Author
Xingwu Wang
Other affiliations: University of Amsterdam
Bio: Xingwu Wang is an academic researcher from City University of Hong Kong. The author has contributed to research in topics: Microsatellite instability. The author has an hindex of 1, co-authored 1 publications receiving 2404 citations. Previous affiliations of Xingwu Wang include University of Amsterdam.
Topics: Microsatellite instability
Papers
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Sage Bionetworks1, Autonomous University of Barcelona2, University of Amsterdam3, City University of Hong Kong4, Netherlands Cancer Institute5, Swiss Institute of Bioinformatics6, University of Texas MD Anderson Cancer Center7, École Polytechnique Fédérale de Lausanne8, Institut Gustave Roussy9, Hospital Clínico San Carlos10, Oregon Health & Science University11, Paris Descartes University12, University of Lausanne13, Katholieke Universiteit Leuven14
TL;DR: An international consortium dedicated to large-scale data sharing and analytics across expert groups is formed, showing marked interconnectivity between six independent classification systems coalescing into four consensus molecular subtypes (CMSs) with distinguishing features.
Abstract: Colorectal cancer (CRC) is a frequently lethal disease with heterogeneous outcomes and drug responses. To resolve inconsistencies among the reported gene expression-based CRC classifications and facilitate clinical translation, we formed an international consortium dedicated to large-scale data sharing and analytics across expert groups. We show marked interconnectivity between six independent classification systems coalescing into four consensus molecular subtypes (CMSs) with distinguishing features: CMS1 (microsatellite instability immune, 14%), hypermutated, microsatellite unstable and strong immune activation; CMS2 (canonical, 37%), epithelial, marked WNT and MYC signaling activation; CMS3 (metabolic, 13%), epithelial and evident metabolic dysregulation; and CMS4 (mesenchymal, 23%), prominent transforming growth factor-β activation, stromal invasion and angiogenesis. Samples with mixed features (13%) possibly represent a transition phenotype or intratumoral heterogeneity. We consider the CMS groups the most robust classification system currently available for CRC-with clear biological interpretability-and the basis for future clinical stratification and subtype-based targeted interventions.
3,351 citations
Cited by
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University of California, San Francisco1, Cold Spring Harbor Laboratory2, Icahn School of Medicine at Mount Sinai3, Oregon Health & Science University4, Wistar Institute5, Huntsman Cancer Institute6, University of Maryland, Baltimore County7, La Jolla Institute for Allergy and Immunology8, University of Pennsylvania9, Harvard University10, University of Michigan11, Massachusetts Institute of Technology12
TL;DR: By parsing the unique classes and subclasses of tumor immune microenvironment (TIME) that exist within a patient’s tumor, the ability to predict and guide immunotherapeutic responsiveness will improve, and new therapeutic targets will be revealed.
Abstract: The clinical successes in immunotherapy have been both astounding and at the same time unsatisfactory. Countless patients with varied tumor types have seen pronounced clinical response with immunotherapeutic intervention; however, many more patients have experienced minimal or no clinical benefit when provided the same treatment. As technology has advanced, so has the understanding of the complexity and diversity of the immune context of the tumor microenvironment and its influence on response to therapy. It has been possible to identify different subclasses of immune environment that have an influence on tumor initiation and response and therapy; by parsing the unique classes and subclasses of tumor immune microenvironment (TIME) that exist within a patient's tumor, the ability to predict and guide immunotherapeutic responsiveness will improve, and new therapeutic targets will be revealed.
2,920 citations
Katholieke Universiteit Leuven1, University of Valencia2, Radboud University Nijmegen3, Sheba Medical Center4, University of Turin5, Hospital Clínico San Carlos6, Université Paris-Saclay7, University of Pisa8, Mayo Clinic9, University of São Paulo10, The Chinese University of Hong Kong11, University of Oxford12, University of Helsinki13, Helsinki University Central Hospital14, Institute of Cancer Research15, Bank of Cyprus16, University of Ioannina17, Odense University Hospital18, University of Amsterdam19, Otto-von-Guericke University Magdeburg20, Geneva College21, Medical University of Vienna22, Martin Luther University of Halle-Wittenberg23, Hebron University24, Imperial College Healthcare25
TL;DR: These ESMO consensus guidelines have been developed based on the current available evidence to provide a series of evidence-based recommendations to assist in the treatment and management of patients with mCRC in this rapidly evolving treatment setting.
2,382 citations
TL;DR: Current insights into novel components of Wnt pathways are reviewed and how Wnt signaling affects maintenance of cancer stem cells, metastasis and immune control are described.
Abstract: Wnt signaling is one of the key cascades regulating development and stemness, and has also been tightly associated with cancer. The role of Wnt signaling in carcinogenesis has most prominently been described for colorectal cancer, but aberrant Wnt signaling is observed in many more cancer entities. Here, we review current insights into novel components of Wnt pathways and describe their impact on cancer development. Furthermore, we highlight expanding functions of Wnt signaling for both solid and liquid tumors. We also describe current findings how Wnt signaling affects maintenance of cancer stem cells, metastasis and immune control. Finally, we provide an overview of current strategies to antagonize Wnt signaling in cancer and challenges that are associated with such approaches.
1,698 citations
Francis Crick Institute1, Fox Chase Cancer Center2, Washington University in St. Louis3, Cold Spring Harbor Laboratory4, Howard Hughes Medical Institute5, Salk Institute for Biological Studies6, Cornell University7, Goethe University Frankfurt8, Fred Hutchinson Cancer Research Center9, Massachusetts Institute of Technology10, Harvard University11, University of Manchester12, New York University13, University of Texas Health Science Center at Houston14, University of Pennsylvania15, Stony Brook University16, Hofstra University17, Weizmann Institute of Science18, Oregon Health & Science University19, University of California, San Francisco20, King's College London21, Johns Hopkins University22
TL;DR: This Consensus Statement issues a call to action for all cancer researchers to standardize assays and report metadata in studies of cancer-associated fibroblasts to advance the understanding of this important cell type in the tumour microenvironment.
Abstract: Cancer-associated fibroblasts (CAFs) are a key component of the tumour microenvironment with diverse functions, including matrix deposition and remodelling, extensive reciprocal signalling interactions with cancer cells and crosstalk with infiltrating leukocytes. As such, they are a potential target for optimizing therapeutic strategies against cancer. However, many challenges are present in ongoing attempts to modulate CAFs for therapeutic benefit. These include limitations in our understanding of the origin of CAFs and heterogeneity in CAF function, with it being desirable to retain some antitumorigenic functions. On the basis of a meeting of experts in the field of CAF biology, we summarize in this Consensus Statement our current knowledge and present a framework for advancing our understanding of this critical cell type within the tumour microenvironment.
1,616 citations
TL;DR: The immune contexture, which is determined by the density, composition, functional state and organization of the leukocyte infiltrate of the tumour, can yield information that is relevant to prognosis, prediction of a treatment response and various other pharmacodynamic parameters.
Abstract: Immunotherapy is currently the most rapidly advancing area of clinical oncology, and provides the unprecedented opportunity to effectively treat, and even cure, several previously untreatable malignancies. A growing awareness exists of the fact that the success of chemotherapy and radiotherapy, in which the patient's disease can be stabilized well beyond discontinuation of treatment (and occasionally is cured), also relies on the induction of a durable anticancer immune response. Indeed, the local immune infiltrate undergoes dynamic changes that accompany a shift from a pre-existing immune response to a therapy-induced immune response. As a result, the immune contexture, which is determined by the density, composition, functional state and organization of the leukocyte infiltrate of the tumour, can yield information that is relevant to prognosis, prediction of a treatment response and various other pharmacodynamic parameters. Several complementary technologies can be used to explore the immune contexture of tumours, and to derive biomarkers that could enable the adaptation of individual treatment approaches for each patient, as well as monitoring a response to anticancer therapies.
1,375 citations