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Record W3049139822 · doi:10.1038/s41467-020-17917-8

Genomic characterization of malignant progression in neoplastic pancreatic cysts

2020· article· en· W3049139822 on OpenAlexaff
Michaël Noë, Noushin Niknafs, Catherine G. Fischer, Wenzel M. Hackeng, Violeta Beleva Guthrie, Waki Hosoda, Marija Debeljak, Eniko Papp, Vilmos Adleff, James R. White, Claudio Luchini, Antonio Pea, Aldo Scarpa, Giovanni Butturini, Giuseppe Zamboni, M. Paola Castelli, Seung‐Mo Hong, Shinichi Yachida, Nobuyoshi Hiraoka, Anthony J. Gill, Jaswinder S. Samra, G. Johan A. Offerhaus, Anne Hoorens, Joanne Verheij, Casper Jansen, Volkan Adsay, Wei Jiang, Jordan M. Winter, Jorge Albores‐Saavedra, Benoît Terris, Elizabeth D. Thompson, Nicholas J. Roberts, Ralph H. Hruban, Rachel Karchin, Robert B. Scharpf, Lodewijk A.A. Brosens, Victor E. Velculescu, Laura D. Wood

Bibliographic record

VenueNature Communications · 2020
Typearticle
Languageen
FieldMedicine
TopicPancreatic and Hepatic Oncology Research
Canadian institutionsPancreas Centre (Canada)
FundersPanKind, The Australian Pancreatic Cancer FoundationLisa Waller Hayes FoundationEmerson CollectiveNational Cancer InstituteNational Institutes of HealthIncyteRolfe Pancreatic Cancer FoundationGerald O. Mann Charitable FoundationNational Institute of Diabetes and Digestive and Kidney DiseasesSidney Kimmel Foundation for Cancer ResearchDr. Miriam and Sheldon G. Adelson Medical Research Foundation
KeywordsDysplasiaPancreatic cancerIntraductal papillary mucinous neoplasmBiologyExome sequencingMalignant transformationPathologyAdenocarcinomaCancerCancer researchPancreasMedicineMutationGeneGeneticsEndocrinology

Abstract

fetched live from OpenAlex

Intraductal papillary mucinous neoplasms (IPMNs) and mucinous cystic neoplasms (MCNs) are non-invasive neoplasms that are often observed in association with invasive pancreatic cancers, but their origins and evolutionary relationships are poorly understood. In this study, we analyze 148 samples from IPMNs, MCNs, and small associated invasive carcinomas from 18 patients using whole exome or targeted sequencing. Using evolutionary analyses, we establish that both IPMNs and MCNs are direct precursors to pancreatic cancer. Mutations in SMAD4 and TGFBR2 are frequently restricted to invasive carcinoma, while RNF43 alterations are largely in non-invasive lesions. Genomic analyses suggest an average window of over three years between the development of high-grade dysplasia and pancreatic cancer. Taken together, these data establish non-invasive IPMNs and MCNs as origins of invasive pancreatic cancer, identifying potential drivers of invasion, highlighting the complex clonal dynamics prior to malignant transformation, and providing opportunities for early detection and intervention.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.260
Threshold uncertainty score0.283

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.038
GPT teacher head0.364
Teacher spread0.325 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations137
Published2020
Admission routes1
Has abstractyes

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Same venueNature CommunicationsSame topicPancreatic and Hepatic Oncology ResearchFrench-language works237,207