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Enregistrement W3134672778 · doi:10.1093/jnci/djab037

<i>BRCA1</i>/2 and Endometrial Cancer Risk: Implications for Management

2021· letter· en· W3134672778 sur OpenAlexaff
Mark E. Sherman, William D. Foulkes

Notice bibliographique

RevueJNCI Journal of the National Cancer Institute · 2021
Typeletter
Langueen
DomaineMedicine
ThématiqueOvarian cancer diagnosis and treatment
Établissements canadiensMcGill University
Organismes subventionnairesnon disponible
Mots-clésEndometrial cancerMedicineOncologyGynecologyCancerInternal medicine

Résumé

récupéré en direct d'OpenAlex

In this issue of the Journal, de Jonge et al. (1) provide the strongest evidence to date that BRCA1 and BRCA2 germline pathogenic variants (GPVs) are associated with increased endometrial cancer (EC) risk. Among 5980 women with GPVs within the Hereditary Breast and Ovarian cancer study, the Netherlands (HEBON), they report that GPVs confer increased EC risk versus the general Dutch population (BRCA1, standardized incidence ratio = 3.51, 95% confidence interval = 2.61 to 4.72; BRCA2, standarized incidence ratio = 1.70, 95% confidence interval = 1.01 to 2.87) and that BRCA1 GPV heterozygotes experience higher EC risk compared with HEBON participants whose relatives bear GPVs but who themselves tested negative. EC risks were higher among BRCA1 GPV heterozygotes and for aggressive subtypes, such as those with serous histology or TP53 somatic mutations. Most previous studies addressing EC risk among BRCA1 and BRCA2 GPV heterozygotes have been limited by small sample sizes and/or shorter follow-up (as reviewed in this publication). Although several prior reports have failed to show a statistically significant increased EC risk among heterozygotes, the power of such analyses to detect such risks has often been limited. Notably, 1 large observational study found that both BRCA1 and BRCA2 GPVs were associated with increased EC risk (odds ratio of 3.09 and 2.35, respectively) (2), and 2 smaller studies, focused on the serous subtype (3,4), found substantially increased (but almost certainly inflated) risks for this subtype. One recent systematic review and meta-analysis concluded that women bearing GPVs are at statistically significantly higher risk of developing EC, and especially serous EC, which they contend may be part of the “BRCA1/2 syndrome” (5), whereas another systematic analysis found only modestly increased risks (6). Both reports suggest that the decision to undergo hysterectomy at risk-reducing surgery should reflect personal considerations. Strengths of the current study include the large sample size, lengthy follow-up, pathology review, and quality of the data and analysis. Nonetheless, futures studies are needed to define absolute risks among the youngest women with BRCA1 and BRCA2 GPVs and in racially and ethnically diverse populations. Dramatic increases in incidence and mortality rates related to EC consequent to the obesity epidemic have garnered attention (7), but opportunities for early detection and prevention of EC in genetically disposed high-risk groups have received less emphasis. Genetic risks for EC pose unique considerations, especially for cancer screening and prevention. GPV heterozygotes face choices about whether to undergo risk-reducing surgery, the timing of such surgery, and the extent of surgery needed, which may include salpingectomy with deferred oophorectomy, bilateral salpingo-oophorectomy, and potentially, hysterectomy. If incidental cancers are found with risk-reducing surgery, additional quandaries about the need for staging and therapy arise. Effective surveillance of GPV heterozygotes for EC would need to be long-term; of 19 serous-like ECs in HEBON among carriers, 6 were diagnosed between ages 40 and 60 years and 13 were diagnosed at later ages. Additionally, among women who retain their uteri, EC risk may affect decisions about breast cancer chemoprevention and adjuvant therapy for those affected, because tamoxifen increases EC risk, whereas aromatase inhibitors may lower EC risk (8). Finally, a woman’s decision to retain her uterus limits her choice of menopausal hormone therapy to regimens containing both estrogen and progesterone, which increases risk of breast cancer but not EC; estrogen-only options elevate EC risk and would be contraindicated (9). These considerations are critical as early oophorectomy increases risks of chronic diseases and mortality (10,11). The pathogenesis of serous ECs is poorly understood. Serous ECs are diagnosed 5-10 years later, on average, than endometrioid ECs, and incident rates are higher among African American women, for unknown reasons. It has been hypothesized that serous cancers may develop from the surface endometrial epithelium, rather than from endometrial hyperplasia, the best recognized precursor of the endometrioid subtype (12). In fact, serous endometrial intraepithelial carcinoma (EIC), the presumptive precursor of uterine serous cancers, resembles serous tubal intraepithelial carcinoma (STIC) morphologically; both lesions demonstrate replacement of benign epithelium with high-grade malignant cells that bear TP53 mutations. Discrete tubal lesions resembling STIC are found concurrently with serous ECs in about 10%-20% of cases (13), and EIC, like STIC, may present with metastatic disease, even without invasion in the uterus or fallopian tube, respectively. Failure to identify STIC in many cases of high-grade serous tubo-ovarian cancer has prompted speculations that exfoliation of mutated cells from the fimbria of the tube into the peritoneum could account for such cases (14); however, the possibility that “normal appearing” endometrial cells bearing TP53 mutations or tiny unrecognized EIC lesions could represent another source has not been fully explored. Given the suggestion that serous EC may not respond to standard tubo-ovarian chemotherapy, increased efforts to accurately assign primary sites of serous cancers may have future value in defining treatments (15). Although de Jonge et al. (1) cautiously conclude that it is inappropriate to routinely recommend hysterectomy at the time of risk-reducing surgery, we consider that this is a suitable subject for review by professional bodies such as the Society of Gynecological Oncology, which should include the viewpoints of women facing these decisions. Importantly, whereas all diagnoses of tubo-ovarian carcinomas prompt discussions with patients about genetic testing, the need for testing after a diagnosis of uterine serous carcinomas is not addressed by guidelines, even when the diagnosis occurs at an uncharacteristically young age. Given the potential that high-grade serous carcinomas arising in the fallopian tube, ovary, endometrium, and peritoneum may all share associations with GPVs and that primary sites are not always discernible, we think that all women receiving these diagnoses should be offered genetic testing for BRCA1, BRCA2, and other BRCA-related genes implicated in homologous recombination repair, at time of diagnosis. In summary, although the excellent study by de Jonge and colleagues provides solid evidence that BRCA1 and BRCA2 GPVs increase EC risk by at least two- to threefold, additional large, high-quality studies in diverse populations are needed, especially among African Americans for whom serous EC rates are notably elevated. Studies to define precise absolute age-specific EC risks for specific GPVs in BRCA1 and in BRCA2 and research on the biology of serous cancers are needed to derive evidence-based guidelines. None. Role of the funder: Not applicable. Disclosures: In 2019, Dr Foulkes held funds on behalf of a hospital clinical cancer genetic testing laboratory that were provided by AstraZeneca and used to improve variant classification of BRCA-related genes. Dr Sherman collaborates on research to develop a test to detect endometrial cancer early, which is funded in part by Exact Sciences. Author contributions: Writing, original draft—MES, WDF. Writing, review and editing—MES, WDF. Not applicable.

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)0,002
score de la tête « metaresearch » (Gemma)0,016
Version: metacan-v3-hybrid-931329e0061cStatut 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: Éditorial · Signal consensuel: aucune
Score de désaccord entre enseignants0,031
Score d'incertitude au seuil0,041

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,016
Méta-épidémiologie (sens strict)0,0000,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0040,002
Communication savante0,0020,002
Science ouverte0,0010,001
Intégrité de la recherche0,0310,018
Charge utile insuffisante (le modèle a refusé de juger)0,0100,004

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 Opus0,083
Tête enseignante GPT0,367
Écart entre enseignants0,284 · 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'étudeSans objet
Domainenon disponible
GenreÉditorial

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

En bref

Citations12
Publié2021
Routes d'admission1
Résumé présentnon

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