Publications by authors named "K K Majumdar"

Background: To correlate between immunohistochemical expression of tumor-infiltrating lymphocytes (TILs), tumor-associated macrophages (TAMs), and natural killer (NK) cells with the AJCC 8th edition TNM staging system and other disease-modifying clinico-pathological variables.

Methods: The representative histology sections of tumor invasive margin (IM) and tumor core (TC) were selected according to the International Immuno-Oncology Biomarker Working Group and were subjected to immunohistochemistry with antibodies for TILs (CD3, CD8, FOXP3), NK Cells (CD57), TAMs (CD68, CD163) and pan-leukocyte marker (CD45). Histo-immuno-density-intensity (HIDI) scoring was calculated as a product of the proportion and intensity of staining.

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AS3MT, GSTO2, and GSTP1 genes play important roles in the arsenic biotransformation pathway, while CYP2E1 gene has a prominent role in the metabolic activation of xenobiotics. Hence, polymorphisms of these genes might have an effect on arsenic biotransformation and could impact susceptibility to arsenical skin lesions in individuals of chronic arsenic toxicity. The present case-control study, comprising 148 subjects, attempted to evaluate genetic association between nine polymorphisms of AS3MT, GSTO2, GSTP1 and CYP2E1 genes and arsenical skin lesions in a West Bengal (WB) population.

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Introduction: Surgical management of level V in clinically node positive (cN+) oral squamous cell carcinomas (OSCCs) is controversial. The objectives of the study were to identify predictors of level V metastases in cN+ OSCC.

Methods: This retrospective study is based on institutional data of operated cN+ OSCC between April 2018 and December 2022.

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Endometriosis is a benign, estrogen-dependent, persistent chronic inflammatory heterogeneous condition that features fibrotic adhesions caused by periodic bleeding. The characteristic ectopic lesions are marked by a widely spread dense fibrotic interstitium comprising of fibroblasts, myofibroblasts, collagen fibers, extracellular proteins, inflammatory cells, and active angiogenesis. Fibrosis is now recognized as a critical component of endometriosis because of which current treatments, such as hormonal therapy and surgical excision of lesions are largely ineffective with severe side effects, high recurrence rates, and significant morbidity.

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Identifying differentially methylated cytosine-guanine dinucleotide (CpG) sites between benign and tumour samples can assist in understanding disease. However, differential analysis of bounded DNA methylation data often requires data transformation, reducing biological interpretability. To address this, a family of beta mixture models (BMMs) is proposed that (i) objectively infers methylation state thresholds and (ii) identifies differentially methylated CpG sites (DMCs) given untransformed, beta-valued methylation data.

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