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Spatial metabolomics for evaluating response to neoadjuvant therapy in non-small cell lung cancer patients

cancer communications 2022年第6期42卷 517-535页

作者： Jian Shen Na Sun philipp Zens Thomas Kunzke Achim Buck Verena M.prade Jun Wang Qian Wang Ronggui Hu Annette Feuchtinger Sabina Berezowska Axel Walch Research Unit Analytical pathology Helmholtz Zentrum Munchen-German Research Center for Environmental HealthNeuherberg 85764Germany Institute of pathology University of BernBern 3008Switzerland Graduate School for Health Sciences University of BernMittelstrasse 43Bern 3012Switzerland center for Excellence in Molecular cell Science Chinese Academy of SciencesShanghai 200031P.R.China Department of Laboratory Medicine and pathology Institute of PathologyLausanne University Hospital and University of LausanneLausanne 1011Switzerland

Background:The response to neoadjuvant chemotherapy(NAc)differs substantially among individual patients with non-small cell lung cancer(NScLc).Major pathological response(MpR)is a histomorphological read-out used to assess treatment response and prognosis in patientsNScLc *** spatial metabolomics is a promising tool for evaluating metabolic phenotypes,it has not yet been utilized to assess therapy responses in patients with *** evaluated the potential application of spatial metabolomics in cancer tissues to assess the response to NAc,using a metabolic classifier that utilizes mass spectrometry imaging combined with machine ***:Resected NScLc tissue specimens obtained after NAc(n=88)were subjected to high-resolution mass spectrometry,and these data were used to develop an approach for assessing the response to NAc in patients with *** specificities of the generated tumor cell and stroma classifiers were validated by applying this approach to a cohort of biologically matched chemotherapy-naive patients with NScLc(n=85).Results:The developed tumor cell metabolic classifier stratified patients into different prognostic groups with 81.6%accuracy,whereas the stroma metabolic classifier displayed 78.4%*** contrast,the accuracies of MpR and TNM staging for stratification were 62.5%and 54.1%,*** combination of metabolic and MpR classifiers showed slightly lower accuracy than either individual metabolic *** multivariate analysis,metabolic classifiers were the only independent prognostic factors identified(tumor:p=0.001,hazards ratio[HR]=3.823,95%confidence interval[cI]=1.716-8.514;stroma:p=0.049,HR=2.180,95%cI=1.004-4.737),whereasMpR(p=0.804;HR=0.913;95%cI=0.445-1.874)and TNM staging(p=0.078;HR=1.223;95%cI=0.977-1.550)were not independent prognostic *** Kaplan-Meier survival analyses,both tumor and stroma metabolic classifiers were able to further stratify patients as NAc responders(p<0.001)and non

关键词： cancer metabolism machine learning mass spectrometry imaging metabolic classifier Nonsmall cell lung cancer prognosis spatial metabolomics treatment response

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Fungal diversity notes 1611-1716: taxonomic and phylogenetic contributions on fungal genera and species emphasis in south china

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Fungal Diversity 2023年第5期122卷 161-403页

作者： Indunil c.Senanayake Walter Rossi Marco Leonardi Alex Weir Mark McHugh Kunhiraman c.Rajeshkumar Rajnish K.Verma Samantha c.Karunarathna Saowaluck Tibpromma Nikhil Ashtekar Sreejith K.Ashtamoorthy Sanjay Raveendran Gurmeet Kour Aishwarya Singh Saúl De la peña-Lastra Antonio Mateos Miroslav Kolařík Vladimír Antonín HanaŠevčíková Fernando Esteve-Raventós Ellen Larsson Fermín pancorbo Gabriel Moreno Alberto Altés Yolanda Turégano Tian-Ye Du Li Lu Qi-Rui Li Ji-chuan Kang Sugantha Gunaseelan Kezhocuyi Kezo Malarvizhi Kaliyaperumal Jizhen Fu Milan c.Samarakoon Yusufjon Gafforov Shakhnoza Teshaboeva prade.p c.kunjan Arya chamaparambath Adam Flakus Javier Etayo pamela Rodriguez-Flakus Mikhail p.Zhurbenko Nimali Ide Silva Danushka S.Tennakoon KpDeepna Latha patinjareveettil Manimohan KNAnil Raj Mark S.calabon Abdollah Ahmadpour Zeinab Heidarian Zahra Alavi Fatemeh Alavi Youbert Ghosta Razmig Azizi Mei Luo Min-ping Zhao Nuwan D.Kularathnage Li Hua Yun-Hui Yang chun-Fang Liao Hai-Jun Zhao Anis S.Lestari Subashini c.Jayasiri Feng-Ming Yu Lei Lei Jian-Wei Liu Omid Karimi Song-Ming Tang Ya-Ru Sun Yong Wang Ming Zeng Zin H.Htet Benedetto T.Linaldeddu Artur Alves Alan J.L.phillips carlo Bregant Lucio Montecchio AndréDe Kesel Vincent p.Hustad Andrew N.Miller Anna G.Fedosova Viktor Kučera Mubashar Raza Muzammil Hussain Yan-peng chen Vinodhini Thiyagaraja Deecksha Gomdola Achala R.Rathnayaka Asha J.Dissanayake Nakarin Suwannarach Sinang Hongsanan Sajeewa S.N.Maharachchikumbura Lakmali S.Dissanayake Nalin N.Wijayawardene Rungtiwa phookamsak Saisamorn Lumyong E.B.Gareth Jones Neelamanie Yapa Dhanushka N.Wanasinghe Ning Xie Mingkwan Doilom Ishara S.Manawasinghe Jian-Kui(Jack)Liu Qi Zhao Biao Xu Kevin D.Hyde Jiage Song Innovative Institute for plant Health/Key Laboratory of Green prevention and control On Fruits and Vegetables in South china Ministry of Agriculture and Rural AffairsZhongkai University of Agriculture and EngineeringHaizhu DistrictGuangzhou 510225GuangdongChina center of Excellence in Fungal Research Mae Fah Luang UniversityChiang Rai 57100Thailand Guangdong provincial Key Laboratory for plant Epigenetics College of Life Science and OceanographyShenzhen University3688Nanhai AvenueNanshanShenzhen 518055GuangdongChina Sect.Environmental Sciences Department MeSVAUniversity of L’AquilaVia Vetoio67100 CoppitoAQItaly Department of Environmental Biology SUNY-ESF241 Illick Hall1 Forestry DriveSyracuseNY 13210USA National Fungal culture collection of India MACS Agharkar Research InstitutePuneMaharashtra 411004India Department of plant pathology Punjab Agricultural UniversityLudhianaPunjab 141004India center for Yunnan plateau Biological Resources protection and Utilization College of Biological Resource and Food EngineeringQujing Normal UniversityQujing 655011YunnanChina Department of Forest Ecology Kerala Forest Research InstitutePeechiThrissurKerala 680653India Department of Botany The American CollegeTallakkulamMaduraiTamil Nadu 625002India Department of Zoology Savitribai Phule Pune UniversityGaneshkhind RdGaneshkhindPuneMaharashtra 411007India University of Santiago de compostela 15782 Santiago de CompostelaSpain Sociedad Micológica Extremeña C/Sagitario 1410001 CáceresSpain Institute of Microbiology of the czech Academy of Sciences Vídeňská108314220 Prague 4Czech Republic Department of Botany Moravian MuseumZelnýtrh 665937 BrnoCzech Republic Department of Life Sciences(Botany Unit) University of Alcalá28805 Alcaláde HenaresMadridSpain Biological and Enviromental Sciences University of Gothemburgand Gothemburg Global Biodiversity CentreBox 46140530 GöteborgSweden Madrid Mycological Society Real Jardín BotánicoC/Claudio Moyano 128014 MadridSpain State Ke

This article is the 15th contribution in the Fungal Diversity Notes series,wherein 115 taxa from three phyla,nine classes,28 orders,48 families,and 64 genera are *** taxa described and illustrated in the present study include a new family,five new genera,61 new species,five new combinations,one synonym,one new variety and 31 records on new hosts or new geographical *** *** introduced and accommodated in *** new genera introduced in this study are Ageratinicola,Kevinia,pseudomultiseptospora(parabambusicolaceae),Marasmiellomycena,and Vizzinia(porotheleaceae).Newly described species are Abrothallus altoandinus,Ageratinicola kunmingensis,Allocryptovalsa aceris,Allophoma yuccae,Apiospora cannae,***,***,Boeremia wisteriae,calycina papaeana,clypeo-coccum lichenostigmoides,coniochaeta riskali-shoyakubovii,cryphonectria kunmingensis,Diaporthe angustiapiculata,***,***,Diatrypella guangdongense,Dothiorella franceschinii,Endocalyx phoenicis,Epicoc-cum terminosporum,Fulvifomes karaiensis,***,Ganoderma ghatensis,Hysterobrevium baoshanense,Inocybe avellaneorosea,***,Jahnula oblonga,Kevinia lignicola,Kirschsteiniothelia guangdongensis,Laboulbenia caprina,***,***,***,***,***,***,***,***,Laccaria rubriporus,Lasiodiplodia morindae,Lyophyllum agnijum,Marasmiellomycena pseudoomphaliiformis,Melomastia beihaiensis,Nemania guangdongensis,Nigrograna thailandica,Nigrospora ficuum,Oxydothis chinensis,***,petriella thailandica,phaeoacremonium chinensis,phialocephala chinensis,phytophthora debattistii,polyplosphaeria nigrospora,pronectria loweniae,Seriascoma acutispora,Setoseptoria bambusae,Stictis anomianthi,Tarzetta tibetensis,Tarzetta urceolata,Tetraploa obpyriformis,Trichoglossum beninense,and Tricoderma *** provide an emendation for Urnula ailaoshanensis Agaricus duplocingulatoides *** i

关键词： Agaricomycetes Ascomycota Basidiomycota Dothideomycetes Eurotiomycetes Fungal diversity Geoglossomycetes Geographical distribution Host records Incertae sedis Laboulbeniomycetes Lecanoromycetes Leotiomycetes Novel taxa New combination Oomycota peronosporea pezizomycetes phylogeny Sordariomycetes South chinese fungi Taxonomy

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采用改良的临床MRI序列研究青少年剥脱性骨软骨炎骺软骨起源和随后骨的表现:初步研究

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国际医学放射学杂志 2017年第3期 339-339页

作者： J.Ellermann c.p.Johnson L.Wang J.A.Macalena B.J.Nelson R.F.La prade 卫淑芳 Department of Radiology and center for Magnetic Resonance Research University of Minnesota Medical Center

摘要目的回顾性评估是否改良临床MR成像序列能够提供青少年剥脱性骨软骨炎(JOcD)病变起源的信息,并基于JOcD自然史进行分期以便更好地指导该病的临床。材料与方法该研究通过了机构伦理委员会批准,符合HIpAA。对13例病人(年龄10～22岁,平... 详细信息

摘要目的回顾性评估是否改良临床MR成像序列能够提供青少年剥脱性骨软骨炎(JOcD)病变起源的信息,并基于JOcD自然史进行分期以便更好地指导该病的临床。材料与方法该研究通过了机构伦理委员会批准,符合HIpAA。对13例病人(年龄10～22岁,平均14.9岁;男9例,女4例)和1例做比较的病人(44岁男性)进行了回顾性研究,对其中19个膝关节的20个JOcD病变进行成像,包括股骨内侧髁17个,股骨外侧髁2个,股骨内侧滑车1个。增补的3 T

关键词：剥脱性骨软骨炎 MRI 成像序列骺软骨

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