Filemon S. Dela Cruz

NAPRT expression and epigenetic regulation in pediatric rhabdomyosarcoma as a potential biomarker for NAMPT inhibition

This study evaluates NAPRT expression and epigenetic regulation in pediatric rhabdomyosarcoma as a potential biomarker for NAMPT inhibitor therapy.

SMARCAL1 is a candidate therapeutic target for ALT-positive tumors

The paper identifies SMARCAL1 as a key regulator of ALT metabolism and a potential therapeutic target for ALT-positive tumors.

PAX3-FOXO1 drives targetable cell state-dependent metabolic vulnerabilities in rhabdomyosarcoma

This study shows that PAX3-FOXO1 drives metabolic vulnerabilities in rhabdomyosarcoma, making these cells sensitive to methotrexate.

Epigenetic targeting of PGBD5-dependent DNA damage in SMARCB1-deficient sarcomas

The paper identifies ATR as a target for combination EZH2 epigenetic therapy in SMARCB1-deficient sarcomas, showing that EZH2 inhibition promotes DNA damage via PGBD5, and that ATR inhibition enhances therapeutic responses.

A Bayesian active learning platform for scalable combination drug screens

BATCHIE efficiently identifies effective drug combinations through adaptive experimentation, reducing the number of required experiments while accurately predicting synergies.

Identification and Pharmacological Targeting of Treatment-Resistant, Stem-like Breast Cancer Cells for Combination Therapy

The paper identifies treatment-resistant Cancer Stem-Like Cells in breast cancer using single-cell RNA sequencing and validates a drug combination to target them effectively.

Clonal evolution during metastatic spread in high-risk neuroblastoma

This study traces clonal evolution in high-risk neuroblastoma using genomic data from 470 samples, showing metastatic clones can remain dormant and later cause relapses.

Pre-clinical validation of an RNA-based precision oncology platform for patient-therapy alignment in a diverse set of human malignancies resistant to standard treatments

The paper validates an RNA-based platform for predicting drug sensitivity in treatment-resistant cancers using patient-derived xenograft models and multi-protein therapies.

Dynamic Network Curvature Analysis of RNA-Seq Data in Sarcoma

This study uses geometric network analysis of RNA-Seq data to cluster pediatric sarcoma tumors and identify therapeutic targets through unsupervised methods.

Single-cell based elucidation of molecularly-distinct glioblastoma states and drug sensitivity

The paper identifies four molecularly distinct glioblastoma subtypes using single-cell protein-activity analysis and shows drug sensitivity is state-dependent.