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Record W2752188583 · doi:10.1186/s12885-017-3599-4

A survey of the clinicopathological and molecular characteristics of patients with suspected Lynch syndrome in Latin America

2017· article· en· W2752188583 on OpenAlexaff
Bernard Rossi, Edenir Inêz Palmero, Francisco López-Köstner, Carlos Sarroca, Carlos Vaccaro, Florencia Spirandelli, Patrícia Ashton‐Prolla, Yenni Rodríguez, Henrique de Campos Reis Galvão, Rui Manuel Reis, André Escremim de Paula, Luís Gustavo Capochin Romagnolo, Karin Álvarez, Adriana Della Valle, Florencia Neffa, Pablo Kalfayan, Enrique Spirandelli, Sergio Chialina, Melva Gutiérrez‐Angulo, María del Carmen Castro‐Mujica, Julio Sanchez de Monte, Richard Quispe, Sabrina Daniela da Silva, Norma Rossi, Claudia Barletta‐Carrillo, Susana Revollo, Ximena Taborga, L. Lena Morillas, Hélène Tubeuf, Érika Maria Monteiro Santos, Tamara Alejandra Piñero, Constantino Dominguez‐Barrera, Patrik Wernhoff, Alexandra Martins, Eivind Hovig, Pål Møller, Mev Dominguez–Valentin

Bibliographic record

VenueBMC Cancer · 2017
Typearticle
Languageen
FieldMedicine
TopicGenetic factors in colorectal cancer
Canadian institutionsMcGill UniversityJewish General Hospital
FundersHelse Sør-Øst RHFGroupement des Entreprises Françaises dans la lutte contre le CancerFinanciadora de Estudos e ProjetosAssociation Nationale de la Recherche et de la TechnologieHospital de Câncer de Barretos
KeywordsMSH6Lynch syndromeMSH2PMS2MLH1Microsatellite instabilityMedicineGenetic testingGenetic counselingGeneticsOncologyInternal medicineColorectal cancerBiologyCancerDNA mismatch repairMicrosatelliteGene

Abstract

fetched live from OpenAlex

BACKGROUND: Genetic counselling and testing for Lynch syndrome (LS) have recently been introduced in several Latin America countries. We aimed to characterize the clinical, molecular and mismatch repair (MMR) variants spectrum of patients with suspected LS in Latin America. METHODS: Eleven LS hereditary cancer registries and 34 published LS databases were used to identify unrelated families that fulfilled the Amsterdam II (AMSII) criteria and/or the Bethesda guidelines or suggestive of a dominant colorectal (CRC) inheritance syndrome. RESULTS: We performed a thorough investigation of 15 countries and identified 6 countries where germline genetic testing for LS is available and 3 countries where tumor testing is used in the LS diagnosis. The spectrum of pathogenic MMR variants included MLH1 up to 54%, MSH2 up to 43%, MSH6 up to 10%, PMS2 up to 3% and EPCAM up to 0.8%. The Latin America MMR spectrum is broad with a total of 220 different variants which 80% were private and 20% were recurrent. Frequent regions included exons 11 of MLH1 (15%), exon 3 and 7 of MSH2 (17 and 15%, respectively), exon 4 of MSH6 (65%), exons 11 and 13 of PMS2 (31% and 23%, respectively). Sixteen international founder variants in MLH1, MSH2 and MSH6 were identified and 41 (19%) variants have not previously been reported, thus representing novel genetic variants in the MMR genes. The AMSII criteria was the most used clinical criteria to identify pathogenic MMR carriers although microsatellite instability, immunohistochemistry and family history are still the primary methods in several countries where no genetic testing for LS is available yet. CONCLUSION: The Latin America LS pathogenic MMR variants spectrum included new variants, frequently altered genetic regions and potential founder effects, emphasizing the relevance implementing Lynch syndrome genetic testing and counseling in all of Latin America countries.

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)0.001
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 score0.001
Threshold uncertainty score0.227

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0000.000
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 head0.034
GPT teacher head0.304
Teacher spread0.270 · 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

Citations51
Published2017
Admission routes1
Has abstractyes

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