Liang Cheng: Can Molecular Classification Improve Outcomes in Prostatic Neuroendocrine Tumors?
Liang Cheng/LinkedIn

Liang Cheng: Can Molecular Classification Improve Outcomes in Prostatic Neuroendocrine Tumors?

Liang Cheng, Director of Anatomic and Molecular Pathology at Brown Pathology and Laboratory Medicine, shared on LinkedIn:

“In case you missed my earlier post, here’s the companion (twin!) comprehensive review on prostatic neuroendocrine tumors, published in Endocrine Pathology, written by Dr. Anandi Lobo.

Title: Reappraisal of Neuroendocrine Tumor Classification of the Prostate Gland: Translating Molecular Insights into Clinical Practice PMID: 40699451

Prostatic neuroendocrine tumors represent a rare but highly aggressive spectrum of prostate cancers. Their biology is shaped by androgen receptor suppression, tumor suppressor loss, oncogene activation, transcriptional reprogramming, and epigenetic plasticity.

This review makes the case that current classification systems remain inadequate to capture the diversity of these tumors, and it proposes a prostate – specific model that integrates morphology, molecular features, and clinical setting.

The review also examines how advances in molecular diagnostics, liquid biopsy, targeted therapies, immunotherapy, and theranostics are beginning to open new therapeutic avenues.

Ultimately, a shift toward molecularly informed classification and management offers the best opportunity to improve risk stratification, treatment selection, and survival for patients with these challenging tumors.

The full article is freely available.

You can also read it here.”

Liang Cheng: Can Molecular Classification Improve Outcomes in Prostatic Neuroendocrine Tumors?

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See also: 100 Xfluencers in Prostate Cancer: Key Opinion Leaders to follow on X (Twitter) in 2025

Liang Cheng was recognized among OncoDaily’s 100 Xfluencers in Prostate Cancer: Key Opinion Leaders to follow on X (Twitter) in 2025, highlighting his contributions to the field of oncology.

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Liang Cheng: Can Molecular Classification Improve Outcomes in Prostatic Neuroendocrine Tumors?