Breast cancer commonly affects women of older age; however, in developing countries, up to 20% of breast cancer cases present in young women (younger than 40 years as defined by oncology literature). Breast cancer in young women is often defined to be aggressive in nature, usually of high histological grade at the time of diagnosis and negative for endocrine receptors with poor overall survival rate. Several researchers have attributed this aggressive nature to a hidden unique biology. However, findings in this aspect remain controversial. Thus, in this article, we aimed to review published work addressing somatic mutations, chromosome copy number variants, single nucleotide polymorphisms, differential gene expression, microRNAs and gene methylation profile of early-onset breast cancer, as well as its altered pathways resulting from those aberrations. Distinct biology behind early-onset of breast cancer was clear among estrogen receptor-positive and sporadic cases. However, further research is needed to determine and validate specific novel markers, which may help in customizing therapy for this group of patients.

Purpose: Laparoscopic appendicectomy (LA) has several advantages over conventional open appendicectomy (OA). However, about 5% to 10% of LA patients still need to be converted to open surgery. Identifying risk factors that contribute to conversion to OA allows for early identification of patients who may benefit from primary OA. This study aimed to determine the conversion rate of LA to OA and to identify its associated risk factors among patients with acute or perforated appendicitis.Methods: A retrospective review of medical records was performed among patients with acute or perforated appendicitis who underwent LA between December 2015 and January 2017. With the use of multivariable logistic regression analyses, the predictors of conversion from laparoscopic to OA were investigated.Results: Out of 120 patients, 33 cases were converted to OA which gives a conversion rate of 27.5%. Among 33 patients who were converted to OA, 27 patients (81.8%) had perforated appendix, while in the LA group, perforated appendix cases consisted of 34.5% (P<0.001). Histopathology of the appendix was the predictor of conversion from LA to OA (adjusted odds ratio, 8.82; 95% confidence interval, 3.13–24.91; P<0.001).Conclusion: The result from our study shows that the overall conversion rate for the study period was high. Patients with perforated appendicitis had a higher risk of conversion to OA. Therefore, preoperative diagnosis of perforated appendicitis may be paramount in predicting conversion to OA.

Neonatal Nav1.5 (nNav1.5) is the alternative splice variant of Nav1.5 and it has been widely associated with the progression of breast cancer. The immunological context of nNav1.5 with respect to breast cancer metastases remains unexplored. The presence of antibodies against nNav1.5 may highlight the immunogenicity of nNav1.5. Hence, the aim of the present study was to detect the presence of antineonatal Nav1.5 antibodies (antinNav1.5‑Ab) in the serum of patients with breast cancer and to elucidate the effects of breast cancer therapy on its expression. A total of 32 healthy female volunteers and 64 patients with breast cancer were randomly recruited into the present study as the control and breast cancer group, respectively. Patients with breast cancer were divided equally based on their pre‑ and ongoing‑treatment status. Serum samples were tested with in‑house indirect enzyme‑linked immunosorbent assay (ELISA) to detect antinNav1.5‑Ab, CD25 (T regulatory cell marker) using an ELISA kit and Luminex assay to detect the expression of metastasis‑associated cytokines, such as vascular endothelial growth factor (VEGF), interleukin (IL)‑6, IL‑10, IL‑8, chemokine (C‑C motif) ligand 2 and tumor necrosis factor‑alpha (TNF‑α) The mean difference in the expression of antinNav1.5‑Ab among the three groups (control, pretreatment and ongoing‑treatment) was significant (P=0.0005) and the pretreatment breast cancer group exhibited the highest expression. The concentration of CD25 was highest in the pretreatment breast cancer group compared with the control and ongoing‑treatment groups. There was a significant positive correlation between antinNav1.5‑Ab and IL‑6 in the pretreatment group (r=0.7260; P=0.0210) and a significant negative correlation between antinNav1.5‑Ab and VEGF in the ongoing‑treatment group (r=‑0.842; P‑value=0.0040). The high expression of antinNav1.5‑Ab in the pretreatment group was in accordance with the uninterrupted presence of metastasis and highlighted the immunogenicity of nNav1.5 whereas the low expression of antinNav1.5‑Ab in the ongoing‑treatment group reflected the efficacy of breast cancer therapy in eliminating metastases. The augmented manifestation of T regulatory cells in the pretreatment group highlighted the functional role of nNav1.5 in promoting metastasis. The parallel expression of antinNav1.5‑Ab with the imbalanced expression of cytokines promoting metastasis (IL‑8, IL‑6 and TNF‑α) and cytokines that prevent metastasis (IL‑10) indicated the role of nNav1.5 in breast cancer growth. The expression of antinNav1.5‑Ab in accordance to the metastatic microenvironment indicates the immunogenicity of the protein and highlights the influence of breast cancer therapy on its expression level.

Abnormal miRNA expression has been associated with breast cancer. Knowing miRNA and its target genes gives a better understanding of the biological mechanism behind the development of breast cancer. Here, we evaluated the potential prognostic and predictive values of miRNAs in breast cancer development by analyzing Malay women with breast cancer expression profiles. Seven differentially expressed miRNAs (DEMs) were subjected to miRNA-target interaction network analysis (MTIN). A comprehensive MTIN was developed by integrating the information on miRNA and target gene interactions from five independent databases, including DIANA-TarBase, miRTarBase, miRNet, miRDB, and DIANA-microT. To understand the role of miRNAs in the progress of breast cancer, functional enrichment analysis of the miRNA target genes was conducted, followed by survival analysis to assess the prognostic values of the miRNAs and their target genes. In total, 1416 interactions were discovered among seven DEMs and 1274 target genes with a confidence score (CS) > 0.8. The overall survival analysis of the three most DEMs revealed a significant association of miR-27b-3p with poor prognosis in the TCGA breast cancer patient cohort. Further functional analysis of 606 miR-27b-3p target genes revealed their involvement in cancer-related processes and pathways, including the progesterone receptor signaling pathway, PI3K-Akt pathway, and EGFR transactivation. Notably, six high-confidence target genes (BTG2, DNAJC13, GRB2, GSK3B, KRAS, and UBR5) were discovered to be associated with worse overall survival in breast cancer patients, underscoring their essential roles in breast cancer development. Thus, we suggest that miR-27b-3p has significant potential as a biomarker for detecting breast cancer and can provide valuable understanding regarding the molecular mechanisms of the disease.

Breast cancer is a heterogeneous disease that claims 670,000 lives by 2022. Omic technologies, particularly next generation sequencing (NGS) offers promising avenues for precision medicine. American Society of Clinical Oncology (ASCO) outlines genomic testing's utility, emphasizing prognostic and diagnostic potential. This review succinctly explores NGS's evolution and clinical applications of NGS in breast cancer, thereby guiding future research to enhance patient care. Comprehensive literature searches were conducted using databases such as PubMed, Google Scholar, and ResearchGate, focusing on keywords including breast cancer, HER-2 low breast cancer, circulating tumour DNA, single-cell RNA sequencing, and next-generation sequencing. Peer-reviewed, high-quality articles published in English were selected for inclusion. Previous studies have explored the evolution of NGS technology and its clinical applications in breast cancer, including genomic and transcriptomic characterization, treatment guidance, and resistance prediction. Molecular profiling of challenging entities such as early-onset breast cancer and HER-2 low tumours was summarized, with key findings highlighted. This review also discusses emerging technologies, including circulating DNA and single-cell sequencing, as promising avenues for discovery. NGS has revealed the genomic and transcriptomic diversity of breast cancer, identifying actionable alterations associated with chemotherapy response and resistance to therapies such as trastuzumab, TKIs, and CDK4/6 inhibitors. Circulating tumour DNA (ctDNA) shows potential for diagnosis, prediction, prognosis, and monitoring, despite tumour heterogeneity. Single-cell analysis enables exploration of individual cell transcriptomes, though high costs and low throughput remain barriers to widespread adoption. HER2-low tumours continue to pose significant research challenges.