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Enregistrement W2594298541 · doi:10.1158/1538-7445.crc16-ia27

Abstract IA27: Understanding more about risk and prognostic factors: Lessons from the Colon Cancer Family Registry

2017· article· en· W2594298541 sur OpenAlexaboutno aff
Polly A. Newcomb

Notice bibliographique

RevueCancer Research · 2017
Typearticle
Langueen
DomaineMedicine
ThématiqueGenetic factors in colorectal cancer
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésColorectal cancerMedicinePenetranceCancerLynch syndromeFamily historyOncologyFamilial adenomatous polyposisCancer registryDiseaseEpidemiologyInternal medicineGeneticsBiologyGeneDNA mismatch repair

Résumé

récupéré en direct d'OpenAlex

Abstract Background: Colorectal cancer (CRC) is a heterogeneous disease with etiology associated with genetic and epidemiologic factors. Family studies have served as the cornerstone of genetic research on CRC. Studies of multiple-case families led to the discovery of the best characterized CRC susceptibility syndromes: hereditary nonpolyposis colorectal cancer (HNPCC; hereafter called Lynch syndrome) and familial adenomatous polyposis (FAP). The primary genetic bases of these dominant, relatively high-penetrance syndromes were identified. However, somatic and epigenetic alterations in these same genes are involved in sporadic CRC as well. Although these changes are established causes of CRC, many important questions remain, specifically the relation of these genetic and also environmental risk factors in relation to CRC survival. The Colon Cancer Family Registry (CCFR) is an NCI-supported international resource established in 1997 to support interdisciplinary studies on the genetic, somatic, environmental, behavioral, and lifestyle risk factors for CRC. Case subjects with incident colon or rectal cancer were identified via regional, state, and provincial cancer registries in the U.S., Canada and Australasia. Now in its 18th year, the CCFR is the largest registry of colorectal cancers world-wide. In this study, we have now leveraged this cohort to examine the epidemiology, genetics, and molecular characteristics of outcomes after a diagnosis of colorectal cancer. Methods: Over 10,000 participants with incident CRC were recruited into the CCFR between 1998 and 2007 across six international sites; nearly 3,500 deaths have occurred. Each center had slight differences in design and sampling schemes, which ensured a resource that covers the continuum of disease risk for CRC. Risk-factor data, blood and tumor samples, and medical records were collected from participants using standardized protocols. Participants continue to be followed every 5 years for changes in common risk factors, surveillance, and new cancers. Vital status, including cause of death, is recorded. Tumors have been characterized for microsatellite instability (MSI) status, protein expression for mismatch repair mutations (MLH1, MSH2, MSH6 and PMS2), and for point mutations in BRAF V600E and KRAS codons 12 and 13. CpG Island Methylator Phenotype (CIMP) was measured in tumors demonstrating microsatellite instability and the somatic silencing of MLH1 due to DNA methylation was tested in tumors showing loss of MLH1 protein expression. Germline testing was conducted for MutYH mutations in all cases and for MMR gene mutations for all cases showing a loss of gene expression in the respective protein. Genome-wide association studies (GWAS) will soon be completed on all cases. Analyses have been conducted using the CCFR case population as a whole, or using site subsets based on appropriate design and inclusion criteria. Results: Several factors known to be associated with a reduced risk of colorectal cancer, such as physical activity and the use of non-steroidal anti-inflammatory drugs (NSAIDs), were also associated with improved survival, while other such factors, including hormone replacement therapy, were not. Elevated pre-diagnostic BMI was associated with increased risk but modestly elevated post-diagnostic BMI was associated with improved survival. A history of smoking was associated with both increased risk and worse survival. Family history of colorectal cancer, which has consistently been associated with increased risk of disease, was not found to be associated with survival. Similarly, we found in a screen of 18 genetic susceptibility loci, one identified locus in SMAD7 was also associated with survival, but others were not. Tumor microsatellite instability was strongly associated with improved survival. Cases with CIMP positive tumors and/or mutations in BRAF, and/or KRAS were each associated with higher mortality, particularly when those characteristics were combined, where a two-fold increase was observed in cases MSS, CIMP+, and positive for BRAF when compared to cases with MSS tumors and negative for all other markers; a 70% lower mortality was observed in cases with tumors characterized as MSI-high, non-CIMP, and negative for mutations in BRAF and KRAS. Conclusions: The CCFR has shed light on many environmental factors, genetics and tumor characteristics that are related to both incidence and survival. Information gained from studies using this resource provides insight into the biology of this common cancer and importantly may help target messaging on prevention, inform the development of interventions, or tailor recommendations for CRC survivorship care. The greater scientific community has access to this rich resource. Citation Format: Polly A. Newcomb. Understanding more about risk and prognostic factors: Lessons from the Colon Cancer Family Registry. [abstract]. In: Proceedings of the AACR Special Conference on Colorectal Cancer: From Initiation to Outcomes; 2016 Sep 17-20; Tampa, FL. Philadelphia (PA): AACR; Cancer Res 2017;77(3 Suppl):Abstract nr IA27.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,020
score de la tête « metaresearch » (Gemma)0,093
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,053
Score d'incertitude au seuil0,106

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0200,093
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0050,006
Études des sciences et des technologies0,0010,002
Communication savante0,0040,011
Science ouverte0,0030,003
Intégrité de la recherche0,0030,007
Charge utile insuffisante (le modèle a refusé de juger)0,0040,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,300
Tête enseignante GPT0,476
Écart entre enseignants0,177 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2017
Routes d'admission1
Résumé présentoui

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