☆ 4.2 Letter

Safety of Tamoxifen During Pregnancy: 3 Case Reports and Review of the Literature

BREAST CARE (2013)

期刊

BREAST CARE

卷 8, 期 6, 页码 453-454

出版社

KARGER

DOI: 10.1159/000357321

关键词

Breast cancer; Pregnancy; Tamoxifen

类别

Oncology Obstetrics & Gynecology

向作者/读者索取更多资源

Protocol

Reagent

作者

我是这篇论文的作者

点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.2

评分不足

次要评分

新颖性

-

重要性

-

科学严谨性

-

评价这篇论文

推荐

Article Radiology, Nuclear Medicine & Medical Imaging

Association of Longitudinal Mammographic Breast Density Changes with Subsequent Breast Cancer Risk

Thi Xuan Mai Tran, Soyeoun Kim, Huiyeon Song, Eunhye Lee, Boyoung Park

Summary: Breast density changes over time are associated with breast cancer risk in both premenopausal and postmenopausal women. Continuous increase in breast density increases the future risk of breast cancer, while continuous decrease in breast density is associated with a lower risk.

RADIOLOGY (2023)

添加到收藏夹

Article Biochemistry & Molecular Biology

Metabolic reprograming confers tamoxifen resistance in breast cancer

Alok Mishra, Anshuman Srivastava, Ankit Pateriya, Manendra Singh Tomar, Anand Kumar Mishra, Ashutosh Shrivastava

Summary: Breast cancer is the most common cancer among females, and endocrine therapy for ER-positive breast cancer can result in acquired resistance. The metabolic state of cancer cells plays a crucial role in their susceptibility to chemotherapeutic drugs, and understanding metabolic pathway alterations in TAMR cancer may offer potential therapeutic strategies.

CHEMICO-BIOLOGICAL INTERACTIONS (2021)

添加到收藏夹

Article Oncology

Treatment guideline concordance, initiation, and abandonment in patients with non-metastatic breast cancer from the African Breast Cancer-Disparities in Outcomes (ABC-DO) cohort in sub-Saharan Africa: a prospective cohort study

Milena Foerster, Valerie McCormack, Benjamin O. Anderson, Pauline Boucheron, Annelle Zietsman, Herbert Cubasch, Maureen Joffe, Angelica Anele, Shadrach Offiah, Moses Galukande, Groesbeck Parham, Leeya F. Pinder, Ophira Ginsburg, Joachim Schuez, Isabel dos-Santos-Silva, Eva J. Kantelhardt

Summary: This study examined the treatment initiation, guideline concordance, and abandonment in patients with non-metastatic breast cancer in sub-Saharan Africa, highlighting the need for improved treatment access and completion to prevent premature breast cancer deaths.

LANCET ONCOLOGY (2022)

添加到收藏夹

Editorial Material Medicine, General & Internal

Overcoming Resistance - Omission of Radiotherapy for Low-Risk Breast Cancer

Alice Y. Ho, Jennifer R. Bellon

Summary: In this Journal article, the 10-year results of the anticipated PRIME II trial are reported. The results suggest that omitting radiotherapy after breast-conserving surgery has no impact on survival in women aged 65 or older with low-risk breast cancer. These findings address the issue of overtreatment in older women with low-risk breast cancer.

NEW ENGLAND JOURNAL OF MEDICINE (2023)

添加到收藏夹

Article Medicine, General & Internal

Omitting Radiotherapy after Breast-Conserving Surgery in Luminal A Breast Cancer

Timothy J. Whelan, Sally Smith, Sameer Parpia, Anthony W. Fyles, Anita Bane, Fei-Fei Liu, Eileen Rakovitch, Lynn Chang, Christiaan Stevens, Julie Bowen, Sawyna Provencher, Valerie Theberge, Anna Marie Mulligan, Zuzana Kos, Mohamed A. Akra, K. David Voduc, Tarek Hijal, Ian S. Dayes, Gregory Pond, James R. Wright, Torsten O. Nielsen, Mark N. Levine

Summary: Among women with T1N0 grade 1 or 2 luminal A breast cancer who had undergone breast-conserving surgery and received endocrine therapy, the incidence of local recurrence at 5 years was low without radiotherapy.

NEW ENGLAND JOURNAL OF MEDICINE (2023)

添加到收藏夹

Article Medicine, General & Internal

Association of Breast Cancer Family History With Breast Density Over Time in Korean Women

Thi Xuan Mai Tran, Yoosoo Chang, Soyeoun Kim, Huiyeon Song, Seungho Ryu, Boyoung Park

Summary: This study investigated the association between family history of breast cancer (FHBC) and mammographic breast density and density changes among premenopausal women. The results showed that women with FHBC had higher breast density, and the association varied depending on the affected relatives. These findings emphasize the importance of tailored breast cancer risk assessment for women with FHBC.

JAMA NETWORK OPEN (2023)

添加到收藏夹

Article Oncology

Effect of isoflavones on breast cancer cell development and their impact on breast cancer treatments

Minami Hatono, Hirokuni Ikeda, Yoko Suzuki, Yukiko Kajiwara, Kengo Kawada, Takahiro Tsukioki, Mariko Kochi, Ken Suzawa, Takayuki Iwamoto, Hiromasa Yamamoto, Tadahiko Shien, Masaomi Yamane, Naruto Taira, Hiroyoshi Doihara, Shinichi Toyooka

Summary: Isoflavones metabolite equol has dual effects on breast cancer, promoting tumor growth at low concentrations in hormone receptor-positive cells and exhibiting antitumor effects at high doses. When used with tamoxifen, equol may have antagonistic effects depending on concentration, but does not show antagonistic effects with other therapeutic agents.

BREAST CANCER RESEARCH AND TREATMENT (2021)

添加到收藏夹

Article Oncology

Bisphosphonate Use and Breast Cancer Risk among Women with Ductal Carcinoma In Situ

Christopher Li, Meghan R. Flanagan, Mei-Tzu C. Tang, Peggy L. Porter, Kathleen E. Malone

Summary: This study demonstrates that bisphosphonate use is associated with a lower risk of subsequent invasive breast cancer among women with a history of DCIS, suggesting a potential preventative approach for this high-risk population.

CANCER RESEARCH (2021)

添加到收藏夹

Review Biochemistry & Molecular Biology

Application of chitosan modified nanocarriers in breast cancer

Sunil Kumar Dubey, Tanya Bhatt, Mukta Agrawal, Ranendra Narayan Saha, Swarnlata Saraf, Shailendra Saraf, Amit Alexander

Summary: Breast cancer, one of the most invasive cancers in women with high mortality rates, can potentially be targeted and treated more effectively using chitosan-based nanocarriers, which offer unique advantages in overcoming the limitations of current therapies. Research in this area has been focused on exploring novel techniques and improving targeted therapy for breast cancer, with promising results in recent years.

INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES (2022)

添加到收藏夹

Article Medicine, Research & Experimental

Targeting HMG-CoA synthase 2 suppresses tamoxifen-resistant breast cancer growth by augmenting mitochondrial oxidative stress-mediated cell death

Sewon Hwang, Soojun Park, Jee Hyun Kim, Sang-Beom Bang, Hyeon-Ji Kim, Na-Lee Ka, Yoonae Ko, Seung-Su Kim, Ga Young Lim, Seunghee Lee, Young Kee Shin, So Yeon Park, Sanghee Kim, Mi-Ock Lee

Summary: This study aimed to identify lipid metabolic perturbations in tamoxifen-resistant breast cancer (BC) and investigate the role of HMGCS2 in BC growth. Comprehensive metabolomics and transcriptomics analysis were conducted. The upregulation of HMGCS2 was verified in tamoxifen-resistant BC cells and clinical samples. A HMGCS2 inhibitor was discovered and its effect on tumor growth was studied.

LIFE SCIENCES (2023)

添加到收藏夹

Article Medicine, General & Internal

Breast-Conserving Surgery with or without Irradiation in Early Breast Cancer

Ian H. H. Kunkler, Linda J. J. Williams, Wilma J. L. Jack, David A. A. Cameron, J. Michael Dixon

Summary: This study suggests that omission of radiotherapy in older women with low-risk, hormone receptor-positive early breast cancer may increase the risk of local recurrence, but has no detrimental effect on distant recurrence and overall survival.

NEW ENGLAND JOURNAL OF MEDICINE (2023)

添加到收藏夹

Review Oncology

Clinical CYP2D6 Genotyping to Personalize Adjuvant Tamoxifen Treatment in ER-Positive Breast Cancer Patients: Current Status of a Controversy

Tessa A. M. Mulder, Miriam de With, Marzia del Re, Romano Danesi, Ron H. J. Mathijssen, Ron H. N. van Schaik

Summary: Tamoxifen is a crucial adjuvant endocrine therapy for estrogen receptor (ER)-positive breast cancer patients, with the conversion to the active metabolite endoxifen mainly depending on the CYP2D6 enzyme. Genetic variations in the CYP2D6 gene can impact endoxifen formation and therapy outcomes, though the correlation between CYP2D6 genotype and clinical outcome remains debated. Recent developments from 2018 to 2020 shed light on this ongoing debate.

CANCERS (2021)

添加到收藏夹

Article Biochemical Research Methods

Identifying prognostic subgroups of luminal-A breast cancer using deep autoencoders and gene expressions

Seunghyun Wang, Doheon Lee

Summary: In this study, two prognostic subgroups (BPS-LumA and WPS-LumA) of luminal-A breast cancer were identified using deep autoencoders and gene expressions. The prognostic difference between the two subgroups was validated using external datasets. The study also found that latent features were superior to gene expression profiles in discovering the prognostic subgroups.

PLOS COMPUTATIONAL BIOLOGY (2023)

添加到收藏夹

Article Medicine, General & Internal

Breast Cancer Screening and Prevention

Amy H. Farkas, Ann B. Nattinger

Summary: Breast cancer is the most common cancer among U.S. women, with its incidence increasing with age. Various factors like endogenous estrogen exposure, benign breast disease, breast density, and family history can indicate increased risk for breast cancer. Early detection through screening mammography helps reduce breast cancer mortality, but the benefits vary depending on age. Evaluating a patient's individual risk can guide decisions on breast cancer screening. All women benefit from healthy behaviors that can lower the risk. Women at higher risk may benefit from risk-reducing medications. The use of screening measures, especially among uninsured women, remains suboptimal.

ANNALS OF INTERNAL MEDICINE (2023)

添加到收藏夹

Article Multidisciplinary Sciences

ERα-associated translocations underlie oncogene amplifications in breast cancer

Jake June-Koo Lee, Youngsook Lucy Jung, Taek-Chin Cheong, Jose Espejo Valle-Inclan, Chong Chu, Doga C. Gulhan, Viktor Ljungstrom, Hu Jin, Vinayak V. Viswanadham, Emma V. Watson, Isidro Cortes-Ciriano, Stephen J. Elledge, Roberto Chiarle, David Pellman, Peter J. Park

Summary: This study reveals that focal copy-number amplifications in breast cancer often originate from a mechanism called translocation-bridge amplification, involving inter-chromosomal translocations leading to dicentric chromosome bridge formation and breakage. The model explains the amplifications of key oncogenes and suggests a role of estrogen in generating the initial translocations in breast cancer.

NATURE (2023)

添加到收藏夹

Article Radiology, Nuclear Medicine & Medical Imaging

Correlation of clot distribution with morphometric measurements and pleuroparenchymal findings in acute pulmonary embolism: experience with 692 cases

Nuri Cagatay Cimsit, Canan Cimsit, Can Onaygil, Taha Yusuf Kuzan

CLINICAL IMAGING (2015)

添加到收藏夹

Article Cell Biology

Human electronegative LDL induces mitochondrial dysfunction and premature senescence of vascular cells in vivo

Yu-Chen Wang, An-Sheng Lee, Long-Sheng Lu, Liang-Yin Ke, Wei-Yu Chen, Jian-Wen Dong, Jonathan Lu, Zhenping Chen, Chih-Sheng Chu, Hua-Chen Chan, Taha Y. Kuzan, Ming-Hsien Tsai, Wen-Li Hsu, Richard A. F. Dixon, Tatsuya Sawamura, Kuan-Cheng Chang, Chu-Huang Chen

AGING CELL (2018)

添加到收藏夹

Article Endocrinology & Metabolism

Comparison of Number of Passes and Cytopathological Specimen Adequacy for Thyroid Fine-Needle Aspiration Biopsy in the Absence of an On-Site Pathologist

Taha Yusuf Kuzan, Ceren Canbey Goret

EUROPEAN THYROID JOURNAL (2020)

添加到收藏夹

Article Radiology, Nuclear Medicine & Medical Imaging

Lung ultrasonography in pregnant women during the COVID-19 pandemic: an interobserver agreement study among obstetricians

Murat Yassa, Memis Ali Mutlu, Pinar Birol, Taha Yusuf Kuzan, Erkan Kalafat, Canberk Usta, Emre Yavuz, Ilkhan Keskin, Niyazi Tug

ULTRASONOGRAPHY (2020)

添加到收藏夹

Article Radiology, Nuclear Medicine & Medical Imaging

A comparison of clinical, laboratory and chest CT findings of laboratory-confirmed and clinically diagnosed COVID-19 patients at first admission

Taha Yusuf Kuzan, Kubra Murzoglu Altintoprak, Hatice Ozge Ciftci, Umut Ergul, Nur Betul Unal Ozdemir, Muhammet Bulut, Nurettin Yiyit

Summary: This study aimed to identify chest CT characteristics of COVID-19, investigate the association with laboratory or demographic findings, and compare the accuracy with RT-PCR. The results showed that chest CT has high sensitivity and low specificity in the diagnosis of COVID-19, and the clinical, laboratory, and CT findings were similar between laboratory-confirmed and clinically diagnosed COVID-19 patients.

DIAGNOSTIC AND INTERVENTIONAL RADIOLOGY (2021)

添加到收藏夹

Article Anatomy & Morphology

Evaluation of the frequency of left renal vein variations in computed tomography and its relationship with cancer development

T. Y. Kuzan, B. N. Kuzan, T. A. Telli, D. Tuney

FOLIA MORPHOLOGICA (2020)

添加到收藏夹

Article Pediatrics

Differences between radiological findings of COVID-19 and non-COVID-19 infections in pediatric patients

Beyza Nur Kuzan, Bulent Aslan, Taha Yusuf Kuzan, Aysegul Karahasan Yagci, Nuri cagatay Cimsit

Summary: This study aimed to compare COVID-19 and non-COVID-19 respiratory tract infections in pediatric patients, finding that radiological imaging plays an important role in diagnosing COVID-19 and determining the correct treatment approach.

WORLD JOURNAL OF PEDIATRICS (2021)

添加到收藏夹

Article Medical Laboratory Technology

Analysis of intra-observer and inter-observer variability of pathologists for non-benign thyroid fine needle aspiration cytology according to Bethesda system categories

Taha Yusuf Kuzan, Burcu Guzelbey, Nalan Turan Guzel, Beyza Nur Kuzan, Mehmet Semih Cakir, Ceren Canbey

Summary: Moderate-to-substantial intra-observer agreement was found among pathologists in the evaluation of non-benign thyroid biopsies using the Bethesda reporting system. However, the inter-observer agreement fell below the lowest acceptable limit when the cytopathologist was considered as a reference.

DIAGNOSTIC CYTOPATHOLOGY (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

A practical artificial intelligence system to diagnose COVID-19 using computed tomography: A multinational external validation study

Ali Abbasian Ardakani, Robert M. Kwee, Mohammad Mirza-Aghazadeh-Attari, Horacio Matias Castro, Taha Yusuf Kuzan, Kubra Murzoglu Altintoprak, Giulia Besutti, Filippo Monelli, Fariborz Faeghi, U. Rajendra Acharya, Afshin Mohammadi

Summary: This study validated a clinical AI system, COVIDiag, to aid radiologists in accurate and rapid evaluation of COVID-19 cases. The system demonstrated consistent optimal diagnostic performance on multinational databases, which is critical to determine the generalizability and objectivity of the proposed COVIDiag model.

PATTERN RECOGNITION LETTERS (2021)

添加到收藏夹

Article Obstetrics & Gynecology

Clinical and radiologic characteristics of symptomatic pregnant women with COVID-19 pneumonia

Taha Yusuf Kuzan, Kubra Murzoglu Altintoprak, Hatice Ozge Ciftci, Beyza Nur Kuzan, Murat Yassa, Niyazi Tug, Nuri Cagatay Cimsit

Summary: This study described the radiological features of pregnant women infected with COVID-19, showing high sensitivity of imaging modalities involving ionizing radiation for diagnosis. The study also found a significantly increased rate of preterm birth and cesarean section among these patients.

JOURNAL OF THE TURKISH-GERMAN GYNECOLOGICAL ASSOCIATION (2021)

添加到收藏夹

Article Engineering, Biomedical

Applications of machine-learning algorithms for prediction of benign and malignant breast lesions using ultrasound radiomics signatures: A multi-center study

Hassan Homayoun, Wai Yee Chan, Taha Yusuf Kuzan, Wai Ling Leong, Kubra Murzoglu Altintoprak, Afshin Mohammadi, Anushya Vijayananthan, Kartini Rahmat, Sook Sam Leong, Mohammad Mirza-Aghazadeh-Attarif, Sajjad Ejtehadifard, Fariborz Faeghi, U. Rajendra Acharya, Ali Abbasian Ardakani

Summary: This study examines the diagnostic efficacy of machine-learning algorithms in differentiating benign and malignant breast lesions using ultrasound images. The results show that incorporating selected robust radiomics features into well-curated machine-learning algorithms can generate high sensitivity, specificity, and accuracy. This optimal performance is preserved even in external validation datasets.

BIOCYBERNETICS AND BIOMEDICAL ENGINEERING (2022)

添加到收藏夹

Article Radiology, Nuclear Medicine & Medical Imaging

Accuracy and reliability of magnetic resonance imaging in the diagnosis of idiopathic intracranial hypertension

Beyza Nur Kuzan, Can Ilgin, Taha Yusuf Kuzan, Volkan Dericioglu, Pinar Kahraman-Koytak, Kayihan Uluc, Nuri Cagatay Cimsit

Summary: This study aimed to assess the diagnostic utility of brain MRI findings in patients with IIH and the importance of evaluating radiological findings together with neurological and ophthalmological data for the diagnosis of IIH. The results showed that optic nerve tortuosity, lateral ventricular index, and caudate index can be used as significant predictors for the disease group in the diagnosis of IIH.

EUROPEAN JOURNAL OF RADIOLOGY (2022)

添加到收藏夹

Article Radiology, Nuclear Medicine & Medical Imaging

Artificial intelligence, BI-RADS evaluation and morphometry: A novel combination to diagnose breast cancer using ultrasonography, results from multi-center cohorts

Hessam Hamyoon, Wai Yee Chan, Afshin Mohammadi, Taha Yusuf Kuzan, Mohammad Mirza-Aghazadeh-Attari, Wai Ling Leong, Kuebra Murzoglu Altintoprak, Anushya Vijayananthan, Kartini Rahmat, Nazimah Ab Mumin, Sook Sam Leong, Sajjad Ejtehadifar, Fariborz Faeghi, Jamileh Abolghasemi, Edward J. Ciaccio, U. Rajendra Acharya, Ali Abbasian Ardakani

Summary: The purpose of this study was to develop and validate a machine learning model for the classification of breast lesions on ultrasound images. The model achieved higher accuracy in classifying breast lesions compared to expert radiologists based on the BI-RADS lexicon. This suggests that the inclusion of morphometric features can enhance the classification schemes.

EUROPEAN JOURNAL OF RADIOLOGY (2022)

添加到收藏夹

Article Acoustics

AdaRes: A deep learning-based model for ultrasound image denoising: Results of image quality metrics, radiomics, artificial intelligence, and clinical studies

Ali Abbasian Ardakani, Afshin Mohammadi, Thomas J. Vogl, Taha Yusuf Kuzan, U. Rajendra Acharya

Summary: This study developed a deep-learning-based filter for denoising ultrasound images, which effectively removed noise and preserved most image features. The proposed filter can improve ultrasound image quality and serve as a preprocessing step in computer-aided diagnosis systems.

JOURNAL OF CLINICAL ULTRASOUND (2023)

添加到收藏夹

Article Radiology, Nuclear Medicine & Medical Imaging

Spigelian Hernia Including the Urinary Bladder: A Rare Potential Cause of Surgical Complication

Taha Yusuf Kuzan, Beyza Nur Kuzan, Bilal Sadikoglu, Davut Tuney

JOURNAL OF RADIOLOGY CASE REPORTS (2019)

添加到收藏夹

暂无数据

© Peeref 2019-2024. All rights reserved.