Seminars in cancer biology最新文献_第10页

Mediterranean diet and olive oil, microbiota, and obesity-related cancers. From mechanisms to prevention 地中海饮食和橄榄油，微生物群，和肥胖相关的癌症。从机制到预防

IF 14.5 1区医学

Seminars in cancer biology Pub Date : 2023-10-01 DOI: 10.1016/j.semcancer.2023.08.001

Enrique Almanza-Aguilera , Ainara Cano , Mercedes Gil-Lespinard , Nerea Burguera , Raul Zamora-Ros , Antonio Agudo , Marta Farràs

{"title":"Mediterranean diet and olive oil, microbiota, and obesity-related cancers. From mechanisms to prevention","authors":"Enrique Almanza-Aguilera , Ainara Cano , Mercedes Gil-Lespinard , Nerea Burguera , Raul Zamora-Ros , Antonio Agudo , Marta Farràs","doi":"10.1016/j.semcancer.2023.08.001","DOIUrl":"10.1016/j.semcancer.2023.08.001","url":null,"abstract":"<div><p>Olive oil (OO) is the main source of added fat in the Mediterranean diet (MD). It is a mix of bioactive compounds, including monounsaturated fatty acids, phytosterols, simple phenols, secoiridoids, flavonoids, and terpenoids. There is a growing body of evidence that MD and OO improve obesity-related factors. In addition, obesity has been associated with an increased risk for several cancers: endometrial, oesophageal adenocarcinoma, renal, pancreatic, hepatocellular, gastric cardia, meningioma, multiple myeloma, colorectal, postmenopausal breast, ovarian, gallbladder, and thyroid cancer. However, the epidemiological evidence linking MD and OO with these obesity-related cancers, and their potential mechanisms of action, especially those involving the gut microbiota, are not clearly described or understood. The goals of this review are 1) to update the current epidemiological knowledge on the associations between MD and OO consumption and obesity-related cancers, 2) to identify the gut microbiota mechanisms involved in obesity-related cancers, and 3) to report the effects of MD and OO on these mechanisms.</p></div>","PeriodicalId":21594,"journal":{"name":"Seminars in cancer biology","volume":"95 ","pages":"Pages 103-119"},"PeriodicalIF":14.5,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10158127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Dynamical hallmarks of cancer: Phenotypic switching in melanoma and epithelial-mesenchymal plasticity 癌症的动力学特征：黑色素瘤表型转换和上皮-间充质可塑性。

IF 14.5 1区医学

Seminars in cancer biology Pub Date : 2023-10-01 DOI: 10.1016/j.semcancer.2023.09.007

Paras Jain , Maalavika Pillai , Atchuta Srinivas Duddu , Jason A. Somarelli , Yogesh Goyal , Mohit Kumar Jolly

{"title":"Dynamical hallmarks of cancer: Phenotypic switching in melanoma and epithelial-mesenchymal plasticity","authors":"Paras Jain , Maalavika Pillai , Atchuta Srinivas Duddu , Jason A. Somarelli , Yogesh Goyal , Mohit Kumar Jolly","doi":"10.1016/j.semcancer.2023.09.007","DOIUrl":"10.1016/j.semcancer.2023.09.007","url":null,"abstract":"<div><p>Phenotypic plasticity was recently incorporated as a hallmark of cancer. This plasticity can manifest along many interconnected axes, such as stemness and differentiation, drug-sensitive and drug-resistant states, and between epithelial and mesenchymal cell-states. Despite growing acceptance for phenotypic plasticity as a hallmark of cancer, the dynamics of this process remains poorly understood. In particular, the knowledge necessary for a predictive understanding of how individual cancer cells and populations of cells dynamically switch their phenotypes in response to the intensity and/or duration of their current and past environmental stimuli remains far from complete. Here, we present recent investigations of phenotypic plasticity from a systems-level perspective using two exemplars: epithelial-mesenchymal plasticity in carcinomas and phenotypic switching in melanoma. We highlight how an integrated computational-experimental approach has helped unravel insights into specific dynamical hallmarks of phenotypic plasticity in different cancers to address the following questions: a) how many distinct cell-states or phenotypes exist?; b) how reversible are transitions among these cell-states, and what factors control the extent of reversibility?; and c) how might cell-cell communication be able to alter rates of cell-state switching and enable diverse patterns of phenotypic heterogeneity? Understanding these dynamic features of phenotypic plasticity may be a key component in shifting the paradigm of cancer treatment from reactionary to a more predictive, proactive approach.</p></div>","PeriodicalId":21594,"journal":{"name":"Seminars in cancer biology","volume":"96 ","pages":"Pages 48-63"},"PeriodicalIF":14.5,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41139637","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Artificial intelligence-based risk stratification, accurate diagnosis and treatment prediction in gynecologic oncology 基于人工智能的妇科肿瘤风险分层、准确诊断和治疗预测。

IF 14.5 1区医学

Seminars in cancer biology Pub Date : 2023-09-30 DOI: 10.1016/j.semcancer.2023.09.005

Yuting Jiang , Chengdi Wang , Shengtao Zhou

{"title":"Artificial intelligence-based risk stratification, accurate diagnosis and treatment prediction in gynecologic oncology","authors":"Yuting Jiang , Chengdi Wang , Shengtao Zhou","doi":"10.1016/j.semcancer.2023.09.005","DOIUrl":"10.1016/j.semcancer.2023.09.005","url":null,"abstract":"<div><p>As data-driven science, artificial intelligence (AI) has paved a promising path toward an evolving health system teeming with thrilling opportunities for precision oncology. Notwithstanding the tremendous success of oncological AI in such fields as lung carcinoma, breast tumor and brain malignancy, less attention has been devoted to investigating the influence of AI on gynecologic oncology. Hereby, this review sheds light on the ever-increasing contribution of state-of-the-art AI techniques to the refined risk stratification and whole-course management of patients with gynecologic tumors, in particular, cervical, ovarian and endometrial cancer, centering on information and features extracted from clinical data (electronic health records), cancer imaging including radiological imaging, colposcopic images, cytological and histopathological digital images, and molecular profiling (genomics, transcriptomics, metabolomics and so forth). However, there are still noteworthy challenges beyond performance validation. Thus, this work further describes the limitations and challenges faced in the real-word implementation of AI models, as well as potential solutions to address these issues.</p></div>","PeriodicalId":21594,"journal":{"name":"Seminars in cancer biology","volume":"96 ","pages":"Pages 82-99"},"PeriodicalIF":14.5,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41149728","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Immune evasion on the nanoscale: Small extracellular vesicles in pancreatic ductal adenocarcinoma immunity 纳米级免疫逃避：胰腺导管腺癌免疫中的细胞外小泡。

IF 14.5 1区医学

Seminars in cancer biology Pub Date : 2023-09-23 DOI: 10.1016/j.semcancer.2023.09.004

Jordan Fyfe , Danielle Dye , Norbaini Binti Abdol Razak , Pat Metharom , Marco Falasca

{"title":"Immune evasion on the nanoscale: Small extracellular vesicles in pancreatic ductal adenocarcinoma immunity","authors":"Jordan Fyfe , Danielle Dye , Norbaini Binti Abdol Razak , Pat Metharom , Marco Falasca","doi":"10.1016/j.semcancer.2023.09.004","DOIUrl":"10.1016/j.semcancer.2023.09.004","url":null,"abstract":"<div><p>Pancreatic ductal adenocarcinoma (PDAC) is a type of cancer alarmingly expanding in our modern societies that is still proving to be very challenging to counteract. This disease constitutes a quintessential example of the multiple interactions existing between the tumour and its surrounding microenvironment. In particular, PDAC is characterized by a very immunosuppressive environment that favours cancer growth and makes this cancer type very resistant to immunotherapy. The primary tumour releases many factors that influence both the microenvironment and the immune landscape. Extracellular vesicles (EVs), recently identified as indispensable entities ensuring cell-to-cell communication in both physiological and pathological processes, seem to play a pivotal function in ensuring the delivery of these factors to the tumour-surrounding tissues. In this review, we summarize the present understanding on the crosstalk among tumour cells and the cellular immune microenvironment emphasizing the pro-malignant role played by extracellular vesicles. We also discuss how a greater knowledge of the roles of EVs in tumour immune escape could be translated into clinical applications.</p></div>","PeriodicalId":21594,"journal":{"name":"Seminars in cancer biology","volume":"96 ","pages":"Pages 36-47"},"PeriodicalIF":14.5,"publicationDate":"2023-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41152874","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Excess body weight and postmenopausal breast cancer: Emerging molecular mechanisms and perspectives 超重与绝经后乳腺癌症：新兴的分子机制和前景。

IF 14.5 1区医学

Seminars in cancer biology Pub Date : 2023-09-20 DOI: 10.1016/j.semcancer.2023.09.003

Daniela Nahmias-Blank , Ofra Maimon , Amichay Meirovitz , Kim Sheva , Tamar Peretz-Yablonski , Michael Elkin

{"title":"Excess body weight and postmenopausal breast cancer: Emerging molecular mechanisms and perspectives","authors":"Daniela Nahmias-Blank , Ofra Maimon , Amichay Meirovitz , Kim Sheva , Tamar Peretz-Yablonski , Michael Elkin","doi":"10.1016/j.semcancer.2023.09.003","DOIUrl":"10.1016/j.semcancer.2023.09.003","url":null,"abstract":"<div><p>Postmenopausal, obese women have a significantly higher risk of developing estrogen receptor-positive (ER+) breast tumors, that are resistant to therapies and are associated with higher recurrence and death rates. The global prevalence of overweight/obese women has reached alarming proportions and with postmenopausal ER+ breast carcinoma (BC) having the highest incidence among the three obesity-related cancers in females (i.e., breast, endometrial and ovarian), this is of significant concern. Elucidation of the precise molecular mechanisms underlying the pro-cancerous action of obesity in ER+BC is therefore critical for disease prevention and novel treatment initiatives. Interestingly, accumulating data has shown opposing relationships between obesity and cancer in either pre- or post-menopausal women. Excess body weight is associated with an increased risk of breast cancer in postmenopausal women and a decreased risk in pre-menopausal women. Moreover, excess adiposity during early life appears to be protective against postmenopausal breast cancer, including both ER+ and ER negative BC subtypes. Overall, estrogen-dependent mechanisms have been implicated as the main driving force in obesity-related breast tumorigenesis. In the present review we discuss the epidemiologic and mechanistic aspects of association between obesity and breast tumors after menopause, mainly in the context of hormone dependency. Molecular and cellular events underlying this association present as potential avenues for both therapeutic intervention as well as the prevention of BC-promoting processes linked to excess adiposity, which is proving to be vital in an increasingly obese global population.</p></div>","PeriodicalId":21594,"journal":{"name":"Seminars in cancer biology","volume":"96 ","pages":"Pages 26-35"},"PeriodicalIF":14.5,"publicationDate":"2023-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41177031","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Targeting intratumoral hypoxia to enhance anti-tumor immunity 靶向肿瘤内缺氧以增强抗肿瘤免疫。

IF 14.5 1区医学

Seminars in cancer biology Pub Date : 2023-09-16 DOI: 10.1016/j.semcancer.2023.09.002

Gregg L. Semenza

引用次数: 0

Recent advancements in artificial intelligence for breast cancer: Image augmentation, segmentation, diagnosis, and prognosis approaches 癌症人工智能的最新进展：图像增强、分割、诊断和预后方法。

IF 14.5 1区医学

Seminars in cancer biology Pub Date : 2023-09-12 DOI: 10.1016/j.semcancer.2023.09.001

Jiadong Zhang , Jiaojiao Wu , Xiang Sean Zhou , Feng Shi , Dinggang Shen

{"title":"Recent advancements in artificial intelligence for breast cancer: Image augmentation, segmentation, diagnosis, and prognosis approaches","authors":"Jiadong Zhang , Jiaojiao Wu , Xiang Sean Zhou , Feng Shi , Dinggang Shen","doi":"10.1016/j.semcancer.2023.09.001","DOIUrl":"10.1016/j.semcancer.2023.09.001","url":null,"abstract":"<div><p>Breast cancer is a significant global health burden, with increasing morbidity and mortality worldwide. Early screening and accurate diagnosis are crucial for improving prognosis. Radiographic imaging modalities such as digital mammography (DM), digital breast tomosynthesis (DBT), magnetic resonance imaging (MRI), ultrasound (US), and nuclear medicine techniques, are commonly used for breast cancer assessment. And histopathology (HP) serves as the gold standard for confirming malignancy. Artificial intelligence (AI) technologies show great potential for quantitative representation of medical images to effectively assist in segmentation, diagnosis, and prognosis of breast cancer. In this review, we overview the recent advancements of AI technologies for breast cancer, including 1) improving image quality by data augmentation, 2) fast detection and segmentation of breast lesions and diagnosis of malignancy, 3) biological characterization of the cancer such as staging and subtyping by AI-based classification technologies, 4) prediction of clinical outcomes such as metastasis, treatment response, and survival by integrating multi-omics data. Then, we then summarize large-scale databases available to help train robust, generalizable, and reproducible deep learning models. Furthermore, we conclude the challenges faced by AI in real-world applications, including data curating, model interpretability, and practice regulations. Besides, we expect that clinical implementation of AI will provide important guidance for the patient-tailored management.</p></div>","PeriodicalId":21594,"journal":{"name":"Seminars in cancer biology","volume":"96 ","pages":"Pages 11-25"},"PeriodicalIF":14.5,"publicationDate":"2023-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10222325","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Special issue: Deregulated transcription factors in the cancer therapeutic challenges: An update on cancer stemness features 特刊：癌症治疗挑战中转录因子失调：癌症干性特征的最新进展

IF 14.5 1区医学

Seminars in cancer biology Pub Date : 2023-09-09 DOI: 10.1016/j.semcancer.2023.08.004

Abdul Quaiyoom Khan

引用次数: 0

Physiological and environmental factors affecting cancer risk and prognosis in obesity 影响肥胖患者癌症风险和预后的生理和环境因素

IF 14.5 1区医学

Seminars in cancer biology Pub Date : 2023-09-01 DOI: 10.1016/j.semcancer.2023.06.002

Paul F. Seke Etet , Lorella Vecchio , Armel H. Nwabo Kamdje , Patrice N. Mimche , Alfred K. Njamnshi , Abdu Adem

{"title":"Physiological and environmental factors affecting cancer risk and prognosis in obesity","authors":"Paul F. Seke Etet , Lorella Vecchio , Armel H. Nwabo Kamdje , Patrice N. Mimche , Alfred K. Njamnshi , Abdu Adem","doi":"10.1016/j.semcancer.2023.06.002","DOIUrl":"10.1016/j.semcancer.2023.06.002","url":null,"abstract":"<div><p><span><span>Obesity results from a chronic excessive accumulation of adipose tissue due to a long-term imbalance between energy intake and expenditure. Available epidemiological and clinical data strongly support the links between obesity and certain cancers. Emerging clinical and experimental findings have improved our understanding of the roles of key players in obesity-associated carcinogenesis such as age, sex (menopause), genetic<span> and epigenetic factors, </span></span>gut microbiota and metabolic factors, body shape trajectory over life, dietary habits, and general lifestyle. It is now widely accepted that the cancer-obesity relationship depends on the site of cancer, the systemic inflammatory status, and micro environmental parameters such as levels of inflammation and </span>oxidative stress in transforming tissues. We hereby review recent advances in our understanding of cancer risk and prognosis in obesity with respect to these players. We highlight how the lack of their consideration contributed to the controversy over the link between obesity and cancer in early epidemiological studies. Finally, the lessons and challenges of interventions for weight loss and better cancer prognosis, and the mechanisms of weight gain in survivors are also discussed.</p></div>","PeriodicalId":21594,"journal":{"name":"Seminars in cancer biology","volume":"94 ","pages":"Pages 50-61"},"PeriodicalIF":14.5,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9787568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Obesity and renal cell carcinoma: Biological mechanisms and perspectives 肥胖与肾细胞癌：生物学机制与展望。

IF 14.5 1区医学

Seminars in cancer biology Pub Date : 2023-09-01 DOI: 10.1016/j.semcancer.2023.06.001

Neha Venkatesh , Alberto Martini , Jennifer L. McQuade , Pavlos Msaouel , Andrew W. Hahn

{"title":"Obesity and renal cell carcinoma: Biological mechanisms and perspectives","authors":"Neha Venkatesh , Alberto Martini , Jennifer L. McQuade , Pavlos Msaouel , Andrew W. Hahn","doi":"10.1016/j.semcancer.2023.06.001","DOIUrl":"10.1016/j.semcancer.2023.06.001","url":null,"abstract":"<div><p>Obesity, defined by body mass index (BMI), is an established risk factor for specific renal cell carcinoma (RCC) subtypes such as clear cell RCC, the most common RCC histology. Many studies have identified an association between obesity and improved survival after diagnosis of RCC, a potential “obesity paradox.” Clinically, there is uncertainty whether improved outcomes observed after diagnosis are driven by stage, type of treatment received, or artifacts of longitudinal changes in weight and body composition. The biological mechanisms underlying obesity’s influence on RCC are not fully established, but multiomic and mechanistic studies suggest an impact on tumor metabolism, particularly fatty acid metabolism, angiogenesis, and peritumoral inflammation, which are known to be key biological hallmarks of clear cell RCC. Conversely, high-intensity exercise associated with increased muscle mass may be a risk factor for renal medullary carcinoma, a rare RCC subtype that predominantly occurs in individuals with sickle hemoglobinopathies. Herein, we highlight methodologic challenges associated with studying the influence of obesity on RCC and review the clinical evidence and potential underlying mechanisms associating RCC with BMI and body composition.</p></div>","PeriodicalId":21594,"journal":{"name":"Seminars in cancer biology","volume":"94 ","pages":"Pages 21-33"},"PeriodicalIF":14.5,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10526958/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10154413","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1