accepted: 06/12/2023] [Indexed: 07/11/2023] Open
Abstract
Background The risk and prognosis of young breast cancer (YBC) with liver metastases (YBCLM) remain unclear. Thus, this study aimed to determine the risk and prognostic factors in these patients and construct predictive nomogram models. Methods This population-based retrospective study was conducted using data of YBCLM patients from the Surveillance, Epidemiology, and End Results database between 2010 and 2019. Multivariate logistic and Cox regression analyses were used to identify independent risk and prognostic factors, which were used to construct the diagnostic and prognostic nomograms. The concordance index (C-index), calibration plot, receiver operating characteristic (ROC) curve, and decision curve analysis (DCA) were used to assess the performances of the established nomogram models. Propensity score matching (PSM) analysis was used to balance the baseline characteristics between the YBCLM patients and non-young patients with BCLM when comparing overall survival (OS) and cancer-specific survival (CSS). Results A total of 18,275 YBC were identified, of whom 400 had LM. T stage, N stage, molecular subtypes, and bone, lung, and brain metastases were independent risk factors for LM developing in YBC. The established diagnostic nomogram showed that bone metastases contributed the most risk of LM developing, with a C-index of 0.895 (95% confidence interval 0.877-0.913) for this nomogram model. YBCLM had better survival than non-young patients with BCLM in unmatched and matched cohorts after propensity score matching analysis. The multivariate Cox analysis demonstrated that molecular subtypes, surgery and bone, lung, and brain metastases were independently associated with OS and CSS, chemotherapy was an independent prognostic factor for OS, and marital status and T stage were independent prognostic factors for CSS. The C-indices for the OS- and CSS-specific nomograms were 0.728 (0.69-0.766) and 0.74 (0.696-0.778), respectively. The ROC analysis indicated that these models had excellent discriminatory power. The calibration curve also showed that the observed results were consistent with the predicted results. DCA showed that the developed nomogram models would be effective in clinical practice. Conclusion The present study determined the risk and prognostic factors of YBCLM and further developed nomograms that can be used to effectively identify high-risk patients and predict survival outcomes.
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Affiliation(s)
- Chen-Chen Pu
- Department of Breast and Thyroid Surgery, The First People’s Hospital of Taicang, Taicang Affiliated Hospital of Soochow University, Taicang, Jiangsu, China
| | - Lei Yin
- Department of Breast and Thyroid Surgery, Wuzhong People’s Hospital of Suzhou City, Suzhou, Jiangsu, China
| | - Jian-Ming Yan
- Department of Breast and Thyroid Surgery, The First People’s Hospital of Taicang, Taicang Affiliated Hospital of Soochow University, Taicang, Jiangsu, China
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14
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Setiawati DA, Soewoto W, Saadhi IR. IL-6 as a predictor of survival rate in liver metastatic breast cancer patients with Covid-19 infection: A case series. Int J Surg Case Rep 2023; 107:108347. [PMID: 37269765 DOI: 10.1016/j.ijscr.2023.108347] [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: 01/09/2023] [Revised: 05/13/2023] [Accepted: 05/19/2023] [Indexed: 06/05/2023] Open
Abstract
INTRODUCTION AND IMPORTANCE Breast cancer is the most common type of cancer in women, with 30 % being metastatic breast cancer. Cancer is known to be a comorbid Covid-19 infection. Interleukin-6 (IL-6) is one of the findings of inflammatory activity due to Covid-19 infection. We report IL-6 levels as a prognostic factor for survival rate in patients with liver metastatic breast cancer. CASE PRESENTATION We report five cases of liver metastatic breast cancer with various types of primary breast cancer. All patients are infected with Covid-19. IL-6 levels were reported to be elevated in all five patients. All patients were treated according to the national guidelines for the care of Covid-19 patients. All patients are reported to have deceased after being treated for Covid-19 infection. CLINICAL DISCUSSION Metastatic breast cancer has a low prognostic rate. Cancer has been recognized as one of the comorbidities and increases the severity and mortality of Covid-19 infection. Elevated levels of IL-6 are caused by an immune response to infection, and can worsen the outcome of breast cancer patients. Changes in IL-6 levels implicate the survival rate of metastatic breast cancer patients and outcomes during the treatment of Covid-19 infection. CONCLUSION Elevated levels of IL-6 can be a prognostic factor of the survival rate of metastatic breast cancer patients during the treatment of Covid-19 infection.
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Affiliation(s)
- Dea Alberta Setiawati
- Resident of Surgery Department, Sebelas Maret University, Dr. Moewardi General Hospital, Surakarta, Central Java, Indonesia.
| | - Widyanti Soewoto
- Oncology Surgeon, Department of Surgery, Sebelas Maret University, Dr. Moewardi General Hospital, Surakarta, Central Java, Indonesia.
| | - Ikhdin Radiamin Saadhi
- Resident of Surgery Department, Sebelas Maret University, Dr. Moewardi General Hospital, Surakarta, Central Java, Indonesia.
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15
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Mushonga M, Helou J, Weiss J, Dawson LA, Wong RKS, Hosni A, Kim J, Brierley J, Koch CA, Alrabiah K, Lindsay P, Stanescu T, Barry A. Clinical Outcomes of Patients with Metastatic Breast Cancer Treated with Hypo-Fractionated Liver Radiotherapy. Cancers (Basel) 2023; 15:2839. [PMID: 37345175 DOI: 10.3390/cancers15102839] [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: 04/13/2023] [Revised: 05/11/2023] [Accepted: 05/13/2023] [Indexed: 06/23/2023] Open
Abstract
PURPOSE To retrospectively review the clinical outcomes of patients with metastatic breast cancer (MBCa) following liver directed ablative intent radiotherapy (RT). METHODS Demographics, disease and treatment characteristics of patients with MBCa who received liver metastasis (LM) directed ablative RT between 2004-2020 were analysed. The primary outcome was local control (LC), secondary outcomes included overall survival (OS) and progression-free survival (PFS) analyzed by univariate (UVA) and multi-variable analysis (MVA). RESULTS Thirty MBCa patients with 50 LM treated with 5-10 fraction RT were identified. Median follow-up was 14.6 (range 0.9-156.2) months. Class of metastatic disease was described as induced (12 patients, 40%), repeat (15 patients, 50%) and de novo (three patients, 10%). Median size of treated LM was 3.1 cm (range 1-8.8 cm) and median biologically effective dose delivered was 122 (Q1-Q3; 98-174) Gy3. One-year LC rate was 100%. One year and two-year survival was 89% and 63%, respectively, with size of treated LM predictive of OS (HR 1.35, p = 0.023) on UVA. Patients with induced OMD had a significantly higher rate of progression (HR 4.77, p = 0.01) on UVA, trending to significance on MVA (HR 3.23, p = 0.051). CONCLUSIONS Hypo-fractionated ablative liver RT in patients with MBCa provides safe, tolerable treatment with excellent LC.
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Affiliation(s)
- Melinda Mushonga
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON M5G 2M9, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, ON M5T 1P5, Canada
| | - Joelle Helou
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON M5G 2M9, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, ON M5T 1P5, Canada
- Department of Oncology, Division of Radiation Oncology, Western University, London, ON N6A 5W9, Canada
| | - Jessica Weiss
- Department of Biostatistics, Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2M9, Canada
| | - Laura A Dawson
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON M5G 2M9, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, ON M5T 1P5, Canada
| | - Rebecca K S Wong
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON M5G 2M9, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, ON M5T 1P5, Canada
| | - Ali Hosni
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON M5G 2M9, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, ON M5T 1P5, Canada
| | - John Kim
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON M5G 2M9, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, ON M5T 1P5, Canada
| | - James Brierley
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON M5G 2M9, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, ON M5T 1P5, Canada
| | - C Anne Koch
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON M5G 2M9, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, ON M5T 1P5, Canada
| | - Khalid Alrabiah
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON M5G 2M9, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, ON M5T 1P5, Canada
| | - Patricia Lindsay
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON M5G 2M9, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON M5G 1L7, Canada
| | - Teo Stanescu
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON M5G 2M9, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON M5G 1L7, Canada
| | - Aisling Barry
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON M5G 2M9, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, ON M5T 1P5, Canada
- Cancer Research @UCC, University College Cork, T12 R229 Cork, Ireland
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16
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Cao BY, Tong F, Zhang LT, Kang YX, Wu CC, Wang QQ, Yang W, Wang J. Risk factors, prognostic predictors, and nomograms for pancreatic cancer patients with initially diagnosed synchronous liver metastasis. World J Gastrointest Oncol 2023; 15:128-142. [PMID: 36684042 PMCID: PMC9850760 DOI: 10.4251/wjgo.v15.i1.128] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 11/17/2022] [Accepted: 12/08/2022] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Liver metastasis (LM) remains a major cause of cancer-related death in patients with pancreatic cancer (PC) and is associated with a poor prognosis. Therefore, identifying the risk and prognostic factors in PC patients with LM (PCLM) is essential as it may aid in providing timely medical interventions to improve the prognosis of these patients. However, there are limited data on risk and prognostic factors in PCLM patients.
AIM To investigate the risk and prognostic factors of PCLM and develop corresponding diagnostic and prognostic nomograms.
METHODS Patients with primary PC diagnosed between 2010 and 2015 were reviewed from the Surveillance, Epidemiology, and Results Database. Risk factors were identified using multivariate logistic regression analysis to develop the diagnostic mode. The least absolute shrinkage and selection operator Cox regression model was used to determine the prognostic factors needed to develop the prognostic model. The performance of the two nomogram models was evaluated using receiver operating characteristic (ROC) curves, calibration plots, decision curve analysis (DCA), and risk subgroup classification. The Kaplan-Meier method with a log-rank test was used for survival analysis.
RESULTS We enrolled 33459 patients with PC in this study. Of them, 11458 (34.2%) patients had LM at initial diagnosis. Age at diagnosis, primary site, lymph node metastasis, pathological type, tumor size, and pathological grade were identified as independent risk factors for LM in patients with PC. Age > 70 years, adenocarcinoma, poor or anaplastic differentiation, lung metastases, no surgery, and no chemotherapy were the independently associated risk factors for poor prognosis in patients with PCLM. The C- index of diagnostic and prognostic nomograms were 0.731 and 0.753, respectively. The two nomograms could accurately predict the occurrence and prognosis of patients with PCLM based on the observed analysis results of ROC curves, calibration plots, and DCA curves. The prognostic nomogram could stratify patients into prognostic groups and perform well in internal validation.
CONCLUSION Our study identified the risk and prognostic factors in patients with PCLM and developed corresponding diagnostic and prognostic nomograms to help clinicians in subsequent clinical evaluation and intervention. External validation is required to confirm these results.
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Affiliation(s)
- Bi-Yang Cao
- Department of Radiation Oncology, First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
- Medical School of Chinese PLA, Beijing 100853, China
| | - Fang Tong
- Department of Radiation Oncology, First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - Le-Tian Zhang
- Department of Radiation Oncology, First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
- Medical School of Chinese PLA, Beijing 100853, China
| | - Yi-Xin Kang
- Department of Radiation Oncology, First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
- Medical School of Chinese PLA, Beijing 100853, China
| | - Chen-Chen Wu
- Department of Radiation Oncology, First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
- Medical School of Chinese PLA, Beijing 100853, China
| | - Qian-Qian Wang
- Department of Radiation Oncology, First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - Wei Yang
- Department of Radiation Oncology, First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - Jing Wang
- Department of Radiation Oncology, First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
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17
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Zhang N, Xiang Y, Shao Q, Wu J, Liu Y, Long H, Tao D, Zeng X. Different risk and prognostic factors for liver metastasis of breast cancer patients with de novo and relapsed distant metastasis in a Chinese population. Front Oncol 2023; 13:1102853. [PMID: 37124528 PMCID: PMC10146248 DOI: 10.3389/fonc.2023.1102853] [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: 11/19/2022] [Accepted: 03/27/2023] [Indexed: 05/02/2023] Open
Abstract
Purpose The present study aimed to identify clinicopathological characteristics of breast cancer liver metastasis (BCLM) as well as to characterize the risk and prognostic factors for the liver metastasis (LM) of breast cancer patients with de novo and relapsed distant metastasis in a Chinese population. Materials and methods Patients with metastatic breast cancer (MBC) who were hospitalized in the Breast Cancer Center at Chongqing University between January 2011 and December 2019 were included in the present study. Logistic regression analyses were conducted to identify risk factors for the presence of BCLM. Cox proportional hazard regression models were performed to determine the prognostic factors for the survival of BCLM patients. The correlation between LM and overall survival was assessed by the Kaplan-Meier method. Results In total, 1,228 eligible MBC patients, including 325 cases (26.5%) with de novo metastasis (cohort A) and 903 cases (73.5%) with relapsed metastasis (cohort B), were enrolled in the present study. In cohort A and cohort B, 81 (24.9%) and 226 (25.0%) patients had BCLM, respectively. Patients in these two cohorts had different clinicopathological features. Logistic regression analysis identified that the human epidermal growth factor receptor 2 (HER2) status in cohort A as well as the HER2 status and invasive ductal carcinoma histology in cohort B were risk factors for BCLM. The median OS of patients with LM was inferior to that of non-LM patients (17.1 vs. 37.7 months, P = 0.0004 and 47.6 vs. 84.0 months, P < 0.0001, respectively). Cox analysis identified that the primary T stage, Ki67 level, and breast surgery history were independent prognostic factors for cohorts A and B, respectively. Conclusions De novo and relapsed MBC patients have different risk and prognostic factors for LM. Patients with BCLM have an unfavorable prognosis.
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Affiliation(s)
- Ningning Zhang
- Department of Breast Cancer Center, Chongqing University Cancer Hospital, Chongqing, China
| | - Yimei Xiang
- Department of Breast Cancer Center, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Chongqing, China
| | - Qing Shao
- Department of Breast Cancer Center, Chongqing University Cancer Hospital, Chongqing, China
| | - Jing Wu
- Department of Breast Cancer Center, Chongqing University Cancer Hospital, Chongqing, China
| | - Yumin Liu
- Department of Medical Record, Chongqing University Cancer Hospital, Chongqing, China
| | - Hua Long
- Department of Medical Record, Chongqing University Cancer Hospital, Chongqing, China
| | - Dan Tao
- Department of Radiation Oncology, Chongqing University Cancer Hospital, Chongqing, China
- Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing University Cancer Hospital, Chongqing, China
- *Correspondence: Dan Tao, ; Xiaohua Zeng,
| | - Xiaohua Zeng
- Department of Breast Cancer Center, Chongqing University Cancer Hospital, Chongqing, China
- Department of Breast Cancer Center, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Chongqing, China
- Chongqing Key Laboratory for Intelligent Oncology in Breast Cancer (iCQBC), Chongqing University Cancer Hospital, Chongqing, China
- *Correspondence: Dan Tao, ; Xiaohua Zeng,
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18
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Clèries R, Ameijide A, Buxó M, Vilardell M, Martínez JM, Font R, Marcos-Gragera R, Puigdemont M, Viñas G, Carulla M, Espinàs JA, Galceran J, Izquierdo Á, Borràs JM. Ten-Year Probabilities of Death Due to Cancer and Cardiovascular Disease among Breast Cancer Patients Diagnosed in North-Eastern Spain. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 20:405. [PMID: 36612726 PMCID: PMC9819018 DOI: 10.3390/ijerph20010405] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Revised: 12/21/2022] [Accepted: 12/23/2022] [Indexed: 06/17/2023]
Abstract
Mortality from cardiovascular disease (CVD), second tumours, and other causes is of clinical interest in the long-term follow-up of breast cancer (BC) patients. Using a cohort of BC patients (N = 6758) from the cancer registries of Girona and Tarragona (north-eastern Spain), we studied the 10-year probabilities of death due to BC, other cancers, and CVD according to stage at diagnosis and hormone receptor (HR) status. Among the non-BC causes of death (N = 720), CVD (N = 218) surpassed other cancers (N = 196). The BC cohort presented a significantly higher risk of death due to endometrial and ovarian cancers than the general population. In Stage I, HR- patients showed a 1.72-fold higher probability of all-cause death and a 6.11-fold higher probability of breast cancer death than HR+ patients. In Stages II-III, the probability of CVD death (range 3.11% to 3.86%) surpassed that of other cancers (range 0.54% to 3.11%). In Stage IV patients, the probability of death from any cancer drove the mortality risk. Promoting screening and preventive measures in BC patients are warranted, since long-term control should encompass early detection of second neoplasms, ruling out the possibility of late recurrence. In patients diagnosed in Stages II-III at an older age, surveillance for preventing late cardiotoxicity is crucial.
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Affiliation(s)
- Ramon Clèries
- Pla Director d’Oncología, Av Gran Vía 199-203, 08908 L’Hospitalet de Llobregat, Barcelona, Spain
- Bellvitge Biomedical Research Institute, IDIBELL, Av. Gran Via de l’Hospitalet, 199-203-1a planta, 08908 L’Hospitalet de Llobregat, Barcelona, Spain
- Clinical Sciences Department, Universitat de Barcelona, 08907 Barcelona, Spain
| | - Alberto Ameijide
- Tarragona Cancer Registry, Epidemiology and Cancer Prevention Service, Hospital Universitari Sant Joan de Reus, IISPV, 43204 Reus, Spain
| | - Maria Buxó
- Girona Biomedical Research Institute, IDIBGI, C/Dr. Castany s/n, Edifici M2, Parc Hospitalari Martí i Julià, 17190 Salt, Spain
| | | | - José Miguel Martínez
- Statistics and Operational Research Department, Universitat Politècnica de Catalunya, EDIFICI H, Diagonal 647, 08028 Barcelona, Spain
- Public Health Research Group, University of Alicante, 03690 Alicante, Spain
| | - Rebeca Font
- Pla Director d’Oncología, Av Gran Vía 199-203, 08908 L’Hospitalet de Llobregat, Barcelona, Spain
- Bellvitge Biomedical Research Institute, IDIBELL, Av. Gran Via de l’Hospitalet, 199-203-1a planta, 08908 L’Hospitalet de Llobregat, Barcelona, Spain
| | - Rafael Marcos-Gragera
- Girona Biomedical Research Institute, IDIBGI, C/Dr. Castany s/n, Edifici M2, Parc Hospitalari Martí i Julià, 17190 Salt, Spain
- Girona Cancer Registry, Epidemiology Unit, Pla Director d’Oncologia, Institut Català d’Oncología, Group for Descriptive Epidemiology, Genetics and Cancer Prevention, Girona-IDIBGI, 17005 Girona, Spain
- Medical School, Universitat de Girona (UdG), 17071 Girona, Spain
- Epidemiology and Public Health Research Network Centre (CIBERESP), 28029 Madrid, Spain
| | - Montse Puigdemont
- Girona Cancer Registry, Epidemiology Unit, Pla Director d’Oncologia, Institut Català d’Oncología, Group for Descriptive Epidemiology, Genetics and Cancer Prevention, Girona-IDIBGI, 17005 Girona, Spain
| | - Gemma Viñas
- Medical Oncology Service, Catalan Institute of Oncology, Hospital Universitari de Girona “Doctor Josep Trueta”, 17005 Girona, Spain
| | - Marià Carulla
- Tarragona Cancer Registry, Epidemiology and Cancer Prevention Service, Hospital Universitari Sant Joan de Reus, IISPV, 43204 Reus, Spain
| | - Josep Alfons Espinàs
- Pla Director d’Oncología, Av Gran Vía 199-203, 08908 L’Hospitalet de Llobregat, Barcelona, Spain
- Bellvitge Biomedical Research Institute, IDIBELL, Av. Gran Via de l’Hospitalet, 199-203-1a planta, 08908 L’Hospitalet de Llobregat, Barcelona, Spain
| | - Jaume Galceran
- Tarragona Cancer Registry, Epidemiology and Cancer Prevention Service, Hospital Universitari Sant Joan de Reus, IISPV, 43204 Reus, Spain
| | - Ángel Izquierdo
- Girona Cancer Registry, Epidemiology Unit, Pla Director d’Oncologia, Institut Català d’Oncología, Group for Descriptive Epidemiology, Genetics and Cancer Prevention, Girona-IDIBGI, 17005 Girona, Spain
- Medical Oncology Service, Catalan Institute of Oncology, Hospital Universitari de Girona “Doctor Josep Trueta”, 17005 Girona, Spain
| | - Josep Maria Borràs
- Pla Director d’Oncología, Av Gran Vía 199-203, 08908 L’Hospitalet de Llobregat, Barcelona, Spain
- Bellvitge Biomedical Research Institute, IDIBELL, Av. Gran Via de l’Hospitalet, 199-203-1a planta, 08908 L’Hospitalet de Llobregat, Barcelona, Spain
- Clinical Sciences Department, Universitat de Barcelona, 08907 Barcelona, Spain
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19
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Zhang W, Wu S, Liu J, Zhang X, Ma X, Yang C, Cao M, Zhang S, Liu Y. Metastasis patterns and prognosis in young breast cancer patients: A SEER database analysis. Front Oncol 2022; 12:872862. [PMID: 36313697 PMCID: PMC9608743 DOI: 10.3389/fonc.2022.872862] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Accepted: 09/23/2022] [Indexed: 11/25/2022] Open
Abstract
Background There are few studies on young patients with metastatic breast cancer (MBC). This study aims to explore the metastasis pattern and prognosis of young patients with MBC. Methods A total of 6,336 MBC patients diagnosed in the Surveillance, Epidemiology, and End Results (SEER) database from 2010 to 2015 were selected. They were divided into two age groups: the younger group (≤40 years old) and the older group (>40 years old). χ2 test was used to compare clinicopathological characteristics. Survival differences were compared by Kaplan–Meier analysis. Cox regression models were used to determine the prognostic factors affecting survival. Propensity score matching (PSM) was performed to balance the effects of baseline clinicopathological differences. Results Finally, 494 patients (7.8%) who are ≤40 years old and 5,842 patients (92.2%) who are >40 years old were included. In the younger group, the proportion of liver metastasis was significantly higher than that in the older group; the proportion of lung metastasis was significantly lower than that of the older group. Kaplan–Meier analysis showed that the younger group had the best prognosis and the older group had the worst. Youth is an independent protective factor for overall survival (OS). In the younger group, liver metastasis had the best prognosis among all metastatic sites, and the HER2-enriched subtype had the best prognosis among all subtypes. Conclusions The disease in young MBC patients is more aggressive but has a better prognosis, especially in liver metastases and the HER2-enriched subtypes.
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Affiliation(s)
- Weifang Zhang
- Breast Cancer Center, The Fourth Hospital, Hebei Medical University, Shijiazhuang, China
| | - Shang Wu
- Breast Cancer Center, The Fourth Hospital, Hebei Medical University, Shijiazhuang, China
| | - Jinzhao Liu
- The Second Department of Thyroid Breast Surgery, Cangzhou Central Hospital, Cangzhou, China
| | - Xiangmei Zhang
- Research Center, The Fourth Hospital, Hebei Medical University, Shijiazhuang, China
| | - Xindi Ma
- Breast Cancer Center, The Fourth Hospital, Hebei Medical University, Shijiazhuang, China
| | - Chao Yang
- Breast Cancer Center, The Fourth Hospital, Hebei Medical University, Shijiazhuang, China
| | - Miao Cao
- Breast Cancer Center, The Fourth Hospital, Hebei Medical University, Shijiazhuang, China
| | - Shuo Zhang
- Breast Cancer Center, The Fourth Hospital, Hebei Medical University, Shijiazhuang, China
| | - Yunjiang Liu
- Breast Cancer Center, The Fourth Hospital, Hebei Medical University, Shijiazhuang, China
- *Correspondence: Yunjiang Liu,
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20
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Joun I, Nixdorf S, Deng W. Advances in lipid-based nanocarriers for breast cancer metastasis treatment. FRONTIERS IN MEDICAL TECHNOLOGY 2022; 4:893056. [PMID: 36062261 PMCID: PMC9433809 DOI: 10.3389/fmedt.2022.893056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Accepted: 08/02/2022] [Indexed: 11/20/2022] Open
Abstract
Breast cancer (BC) is the most common cancer affecting women worldwide, with over 2 million women diagnosed every year, and close to 8 million women currently alive following a diagnosis of BC in the last 5-years. The side effects such as chemodrug toxicity to healthy tissues and drug resistance severely affect the quality of life of BC patients. To overcome these limitations, many efforts have been made to develop nanomaterial-based drug delivery systems. Among these nanocarriers, lipid-based delivery platforms represented one of the most successful candidates for cancer therapy, improving the safety profile and therapeutic efficacy of encapsulated drugs. In this review we will mainly discuss and summarize the recent advances in such delivery systems for BC metastasis treatment, with a particular focus on targeting the common metastatic sites in bone, brain and lung. We will also provide our perspectives on lipid-based nanocarrier development for future clinical translation.
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Affiliation(s)
- Ingrid Joun
- School of Chemical Engineering, Faculty of Engineering, University of New South Wales, Sydney, NSW, Australia
- Graduate School of Biomedical Engineering, Faculty of Engineering, University of New South Wales, Sydney, NSW, Australia
| | - Sheri Nixdorf
- Graduate School of Biomedical Engineering, Faculty of Engineering, University of New South Wales, Sydney, NSW, Australia
- School of Biomedical Engineering, Faculty of Engineering and IT, University of Technology Sydney, Ultimo, NSW, Australia
| | - Wei Deng
- Graduate School of Biomedical Engineering, Faculty of Engineering, University of New South Wales, Sydney, NSW, Australia
- School of Biomedical Engineering, Faculty of Engineering and IT, University of Technology Sydney, Ultimo, NSW, Australia
- *Correspondence: Wei Deng
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21
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Soran A, Ozbas S, Ozcinar B, Isik A, Dogan L, Senol K, Dag A, Karanlik H, Aytac O, Karadeniz Cakmak G, Dalci K, Dogan M, Sezer YA, Gokgoz S, Ozyar E, Sezgin E. Intervention for Hepatic and Pulmonary Metastases in Breast Cancer Patients: Prospective, Multi-institutional Registry Study-IMET, Protocol MF 14-02. Ann Surg Oncol 2022; 29:6327-6336. [PMID: 35876920 DOI: 10.1245/s10434-022-12239-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Accepted: 07/06/2022] [Indexed: 11/18/2022]
Abstract
BACKGROUND One fourth of early-stage breast cancer cases become metastatic during the follow-up period. Limited metastasis is a metastatic disease condition in which the number of metastatic sites and the extent of the disease both are limited, and the disease is amenable to metastatic intervention. This prospective study aimed to evaluate intervention for limited metastases in the lung, liver, or both. METHODS The study enrolled luminal A/B and/or human epidermal growth factor receptor 2 (HER2)-neu+ patients with operable lung and/or liver metastases in the follow-up assessment after completion of primary breast cancer treatment and patients with a diagnosis of metastasis after 2014. Demographic, clinical, tumor-specific, and metastasis detection-free interval (MDFI) data were collected. Bone metastasis in addition to lung and liver metastases also was included in the analysis. The patients were divided into two groups according to the method of treatment for metastases: systemic therapy alone (ST) group or intervention (IT) group. RESULTS Until June 2020, 200 patients were enrolled in the study. The demographic data were similar between the two groups. The median follow-up time was 77 months (range 55-107 months) in the IT group (n = 119; 59.5%) and 57 months (range 39-84) in the ST-only group (n = 81; 40.5%). The median MDFI was 40 months (range 23-70 months) in the IT group, and 35 months (range 13-61 months) in the ST-only group (p = 0.47). The groups had similar surgeries for the primary tumor and axilla. Most of the patients had liver metastases (49.5%, n = 99), and 42% (n = 84) of the patients had lung metastases. Both lung and liver metastases were found in 8.5% (n = 17) of the patients. The primary tumor was estrogen receptor/progesterone receptor-positive in 75% (n = 150) of the patients, and 32% (n = 64) of the patients had HER2-neu+ tumors. Metastatic-site resection was performed for 32% (n = 64) of the patients, and 27.5% (n = 55) of the patients underwent metastatic ablative interventions. In the Kaplan-Meier survival analysis, the hazard of death (HoD) was 56% lower in the IT group than in the ST-only group (hazard ratio [HR], 0.44; 95% confidence interval [CI] 0.26-0.72; p = 0.001). The HoD was lower in the IT group than in the ST-only group for the patients younger than 55 years (HR, 0.32; 95% CI 0.17-0.62; p = 0.0007). In the multivariable Cox regression model, HoD was significantly lower for the patients who underwent intervention for metastases and had an MDFI longer than 24 months, but their liver metastases doubled the risk of death compared with lung metastases. CONCLUSION Metastasis-directed interventions have reduced the risk of death for patients with limited lung/liver metastases who are amenable to interventions after completion of primary cancer treatment. For a select group of patients, such as those with luminal A/B or HER2-neu+ breast cancer who are younger than 55 years with limited metastases to the lung and liver or an MDFI longer than 24 months, surgical or ablative therapy for metastases should be considered and discussed on tumor boards.
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Affiliation(s)
- Atilla Soran
- Division of Surgical Oncology, Breast Surgical Oncology, UPMC Magee-Womens Hospital, University of Pittsburgh Medical Center (UPMC), Pittsburgh, PA, USA.
| | - S Ozbas
- Breast Surgery, Private Practice, Ankara, Turkey
| | - B Ozcinar
- General Surgery Department, Istanbul University Faculty of Medicine, Istanbul, Turkey
| | - A Isik
- General Surgery Department, Training and Research Hospital, Medeniyet University Goztepe, Istanbul, Turkey
| | - L Dogan
- Department of Surgical Oncology, Ankara Oncology Training and Research Hospital, University of Health Sciences, Ankara, Turkey
| | - K Senol
- General Surgery Department, Uludag University Faculty of Medicine, Bursa, Turkey
| | - A Dag
- General Surgery Department, Mersin University Faculty of Medicine, Mersin, Turkey
| | - H Karanlik
- Surgical Oncology Unit, Istanbul University Institute of Oncology, Istanbul, Turkey.,Breast Oncology Unit, American Hospital, Istanbul, Turkey
| | - O Aytac
- General Surgery Department, Baskent University Faculty of Medicine, Adana, Turkey
| | - G Karadeniz Cakmak
- General Surgery Department, Zonguldak Bulent Ecevit University, Faculty of Medicine, Zonguldak, Turkey
| | - K Dalci
- General Surgery Department, Cukurova University Faculty of Medicine, Adana, Turkey
| | - M Dogan
- Department of Medical Oncology, Ankara Oncology Training and Research Hospital, University of Health Sciences, Ankara, Turkey
| | - Y A Sezer
- Department of Medical Oncology, Ankara Oncology Training and Research Hospital, University of Health Sciences, Ankara, Turkey
| | - S Gokgoz
- General Surgery Department, Uludag University Faculty of Medicine, Bursa, Turkey
| | - E Ozyar
- Department of Radiation Oncology, Acibadem Hospitals Group, Istanbul, Turkey
| | - E Sezgin
- Department of Food Engineering, Izmir Institute of Technology, Izmir, Turkey
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22
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Zuo Q, Park NH, Lee JK, Madak Erdogan Z. Liver Metastatic Breast Cancer: Epidemiology, Dietary Interventions, and Related Metabolism. Nutrients 2022; 14:2376. [PMID: 35745105 PMCID: PMC9228756 DOI: 10.3390/nu14122376] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Revised: 05/22/2022] [Accepted: 05/28/2022] [Indexed: 02/06/2023] Open
Abstract
The median overall survival of patients with metastatic breast cancer is only 2-3 years, and for patients with untreated liver metastasis, it is as short as 4-8 months. Improving the survival of women with breast cancer requires more effective anti-cancer strategies, especially for metastatic disease. Nutrients can influence tumor microenvironments, and cancer metabolism can be manipulated via a dietary modification to enhance anti-cancer strategies. Yet, there are no standard evidence-based recommendations for diet therapies before or during cancer treatment, and few studies provide definitive data that certain diets can mediate tumor progression or therapeutic effectiveness in human cancer. This review focuses on metastatic breast cancer, in particular liver metastatic forms, and recent studies on the impact of diets on disease progression and treatment.
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Affiliation(s)
- Qianying Zuo
- Department of Food Science and Human Nutrition, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA; (Q.Z.); (N.H.P.)
| | - Nicole Hwajin Park
- Department of Food Science and Human Nutrition, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA; (Q.Z.); (N.H.P.)
| | - Jenna Kathryn Lee
- Department of Neuroscience, Northwestern University, Evanston, IL 60208, USA;
| | - Zeynep Madak Erdogan
- Department of Food Science and Human Nutrition, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA; (Q.Z.); (N.H.P.)
- Division of Nutritional Sciences, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
- Cancer Center at Illinois, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
- Carl R. Woese Institute of Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
- Department of Biomedical and Translational Sciences, Carle-Illinois College of Medicine, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
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23
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Xiong M, Liu Z, Lv W, Zhao C, Wang Y, Tan Y, Zhang Q, Wu Y, Zeng H. Breast Reconstruction Does Not Affect the Survival of Patients with Breast Cancer Located in the Central and Nipple Portion: A Surveillance, Epidemiology, and End Results Database Analysis. Front Surg 2022; 9:855999. [PMID: 36034397 PMCID: PMC9406515 DOI: 10.3389/fsurg.2022.855999] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2022] [Accepted: 04/25/2022] [Indexed: 11/13/2022] Open
Abstract
Background Tumors in the central and nipple portion (TCNP) are associated with poor prognosis and aggressive clinicopathological characteristics. The availability and safety of postmastectomy reconstruction in breast cancer patients with TCNP have still not been deeply explored. It is necessary to investigate whether reconstruction is appropriate for TCNP compared with non-reconstruction therapy in terms of survival outcomes. Methods Using the Surveillance, Epidemiology, and End Results (SEER) database, we enrolled TCNP patients diagnosed between the years 2010 and 2016. The propensity score matching (PSM) technique was applied to construct a matched sample consisting of pairs of non-reconstruction and reconstruction groups. Survival analysis was performed with the Kaplan–Meier method. Univariate and multivariate Cox proportional hazard models were applied to estimate the factors associated with breast cancer-specific survival (BCSS) and overall survival (OS). Results In the overall cohort, a total of 6,002 patients were enrolled. The patients in the reconstruction group showed significantly better BCSS (log-rank, p < 0.01) and OS (log-rank, p < 0.01) than those in the non-reconstruction group (832 patients) after PSM. However, the multivariate Cox regression model revealed that breast reconstruction was not associated with worse BCSS and OS of TCNP patients. Conclusion Our study provided a new perspective showing that breast reconstruction did not affect the survival and disease prognosis in the cohort of TCNP patients from SEER databases, compared with non-reconstruction. This finding provides further survival evidence supporting the practice of postmastectomy reconstruction for suitable TCNP patients, especially those with a strong willingness for breast reconstruction.
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Affiliation(s)
| | | | | | | | | | | | - Qi Zhang
- Correspondence: Qi Zhang Yiping Wu Hong Zeng
| | - Yiping Wu
- Correspondence: Qi Zhang Yiping Wu Hong Zeng
| | - Hong Zeng
- Correspondence: Qi Zhang Yiping Wu Hong Zeng
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24
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He M, Hu Y, Wang D, Sun M, Li H, Yan P, Meng Y, Zhang R, Li L, Yu D, Wang X. Value of CT-Based Radiomics in Predicating the Efficacy of Anti-HER2 Therapy for Patients With Liver Metastases From Breast Cancer. Front Oncol 2022; 12:852809. [PMID: 35463302 PMCID: PMC9021495 DOI: 10.3389/fonc.2022.852809] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Accepted: 02/24/2022] [Indexed: 12/09/2022] Open
Abstract
Objective This study aims to assess the performance of machine learning (ML)-based contrast-enhanced CT radiomics analysis for predicating the efficacy of anti-HER2 therapy for patients with liver metastases from breast cancer. Methods This retrospective study analyzed 83 patients with breast cancer liver metastases. Radiomics features were extracted from arterial phase, portal venous phase, and delayed phase images, respectively. The intraclass correlation coefficient (ICC) was calculated to quantify the reproducibility of features. The training and validation sets consisted of 58 and 25 cases. Variance threshold, SelectKBest, and LASSO logistic regression model were employed for feature selection. The ML classifiers were K-nearest-neighbor algorithm (KNN), support vector machine (SVM), XGBoost, RF, LR, and DT, and the performance of classifiers was evaluated by ROC analysis. Results The SVM classifier had the highest score in portal venous phase. The results were as follows: The AUC value of the poor prognosis group in validation set was 0.865, the sensitivity was 0.77, and the specificity was 0.83. The AUC value of the good prognosis group in validation set was 0.865, the sensitivity was 0.83, and the specificity was 0.77. In arterial phase, the XGBoost classifier had the highest score. The AUC value of the poor prognosis group in validation set was 0.601, the sensitivity was 0.69, and the specificity was 0.38. The AUC value of the good prognosis group in validation set was 0.601, the sensitivity was 0.38, and the specificity was 0.69. The LR classifier had the highest score in delayed phase. The AUC value of poor prognosis group in validation set was 0.628, the sensitivity was 0.62, and the specificity was 0.67. The AUC value of the good prognosis group in validation set was 0.628, the sensitivity was 0.67, and the specificity was 0.62. Conclusion Radiomics analysis represents a promising tool in predicating the efficacy of anti-HER2 therapy for patients with liver metastases from breast cancer. The ROI in portal venous phase is most suitable for predicting the efficacy of anti-HER2 therapy, and the SVM algorithm model has the best efficiency.
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Affiliation(s)
- Miao He
- Department of Oncology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Yu Hu
- Department of Oncology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Dongdong Wang
- Department of Radiology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Meili Sun
- Department of Oncology, Jinan Central Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.,Department of Oncology, Central Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Huijie Li
- Department of Oncology, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Peng Yan
- Department of Oncology, Jinan Central Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.,Department of Oncology, Central Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Yingxu Meng
- Department of Comprehensive Section of Medical Affairs, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Ran Zhang
- Huiying Medical Technology Co. Ltd, Beijing, China
| | - Li Li
- Department of Oncology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Dexin Yu
- Department of Radiology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Xiuwen Wang
- Department of Oncology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
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25
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Bhaludin BN, Tunariu N, Koh DM, Messiou C, Okines AF, McGrath SE, Ring AE, Parton MM, Sharma B, Gagliardi T, Allen SD, Pope R, Johnston SRD, Downey K. A review on the added value of whole-body MRI in metastatic lobular breast cancer. Eur Radiol 2022; 32:6514-6525. [PMID: 35384456 DOI: 10.1007/s00330-022-08714-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Revised: 03/02/2022] [Accepted: 03/04/2022] [Indexed: 12/01/2022]
Abstract
Invasive lobular breast carcinomas (ILC) account for approximately 15% of breast cancer diagnoses. They can be difficult to diagnose both clinically and radiologically, due to their infiltrative growth pattern. The pattern of metastasis of ILC is unusual, with spread to the serosal surfaces (pleura and peritoneum), retroperitoneum and gastrointestinal (GI)/genitourinary (GU) tracts and a higher rate of leptomeningeal spread than IDC. Routine staging and response assessment with computed tomography (CT) can be undertaken quickly and measurements can be reproduced easily, but this is challenging with metastatic ILC as bone-only/bone-predominant patterns are frequently seen and assessment of the disease status is limited in these scenarios. Functional imaging such as whole-body MRI (WBMRI) allows the assessment of bone and soft tissue disease by providing functional information related to differences in cellular density between malignant and benign tissues. A number of recent studies have shown that WBMRI can detect additional sites of disease in metastatic breast cancer (MBC), resulting in a change in systemic anti-cancer therapy. Although WBMRI and fluorodeoxyglucose-positron-emission tomography-computed tomography (FDG-PET/CT) have a comparable performance in the assessment of MBC, WBMRI can be particularly valuable as a proportion of ILC are non-FDG-avid, resulting in the underestimation of the disease extent. In this review, we explore the added value of WBMRI in the evaluation of metastatic ILC and compare it with other imaging modalities such as CT and FDG-PET/CT. We also discuss the spectrum of WBMRI findings of the different metastatic sites of ILC with CT and FDG-PET/CT correlation. KEY POINTS: • ILC has an unusual pattern of spread compared to IDC, with metastases to the peritoneum, retroperitoneum and GI and GU tracts, but the bones and liver are the commonest sites. • WBMRI allows functional assessment of metastatic disease, particularly in bone-only and bone-predominant metastatic cancers such as ILC where evaluation with CT can be challenging and limited. • WBMRI can detect more sites of disease compared with CT, can reveal disease progression earlier and provides the opportunity to change ineffective systemic treatment sooner.
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Affiliation(s)
- Basrull N Bhaludin
- Department of Radiology, The Royal Marsden Hospital, 203 Fulham Rd, London, England, SW3 6JJ, UK.
| | - Nina Tunariu
- Department of Radiology, The Royal Marsden Hospital, Downs Rd, Sutton, England, SM2 5PT, UK.,Institute of Cancer Research, London, UK
| | - Dow-Mu Koh
- Department of Radiology, The Royal Marsden Hospital, Downs Rd, Sutton, England, SM2 5PT, UK.,Institute of Cancer Research, London, UK
| | - Christina Messiou
- Department of Radiology, The Royal Marsden Hospital, Downs Rd, Sutton, England, SM2 5PT, UK.,Institute of Cancer Research, London, UK
| | - Alicia F Okines
- Breast Unit, The Royal Marsden Hospital, 203 Fulham Rd, London, England, SW3 6JJ, UK
| | - Sophie E McGrath
- Breast Unit, The Royal Marsden Hospital, Downs Rd, Sutton, England, SM2 5PT, UK
| | - Alistair E Ring
- Breast Unit, The Royal Marsden Hospital, Downs Rd, Sutton, England, SM2 5PT, UK
| | - Marina M Parton
- Breast Unit, The Royal Marsden Hospital, 203 Fulham Rd, London, England, SW3 6JJ, UK
| | - Bhupinder Sharma
- Department of Radiology, The Royal Marsden Hospital, 203 Fulham Rd, London, England, SW3 6JJ, UK
| | - Tanja Gagliardi
- Department of Radiology, The Royal Marsden Hospital, 203 Fulham Rd, London, England, SW3 6JJ, UK
| | - Steven D Allen
- Department of Radiology, The Royal Marsden Hospital, 203 Fulham Rd, London, England, SW3 6JJ, UK
| | - Romney Pope
- Department of Radiology, The Royal Marsden Hospital, 203 Fulham Rd, London, England, SW3 6JJ, UK
| | - Stephen R D Johnston
- Breast Unit, The Royal Marsden Hospital, 203 Fulham Rd, London, England, SW3 6JJ, UK
| | - Kate Downey
- Department of Radiology, The Royal Marsden Hospital, 203 Fulham Rd, London, England, SW3 6JJ, UK
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26
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Hattori M, Novick D, Takaura K, Tanizawa Y, Kawaguchi T, Haro JM, Monistrol-Mula A, Onishi A, Iwata H. A systematic literature review of prognostic factors in patients with HR+/HER2- advanced breast cancer in Japan. Jpn J Clin Oncol 2021; 51:1498-1508. [PMID: 34417808 PMCID: PMC8491537 DOI: 10.1093/jjco/hyab131] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Accepted: 07/28/2021] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Breast cancer is the most prevalent cancer in women in Japan and the fifth in mortality. This systematic review summarized the evidence for prognostic factors for patients with HR+/HER2- advanced and metastatic breast cancer in Japan. METHODS MEDLINE and EMBASE were searched with keywords 'breast neoplasms' AND 'Japan' AND 'advanced' or equivalent, and Japan Medical Abstract Society database with 'breast cancer' AND 'advanced/metastatic' for publications from January 2010 to October 2019. ASCO, ESMO, ABC4 abstracts and WHO website were hand searched. The endpoints of interest were overall survival, progression-free survival, tumour response and post-progression survival. Factors were evaluated based on the consistency in direction and the strength (hazard ratios) of association. RESULTS Searches identified 4530 publications, of which 27 were eligible. All were observational studies. Among the endpoints, overall survival was the most commonly assessed (n = 22) and evaluated further. Ki-67 expression, progesterone receptor expression status, tumour grade and lymph node metastases were consistently associated with poor overall survival in univariate analysis but not in multivariate analysis. Short disease-free interval, the number of metastatic organs and liver metastasis were consistently associated with poor overall survival in both of univariate and multivariate analysis. The association was strong for liver metastasis (hazard ratio ≥2.8 in the majority of studies) and moderate for disease-free interval and the number of metastatic organs (hazard ratio 1.3-2.8 in the majority of studies). CONCLUSIONS Disease-free interval, the number of metastatic organs and liver metastasis were identified as independent prognostic factors for overall survival. These findings may help clinical decision-making to improve outcomes in patients with HR+/HER2- advanced and metastatic breast cancer.
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Affiliation(s)
- Masaya Hattori
- Department of Breast Oncology, Aichi Cancer Center, Nagoya, Japan
| | - Diego Novick
- For reprints and all correspondence: Diego Novick, Eli Lilly and Company, Windlesham, UK. E-mail:
| | | | | | | | - Josep Maria Haro
- Group of Epidemiology of Mental Disorders and Ageing, Institut de Recerca Sant Joan de Déu (IRSJD), CIBERSAM, Universitat de Barcelona, Barcelona, Spain
| | - Anna Monistrol-Mula
- Group of Epidemiology of Mental Disorders and Ageing, Institut de Recerca Sant Joan de Déu (IRSJD), CIBERSAM, Universitat de Barcelona, Barcelona, Spain
| | - Akira Onishi
- Department of Rheumatology and Clinical Immunology, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Hiroji Iwata
- Department of Breast Oncology, Aichi Cancer Center, Nagoya, Japan
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Xiong Y, Shi X, Hu Q, Wu X, Long E, Bian Y. A Nomogram for Predicting Survival in Patients With Breast Cancer Liver Metastasis: A Population-Based Study. Front Oncol 2021; 11:600768. [PMID: 34150607 PMCID: PMC8206538 DOI: 10.3389/fonc.2021.600768] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Accepted: 04/23/2021] [Indexed: 12/29/2022] Open
Abstract
Objective The prognosis of patients with breast cancer liver metastasis (BCLM) was poor. We aimed at constructing a nomogram to predict overall survival (OS) for BCLM patients using the SEER (Surveillance Epidemiology and End Results) database, thus choosing an optimized therapeutic regimen to treat. Methods We identified 1173 patients with BCLM from the SEER database and randomly divided them into training (n=824) and testing (n=349) cohorts. The Cox proportional hazards model was applied to identify independent prognostic factors for BCLM, based on which a nomogram was constructed to predict 1-, 2-, and 3-year OS. Its discrimination and calibration were evaluated by the Concordance index (C-index) and calibration plots, while the accuracy and benefits were assessed by comparing it to AJCC-TNM staging system using the decision curve analysis (DCA). Kaplan-Meier survival analyses were applied to test the clinical utility of the risk stratification system. Results Grade, marital status, surgery, radiation therapy, chemotherapy, CS tumor size, tumor subtypes, bone metastatic, brain metastatic, and lung metastatic were identified to be independent prognostic factors of OS. In comparison with the AJCC-TNM staging system, an improved C-index was obtained (training group: 0.701 vs. 0.557, validation group: 0.634 vs. 0.557). The calibration curves were consistent between nomogram-predicted survival probability and actual survival probability. Additionally, the DCA curves yielded larger net benefits than the AJCC-TNM staging system. Finally, the risk stratification system can significantly distinguish the ones with different survival risk based on the different molecular subtypes. Conclusion We have successfully built an effective nomogram and risk stratification system to predict OS in BCLM patients, which can assist clinicians in choosing the appropriate treatment strategies for individual BCLM patients.
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Affiliation(s)
- Yu Xiong
- Personalized Drug Therapy Key Laboratory of Sichuan Province, Department of Pharmacy, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Xia Shi
- Personalized Drug Therapy Key Laboratory of Sichuan Province, Department of Pharmacy, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Qi Hu
- Personalized Drug Therapy Key Laboratory of Sichuan Province, Department of Pharmacy, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Xingwei Wu
- Personalized Drug Therapy Key Laboratory of Sichuan Province, Department of Pharmacy, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Enwu Long
- Personalized Drug Therapy Key Laboratory of Sichuan Province, Department of Pharmacy, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Yuan Bian
- Personalized Drug Therapy Key Laboratory of Sichuan Province, Department of Pharmacy, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
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