From histopathology to molecular taxonomy: predicting pituitary neuroendocrine tumors invasiveness

Pituitary neuroendocrine tumors (PitNETs) are among the most prevalent intracranial tumors in adults. Although most follow an indolent clinical course, a substantial subset exhibits local invasion, which can limit gross total resection and increase the risk of residual disease and recurrence. Importantly, anatomical invasiveness should not be equated with clinical aggressiveness. Aggressive PitNETs may also exhibit a longitudinal pattern of repeated or multiple local recurrences and frequently require multiple therapeutic interventions. The 2022 Fifth Edition of the WHO Classification formally renamed pituitary adenomas to PitNETs and established a lineage classification framework centered on core transcription factors, including PIT1, TPIT, and SF1, thereby driving the transition from traditional pathological diagnosis to molecular subtyping. Driven by recent advances in high-throughput sequencing, liquid biopsy, and single-cell omics, numerous novel molecular biomarkers have emerged, enabling the early pre- and postoperative identification of invasive subpopulations. This review systematically outlines recent progress in multidimensional biomarkers—including DNA methylation, protein markers, non-coding RNAs, liquid biopsy indicators, and tumor microenvironmental features—to provide an updated synthesis of candidate biomarkers that may support future risk stratification and individualized management of invasive PitNETs.

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Publication Details

Journal
Frontiers in Endocrinology
Published
2026-10-27
DOI
https://doi.org/10.3389/fendo.2026.1907825
Primary Topic
Pituitary Gland Disorders and Treatments
Type
article
Field-Weighted Citation Impact
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article

From histopathology to molecular taxonomy: predicting pituitary neuroendocrine tumors invasiveness

Dahai Wan, Xile Pei, 郭红宇, Yuqi Sun et al.
4 links
Frontiers in Endocrinology
Pituitary Gland Disorders and Treatments
article

From histopathology to molecular taxonomy: predicting pituitary neuroendocrine tumors invasiveness

Dahai Wan, Xile Pei, 郭红宇, Yuqi Sun, Yuanda Yang, Yuzhen Yang, Chunfa Wu, Boyuan Zhang
article en

Abstract

Pituitary neuroendocrine tumors (PitNETs) are among the most prevalent intracranial tumors in adults. Although most follow an indolent clinical course, a substantial subset exhibits local invasion, which can limit gross total resection and increase the risk of residual disease and recurrence. Importantly, anatomical invasiveness should not be equated with clinical aggressiveness. Aggressive PitNETs may also exhibit a longitudinal pattern of repeated or multiple local recurrences and frequently require multiple therapeutic interventions. The 2022 Fifth Edition of the WHO Classification formally renamed pituitary adenomas to PitNETs and established a lineage classification framework centered on core transcription factors, including PIT1, TPIT, and SF1, thereby driving the transition from traditional pathological diagnosis to molecular subtyping. Driven by recent advances in high-throughput sequencing, liquid biopsy, and single-cell omics, numerous novel molecular biomarkers have emerged, enabling the early pre- and postoperative identification of invasive subpopulations. This review systematically outlines recent progress in multidimensional biomarkers—including DNA methylation, protein markers, non-coding RNAs, liquid biopsy indicators, and tumor microenvironmental features—to provide an updated synthesis of candidate biomarkers that may support future risk stratification and individualized management of invasive PitNETs.

Frontiers in EndocrinologyVol. 17
Shanxi Medical University (CN), First Hospital of Shanxi Medical University (CN)
Good health and well-being
Openalex Percentile: Top 11%
Pituitary Gland Disorders and Treatments
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