AI Article Synopsis

  • Well-differentiated lung neuroendocrine tumors (Lu-NETs), including typical and atypical carcinoids, account for 30% of neuroendocrine tumors, with angiogenesis being crucial for their development and progression.
  • A study examined microvessel density (MVD) and hypoxia in 53 lung NETs, revealing that right-lung tumors had significantly higher vascularity compared to left-lung tumors.
  • The results indicate that left-sided Lu-NETs tend to be less vascularized and more hypoxic, suggesting this location-related difference could have important prognostic and predictive implications for patient outcomes.

Article Abstract

Well-differentiated lung neuroendocrine tumours (Lu-NETs), classified as typical (TC) and atypical (AC) carcinoids, represent 30% of NETs. Angiogenesis plays an essential role in NET development and progression. A higher vascular network is a marker of differentiation, with positive prognostic implications. Materials and Methods: We retrospectively evaluated microvessel density (MVD) by CD34 immunohistochemical (IHC) staining and hypoxia by IHC staining for Hypoxia-inducible factor 1α (HIF-1α), comparing right- and left-lung parenchyma in 53 lung NETs. Results: The median age was 66 years (39−81), 56.6% males, 24.5% AC, 40.5% left-sided tumours and 69.8% TNM stage I. The mitotic count was <2/10 per 10 HPF in 79.2%, and the absence of necrosis in 81.1%, 39.6% with Ki67, was ≤2%. The MVD, the number of vessels and the average vessel area median values were significantly higher in the right than the left parenchyma (p: 0.025, p: 0.019, p: 0.016, respectively). Hypoxia resulted present in 14/19 (73.6%) left tumours and in 10/20 (50%) right tumours in the parenchyma (p: 0.129). Conclusions: This study suggests a biological rationale for a different angiogenesis and hypoxia according to the Lu-NETs’ location. In our study, left primary tumours were less vascularized and most likely to present hypoxia than right primary tumours. This finding could have potentially useful prognostic and predictive implications for Lu-NETs.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9570740PMC
http://dx.doi.org/10.3390/jcm11195958DOI Listing

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