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Enregistrement W2979918361 · doi:10.1097/01.cot.0000603992.76162.8f

New Guidelines for Assessing BRCA1/2-Related Cancers

2019· article· en· W2979918361 sur OpenAlexaboutno aff
Mary Brophy Marcus

Notice bibliographique

RevueOncology Times · 2019
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueBRCA gene mutations in cancer
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésGenetic counselingMedicineGenetic testingBreast cancerFamily historyOvarian cancerGynecologyPopulationFamily medicineBRCA mutationCancerRisk assessmentOncologyInternal medicineGeneticsEnvironmental healthBiology

Résumé

récupéré en direct d'OpenAlex

cancer: cancerIn late August, the U.S. Preventive Services Task Force (USPSTF) issued a new recommendation statement on risk assessment, genetic counseling, and genetic testing for BRCA1/2-related cancer in women. Inherited mutations in BRCA1 and BRCA2 are linked to an increased risk of developing breast, ovarian, peritoneal, and fallopian tube cancers. According to the NIH, women who inherit one of the BRCA genes are at a much higher risk for cancer. For example, approximately 72 percent of women who inherit a harmful BRCA1 mutation and about 69 percent of women who inherit a harmful BRCA2 mutation develop breast cancer by the time they're 80 years old. In the general population, the statistic is much lower, with about 12 percent of women developing breast cancer sometime during their lives. The new USPSTF recommendations say primary care clinicians should assess women who have a personal or family history of breast, ovarian, tubal, or peritoneal cancer. Patients who have an ancestry associated with BRCA1/2 gene mutations should also be assessed for increased risk of the BRCA1 and BRCA2 genetic mutations. Women who come up positive on the risk assessment should then pursue genetic counseling and possibly genetic testing if counseling supports that step. The USPSTF does not recommend routine risk assessment, genetic counseling, or genetic testing for women without the harmful BRCA1/2 gene mutations. “I agree with the recommendations. Women with a family history of breast cancer should be referred for genetic counseling,” stated Anna Weiss, MD, Assistant Professor of Surgery at Harvard Medical School and breast surgical oncologist at Brigham and Women's Hospital. Weiss believes tasking primary care physicians to do risk assessments is key. “Although our internal medicine workforce is overworked and underappreciated, often they are still our first line of defense. We see patients who come from these kinds of referrals all the time,” she said. Patients who know they have a family history of BRCA1/2-related breast cancer should also be proactive. “Our high-risk clinics are probably underutilized. If someone were to have a family history, screening is important,” Weiss added. She noted that primary care physicians should also be looking at other risk factors for breast cancer, which the new recommendations don't cover, including lifestyle factors such as obesity, smoking, alcohol intake, and diet. “All of these things carry with them a potential risk of breast cancer.” Weiss noted that age plays a role, too. Women with a family history of BRCA1/2-related breast cancers are at a higher risk above their peers of developing a breast cancer between the ages of 30 and 50. “Their risk is higher then, in those earlier years, compared to a person who does not have a genetic mutation, and that's when it is most beneficial to detect these mutations. Not to be ageist, though. For patients who are older, it may be important to detect it not only for them, but for their progeny,” Weiss stated. She also agrees with the second piece of the task force recommendation regarding genetic counseling; in the absence of a family history of breast cancer, “the chances of having a BRCA1/2 are pretty low.” Alice Police, MD, Regional Director of Breast Care at Northwell Health Cancer Institute, shared her thoughts on the new recommendations. “I think it's great. Primary care doctors do need to take a more active role in patients with these family histories. I think PCPs should pay attention to family history. They should be thinking about genetics. They should use tools to identify patients at high risk for breast and ovarian cancer,” she noted. But once identified, she believes patients should move on to specialists. “Here at Northwell Health, we have very specific high-risk breast screening program that's really beyond the scope of a primary care doctor. But we'd like the primary care doctors to get those patients over to us,” Police said. A third expert weighed in on screening by primary care physicians. “I think PCPs are definitely qualified,” stated Banu Arun, MD, a breast medical oncologist and Co-Medical Director of the MD Anderson Cancer Genetics Program, noting there are multiple tools they can use. Evaluated by the USPSTF, the following tools have been validated and can accurately estimate the likelihood of carrying a harmful BRCA1/2 gene (JAMA 2019;322(7):652-665): Ontario Family History Assessment Tool Manchester Scoring System Referral Screening Tool Pedigree Assessment Tool 7-Question Family History Screening Tool International Breast Cancer Intervention Study instrument (Tyrer-Cuzick) Brief versions of BRCAPRO However, general breast cancer risk assessment models, such as the National Cancer Institute Breast Cancer Risk Assessment Tool, are not designed to identify BRCA-related cancer risk, the USPSTF noted. Arun also stated that the recommendations don't cover other genes related to breast cancer and hopes to see future screening guidelines developed for those. Mary Brophy Marcus is a contributing writer.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,206
Score d'incertitude au seuil0,605

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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 Opus0,030
Tête enseignante GPT0,375
Écart entre enseignants0,344 · 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 tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
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
Publié2019
Routes d'admission1
Résumé présentoui

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