Publications by authors named "Muhammad Joan Ailia"

This systematic review aimed to assess the prognostic significance of programmed cell death-ligand 1 (PDL-1) and programmed cell death protein 1 (PD-1) in hepatocellular carcinoma (HCC). Medline, EMBASE, and Cochrane Library database searches were conducted, revealing nine relevant cohort studies (seven PDL-1 and three PD-1). Our meta-analysis showed that PD-1/PDL-1 was a marker of poor survival, regardless of the assessment method (PD-1 overall survival (OS): hazard ratio (HR) 2.

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Hepatocellular carcinoma (HCC) is the third leading cause of cancer-related mortality worldwide. Current therapies often provide marginal survival benefits at the expense of undesirable side effects. Oncolytic viruses represent a novel strategy for the treatment of HCC due to their inherent ability to cause direct tumor cell lysis while sparing normal tissue and their capacity to stimulate potent immune responses directed against uninfected tumor cells and distant metastases.

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Introduction: Currently, tumor budding (TB) is considered to predict the prognosis of patients. The prognostic significance of TB has also been explored in patients with lung cancer, but has not been fully clarified. In the present meta-analysis, we evaluated the prognostic significance, clinicopathological value, and relationship with epithelial-mesenchymal transition (EMT) of TB in lung cancer.

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The integration of digital pathology (DP) with artificial intelligence (AI) enables faster, more accurate, and thorough diagnoses, leading to more precise personalized treatment. As technology is advancing rapidly, it is critical to understand the current state of AI applications in DP. Therefore, a patent analysis of AI in DP is required to assess the application and publication trends, major assignees, and leaders in the field.

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Article Synopsis
  • * A meta-analysis of data from 2009 patients highlighted that TB is a consistent indicator of poor survival outcomes, with significant hazard ratios for both overall and disease-free survival.
  • * In endometrial cancers, TB was linked to several negative biological features, including epithelial-mesenchymal transition and lower hormone receptor expression, suggesting it serves as a poor prognostic marker for gynecologic cancers overall.
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Background: Murine is the most abundantly used as laboratory animal models. There has been a tremendous amount of research including; their evolution, growth, physiology, disease modeling as well as genomic mapping. Rats and mice are the most widely used among them.

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