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Neuroendocrine Pulmonary Tumors of Low, Intermediate and High Grade: Anatomopathological Diagnosis—Prognostic and Predictive Factors

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Abstract

Neuroendocrine tumors (NETs) belong to a heterogeneous family of rare tumors with very broad and complex clinical behavior. Due to their heterogeneity, the lack of specific symptoms and the absence of sensitive methods for early detection, patients are usually diagnosed when the disease is in an advanced state for which curative treatments are scarce. In most cases, these few treatments try to prolong the survival of patients, maintaining the quality of life. The identification of biomarkers could help to improve early diagnosis and to choose the most suitable therapeutic strategy. This paper provides a review of the current histopathological diagnostic approaches for lung NET subtypes, including the predictive and prognostic factors, to help in the early diagnosis of this disease.

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Acknowledgements

The authors wish to thank Dr. Fernando Sánchez Barbero and Springer Healthcare from Springer Nature group for help in the preparation of the manuscript.

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Correspondence to Jesús García Mata.

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The authors (JMC-T, JAMM, OFC and JGM) declare that they do not have any conflict of interest that may inappropriately influence this work.

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Novartis provided financial support for medical writing services. José Manuel Cameselle-Teijeiro was also partially supported by Grant PI15/01501/co-financed-FEDER from the Instituto de Salud Carlos III, Ministry of Economy and Competitiveness, Spain.

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Cameselle-Teijeiro, J.M., Mato Mato, J., Fernández Calvo, O. et al. Neuroendocrine Pulmonary Tumors of Low, Intermediate and High Grade: Anatomopathological Diagnosis—Prognostic and Predictive Factors. Mol Diagn Ther 22, 169–177 (2018). https://doi.org/10.1007/s40291-018-0315-2

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