An atlas of gene programs in non-small cell lung cancer delineates novel patterns of lineage vacillation, plasticity, and aggressiveness
Campbell, J. D.; Hong, R.; Klockner, P.; Mazzilli, S.; Spira, A. E.; Beane, J.; Yajima, M.
Show abstract
Combinations of molecular programs can be altered in cancer cells and contribute to tumor initiation and aggressiveness. We developed a novel framework called a Gene Program Association Study (GPAS) to create an atlas of gene co-expression modules in cancer cells from 127 primary non-small-cell-lung cancers (NSCLCs) and determine their association with clinical and histopathological features. Lung adenocarcinoma (LUAD) displayed "lineage vacillation" defined by extensive heterogeneity of modules from different alveolar cell types. Modules associated with late-stage LUAD were found in cells from early-stage tumors suggesting that aggressive phenotypes can be observed before clinical progression. Basal- and squamous-like intermediate cells were observed in the transition to invasive mucinous LUAD. In lung squamous cell carcinoma, a novel subtype was identified with lower levels of canonical squamous modules and higher levels of fibrinogen. Overall, this atlas elucidated the combinations of molecular programs in cancer cells that contribute to heterogeneity and aggressiveness in NSCLC. Statement of SignificanceWe performed a Gene Program Association Study (GPAS) to create an atlas of gene modules in cancer cells from NSCLCs. This atlas revealed extensive lineage vacillation, combinations of modules that defined late-stage disease, novel routes of lineage plasticity, and novel subtypes in lung adenocarcinoma or lung squamous cell carcinoma.
Matching journals
The top 2 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Inflammation in the tumor-adjacent lung as a predictor of clinical outcome in lung adenocarcinoma 97%
- Single-Cell RNA Sequencing Reveals the Effects of Chemotherapy on Human Pancreatic Adenocarcinoma and its Tumor Microenvironment 97%
- Oncogenic RAS activity predicts response to chemotherapy and outcome in lung adenocarcinoma 97%
Similar papers in this journal
Similar papers in this journal
- Disruption of metazoan gene regulatory networks in cancer alters the balance of co-expression between genes of unicellular and multicellular origins 97%
- An integrated single-cell RNA-seq map of human neuroblastoma tumors and preclinical models uncovers divergent mesenchymal-like gene expression programs. 96%
- RNA allelic frequencies of somatic mutations encode substantial functional information in cancers 95%
Similar papers in this journal
Similar papers in this journal
- Deep learning uncovers histological patterns of YAP1/TEAD activity related to disease aggressiveness in cancer patients. 95%
- Network-based approach elucidates critical genes in BRCA subtypes and chemotherapy response in Triple Negative Breast Cancer 95%
- Proximity and metabolic activity of the Tumour Microenvironment as predictors of survival in High Grade Serous Ovarian Cancer (HGSOC) 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.