Recent Advances in Pathology: the 2022 Annual Review Issue of The Journal of Pathology
Jazyk angličtina Země Anglie, Velká Británie Médium print
Typ dokumentu úvodníky, úvodní články
PubMed
35635736
DOI
10.1002/path.5972
Knihovny.cz E-zdroje
- Klíčová slova
- 3D reconstruction, DNA sequencing, PAR1, PAR2, QuPath, adult stem cells, artificial intelligence, asthma, biomarkers, breast cancer, cancer, cancer-adjacent tissues, cancer-associated fibroblasts, chromothripsis, chronic obstructive pulmonary disease, clonal dynamics, clonality analysis, colon, computational pathology, convolutional neural networks, copy number aberrations, copy number signatures, cystic fibrosis, data repository, desquamation, digital pathology, epidermal inflammation, epidermis, epithelial transition states, extrachromosomal DNA, field cancerisation, filaggrin, functional pathology, genomics, haemopoietic stem cells, host, idiopathic pulmonary fibrosis, image analysis, image processing, immune checkpoint inhibitors, immune system, immunotherapy, in situ hybridisation, in vivo models, intestinal stem cells, intra-tumour heterogeneity, kallikrein-related peptidases, lineage tracing, lung atlas, lung diseases, lung progenitors, lung stem cells, machine learning, metabolome, microbiome, mutational signatures, open science, patient stratification, prediction, prognosis, protease inhibitors, proteolytic cascades, quantitative methods, single cell DNA sequencing, single cell RNA sequencing, single cell transcriptomics, skin diseases, skin physiology, software, structural variants, subclone, tumour evolution, tumour phylogeny, virtual slide, whole genome sequencing, whole-slide imaging, whole-slide scanning,
- MeSH
- lidé MeSH
- mutace MeSH
- nádorové mikroprostředí genetika MeSH
- nádory * genetika patologie MeSH
- software MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- úvodní články MeSH
- úvodníky MeSH
- Geografické názvy
- Spojené království MeSH
The 2022 Annual Review Issue of The Journal of Pathology, Recent Advances in Pathology, contains 15 invited reviews on research areas of growing importance in pathology. This year, the articles include those that focus on digital pathology, employing modern imaging techniques and software to enable improved diagnostic and research applications to study human diseases. This subject area includes the ability to identify specific genetic alterations through the morphological changes they induce, as well as integrating digital and computational pathology with 'omics technologies. Other reviews in this issue include an updated evaluation of mutational patterns (mutation signatures) in cancer, the applications of lineage tracing in human tissues, and single cell sequencing technologies to uncover tumour evolution and tumour heterogeneity. The tissue microenvironment is covered in reviews specifically dealing with proteolytic control of epidermal differentiation, cancer-associated fibroblasts, field cancerisation, and host factors that determine tumour immunity. All of the reviews contained in this issue are the work of invited experts selected to discuss the considerable recent progress in their respective fields and are freely available online (https://onlinelibrary.wiley.com/journal/10969896). © 2022 The Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.
Department of Histopathology The Royal National Orthopaedic Hospital NHS Trust London UK
Edinburgh Pathology Institute of Genetics and Cancer University of Edinburgh Edinburgh UK
RECAMO Masaryk Memorial Cancer Institute Brno Czech Republic
Sarcoma Biology and Genomics Group UCL Cancer Institute London UK
The Pathological Society of Great Britain and Ireland London UK
Zobrazit více v PubMed
Zarella MD, Alvarez KR. High throughput whole-slide scanning to enable large-scale data repository building. J Pathol 2022; 257: 383-390.
Bankhead P. Developing image analysis methods for digital pathology. J Pathol 2022; 257: 391-402.
Kramer CJH, Vreeswijk MPG, Thijssen B, et al. Beyond the snapshot: optimizing prognostication and prediction by moving from fixed to functional multidimensional cancer pathology. J Pathol 2022; 257: 403-412.
Viswanthan VS, Toro P, Corredor G, et al. The state of the art for artificial intelligence in lung digital pathology. J Pathol 2022; 257: 413-429.
Cifci D, Foersch S, Kather JN. Artificial intelligence to identify genetic alterations in conventional histopathology. J Pathol 2022; 257: 430-444.
Dent A, Diamandis P. Integrating computational pathology and proteomics to address tumor heterogeneity. J Pathol 2022; 257: 445-453.
Steele CD, Pillay N, Alexandrov LB. An overview of mutational and copy number signatures in human cancer. J Pathol 2022; 257: 454-465.
Bowes A, Tarabichi M, Pillay N, et al. Leveraging single-cell sequencing to unravel intratumour heterogeneity and tumour evolution in human cancers. J Pathol 2022; 257: 466-478.
Hamdan A, Ewing A. Unravelling the tumour genome: the evolutionary and clinical impacts of structural variants in tumourigenesis. J Pathol 2022; 257: 479-493.
Carraro G, Stripp BR. Insights gained in the pathology of lung disease through single cell transcriptomics. J Pathol 2022; 257: 494-500.
Gabbutt C, Wright NA, Baker AM, et al. Lineage tracing in human tissues. J Pathol 2022; 257: 501-512.
Gunjur A, Manrique-Rincón AJ, Klein O, et al. ‘Know thyself’ - host factors influencing cancer response to immune checkpoint inhibitors. J Pathol 2022; 257: 513-525.
Menezes S, Okail MH, Jalil SMA, et al. Cancer-associated fibroblasts in pancreatic cancer: new subtypes, new markers, new targets. J Pathol 2022; 257: 526-544.
Sotiropoulou G, Zingkou E, Pampalakis G. Reconstructing the epidermal proteolytic cascades in health and disease. J Pathol 2022; 257: 545-560.
Gadaleta E, Thorn GJ, Ross-Adams H, et al. Field cancerization in breast cancer. J Pathol 2022; 257: 561-574.
