RNA sequencing reveals molecular subtypes across adenocarcinoma, squamous, and small cell lung cancer.

RNA sequencing of 1,824 lung cancer tumors defines nine transcriptional clusters spanning adenocarcinoma, squamous, and small cell, including a neuroendocrine-like adenocarcinoma group.

• Why it matters: Histologic diagnosis alone may not capture shared or overlapping biology across lung cancer types, limiting how gene expression relates to clinical behavior and genetics.
• What they did: The authors integrated RNA-seq across major lung cancer types to build a reference landscape of nine transcriptional clusters and linked them to clinical features, genetic alterations, immune characteristics, and survival.
• The result: The clusters are associated with multiple tumor properties and patient outcomes, and the Oncoscape interactive resource enables comparisons between patient tumors and patient-derived xenograft models.

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