Biology subjects

Robbins, P. F.

Publications and source records attributed to Robbins, P. F..

4 recordsLinked to original sources

bioRxiv2025

Rapid enrichment of progenitor exhausted neoantigen-specific CD8 T cells from peripheral blood

Neoantigen-reactive peripheral blood lymphocytes (NeoPBL) are tumor-specific T cells found at ultra-low frequencies in the blood. Unlike tumor-infiltrating lymphocytes (TIL), NeoPBL exist in a favorable less dysfunctional phenotypic state in vivo, but their rarity has precluded their effective use as cell therapy. Leveraging a priori knowledge of bona fide neoantigens, we combined high-intensity neoantigen stimulation with bead extraction of neoantigen peptide-pulsed target cells to enable the enrichment of NeoPBL to frequencies comparable to ex vivo cultured TIL over a 28-day period. Throughout this process, NeoPBL demonstrate specific reactivity against autologous tumor organoids and maintain memory-like features, including elevated expression of CD28 and TCF7. We additionally demonstrate that NeoPBL reactivity is polyclonal, encompassing multiple clonotypes that are detectable within in vivo TIL populations, underscoring physiological specificity for the targeted neoantigens. This streamlined process yields clinically relevant cell doses and enables identification and expansion of blood-derived neoantigen-specific TCRs. By potentially avoiding additional surgical risks and protracted delays of TIL and individualized TCR-engineered methods, the NeoPBL platform may have clinical and practical advantages. Ultimately, NeoPBL combines intrinsic cell fitness, minimal invasiveness and rapidity to potentially facilitate personalized adoptive cell therapy for cancer.

immunology↗

bioRxiv2024

Structural characterization and AlphaFold modeling of human T cell receptor recognition of NRAS cancer neoantigens

T cell receptors (TCRs) that recognize cancer neoantigens are important for anti-cancer immune responses and immunotherapy. Understanding the structural basis of TCR recognition of neoantigens provides insights into their exquisite specificity and can enable design of optimized TCRs. We determined crystal structures of a human TCR in complex with NRAS Q61K and Q61R neoantigen peptides and HLA-A1 MHC, revealing the molecular underpinnings for dual recognition and specificity versus wild-type NRAS peptide. We then used multiple versions of AlphaFold to model the corresponding complex structures, given the challenge of immune recognition for such methods. Interestingly, one implementation of AlphaFold2 (TCRmodel2) was able to generate accurate models of the complexes, while AlphaFold3 also showed strong performance, although success was lower for other complexes. This study provides insights into TCR recognition of a shared cancer neoantigen, as well as the utility and practical considerations for using AlphaFold to model TCR-peptide-MHC complexes.

immunology↗

bioRxiv2024

Determining Optimal Placement of Copy Number Aberration Impacted Single Nucleotide Variants in a Tumor Progression History

Intratumoral heterogeneity arises as a result of genetically distinct subclones emerging during tumor progression. These subclones are characterized by various types of somatic genomic aberrations, with single nucleotide variants (SNVs) and copy number aberrations (CNAs) being the most prominent. While single-cell sequencing provides powerful data for studying tumor progression, most existing and newly generated sequencing datasets are obtained through conventional bulk sequencing. Most of the available methods for studying tumor progression from multi-sample bulk sequencing data are either based on the use of SNVs from genomic loci not impacted by CNAs or designed to handle a small number of SNVs via enumerating their possible copy number trees. In this paper, we introduce DETOPT, a combinatorial optimization method for accurate tumor progression tree inference that places SNVs impacted by CNAs on trees of tumor progression with minimal distortion on their variant allele frequencies observed across available samples of a tumor. We show that on simulated data DETOPT provides more accurate tree placement of SNVs impacted by CNAs than the available alternatives. When applied to a set of multi-sample bulk exome-sequenced tumor metastases from a treatment-refractory, triple-positive metastatic breast cancer, DETOPT reports biologically plausible trees of tumor progression, identifying the tree placement of copy number state gains and losses impacting SNVs, including those in clinically significant genes.

cancer biology↗

bioRxiv2020

Internal checkpoint regulates T cell neoantigen reactivity and susceptibility to PD1 blockade

While neoantigen-specific tumor infiltrating lymphocytes (TIL) can be derived from in antigen-expressing tumors, their adoptive transfer fails to consistently elicit durable tumor regression. There has been much focus on the role of activation/exhaustion markers such as PD1, CD39 and TOX in TIL senescence. We found these markers were inversely expressed to Cytokine-Induced SH2 protein (CISH), a negative regulator of TCR signaling and tumor immunity in mice. To evaluate the physiological role of CISH in human TIL we developed a high-efficiency CRIPSR-based method to knock out CISH in fully mature TIL. CISH KO resulted in increased T cell receptor (TCR) avidity, tumor cytolysis and neoantigen recognition. CISH expression in the tumor resections correlated with TIL inactivity against p53 hotspot mutations and CISH KO in TIL unmasked reactivity against these universal neoantigens. While CISH KO resulted in T cell hyperactivation and expansion it did not alter maturation, perhaps by preferential PLC{gamma}-1 and not AKT inhibition. Lastly, CISH KO in T cells increased PD1 expression and the adoptive transfer of Cish KO T cells synergistically combines with PD1 antibody blockade resulting in durable tumor regression and survival in a preclinical animal model. These data offer new insights into the regulation of neoantigen recognition, expression of activation/exhaustion markers, and functional/maturation signals in tumor-specific T cells.

immunology↗