Publications by authors named "Jason D Wells"

Purpose: Higher levels of estrogen in obese patients may lead to incomplete inhibition by aromatase inhibitors (AIs). The aim of this study was to determine the impact of body mass index (BMI) on efficacy of AIs in patients with metastatic hormone receptor (HR)-positive breast cancer (BC).

Methods: We performed a retrospective chart review of all female patients with metastatic HR-positive BC on an AI in first- or second-line settings and seen at our academic institution between 2001 and 2020.

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Motivation: Despite increasing understanding of the molecular characteristics of cancer, chemotherapy success rates remain low for many cancer types. Studies have attempted to identify patient and tumor characteristics that predict sensitivity or resistance to different types of conventional chemotherapies, yet a concise model that predicts chemosensitivity based on gene expression profiles across cancer types remains to be formulated. We attempted to generate pan-cancer models predictive of chemosensitivity and chemoresistance.

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Purpose: Circulating tumor DNA in plasma may present a minimally invasive opportunity to identify tumor-derived mutations to inform selection of targeted therapies for individual patients, particularly in cases of oligometastatic disease where biopsy of multiple tumors is impractical. To assess the utility of plasma DNA as a "liquid biopsy" for precision oncology, we tested whether sequencing of plasma DNA is a reliable surrogate for sequencing of tumor DNA to identify targetable genetic alterations.

Methods: Blood and biopsies of 1-3 tumors were obtained from 4 evaluable patients with advanced breast cancer.

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Purpose: Despite adjuvant endocrine therapy for patients with estrogen receptor alpha (ER)-positive breast cancer, dormant residual disease can persist for years and eventually cause tumor recurrence. We sought to deduce mechanisms underlying the persistence of dormant cancer cells to identify therapeutic strategies.

Experimental Design: Mimicking the aromatase inhibitor-induced depletion of estrogen levels used to treat patients, we developed preclinical models of dormancy in ER breast cancer induced by estrogen withdrawal in mice.

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Background: Precision oncology seeks to integrate multiple layers of data from a patient's cancer to effectively tailor therapy. Conventional chemotherapies are sometimes effective but accompanied by adverse events, warranting the identification of a biomarker of chemosensitivity.

Objective: Identify an mRNA biomarker that predicts chemosensitivity across solid tumor subtypes.

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Article Synopsis
  • The study hypothesized that analyzing different cancer types together could reveal new subgroups with specific treatment weaknesses, focusing on breast and ovarian cancers due to their molecular similarities.
  • Researchers used data analysis to identify cancer subgroups and tested their sensitivity to Hsp90 inhibitors (Hsp90i), validating results with various models.
  • Results showed that a specific subgroup, mainly composed of triple-negative breast and certain ovarian cancers, was more susceptible to Hsp90i treatment, suggesting gene expression profiles could help identify targeted therapies for these cancers.
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Estrogens have been shown to elicit anticancer effects against estrogen receptor α (ER)-positive breast cancer. We sought to determine the mechanism underlying the therapeutic response. Response to 17β-estradiol was assessed in ER+ breast cancer models with resistance to estrogen deprivation: WHIM16 patient-derived xenografts, C7-2-HI and C4-HI murine mammary adenocarcinomas, and long-term estrogen-deprived MCF-7 cells.

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Article Synopsis
  • Neurofibromatosis type 1 results from a mutation in the neurofibromin 1 gene, leading to excessive Ras signaling, increased cell growth, and the formation of tumors, including plexiform neurofibromas and malignant peripheral nerve sheath tumors.
  • This mutation also appears in various cancers like glioblastoma, lung adenocarcinoma, and ovarian cancer, indicating a need for targeted therapies that can specifically treat NF1-deficient tumors.
  • The study introduces Y100, a compound identified through a synthetic lethality screen, which disrupts metabolic and proteostasis balance and increases mitochondrial stress in NF1-deficient cancer cells, suggesting it could be a promising treatment strategy for these tumors.
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() amplification is a driving oncogenic event in breast cancer. Clinical trials have consistently shown the benefit of HER2 inhibitors (HER2i) in treating patients with both local and advanced HER2+ breast cancer. Despite this benefit, their efficacy as single agents is limited, unlike the robust responses to other receptor tyrosine kinase inhibitors like EGFR inhibitors in -mutant lung cancer.

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