Kinan Alhallak

Dr. Kinan Alhallak

orcid

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

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

Representative Publications

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3 October 2016 in Biomedical Optics Express
Verified
Journal Article
Open access
PDF file
KAKinan Alhallak
Kinan Alhallak
LRLisa G. Rebello
Lisa G. Rebello
TMTimothy J. Muldoon
Timothy J. Muldoon
KQKyle P. Quinn
Kyle P. Quinn
NRNarasimhan Rajaram
Narasimhan Rajaram
The development of prognostic indicators of breast cancer metastatic risk could reduce the number of patients receiving chemotherapy for tumors with low metastatic potential. Recent evidence points to a critical role for cell metabolism in driving breast cancer metastasis. Endogenous fluorescence intensity of nicotinamide adenine dinucleotide (NADH) and flavin adenine dinucleotide (FAD) can provide a label-free method for assessing cell metabolism. We report the optical redox ratio of FAD/(FAD + NADH) of four isogenic triple-negative breast cancer cell lines with varying metastatic potential. Under normoxic conditions, the redox ratio increases with increasing metastatic potential (168FARN>4T07>4T1), indicating a shift to more oxidative metabolism in cells capable of metastasis. Reoxygenation following acute hypoxia increased the redox ratio by 43 ± 9% and 33 ± 4% in the 4T1 and 4T07 cells, respectively; in contrast, the redox ratio decreased 14 ± 7% in the non-metastatic 67NR cell line. These results demonstrate that the optical redox ratio is sensitive to the metabolic adaptability of breast cancer cells with high metastatic potential and could potentially be used to measure dynamic functional changes that are indicative of invasive or metastatic potential.

28 January 2020 in Cancers
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Journal Article
Open access
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JSJennifer Sun
Jennifer Sun
Barbara MuzBarbara Muz
Barbara Muz
KAKinan Alhallak
Kinan Alhallak
MMMatea Markovic
Matea Markovic
SGShannon Gurley
Shannon Gurley
KAKareem Azab
Kareem Azab
Multiple myeloma (MM) remains to be incurable despite recent therapeutic advances. CD47, an immune checkpoint known as the “don’t eat me” signal, is highly expressed on the surface of various cancers, allowing cancer cells to send inhibitory signals to macrophages and impede phagocytosis and immune response. In this study, we hypothesized that blocking the “don’t eat me” signaling using an anti-CD47 monoclonal antibody will induce killing of MM cells. We report that CD47 expression was directly correlated with stage of the disease, from normal to MGUS to MM. Moreover, MM cells had remarkably higher CD47 expression than other cell populations in the bone marrow. These findings indicate that CD47 is specifically expressed on MM and can be used as a potential therapeutic target. Further, blocking of CD47 using an anti-CD47 antibody induced immediate activation of macrophages, which resulted in induction of phagocytosis and killing of MM cells in the 3D-tissue engineered bone marrow model, as early as 4 hours. These results suggest that macrophage checkpoint immunotherapy by blocking the CD47 “don’t eat me” signal is a novel and promising strategy for the treatment of MM, providing a basis for additional studies to validate these effects in vivo and in patients.

27 November 2020 in Nature Communications
Verified
Journal Article
Open access
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CFCinzia Federico
Cinzia Federico
KAKinan Alhallak
Kinan Alhallak
JSJennifer Sun
Jennifer Sun
KDKathleen Duncan
Kathleen Duncan
FAFeda Azab
Feda Azab
KAKareem Azab
Kareem Azab
Drug resistance and dose-limiting toxicities are significant barriers for treatment of multiple myeloma (MM). Bone marrow microenvironment (BMME) plays a major role in drug resistance in MM. Drug delivery with targeted nanoparticles have been shown to improve specificity and efficacy and reduce toxicity. We aim to improve treatments for MM by (1) using nanoparticle delivery to enhance efficacy and reduce toxicity; (2) targeting the tumor-associated endothelium for specific delivery of the cargo to the tumor area, and (3) synchronizing the delivery of chemotherapy (bortezomib; BTZ) and BMME-disrupting agents (ROCK inhibitor) to overcome BMME-induced drug resistance. We find that targeting the BMME with P-selectin glycoprotein ligand-1 (PSGL-1)-targeted BTZ and ROCK inhibitor-loaded liposomes is more effective than free drugs, non-targeted liposomes, and single-agent controls and reduces severe BTZ-associated side effects. These results support the use of PSGL-1-targeted multi-drug and even non-targeted liposomal BTZ formulations for the enhancement of patient outcome in MM.

1 January 2018 in Journal of Controlled Release
Verified
Journal Article
Closed access
PPPilar de la Puente
Pilar de la Puente
MLMicah J. Luderer
Micah J. Luderer
CFCinzia Federico
Cinzia Federico
AJAbbey Jin
Abbey Jin
RGRebecca C. Gilson
Rebecca C. Gilson
KAKareem Azab
Kareem Azab

7 August 2019 in Pharmaceutical Research
Verified
Journal Article
Closed access
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MLMicah John Luderer
Micah John Luderer
BMBarbara Muz
Barbara Muz
KAKinan Alhallak
Kinan Alhallak
JSJennifer Sun
Jennifer Sun
KWKatherine Wasden
Katherine Wasden
KAKareem Azab
Kareem Azab

1 June 2017 in Journal of Biomedical Optics
Verified
Journal Article
Open access
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KAKinan Alhallak
Kinan Alhallak
SJSamir V. Jenkins
Samir V. Jenkins
DLDavid E. Lee
David E. Lee
NGNicholas P. Greene
Nicholas P. Greene
KQKyle P. Quinn
Kyle P. Quinn
NRNarasimhan Rajaram
Narasimhan Rajaram
Radiation resistance remains a significant problem for cancer patients, especially due to the time required to definitively determine treatment outcome. For fractionated radiation therapy, nearly 7 to 8 weeks can elapse before a tumor is deemed to be radiation-resistant. We used the optical redox ratio of FAD/(FAD+NADH) to identify early metabolic changes in radiation-resistant lung cancer cells. These radiation-resistant human A549 lung cancer cells were developed by exposing the parental A549 cells to repeated doses of radiation (2 Gy). Although there were no significant differences in the optical redox ratio between the parental and resistant cell lines prior to radiation, there was a significant decrease in the optical redox ratio of the radiation-resistant cells 24 h after a single radiation exposure (p=0.01). This change in the redox ratio was indicative of increased catabolism of glucose in the resistant cells after radiation and was associated with significantly greater protein content of hypoxia-inducible factor 1 (HIF-1α), a key promoter of glycolytic metabolism. Our results demonstrate that the optical redox ratio could provide a rapid method of determining radiation resistance status based on early metabolic changes in cancer cells.