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Sökning: WFRF:(Gjerstorff Morten F.)

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1.
  • Lokkegaard, Sanne, et al. (författare)
  • MCM3 upregulation confers endocrine resistance in breast cancer and is a predictive marker of diminished tamoxifen benefit
  • 2021
  • Ingår i: npj Breast Cancer. - : NATURE RESEARCH. - 2374-4677. ; 7:1
  • Tidskriftsartikel (refereegranskat)abstract
    • Resistance to endocrine therapy in estrogen receptor-positive (ER+) breast cancer is a major clinical problem with poorly understood mechanisms. There is an unmet need for prognostic and predictive biomarkers to allow appropriate therapeutic targeting. We evaluated the mechanism by which minichromosome maintenance protein 3 (MCM3) influences endocrine resistance and its predictive/prognostic potential in ER+ breast cancer. We discovered that ER+ breast cancer cells survive tamoxifen and letrozole treatments through upregulation of minichromosome maintenance proteins (MCMs), including MCM3, which are key molecules in the cell cycle and DNA replication. Lowering MCM3 expression in endocrine-resistant cells restored drug sensitivity and altered phosphorylation of cell cycle regulators, including p53(Ser(315,33)), CHK1(Ser(317)), and cdc25b(Ser(323)), suggesting that the interaction of MCM3 with cell cycle proteins is an important mechanism of overcoming replicative stress and anti-proliferative effects of endocrine treatments. Interestingly, the MCM3 levels did not affect the efficacy of growth inhibitory by CDK4/6 inhibitors. Evaluation of MCM3 levels in primary tumors from four independent cohorts of breast cancer patients receiving adjuvant tamoxifen mono-therapy or no adjuvant treatment, including the Stockholm tamoxifen (STO-3) trial, showed MCM3 to be an independent prognostic marker adding information beyond Ki67. In addition, MCM3 was shown to be a predictive marker of response to endocrine treatment. Our study reveals a coordinated signaling network centered around MCM3 that limits response to endocrine therapy in ER+ breast cancer and identifies MCM3 as a clinically useful prognostic and predictive biomarker that allows personalized treatment of ER+ breast cancer patients.
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2.
  • Traynor, Sofie, et al. (författare)
  • Single-cell sequencing unveils extensive intratumoral heterogeneity of cancer/testis antigen expression in melanoma and lung cancer
  • 2024
  • Ingår i: JOURNAL FOR IMMUNOTHERAPY OF CANCER. - 2051-1426. ; 12:6
  • Tidskriftsartikel (refereegranskat)abstract
    • Cancer/testis antigens (CTAs) are widely expressed in melanoma and lung cancer, emerging as promising targets for vaccination strategies and T-cell-based therapies in these malignancies. Despite recognizing the essential impact of intratumoral heterogeneity on clinical responses to immunotherapy, our understanding of intratumoral heterogeneity in CTA expression has remained limited. We employed single-cell mRNA sequencing to delineate the CTA expression profiles of cancer cells in clinically derived melanoma and lung cancer samples. Our findings reveal a high degree of intratumoral transcriptional heterogeneity in CTA expression. In melanoma, every cell expressed at least one CTA. However, most individual CTAs, including the widely used therapeutic targets NY-ESO-1 and MAGE, were confined to subpopulations of cells and were uncoordinated in their expression, resulting in mosaics of cancer cells with diverse CTA profiles. Coordinated expression was observed, however, mainly among highly structurally and evolutionarily related CTA genes. Importantly, a minor subset of CTAs, including PRAME and several members of the GAGE and MAGE-A families, were homogenously expressed in melanomas, highlighting their potential as therapeutic targets. Extensive heterogeneity in CTA expression was also observed in lung cancer. However, the frequency of CTA-positive cancer cells was notably lower and homogenously expressed CTAs were only identified in one of five tumors in this cancer type. Our findings underscore the need for careful CTA target selection in immunotherapy development and clinical testing and offer a rational framework for identifying the most promising candidates.
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