Roshanak Derakhshandeh

Dr. Roshanak Derakhshandeh


Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

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

Representative Publications

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Journal Article
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RDRoshanak Derakhshandeh
Roshanak Derakhshandeh
YZYuyi Zhu
Yuyi Zhu
JLJunxin Li
Junxin Li
DHDanubia Hester
Danubia Hester
RYRania Younis
Rania Younis
TWTonya Webb
Tonya Webb
Cancer immunotherapy has emerged as an effective, personalized treatment for certain patients, particularly for those with hematological malignancies. However, its efficacy in breast cancer has been marginal—perhaps due to cold, immune-excluded, or immune-desert tumors. Natural killer T (NKT) cells play a critical role in cancer immune surveillance and are reduced in cancer patients. Thus, we hypothesized that NKT cells could serve as a surrogate marker for immune function. In order to assess which breast cancer patients would likely benefit from immune cell-based therapies, we have developed a quantitative method to rapidly assess NKT function using stimulation with artificial antigen presenting cells followed by quantitative real-time PCR for IFN-γ. We observed a significant reduction in the percentage of circulating NKT cells in breast cancer patients, compared to healthy donors; however, the majority of patients had functional NKT cells. When we compared BC patients with highly functional NKT cells, as indicated by high IFN-γ induction, to those with little to no induction, following stimulation of NKT cells, there was no significant difference in NKT cell number between the groups, suggesting functional loss has more impact than physical loss of this subpopulation of T cells. In addition, we assessed the percentage of tumor-infiltrating lymphocytes and PD-L1 expression within the tumor microenvironment in the low and high responders. Further characterization of immune gene signatures in these groups identified a concomitant decrease in the induction of TNFα, LAG3, and LIGHT in the low responders. We next investigated the mechanisms by which breast cancers suppress NKT-mediated anti-tumor immune responses. We found that breast cancers secrete immunosuppressive lipids, and treatment with commonly prescribed medications that modulate lipid metabolism, can reduce tumor growth and restore NKT cell responses.

20 May 2026 in Biomolecules
Verified
Journal Article
Open access
PDF file
RDRoshanak Derakhshandeh
Roshanak Derakhshandeh
MLMichael Lee
Michael Lee
YZYuyi Zhu
Yuyi Zhu
EAEmmanuel Asiedu
Emmanuel Asiedu
JRJocelyn Reader
Jocelyn Reader
TWTonya Webb
Tonya Webb
Natural killer T (NKT) cells bridge innate and adaptive immune responses and play a critical role in anti-tumor immunity. The goal of the study was to assess NKT cell and T cell function in lymphoma patients and to investigate whether specific cytokines correlate with outcomes and/or immune cell function. Patient diagnoses were confirmed by histology. NKT and T cell number and function were assessed by flow cytometry and stimulation with artificial antigen-presenting cells (aAPCs) followed by ELISA and quantitative RT-PCR (qPCR). Cytokine expression levels were compared using online databases, and protein levels in the plasma were assessed by ELISA. NKT cell activation, indicated by at least 1.5-fold IFN-γ induction over baseline following stimulation, was detected in 82% of healthy donors, compared to 44% of lymphoma patients. Lymphoma patients have significantly higher levels of circulating pro- and anti-inflammatory cytokines IL-10, IL-6, and Sema4D as compared to healthy donors. In addition, NKT cell function in the blood correlated with NKT cell function in the bone marrow in lymphoma patients. We found that aAPC-qPCR can be used to quickly assess immune cell function in cancer patients. Circulating NKT cell function positively correlated with bone marrow NKT cell function, suggesting that circulating NKT responses reflect systemic immune competence. Outcome-associated transcriptomic analyses showed that lower expression of TGF-β, IL-6, IL-10, and IFN-γ mRNA correlated with poorer clinical outcomes, whereas higher Sema4D expression was associated with worse prognosis, identifying Sema4D as a potential immunologic biomarker linked to disease progression and immune dysfunction in B cell lymphoma.