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Marta Łuksza
Researcher at Icahn School of Medicine at Mount Sinai
Publications - 30
Citations - 2219
Marta Łuksza is an academic researcher from Icahn School of Medicine at Mount Sinai. The author has contributed to research in topics: Biology & Acquired immune system. The author has an hindex of 10, co-authored 23 publications receiving 1491 citations. Previous affiliations of Marta Łuksza include Max Planck Society & Uppsala University.
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Journal ArticleDOI
Identification of unique neoantigen qualities in long-term survivors of pancreatic cancer.
Vinod P. Balachandran,Marta Łuksza,Julia N. Zhao,Vladimir Makarov,John Alec Moral,Romain Remark,Brian Herbst,Gokce Askan,Umesh Bhanot,Yasin Senbabaoglu,Daniel K. Wells,Charles Ian Ormsby Cary,Olivera Grbovic-Huezo,Marc A. Attiyeh,Benjamin D. Medina,Jennifer Q. Zhang,Jennifer K. Loo,Joseph Saglimbeni,Mohsen Abu-Akeel,Roberta Zappasodi,Nadeem Riaz,Martin Smoragiewicz,Z. Larkin Kelley,Z. Larkin Kelley,Olca Basturk,Amber L. Johns,R. Scott Mead,Anthony J. Gill,David K. Chang,David K. Chang,Skye McKay,Lorraine A. Chantrill,Venessa T. Chin,Angela Chou,Jeremy L. Humphris,Marina Pajic,Angela Steinmann,Mehreen Arshi,Mehreen Arshi,Ali Drury,Danielle Froio,Danielle Froio,Ashleigh Morgan,Paul Timpson,David Hermann,Claire Vennin,Sean C. Warren,Mark Pinese,Jianmin Wu,Andreia V. Pinho,Katherine Tucker,Lesley Andrews,Jaswinder S. Samra,Jennifer Arena,Jennifer Arena,Nick Pavlakis,Hilda High,Anubhav Mittal,Andrew V. Biankin,Peter Bailey,Sancha Martin,Elizabeth A. Musgrove,Marc D. Jones,Marc D. Jones,Craig Nourse,Nigel B. Jamieson,Alina Stoita,David Williams,Allan D. Spigelman,Nicola Waddell,John V. Pearson,Ann-Marie Patch,Katia Nones,Felicity Newell,Pamela Mukhopadhyay,Venkateswar Addala,Stephen H. Kazakoff,Oliver Holmes,Conrad Leonard,Scott Wood,Christina Xu,Sean M. Grimmond,Oliver Hofmann,Peter Wilson,Angelika N. Christ,Timothy J. C. Bruxner,Ray Asghari,Neil D. Merrett,Darren Pavey,Amitabha Das,Annabel Goodwin,Peter H. Cosman,Kasim Ismail,Chelsie O'Connor,Caroline Cooper,Peter Grimison,James G. Kench,Charbel Sandroussi,Vincent Lam,Duncan J. Mcleod,Adnan Nagrial,Judy Kirk,Virginia James,Michael Texler,Cindy Forest,Krishna Epari,Mo Ballal,David R. Fletcher,Sanjay Mukhedkar,Nikolajs Zeps,Maria Beilin,Kynan Feeney,Nan Q. Nguyen,Andrew Ruszkiewicz,Chris Worthley,John W. Chen,Mark Brooke-Smith,Virginia Papangelis,Andrew D. Clouston,P. Martin,Andrew Barbour,Thomas J. O'Rourke,Jonathan Fawcett,Kellee Slater,Michael Hatzifotis,Peter Hodgkinson,Mehrdad Nikfarjam,James R. Eshleman,Ralph H. Hruban,Christopher L. Wolfgang,Mary Hodgin,Aldo Scarpa,Rita T. Lawlor,Stefania Beghelli,Vincenzo Corbo,Maria Scardoni,Claudio Bassi,Mithat Gonen,Arnold J. Levine,Peter J. Allen,Douglas T. Fearon,Douglas T. Fearon,Miriam Merad,Sacha Gnjatic,Christine A. Iacobuzio-Donahue,Jedd D. Wolchok,Ronald P. DeMatteo,Timothy A. Chan,Benjamin Greenbaum,Taha Merghoub,Taha Merghoub,Steven D. Leach +151 more
TL;DR: In this paper, the authors used genetic, immunohistochemical and transcriptional immunoprofiling, computational biophysics, and functional assays to identify T-cell antigens in long-term survivors of pancreatic cancer.
Journal ArticleDOI
A neoantigen fitness model predicts tumour response to checkpoint blockade immunotherapy
Marta Łuksza,Nadeem Riaz,Vladimir Makarov,Vinod P. Balachandran,Matthew D. Hellmann,Matthew D. Hellmann,Alexander Solovyov,Naiyer A. Rizvi,Taha Merghoub,Arnold J. Levine,Timothy A. Chan,Jedd D. Wolchok,Benjamin Greenbaum +12 more
TL;DR: A fitness model for tumours based on immune interactions of neoantigens that predicts response to immunotherapy and reveals broad similarities between the evolution of tumours and rapidly evolving pathogens.
Journal ArticleDOI
A predictive fitness model for influenza
TL;DR: A fitness model for haemagglutinin is developed that predicts the evolution of the viral population from one year to the next and maps the adaptive history of influenza A and suggests a principled method for vaccine selection.
Journal ArticleDOI
COVID-19 in patients with lung cancer
Jia Luo,Hira Rizvi,Isabel Ruth Preeshagul,Jacklynn V. Egger,David Hoyos,Chaitanya Bandlamudi,Caroline G. McCarthy,Christina Falcon,Adam J. Schoenfeld,Adam J. Schoenfeld,Kathryn C. Arbour,Kathryn C. Arbour,Jamie E. Chaft,Jamie E. Chaft,R.M. Daly,R.M. Daly,Alexander Drilon,Alexander Drilon,Juliana Eng,A. Iqbal,W.V. Lai,W.V. Lai,Bob T. Li,Bob T. Li,Piro Lito,Piro Lito,Azadeh Namakydoust,Kenneth K.-S. Ng,M. Offin,M. Offin,Paul K. Paik,Paul K. Paik,Gregory J Riely,Gregory J Riely,Charles M. Rudin,Charles M. Rudin,Helena A. Yu,Helena A. Yu,Marjorie G. Zauderer,Marjorie G. Zauderer,Mark T.A. Donoghue,Marta Łuksza,Benjamin D. Greenbaum,Mark G. Kris,Mark G. Kris,Matthew D. Hellmann,Matthew D. Hellmann +46 more
TL;DR: COVID-19 was severe in patients with lung cancer and accounted for a minority of overall lung cancer-deaths during the pandemic and largely patient-specific features, including smoking status and chronic obstructive pulmonary disease were largely determinants of severity.
Journal ArticleDOI
Predictive Modeling of Influenza Shows the Promise of Applied Evolutionary Biology
Dylan H. Morris,Katelyn M. Gostic,Simone Pompei,Trevor Bedford,Marta Łuksza,Richard A. Neher,Bryan T. Grenfell,Bryan T. Grenfell,Michael Lässig,John W. McCauley +9 more
TL;DR: The state of influenza predictive modeling is reviewed and next steps and recommendations are discussed to ensure that these models deliver upon their considerable biomedical promise.