Risk factors for local recurrence in breast cancer after breast conserving therapy (BCT) differ from those for local recurrence after mastectomy. To better guide optimal treatment of individual patients, it is desirable to identify patients at high risk for local recurrence. Several clinical and histopathologic factors, such as young age and presence of ductal carcinoma in situ, are known to be predictors for local recurrence after BCT. After mastectomy, lymph node status and tumor size are dominant risk factors for local recurrence. The results of recent expression profiling studies have explained differences in prognosis and risk for local recurrence and also explained response to different therapies (adjuvant systemic therapy and radiotherapy). Because of the variation in different subtypes of breast cancer and the difference in amount of tumor burden remaining after surgery, finding robust predictive profiles is complex. In this review, we describe the predictive and prognostic factors for local recurrence after mastectomy and BCT and also describe the role of radiosensitivity in local recurrence.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.semradonc.2011.12.001 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Potentially actionable molecular alterations in particular related to poor oncologic outcomes in salivary gland carcinomas.
BMC Cancer
January 2025
Department of Tumor Biology and Genetics, Medical University of Warsaw, Warsaw, Poland.
Aim: The study was designed to evaluate molecular alterations, relevant to the prognosis and personalized therapy of salivary gland cancers (SGCs).
Materials And Methods: DNA was extracted from archival tissue of 40 patients with various SGCs subtypes. A targeted next-generation sequencing (NGS) panel was used for the identification of small-scale mutations, focal and chromosomal arm-level copy number changes.
High incidence of radiation-induced brain necrosis in the periventricular deep white matter: stereotactic radiotherapy for brain metastases using volumetric modulated arc therapy.
Radiat Oncol
January 2025
Department of Neurosurgery, School of Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan.
Purpose: In this retrospective study, we aimed to evaluate the efficacy and incidence of radiation-induced brain necrosis (RBN) after volumetric modulated arc therapy-based stereotactic irradiation (VMAT-STI) for brain metastases.
Methods: In the 220 brain metastatic lesions included between January 2020 and June 2022, there were 1-9 concurrently treated lesions (median 1). A biologically effective dose (BED)10 of 80 Gy and a reduced BED10 of 50 Gy were prescribed to the gross tumor volume (GTV) and planning target volume (PTV) (PTV = GTV + 3 mm) margins, respectively.
Low L3 skeletal muscle index and endometrial cancer: a statistic pooling analysis.
BMC Cancer
January 2025
Department of Urology, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Wuhou District, Chengdu, 610041, China.
Objective: Sarcopenia, a condition characterized by the gradual decline of muscle mass, strength, and function, is a key indicator of malnutrition in cancer patients and has been linked to poor prognoses in oncology. Sarcopenia is commonly assessed by measuring the skeletal muscle index (SMI) of the third lumbar spine (L3) using computed tomography (CT). This meta-analysis aimed to explore the relationship between low SMI and clinicopathological features, as well as prognosis, in individuals with endometrial cancer (EC).
View Article and Find Full Text PDFPreoperative radiotherapy combined with surgery versus surgery alone for primary retroperitoneal sarcoma: a meta-analysis.
Sci Rep
January 2025
Department of Neurosurgery, Seoul National University Hospital, 101 Daehak-ro, Jongro-gu, 03080, Seoul, South Korea.
The efficacy of preoperative radiotherapy combined with surgery (preRT + S) for primary retroperitoneal sarcoma (RPS) remains unclear. This study aimed to compare preRT + S with surgery alone (SA) in patients with RPS. Core databases were searched for directly comparative studies depending on preRT.
View Article and Find Full Text PDFBiopsy location and tumor-associated macrophages in predicting malignant glioma recurrence using an in-silico model.
NPJ Syst Biol Appl
January 2025
Center for Interdisciplinary Digital Sciences (CIDS), Department Information Services and High-Performance Computing (ZIH), Dresden University of Technology, 01062, Dresden, Germany.
Predicting the biological behavior and time to recurrence (TTR) of high-grade diffuse gliomas (HGG) after maximum safe neurosurgical resection and combined radiation and chemotherapy plays a pivotal role in planning clinical follow-up, selecting potentially necessary second-line treatment and improving the quality of life for patients diagnosed with a malignant brain tumor. The current standard-of-care (SoC) for HGG includes follow-up neuroradiological imaging to detect recurrence as early as possible and relies on several clinical, neuropathological, and radiological prognostic factors, which have limited accuracy in predicting TTR. In this study, using an in-silico analysis, we aim to improve predictive power for TTR by considering the role of (i) prognostically relevant information available through diagnostics used in the current SoC, (ii) advanced image-based information not currently part of the standard diagnostic workup, such as tumor-normal tissue interface (edge) features and quantitative data specific to biopsy positions within the tumor, and (iii) information on tumor-associated macrophages.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!