Integrative genomic and transcriptomic profiling of pulmonary sarcomatoid carcinoma identifies molecular subtypes associated with distinct immune features and clinical outcomes

Background:Pulmonary sarcomatoid carcinoma(PSC)is a rare and aggressive subtype of non-small cell lung cancer(NSCLC),characterized by the presence of epithelial and sarcoma-like components.The molecular and immune landscape of PSC has not been well defined.Methods:Multiomics profiling of 21 pairs of PSCs with matched normal lung tissues was performed through targeted high-depth DNA panel,whole-exome,and RNA sequencing.We describe molecular and immune features that define subgroups of PSC with disparate genomic and immunogenic features as well as distinct clinical outcomes.Results:In total,27 canonical cancer gene mutations were identified,with TP53 the most frequently mutated gene,followed by KRAS.Interestingly,most TP53 and KRAS mutations were earlier genomic events mapped to the trunks of the tumors,suggesting branching evolution in most PSC tumors.We identified two distinct molecular subtypes of PSC,driven primarily by immune infiltration and signaling.The Immune High(IM-H)subtype was associated with superior survival,highlighting the impact of immune infiltration on the biological and clinical features of localized PSCs.Conclusions:We provided detailed insight into the mutational landscape of PSC and identified two molecular subtypes associated with prognosis.IM-H tumors were associated with favorable recurrence-free survival and overall survival,highlighting the importance of tumor immune infiltration in the biological and clinical features of PSCs.

Protein phosphatase magnesium-dependent 1δ is a novel tumor marker and target in hepatocellular carcinoma

Hepatocellular carcinoma （HCC） is a lethal liver malignancy worldwide. In this study, we reported that protein phosphatase magnesium-dependent 16 （PPM1D） was highly expressed in the majority of HCC cases （approximately 59%） and significantly associated with high serum a-fetoprotein （AFP） level （P = 0.044）. Kaplan- Meier and Cox regression data indicated that PPM1D overexpression was an independent predictor of HCC- specific overall survival （HR, 2.799; 95% CI, 1.346-5.818, P = 0.006）. Overexpressing PPM1D promoted cell viability and invasion, whereas RNA interference-mediated knockdown of PPM1D inhibited proliferation, invasion, and migration of cultured HCC cells. In addition, PPM1D suppression by small interfering RNA decreased the tumorigenicity of HCC cells in vivo. Overall, results suggest that PPM1D is a potential prognostic marker and therapeutic target for HCC.