Publications by authors named "Khramtsova G"

Background: Colorectal carcinoma (CRC) is the most common gastrointestinal malignancy in Nigeria with a dismal 5-year survival rate. Interactions between the CD8+ T-lymphocytes and the immune checkpoints such as cytotoxic T-lymphocyte antigen-4 (CTLA-4) and programmed death-ligand 1 (PD-L1) expressions are important. Novel antibodies have been developed against these immune checkpoints and have been found to improve clinical outcome in many solid organ malignancies.

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Artificial intelligence models have been increasingly used in the analysis of tumor histology to perform tasks ranging from routine classification to identification of molecular features. These approaches distill cancer histologic images into high-level features, which are used in predictions, but understanding the biologic meaning of such features remains challenging. We present and validate a custom generative adversarial network-HistoXGAN-capable of reconstructing representative histology using feature vectors produced by common feature extractors.

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Artificial intelligence models have been increasingly used in the analysis of tumor histology to perform tasks ranging from routine classification to identification of novel molecular features. These approaches distill cancer histologic images into high-level features which are used in predictions, but understanding the biologic meaning of such features remains challenging. We present and validate a custom generative adversarial network - HistoXGAN - capable of reconstructing representative histology using feature vectors produced by common feature extractors.

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Article Synopsis
  • Black women have the highest breast cancer mortality rates, prompting a study on the VEGF-hypoxia gene expression signature across diverse populations, specifically focusing on breast tumors from Nigeria and Chicago.
  • A new gene expression panel was used to find that the VEGF-hypoxia signature is most prevalent in the basal-like subtype of breast cancer, particularly in Black women, and is associated with necrotic tumors showing links to proliferation.
  • The study highlights the need for targeted interventions addressing the VEGF-hypoxia signature and the immune microenvironment to improve survival rates in aggressive breast cancers affecting Black women.
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Background: Ovarian cancer is the leading cause of death from all gynaecological malignancies. Only few biomarkers of epithelial ovarian cancer (EOC) prognosis have been studied so far among Nigerian patients.

Objective: To determine the pattern of oestrogen receptor (ER), progesterone receptor (PR) and human epidermal growth factor receptor 2 (HER-2) expression in patients with EOC seen in Nigeria.

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Poly (ADP-ribose) polymerase inhibitors (PARPi) are used for patients with BRCA1/2 mutations, but patients with other mutations may benefit from PARPi treatment. Another mutation that is present in more cancers than BRCA1/2 is mutation to the TP53 gene. In 2D breast cancer cell lines, mutant p53 (mtp53) proteins tightly associate with replicating DNA and Poly (ADP-ribose) polymerase (PARP) protein.

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Poly (ADP-ribose) polymerase inhibitors (PARPi) are used for patients with mutations, but patients with other mutations may benefit from PARPi treatment. Another mutation that is present in more cancers than is mutation to the gene. In 2D breast cancer cell lines, mutant p53 (mtp53) proteins tightly associate with replicating DNA and Poly (ADP-ribose) polymerase (PARP) protein.

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Background: Studies on functional roles of BACH1 reveal that BACH1 promotes cancer metastasis and regulates metabolic networks for metastatic processes. However, little is known about BACH1 protein expression in breast tumors and its relevance to clinical variables as a biomarker for patients with breast tumors.

Methods: Using a tissue microarray (TMA) of breast tumor tissues isolated from a patient cohort (N = 130) expression of BACH1 and its target gene MCT1 (encoded by SLC16A1) were monitored by immunohistochemistry (IHC) assays and scored for further analyses.

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Otoferlin mRNA expression is increased in JDM patients' PBMCs and muscle compared to healthy controls. This study aims to evaluate the role of otoferlin in JDM disease pathophysiology and its association with disease activity in untreated children with JDM. A total of 26 untreated JDM (88.

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Article Synopsis
  • Artificial intelligence, particularly deep neural networks (DNN), can classify tumors from histology samples quickly and accurately, often matching or surpassing human pathologists' abilities.
  • There is a challenge in understanding how these neural networks make their predictions, but new explainability tools are being developed, including the use of synthetic histology created by conditional generative adversarial networks (cGAN).
  • The synthetic histology not only helps visualize key histologic features linked to tumor molecular types but also enhances the training of pathologists by providing intuitive visual aids for better understanding tumor biology.
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Background: Endocrine-resistant HR+/HER2- breast cancer (BC) and triple-negative BC (TNBC) are of interest for molecularly informed treatment due to their aggressive natures and limited treatment profiles. Patients of African Ancestry (AA) experience higher rates of TNBC and mortality than European Ancestry (EA) patients, despite lower overall BC incidence. Here, we compare the molecular landscapes of AA and EA patients with HR+/HER2- BC and TNBC in a real-world cohort to promote equity in precision oncology by illuminating the heterogeneity of potentially druggable genomic and transcriptomic pathways.

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Gene expression-based recurrence assays are strongly recommended to guide the use of chemotherapy in hormone receptor-positive, HER2-negative breast cancer, but such testing is expensive, can contribute to delays in care, and may not be available in low-resource settings. Here, we describe the training and independent validation of a deep learning model that predicts recurrence assay result and risk of recurrence using both digital histology and clinical risk factors. We demonstrate that this approach outperforms an established clinical nomogram (area under the receiver operating characteristic curve of 0.

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Background: Colorectal cancer (CRC) is the fourth most common cancer in Nigeria, and it affects mostly persons in their middle age. In a bid to gain some insight into the molecular characteristics of CRC in our environment, we set out to investigate the expression of COX-2 and HER-2 among Nigerian subjects.

Objectives: To evaluate the expression of COX-2 and HER-2 and determine their correlation with clinicopathologic parameters in surgically resected histologically diagnosed cases of colorectal cancer.

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Women of African ancestry have the highest mortality from triple-negative breast cancer (TNBC) of all racial groups. To understand the genomic basis of breast cancer in the populations, we previously conducted genome-wide association studies and identified single nucleotide polymorphisms (SNPs) associated with breast cancer in Black women. In this study, we investigated the functional significance of the top associated SNP rs13074711.

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Article Synopsis
  • The study investigates the breast cancer mortality gap between White and Black patients, emphasizing the impact of tumor biology, genomic factors, and healthcare disparities.
  • Researchers analyzed a cohort of 2795 breast cancer patients to assess five survival outcomes, using controlled models to compare Black and White patients.
  • Findings indicate that Black patients generally have worse survival outcomes in all categories studied, with the most significant disparities observed in the HR-/HER2+ and HR+/HER2- breast cancer subtypes.
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p50, the mature product of NFKB1, is constitutively produced from its precursor, p105. Here, we identify BARD1 as a p50-interacting factor. p50 directly associates with the BARD1 BRCT domains via a C-terminal phospho-serine motif.

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Over 80% of triple-negative breast cancers (TNBC) express mutant p53 (mtp53) and some contain oncogenic gain-of-function (GOF) p53. We previously reported that GOF mtp53 R273H upregulates the chromatin association of mini chromosome maintenance (MCM) proteins MCM2-7 and PARP and named this the mtp53-PARP-MCM axis. In this study, we dissected the function and association between mtp53 and PARP using a number of different cell lines, patient-derived xenografts (PDX), tissue microarrays (TMA), and The Cancer Genome Atlas (TCGA) database.

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Background: Imaging techniques can provide information about the tumor non-invasively and have been shown to provide information about the underlying genetic makeup. Correlating image-based phenotypes (radiomics) with genomic analyses is an emerging area of research commonly referred to as "radiogenomics" or "imaging-genomics". The purpose of this study was to assess the potential for using an automated, quantitative radiomics platform on magnetic resonance (MR) breast imaging for inferring underlying activity of clinically relevant gene pathways derived from RNA sequencing of invasive breast cancers prior to therapy.

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Somatic mutation signatures may represent footprints of genetic and environmental exposures that cause different cancer. Few studies have comprehensively examined their association with germline variants, and none in an indigenous African population. SomaticSignatures was employed to extract mutation signatures based on whole-genome or whole-exome sequencing data from female patients with breast cancer (TCGA, training set, n = 1,011; Nigerian samples, validation set, n = 170), and to estimate contributions of signatures in each sample.

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Obesity is associated with increased incidence and severity of triple-negative breast cancer (TNBC); however, mechanisms underlying this relationship are incompletely understood. Here, we show that obesity reprograms mammary adipose tissue macrophages to a pro-inflammatory metabolically activated phenotype (MMe) that alters the niche to support tumor formation. Unlike pro-inflammatory M1 macrophages that antagonize tumorigenesis, MMe macrophages are pro-tumorigenic and represent the dominant macrophage phenotype in mammary adipose tissue of obese humans and mice.

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Objective: To assess the applicability of imported tissue-marking dyes and the samples of experimental dyes and decorative acrylic paints to mark the resection margins of a surgical specimen.

Material And Methods: Three sets of tissue-marking dyes: 2 imported sets and 1 experimental set, each containing red, orange, yellow, green, blue, purple, and black dyes, and a set of decorative acrylic paints containing black, blue, light blue, green, yellow, ocher, orange, magenta, and purple dyes. The experimental dyes and imported ones were used to mark tonsillar fragments obtained at tonsillectomy.

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Article Synopsis
  • Racial and ethnic disparities in breast cancer mortality are increasing, yet genomic studies often overlook diverse populations, highlighting a gap in research.
  • The study analyzed 194 breast cancer patients from Nigeria alongside 1,037 patients from The Cancer Genome Atlas (TCGA), revealing that Nigerian tumors have distinct genomic features indicating more aggressive cancer biology.
  • Key findings include higher rates of specific mutations in Nigerian patients and the identification of novel genes linked to breast cancer, potentially paving the way for tailored treatments for underrepresented groups.
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Purpose: To establish a cohort of high-risk women undergoing intensive surveillance for breast cancer. We performed dynamic contrast-enhanced MRI every 6 months in conjunction with annual mammography (MG). Eligible participants had a cumulative lifetime breast cancer risk ≥20% and/or tested positive for a pathogenic mutation in a known breast cancer susceptibility gene.

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Background: Household air pollution (HAP) is associated with adverse pregnancy outcomes.

Objectives: Investigate impact of in-utero HAP exposure on placental development and chronic hypoxia.

Methods: Markers of chronic placental hypoxia [Hofbauer cells (HBC), syncytial knots (SK), chorionic vascular density (cVD) and hypoxia-inducible factor (HIF)] were stained by hematoxylin-eosin and/or immunohistochemically in placenta samples collected from firewood-/kerosene-users (A,n=16), and ethanol-users (B,n=20) that participated in a randomized controlled intervention trial in Ibadan, Nigeria.

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