Gordon B. Mills
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View article: Patient-Derived Xenograft Models of Fanconi Anemia-Associated Head and Neck Cancer Identify Personalized Therapeutic Strategies
Patient-Derived Xenograft Models of Fanconi Anemia-Associated Head and Neck Cancer Identify Personalized Therapeutic Strategies Open
Fanconi anemia (FA) confers a high risk (~700-fold increase) of solid tumor formation, most often head and neck squamous cell carcinoma (HNSCC). FA germline DNA repair defects preclude administration of most chemotherapies and prior hemato…
View article: CD8+ T cells in the tumor microenvironment modulate response to endocrine therapy in breast cancer
CD8+ T cells in the tumor microenvironment modulate response to endocrine therapy in breast cancer Open
The role of the tumor immune microenvironment (TIME) in modulating responses to antiestrogen therapy in hormone receptor-positive (HR+) breast cancers remains unclear. We analyzed pre- and on-treatment biopsies from patients with HR+ breas…
View article: Tumor-intrinsic MHC-II activation in pancreatic ductal adenocarcinoma enhances immune response and treatment efficacy
Tumor-intrinsic MHC-II activation in pancreatic ductal adenocarcinoma enhances immune response and treatment efficacy Open
Pancreatic ductal adenocarcinoma (PDAC) is characterized by an immunosuppressive tumor microenvironment (TME) and poor prognosis. While major histocompatibility complex class II (MHC-II) expression is traditionally associated with professi…
View article: Spatial organization of the tumor-immune microenvironment in ER-positive breast cancer: remodeling during treatment and associations with clinical response
Spatial organization of the tumor-immune microenvironment in ER-positive breast cancer: remodeling during treatment and associations with clinical response Open
Background The tumor microenvironment influences treatment response in ER-positive breast cancer, but what distinguishes responders from non-responders and how it changes during treatment is poorly understood. Methods ER-positive breast tu…
View article: Cell free RNA detection of pancreatic cancer in pre diagnostic high risk and symptomatic patients
Cell free RNA detection of pancreatic cancer in pre diagnostic high risk and symptomatic patients Open
Pancreatic ductal adenocarcinomas (PDAC) are among the most fatal cancers, in part due to frequent detection at advanced stages. Endoscopic ultrasound-guided fine-needle aspiration (EUS-FNA), the most sensitive diagnostic method of PDAC in…
View article: COEXIST: Coordinated single-cell integration of serial multiplexed tissue images
COEXIST: Coordinated single-cell integration of serial multiplexed tissue images Open
Multiplexed tissue imaging (MTI) and other spatial profiling technologies commonly utilize serial tissue sectioning to comprehensively profile samples by imaging each section with unique biomarker panels or assays. The dependence on serial…
View article: The role of long non‐coding RNAs in lung cancer metastasis: Molecular mechanisms, pathogenesis and clinical implications
The role of long non‐coding RNAs in lung cancer metastasis: Molecular mechanisms, pathogenesis and clinical implications Open
Lung cancer remains the leading cause of cancer‐related death in both women and men in the United States and globally. Even among early‐stage patients who undergo surgical resection, a significant portion of patients develop metastases. No…
View article: Automated machine learning profiling with MAP-HR for quantifying homologous recombination foci in patient samples
Automated machine learning profiling with MAP-HR for quantifying homologous recombination foci in patient samples Open
Accurate visualization and quantification of homologous recombination (HR)-associated foci in readily available patient samples are critical for identifying patients with HR deficiency (HRD) when they present for care to guide polyADP ribo…
View article: OmicsTweezer: A distribution-independent cell deconvolution model for multi-omics Data
OmicsTweezer: A distribution-independent cell deconvolution model for multi-omics Data Open
Cell deconvolution estimates cell type proportions from bulk omics data, enabling insights into tissue microenvironments and disease. However, practical applications are often hindered by batch effects between bulk data and referenced sing…
View article: Supplementary Figure 1 from Ribociclib in Sequential Combination with Doxorubicin in Anthracycline-Naïve Advanced Soft-Tissue Sarcomas: Results of a Dose-Finding Phase Ib Study
Supplementary Figure 1 from Ribociclib in Sequential Combination with Doxorubicin in Anthracycline-Naïve Advanced Soft-Tissue Sarcomas: Results of a Dose-Finding Phase Ib Study Open
Supplementary Figure 1. Impact of 7 days of ribociclib (400 mg PO daily) on absolute neutrophil count (ANC) and platelet count.
View article: Supplementary Figure 3 from Ribociclib in Sequential Combination with Doxorubicin in Anthracycline-Naïve Advanced Soft-Tissue Sarcomas: Results of a Dose-Finding Phase Ib Study
Supplementary Figure 3 from Ribociclib in Sequential Combination with Doxorubicin in Anthracycline-Naïve Advanced Soft-Tissue Sarcomas: Results of a Dose-Finding Phase Ib Study Open
Supplementary Figure 3. Ribociclib plasma concentration at C1D7 does not correlate with PFS.
View article: Supplementary Table 2 from Ribociclib in Sequential Combination with Doxorubicin in Anthracycline-Naïve Advanced Soft-Tissue Sarcomas: Results of a Dose-Finding Phase Ib Study
Supplementary Table 2 from Ribociclib in Sequential Combination with Doxorubicin in Anthracycline-Naïve Advanced Soft-Tissue Sarcomas: Results of a Dose-Finding Phase Ib Study Open
Supplementary Table 2. Sequencing results from archival tumor tissue completed as part of routine clinical care. Most underwent DNA sequencing only. Only Tier I & II mutations shown.
View article: Supplementary Material 1 from Ribociclib in Sequential Combination with Doxorubicin in Anthracycline-Naïve Advanced Soft-Tissue Sarcomas: Results of a Dose-Finding Phase Ib Study
Supplementary Material 1 from Ribociclib in Sequential Combination with Doxorubicin in Anthracycline-Naïve Advanced Soft-Tissue Sarcomas: Results of a Dose-Finding Phase Ib Study Open
Supplementary Material 1. Clinical trial protocol.
View article: Supplementary Table 3 from Ribociclib in Sequential Combination with Doxorubicin in Anthracycline-Naïve Advanced Soft-Tissue Sarcomas: Results of a Dose-Finding Phase Ib Study
Supplementary Table 3 from Ribociclib in Sequential Combination with Doxorubicin in Anthracycline-Naïve Advanced Soft-Tissue Sarcomas: Results of a Dose-Finding Phase Ib Study Open
Supplementary Table 3. Representativeness of Study Participants with metastatic soft tissue sarcoma (STS).
View article: Data from Ribociclib in Sequential Combination with Doxorubicin in Anthracycline-Naïve Advanced Soft-Tissue Sarcomas: Results of a Dose-Finding Phase Ib Study
Data from Ribociclib in Sequential Combination with Doxorubicin in Anthracycline-Naïve Advanced Soft-Tissue Sarcomas: Results of a Dose-Finding Phase Ib Study Open
Purpose:Doxorubicin is the first-line treatment for metastatic soft-tissue sarcomas. Ribociclib, a cyclin-dependent kinase 4/6 intargets the retinoblastoma pathway to induce cell-cycle arrest at the G1–S cell-cycle checkpoint. We hypothesi…
View article: Supplementary Table 1 from Ribociclib in Sequential Combination with Doxorubicin in Anthracycline-Naïve Advanced Soft-Tissue Sarcomas: Results of a Dose-Finding Phase Ib Study
Supplementary Table 1 from Ribociclib in Sequential Combination with Doxorubicin in Anthracycline-Naïve Advanced Soft-Tissue Sarcomas: Results of a Dose-Finding Phase Ib Study Open
Supplementary Table 1. Reasons for screen failure.
View article: Supplementary Figure 2 from Ribociclib in Sequential Combination with Doxorubicin in Anthracycline-Naïve Advanced Soft-Tissue Sarcomas: Results of a Dose-Finding Phase Ib Study
Supplementary Figure 2 from Ribociclib in Sequential Combination with Doxorubicin in Anthracycline-Naïve Advanced Soft-Tissue Sarcomas: Results of a Dose-Finding Phase Ib Study Open
Supplementary Figure 2. Phospho-pRb signal intensity does not correlate with PFS.
View article: Utilizing cohort-level and individual networks to predict best response in patients with metastatic triple negative breast cancer
Utilizing cohort-level and individual networks to predict best response in patients with metastatic triple negative breast cancer Open
Given the highly aggressive and heterogeneous nature of metastatic triple-negative breast cancer, molecular subtypes have been evaluated for their utility in patient stratification and therapeutic selection. Leveraging both our unique long…
View article: Language of Stains: Tokenization Enhances Multiplex Immunofluorescence and Histology Image Synthesis
Language of Stains: Tokenization Enhances Multiplex Immunofluorescence and Histology Image Synthesis Open
Multiplex tissue imaging (MTI) is a powerful tool in cancer research, allowing spatially resolved, single-cell phenotype analysis. However, MTI platforms face challenges such as high costs, tissue loss, lengthy acquisition times, and compl…
View article: Supplementary Figures S1-S7 from Ancestral Differences in Anticancer Treatment Efficacy and Their Underlying Genomic and Molecular Alterations
Supplementary Figures S1-S7 from Ancestral Differences in Anticancer Treatment Efficacy and Their Underlying Genomic and Molecular Alterations Open
Supplementary Fig. S1. The underrepresentation of Hispanic or Latino populations in clinical trials. (A) The summary of all clinical trials in Clinical Trials obtained on March 24, 2024. (B-C) The populations of Hispanic or Latino, non-His…
View article: Supplementary Tables S1-S7 from Ancestral Differences in Anticancer Treatment Efficacy and Their Underlying Genomic and Molecular Alterations
Supplementary Tables S1-S7 from Ancestral Differences in Anticancer Treatment Efficacy and Their Underlying Genomic and Molecular Alterations Open
Supplementary Table S1. The outcomes of all 46 clinical trials with racial comparisons. Supplementary Table S2. The list of clinically actionable genes. Supplementary Table S3. Summary of TCGA cancer types, patient samples and data types s…
View article: Data from Ancestral Differences in Anticancer Treatment Efficacy and Their Underlying Genomic and Molecular Alterations
Data from Ancestral Differences in Anticancer Treatment Efficacy and Their Underlying Genomic and Molecular Alterations Open
Systematic multiomic analysis has revealed ancestry-dependent molecular alterations, but their impact on the efficacy of anticancer treatment is yet largely unknown. In this study, we analyzed clinical trials from ClinicalTrials.gov and fo…
View article: Automated Machine Learning Profiling with MAP-HR for Quantifying Homologous Recombination Foci in Patient Samples
Automated Machine Learning Profiling with MAP-HR for Quantifying Homologous Recombination Foci in Patient Samples Open
Accurate visualization and quantification of homologous recombination (HR)-associated foci in readily available patient samples are critical for identifying patients with HR deficiency (HRD) when they present for care to guide polyADP ribo…
View article: RAC1-Amplified and RAC1-A159V Hotspot-Mutated Head and Neck Cancer Sensitive to the Rac Inhibitor EHop-016 In Vivo: A Proof-of-Concept Study
RAC1-Amplified and RAC1-A159V Hotspot-Mutated Head and Neck Cancer Sensitive to the Rac Inhibitor EHop-016 In Vivo: A Proof-of-Concept Study Open
Objective: RAC1 aberrations in head and neck squamous cell carcinoma (HNSCC) remain clinically inactionable today. Methods: Here, we investigated the clinical significance and potential druggability of RAC1 genomic aberrations in HNSCC. Re…
View article: Ongoing replication stress tolerance and clonal T cell responses distinguish liver and lung recurrence and outcomes in pancreatic cancer
Ongoing replication stress tolerance and clonal T cell responses distinguish liver and lung recurrence and outcomes in pancreatic cancer Open
Patients with metastatic pancreatic ductal adenocarcinoma survive longer if disease spreads to the lung but not the liver. Here we generated overlapping, multi-omic datasets to identify molecular and cellular features that distinguish pati…