Jeffrey How

Dr. Jeffrey How

orcid

Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 June 2015 in Gynecologic Oncology
Verified
Journal Article
Closed access
JHJeffrey How
Jeffrey How
WGWalter Gotlieb
Walter Gotlieb
JPJ.Z. Press
J.Z. Press
JAJ. Abitbol
J. Abitbol
MPM. Pelmus
M. Pelmus
SLS. Lau
S. Lau

1 November 2012 in Gynecologic Oncology
Verified
Journal Article
Closed access
JHJeffrey How
Jeffrey How
SLSusie Lau
Susie Lau
JPJoshua Press
Joshua Press
AFAlex Ferenczy
Alex Ferenczy
MPManuela Pelmus
Manuela Pelmus
WGWalter Gotlieb
Walter Gotlieb

1 June 2014 in Gynecologic Oncology
Verified
Journal Article
Closed access
Vincent LavouéVincent Lavoué
Vincent Lavoué
XZXing Zeng
Xing Zeng
SLSusie Lau
Susie Lau
JPJoshua Z. Press
Joshua Z. Press
JAJeremie Abitbol
Jeremie Abitbol
WGWalter Gotlieb
Walter Gotlieb


24 February 2021 in Cancers
Verified
Journal Article
Open access
PDF file
JHJeffrey How
Jeffrey How
AJAmir A. Jazaeri
Amir A. Jazaeri
BFBryan Fellman
Bryan Fellman
MDMolly S. Daniels
Molly S. Daniels
SPSuzanna Penn
Suzanna Penn
MYMelinda Yates
Melinda Yates
New therapies, such as poly-ADP ribose polymerase inhibitors (PARPi), and immunotherapy treatments have generated great interest in enhancing individualized molecular profiling of epithelial ovarian cancer (EOC) to improve management of the disease. In EOC patients, putative biomarkers for homologous recombination deficiency (HRD), microsatellite instability (MSI), and tumor mutational burden (TMB) were characterized and correlated with survival outcomes. A series of 300 consecutive EOC patients were enrolled. Patients underwent neoadjuvant chemotherapy (n = 172) or primary cytoreductive surgery (n = 128). Molecular profiling and survival analyses were restricted to the primary cytoreductive surgery cohort due to tissue availability. All patients underwent germline testing for HRD- and MSI-related gene mutations. When sufficient tissue was available, screening for somatic BRCA1/2 mutations, BRCA1 promoter methylation, HRD score (a measure of genomic instability), MSI, and TMB testing were performed. HRD score ≥33 was associated with improved overall survival on multivariable analysis. In the era of biomarker-driven clinical care, HRD score ≥33 may be a useful adjunctive prognostic tool and should be evaluated in future studies to predict PARPi benefits.

28 August 2024 in Nature Reviews Clinical Oncology
Verified
Journal Article
Closed access
PDF file
JHJeffrey How
Jeffrey How
AJAmir A. Jazaeri
Amir A. Jazaeri
SWShannon N. Westin
Shannon N. Westin
BLBarrett C. Lawson
Barrett C. Lawson
AKAnn H. Klopp
Ann H. Klopp
KLKaren H. Lu
Karen H. Lu