Mustafa Khasraw

Dr. Mustafa Khasraw

orcid

Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

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

Representative Publications

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1 June 2020 in CA: A Cancer Journal for Clinicians
Verified
Journal Article
Open access
PDF file
ATAaron C. Tan
Aaron C. Tan
DADavid M. Ashley
David M. Ashley
GLGiselle Y. Yvette López
Giselle Y. Yvette López
MMMichael Malinzak
Michael Malinzak
HFHenry S. Friedman
Henry S. Friedman
MKMustafa Khasraw
Mustafa Khasraw
Glioblastoma is the most common malignant primary brain tumor. Overall, the prognosis for patients with this disease is poor, with a median survival of <2 years. There is a slight predominance in males, and incidence increases with age. The standard approach to therapy in the newly diagnosed setting includes surgery followed by concurrent radiotherapy with temozolomide and further adjuvant temozolomide. Tumor‐treating fields, delivering low‐intensity alternating electric fields, can also be given concurrently with adjuvant temozolomide. At recurrence, there is no standard of care; however, surgery, radiotherapy, and systemic therapy with chemotherapy or bevacizumab are all potential options, depending on the patient's circumstances. Supportive and palliative care remain important considerations throughout the disease course in the multimodality approach to management. The recently revised classification of glioblastoma based on molecular profiling, notably isocitrate dehydrogenase ( IDH ) mutation status, is a result of enhanced understanding of the underlying pathogenesis of disease. There is a clear need for better therapeutic options, and there have been substantial efforts exploring immunotherapy and precision oncology approaches. In contrast to other solid tumors, however, biological factors, such as the blood‐brain barrier and the unique tumor and immune microenvironment, represent significant challenges in the development of novel therapies. Innovative clinical trial designs with biomarker‐enrichment strategies are needed to ultimately improve the outcome of patients with glioblastoma.

14 April 2022 in Neuro-Oncology
Verified
Journal Article
Open access
PDF file
AOAntonio Omuro
Antonio Omuro
ABAlba A Brandes
Alba A Brandes
ACAntoine F Carpentier
Antoine F Carpentier
Ahmed IdbaihAhmed Idbaih
Ahmed Idbaih
DRDavid A Reardon
David A Reardon
MWMichael Weller
Michael Weller
Addition of temozolomide (TMZ) to radiotherapy (RT) improves overall survival (OS) in patients with glioblastoma (GBM), but previous studies suggest that patients with tumors harboring an unmethylated MGMT promoter derive minimal benefit. The aim of this open-label, phase III CheckMate 498 study was to evaluate the efficacy of nivolumab (NIVO) + RT compared with TMZ + RT in newly diagnosed GBM with unmethylated MGMT promoter. Patients were randomized 1:1 to standard RT (60 Gy) + NIVO (240 mg every 2 weeks for eight cycles, then 480 mg every 4 weeks) or RT + TMZ (75 mg/m2 daily during RT and 150–200 mg/m2/day 5/28 days during maintenance). The primary endpoint was OS. A total of 560 patients were randomized, 280 to each arm. Median OS (mOS) was 13.4 months (95% CI, 12.6 to 14.3) with NIVO + RT and 14.9 months (95% CI, 13.3 to 16.1) with TMZ + RT (hazard ratio [HR], 1.31; 95% CI, 1.09 to 1.58; P = .0037). Median progression-free survival was 6.0 months (95% CI, 5.7 to 6.2) with NIVO + RT and 6.2 months (95% CI, 5.9 to 6.7) with TMZ + RT (HR, 1.38; 95% CI, 1.15 to 1.65). Response rates were 7.8% (9/116) with NIVO + RT and 7.2% (8/111) with TMZ + RT; grade 3/4 treatment-related adverse event (TRAE) rates were 21.9% and 25.1%, and any-grade serious TRAE rates were 17.3% and 7.6%, respectively. The study did not meet the primary endpoint of improved OS; TMZ + RT demonstrated a longer mOS than NIVO + RT. No new safety signals were detected with NIVO in this study. The difference between the study treatment arms is consistent with the use of TMZ + RT as the standard of care for GBM. ClinicalTrials.gov NCT02617589

20 November 2019 in Nature
Verified
Journal Article
Closed access
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FBFloris P. Barthel
Floris P. Barthel
KJKevin C. Johnson
Kevin C. Johnson
FVFrederick S. Varn
Frederick S. Varn
AMAnzhela D. Moskalik
Anzhela D. Moskalik
GTGeorgette Tanner
Georgette Tanner
TCThe GLASS Consortium
The GLASS Consortium

1 March 2021 in Clinical Cancer Research
Verified
Journal Article
Open access
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JSJohn H Strickler
John H Strickler
BHBrent A. Hanks
Brent A. Hanks
MKMustafa Khasraw
Mustafa Khasraw
Immune checkpoint inhibitors, including antibodies that block programmed cell death protein-1 (PD-1) and PD-L1, have transformed the management of many cancers. However, the majority of patients have primary or acquired resistance to these immunotherapies. There is a significant unmet need for predictive biomarkers that can reliably identify patients who derive a clinically meaningful response from PD-1/PD-L1 blockade. High tumor mutational burden (TMB-H) has shown promise as a biomarker in lung cancer, but the broad applicability of TMB-H as a biomarker of response across all solid tumors is unclear. The FDA has approved the PD-1 inhibitor, pembrolizumab, as a therapy for all solid tumors with TMB equal to or greater than 10 mutations/megabase as measured by the FoundationOne CDx assay. This approval was based on an exploratory analysis of the KEYNOTE-158 study, which was a single-arm, phase II multi-cohort study of pembrolizumab for select, previously treated advanced solid tumors. Here, we elucidate the caveats of using TMB as a biomarker with a universal threshold across all solid tumors. While we recognize the importance of this and other FDA pan-cancer approvals, several questions about TMB as a predictive biomarker remain unanswered. In this perspective, we discuss clinical trial evidence in this area. We review the relationship between TMB and the tumor immune microenvironment. We highlight the risks of extrapolating evidence from a limited number of tumor histologies to all solid tumors, and we propose avenues for future research.

1 January 2017 in Theranostics
Verified
Journal Article
Open access
DCDavid Lh Chan
David Lh Chan
NPNick Pavlakis
Nick Pavlakis
GSGeoffrey P Schembri
Geoffrey P Schembri
EBElizabeth J Bernard
Elizabeth J Bernard
EHEdward Hsiao
Edward Hsiao
DBDale L Bailey
Dale L Bailey
Background: PET scans using FDG and somatostatin receptor imaging agents have both been used to study neuroendocrine tumours. Most reports have documented the sensitivity and specificity of each radiopharmaceutical independently, and even suggested the superiority of one over the other for different grades of disease.

14 February 2018 in Clinical Cancer Research
Verified
Journal Article
Closed access
PDF file
BABrian M. Alexander
Brian M. Alexander
SBSujuan Ba
Sujuan Ba
MBMitchel S. Berger
Mitchel S. Berger
DBDonald A. Berry
Donald A. Berry
WCWebster K. Cavenee
Webster K. Cavenee
ABAnna D. Barker
Anna D. Barker
Glioblastoma (GBM) is a deadly disease with few effective therapies. Although much has been learned about the molecular characteristics of the disease, this knowledge has not been translated into clinical improvements for patients. At the same time, many new therapies are being developed. Many of these therapies have potential biomarkers to identify responders. The result is an enormous amount of testable clinical questions that must be answered efficiently. The GBM Adaptive Global Innovative Learning Environment (GBM AGILE) is a novel, multi-arm, platform trial designed to address these challenges. It is the result of the collective work of over 130 oncologists, statisticians, pathologists, neurosurgeons, imagers, and translational and basic scientists from around the world. GBM AGILE is composed of two stages. The first stage is a Bayesian adaptively randomized screening stage to identify effective therapies based on impact on overall survival compared with a common control. This stage also finds the population in which the therapy shows the most promise based on clinical indication and biomarker status. Highly effective therapies transition in an inferentially seamless manner in the identified population to a second confirmatory stage. The second stage uses fixed randomization to confirm the findings from the first stage to support registration. Therapeutic arms with biomarkers may be added to the trial over time, while others complete testing. The design of GBM AGILE enables rapid clinical testing of new therapies and biomarkers to speed highly effective therapies to clinical practice. Clin Cancer Res; 24(4); 737–43. ©2017 AACR.