John Dorrance Minna

Cancer Cachexia in STK11/LKB1-mutated NSCLC is Dependent on Tumor-secreted GDF15

This study shows that tumor-secreted GDF15 drives cachexia in STK11/LKB1-mutated NSCLC, and blocking GDF15 reduces cachexia symptoms in mice.

Coordinated translational control of multiple immune checkpoints by the integrated stress response pathway in lung cancer

The paper shows that the integrated stress response (ISR) coordinates the translation of PD-L1 and CD155, two immune checkpoint proteins, in lung cancer, and suggests combining ISR inhibition with PD-1 blockade as a therapeutic strategy.

Transmembrane Serine Protease TMPRSS11B promotes an acidified tumor microenvironment and immune suppression in lung squamous cell carcinoma

This study shows that TMPRSS11B promotes an acidified and immunosuppressive tumor microenvironment in lung squamous cell carcinoma, suggesting it as a therapeutic target.

A novel and potent MICA/B antibody is therapeutically effective in KRAS LKB1 mutant lung cancer models

This paper develops a novel MICA/B-targeting antibody that enhances NK cell activity and shows therapeutic efficacy in KRAS LKB1 mutant lung cancer models.

A comparative study of neuroendocrine heterogeneity in SCLC and NBL

This study compares neuroendocrine (NE) features in SCLC and NBL, finding similar molecular profiles and shared therapeutic responses but no significant survival association with NE scores.

Establishment of reference standards for multifaceted mosaic variant analysis

This paper establishes reference standards for mosaic variant analysis using a large set of simulated variants to improve detection accuracy and algorithm development.

Single-cell analysis of human lung epithelia reveals concomitant expression of the SARS-CoV-2 receptor ACE2 with multiple virus receptors and scavengers in alveolar type II cells

The paper analyzes single-cell RNA-seq data to identify ACE2 expression patterns in human lung epithelial cells, finding high ACE2 expression in alveolar type II cells and co-expression with pathogen receptors.

Computational staining of pathology images to study tumor microenvironment in lung cancer

The paper develops a deep learning tool to analyze pathology images and identify TME features predictive of survival in lung cancer.

Elucidating synergistic dependencies in lung adenocarcinoma by proteome-wide signaling-network analysis

The paper infers protein kinase pathways in lung adenocarcinoma using phosphotyrosine data and validates them with SILAC assays, revealing novel substrates and synergistic drug responses.