Lung carcinoma is one of the most common cancer types for both men and women. Despite recent breakthroughs in targeted therapy and immunotherapy, it is characterized by a high metastatic rate, which can significantly affect quality of life and prognosis. Rictor (encoded by the RICTOR gene) is known as a scaffold protein for the multiprotein complex mTORC2. Among its diverse roles in regulating essential cellular functions, mTORC2 also facilitates epithelial–mesenchymal transition and metastasis formation. Amplification of the RICTOR gene and subsequent overexpression of the Rictor protein can result in the activation of mTORC2, which promotes cell survival and migration. Based on recent studies, RICTOR amplification or Rictor overexpression can serve as a marker for mTORC2 activation, which in turn provides a promising druggable target. Although selective inhibitors of Rictor and the Rictor-mTOR association are only in a preclinical phase, they seem to be potent novel approaches to reduce tumor cell migration and metastasis formation. Here, we summarize recent advances that support an important role for Rictor and mTORC2 as potential therapeutic targets in the treatment of lung cancer. This is a traditional (narrative) review based on Pubmed and Google Scholar searches for the following keywords: Rictor, RICTOR amplification, mTORC2, Rictor complexes, lung cancer, metastasis, progression, mTOR inhibitors.

Recent advances in the subclassification of small cell lung carcinomas (SCLCs) may help to overcome the unmet need for targeted therapies and improve survival. However, limited information is available on how the expression of the subtype markers changes during tumour progression. Our study aimed to compare the expression of these markers in primary and brain metastatic SCLCs. Immunohistochemical analysis of the subtype markers was performed on 120 SCLCs (including 10 matched samples) and SCLC xenografts. Compared to primary SCLCs, there was a significant increase in the proportion of mixed subtypes in brain metastases, with a rate of ASCL1^high/NeuroD1^high and ASCL1^high/NeuroD1^high/YAP1^high subtypes increasing to 48 % and 18 %, respectively. The subtype of the paired samples matched in only one-third of the cases. Although we did not observe a significant change after chemotherapy, a continuous decrease in ASCL1 expression coupled with an increase in the NeuroD1 expression was detected in the xenografts in a long-term experiment. Our results indicate that the expression of subtype markers frequently changes during disease progression, and subtype analysis of the primary SCLC may not provide accurate information about the characteristics of the recurrent or metastatic tumour. Therefore, repeated sampling and subtyping may be necessary for subtype-specific targeted therapy.

Aims: Lymphangioleiomyomatosis (LAM) is a PEComa that primarily affects premenopausal women and is associated with the cystic destruction of the lung. Although smooth muscle and melanocytic markers can be helpful, histologic diagnosis of LAM remains challenging, especially in small biopsies. Glycoprotein non‐metastatic melanoma protein B (GPNMB) expression has recently been identified as a highly specific and sensitive immunohistochemical marker for PEComas. Nevertheless, only a few LAM cases have been studied so far. The aim of this study was to assess the utility of GPNMB immunohistochemistry as an ancillary marker in a larger cohort of LAM samples. Methods and results: Immunohistochemistry for GPNMB was performed on cases of LAM ( N = 15), potential differential diagnostic mimics ( N = 30) and normal lung tissue ( N = 2). Immunohistochemistry was assessed using the H‐score method; an H‐score above 100 was considered ‘high’. All LAM cases showed strong cytoplasmic expression, with cell membrane accentuation in some areas. In contrast, differential diagnostic mimics were either negative or only weakly positive. Normal lung parenchyma was negative for GPNMB; however, weak‐to‐moderate expression was seen in alveolar macrophages in both the normal and diseased lung tissues in most cases. Considering only ‘high’ positivity, GPNMB immunohistochemistry showed 100% sensitivity and specificity for the diagnosis of LAM in our cohort. Conclusions: Based on its 100% sensitivity and specificity, GPNMB appears to be a highly valuable immunohistochemical marker for the diagnosis of pulmonary LAM. Besides its diagnostic value, the membrane positivity of GPNMB on LAM cells may predict a response to glembatumumab vedotin, an antibody‐drug conjugate targeting GPNMB.