Xin Yang

ORCID: 0000-0003-0037-3790
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About
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Research Areas
  • BRCA gene mutations in cancer
  • Ovarian cancer diagnosis and treatment
  • Genetic Associations and Epidemiology
  • Cancer Genomics and Diagnostics
  • Genetic factors in colorectal cancer
  • Immune Cell Function and Interaction
  • Colorectal Cancer Screening and Detection
  • Epigenetics and DNA Methylation
  • T-cell and B-cell Immunology
  • Global Cancer Incidence and Screening
  • Diabetes and associated disorders
  • Metastasis and carcinoma case studies
  • Cancer-related molecular mechanisms research
  • MicroRNA in disease regulation
  • AI in cancer detection
  • Cancer-related gene regulation
  • Genomic variations and chromosomal abnormalities
  • Prostate Cancer Treatment and Research
  • Genomics and Rare Diseases
  • HIV Research and Treatment
  • RNA modifications and cancer
  • Nutrition, Genetics, and Disease
  • Breast Cancer Treatment Studies
  • Cholangiocarcinoma and Gallbladder Cancer Studies
  • Digital Radiography and Breast Imaging

University of Cambridge
2014-2025

University of Alabama
2017-2025

First Affiliated Hospital of Sichuan Medical University
2024

Southwest Medical University
2024

Sun Yat-sen University
2024

Sun Yat-sen University Cancer Center
2024

Shenzhen University
2024

MRC Epidemiology Unit
2020-2024

Affiliated Hospital of Southwest Medical University
2024

Shenyang The Fourth Hospital of People
2023

Nasim Mavaddat Kyriaki Michailidou Joe Dennis Michael Lush Laura Fachal and 95 more Andrew Lee Jonathan P. Tyrer Ting‐Huei Chen Qin Wang Manjeet K. Bolla Xin Yang Muriel A. Adank Thomas U. Ahearn Kristiina Aittomäki Jamie Allen Irene L. Andrulis Hoda Anton‐Culver Natalia Antonenkova Volker Arndt Kristan J. Aronson Paul L. Auer Päivi Auvinen Myrto Barrdahl Laura E. Beane Freeman Matthias W. Beckmann Sabine Behrens Javier Benı́tez Marina Bermisheva Leslie Bernstein Carl Blomqvist Natalia Bogdanova Stig E. Bojesen Bernardo Bonanni Anne‐Lise Børresen‐Dale Hiltrud Brauch Michael Bremer Hermann Brenner Adam R. Brentnall Ian W. Brock Angela Brooks‐Wilson Sara Y. Brucker Thomas Brüning Barbara Burwinkel Daniele Campa Brian D. Carter Jose E. Castelao Stephen J. Chanock Rowan T. Chlebowski Hans Christiansen Christine L. Clarke J. Margriet Collée Emilie Cordina‐Duverger Sten Cornelissen Fergus J. Couch Angela Cox Simon S. Cross Kamila Czene Mary B. Daly Peter Devilee Thilo Dörk Isabel dos‐Santos‐Silva Martine Dumont Lorraine Durcan Miriam Dwek Diana Eccles Arif B. Ekici A. Heather Eliassen Carolina Ellberg Christoph Engel Mikael Eriksson D. Gareth Evans Peter A. Fasching Jonine D. Figueroa Olivia Fletcher Henrik Flyger Asta Försti Lin Fritschi Marike Gabrielson Manuela Gago‐Dominguez Susan M. Gapstur José Á. García-Sáenz Mia M. Gaudet V. Georgoulias Graham G. Giles I. R. Gilyazova Gord Glendon Mark S. Goldberg David E. Goldgar Anna González‐Neira Grethe I.G. Alnæs Mervi Grip Jacek Gronwald Anne Grundy Pascal Guénel Lothar Haeberle Eric Hahnen Christopher A. Haiman Niclas Håkansson Ute Hamann Susan E. Hankinson

Stratification of women according to their risk breast cancer based on polygenic scores (PRSs) could improve screening and prevention strategies. Our aim was develop PRSs, optimized for prediction estrogen receptor (ER)-specific disease, from the largest available genome-wide association dataset empirically validate PRSs in prospective studies. The development comprised 94,075 case subjects 75,017 control European ancestry 69 studies, divided into training validation sets. Samples were...

10.1016/j.ajhg.2018.11.002 article EN cc-by-nc-nd The American Journal of Human Genetics 2018-12-13
Xin Yang Goska Leslie Alicja Doroszuk Sandra Schneider Jamie Allen and 95 more Brennan Decker Alison M. Dunning James Redman James Scarth Inga Plaskocinska Craig Luccarini Mitul Shah Karen A. Pooley Leila Dorling Andrew Lee Muriel A. Adank Julian Adlard Kristiina Aittomäki Irene L. Andrulis Peter Ang Julian Barwell Jonine L. Bernstein Kristie Bobolis Åke Borg Carl Blomqvist Kathleen Claes Patrick Concannon Adeline Cuggia Julie O. Culver Francesca Damiola Antoine De Pauw Orland Dı́ez Jill S. Dolinsky Susan M. Domchek Christoph Engel D. Gareth Evans Florentia Fostira Judy E. Garber Lisa Golmard Ellen L. Goode Stephen B. Gruber Eric Hahnen Christopher R. Hake Tuomas Heikkinen Judith Hurley Ramūnas Janavičius Zdeněk Kleibl Petra Kleiblová Irene Konstantopoulou Anders Kvist Holly LaDuca Ann S. G. Lee Fabienne Lesueur Eamonn R. Maher Graham J. Mann Siranoush Manoukian Rachel McFarland Wendy McKinnon Alfons Meindl Kelly Metcalfe Nur Aishah Mohd Taib Jukka S. Moilanen Katherine L. Nathanson Susan L. Neuhausen Pei Sze Ng Tú Nguyen‐Dumont Sarah M. Nielsen Florian Obermair Kenneth Offit Olufunmilayo I. Olopade Laura Ottini Judith Penkert Katri Pylkäs Paolo Radice Susan J. Ramus Vilius Rudaitis Lucy Side Rachel Silva‐Smith Valentina Silvestri Anne‐Bine Skytte Thomas Slavin Jana Soukupová Carlo Tondini Alison H. Trainer Gary Unzeitig Lydia Usha Thomas van Overeem Hansen James Whitworth Marie Wood Cheng Har Yip Sook‐Yee Yoon Amal Yussuf George Zogopoulos David E. Goldgar John L. Hopper Georgia Chenevix‐Trench Paul D.P. Pharoah Sophia George Judith Balmañà Claude Houdayer

PURPOSE To estimate age-specific relative and absolute cancer risks of breast to ovarian, pancreatic, male breast, prostate, colorectal cancers associated with germline PALB2 pathogenic variants (PVs) because these have not been extensively characterized. METHODS We analyzed data from 524 families PVs 21 countries. Complex segregation analysis was used (RRs; country-specific population incidences) cancers. The models allowed for residual familial aggregation ovarian were adjusted the...

10.1200/jco.19.01907 article EN Journal of Clinical Oncology 2019-12-16
Shuai Li Valentina Silvestri Goska Leslie Timothy R. Rebbeck Susan L. Neuhausen and 95 more John L. Hopper Henriette Roed Nielsen Andrew Lee Xin Yang Lesley McGuffog Michael T. Parsons Irene L. Andrulis Norbert Arnold Muriel Belotti Åke Borg Bruno Buecher Saundra S. Buys Sandrine M. Caputo Wendy K. Chung Chrystelle Colas Sarah V. Colonna Jackie Cook Mary B. Daly Miguel de la Hoya Antoine De Pauw Hélène Delhomelle Jacqueline Eason Christoph Engel D. Gareth Evans Ulrike Faust Tanja Fehm Florentia Fostira George Fountzilas Megan N. Frone Vanesa Garcı́a Pilar Garré Marion Gauthier‐Villars Andrea Gehrig Gord Glendon David E. Goldgar Lisa Golmard Mark H. Greene Eric Hahnen Ute Hamann Helen Hanson Tiara Hassan Julia Hentschel Judit Horváth Louise Izatt Ramūnas Janavičius Yue Jiao Esther M. John Beth Y. Karlan Sung-Won Kim Irene Konstantopoulou Ava Kwong Anthony Laugé Jong Won Lee Fabienne Lesueur Noura Mebirouk Alfons Meindl Emmanuelle Mouret‐Fourme Hannah Musgrave Joanne Ngeow Dieter Niederacher Sue K. Park Inge Søkilde Pedersen Juliane Ramser Susan J. Ramus Johanna Rantala Muhammad Usman Rashid Florian Reichl Julia Ritter Andreas Rump Marta Santamariña Claire Saule Gunnar Schmidt Rita K. Schmutzler Leigha Senter Saba Shariff Christian F. Singer Melissa C. Southey Dominique Stoppa‐Lyonnet Christian Sutter Yen Y. Tan Soo‐Hwang Teo Mary Beth Terry Mads Thomassen Marc Tischkowitz Amanda E. Toland Diana Torres Ana Vega Sebastian Wagner Shan Wang‐Gohrke Barbara Wappenschmidt Bernhard H. F. Weber Drakoulis Yannoukakos Amanda B. Spurdle Douglas F. Easton Georgia Chenevix‐Trench

To provide precise age-specific risk estimates of cancers other than female breast and ovarian associated with pathogenic variants (PVs) in

10.1200/jco.21.02112 article EN Journal of Clinical Oncology 2022-01-25

Background The multifactorial Breast and Ovarian Analysis of Disease Incidence Carrier Estimation Algorithm (BOADICEA) breast cancer risk prediction model has been recently extended to consider all established factors. We assessed the clinical validity in a large independent prospective cohort. Methods validated BOADICEA (V.6) Swedish KARolinska Mammography Project for Risk Prediction Cancer (KARMA) cohort including 66 415 women European ancestry (median age 54 years, IQR 45–63; 816 incident...

10.1136/jmg-2022-108806 article EN cc-by Journal of Medical Genetics 2022-09-26
Eileen Dareng Jonathan P. Tyrer Daniel R. Barnes Michelle R. Jones Xin Yang and 95 more Katja K.H. Aben Muriel A. Adank Simona Agata Irene L. Andrulis Hoda Anton‐Culver Natalia Antonenkova Gerasimos Aravantinos Banu K. Arun Annelie Augustinsson Judith Balmañà Elisa V. Bandera Rósa B. Barkardóttir Daniel Barrowdale Matthias W. Beckmann Alicia Beeghly‐Fadiel Javier Benı́tez Marina Bermisheva Marcus Q. Bernardini Line Bjørge Amanda Black Natalia Bogdanova Bernardo Bonanni Åke Borg James D. Brenton Agnieszka Budziłowska Ralf Bützow Saundra S. Buys Hui Cai Maria A. Caligo Ian Campbell Rikki A. Cannioto Hayley Cassingham Jenny Chang‐Claude Stephen J. Chanock Kexin Chen Yoke-Eng Chiew Wendy K. Chung Kathleen Claes Sarah V. Colonna Fabienne Lesueur Noura Mebirouk Christoph Engel Rita K. Schmutzler Daniel Barrowdale Eleanor Davies Diana Eccles D. Gareth Evans Linda S. Cook Fergus J. Couch Mary B. Daly Fanny Dao Eleanor Davies Miguel de la Hoya Robin De Putter Joe Dennis Allison DePersia Peter Devilee Orland Dı́ez Yuan Chun Ding Jennifer A. Doherty Susan M. Domchek Thilo Dörk Andreas du Bois Matthias Dürst Diana Eccles Heather Eliassen Christoph Engel D. Gareth Evans Peter A. Fasching James M. Flanagan Renée T. Fortner Eva Macháčková Eitan Friedman Patricia A. Ganz Judy E. Garber Francesca Gensini Graham G. Giles Gord Glendon Andrew K. Godwin Marc T. Goodman Mark H. Greene Jacek Gronwald Eric Hahnen Christopher A. Haiman Niclas Håkansson Ute Hamann Thomas van Overeem Hansen Holly R. Harris Mikael Hartman Florian Heitz Michelle A.T. Hildebrandt Estrid Høgdall Claus Høgdall John L. Hopper Ruea‐Yea Huang

Polygenic risk scores (PRS) for epithelial ovarian cancer (EOC) have the potential to improve stratification. Joint estimation of Single Nucleotide Polymorphism (SNP) effects in models could predictive performance over standard approaches PRS construction. Here, we implemented computationally efficient, penalized, logistic regression (lasso, elastic net, stepwise) individual level genotype data and a Bayesian framework with continuous shrinkage, "select shrink summary statistics" (S4),...

10.1038/s41431-021-00987-7 article EN cc-by European Journal of Human Genetics 2022-01-13

To quantify the contributions of polygenic scores, primary care records (presenting symptoms, medical history and common blood tests) lifestyle factors, for short-term risk prediction colorectal cancer (CRC) in general symptomatic individuals. This prospective cohort study used data from UK Biobank with follow-up until 2018. It included 160 507 participants linked a subcohort 42 782 recent CRC-related symptoms. The outcome was first-recorded CRC diagnosis within 2 years. Dynamic models...

10.1136/bmjonc-2024-000336 article EN cc-by-nc BMJ Oncology 2025-02-01

Identification of alterations in the cellular composition human immune system is key to understanding autoimmune process. Recently, a subset FOXP3+ cells with low CD25 expression was found be increased peripheral blood from systemic lupus erythematosus (SLE) patients, although its functional significance remains controversial. Here we find comparisons healthy donors that frequency within CD127lowCD25low CD4+ T (here defined as CD25lowFOXP3+ cells) patients affected by disease varying...

10.1016/j.jaut.2017.07.009 article EN cc-by Journal of Autoimmunity 2017-07-23

Regulatory T cells (Tregs) expressing FOXP3 are essential for the maintenance of self-tolerance and deficient in many common autoimmune diseases. Immune tolerance is maintained part by IL-2 deficiencies pathway cause reduced Treg function an increased risk autoimmunity. Recent studies expanding Tregs vivo with low-dose achieved major clinical successes highlighting potential to optimize this pleiotropic cytokine inflammatory disease indications. Here we compare clinically approved molecule,...

10.1016/j.jaut.2014.10.002 article EN cc-by Journal of Autoimmunity 2014-10-30

Epithelial tubo-ovarian cancer (EOC) has high mortality partly due to late diagnosis. Prevention is available but may be associated with adverse effects. A multifactorial risk model based on known genetic and epidemiological factors (RFs) for EOC can help identify women at higher who could benefit from targeted screening prevention.

10.1136/jmedgenet-2021-107904 article EN cc-by Journal of Medical Genetics 2021-11-29

Background Genome-wide association studies have identified >30 common SNPs associated with epithelial ovarian cancer (EOC). We evaluated the combined effects of EOC susceptibility on predicting risk in an independent prospective cohort study. Methods genotyped single nucleotide polymorphisms (SNPs) a nested case–control study (750 cases and 1428 controls) from UK Collaborative Trial Ovarian Cancer Screening trial. Polygenic scores (PRSs) were constructed their associations using logistic...

10.1136/jmedgenet-2018-105313 article EN cc-by Journal of Medical Genetics 2018-05-05

Purpose: To establish a clinically applicable genomic clustering system, we investigated the interactive landscape of driver mutations in intrahepatic cholangiocarcinoma (ICC). Methods: The data 1481 ICCs from diverse populations was analyzed to investigate pair-wise co-occurrences or mutual exclusivities among recurrent mutations. Clinicopathological features and outcomes were compared different clusters. Gene expression DNA methylation profiling datasets molecular distinctions mutational...

10.7150/thno.63417 article EN cc-by Theranostics 2021-11-10

Background BOADICEA (v7) predicts future breast cancer (BC) risk using data on family history, genetic markers, questionnaire-based factors and mammographic density (MD) measured the 4-category BI-RADS classification. However, requires manual reading, which is impractical a large scale may cause information loss. Methods We extended to incorporate continuous MD measurements, calculated automated Volpara STRATUS software. used from KARMA cohort (60,276 participants; 1,167 incident BC)....

10.1101/2025.02.14.25322305 preprint EN cc-by medRxiv (Cold Spring Harbor Laboratory) 2025-02-16
Daniel R. Barnes Valentina Silvestri Goska Leslie Lesley McGuffog Joe Dennis and 95 more Xin Yang Julian Adlard Bjarni A. Agnarsson Munaza Ahmed Kristiina Aittomäki Irene L. Andrulis Aðalgeir Arason Norbert Arnold Bernd Auber Jacopo Azzollini Judith Balmañà Rósa B. Barkardóttir Daniel Barrowdale Julian Barwell Muriel Belotti Javier Benı́tez Pascaline Berthet Susanne E. Boonen Åke Borg Anikó Bozsik Angela F. Brady Paul Brennan Carole Brewer Joan Brunet Agostino Bucalo Saundra S. Buys Trinidad Caldés Maria A. Caligo Ian Campbell Hayley Cassingham Lise Lotte Christensen Giulia Cini Kathleen Claes Jackie Cook Anna Coppa Laura Cortesi Giuseppe Damante Esther Darder Rosemarie Davidson Miguel de la Hoya Kim De Leeneer Robin De Putter Jesús Del Valle Orland Dı́ez Yuan Chun Ding Susan M. Domchek Alan Donaldson Jacqueline Eason Rosalind A. Eeles Christoph Engel D. Gareth Evans Lídia Feliubadaló Florentia Fostira Megan N. Frone Debra Frost David Gallagher Andrea Gehrig Sophie Giraud Gord Glendon Andrew K. Godwin David E. Goldgar Mark H. Greene Helen Gregory Eva Groß Eric Hahnen Ute Hamann Thomas van Overeem Hansen Helen Hanson Julia Hentschel Judit Horváth Louise Izatt À. Izquierdo Paul A. James Ramūnas Janavičius Uffe Birk Jensen Oskar T. Johannsson Esther M. John Gero Kramer Lone Kroeldrup Torben A. Kruse Charlotte Kvist Lautrup Conxi Lázaro Fabienne Lesueur Adrià López‐Fernández L. Phuong Siranoush Manoukian Zoltán Mátrai Laura Matricardi Kara N. Maxwell Noura Mebirouk Alfons Meindl Marco Montagna Álvaro N.A. Monteiro Patrick J. Morrison Taru Muranen

Recent population-based female breast cancer and prostate polygenic risk scores (PRS) have been developed. We assessed the associations of these PRS with risks for male BRCA1 BRCA2 pathogenic variant carriers.

10.1093/jnci/djab147 article EN cc-by JNCI Journal of the National Cancer Institute 2021-07-26

Prostate cancer (PCa) is highly heritable. No validated PCa risk model currently exists. We therefore sought to develop a genetic that can provide personalized predicted risks on the basis of known moderate- high-risk pathogenic variants, low-risk common and explicit family history, externally validate in an independent prospective cohort.

10.1200/jco.22.01453 article EN cc-by Journal of Clinical Oncology 2022-12-09

Purpose: The purpose of this study was to evaluate the effectiveness community health worker (CHW) training support adults with hearing loss who are living in rural communities West Central and South Alabama. Knowledge skills, addition degree confidence performing tasks associated aural rehabilitation program, were assessed. Method: Eighteen active their through nonprofit organizations, educational facilities, or had other volunteering experiences, participated study. They received 3 days...

10.1044/2025_jslhr-24-00716 article EN Journal of Speech Language and Hearing Research 2025-03-18

Abstract Breast cancer risk prediction models use a range of predictors to estimate an individual’s chance developing breast in given timeframe. These can facilitate stratification, identify individuals who would benefit most from screening or preventive options. The BOADICEA model, implemented the CanRisk tool (www.canrisk.org), uses genetic, lifestyle, hormonal, family history and anthropometric data risk. When implementing models, predictor are often incomplete. Point-estimates calculated...

10.1158/1538-7445.am2025-4932 article EN Cancer Research 2025-04-21

To evaluate the therapeutic effects of a probiotic supplement (Clostridium butyricum, CGMCC0313) in chemically-induced rat model experimental colitis.An ulcerative colitis was established by rectal injection oxazolone into colon 40 Wistar rats randomly divided four groups. The positive control group sacrificed 3 d after onset. remaining groups were fed daily with either 2 mL C. butyricum (2.3 x 10(11) CFU/L), mesalamine (100 g/L), or 1 sodium butyrate (50 mmol/L) for 21 d. animals' body...

10.3748/wjg.15.1821 article EN cc-by-nc World Journal of Gastroenterology 2009-01-01

The aim of this study was to compare and externally validate risk scores developed predict incident colorectal cancer that include common genetic variants (SNPs), with or without established lifestyle/environmental (questionnaire-based/classical/phenotypic) factors. We validated 23 models from a previous systematic review in 443,888 participants ages 37 73 the UK Biobank cohort who had 6-year prospective follow-up, no prior history cancer, data for incidence through linkage national...

10.1158/1940-6207.capr-19-0521 article EN Cancer Prevention Research 2020-02-18

// Donghui Zhang 1 , Enqin Liu Jian Kang 2 Xin Yang 3 and Hong Department of Infectious Disease, Linyi People’s Hospital, 276000, China Colorectal Surgery, Tai’an City Central 271000, Culverhouse College Commerce Business Administration, The University Alabama, Tuscaloosa, AL 35401, USA Correspondence to: Liu, email: wlb4eo@163.com Keywords: cell cycle, proliferation, hepatocellular carcinoma, hsa-miR-3613-3p Received: May 04, 2017      Accepted: August...

10.18632/oncotarget.21745 article EN Oncotarget 2017-10-10

Unselected population-based personalised ovarian cancer (OC) risk assessment combining genetic/epidemiology/hormonal data has not previously been undertaken. We aimed to perform a feasibility study of OC stratification general population women using tool followed by management. Volunteers were recruited through London primary care networks. Inclusion criteria: ≥18 years. Exclusion prior ovarian/tubal/peritoneal cancer, previous genetic testing for genes. Participants accessed an...

10.3390/cancers12051241 article EN Cancers 2020-05-15

Optimal treatment strategy for severe fever with thrombocytopenia syndrome (SFTS) remained unknown. We aimed to evaluate the efficacy of intravenous immunoglobulin (IVIG) on SFTS.

10.1016/j.ebiom.2023.104807 article EN cc-by-nc-nd EBioMedicine 2023-09-20
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