Publications by authors named "Lientu Wang"

Background: Routine clinical surveillance involves serial radiographic imaging following radical surgery in localized non-small cell lung cancer (NSCLC). However, such surveillance can detect only macroscopic disease recurrence and is frequently inconclusive. We investigated if detection of ctDNA before and after resection of NSCLC identifies the patients with risk of relapse, and furthermore, informs about response to management.

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Article Synopsis
  • Patients with lung adenocarcinoma and bone metastases generally have poor outcomes with standard therapies, prompting a study to see if more detailed genetic profiling could lead to better-targeted treatments using tyrosine kinase inhibitors (TKIs).
  • Biopsies from primary tumors and bone metastases of 17 patients were analyzed, revealing that a significant number of patients had targetable mutations, especially in EGFR and ALK genes, with additional mutations identified that could influence treatment decisions.
  • The study concludes that comprehensive genetic testing should be integrated into treatment plans for newly diagnosed patients to enhance personalized therapies and potentially improve survival rates by addressing both primary tumors and their metastases.
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Background: Lung adenocarcinomas (LUADs) that display radiologically as subsolid nodules (SSNs) exhibit more indolent biological behaviour than solid LUADs. SSNs, commonly encompassing pre-invasive and invasive yet early-stage adenocarcinomas, can be categorised as pure ground-glass nodules and part-solid nodules. The genomic characteristics of SSNs remain poorly understood.

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The prevalence of mutations in cancer susceptibility genes such as and and other cancer susceptibility genes and their clinical relevance are largely unknown among a large series of unselected breast cancer patients in the Chinese population. A total of 8,085 consecutive unselected Chinese breast cancer patients were enrolled. Germline mutations in 46 cancer susceptibility genes were detected using a 62-gene panel.

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