1
|
Le Scodan R, Ghannam Y, Kirova Y, Bourgier C, Richard Tallet A. Radiation therapy of the primary tumour and oligometastatic sites in patients with breast cancer with synchronous metastases: A literature review. Cancer Radiother 2024; 28:3-14. [PMID: 38065784 DOI: 10.1016/j.canrad.2023.08.007] [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: 02/09/2023] [Revised: 08/27/2023] [Accepted: 08/29/2023] [Indexed: 02/04/2024]
Abstract
De novo metastatic breast cancer represents 5 to 8% of all breast cancers (2500 new cases per year in France). Systemic treatment is the cornerstone of treatment, whereas radiation therapy usually has a palliative intent. Advances in systemic and local treatments (surgery and radiation therapy) have substantially improved overall survival. In the recent breast cancer statistics in the United States, the 5-year relative survival for patients diagnosed during 2012-2018 was 29% for stage IV (Breast Cancer Statistics). Thus, an increasing proportion of metastatic breast cancers present a prolonged complete response to systemic therapy, which raises the question of the impact of local treatment on patient survival. Radiation therapy has shown its value for early breast cancer, but its place in the local management of the primary tumour or oligometastatic sites for de novo metastatic breast cancer remains under debate. This article is a literature review assessing the role of radiation therapy directed to the primary tumour and oligometastatic sites of breast cancer in patients with synchronous metastases, in order to highlight clinicians in their therapeutic decision.
Collapse
Affiliation(s)
- R Le Scodan
- Institut de cancérologie et radiothérapie brétillien (ICRB), hôpitaux privés rennais, centre hospitalier privé Saint-Grégoire, Vivalto, Saint-Grégoire, France.
| | - Y Ghannam
- Département de radiothérapie, institut de cancérologie de l'Ouest Paul-Papin, Angers, France
| | - Y Kirova
- Département de radiothérapie, institut Curie, Paris, France
| | - C Bourgier
- Université de Montpellier, Montpellier, France; Institut de recherche en cancérologie de Montpellier (IRCM), Inserm U1194, Montpellier, France; Fédération universitaire d'oncologie radiothérapie d'Occitanie Méditerranée, institut régional du cancer Montpellier (ICM), Montpellier, France
| | - A Richard Tallet
- Département d'oncologie radiothérapie, institut Paoli-Calmettes, Marseille, France; Centre de recherche en cancérologie de Marseille (CRCM), Inserm UMR 1068, Marseille, France
| |
Collapse
|
2
|
Ren C, Sun J, Kong L, Wang H. Breast surgery for patients with de novo metastatic breast cancer: A meta-analysis of randomized controlled trials. EUROPEAN JOURNAL OF SURGICAL ONCOLOGY 2024; 50:107308. [PMID: 38048724 DOI: 10.1016/j.ejso.2023.107308] [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: 04/27/2023] [Revised: 11/13/2023] [Accepted: 11/27/2023] [Indexed: 12/06/2023]
Abstract
The role of breast surgery in the treatment of patients with de novo metastatic breast cancer(dnMBC) remains controversial, with conflicting trial results. We did a meta-analysis to comprehensively investigate and assess whether breast surgery is associated with survival and quality of life outcomes in patients with dnMBC.We systematically searched PubMed, Embase, Google Scholar, Scopus, and Web of Science, from database inception to March 30, 2022, for randomized controlled trials(RCTs) that compared breast surgery or locoregional therapy with non-surgical treatment based on systemic therapy for managing dnMBC.We also reviewed abstracts and presentations from major conference proceedings. We excluded non-randomised trials and considered only papers published in English. The primary outcomes were overall survival(OS),locoregional progression-free survival(LPFS), distant progression-free survival(DPFS), and quality of life(QoL). The quality of RCTs was appraised with the Cochrane Collaboration risk of bias tool. Random-effects model or fixed effects model were used to calculate the effect sizes of included RCTs.Quality of evidence was assessed with GRADE criteria. Data analysis was performed with STATA 17.0. A total of 1018 women from seven randomized clinical trials were included in the analysis. Pooled analyses revealed that compared with systemic therapy, breast surgery was not associated with beneficial outcomes in OS(hazard ratio [HR],0.87; 95%CI,0.68 to 1.11; I2 = 53.08 %; p = 0.265),DPFS(HR,1.20; 95%CI,0.94 to 1.54; I2 = 86.45 %; p = 0.136), or QoL-global health status (standardized mean difference[SMD],0.08; 95%CI,-0.15 to 0.32; I2 = 79.45 %; p = 0.478) and QoL-mental-physical functionality(SMD,-0.19; 95%CI,-0.50 to 0.13; I2 = 0.00 %; p = 0.255), but was associated with a benefit in LPFS(HR,0.27; 95%CI,0.19 to 0.38; I2 = 84.16 %; p < 0.001). These findings were consistent in subgroup analyses of the timing of surgery, site and number of metastases and tumor molecular subtype. The evidence grade was moderate because of the substantial heterogeneity among studies. Based on the RCTs evidence, we found that breast surgery may benefit locoregional control but does not prolong OS and improve QoL in patients with dnMBC. The Prospero registration number: CRD42020206460.
Collapse
Affiliation(s)
- Chongxi Ren
- Department of Surgical Oncology, Hebei Cangzhou Hospital of Integrated Traditional Chinese and Western Medicine, Cang Zhou, 061001, China.
| | - Jianna Sun
- Department of Breast Cancer Center, Hebei Cangzhou Hospital of Integrated Traditional Chinese Medicine and Western Medicine, Cang Zhou, 061001, China
| | - Lingjun Kong
- Department of Neurosurgery, Hebei Cangzhou Hospital of Integrated Traditional Chinese and Western Medicine, Cang Zhou, 061001, China
| | - Hongqiao Wang
- Department of Surgical Oncology, Hebei Cangzhou Hospital of Integrated Traditional Chinese and Western Medicine, Cang Zhou, 061001, China
| |
Collapse
|
3
|
Tong Y, Xu S, Jiang L, Zhao C, Zhao D. A visualized model for identifying optimal candidates for aggressive locoregional surgical treatment in patients with bone metastases from breast cancer. Front Endocrinol (Lausanne) 2023; 14:1266679. [PMID: 37867528 PMCID: PMC10585269 DOI: 10.3389/fendo.2023.1266679] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 09/18/2023] [Indexed: 10/24/2023] Open
Abstract
Background The impact of surgical resection of primary (PTR) on the survival of breast cancer (BC) patients with bone metastasis (BM) has been preliminarily investigated, but it remains unclear which patients are suitable for this procedure. Finally, this study aims to develop a predictive model to screen BC patients with BM who would benefit from local surgery. Methods BC patients with BM were identified using the Surveillance, Epidemiology, and End Results (SEER) database (2010 and 2015), and 39 patients were obtained for external validation from an Asian medical center. According to the status of local surgery, patients were divided into Surgery and Non-surgery groups. Propensity score matching (PSM) analysis was performed to reduce selection bias. Kaplan-Meier (K-M) survival and Cox regression analyses were conducted before and after PSM to study the survival difference between the two groups. The survival outcome and treatment modality were also investigated in patients with different metastatic patterns. The logistic regression analyses were utilized to determine significant surgery-benefit-related predictors, develop a screening nomogram and its online version, and quantify the beneficial probability of local surgery for BC patients with BM. Receiver operating characteristic (ROC) curves, the area under the curves (AUC), and calibration curves were plotted to evaluate the predictive performance and calibration of this model, whereas decision curve analysis (DCA) was used to assess its clinical usefulness. Results This study included 5,625 eligible patients, of whom 2,133 (37.92%) received surgical resection of primary lesions. K-M survival analysis and Cox regression analysis demonstrated that local surgery was independently associated with better survival. Surgery provided significant survival benefits in most subgroups and metastatic patterns. After PSM, patients who received surgery had a longer survival time (OS: 46 months vs. 32 months, p < 0.001; CSS: 50 months vs. 34 months, p < 0.001). Logistic regression analysis determined six significant surgery-benefit-related variables: T stage, radiotherapy, race, liver metastasis, brain metastasis, and breast subtype. These factors were combined to establish the nomogram and a web probability calculator (https://sunshine1.shinyapps.io/DynNomapp/), with an AUC of 0.673 in the training cohort and an AUC of 0.640 in the validation cohort. The calibration curves exhibited excellent agreement. DCA indicated that the nomogram was clinically useful. Based on this model, surgery patients were assigned into two subsets: estimated sur-non-benefit and estimated sur-benefit. Patients in the estimated sur-benefit subset were associated with longer survival (median OS: 64 months vs. 33 months, P < 0.001). Besides, there was no difference in survival between the estimated sur-non-benefit subset and the non-surgery group. Conclusion Our study further confirmed the significance of local surgery in BC patients with BM and proposed a novel tool to identify optimal surgical candidates.
Collapse
Affiliation(s)
- Yuexin Tong
- Department of Orthopedics, The China-Japan Union Hospital of Jilin University, Changchun, Jilin, China
| | - Shaoqing Xu
- Department of Orthopedics, Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Liming Jiang
- Department of Orthopedics, The China-Japan Union Hospital of Jilin University, Changchun, Jilin, China
| | - Chengliang Zhao
- Department of Orthopedics, Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Dongxu Zhao
- Department of Orthopedics, The China-Japan Union Hospital of Jilin University, Changchun, Jilin, China
| |
Collapse
|
4
|
Rodríguez Pérez A, Felip Font E, Chicas-Sett R, Montero-Luis Á, de Paz Arias L, González-Del-Alba A, López-Campos F, López López C, Hernando Requejo O, Conde-Moreno AJ, Arranz Arija JÁ, de Castro Carpeño J. Unravelling oligometastatic disease from the perspective of radiation and medical oncology. Part I: non-small cell lung cancer and breast cancer. Clin Transl Oncol 2023; 25:882-896. [PMID: 36525231 DOI: 10.1007/s12094-022-03011-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Accepted: 11/08/2022] [Indexed: 12/23/2022]
Abstract
Oligometastatic disease (OMD) defines a cancer status that is intermediate between localized and widely spread metastatic disease, and can be treated with curative intent. While diagnostic imaging tools have considerably improved in recent years, unidentified micrometastases can still evade current detection techniques, allowing the disease to progress. The various OMD scenarios are mainly defined by the number of metastases, the biological and molecular tumour profiles, and the timing of the development of metastases. Increasing knowledge has contributed to the earlier and improved detection of OMD, underlining the importance of early disease control. In view of increasing OMD detection rates in current real-world clinical practice and the lack of standardized evidence-based guidelines to treat this cancer status, a board of experts from the Spanish Societies of Radiation Oncology (SEOR) and Medical Oncology (SEOM) organized a series of sessions to update the current state-of-the-art on OMD from a multidisciplinary perspective, and to discuss how results from clinical studies might translate into promising treatment options. This expert review series summarizes what is known and what it is pending clarification in the context of OMD in the scenarios of non-small cell lung cancer and breast cancer (Part I), and prostate cancer and colorectal cancer (Part II), aiming to offer specialists a pragmatic framework to help improve patient management.
Collapse
Affiliation(s)
- Aurora Rodríguez Pérez
- Radiation Oncology Department, Hospital Ruber Internacional, C. de La Masó, 38, 28034, Madrid, Spain.
| | - Enriqueta Felip Font
- Medical Oncology Department, Hospital Universitario del Vall d'Hebron, Barcelona, Spain
| | | | - Ángel Montero-Luis
- Radiation Oncology Department, Hospital Universitario HM Sanchinarro, Madrid, Spain
| | - Laura de Paz Arias
- Medical Oncology Department, Complejo Hospitalario Universitario de Ferrol, A Coruña, Spain
| | | | | | - Carlos López López
- Medical Oncology Department, Hospital Universitario Marqués de Valdecilla, IDIVAL, Santander, Spain
| | | | | | | | | |
Collapse
|
5
|
Xiao M, Zhang P. Conditional cause-specific survival after chemotherapy and local treatment for primary stage IV breast cancer: A population-based study. Front Oncol 2022; 12:800813. [PMID: 36016620 PMCID: PMC9396969 DOI: 10.3389/fonc.2022.800813] [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: 10/24/2021] [Accepted: 07/07/2022] [Indexed: 12/24/2022] Open
Abstract
BackgroundConditional survival (CS) represents the probability of surviving for additional years after the patient has survived for several years, dynamically describing the survival rate of the patient with the varying time of survival. The aim of this study was to evaluate the conditional cause-specific survival (CCSS) after chemotherapy and local treatment for metastatic breast cancer, and to identify the prognostic factors affecting the CCSS.MethodsPatients diagnosed with primary stage IV breast cancer in the Surveillance, Epidemiology, and End Results (SEER) database from 2010 to 2015 were included. CS is defined as the probability of additional survival for y years after the patient had survived x years with the calculation formula CCSS (x | y) = CSS (x + y)/CSS (x), where CSS(x) indicates the patient’s cause-specific survival rate at the time of x years. Cox proportional hazard models were used to evaluate predictors of CCSS.ResultsA total of 3,194 patients were included. The 5-year CSS was 39%, whereas the 5-year CCSS increased to 46%, 57%, 71%, and 85% after the diagnosis of 1, 2, 3, and 4 years. For patients with adverse clinical pathological features, CCSS had more pronounced increase with survival time and is more different from the CSS at diagnosis. No matter at the time of diagnosis or 1 year or 3 years after diagnosis, HER2 status, local treatment, and multisite metastasis were independent prognostic factors that affect the long-term survival of patients (all P < 0.05).ConclusionThe 5-year CCSS of patients with stage IV breast cancer was extended as the survival years increased. HER2 status, multisite metastasis, and local treatment were independent prognostic factors even 3 years after diagnosis.
Collapse
Affiliation(s)
- Min Xiao
- Department of Medical Oncology, National Cancer Center/ Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Department of Intensive Care Unit, Fujian Medical University Cancer Hospital, Fujian Cancer Hospital, Fuzhou, China
| | - Pin Zhang
- Department of Medical Oncology, National Cancer Center/ Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- *Correspondence: Pin Zhang,
| |
Collapse
|
6
|
Xu JY, Chen JN, Lei J, Hu M, Wu SG, Zhou J. Local treatment improves survival in patients with stage IVB cervical cancer. Gynecol Oncol 2022; 165:538-545. [PMID: 35490033 DOI: 10.1016/j.ygyno.2022.04.013] [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: 03/12/2022] [Revised: 04/12/2022] [Accepted: 04/17/2022] [Indexed: 11/30/2022]
Abstract
OBJECTIVE To evaluate the value of local treatment in stage IVB cervical cancer (CC). METHODS Patients diagnosed with stage IVB CC between 2010 and 2015 were included using the data from the Surveillance, Epidemiology, and End Results program. Propensity score matching (PSM) was used to balance the clinicopathological variables of patients. Multivariate Cox regression analyses were performed to analyze the risk factors associated with cause-specific survival (CSS). RESULTS We identified 960 patients in this study, all patients had received chemotherapy. Of these patients, 818 patients were treated with local treatment (85.2%), including 724 (88.5%) and 94 (11.5%) patients receiving radiotherapy (RT) alone and surgery ± RT, respectively. Local treatment was the independent prognostic factor associated with better CSS. Before PSM, patients who received RT (hazard ratio [HR] 0.633, 95% confidence interval [CI] 0.517-0.775, P < 0.001) or surgery (HR 0.391, 95% CI 0.277-0.552, P < 0.001) were independently associated with a better CSS compared to those with no local treatment. The 3-years CSS rate was 14.4%, 32.4%, and 54.8% in no local treatment, RT alone, and surgery groups, respectively (P < 0.001). Similar results were found after PSM. Patients receiving RT (HR 0.643, 95% CI 0.436-0.947, P = 0.025) and surgery (HR 0.146, 95% CI 0.052-0.410, P < 0.001) had better CSS compared to patients with no local treatment after PSM. While similar CSS was shown between RT alone cohort and the surgery cohort (HR 0.756, 95% CI 0.454-1.260, P = 0.284). CONCLUSIONS The addition of local surgery or RT to chemotherapy appears to confer improved survival outcomes in patients with stage IVB CC.
Collapse
Affiliation(s)
- Jing-Ying Xu
- Department of Obstetrics and Gynecology, the First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen 361003, People's Republic of China
| | - Jun-Ni Chen
- Department of Radiation Oncology, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), Haikou 570311, People's Republic of China
| | - Jian Lei
- Department of Obstetrics and Gynecology, the First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen 361003, People's Republic of China
| | - Min Hu
- Department of Obstetrics and Gynecology, the First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen 361003, People's Republic of China
| | - San-Gang Wu
- Department of Radiation Oncology, Xiamen Cancer Center, Xiamen Key Laboratory of Radiation Oncology, the First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen 361003, People's Republic of China.
| | - Juan Zhou
- Department of Obstetrics and Gynecology, the First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen 361003, People's Republic of China.
| |
Collapse
|