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Cancer Communications 2022年第7期42卷 587-608页

作者： Xueman Chen Erwei Song Guangdong Provincial Key Laboratory of Malignant tumor Epigenetics and Gene Regulation Guangdong-Hong Kong Joint Laboratory for RNA MedicineSun Yat-sen Memorial HospitalSun Yat-sen UniversityGuangzhouGuangdong 510120P.R.China Breast tumor Center Sun Yat-sen Memorial HospitalSun Yat-sen UniversityGuangzhouGuangdong 510120P.R.China

Cancer cells can be conceived as“living organisms”interacting with cellular or non-cellular components in the host internal environment,not only the local tumor microenvironment but also the distant organ niches,as well as the immune,nervous and endocrine systems,to construct a self-sustainable tumor *** increasing evidence for the systemic tumor-host interplay,we predict that a new era of cancer therapy targeting the ecosystemic vulnerability of human malignancies has *** around the tumor ecosystem scoped as different hierarchies of primary,regional,distal and systemic onco-spheres,we comprehensively review the tumor-host interaction among cancer cells and their local microenvironment,distant organ niches,immune,nervous and endocrine systems,highlighting material and energy flow with tumor ecological homeostasis as an internal driving *** also substantiate the knowledge of visualizing,modelling and subtyping this dynamically intertwined networkwith recent technological advances,and discuss ecologically rational strategies formore effective cancer therapies.

关键词： ecological therapy neuroendocrine system onco-sphere tumor-host interplay pre-metastatic niche tumor ecosystem tumor immunity tumor microenvironment

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Coupling radiomics analysis of CT image with diversification of tumor ecosystem: A new insight to overall survival in stage Ⅰ-Ⅲ colorectal cancer

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Chinese Journal of Cancer Research 2022年第1期34卷 40-52页

作者： Yanqi Huang Lan He Zhenhui Li Xin Chen Chu Han Ke Zhao Yuan Zhang Jinrong Qu Yun Mao Changhong Liang Zaiyi Liu The Second School of Clinical Medicine Southern Medical UniversityGuangzhou 510515China Department of Radiology Guangdong Provincial People’s HospitalGuangdong Academy of Medical SciencesGuangzhou 510080China Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application Guangdong Provincial People’s HospitalGuangdong Academy of Medical SciencesGuangzhou 510080China Department of Radiology the Third Affiliated Hospital of Kunming Medical UniversityYunnan Cancer HospitalYunnan Cancer CenterKunming 650118China Department of Radiology Guangzhou First People’s HospitalSchool of MedicineSouth China University of TechnologyGuangzhou 510180China Department of Radiology the Affiliated Cancer Hospital of Zhengzhou University&Henan Cancer HospitalZhengzhou 450003China Department of Radiology the First Affiliated Hospital of Chongqing Medical UniversityChongqing 400042China

Objective: This study aimed to establish a method to predict the overall survival(OS) of patients with stage Ⅰ-Ⅲ colorectal cancer(CRC) through coupling radiomics analysis of CT images with the measurement of tumor ecosystem ***: We retrospectively identified 161 consecutive patients with stage Ⅰ-Ⅲ CRC who had underwent radical resection as a training cohort. A total of 248 patients were recruited for temporary independent validation as external validation cohort 1, with 103 patients from an external institute as the external validation cohort 2. CT image features to describe tumor spatial heterogeneity leveraging the measurement of diversification of tumor ecosystem, were extracted to build a marker, termed the EcoRad signature. Multivariate Cox regression was used to assess the EcoRad signature, with a prediction model constructed to demonstrate its incremental value to the traditional staging system for OS ***: The EcoRad signature was significantly associated with OS in the training cohort [hazard ratio(HR)=6.670;95% confidence interval(95% CI): 3.433-12.956;Ptumor, node, metastasis(TNM) system, as well as a better calibration,improved reclassification and superior clinical ***: This study establishes a method to measure the spatial heterogeneity of CRC through coupling radiomics analysis with measurement of diversification of the tumor ecosystem, and suggests that this approach could effectively pred

关键词： Radiomics tumor ecosystem spatial heterogeneity survival prediction colorectal cancer

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Cancer cachexia:Focus on cachexia factors and inter-organ communication

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Chinese Medical Journal 2024年第1期137卷 44-62页

作者： Yongfei Wang Zikai Dong Ziyi An Weilin Jin The First Clinical Medical College of Lanzhou University LanzhouGansu 730000China Institute of Cancer Neuroscience Medical Frontier Innovation Research CenterThe First Hospital of Lanzhou UniversityThe First Clinical Medical College of Lanzhou UniversityLanzhouGansu 730000China

Cancer cachexia is a multi-organ syndrome and closely related to changes in signal communication between organs,which is mediated by cancer cachexia *** cachexia factors,being the general name of inflammatory factors,circulating proteins,metabolites,and microRNA secreted by tumor or host cells,play a role in secretory or other organs and mediate complex signal communication between organs during cancer *** cachexia factors are also a potential target for the diagnosis and *** pathogenesis of cachexia is unclear and no clear effective treatment is ***,the treatment of cancer cachexia from the perspective of the tumor ecosystem rather than from the perspective of a single molecule and a single organ is urgently *** the point of signal communication between organs mediated by cancer cachexia factors,finding a deeper understanding of the pathogenesis,diagnosis,and treatment of cancer cachexia is of great significance to improve the level of diagnosis and *** review begins with cancer cachexia factors released during the interaction between tumor and host cells,and provides a comprehensive summary of the pathogenesis,diagnosis,and treatment for cancer cachexia,along with a particular sight on multi-organ signal communication mediated by cancer cachexia *** summary aims to deepen medical community’s understanding of cancer cachexia and may conduce to the discovery of new diagnostic and therapeutic targets for cancer cachexia.

关键词： Cancer cachexia Cancer cachexia factors Inter-organ communication tumor ecosystem tumor microenvironment

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