Syed Aleem Haider

The paper identifies BRCA1/2 reversion mutations associated with drug resistance in cancer patients and highlights key domains critical for resistance.

The paper identifies a breast cancer risk locus by analyzing functional variants and target genes in mammary fibroblasts, showing their non-autonomous impact on breast cancer risk.

The paper identifies CCDC88C as a risk gene for ER-positive breast cancer by analyzing functional variants from GWAS signals using a massively parallel reporter assay.

This paper shows that FAK inhibition remodels the metastatic ECM, enhancing CD8+ T cell infiltration and immunosurveillance in breast cancer.

LOX inhibition disrupts a collagen-integrin-MYC axis in ILC, halting tumor growth and metastasis with minimal toxicity, offering a new therapeutic strategy.

This study shows that overexpression of SAS-6 promotes ciliogenesis and cell invasion through YAP/TAZ pathway activation, linked to poor cancer prognosis.

The paper identifies a switch from DICER-dependent to Argonaute-mediated miRNA biogenesis in cancer, showing that non-canonical processing of oncogenic miRNAs promotes cancer progression.

iSubGen generates disease subtypes by integrating multiple data types, handling missing data and identifying clinically distinct patient groups.

BPG is an R package that generates publication-quality, customizable plots and offers an interactive web tool for figure customization and integration with computational pipelines.

The paper introduces SIMMS, a method that identifies biomarkers by analyzing molecular data and biological networks, showing improved performance in predicting disease subtypes and outcomes.

The paper compares gene-based and subnetwork-based biomarkers in breast cancer, finding subnetwork biomarkers more robust and performant across different patient cohorts.