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Prognostic Value of Selected Histologic Features for Lung Squamous Cell Carcinoma.

Justine FanSamuel M DeFinaHe Wang
Published in: Exploratory research and hypothesis in medicine (2022)
The recent histologic subtyping of lung adenocarcinoma has demonstrated the prognostic values of histologic patterns in this malignancy. However, the histological features of lung squamous cell carcinoma (SCC) are much less established. This short review discusses several promising histological prognostic markers for SCC, including tumor budding, tumor cell nesting, and the spreading of tumors through air spaces. Wherever appropriate, the biological significance of these morphological features was also discussed. The investigators consider that histological prognostic markers are highly valuable in understanding the cancer biology of SCC, and in guiding clinical treatment. However, larger clinical cohorts are needed to better establish the prognostic values of the aforementioned histological markers. The application of modern technologies, including machine-learning, would make the histological analysis accurate and reproducible.
Keyphrases
  • squamous cell carcinoma
  • machine learning
  • single cell
  • papillary thyroid
  • lymph node metastasis
  • high resolution
  • cell therapy
  • mesenchymal stem cells
  • radiation therapy
  • bone marrow
  • big data