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The role of the SOX2 gene in cervical cancer: focus on ferroptosis and construction of a predictive model. SOX2 基因在宫颈癌中的作用:关注铁变态反应并构建预测模型。
IF 2.7 3区 医学 Q3 ONCOLOGY Pub Date : 2024-11-23 DOI: 10.1007/s00432-024-05973-2
Shenping Liu, Zhi Wei, Huiqing Ding

Background: The intricate interplay between stemness markers and cell death pathways significantly influences the pathophysiology of cervical cancer. SOX2, a pivotal regulator of stem cell pluripotency, has recently been implicated in the modulation of ferroptosis, a specialized form of iron-dependent cell death, in cancer dynamics. This study delineates the role of SOX2 in the ferroptotic landscape of cervical carcinoma.

Objective: To delineate the association between SOX2 expression and ferroptosis in cervical cancer and develop a robust, SOX2-centric model for predicting prognosis and enhancing personalized treatment.

Methods: A multidimensional approach integrating advanced bioinformatics, comprehensive molecular profiling, and state-of-the-art machine learning algorithms was employed to assess SOX2 expression patterns and their correlation with ferroptosis marker expression patterns in cervical cancer tissues. A prognostic model incorporating the expression levels of SOX2 and ferroptosis indicators was meticulously constructed.

Results: This investigation revealed a profound and intricate correlation between SOX2 expression and ferroptotic processes in cervical cancer, substantiated by robust molecular evidence. The developed predictive model based on SOX2 expression exhibited superior prognostic accuracy and may guide therapeutic decision-making.

Conclusion: This study underscores the critical role of SOX2 in orchestrating the ferroptosis pathway in cervical cancer and presents a novel prognostic framework. The SOX2-centric predictive model represents a significant advancement in prognosis evaluation, offering a gateway to personalized treatment for gynaecologic cancers.

背景:干性标志物与细胞死亡途径之间错综复杂的相互作用极大地影响着宫颈癌的病理生理学。SOX2是干细胞多能性的关键调节因子,最近被认为与癌症动态中的铁凋亡(一种专门的铁依赖性细胞死亡形式)调节有关。本研究描述了 SOX2 在宫颈癌铁凋亡中的作用:目的:阐明宫颈癌中 SOX2 表达与铁凋亡之间的关系,并建立一个以 SOX2 为中心的稳健模型,用于预测预后和加强个性化治疗:方法:采用一种整合了先进的生物信息学、综合分子剖析和最先进的机器学习算法的多维方法来评估宫颈癌组织中SOX2的表达模式及其与铁突变标志物表达模式的相关性。结果发现,宫颈癌组织中SOX2的表达模式及其与铁变态标志物表达模式的相关性与宫颈癌组织中SOX2的表达模式及其与铁变态标志物表达模式的相关性密切相关:结果:这项研究揭示了宫颈癌中 SOX2 表达与铁变态过程之间深刻而复杂的相关性,并得到了强有力的分子证据的证实。基于 SOX2 表达建立的预测模型显示出卓越的预后准确性,可为治疗决策提供指导:本研究强调了 SOX2 在协调宫颈癌铁突变通路中的关键作用,并提出了一个新的预后框架。以 SOX2 为中心的预测模型代表了预后评估的重大进展,为妇科癌症的个性化治疗提供了一个途径。
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引用次数: 0
Osteopontin: an indispensable component in common liver, pancreatic, and biliary related disease. 骨蛋白:常见肝脏、胰腺和胆道相关疾病中不可或缺的成分。
IF 2.7 3区 医学 Q3 ONCOLOGY Pub Date : 2024-11-22 DOI: 10.1007/s00432-024-06038-0
Lu Liu, Kunwei Niu, Zhipeng Yang, Junbo Song, Dan Wei, Ruohan Zhang, Kaishan Tao

Background: The liver, gallbladder, and pancreas constitute a critically important system of digestive and endocrine organs in the human body, performing essential and complex physiological functions. At present, diseases of this digestive system have a high incidence in the world and is a more common disease. However, osteopontin (OPN) plays a crucial role in common liver, pancreatic, and biliary diseases, and its mechanisms of action merit further exploration and study.

Methods: We performed an analysis to assess the role of osteopontin in liver, pancreatic, and biliary diseases, focusing on its significance in these conditions.

Results: Osteopontin, a profoundly phosphorylated glycoprotein, can be utilized as a diagnostic marker for hepatocellular carcinoma and cholangiopathies. Additionally it assists in the treatment of non-alcoholic fatty liver disease and promotes the proliferation, migration, and invasion of pancreatic cancer cells. Furthermore, osteopontin regulates inflammatory responses in chronic pancreatitis.

Conclusions: This review offers a thorough analysis of the genetic and protein architecture of OPN, and elucidates the relationship between osteopontin and liver, pancreatic, and biliary diseases. Furthermore, exclusive focus is lavished on the potential utility of OPN as a biomarker and an innovative therapeutic target in the management of these disorder.

背景:肝脏、胆囊和胰腺是人体重要的消化和内分泌器官系统,具有重要而复杂的生理功能。目前,该消化系统疾病在全球发病率较高,是一种较为常见的疾病。然而,补骨脂素(OPN)在常见的肝脏、胰腺和胆道疾病中起着至关重要的作用,其作用机制值得进一步探讨和研究:我们进行了一项分析,以评估骨化素在肝脏、胰腺和胆道疾病中的作用,重点研究其在这些疾病中的意义:结果:骨化蛋白是一种深度磷酸化的糖蛋白,可用作肝细胞癌和胆道疾病的诊断标志物。此外,它还有助于治疗非酒精性脂肪肝,促进胰腺癌细胞的增殖、迁移和侵袭。此外,补骨脂素还能调节慢性胰腺炎的炎症反应:本综述全面分析了 OPN 的遗传和蛋白质结构,阐明了骨通素与肝脏、胰腺和胆道疾病之间的关系。此外,文章还特别关注了 OPN 作为生物标志物和创新治疗靶点在治疗这些疾病方面的潜在作用。
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引用次数: 0
Efficacy of sintilimab combined with neoadjuvant chemotherapy and trastuzumab in conversional treatment of locally advanced HER2-positive gastric cancer: case analysis and literature review. 辛替利单抗联合新辅助化疗和曲妥珠单抗转换治疗局部晚期HER2阳性胃癌的疗效:病例分析和文献综述。
IF 2.7 3区 医学 Q3 ONCOLOGY Pub Date : 2024-11-19 DOI: 10.1007/s00432-024-06024-6
Sidikjan Ibrahim, Amina Maimaitiaili, Guangsheng Zhu, Shengwei Ye

Background: Regional lymph nodes that are fixed and fused into clusters or those exhibiting metastases outside the regional lymph nodes are generally classified as stage IV (M1) or unresectable. Patients with such nodes almost always need pre-operative treatment so that they can undergo surgical resection. Combining immunotherapy with trastuzumab and chemotherapy significantly improved the prognosis of HER-2 positive gastric/gastroesophageal junction (G/GEJ) cancer. However, very few reports are available on the role of immunotherapy in converting patients with unresectable cancer to resectable cancer.

Methods: In this study, we report on four patients with GC who were preoperatively treated with a combination of sintilimab, trastuzumab, and chemotherapy at Hubei Cancer Hospital, China, from January 2022 to October 2023. Both preoperative and postoperative clinical and pathological characteristics of each patient were analyzed. The preoperative tumor stage was cT4N3M1.

Results: Postoperative pathological results showed that two patients achieved pathological complete remission (pCR), while the pathological stage in the other two patients decreased to ypT1N0M0 and ypT2N0M0. None of them had nerve or vascular invasion. None of the patients had recurrences or metastases until the last follow-up (October 2024) after primary surgery. The present case report suggests that a combination of immunotherapy comprising trastuzumab and chemotherapy can improve the efficiency of conversion therapy for patients with HER-2 positive locally advanced G/GEJ cancer. This study also demonstrates the safety of immune checkpoint inhibitors in a conversional treatment approach.

Conclusion: We showed that a pathological complete response (pCR) can be obtained even with unresectable advanced GC through treatment with sintilimab combined with neoadjuvant chemotherapy and trastuzumab.

背景:固定融合成团的区域淋巴结或区域淋巴结外有转移的淋巴结一般被归类为 IV 期(M1)或不可切除。有此类淋巴结的患者几乎都需要进行术前治疗,以便接受手术切除。将免疫疗法与曲妥珠单抗和化疗相结合,可明显改善 HER-2 阳性胃癌/胃食管交界处癌(G/GEJ)的预后。然而,关于免疫疗法在将无法切除的癌症患者转为可切除癌症方面所起作用的报道却寥寥无几:在这项研究中,我们报告了 2022 年 1 月至 2023 年 10 月在中国湖北省肿瘤医院接受辛替利单抗、曲妥珠单抗和化疗联合治疗的四例 GC 患者的术前情况。研究分析了每位患者术前和术后的临床和病理特征。术前肿瘤分期为cT4N3M1:术后病理结果显示,两名患者获得了病理完全缓解(pCR),另外两名患者的病理分期分别降至ypT1N0M0和ypT2N0M0。他们都没有神经或血管侵犯。直到初次手术后的最后一次随访(2024 年 10 月),所有患者均未出现复发或转移。本病例报告表明,曲妥珠单抗与化疗相结合的免疫疗法可以提高HER-2阳性局部晚期G/GEJ癌患者的转化治疗效率。本研究还证明了免疫检查点抑制剂在转换治疗方法中的安全性:我们的研究表明,即使是不可切除的晚期GC患者,也可以通过使用辛替利单抗联合新辅助化疗和曲妥珠单抗获得病理完全反应(pCR)。
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引用次数: 0
Identification of a novel molecular classification for hepatocellular carcinoma based on disulfideptosis-related genes and its potential prognostic significance. 基于二硫肽相关基因的新型肝细胞癌分子分类及其潜在的预后意义。
IF 2.7 3区 医学 Q3 ONCOLOGY Pub Date : 2024-11-18 DOI: 10.1007/s00432-024-06031-7
Tao Wang, Yong Liu, Junjie Kong, Jun Liu

Background: Globally, hepatocellular carcinoma (HCC) is one of the most prevalent and deadly malignant tumors. A recent study proposed disulfidptosis, a novel form of regulated cell death (RCD), offering a new avenue for identifying tumor prognosis biomarkers and developing novel therapeutic targets.

Methods: Based on the expression data of 14 disulfideptosis-related genes extracted from public databases, a new molecular classification of HCC called the "disulfidptosis score" was constructed and its relationship to tumor immunity and prognosis was evaluated.

Results: Based on the expression of disulfideptosis-related genes, we performed cluster analysis on HCC samples from the TCGA cohort, which classified these patients into three clusters: A, B, and C, and the differentially expressed genes of different clusters were analyzed. A disulfidptosis score model was constructed by differentially expressed genes associated with prognosis. Univariate and multivariate COX regression analysis showed that disulfidptosis score was an independent prognostic factor for HCC. In addition, in various disulfidptosis score groups, notable disparities were observed concerning the tumor immune microenvironment as well as the expression of immune checkpoint.

Conclusion: Disulfidptosis score have an important role in predicting HCC prognosis and help guide us in providing better immunotherapy options for patients.

背景:在全球范围内,肝细胞癌(HCC)是发病率最高、最致命的恶性肿瘤之一。最近的一项研究提出了一种新型的调节性细胞死亡(RCD)形式--二硫肽化,为确定肿瘤预后生物标志物和开发新型治疗靶点提供了一条新途径:方法:基于从公共数据库中提取的14个二硫化相关基因的表达数据,构建了一种新的HCC分子分类方法,称为 "二硫化评分",并评估了其与肿瘤免疫和预后的关系:结果:根据二硫肽相关基因的表达,我们对来自 TCGA 队列的 HCC 样本进行了聚类分析,将这些患者分为 A、B 和 C 三个群:并对不同聚类的差异表达基因进行了分析。通过与预后相关的差异表达基因构建了二硫化硫评分模型。单变量和多变量 COX 回归分析表明,二硫化硫评分是 HCC 的独立预后因素。此外,在不同的二硫化硫评分组中,还观察到肿瘤免疫微环境和免疫检查点表达的显著差异:结论:二硫化硫评分在预测 HCC 预后方面具有重要作用,有助于指导我们为患者提供更好的免疫疗法选择。
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引用次数: 0
Multi-classification of breast cancer pathology images based on a two-stage hybrid network. 基于两级混合网络的乳腺癌病理图像多重分类。
IF 2.7 3区 医学 Q3 ONCOLOGY Pub Date : 2024-11-18 DOI: 10.1007/s00432-024-06002-y
Guolan Wang, Mengjiu Jia, Qichao Zhou, Songrui Xu, Yadong Zhao, Qiaorong Wang, Zhi Tian, Ruyi Shi, Keke Wang, Ting Yan, Guohui Chen, Bin Wang

Background and objective: In current clinical medicine, pathological image diagnosis is the gold standard for cancer diagnosis. After pathologists determine whether breast lesions are malignant or benign, further sub-type classification is often necessary.

Methods: For this task, this study designed a multi-classification model for breast cancer pathological images based on a two-stage hybrid network. Due to limited sample size for breast sub-type data, this study selected the ResNet34 network as the base network and improved it as the first-level convolutional network, using transfer learning to assist network training. In order to compensate for the lack of long-distance dependencies in the convolutional network, the second-level network was designed to use Long Short-Term Memory (LSTM) to capture contextual information in the images for predictive classification.

Results: For the 8 sub-types of breast cancer classification on the BreakHis (40×, 100×, 200×, 400×) dataset, the ensemble model achieved accuracy rates of 93.67%, 97.08%, 98.01%, and 94.73% respectively. For the 4 sub-types of breast cancer classification on the ICIAR2018 (200×) dataset, the ensemble model achieved accuracy, precision, recall, and F1 Score rates of 93.75%, 92.5%, 92.5%, and 92.5% respectively.

Conclusion: The results show that the multi-classification model proposed in this study outperforms other methods in terms of classification performance, and further demonstrate that the proposed RFSAM module is beneficial for improving model performance.

背景和目的:在目前的临床医学中,病理图像诊断是癌症诊断的金标准。病理学家在确定乳腺病变是恶性还是良性后,往往需要进一步进行亚型分类:针对这一任务,本研究设计了一种基于两级混合网络的乳腺癌病理图像多分类模型。由于乳腺癌亚型数据样本量有限,本研究选择 ResNet34 网络作为基础网络,并将其改进为一级卷积网络,使用迁移学习来辅助网络训练。为了弥补卷积网络中长距离依赖关系的不足,第二级网络的设计使用了长短期记忆(LSTM)来捕捉图像中的上下文信息,以进行预测性分类:对于 BreakHis(40×、100×、200×、400×)数据集上的 8 个乳腺癌子类型分类,集合模型的准确率分别为 93.67%、97.08%、98.01% 和 94.73%。对于 ICIAR2018(200×)数据集上的 4 种乳腺癌亚型分类,集合模型的准确率、精确率、召回率和 F1 分数分别达到了 93.75%、92.5%、92.5% 和 92.5%:结果表明,本研究提出的多重分类模型在分类性能方面优于其他方法,并进一步证明了所提出的 RFSAM 模块有利于提高模型性能。
{"title":"Multi-classification of breast cancer pathology images based on a two-stage hybrid network.","authors":"Guolan Wang, Mengjiu Jia, Qichao Zhou, Songrui Xu, Yadong Zhao, Qiaorong Wang, Zhi Tian, Ruyi Shi, Keke Wang, Ting Yan, Guohui Chen, Bin Wang","doi":"10.1007/s00432-024-06002-y","DOIUrl":"10.1007/s00432-024-06002-y","url":null,"abstract":"<p><strong>Background and objective: </strong>In current clinical medicine, pathological image diagnosis is the gold standard for cancer diagnosis. After pathologists determine whether breast lesions are malignant or benign, further sub-type classification is often necessary.</p><p><strong>Methods: </strong>For this task, this study designed a multi-classification model for breast cancer pathological images based on a two-stage hybrid network. Due to limited sample size for breast sub-type data, this study selected the ResNet34 network as the base network and improved it as the first-level convolutional network, using transfer learning to assist network training. In order to compensate for the lack of long-distance dependencies in the convolutional network, the second-level network was designed to use Long Short-Term Memory (LSTM) to capture contextual information in the images for predictive classification.</p><p><strong>Results: </strong>For the 8 sub-types of breast cancer classification on the BreakHis (40×, 100×, 200×, 400×) dataset, the ensemble model achieved accuracy rates of 93.67%, 97.08%, 98.01%, and 94.73% respectively. For the 4 sub-types of breast cancer classification on the ICIAR2018 (200×) dataset, the ensemble model achieved accuracy, precision, recall, and F1 Score rates of 93.75%, 92.5%, 92.5%, and 92.5% respectively.</p><p><strong>Conclusion: </strong>The results show that the multi-classification model proposed in this study outperforms other methods in terms of classification performance, and further demonstrate that the proposed RFSAM module is beneficial for improving model performance.</p>","PeriodicalId":15118,"journal":{"name":"Journal of Cancer Research and Clinical Oncology","volume":"150 12","pages":"505"},"PeriodicalIF":2.7,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11570553/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142647804","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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: 0
Correction: Multiparametric MRI based deep learning model for prediction of early recurrence of hepatocellular carcinoma after SR following TACE. 更正:基于多参数磁共振成像的深度学习模型用于预测 TACE 后 SR 后肝细胞癌的早期复发。
IF 2.7 3区 医学 Q3 ONCOLOGY Pub Date : 2024-11-16 DOI: 10.1007/s00432-024-06027-3
Hongyu Wang, Jinwei Li, Yushu Ouyang, He Ren, Chao An, Wendao Liu
{"title":"Correction: Multiparametric MRI based deep learning model for prediction of early recurrence of hepatocellular carcinoma after SR following TACE.","authors":"Hongyu Wang, Jinwei Li, Yushu Ouyang, He Ren, Chao An, Wendao Liu","doi":"10.1007/s00432-024-06027-3","DOIUrl":"10.1007/s00432-024-06027-3","url":null,"abstract":"","PeriodicalId":15118,"journal":{"name":"Journal of Cancer Research and Clinical Oncology","volume":"150 11","pages":"504"},"PeriodicalIF":2.7,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11568027/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142638991","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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: 0
Age differences in the treatment of lung cancer-a cohort study among 42,000 patients from Germany. 肺癌治疗中的年龄差异--德国 42,000 名患者的队列研究。
IF 2.7 3区 医学 Q3 ONCOLOGY Pub Date : 2024-11-15 DOI: 10.1007/s00432-024-06025-5
Nikolaj Rischke, Josephine Kanbach, Ulrike Haug

Aims: We aimed to describe treatment of lung cancer patients in Germany based on health claims data, focusing particularly on differences by age.

Materials and methods: Using the German Pharmacoepidemiological Research Database (GePaRD, ~ 20% of the German population) we identified lung cancer patients diagnosed in 2015-2018 based on a previously developed algorithm and followed them until death, end of continuous insurance or end of 2020. We described initial treatment patterns after diagnosis and survival, stratified among others by age.

Results: We included 42,629 incident lung cancer patients (58% male). Surgery within three months after diagnosis was performed in 36%, 31%, 29% and 18% of patients aged < 50, 50-69, 70-79 and ≥ 80, respectively. Among patients without surgery, systemic therapy was administered in 77%, 72%, 54% and 25% of patients aged < 50, 50-69, 70-79 and ≥ 80, respectively. Monoclonal antibodies were administered in 15-30% of patients across age groups, and 4% to 15% received protein kinase inhibitors. Overall, 21% of patients remained untreated. In the age groups < 50, 50-69, 70-79 and ≥ 80, this proportions was 9%, 12%, 22% and 48%, respectively.

Conclusion: In conclusion, our study provides a comprehensive overview of the therapy of lung cancer patients in Germany and quantitatively demonstrates the considerable differences between age groups. In terms of clinical cancer registration, the results are useful to estimate the completeness of data for the different types of treatment.

目的:我们旨在根据健康索赔数据描述德国肺癌患者的治疗情况,尤其关注不同年龄段的差异:利用德国药物流行病学研究数据库(GePaRD,约占德国人口的 20%),我们根据之前开发的算法确定了 2015-2018 年确诊的肺癌患者,并跟踪他们直至死亡、连续保险结束或 2020 年底。我们描述了诊断后的初始治疗模式和生存情况,并根据年龄等因素进行了分层:我们纳入了 42629 名肺癌患者(58% 为男性)。诊断后三个月内进行手术的患者分别占 36%、31%、29% 和 18%:总之,我们的研究全面概述了德国肺癌患者的治疗情况,并从数量上证明了不同年龄组之间的巨大差异。就临床癌症登记而言,研究结果有助于估算不同类型治疗数据的完整性。
{"title":"Age differences in the treatment of lung cancer-a cohort study among 42,000 patients from Germany.","authors":"Nikolaj Rischke, Josephine Kanbach, Ulrike Haug","doi":"10.1007/s00432-024-06025-5","DOIUrl":"10.1007/s00432-024-06025-5","url":null,"abstract":"<p><strong>Aims: </strong>We aimed to describe treatment of lung cancer patients in Germany based on health claims data, focusing particularly on differences by age.</p><p><strong>Materials and methods: </strong>Using the German Pharmacoepidemiological Research Database (GePaRD, ~ 20% of the German population) we identified lung cancer patients diagnosed in 2015-2018 based on a previously developed algorithm and followed them until death, end of continuous insurance or end of 2020. We described initial treatment patterns after diagnosis and survival, stratified among others by age.</p><p><strong>Results: </strong>We included 42,629 incident lung cancer patients (58% male). Surgery within three months after diagnosis was performed in 36%, 31%, 29% and 18% of patients aged < 50, 50-69, 70-79 and ≥ 80, respectively. Among patients without surgery, systemic therapy was administered in 77%, 72%, 54% and 25% of patients aged < 50, 50-69, 70-79 and ≥ 80, respectively. Monoclonal antibodies were administered in 15-30% of patients across age groups, and 4% to 15% received protein kinase inhibitors. Overall, 21% of patients remained untreated. In the age groups < 50, 50-69, 70-79 and ≥ 80, this proportions was 9%, 12%, 22% and 48%, respectively.</p><p><strong>Conclusion: </strong>In conclusion, our study provides a comprehensive overview of the therapy of lung cancer patients in Germany and quantitatively demonstrates the considerable differences between age groups. In terms of clinical cancer registration, the results are useful to estimate the completeness of data for the different types of treatment.</p>","PeriodicalId":15118,"journal":{"name":"Journal of Cancer Research and Clinical Oncology","volume":"150 11","pages":"503"},"PeriodicalIF":2.7,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11568014/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142638986","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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: 0
Natural compounds modulate the mechanism of action of tumour-associated macrophages against colorectal cancer: a review. 天然化合物调节肿瘤相关巨噬细胞抗结直肠癌的作用机制:综述。
IF 2.7 3区 医学 Q3 ONCOLOGY Pub Date : 2024-11-15 DOI: 10.1007/s00432-024-06022-8
Weichen Yuan, Jiexiang Zhang, Haibin Chen, Yupei Zhuang, Hongli Zhou, Wenting Li, Wenli Qiu, Hongguang Zhou

Colorectal cancer (CRC) exhibits a substantial morbidity and mortality rate, with its aetiology and pathogenesis remain elusive. It holds significant importance within the tumour microenvironment (TME) and exerts a crucial regulatory influence on tumorigenesis, progression, and metastasis. TAMs possess the capability to foster CRC pathogenesis, proliferation, invasion, and metastasis, as well as angiogenesis, immune evasion, and tumour resistance. Furthermore, TAMs can mediate the prognosis of CRC. In this paper, we review the mechanisms by which natural compounds target TAMs to exert anti-CRC effects from the perspective of the promotional effects of TAMs on CRC, mainly regulating the polarization of TAMs, reducing the infiltration and recruitment of TAMs, enhancing the phagocytosis of macrophages, and regulating the signalling pathways and cytokines, and discuss the potential value and therapeutic strategies of natural compounds-targeting the TAMs pathway in CRC clinical treatment.

结肠直肠癌(CRC)的发病率和死亡率都很高,但其病因和发病机理仍然难以捉摸。它在肿瘤微环境(TME)中具有重要地位,对肿瘤的发生、发展和转移具有关键的调节作用。TAMs 有能力促进 CRC 的发病、增殖、侵袭和转移,以及血管生成、免疫逃避和肿瘤抵抗。此外,TAMs 还能介导 CRC 的预后。本文从TAMs对CRC的促进作用角度出发,综述了天然化合物靶向TAMs发挥抗CRC作用的机制,主要包括调节TAMs的极化、减少TAMs的浸润和募集、增强巨噬细胞的吞噬能力、调节信号通路和细胞因子等,并探讨了天然化合物靶向TAMs通路在CRC临床治疗中的潜在价值和治疗策略。
{"title":"Natural compounds modulate the mechanism of action of tumour-associated macrophages against colorectal cancer: a review.","authors":"Weichen Yuan, Jiexiang Zhang, Haibin Chen, Yupei Zhuang, Hongli Zhou, Wenting Li, Wenli Qiu, Hongguang Zhou","doi":"10.1007/s00432-024-06022-8","DOIUrl":"10.1007/s00432-024-06022-8","url":null,"abstract":"<p><p>Colorectal cancer (CRC) exhibits a substantial morbidity and mortality rate, with its aetiology and pathogenesis remain elusive. It holds significant importance within the tumour microenvironment (TME) and exerts a crucial regulatory influence on tumorigenesis, progression, and metastasis. TAMs possess the capability to foster CRC pathogenesis, proliferation, invasion, and metastasis, as well as angiogenesis, immune evasion, and tumour resistance. Furthermore, TAMs can mediate the prognosis of CRC. In this paper, we review the mechanisms by which natural compounds target TAMs to exert anti-CRC effects from the perspective of the promotional effects of TAMs on CRC, mainly regulating the polarization of TAMs, reducing the infiltration and recruitment of TAMs, enhancing the phagocytosis of macrophages, and regulating the signalling pathways and cytokines, and discuss the potential value and therapeutic strategies of natural compounds-targeting the TAMs pathway in CRC clinical treatment.</p>","PeriodicalId":15118,"journal":{"name":"Journal of Cancer Research and Clinical Oncology","volume":"150 11","pages":"502"},"PeriodicalIF":2.7,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11568041/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142639038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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: 0
Inhibition of NPC1 suppresses cell proliferation and β-catenin signaling activation of liver cancer. 抑制NPC1可抑制肝癌细胞增殖和β-catenin信号激活。
IF 2.7 3区 医学 Q3 ONCOLOGY Pub Date : 2024-11-15 DOI: 10.1007/s00432-024-06023-7
Dan Cao, Han Chen, Min He, Ning Han, Hong Tang

Niemann-Pick Type C1 (NPC1) plays a significant role in the development of liver diseases and liver cancer. Our objective was to investigate the involvement of NPC1 in regulating liver cancer development. We observed that high levels of NPC1 expression in tumor tissues from patients with liver cancer were associated with a poor prognosis. Through in vitro experiments, we found that inhibiting NPC1 expression reduced the proliferation, invasion, and migration of liver cancer cells, while also inducing apoptosis in these cells. Additionally, the inhibition of NPC1 led to decreased activation of Wnt/β-catenin signaling. In vivo studies further supported our findings by demonstrating that the suppression of liver cancer cell growth was effectively achieved through the inhibition of NPC1. Overall, our results strongly indicate that the inhibition of NPC1 suppresses liver cancer cell proliferation. Targeting NPC1 is a promising potential therapeutic strategy for liver cancer.

尼曼-皮克型 C1(Niemann-Pick Type C1,NPC1)在肝脏疾病和肝癌的发展中起着重要作用。我们的目的是研究 NPC1 参与调控肝癌的发展。我们观察到,肝癌患者肿瘤组织中 NPC1 的高水平表达与不良预后有关。通过体外实验,我们发现抑制 NPC1 的表达可减少肝癌细胞的增殖、侵袭和迁移,同时还能诱导这些细胞凋亡。此外,抑制 NPC1 还可减少 Wnt/β-catenin 信号的激活。体内研究进一步证实了我们的发现,即通过抑制 NPC1 可以有效抑制肝癌细胞的生长。总之,我们的研究结果有力地表明,抑制NPC1可抑制肝癌细胞增殖。以NPC1为靶点是一种很有前景的潜在肝癌治疗策略。
{"title":"Inhibition of NPC1 suppresses cell proliferation and β-catenin signaling activation of liver cancer.","authors":"Dan Cao, Han Chen, Min He, Ning Han, Hong Tang","doi":"10.1007/s00432-024-06023-7","DOIUrl":"10.1007/s00432-024-06023-7","url":null,"abstract":"<p><p>Niemann-Pick Type C1 (NPC1) plays a significant role in the development of liver diseases and liver cancer. Our objective was to investigate the involvement of NPC1 in regulating liver cancer development. We observed that high levels of NPC1 expression in tumor tissues from patients with liver cancer were associated with a poor prognosis. Through in vitro experiments, we found that inhibiting NPC1 expression reduced the proliferation, invasion, and migration of liver cancer cells, while also inducing apoptosis in these cells. Additionally, the inhibition of NPC1 led to decreased activation of Wnt/β-catenin signaling. In vivo studies further supported our findings by demonstrating that the suppression of liver cancer cell growth was effectively achieved through the inhibition of NPC1. Overall, our results strongly indicate that the inhibition of NPC1 suppresses liver cancer cell proliferation. Targeting NPC1 is a promising potential therapeutic strategy for liver cancer.</p>","PeriodicalId":15118,"journal":{"name":"Journal of Cancer Research and Clinical Oncology","volume":"150 11","pages":"498"},"PeriodicalIF":2.7,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11568056/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142638999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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: 0
Insights into cancer characteristics among SARS-CoV-2 infected hospitalized patients: a comprehensive analysis from the National Clinical Registry for COVID-19. 洞察SARS-CoV-2感染住院患者的癌症特征:来自COVID-19国家临床登记处的综合分析。
IF 2.7 3区 医学 Q3 ONCOLOGY Pub Date : 2024-11-15 DOI: 10.1007/s00432-024-05966-1
Soumyadip Chatterji, Alka Turuk, Parijat Das, Sanjay Bhattacharya, Sudipta Mukherjee, Pralay Shankar Ghosh, Argha Chatterjee, Aparna Mukerjee, Gunjan Kumar, Aanchal Satija, Kripa Josten, Ashish Bhalla, Pankaj Malhotra, Sourin Bhuniya, Arunansu Talukdar, Soumitra Ghosh, Sanjeev Misra, Pankaj Bhardwaj, Subhranga Chatterjee, Geetha R Menon, Vishal Deo, Vishnu Vardhan Rao

Purpose: Cancer outcome is dependent on multiple predetermining factors including cancer, type of cancer and its related factors. This study aims to investigate the association between COVID-19 & cancer/cancer types, focusing on risk of in-hospital mortality within 30 days of hospitalization of COVID-19 patients with cancer.

Materials and methods: We did a registry (National Clinical Registry for COVID-19) based retrospective observational study including 51,544 patients, of whom 976 were patients with cancer, admitted with COVID-19 between August 2020 and August 2023 across 42 hospitals of India.

Results: Out of 51,544 patients, 976 (1.8%) had cancer. Hematological malignancies made up 15.06% (147 cases), while solid cancers accounted for 29.5% (288 cases), with genitourinary (18.4%, 80 cases), gastrointestinal (15.2%, 49 cases), and lung cancers (10.1%, 34 cases) being the most common. Solid cancers had the highest in-hospital mortality rate at 25%. Survival analysis showed that cancer-related hazards were highest at admission but decreased to levels comparable with other morbidities within nine to ten days. For each cancer type, the hazard was significantly elevated compared to that of the cancer-free (Other Comorbidities and No Comorbiditiy) groups during the initial period of hospitalization. The use of Remdesivir, steroids, and anticoagulants reduced mortality risk, and prior COVID-19 vaccination was protective against mortality across all cancer types.

Conclusion: This study shows that both cancer in general and specific cancer types significantly increase the risk of severe outcomes among SARS-CoV-2-infected patients, especially immediately after hospitalization. The findings highlight the need for close monitoring and personalized interventions for COVID-19 patients with cancer for at least 10 days post-hospitalization, with a more specific high-risk period ranging from 7 to 18 days depending on the type of cancer.

目的:癌症的预后取决于多种决定因素,包括癌症、癌症类型及其相关因素。本研究旨在调查 COVID-19 与癌症/癌症类型之间的关联,重点关注 COVID-19 癌症患者住院 30 天内的院内死亡风险:我们进行了一项基于登记(COVID-19 国家临床登记)的回顾性观察研究,研究对象包括 2020 年 8 月至 2023 年 8 月期间印度 42 家医院收治的 51,544 名 COVID-19 患者,其中 976 名为癌症患者:51,544名患者中,976人(1.8%)患有癌症。血液恶性肿瘤占 15.06%(147 例),实体癌占 29.5%(288 例),其中最常见的是泌尿生殖系统癌症(18.4%,80 例)、胃肠道癌症(15.2%,49 例)和肺癌(10.1%,34 例)。实体癌的院内死亡率最高,为 25%。存活率分析表明,癌症相关危害在入院时最高,但在九到十天内会降低到与其他疾病相当的水平。在住院初期,与无癌症组(其他并发症组和无并发症组)相比,每种癌症类型的危险性都明显升高。使用雷米替韦、类固醇和抗凝血剂可降低死亡风险,而之前接种的COVID-19疫苗对所有癌症类型的死亡率都有保护作用:本研究表明,一般癌症和特定癌症类型会显著增加 SARS-CoV-2 感染者出现严重后果的风险,尤其是在住院后不久。研究结果突出表明,有必要对 COVID-19 癌症患者在住院后至少 10 天内进行密切监测并采取个性化干预措施,根据癌症类型的不同,更具体的高风险期为 7 至 18 天。
{"title":"Insights into cancer characteristics among SARS-CoV-2 infected hospitalized patients: a comprehensive analysis from the National Clinical Registry for COVID-19.","authors":"Soumyadip Chatterji, Alka Turuk, Parijat Das, Sanjay Bhattacharya, Sudipta Mukherjee, Pralay Shankar Ghosh, Argha Chatterjee, Aparna Mukerjee, Gunjan Kumar, Aanchal Satija, Kripa Josten, Ashish Bhalla, Pankaj Malhotra, Sourin Bhuniya, Arunansu Talukdar, Soumitra Ghosh, Sanjeev Misra, Pankaj Bhardwaj, Subhranga Chatterjee, Geetha R Menon, Vishal Deo, Vishnu Vardhan Rao","doi":"10.1007/s00432-024-05966-1","DOIUrl":"10.1007/s00432-024-05966-1","url":null,"abstract":"<p><strong>Purpose: </strong>Cancer outcome is dependent on multiple predetermining factors including cancer, type of cancer and its related factors. This study aims to investigate the association between COVID-19 & cancer/cancer types, focusing on risk of in-hospital mortality within 30 days of hospitalization of COVID-19 patients with cancer.</p><p><strong>Materials and methods: </strong>We did a registry (National Clinical Registry for COVID-19) based retrospective observational study including 51,544 patients, of whom 976 were patients with cancer, admitted with COVID-19 between August 2020 and August 2023 across 42 hospitals of India.</p><p><strong>Results: </strong>Out of 51,544 patients, 976 (1.8%) had cancer. Hematological malignancies made up 15.06% (147 cases), while solid cancers accounted for 29.5% (288 cases), with genitourinary (18.4%, 80 cases), gastrointestinal (15.2%, 49 cases), and lung cancers (10.1%, 34 cases) being the most common. Solid cancers had the highest in-hospital mortality rate at 25%. Survival analysis showed that cancer-related hazards were highest at admission but decreased to levels comparable with other morbidities within nine to ten days. For each cancer type, the hazard was significantly elevated compared to that of the cancer-free (Other Comorbidities and No Comorbiditiy) groups during the initial period of hospitalization. The use of Remdesivir, steroids, and anticoagulants reduced mortality risk, and prior COVID-19 vaccination was protective against mortality across all cancer types.</p><p><strong>Conclusion: </strong>This study shows that both cancer in general and specific cancer types significantly increase the risk of severe outcomes among SARS-CoV-2-infected patients, especially immediately after hospitalization. The findings highlight the need for close monitoring and personalized interventions for COVID-19 patients with cancer for at least 10 days post-hospitalization, with a more specific high-risk period ranging from 7 to 18 days depending on the type of cancer.</p>","PeriodicalId":15118,"journal":{"name":"Journal of Cancer Research and Clinical Oncology","volume":"150 11","pages":"500"},"PeriodicalIF":2.7,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11568054/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142639016","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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: 0
期刊
Journal of Cancer Research and Clinical Oncology
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