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Immunity, Inflammation and Disease logoLink to Immunity, Inflammation and Disease
. 2024 Dec 17;12(12):e70098. doi: 10.1002/iid3.70098

Advancements in Molecular Diagnosis and Pharmacotherapeutic Strategies for Invasive Pituitary Adenomas

Dingkai Xu 1, Ling Wang 2, Maohua Zheng 1,
PMCID: PMC11650491  PMID: 39688352

ABSTRACT

Background

The overwhelming majority of pituitary tumors consist of pituitary adenomas (PAs), which have recently also been termed pituitary neuroendocrine tumors (PitNETs). Clinically significant PAs occur in approximately one in every 1000 individuals, while other types of pituitary tumors, such as craniopharyngiomas and pituicytomas, are significantly less common. Although PAs are generally benign, a subset of them exhibits malignant‐like biological traits. They tend to infiltrate and grow aggressively into adjacent tissues and organs, including the dura mater, cavernous sinus, and sphenoid sinus. This invasive behavior often results in the destruction of the normal anatomical architecture of the sella turcica and skull base. Clinically, such tumors are classified as invasive PAs (IPAs), emphasizing their aggressive and destructive nature.

Objective and Significance

Currently, the diagnostic indicators for IPAs frequently suffer from suboptimal sensitivity and specificity. The invasiveness assessment of PAs lacks a definitive gold standard and instead serves as a predictive tool, with a greater number of indicators met suggesting a higher likelihood of invasiveness. Consequently, a comprehensive approach that integrates imaging, pathological, molecular biological, and other disciplinary metrics is crucial for accurate evaluation. Despite surgery being the primary treatment modality for IPAs, their malignant‐like behavior complicates complete resection, resulting in lower resection rates and heightened postoperative recurrence, necessitating multiple surgeries. Therefore, adjunctive drug therapy is often necessary for IPA patients. Preoperative drug therapy can shrink tumor size, facilitating resection and postoperative recovery, mitigating hormone imbalances, delaying recurrence, and enhancing patients' quality of life.

Conclusions

This article comprehensively reviews the diagnostic criteria for assessing the invasiveness of PAs in the domains of imaging, pathology, and molecular biology, provides an overview of the current research status of drug therapy for these conditions, and deepens our insight into the biological and therapeutic aspects of the tumor microenvironment in PAs.

Keywords: biomarker, invasiveness, miRNA, oncogene, pituitary adenoma

1. Introduction

In the fifth edition of the WHO Classification of Endocrine Tumors and Central Nervous System Tumors, published in 2022, pituitary adenomas (PAs) have been redefined as pituitary neuroendocrine tumors (PitNETs), thereby assigning an oncology classification to these predominantly benign neoplasms [1]. PAs exhibit a wide range of sizes, hormonal secretion profiles, and varying invasiveness. Classified based on hormonal hypersecretion, PAs are divided into functional and nonfunctional subtypes. Functional PAs, including prolactin (PRL)‐secreting adenomas (also called prolactinomas, accounting for approximately 50% to 55% of secretory adenomas), growth hormone (GH)‐secreting adenomas (also called somatotropinomas, accounting for approximately 20% to 30%), adrenocorticotropic hormone (ACTH)‐secreting adenomas (also called corticotropinomas, accounting for approximately 5% to 15%), gonadotropin (GN)‐secreting adenomas (also called gonadotropinomas, relatively uncommon, accounting for 5% to 15% of cases), and thyroid‐stimulating hormone (TSH)‐secreting adenomas (also called thyrotropinomas, extremely rare, accounting for less than 1% of cases), primarily cause excessive secretion of pituitary hormones, leading to clinical manifestations like amenorrhea, developmental delays, gigantism, acromegaly, Cushing's syndrome, and sexual dysfunction (Table 1 [2]). In contrast, nonfunctional pituitary adenomas (NFPAs) may remain asymptomatic initially but can later cause headaches due to tumor expansion and compression of adjacent brain tissue, particularly the optic chiasm [3].

Table 1.

The subtypes of PAs and their associated diseases.

Subtypes Hormone hypersecretion Percentage Diseases Symptoms
Prolactinomas Prolactin 50%−55% Hyperprolactinemia

Women: menstrual irregularities, infertility, galactorrhea

Men: erectile dysfunction, decreased libido, infertility, gynecomastia

Tumor mass effect: headache, visual impairments

Somatotropinomas Growth hormone 20%−30%

Gigantism (pre‐puberty)

Acromegaly (post‐puberty)

Excessive bone growth, facial deformation, enlarged joints, skin thickening, diabetes, heart problems
Corticotropinomas Adrenocorticotropic hormone 5%−15% Cushing's syndrome Central obesity, moon face, buffalo hump, purple striae on skin, hypertension, osteoporosis
Gonadotropinomas

Follicle‐stimulating hormone

Luteinizing hormone

5%−15% Usually nonfunctional, but may cause sex hormone abnormalities

Precocious puberty, sexual dysfunction, infertility

Tumor mass effect: headache, visual impairments

Thyrotropinomas Thyroid‐stimulating hormone < 1% Central hyperthyroidism Heat intolerance, excessive sweating, palpitations, increased appetite, weight loss, irritability

Both functional and nonfunctional PAs can demonstrate invasive capabilities, traversing the sella turcica floor and dura mater to infiltrate regions like the sphenoid sinus, cavernous sinus, and suprasellar area [4]. Consequently, PAs are further categorized based on their biological behavior into noninvasive adenomas, invasive PAs (IPAs), and pituitary carcinomas [5]. Although histologically these three categories may not be entirely distinguishable, they exhibit distinct growth patterns and behaviors. Noninvasive adenomas grow in an expansive manner, often surrounded by a pseudocapsule, and maintain certain boundaries. In contrast, IPAs exhibit an infiltrative growth pattern, invading adjacent structures. A diagnosis of pituitary carcinoma is only confirmed in cases where there is both intracranial and extracranial metastasis [5]. It is crucial to emphasize that IPAs, despite their invasive nature, remain histologically and biologically benign tumors. Clinically, IPAs are often large adenomas, attributable to their heightened proliferation rate and rapid growth. Notably, NFPAs frequently attain considerable sizes, even reaching the classification of giant adenomas, by the time clinical symptoms emerge [6]. The interval between symptom onset and diagnosis is notably shorter for patients with IPAs compared to those with noninvasive adenomas [7]. Moreover, IPAs demonstrate higher incidences of tissue necrosis, apoplexy, and cystic alterations than noninvasive adenomas [6]. Currently, surgical resection is the primary treatment for PAs, but complete tumor removal is achieved in only 66%−78% of cases [8]. When surgery and chemotherapy are unsuccessful, radiotherapy is often selected to treat PAs, albeit with risks to healthy tissue, such as visual loss, hypopituitarism, and cerebrospinal fluid leaks [9]. This clinical challenge has prompted researchers to explore new markers and therapies. As our understanding of the tumor microenvironment (TME) evolves, immunotherapy emerges as a promising option for drug‐resistant or recurrent PAs [10]. The TME, arising from the interplay between tumor cells and the host, is a complex setting composed of fibroblasts, myofibroblasts, endothelial cells, immune cells, and the extracellular matrix (ECM), influencing tumor proliferation, invasiveness, and angiogenesis [11]. Current research emphasizes immune cells within the TME, including myeloid cells (e.g., tumor‐associated macrophages, dendritic cells) and lymphocytes (e.g., T and B cells), collectively termed tumor microenvironmental immune cells [12]. Despite limited studies on PA immunity, this review also discusses current immunological research to highlight the potential of immune molecules in predicting prognosis and guiding clinically targeted therapy for PAs.

Currently, there exists no unified standard for precisely defining and diagnosing IPAs. The primary basis for diagnosing these tumors relies on a comprehensive evaluation encompassing preoperative imaging, intraoperative exploration, postoperative pathological diagnosis, and molecular biological assessment, all aimed at elucidating tumor growth patterns and biological behavior.

2. Preoperative Neuroimaging Assessment

Neuroimaging plays a pivotal role in determining the invasiveness of PAs, particularly before surgery. It primarily assesses whether the adenoma has infiltrated surrounding bone structures, the cavernous sinus, sphenoid sinus, nasopharyngeal cavity, nasal cavity, and other adjacent areas [13]. On X‐ray plain films, IPAs can exhibit destruction of surrounding bone structures, such as the sella floor and dorsum sellae. Computed tomography (CT) scans further reveal the extent of infiltration toward the parasellar region. Magnetic resonance imaging (MRI) preoperatively provides a clearer visualization of the invasion of PAs toward neighboring structures from three different planes [13, 14]. Early neuroimaging examinations, when combined with the morphological and secretory functions of PAs, can aid in predicting the direction of growth and diagnosing the invasiveness of PAs at an early stage. CT examination is useful for observing bone resorption, while MRI assesses the tumor's morphology and the extent of invasion by examining whether the tumor boundary extends beyond the pituitary fossa and invades surrounding tissues [15]. As PAs grow upwards, they may invade the diaphragm sellae and enter the suprasellar cistern. Lateral growth, on the other hand, may involve the cavernous sinus, resulting in displacement, narrowing, or even disappearance of normal cavernous sinus structures.

Currently, MRI stands as the most effective auxiliary examination for predicting tumor invasion in PAs [16]. Both MRI plain scan and enhancement scans offer clear visualization of PAs, their relationship with surrounding structures, as well as tumor apoplexy and cystic changes. The presence of the following signs indicates infiltrative growth of PAs: The tumor breaches the sella floor and protrudes into the sphenoid sinus; the normal morphology of the cavernous sinus is lost, with outward bulging of its edges and indistinct boundaries between the cavernous sinus and the tumor, indicating cavernous sinus invasion. The early enhancement of tumor signals is also suggestive; the diameter of the encircling internal carotid artery narrows or its branches are affected; abnormal signals with irregular edges are observed in the bone of the clivus [5, 17]. Furthermore, when PAs infiltrate the adjacent brain parenchyma, a high level of suspicion for PA infiltration should be maintained [17]. Additionally, imaging indicators can be synergistically used with specific subtypes of PAs to enhance diagnostic accuracy. The subtype of PAs is a crucial determinant of their biological behaviors [18]. For instance, GN‐PAs (especially in elderly patients) are typically noninvasive, whereas sparsely granulated GH‐PAs, Crooke cell adenomas, silent ACTH‐PAs, PRL‐PAs occurring in males, and pituitary‐specific transcription factor 1 (Pit‐1) positive PAs secreting multiple hormones tend to be invasive. Therefore, combining imaging findings with the aforementioned PA subtypes can further clarify whether a PA is invasive or not. Pituitary apoplexy represents a critical and emergent complication that can arise in patients with IPAs. Its intricate etiology is postulated to stem from rapid tumor expansion, which triggers intratumoral ischemia, necrosis, and subsequent hemorrhage. Additionally, the proliferation of irregular blood vessels within the tumor can give rise to fragile sinuses prone to rupture and bleeding [19]. Clinically, this condition presents abruptly with severe symptoms like intense headaches, sudden vision loss, nausea, vomiting, and in severe cases, even altered consciousness, posing a grave risk to patients' lives [20]. Imaging techniques, notably MRI, are instrumental in detecting signs of intratumoral hemorrhage, offering vital insights that guide clinical diagnosis and subsequent treatment strategies.

The invasive nature of IPAs often results in compression of the optic nerve and optic chiasm, causing visual field defects and gradual vision loss [21]. Visual field monitoring serves as an early warning system, promptly detecting any alterations in visual function, which is invaluable for assessing tumor progression and the effectiveness of treatment. Advances in medical imaging technology have significantly enhanced the sophistication of visual field monitoring techniques for IPAs. High‐resolution MRI and CT scans now offer unprecedented clarity in visualizing the intricate anatomical relationship between the tumor and adjacent structures, particularly the extent of compression on the optic nerve and optic chiasm [22]. Additionally, functional MRI techniques, including DTI (diffusion tensor imaging) and fMRI (functional MRI), have emerged as powerful tools for assessing the structural integrity and functional capacity of optic nerve fiber bundles, providing a more holistic view of visual function and facilitating targeted monitoring [23].

Despite advancements in imaging technology, including 3.0 T MRI, there are inherent limitations in accurately assessing the degree of invasiveness of PAs [24]. Certain PAs, despite appearing large and potentially invasive on imaging, may actually be encapsulated within a distinct cyst, sparing adjacent tissues from true invasion and permitting complete resection. Additionally, when IPAs ascend, their morphology can closely resemble that of adenomas with expansive growth, rendering them undistinguishable as a definitive marker of invasiveness [25]. Consequently, relying exclusively on imaging metrics may erroneously prompt surgeons to adopt overly extensive surgical approaches for PA removal. Ultimately, surgical observations and subsequent pathological examinations remain indispensable for an accurate assessment of PA invasiveness.

The Knosp grading system is one of the most commonly used imaging scoring systems for PAs, primarily used to assess the likelihood of cavernous sinus invasion by large PAs. This system evaluates the relationship between PAs and the cavernous sinus by measuring the connection between the adenoma and the diameter of the C4 and C6 segments of the internal carotid artery on coronal MRI of the cavernous sinus (Table 2 [26, 27, 28]). The Hardy–Wilson classification system is also a commonly used grading method in the radiological assessment of PAs. It is primarily used to evaluate the expansion of adenomas, their growth upward or downward toward the diaphragma sellae or sellar floor, and their extension beyond the sella turcica. This system is divided into two parts: grading the expansion of adenomas and grading the suprasellar extension of adenomas (Table 3 [29, 30, 31]).

Table 2.

The Knosp grading system provides a structured approach to assessing the invasion of PAs into the cavernous sinus, aiding in clinical decision‐making and treatment planning.

Grade Description
0 Tumor is located inside the inner tangent line
1 Adenoma extends beyond the inner tangent line but does not exceed the median line
2 Tumor extends beyond the median line but does not exceed the outer tangent line
3 Tumor extends outside the outer tangent line
3A Tumor extends above the cavernous sinus to outside the outer tangent line
3B Tumor extends below the cavernous sinus to outside the outer tangent line
4 Internal carotid artery within the cavernous sinus is completely surrounded by the tumor

Table 3.

The Hardy–Wilson classification system is commonly used in the radiological assessment of PAs. It evaluates both the expansion of the adenoma and its suprasellar extension.

Assessment of adenoma expansion Assessment of suprasellar extension of adenoma
Grade Description Grade Description
0 Microadenoma, confined within the sella turcica with intact sella floor A Adenoma involving only the suprasellar cistern
I Tumor < 10 mm, with only enlargement of the sella floor but no bony destruction B Adenoma involving the floor of the third ventricle, causing upward convexity
II Tumor ≥ 10 mm, with overall or localized enlargement of sella turcica, intact sella floor C Adenoma involving the anterior one‐third of the third ventricle
III Adenoma ≥ 10 mm, enlargement of the sella turcica with focal bony destruction, partial tumor protrusion beyond the sella D Asymmetric upward growth, adenoma protruding into the intracranial space, reaching the level of the foramina of Monro
IV Diffuse adenoma spread, diffuse destruction of sella turcica structure, adenoma invading surrounding structures such as cavernous sinus, optic nerve, temporal lobe E Asymmetric lateral growth, invading the cavernous sinus

3. Intraoperative Evaluation

During the surgical procedure, under the meticulous scrutiny of the surgical microscope, it is crucial to meticulously observe whether there is any encroachment of adenoma tissues into the adjacent structures, inclusive of the dura mater, bone, cavernous sinus, cranial nerves, blood vessels, and brain tissue [32]. The presence of invasion is typically discernible by a roughened texture in the affected area. It is important to clarify that although PAs can exhibit expansive growth in various directions, even traversing the diaphragm sellae and adopting a dumbbell shape through the sella turcica foramen, those that grow solely in this dumbbell configuration without infiltrating surrounding tissues are not classified as invasive adenomas. Furthermore, the expansive nature of these adenomas can lead to chronic compression, leading to thinning or even defects in the sellar floor bone. Nevertheless, thinning or destruction of the sellar floor alone does not conclusively indicate adenoma invasion. Rather, a definitive diagnosis of invasion necessitates the confirmation of dura mater involvement or pathological examination revealing adenoma cell infiltration within the adjacent tissues [33].

4. Postoperative Dural Pathology Evaluation and Diagnosis

The pathological examination subsequent to surgery serves as a pivotal objective criterion for diagnosing IPAs. By scrutinizing the dural tissue procured during the surgical procedure, pathologists can ascertain the presence or absence of adenoma cell infiltration. In the realm of pathology, several conventional markers are utilized to evaluate the aggressiveness of malignant tumors, including mitotic figures, nuclear atypia, hyperchromatic nuclei, cellular necrosis, and cellular pleomorphism [34]. Advanced microscopic studies have uncovered notable differences between invasive and noninvasive PA specimens, with the invasive group exhibiting heightened rates of nucleolus formation, elevated nucleus‐to‐cytoplasm ratios, and increased mitochondrial counts [5, 7, 35]. These findings underscore the utility of these three indicators in predicting the invasive nature of PAs. Additionally, immunohistochemical analyses have revealed augmented expression levels of MMP‐9 and vascular endothelial growth factor (VEGF) in specimens displaying higher nucleolus frequency, nucleus‐to‐cytoplasm ratios, and mitochondrial abundances, reinforcing the notion that the ultrastructural characteristics of IPA cells are intimately linked to their invasive growth patterns. Nevertheless, it is widely acknowledged that there exists a subtle morphological overlap between invasive and noninvasive PAs, rendering conventional histopathological examination a challenging means to differentiate between the two PAs [36]. While some research has noted the occurrence of pleomorphic tumor cells and nuclei, mitotic figures, as well as capsular invasion in recurrent PAs, these features are not consistently present in IPAs and hence cannot be relied upon as reliable indicators of invasiveness or recurrence potential. Enhancing the detection rate of IPAs through pathological examination of peritumoral tissue is a valuable approach, yet the routine practice of intraoperative sampling from multiple sites poses significant challenges and heightens the risk of missed diagnoses. The discrepancies observed among various studies underscore the potential limitations of relying solely on histological features to assess PA invasiveness. Consequently, it is imperative to augment this methodology by integrating other diagnostic modalities to bolster detection accuracy.

5. Molecular Biology‐Guided Diagnosis of IPAs

Advancements in molecular biology have illuminated intricately linked to PA invasiveness, including chromosomal abnormalities, alterations in tumor suppressor genes and oncogenes, proliferation cell antigens, and microRNAs (miRNAs). A comprehensive transcriptome analysis has unveiled distinct gene expression patterns in invasive NFPAs compared to their noninvasive counterparts [37]. Notably, the localized suppression of immune responses and perturbations within the TGF‐β signaling pathway have emerged as key factors contributing to the enhanced invasiveness of PAs [37].

5.1. Genetic Changes and Invasive Growth in IPAs

5.1.1. Oncogenes and Their Roles in IPAs

The pituitary tumor‐transforming gene‐1 (PTTG1) has garnered significant attention for its overexpression in various endocrine‐related tumors, particularly in pituitary, thyroid, breast, ovarian, and uterine malignancies. Importantly, a robust correlation has been established between elevated PTTG1 levels and tumor invasiveness, positioning PTTG1 as a pivotal marker gene closely tied to tumor metastasis [38]. Elevated PTTG expression is thought to directly stimulate cellular proliferation and foster chromosomal instability, thereby enhancing the tumor's invasive potential. Current understanding suggests that PTTG plays a dominant role in the initiation, progression, invasive growth, and even the transition of PAs to pituitary carcinoma. The hyperactivity of PTTG in the cell cycle results in abnormal, recurrent, and unequal divisions without proper cytokinesis, leading to the formation of aneuploidies and the presence of multinucleated cells within pituitary tumors [39]. Consistent with this, previous investigations have documented a positive association between nuclear PTTG expression and tumor recurrence, underscoring its potential as a marker of heightened proliferation in PAs [40]. Furthermore, a meta‐analysis has revealed a potential link between PTTG expression and both tumor invasiveness and microvessel density in PAs, suggesting that assessing PTTG levels could serve as a useful tool in predicting the malignancy grade of these tumors [41].

Apoptosis emerges as a pivotal process in the development of neoplastic lesions, with Bcl‐2 playing a central role as an apoptosis‐related oncogene initially identified in human B‐cell follicular lymphoma. The overexpression of Bcl‐2 is known to extend tumor cell survival, inhibit apoptosis, and enhance tumor dissemination and invasiveness [42]. The Bcl‐2 family comprises a complex interplay of regulators, divided into two opposing functional groups: those that inhibit apoptosis, like Bcl‐2, and those that promote it, such as Bax [42]. In investigating intrasellar IPAs, a notable elevation in Bcl‐2 expression has been observed compared to noninvasive PAs, with Bax expression inversely correlated to Bcl‐2 levels [43]. Furthermore, an immunohistochemical study revealed that Bcl‐2 protein expression was markedly reduced in PRL‐PAs and NFPAs, but elevated in GH‐PAs. Conversely, Bax protein expression was significantly decreased in recurrent PAs [44]. These findings suggest that apoptosis‐related proteins like Bcl‐2 and Bax are intricately linked to hormone function and local control in PAs, highlighting their potential significance in tumor progression and behavior.

Somatic mutations in the GNAS gene are highly prevalent in sporadic GH‐PAs, with up to 50% of these tumors harboring such mutations [45]. These mutations predominantly occur at codons 201 and 227, resulting in impaired GTPase activity of the G protein subunit α (Gsα) encoded by GNAS. This, in turn, activates adenylate cyclase and elevates cyclic adenosine monophosphate (cAMP) levels, a mechanism that resembles the defects observed in patients with multiple endocrine neoplasia syndromes (MAS). Due to the paternal imprinting of GNAS in the pituitary gland, only mutations occurring on the maternal allele can lead to the development of PAs [46]. Through a series of signaling pathways, GNAS mutations ultimately promote the hypersecretion of GH and the proliferation of GH cells. While the relationship between GNAS mutations and the aggressive growth of PAs remains incompletely understood, studies have shown that GH‐PAs with GNAS mutations often exhibit unique clinical features, including older patient age, relatively smaller tumor size, lower tendency for aggressive growth, and a histologically dense‐grained morphology [47].

Over the past years, research has shown that somatic defects in ubiquitin‐specific protease 8 (USP8) codons 718–720 are a frequent genetic cause of Cushing's disease, found in up to 62% of corticotropinomas [48]. USP8 encodes ubiquitin carboxyl‐terminal hydrolase 8, a deubiquitinase involved in protein quality control. Cushing's disease‐associated USP8 variants disrupt its interaction with 14‐3‐3 proteins, leading to enhanced deubiquitinase activity and increased EGFR recycling, which boosts POMC transcription [49]. Initially, corticotropinomas harboring USP8 variants were considered to exhibit a benign phenotype, based on initial observations that they tended to be smaller compared to wild‐type tumors and typically manifested as overt Cushing's disease rather than silent corticotropinomas [50]. Furthermore, research groups noted higher rates of clinical remission among patients with USP8 variants [50, 51]. The potential of USP8 as a therapeutic target was also suggested, as inhibitors of USP8 were shown to decrease cell proliferation and ACTH secretion in mouse corticotropinoma‐derived AtT‐20 cells [52]. However, contrary findings emerged from other studies, which reported that USP8 variants were detected in larger tumors and were linked to increased recurrence rates and/or earlier recurrence times [53].

5.1.2. Tumor Suppressor Genes and Their Impacts on IPAs

TP53, a crucial tumor suppressor gene, frequently undergoes mutations in cancer cells, often resulting in heightened nuclear expression of its encoded p53 protein. This increase is typically due to reduced protein degradation mechanisms [54]. Suspicion of TP53 mutations arises when a substantial proportion of tumor cells exhibit p53 expression, given p53's pivotal role in regulating cell proliferation, apoptosis, and maintaining genomic stability. Notably, p53 expression has been implicated in the aggressive behavior of pituitary tumors, with high p53 levels correlated with cavernous sinus invasion in PAs [55]. TP53 mutations significantly influence the invasive potential of tumors. A higher proportion of TP53 variants are associated with stronger tumor invasion abilities [56]. Surprisingly, pathogenic TP53 mutations were observed at an elevated frequency in functional corticotroph macroadenomas and invasive adenomas, representing a substantial portion of these tumor types [57]. These TP53 mutations were linked to more aggressive tumor characteristics, posing significant challenges in disease management and prognosis [57]. Furthermore, TP53 mutations, which are rare and occur in both functioning and silent PAs, are associated with poor clinical outcomes in Cushing's disease, and constitute a poor prognostic factor despite their low frequency, as evidenced by both univariate and multivariate survival analyses [58]. A machine learning approach identified loss of heterozygosity (LOH) as the most predictive variable for aggressive, treatment‐refractory PAs, surpassing TP53 with an accuracy of 0.88 [59]. Notably, widespread chromosomal LOH causes significant aneuploidy particularly in corticotroph PAs, serving as a novel and highly accurate biomarker for predicting treatment‐refractoriness in IPAs [59].

The PTEN‐encoded protein acts as a phosphatase, responsible for degrading PIP3, a lipid generated by PI 3‐Kinase. By degrading PIP3, PTEN effectively counterbalances the activation of the oncogenic PI3K/AKT/mTOR signaling pathway, exerting profound effects on tumor cell cycle progression, apoptosis, tumor invasiveness, and angiogenesis [60]. Consequently, the loss of PTEN's tumor suppressor function is a common phenomenon across various tumor types, including neuroendocrine tumors. A recent investigation revealed intriguing findings regarding PTEN expression in patients with PAs. When compared to a healthy control group, patients with both invasive and noninvasive PAs exhibited a notable upregulation of PTEN expression. However, a crucial distinction emerged: patients with IPAs had significantly lower PTEN levels compared to those with noninvasive PAs [61]. This disparity underscores the pivotal role of PTEN in assessing and predicting the prognosis of elderly PA patients. Furthermore, PTEN expression was found to be reduced in PAs compared to normal pituitary tissues, with an even more pronounced decrease observed in the invasive group versus the noninvasive group. This observation suggests a strong association between PTEN expression levels and tumor invasiveness [62].

5.2. Epigenetic Changes and Invasive Growth in IPAs

5.2.1. DNA Methylation

DNA methylation is closely related to the genesis, development, and invasiveness of PAs. High DNA methylation levels are found in invasive and large PAs, with DNA methyltransferase overexpression. CpG site methylation differences in promoters can distinguish PAs from normal pituitary tissue. Histone modifications are associated with increased p53 expression and prolonged progression‐free survival in PAs. Many cell growth and signaling genes show altered methylation in PAs, including cell cycle regulators, signal transduction components, apoptotic regulators, and pituitary developmental signals [63]. Furthermore, elevated methylation levels within the promoter regions of genes such as potassium voltage‐gated channel, Shaker‐related subfamily, beta member 2 (KVβ2), O‐6‐methylguanine‐DNA methyltransferase (MGMT), echinoderm microtubule‐associated protein‐like 2 (EML2), RAS homolog family member D (RHOD), homeobox B1 (HOXB1), NNAT, and P16 suppress the expression of these genes, thereby modulating the proliferation of PAs [64]. Therefore, deeper exploration into the molecular mechanisms underlying DNA methylation in IPAs holds promise for novel diagnostic and therapeutic approaches to the disease.

5.2.2. MiRNAs

MiRNAs constitute a class of small, naturally occurring noncoding RNAs (ncRNAs) that primarily regulate gene expression post‐transcriptionally by either directly cleaving mRNAs or inhibiting protein synthesis. They also have the potential to function as oncogenes or tumor suppressor genes. Research has established a connection between abnormal miRNA expression and the development of PAs [65]. A miRNA profiling study revealed significant alterations in the expression levels of 18 upregulated and 36 downregulated miRNAs in NFPA patients compared to healthy individuals [66]. Notably, the target genes of these differentially expressed miRNAs were predominantly associated with axonogenesis and cancer‐related pathways [66]. One particular miRNA, hsa‐miR‐486‐5p, has emerged as a promising biomarker for both the diagnosis and prognosis prediction of NFPAs. Additionally, the significant decrease in the levels of miRNA‐26b, miRNA‐138, miRNA‐206, and miRNA‐let‐7e in the peripheral serum of NFPA patients compared to healthy controls suggested their potential involvement in the initiation and progression of these tumors [67]. He et al. [68] further investigated the role of miR‐448 in PA tissues and cell lines, discovering its downregulation in these contexts. Notably, enhancing the expression of miR‐448 significantly inhibited the proliferation and migration of PA cells while promoting apoptosis, highlighting its crucial role in PA progression. On the other hand, miR‐106b was found to be significantly upregulated in IPAs and was shown to modulate the migratory and invasive capabilities of PA cells by regulating PTEN expression. This, in turn, alters the activity of the PI3K/AKT signaling pathway and ultimately impacts the expression of MMP‐9, further emphasizing the complexity and significance of miRNA regulation in PA biology [69].

5.2.3. Long Noncoding RNAs (lncRNAs)

LncRNAs occupy a central position in numerous physiological and pathological processes, particularly in the initiation and progression of tumors. By intricately regulating the proliferation, migration, invasiveness, and metastatic abilities of tumor cells, lncRNAs have garnered attention as potential diagnostic and prognostic biomarkers for various tumor types, including PAs [70]. Wu et al. [71] observed that the expression of lncRNA BBOX 1‐AS1 was upregulated in PA tissues and cells. Importantly, when BBOX 1‐AS1 was downregulated, it suppressed PA cell invasion, apoptosis, and proliferation, while also inhibiting tumor growth in vivo [71]. Moreover, the knockdown of BBOX 1‐AS1 expression notably hindered tumor progression in animal models [71]. Another lncRNA, SNHG6, was found to be significantly elevated in IPA samples. This upregulation of SNHG6 enhanced the viability, migratory capacity, invasive potential, and epithelial‐to‐mesenchymal transition (EMT) process of PA cells [72]. LncRNA MYMLR was also shown to exhibit elevated expression in PA tissues compared to normal tissues. Knockdown of MYMLR reduced cell proliferation, migration, and invasion while inducing apoptosis in PA cells [73]. Furthermore, in vivo xenograft models demonstrated that MYMLR knockdown suppressed PA tumor growth [73]. A comprehensive transcriptome RNA sequencing (RNA‐seq) analysis identified LINC00473 as the most upregulated lncRNA in IPAs. This upregulation facilitated the cell cycle process, thereby promoting the proliferation of PA cells and contributing to the progression of IPAs [74]. These findings underscore the complex and multifaceted roles of lncRNAs in PA biology and their potential as therapeutic targets.

5.2.4. Circular RNAs (circRNAs)

CircRNAs, in contrast to linear RNAs, exhibit a unique closed‐loop structure and encompass a broad spectrum of biological functions. Their exceptional stability, precision in timing, tissue specificity, and disease‐specific signatures have garnered considerable interest. Extensive research has illuminated circRNAs' pivotal roles in modulating tumor growth, invasion, metastasis, metabolic processes, immune responses, and other tumor‐related mechanisms [75]. A circRNA array analysis unveiled distinct differences in the circRNA landscape between NFPAs and normal pituitary tissues. Notably, circVPS13C was markedly overexpressed in NFPA samples and cell lines, and its silencing effectively suppressed pituitary tumor cell proliferation both in vitro and in vivo [76]. Clinically, elevated circVPS13C levels were observed in invasive NFPAs, while a decrease was noted in patient serum post‐transsphenoidal resection [76]. CircNFIX, another circRNA, was found to be overexpressed in IPAs, impacting tumor cell invasion, migration, and proliferation, suggesting its potential as a therapeutic target for PAs [77]. Furthermore, circDennd1b, abundant in exosomes derived from PA fibroblasts, was significantly upregulated in PAs. Its role in enhancing cell proliferation, migration, and invasion underscores its promise as a therapeutic strategy against aggressive PAs [78]. A comparative analysis revealed a distinctive circRNA expression pattern between invasive and noninvasive NFPAs, with 91 circRNAs upregulated and 61 downregulated in the invasive subtype [79]. Notably, hsa_circRNA_102597, a downregulated circRNA, displayed a significant correlation with tumor size and Knosp grade. This circRNA, either alone or in combination with the Ki‐67 index, exhibited promise in differentiating invasive from noninvasive NFPAs and predicting tumor progression/recurrence [79]. Additionally, circDDX17 downregulation in PA tissues was associated with invasion, tumor size, and progression‐free survival of PA patients, further emphasizing the significance of circRNAs in PA biology and prognosis [80]. Enhancing circDDX17 expression significantly impeded migration and invasion capabilities, indicating its function as a tumor suppressor and highlighting its potential as a valuable biomarker and promising therapeutic target for PA management [80].

5.3. Angiogenesis and Its Significance in IPAs

The vascular architecture of normal pituitary glands and PAs exhibits stark differences. While normal pituitary acini are nourished by a capillary network abundant in fenestrations, PAs typically display a suboptimal blood supply. Electron microscopic analysis uncovers that tumor vascular endothelial cells possess fewer fenestrations, accompanied by thickened and discontinuous basement membranes, highlighting the pivotal role of angiogenesis in PA development and its predictive value for tumor growth and metastasis [81]. On the positive side, the tumor vascular network supplies oxygen and nutrients and facilitates metabolite excretion, thereby fostering tumor expansion. However, the flawed vascular wall structure and irregular basement membrane thickness can also facilitate the hematogenous dissemination of tumor cells. The malignancy grade of many tumors is directly proportional to the abundance of tumor blood vessels, with highly aggressive tumors characterized by robust angiogenesis [82]. Intriguingly, PAs exhibit notably lower vascular densities compared to non‐tumorous adenohypophysis, contrasting with other organs. This suggests that the scarcity of substantial angiogenesis may contribute to the slow growth rate of pituitary tumors and their infrequent metastases, underscoring the unique biological behavior of these neoplasms.

Angiogenesis, a complex and multi‐staged process, involves a myriad of factors intricately orchestrating each phase of neovascularization. Among these, VEGF emerges as a pre‐eminent inducer of angiogenesis, playing a pivotal role not only in developmental processes but also in pathological conditions, particularly in pituitary tumors. VEGF is firmly established as a key player in PA tumorigenesis [83]. A proteomics and ingenuity pathway analysis has illuminated the significant association of the VEGF‐enriched pathway with the proliferation, migration, and invasion of invasive pituitary tumors [84]. Furthermore, research has demonstrated that pituitary tumor‐associated fibroblasts exhibiting cavernous sinus invasion secrete notably higher levels of VEGF compared to those from noninvasive tumors. This elevated VEGF secretion has been correlated with an increased capillary density, underscoring its crucial role in promoting angiogenesis and aggressive tumor behavior [85].

5.4. Cell Cycle/Proliferation Abnormalities and Their Association With IPAs

Proliferating cell nuclear antigen (PCNA), a vital cell cycle regulatory protein intimately linked to DNA replication and cell proliferation, stands as an objective and reliable marker for predicting the surgical prognosis of PAs [86, 87]. Notably, PCNA expression positively correlates with PA invasiveness, emphasizing its significance in tumor aggressiveness. Research has revealed that the mRNA level of PCNA was significantly upregulated in invasive NFPAs compared to their noninvasive counterparts. Intriguingly, this elevation inversely correlates with the mRNA levels of Smad3 [88] and TGF‐β RII [89], suggesting that heightened PCNA expression may facilitate the development and invasion of NFPAs. Consequently, PCNA emerges as a promising biomarker for diagnosing invasive NFPAs. Moreover, a comparative study has underscored significant statistical differences in both the growth rate and PCNA expression, advocating for the utilization of PCNA as an indicator to correlate with the progression of PA growth [90].

Ki‐67 serves as a highly sensitive and specific marker for assessing the proliferation index of human tumor cells, playing a pivotal role in predicting the prognosis of numerous neuroendocrine tumors, including PAs [91]. Numerous studies have underscored the robust association between Ki‐67 expression and PA invasiveness. Notably, a significantly higher Ki‐67 antigen level has been observed in pituitary neoplasms invading the sphenoidal sinus (SS), with a cut‐off point of 3.25% indicating an elevated risk for such invasion [92]. Furthermore, an observational single‐center study revealed that patients with a higher Ki‐67 index tend to exhibit elevated GH levels, enlarged tumor sizes, and a greater propensity for cavernous sinus invasion, particularly in somatotroph pituitary tumors [93]. A retrospective analysis has also emphasized the clinical relevance of Ki‐67 in predicting the aggressiveness of PA behavior. This study demonstrated a correlation between increased Ki‐67 levels, mitotic activity, and invasiveness, highlighting the significance of Ki‐67 in forecasting the progression of IPA behavior [94].

5.5. ECM Remodeling and Its Involvement in IPAs

Matrix metalloproteinases (MMPs), a class of zinc‐dependent proteolytic enzymes, play a pivotal role in regulating the ECM in both physiological and pathological conditions. These enzymes are crucial in the invasive and infiltrative growth of many malignant tumors, including their metastasis to distant tissues and organs [95]. MMPs accomplish this through three primary mechanisms: hydrolyzing the ECM surrounding tumor cells to break down the physical barrier; enhancing the adhesive forces between tumor cells and their surroundings to promote infiltrative growth; and interacting with ECM components to activate or stimulate other bioactive molecules that further facilitate tumor invasion [96]. Among MMPs, MMP‐14 has been notably upregulated in IPAs compared to noninvasive counterparts. Specifically, targeted silencing of MMP‐14 in TtT/GF PA cells significantly hindered cell migration, indicating its involvement in cavernous sinus invasion in PAs [97]. Therefore, MMP‐14 emerges as a potential diagnostic and therapeutic target for IPAs. Furthermore, IPAs exhibited increased MMP‐8 expression at both protein and mRNA levels, accompanied by decreased TIMP‐1 expression [98]. Correspondingly, patients with invasive adenomas had elevated serum MMP‐8 levels and lower TIMP‐1 levels [98], suggesting that these molecules serve as valuable markers for assessing IPA invasion. MMP‐9, another MMP family member, presents as a promising target for suppressing tumor immune evasion in PAs. Higher levels of MMP‐9 mRNA and protein have been observed in PAs compared to healthy tissues, where it facilitates the cleavage of MICA into soluble MICA, ultimately promoting tumor immune escape [99]. Furthermore, the MMP‐9 (−1562) C/C genotype plays a significant role not only in nonrecurrence, inactive, and invasive but also in the development of noninvasive PAs [100].

E‐cadherin, encoded by the CDH1 gene, is a fundamental component of adherens junctions, essential for maintaining cell adhesion and epithelial cell identity. Its homophilic binding between cells is critical in mediating contact inhibition of proliferation, ensuring that cell growth is restrained once cells reach confluence. Loss of E‐cadherin expression disrupts this inhibition, enhancing cellular motility and frequently correlating with more aggressive cancer stages [101]. In pituitary tumors, a notable reduction in E‐cadherin expression has been observed in GH‐PAs compared to PRL‐PAs, as well as in IPAs and clinically recurrent PAs [102]. This downregulation is significantly associated with tumor subtype, invasiveness, and postoperative recurrence. Specifically, E‐cadherin expression was diminished in invasive NFPAs compared to their noninvasive counterparts, and its level negatively correlates with the Knosp classification, further emphasizing its link to invasiveness [103]. A similar trend has been observed in ACTH‐PAs, where decreased nuclear E‐cadherin expression and CDH1 mRNA levels have been correlated with disease progression [104]. However, there remains some controversy in the literature, as one study found no direct relationship between E‐cadherin and invasiveness in NFPAs [105]. Additionally, a recent retrospective analysis of adult patients with ACTH‐PAs failed to uncover a significant correlation between E‐cadherin expression and tumor subtype, size, or prognosis [106].

6. Pharmacological Treatment Strategies for IPAs

The surgical objectives for PAs encompass tumor removal, alleviation of compression on adjacent anatomical structures, restoration of normal endocrine function, and prevention of recurrence. The extent of tumor resection achieved and the subsequent postoperative adjuvant therapies administered have a direct and profound impact on the therapeutic outcomes of IPAs. However, achieving complete surgical resection of IPAs is exceedingly challenging, and these tumors are associated with a high rate of postoperative recurrence. Consequently, drug therapy and additional adjunctive measures are frequently necessitated to manage the disease, posing a significant hurdle within the realm of contemporary neurosurgery.

6.1. Pharmacological Management of Invasive PRL‐PAs

Dopamine agonists (DAs) are the primary therapeutic drugs employed in the management of PAs, particularly PRL‐PAs. Traditionally, bromocriptine and cabergoline have been at the forefront of DA therapy for PRL‐PAs, with surgery often considered a secondary treatment option [107]. The mechanism underlying the efficacy of DAs involves their binding to specific dopamine type 2 receptors (D2) located on the cell membrane. This interaction inhibits PRL synthesis and secretion at the level of gene transcription, halts cell proliferation, and leads to cellular atrophy. In the context of PRL‐PAs treatment, DA therapy can result in the normalization of PRL levels, reduction in tumor volume, alleviation of galactorrhea symptoms, and even restoration of gonadal and fertility functions [108]. Furthermore, even when PRL‐PAs compress the optic chiasm, causing visual disturbances, DA treatment can effectively reduce tumor size, often meeting the patient's daily visual function requirements [109].

6.2. Pharmacological Treatment of Invasive GH‐PAs

Among functional PAs, the incidence of GH‐PAs ranks second only to PRL‐PAs. Notably, patients with high GH secretion exhibit a mortality rate several times higher than those with normal GH levels. While surgical resection of GH microadenomas can achieve a cure rate exceeding 80%, the effective control rate for invasive GH‐PAs through surgery alone is only approximately 30% [110]. Moreover, the long‐term surgical remission rate for GH‐PAs is notably lower than the initial “early” remission rates and heavily depends on the completeness of tumor resection [111]. Consequently, while surgery remains the preferred treatment option for GH‐PAs, it is prudent not to rely solely on surgical methods for invasive GH‐PAs, necessitating the combination of chemotherapy or radiotherapy. The objective of pharmacological therapy is to alleviate tumor compression symptoms, ameliorate symptoms arising from abnormal hormone secretion, and restore normal hormone levels in patients. Octreotide, a representative drug and a derivative of somatostatin, is primarily utilized in the treatment of GH‐PAs [112]. It effectively inhibits GH synthesis and secretion, suppresses tumor growth, and promotes tumor softening and size reduction before surgery, thereby facilitating surgical procedures and postoperative adjuvant therapy, as well as managing postsurgical hypersecretion of GH [112]. Studies have shown that octreotide normalized GH levels in two‐thirds of acromegaly patients and achieves significant tumor shrinkage [113].

6.3. Pharmacological Management of Invasive ACTH‐PAs

ACTH‐PAs constitute approximately 5%−10% of all functional PAs. Surgical resection of ACTH microadenomas can yield remission rates ranging from 60% to 90%, but tumor recurrence can compromise the effectiveness of surgery, with even lower success rates observed in invasive ACTH adenomas [114]. Currently, the pharmacological treatment for ACTH adenomas is primarily indicated for patients who do not respond to surgery, experience recurrence, or are unable to undergo surgical procedures. Drugs specifically targeting ACTH‐PAs have demonstrated efficacy, including cabergoline, a dopamine receptor type 2 agonist, and pasireotide, a somatostatin analog with multiple‐receptor activity [115]. Steroidogenesis inhibitors, like ketoconazole and metyrapone, provide rapid and sustained control for Cushing's disease caused by ACTH‐PAs [116]. Ketoconazole is particularly suitable for female patients and those without severe liver impairment, while levoketoconazole may offer a more potent alternative with reduced hepatotoxicity. Metyrapone is preferred for male patients and those without severe hypokalemia. Osilodrostat is ideal for long‐term treatment and patients with poor compliance. These steroidogenesis inhibitors can be administered alone or in combination with pituitary‐targeting drugs to enhance efficacy, reduce dosage requirements, and potentially minimize adverse event rates.

6.4. Pharmacological Treatment of Invasive GN‐PAs

The research landscape for drug‐based treatment of GN‐PAs remains largely exploratory. While several drug classes, such as DAs, somatostatin receptor ligands, and a GH receptor antagonist, show promise in altering the morphological features of GN‐PAs, their overall therapeutic effect is constrained [117]. In contrast to the pronounced efficacy seen in PRL‐PAs treated with DAs, a notable reduction in cell size is not a typical outcome in GH adenomas treated with DAs or somatostatin receptor ligands. Instead, the most prevalent changes involve varying degrees of perivascular and interstitial fibrosis [118]. Furthermore, at the ultrastructural level, there is an enlargement of secretory granules and the presence of enlarged, heterogeneous lysosomes that are actively engaged in the uptake of these granules. These alterations are believed to stem from the inhibition of hormone release.

6.5. Pharmacological Management of Invasive TSH‐PAs

Invasive TSH‐PAs are an uncommon occurrence in clinical settings, comprising roughly 1% of all PAs [119]. The gold standard for definitive treatment remains transsphenoidal surgery. Traditionally, radiation therapy was reserved as a secondary option for patients with residual or recurrent tumors following surgery. However, with the advent of somatostatin analogs, which possess the ability to normalize thyroid function and shrink tumors, medical therapy has gained significant traction for those who fail to achieve remission after pituitary surgery [120]. Additionally, DAs have shown moderate success in managing TSH‐PAs [121]. In cases where surgical intervention is unsuccessful, somatostatin analogs have proven effective in normalizing TSH secretion in over 90% of patients and reducing tumor size in more than 40% of patients, making them a valuable therapeutic option [122].

6.6. Chemotherapeutic Approaches for IPAs

Temozolomide (TMZ) exerts its antitumor effects primarily by inducing base mismatches during DNA replication, ultimately leading to tumor cell apoptosis. Additionally, TMZ's unique ability to readily cross the blood–brain barrier, inhibit tumor cell growth throughout the cell cycle, and demonstrate broad‐spectrum antitumor activity makes it a valuable therapeutic option [123]. Consequently, it is not only the first‐line chemotherapy drug for malignant gliomas but also holds significant promise for the treatment of IPAs [124]. TMZ can be administered to three specific patient populations: PRL‐PA patients who are unresponsive to bromocriptine or cabergoline or have experienced recurrence following surgery and radiation therapy; ACTH‐PA patients who have failed surgical and radiation treatments, particularly those with Crooke's cell adenomas and Nelson's syndrome; and NFPA patients who have experienced regrowth or recurrence after multiple surgeries and radiation treatments [124]. However, the long‐term efficacy of TMZ and the potential for stabilization after discontinuation remain unclear. While TMZ has paved a new avenue for treating IPAs, particularly those resistant to surgery, radiation, and conventional therapies, it is generally regarded as a salvage treatment for refractory pituitary tumors and carcinomas globally. There is a notable lack of large‐scale randomized controlled trials and long‐term follow‐up studies evaluating the effectiveness of TMZ. Furthermore, it is important to acknowledge that, despite its low incidence, chemical meningitis is a unique complication associated with TMZ treatment for IPAs [125]. For instance, during chemotherapy, certain medications can either stimulate or exert toxic effects on the meninges, eliciting an inflammatory response. This, in turn, can lead to the development of chemical meningitis, a condition characterized by a range of symptoms including persistent headaches, meningeal irritation signs, fever, nausea, vomiting, and potential neurological dysfunction [126]. The onset of these symptoms is a direct consequence of the medication's interaction with the meninges, highlighting the need for careful monitoring and management during chemotherapy treatment.

6.7. Molecularly Targeted Therapies for IPAs

Several novel targeted therapeutic drugs have emerged, including the mammalian target of rapamycin (mTOR) inhibitors, EGF receptor (EGFR) inhibitors, and drugs that target VEGF. Research has shown that the mTOR pathway is activated in PRL‐PAs, and in vitro studies have demonstrated the antiproliferative effects of everolimus, an mTOR inhibitor, suggesting its potential as a novel therapeutic approach for aggressive PRL‐PAs that do not respond to standard treatments [127]. Previous investigations into EGF and its receptor have fueled the study of tyrosine kinase inhibitors, particularly EGFR inhibitors like gefitinib. These targeted therapeutic drugs have shown promise in in vitro experiments on invasive ACTH‐PAs [128]. In a case study, Ortiz et al. [129] reported the long‐term control of an invasive ACTH‐PA after 26 months of treatment with the anti‐VEGF drug bevacizumab. Furthermore, a Phase I clinical trial explored the feasibility and safety of implanting Gliadel wafers, a slow‐release drug delivery system containing the chemotherapy agent carmustine, into the sella turcica of a select group of patients with aggressive PAs [130]. This approach aims to deliver high concentrations of carmustine directly to the tumor site, minimizing systemic exposure and potential side effects [130]. While molecular targeted therapy offers new avenues for addressing the challenge of treating IPAs with conventional drugs that are typically used for noninvasive PAs, the safety and efficacy of these studies have yet to be confirmed by extensive clinical trials.

6.8. Tumor Immunity in IPAs

The phenotype of unfavorable PAs is influenced not only by the intrinsic behavior of tumor cells but also by the immune cells infiltrating the TME [131]. Two key immune‐inhibitory checkpoints targeted in the TME are cytotoxic T‐lymphocyte antigen 4 (CTLA‐4) and programmed cell death protein 1 (PD‐1) (Table 4 [132, 133]). Notably, anti‐CTLA‐4 therapy has been the first immunotherapy approved to show survival benefits for patients with metastatic melanoma [134]. Enhancing our understanding of the immune characteristics within the TME and developing novel classifications based on distinct immune traits can offer insights into the mechanisms underlying varied immunotherapy responses and serve as a foundation for future targeted research endeavors [135]. Investigations into intratumoral T‐cell infiltration and the expression of programmed death‐ligand 1 (PD‐L1) in PAs have been conducted in several studies. PD‐L1 was frequently expressed in functioning PAs with the association of aggressive behaviors in PAs [131]. The majority of PAs consist of macrophages and T cells, with each subtype exhibiting a unique immune infiltration pattern [136]. CD68+ and CD8+ immune cells have been identified as factors correlated with the growth characteristics of somatotroph tumors and their responsiveness to first‐generation somatostatin analogs, suggesting that lymphocytes and macrophages form an immune network within somatotropinomas, and the features of the immune infiltrate have the potential to forecast treatment outcomes [137]. Also, a reduced number of CD8 + T cells are associated with both cavernous sinus invasion and treatment resistance in PAs [138]. Despite the above studies providing an initial glimpse into the distribution of tumor‐infiltrating immune cells (TIICs) in PAs, the comprehension of the immune profile in PAs remains limited, and the clinical significance of these immune patterns has yet to be fully explored. A recent study has revealed that the distributions of TIICs vary between PAs and normal pituitaries. Also, among different subtypes of PAs, T cells constitute the dominant component of the immune microenvironment across all PA subtypes; the abundance of TIICs is correlated with tumor size and patient age, while mutations in USP8 in corticotroph adenomas have an impact on the intratumoral distribution of TIICs [139]. Based on the TIIC distribution, three immune clusters have also been distinguished among PAs [139]. These findings lay the groundwork for deeper immune research on IPAs and offer fresh perspectives on potential immunotherapy approaches for treating IPAs.

Table 4.

The key immune checkpoint molecules and their main functions in IPAs.

Immune checkpoint molecules Functions Diseases
CTLA‐4 Overexpression of CTLA‐4 may inhibit the activity of antitumor T cells, thereby suppressing tumor immune response.

ACTH‐PAs

PRL‐PAs

PD‐1 Overexpression of PD‐1 may lead to suppression of antitumor T‐cell function, thereby limiting the tumor immune response.

Cushing's disease

ACTH‐PAs

PRL‐PAs

PD‐L1 Binding of PD‐L1 to PD‐1 reduces the recognition and killing ability of T cells toward tumor cells, enabling immune evasion.

Cushing's disease

ACTH‐PAs

PRL‐PAs

7. Conclusion

Despite their benign nature, IPAs exhibit malignant biological traits, such as invading adjacent tissues, displaying invasive growth patterns, having low rates of complete surgical resection, experiencing high recurrence rates, and often requiring postoperative radiotherapy or drug therapy. Investigations into the invasiveness of PAs have uncovered a range of biological markers intimately linked to tumor initiation and progression. These markers not only shed light on the proliferation, invasion, and metastasis behaviors of PA cells but also present novel avenues for PA diagnosis and treatment. In diagnosing IPAs, two key aspects must be concurrently evaluated: the tumor's invasive growth pattern, discernible through preoperative imaging, intraoperative assessment, and postoperative pathological examination; and the tumor's invasive growth behavior, assessable via molecular biology, immunohistochemical studies, and recurrence patterns. Given the absence of a universally accepted international definition for IPAs, a comprehensive grading system that assigns varying weights to these factors and correlates them with clinical prognosis would be invaluable in guiding IPA treatment strategies. Surgical intervention remains the primary treatment modality for various IPA types, with drug therapy serving as a secondary option when surgery fails to adequately address hypersecretion. However, the drugs currently employed in IPA treatment are primarily conventional therapies for noninvasive PAs, with limited clinical breakthroughs. While TMZ and molecular targeted therapies have shown promising research outcomes in IPA treatment, their efficacy and safety profiles necessitate further exploration and clarification.

As biotechnology progresses, research methodologies continually evolve, and novel theories emerge, clinicians and researchers gain an increasingly comprehensive and nuanced understanding of PA invasiveness. This deepened comprehension not only enhances the accuracy of PA imaging and pathological diagnosis but also underscores the predictive power of molecular markers in assessing patient prognosis, holding significant implications for optimizing treatment outcomes for patients with IPAs. Furthermore, these insights serve as vital targets for the burgeoning realm of PA gene therapy, paving the way for the development of innovative treatment strategies in the future.

Author Contributions

D.X. designed, wrote, and revised the manuscript. L.W. provided financial support. M.Z. retrieved literature and databases and revised and approved the manuscript.

Conflicts of Interest

The authors declare no conflicts of interest.

Acknowledgments

The authors have nothing to report. This work was supported by the Science and Technology Plan Project of the Natural Science Foundation of Gansu Province (Grant no. 21JR7RA356 to Maohua Zheng) and the Science and Technology Plan Project of Wuwei City (Grant no. WW24B01SF082 to Ling Wang).

Data Availability Statement

The authors have nothing to report.

References

  • 1. Ho K. K. Y., Kaiser U. B., Chanson P., et al., “Pituitary Adenoma or Neuroendocrine Tumour: The Need for an Integrated Prognostic Classification,” Nature Reviews Endocrinology 19, no. 11 (November 2023): 671–678. [DOI] [PubMed] [Google Scholar]
  • 2. Tritos N. A. and Miller K. K., “Diagnosis and Management of Pituitary Adenomas: A Review,” Journal of the American Medical Association 329, no. 16 (April 2023): 1386–1398. [DOI] [PubMed] [Google Scholar]
  • 3. Penn D. L., Burke W. T., and Laws E. R., “Management of Non‐Functioning Pituitary Adenomas: Surgery,” Pituitary 21, no. 2 (April 2018): 145–153. [DOI] [PubMed] [Google Scholar]
  • 4. Trouillas J., Jaffrain‐Rea M. L., Vasiljevic A., Raverot G., Roncaroli F., and Villa C., “How to Classify Pituitary Neuroendocrine Tumors (PitNET)s in 2020,” Cancers 12, no. 2 (February 2020): 514. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Raverot G., Ilie M. D., Lasolle H., et al., “Aggressive Pituitary Tumours and Pituitary Carcinomas,” Nature Reviews Endocrinology 17, no. 11 (November 2021): 671–684. [DOI] [PubMed] [Google Scholar]
  • 6. Tang O. Y., Hsueh W. D., Eloy J. A., and Liu J. K., “Giant Pituitary Adenoma—Special Considerations,” Otolaryngologic Clinics of North America 55, no. 2 (April 2022): 351–379. [DOI] [PubMed] [Google Scholar]
  • 7. Di Ieva A., Rotondo F., Syro L. V., Cusimano M. D., and Kovacs K., “Aggressive Pituitary Adenomas: Diagnosis and Emerging Treatments,” Nature Reviews Endocrinology 10, no. 7 (July 2014): 423–435. [DOI] [PubMed] [Google Scholar]
  • 8. Almutairi R. D., Muskens I. S., Cote D. J., et al., “Gross Total Resection of Pituitary Adenomas After Endoscopic vs. Microscopic Transsphenoidal Surgery: A Meta‐Analysis,” Acta Neurochirurgica 160, no. 5 (May 2018): 1005–1021. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. González‐Virla B., Vargas‐Ortega G., and Romero‐Gameros C. A., “Radiotherapy and Mortality in Pituitary Adenomas,” Archives of Medical Research 54, no. 8 (December 2023): 102900. [DOI] [PubMed] [Google Scholar]
  • 10. Maghathe T., Miller W. K., Mugge L., Mansour T. R., and Schroeder J., “Immunotherapy and Potential Molecular Targets for the Treatment of Pituitary Adenomas Resistant to Standard Therapy: A Critical Review of Potential Therapeutic Targets and Current Developments,” Journal of Neurosurgical Sciences 64, no. 1 (February 2020): 71–83. [DOI] [PubMed] [Google Scholar]
  • 11. Jin M. Z. and Jin W. L., “The Updated Landscape of Tumor Microenvironment and Drug Repurposing,” Signal Transduction and Targeted Therapy 5, no. 1 (August 2020): 166. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12. Mao X., Xu J., Wang W., et al., “Crosstalk Between Cancer‐Associated Fibroblasts and Immune Cells in the Tumor Microenvironment: New Findings and Future Perspectives,” Molecular Cancer 20, no. 1 (October 2021): 131. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13. Bonneville J. F., Potorac J., and Beckers A., “Neuroimaging of Aggressive Pituitary Tumors,” Reviews in Endocrine and Metabolic Disorders 21, no. 2 (June 2020): 235–242. [DOI] [PubMed] [Google Scholar]
  • 14. Patel V., Liu C. S. J., Shiroishi M. S., et al., “Ultra‐High Field Magnetic Resonance Imaging for Localization of Corticotropin‐Secreting Pituitary Adenomas,” Neuroradiology 62, no. 8 (August 2020): 1051–1054. [DOI] [PubMed] [Google Scholar]
  • 15. Gruppetta M., “A Current Perspective of Pituitary Adenoma MRI Characteristics: A Review,” Expert Review of Endocrinology & Metabolism 17, no. 6 (November 2022): 499–511. [DOI] [PubMed] [Google Scholar]
  • 16. Zhang C., Heng X., Neng W., et al., “Prediction of High Infiltration Levels in Pituitary Adenoma Using MRI‐Based Radiomics and Machine Learning,” Chinese Neurosurgical Journal 8, no. 1 (August 2022): 21. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17. Bidari‐Zerehpoosh F., Sharifi G., Novin K., and Mortazavi N., “Invasive Growth Hormone Producing Pituitary Adenoma With Lymphocytic Infiltration: A Case Report and Literature Review,” Iranian Journal of Cancer Prevention 8, no. 6 (December 2015): e3504. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Inomoto C., Tahara S., Oyama K., et al., “Molecular, Functional, and Histopathological Classification of the Pituitary Neuroendocrine Neoplasms,” Brain Tumor Pathology 38, no. 3 (July 2021): 183–188. [DOI] [PubMed] [Google Scholar]
  • 19. Briet C., Salenave S., Bonneville J. F., Laws E. R., and Chanson P., “Pituitary Apoplexy,” Endocrine Reviews 36, no. 6 (December 2015): 622–645. [DOI] [PubMed] [Google Scholar]
  • 20. Moscona‐Nissan A., Sidauy‐Adissi J., Hermoso‐Mier K. X., et al., “Diagnosis and Treatment of Pituitary Apoplexy, A True Endocrine Emergency,” Archives of Medical Research 55, no. 4 (June 2024): 103001. [DOI] [PubMed] [Google Scholar]
  • 21. Butenschoen V. M., Schwendinger N., von Werder A., et al., “Visual Acuity and Its Postoperative Outcome After Transsphenoidal Adenoma Resection,” Neurosurgical Review 44, no. 4 (August 2021): 2245–2251. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22. Thomas R., Shenoy K., Seshadri M. S., Muliyil J., Rao A., and Paul P., “Visual Field Defects in Non‐Functioning Pituitary Adenomas,” Indian Journal of Ophthalmology 50, no. 2 (June 2002): 127–130. [PubMed] [Google Scholar]
  • 23. Lilja Y., Gustafsson O., Ljungberg M., et al., “Visual Pathway Impairment by Pituitary Adenomas: Quantitative Diagnostics by Diffusion Tensor Imaging,” Journal of Neurosurgery 127, no. 3 (September 2017): 569–579. [DOI] [PubMed] [Google Scholar]
  • 24. Chevalier B., Jannin A., Espiard S., et al., “Pituitary Adenoma and Nuclear Medicine: Recent Outcomes and Ongoing Developments,” Presse Medicale (Paris, France: 1983) 51, no. 2 (June 2022): 104144. [DOI] [PubMed] [Google Scholar]
  • 25. Sharifi G., Sabahi M., Amin A., et al., “Patterns of Extrasellar Invasive Growth of Pituitary Adenomas With Normal Sellar Cavity Size,” Clinical Neurology and Neurosurgery 209 (October 2021): 106942. [DOI] [PubMed] [Google Scholar]
  • 26. Micko A. S. G., Wöhrer A., Wolfsberger S., and Knosp E., “Invasion of the Cavernous Sinus Space in Pituitary Adenomas: Endoscopic Verification and Its Correlation With an MRI‐Based Classification,” Journal of Neurosurgery 122, no. 4 (April 2015): 803–811. [DOI] [PubMed] [Google Scholar]
  • 27. Fang Y., Pei Z., Chen H., et al., “Diagnostic Value of Knosp Grade and Modified Knosp Grade for Cavernous Sinus Invasion in Pituitary Adenomas: A Systematic Review and Meta‐Analysis,” Pituitary 24, no. 3 (June 2021): 457–464. [DOI] [PubMed] [Google Scholar]
  • 28. Micko A., Oberndorfer J., Weninger W. J., et al., “Challenging Knosp High‐Grade Pituitary Adenomas,” Journal of Neurosurgery 132, no. 6 (May 2020): 1739–1746. [DOI] [PubMed] [Google Scholar]
  • 29. Araujo‐Castro M., Acitores Cancela A., Vior C., Pascual‐Corrales E., and Rodríguez Berrocal V., “Radiological Knosp, Revised‐Knosp, and Hardy‐Wilson Classifications for the Prediction of Surgical Outcomes in the Endoscopic Endonasal Surgery of Pituitary Adenomas: Study of 228 Cases,” Frontiers in Oncology 11 (January 2022): 807040. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30. Hu C., Ji H., Zhang S., Hao X., Shen B., and Su L., “Neuronavigation‐Guided Pure Endoscopic Endonasai Transsphenoidal Approach for Pituitary Adenomas,” Zhonghua Yi Xue Za Zhi 95, no. 5 (February 2015): 339–343. [PubMed] [Google Scholar]
  • 31. Shin S. S., Tormenti M. J., Paluzzi A., et al., “Endoscopic Endonasal Approach for Growth Hormone Secreting Pituitary Adenomas: Outcomes in 53 Patients Using 2010 Consensus Criteria for Remission,” Pituitary 16, no. 4 (December 2013): 435–444. [DOI] [PubMed] [Google Scholar]
  • 32. Lim C. T. and Korbonits M. K., “Update on the Clinicopathology of Pituitary Adenomas,” Endocrine Practice 24, no. 5 (May 2018): 473–488. [DOI] [PubMed] [Google Scholar]
  • 33. Wan X., Chen J., Wang J., Liu Y., Shu K., and Lei T., “Overview of the 2022 WHO Classification of Pituitary Adenomas/Pituitary Neuroendocrine Tumors: Clinical Practices, Controversies, and Perspectives,” Current Medical Science 42, no. 6 (December 2022): 1111–1118. [DOI] [PubMed] [Google Scholar]
  • 34. Kelley K. D. and Aronowitz P., “Cancer,” Medical Clinics of North America 106, no. 3 (May 2022): 411–422. [DOI] [PubMed] [Google Scholar]
  • 35. Kovacs K., Horvath E., and Vidal S., “Classification of Pituitary Adenomas,” Journal of Neuro‐Oncology 54, no. 2 (September 2001): 121–127. [DOI] [PubMed] [Google Scholar]
  • 36. Popescu M. N., Ionescu E., Iovănescu L. C., et al., “Clinical Aggression of Prolactinomas: Correlations With Invasion and Recurrence,” Romanian Journal of Morphology and Embryology = Revue Roumaine de Morphologie et Embryologie 54, no. 4 (2013): 1075–1080. [PubMed] [Google Scholar]
  • 37. Kim Y. H. and Kim J. H., “Transcriptome Analysis Identifies an Attenuated Local Immune Response in Invasive Nonfunctioning Pituitary Adenomas,” Endocrinology and Metabolism 34, no. 3 (September 2019): 314–322. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38. Vlotides G., Eigler T., and Melmed S., “Pituitary Tumor‐Transforming Gene: Physiology and Implications for Tumorigenesis,” Endocrine Reviews 28, no. 2 (April 2007): 165–186. [DOI] [PubMed] [Google Scholar]
  • 39. Fuertes M., Sapochnik M., Tedesco L., et al., “Protein Stabilization by RSUME Accounts for PTTG Pituitary Tumor Abundance and Oncogenicity,” Endocrine‐Related Cancer 25, no. 6 (June 2018): 665–676. [DOI] [PubMed] [Google Scholar]
  • 40. Lu L., Wan X., Xu Y., Chen J., Shu K., and Lei T., “Prognostic Factors for Recurrence in Pituitary Adenomas: Recent Progress and Future Directions,” Diagnostics 12, no. 4 (April 2022): 977. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41. Li Y., Zhou L. P., Ma P., et al., “Relationship of PTTG Expression With Tumor Invasiveness and Microvessel Density of Pituitary Adenomas: A Meta‐Analysis,” Genetic Testing and Molecular Biomarkers 18, no. 4 (April 2014): 279–285. [DOI] [PubMed] [Google Scholar]
  • 42. Kaloni D., Diepstraten S. T., Strasser A., and Kelly G. L., “BCL‐2 Protein Family: Attractive Targets for Cancer Therapy,” Apoptosis 28, no. 1–2 (February 2023): 20–38. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43. Huang C. X., Hou Y. H., and Liu Y. S., “Expression of Galectin‐3 Correlates With Apoptosis in Pituitary Adenoma Cells,” Neuroscience Bulletin 24, no. 1 (February 2008): 34–38. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44. Ozer E., Canda M. S., Ulukus C., Guray M., and Erbayraktar S., “Expression of Bcl‐2, Bax and p53 Proteins in Pituitary Adenomas: An Immunohistochemical Study,” Tumori Journal 89, no. 1 (January/February 2003): 54–59. [DOI] [PubMed] [Google Scholar]
  • 45. Tatsi C. and Stratakis C. A., “The Genetics of Pituitary Adenomas,” Journal of Clinical Medicine 9, no. 1 (December 2019): 30. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46. Hayward B. E., Barlier A., Korbonits M., et al., “Imprinting of the Gsα Gene GNAS1 in the Pathogenesis of Acromegaly,” Journal of Clinical Investigation 107, no. 6 (March 2001): R31–R36. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47. Jung H., Kim K., Kim D., et al., “Associations of GNAS Mutations With Surgical Outcomes in Patients With Growth Hormone‐Secreting Pituitary Adenoma,” Endocrinology and Metabolism 36, no. 2 (April 2021): 342–350. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48. Treppiedi D., Barbieri A. M., Di Muro G., et al., “Genetic Profiling of a Cohort of Italian Patients With ACTH‐Secreting Pituitary Tumors and Characterization of a Novel USP8 Gene Variant,” Cancers 13, no. 16 (August 2021): 4022. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49. Reincke M., Sbiera S., Hayakawa A., et al., “Mutations in the Deubiquitinase Gene USP8 Cause Cushing's Disease,” Nature Genetics 47, no. 1 (January 2015): 31–38. [DOI] [PubMed] [Google Scholar]
  • 50. Hayashi K., Inoshita N., Kawaguchi K., et al., “The USP8 Mutational Status May Predict Drug Susceptibility in Corticotroph Adenomas of Cushing's Disease,” European Journal of Endocrinology 174, no. 2 (February 2016): 213–226. [DOI] [PubMed] [Google Scholar]
  • 51. Losa M., Mortini P., Pagnano A., Detomas M., Cassarino M. F., and Pecori Giraldi F., “Clinical Characteristics and Surgical Outcome in USP8‐Mutated Human Adrenocorticotropic Hormone‐Secreting Pituitary Adenomas,” Endocrine 63, no. 2 (February 2019): 240–246. [DOI] [PubMed] [Google Scholar]
  • 52. Jian F. F., Li Y. F., Chen Y. F., et al., “Inhibition of Ubiquitin‐Specific Peptidase 8 Suppresses Adrenocorticotropic Hormone Production and Tumorous Corticotroph Cell Growth in AtT20 Cells,” Chinese Medical Journal 129, no. 17 (September 2016): 2102–2108. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53. Torres‐Morán M., Franco‐Álvarez A. L., Rebollar‐Vega R. G., and Hernández‐Ramírez L. C., “Hotspots of Somatic Genetic Variation in Pituitary Neuroendocrine Tumors,” Cancers 15, no. 23 (December 2023): 5685. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54. Wang Z., Strasser A., and Kelly G. L., “Should Mutant TP53 be Targeted for Cancer Therapy?,” Cell Death & Differentiation 29, no. 5 (May 2022): 911–920. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55. Hasanov R., Aydoğan B. İ., Kiremitçi S., Erden E., and Güllü S., “The Prognostic Roles of the Ki‐67 Proliferation Index, P53 Expression, Mitotic Index, and Radiological Tumor Invasion in Pituitary Adenomas,” Endocrine Pathology 30, no. 1 (March 2019): 49–55. [DOI] [PubMed] [Google Scholar]
  • 56. Zhao L. and Sanyal S., “p53 Isoforms as Cancer Biomarkers and Therapeutic Targets,” Cancers 14, no. 13 (June 2022): 3145. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57. Perez‐Rivas L. G., Simon J., Albani A., et al., “TP53 Mutations in Functional Corticotroph Tumors Are Linked to Invasion and Worse Clinical Outcome,” Acta Neuropathologica Communications 10, no. 1 (September 2022): 139. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58. Pękul M., Szczepaniak M., Kober P., et al., “Relevance of Mutations in Protein Deubiquitinases Genes and TP53 in Corticotroph Pituitary Tumors,” Frontiers in Endocrinology 15 (February 2024): 1302667. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59. Lin A. L., Rudneva V. A., Richards A. L., et al., “Genome‐Wide Loss of Heterozygosity Predicts Aggressive, Treatment‐Refractory Behavior in Pituitary Neuroendocrine Tumors,” Acta Neuropathologica 147, no. 1 (May 2024): 85. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60. Álvarez‐Garcia V., Tawil Y., Wise H. M., and Leslie N. R., “Mechanisms of PTEN Loss in Cancer: It's All About Diversity,” Seminars in Cancer Biology 59 (December 2019): 66–79. [DOI] [PubMed] [Google Scholar]
  • 61. Sun S. W., Fang X. M., Li Y. F., Wang Q. B., and Li Y. X., “Expression and Clinical Significance of EGR‐1 and PTEN in the Pituitary Tumors of Elderly Patients,” Oncology Letters 14, no. 2 (August 2017): 2165–2169. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62. Zhang J., Li X., and Zhang Y., “Correlation of NEDD4‐1 and PTEN Expression With the Invasive Capacity of Pituitary Adenomas,” Molecular and Clinical Oncology 6, no. 1 (January 2017): 96–100. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63. Hauser B. M., Lau A., Gupta S., Bi W. L., and Dunn I. F., “The Epigenomics of Pituitary Adenoma,” Frontiers in Endocrinology 10 (May 2019): 290. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64. Wei Z. Q., Li Y., Li W. H., Lou J. C., and Zhang B., “Research Advances in Pituitary Adenoma and DNA Methylation,” Zhongguo Yi Xue ke Xue Yuan Xue Bao. Acta Academiae Medicinae Sinicae 38, no. 4 (August 2016): 475–479. [DOI] [PubMed] [Google Scholar]
  • 65. Wu W., Cao L., Jia Y., Xiao Y., Zhang X., and Gui S., “Emerging Roles of miRNA, lncRNA, circRNA, and Their Cross‐Talk in Pituitary Adenoma,” Cells 11, no. 18 (September 2022): 2920. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66. Lyu L., Li H., Chen C., et al., “Exosomal miRNA Profiling Is a Potential Screening Route for Non‐Functional Pituitary Adenoma,” Frontiers in Cell and Developmental Biology 9 (January 2022): 771354. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67. Zhang Q., Wang Y., Zhou Y., Zhang Q., and Xu C., “Potential Biomarkers of miRNA in Non‐Functional Pituitary Adenomas,” World Journal of Surgical Oncology 19, no. 1 (September 2021): 270. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68. He C., Yang J., Ding J., et al., “MiR‐448 Targets BLC2 and Inhibits the Growth of Pituitary Adenoma Cells,” Biochemistry and Cell Biology 98, no. 4 (August 2020): 511–517. [DOI] [PubMed] [Google Scholar]
  • 69. Zheng Z., Zhang Y., Zhang Z., Yang Y., and Song T., “Effect of miR‐106b on Invasiveness of Pituitary Adenoma via PTEN‐PI3K/AKT,” Medical Science Monitor 23 (March 2017): 1277–1285. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70. Du Q., Yao D., Wang Y., and Cheng C., “Research Progress on lncRNA Functions and Mechanisms in Pituitary Adenomas,” Hormone and Metabolic Research 52, no. 5 (May 2020): 280–288. [DOI] [PubMed] [Google Scholar]
  • 71. Wu H., Zhou S., Zheng Y., Pan Z., Chen Y., and Wang X., “LncRNA BBOX1‐AS1 Promotes Pituitary Adenoma Progression via Sponging miR‐361‐3p/E2F1 Axis,” Anti‐Cancer Drugs 33, no. 7 (August 2022): 652–662. [DOI] [PubMed] [Google Scholar]
  • 72. Mao D., Jie Y., and Lv Y., “LncRNA SNHG6 Induces Epithelial‐Mesenchymal Transition of Pituitary Adenoma via Suppressing MiR‐944,” Cancer Biotherapy and Radiopharmaceuticals 37, no. 4 (May 2022): 246–255. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73. Wang T., Mao P., Zhang Y., et al., “LncRNA MYMLR Promotes Pituitary Adenoma Development by Upregulating Carbonyl Reductase 1 via Sponging miR‐197‐3p,” Anti‐Cancer Drugs 33, no. 10 (November 2022): 1058–1068. [DOI] [PubMed] [Google Scholar]
  • 74. Li J., Qian Y., Zhang C., et al., “LncRNA LINC00473 Is Involved in the Progression of Invasive Pituitary Adenoma by Upregulating KMT5A via ceRNA‐Mediated miR‐502‐3p Evasion,” Cell Death & Disease 12, no. 6 (June 2021): 580. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75. Zhao L., Guo Y., Guo Y., et al., “Effect and Mechanism of circRNAs in Tumor Angiogenesis and Clinical Application,” International Journal of Cancer 150, no. 8 (April 2022): 1223–1232. [DOI] [PubMed] [Google Scholar]
  • 76. Zhang W., Chen S., Du Q., et al., “CircVPS13C Promotes Pituitary Adenoma Growth by Decreasing the Stability of IFITM1 mRNA via Interacting With RRBP1,” Oncogene 41, no. 11 (March 2022): 1550–1562. [DOI] [PubMed] [Google Scholar]
  • 77. Cheng J., Nie D., Li B., et al., “CircNFIX Promotes Progression of Pituitary Adenoma via CCNB1 by Sponging miR‐34a‐5p,” Molecular and Cellular Endocrinology 525 (April 2021): 111140. [DOI] [PubMed] [Google Scholar]
  • 78. Jiang Q., Lei Z., Wang Z., et al., “Tumor‐Associated Fibroblast‐Derived Exosomal circDennd1b Promotes Pituitary Adenoma Progression by Modulating the miR‐145‐5p/ONECUT2 Axis and Activating the MAPK Pathway,” Cancers 15, no. 13 (June 2023): 3375. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79. Hu Y., Zhang N., Zhang S., et al., “Differential Circular RNA Expression Profiles of Invasive and Non‐Invasive Non‐Functioning Pituitary Adenomas: A Microarray Analysis,” Medicine 98, no. 26 (June 2019): e16148. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 80. Yue X., Lan F., and Liu W., “CircDDX17 Inhibits Invasive Progression of Pituitary Adenomas by Sponging miR‐1279 and Regulating CADM2 Expression,” Frontiers in Oncology 13 (November 2023): 1268644. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81. Cohen A. B. and Lessell S., “Angiogenesis and Pituitary Tumors,” Seminars in Ophthalmology 24, no. 3 (May/June 2009): 185–189. [DOI] [PubMed] [Google Scholar]
  • 82. Lugano R., Ramachandran M., and Dimberg A., “Tumor Angiogenesis: Causes, Consequences, Challenges and Opportunities,” Cellular and Molecular Life Sciences 77, no. 9 (May 2020): 1745–1770. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83. Corlan A. S., Cîmpean A. M., Melnic E., Raica M., and Sarb S., “VEGF, VEGF165b and EG‐VEGF Expression Is Specifically Related With Hormone Profile in Pituitary Adenomas,” European Journal of Histochemistry 63, no. 1 (March 2019): 3010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84. Chen M., Duan L., Sun W., et al., “Clinical and Proteomic‐Based Molecular Characterizations of Invasive and Noninvasive Somatotroph PitNETs,” Neuroendocrinology 113, no. 9 (2023): 971–986. [DOI] [PubMed] [Google Scholar]
  • 85. Marques P., Barry S., Carlsen E., et al., “Pituitary Tumour Fibroblast‐Derived Cytokines Influence Tumour Aggressiveness,” Endocrine‐Related Cancer 26, no. 12 (December 2019): 853–865. [DOI] [PubMed] [Google Scholar]
  • 86. Nosé‐Alberti V., Mesquita M. I. S., Martin L. C., and Kayath M. J., “Adrenocorticotropin‐Producing Pituitary Carcinoma With Expression of c‐erbB‐2 and High PCNA Index: A Comparative Study With Pituitary Adenomas and Normal Pituitary Tissues,” Endocrine Pathology 9, no. 1 (Spring 1998): 53–62. [DOI] [PubMed] [Google Scholar]
  • 87. Saeger W., “Proliferation Markers and Cell Cycle Inhibitors in Pituitary Adenomas,” Frontiers of Hormone Research 32 (2004): 110–126. [DOI] [PubMed] [Google Scholar]
  • 88. Zhenye L., Chuzhong L., Youtu W., et al., “The Expression of TGF‐β1, Smad3, Phospho‐Smad3 and Smad7 Is Correlated With the Development and Invasion of Nonfunctioning Pituitary Adenomas,” Journal of Translational Medicine 12 (March 2014): 71. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89. Gu Y. and Feng Y., “Down‐Regulation of TGF‐β RII Expression Is Correlated With Tumor Growth and Invasion in Non‐Functioning Pituitary Adenomas,” Journal of Clinical Neuroscience 47 (January 2018): 264–268. [DOI] [PubMed] [Google Scholar]
  • 90. Saeger W., Lüdecke B., and Lüdecke D., “Clinical Tumor Growth and Comparison With Proliferation Markers in Non‐Functioning (Inactive) Pituitary Adenomas,” Experimental and Clinical Endocrinology & Diabetes 116, no. 2 (February 2008): 80–85. [DOI] [PubMed] [Google Scholar]
  • 91. La Rosa S., “Diagnostic, Prognostic, and Predictive Role of Ki67 Proliferative Index in Neuroendocrine and Endocrine Neoplasms: Past, Present, and Future,” Endocrine Pathology 34, no. 1 (March 2023): 79–97. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 92. Luo B., Ren H., Wang Y., et al., “Analysis of Risk Factors of Pituitary Neoplasms Invading the Sphenoidal Sinus,” Medicine 102, no. 32 (August 2023): e34767. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 93. Tomasik A., Stelmachowska‐Banaś M., Maksymowicz M., et al., “Pathologic Characteristics of Somatotroph Pituitary Tumors: An Observational Single‐Center Study,” Biomedicines 11, no. 12 (December 2023): 3315. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 94. Lenders N. F., Earls P. E., Wilkinson A. C., et al., “Predictors of Pituitary Tumour Behaviour: An Analysis From Long‐Term Follow‐Up in 2 Tertiary Centres,” European Journal of Endocrinology 189, no. 1 (July 2023): 106–114. [DOI] [PubMed] [Google Scholar]
  • 95. Niland S., Riscanevo A. X., and Eble J. A., “Matrix Metalloproteinases Shape the Tumor Microenvironment in Cancer Progression,” International Journal of Molecular Sciences 23, no. 1 (December 2021): 146. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 96. Castro‐Castro A., Marchesin V., Monteiro P., Lodillinsky C., Rossé C., and Chavrier P., “Cellular and Molecular Mechanisms of MT1‐MMP‐Dependent Cancer Cell Invasion,” Annual Review of Cell and Developmental Biology 32 (October 2016): 555–576. [DOI] [PubMed] [Google Scholar]
  • 97. Wang J., Voellger B., Benzel J., et al., “Metalloproteinases ADAM12 and MMP‐14 Are Associated With Cavernous Sinus Invasion in Pituitary Adenomas,” International Journal of Cancer 139, no. 6 (September 2016): 1327–1339. [DOI] [PubMed] [Google Scholar]
  • 98. Mao J. H., Guo H., Si N., et al., “Regulating Effect of MMP‐9 and TIMP‐1 in Pituitary Adenoma Invasion,” Genetics and Molecular Research 14, no. 4 (December 2015): 17091–17098. [DOI] [PubMed] [Google Scholar]
  • 99. Chen Z., Li Z., Chang Y., et al., “Relationship Between NF‐κB, MMP‐9, and MICA Expression in Pituitary Adenomas Reveals a New Mechanism of Pituitary Adenomas Immune Escape,” Neuroscience Letters 597 (June 2015): 77–83. [DOI] [PubMed] [Google Scholar]
  • 100. Glebauskiene B., Liutkeviciene R., Vilkeviciute A., et al., “Does MMP‐9 Gene Polymorphism Play a Role in Pituitary Adenoma Development?,” Disease Markers 2017 (2017): 5839528. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 101. Mendonsa A. M., Na T. Y., and Gumbiner B. M., “E‐Cadherin in Contact Inhibition and Cancer,” Oncogene 37, no. 35 (August 2018): 4769–4780. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 102. Zhou K., Jin H., and Luo Y., “Expression and Significance of E‐Cadherin and β‐Catenins in Pituitary Adenoma,” International Journal of Surgical Pathology 21, no. 4 (August 2013): 363–367. [DOI] [PubMed] [Google Scholar]
  • 103. Shen X., Liu Q., Xu J., and Wang Y., “Correlation Between the Expression of Interleukin‐6, STAT3, E‐Cadherin and N‐Cadherin Protein and Invasiveness in Nonfunctional Pituitary Adenomas,” supplement, Journal of Neurological Surgery. Part B, Skull Base 82, no. S3 (July 2021): 59. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 104. Evang J. A., Berg J. P., Casar‐Borota O., et al., “Reduced Levels of E‐Cadherin Correlate With Progression of Corticotroph Pituitary Tumours,” Clinical Endocrinology 75, no. 6 (December 2011): 811–818. [DOI] [PubMed] [Google Scholar]
  • 105. Ongaratti B. R., Haag T., D'Ávila M. F., et al., “Gene and Protein Expression of E‐Cadherin and NCAM Markers in Non‐Functioning Pituitary Adenomas,” Annals of Diagnostic Pathology 38 (February 2019): 59–61. [DOI] [PubMed] [Google Scholar]
  • 106. Kiseljak‐Vassiliades K., Lipe K., Turin C. G., et al., “E‐Cadherin Expression and Gene Expression Profiles in Corticotroph Pituitary Neuroendocrine Tumor Subtypes,” Journal of Neuropathology and Experimental Neurology 83, no. 7 (May 2024): 586–595. [DOI] [PubMed] [Google Scholar]
  • 107. Auriemma R. S., Pirchio R., Pivonello C., Garifalos F., Colao A., and Pivonello R., “Approach to the Patient With Prolactinoma,” Journal of Clinical Endocrinology & Metabolism 108, no. 9 (August 2023): 2400–2423. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 108. Inder W. J. and Jang C., “Treatment of Prolactinoma,” Medicina 58, no. 8 (August 2022): 1095. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 109. Shimon I., “Giant Prolactinomas,” Neuroendocrinology 109, no. 1 (2019): 51–56. [DOI] [PubMed] [Google Scholar]
  • 110. Donoho D. A., Bose N., Zada G., and Carmichael J. D., “Management of Aggressive Growth Hormone Secreting Pituitary Adenomas,” Pituitary 20, no. 1 (February 2017): 169–178. [DOI] [PubMed] [Google Scholar]
  • 111. Asha M. J., Takami H., Velasquez C., et al., “Long‐Term Outcomes of Transsphenoidal Surgery for Management of Growth Hormone‐Secreting Adenomas: Single‐Center Results,” Journal of Neurosurgery 133, no. 5 (October 2020): 1360–1370. [DOI] [PubMed] [Google Scholar]
  • 112. Caulley L., Krijkamp E., Doyle M. A., et al., “Cost‐Effectiveness of Direct Surgery Versus Preoperative Octreotide Therapy for Growth‐Hormone Secreting Pituitary Adenomas,” Pituitary 25, no. 6 (December 2022): 868–881. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 113. Racine M. S. and Barkan A. L., “Medical Management of Growth Hormone‐Secreting,” Pituitary 5, no. 2 (2002): 67–76. [DOI] [PubMed] [Google Scholar]
  • 114. Zhuang Z., Liu X., Bao X., et al., “Invasive ACTH‐Secreting Pituitary Macroadenoma in Remission After Transsphenoidal Resection: A Case Report and Literature Review,” Medicine 97, no. 46 (November 2018): e13148. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 115. Takayasu S., Kageyama K., and Daimon M., “Advances in Molecular Pathophysiology and Targeted Therapy for Cushing's Disease,” Cancers 15, no. 2 (January 2023): 496. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 116. Mallick S., Chakrabarti J., Eschbacher J., et al., “Genetically Engineered Human Pituitary Corticotroph Tumor Organoids Exhibit Divergent Responses to Glucocorticoid Receptor Modulators,” Translational Research 256 (June 2023): 56–72. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 117. Colao A., Grasso L. F. S., Giustina A., et al., “Acromegaly,” Nature Reviews Disease Primers 5, no. 1 (March 2019): 20. [DOI] [PubMed] [Google Scholar]
  • 118. Lopes M. B. S., “Growth Hormone‐Secreting Adenomas: Pathology and Cell Biology,” Neurosurgical Focus 29, no. 4 (October 2010): E2. [DOI] [PubMed] [Google Scholar]
  • 119. Molitch M. E., “Diagnosis and Treatment of Pituitary Adenomas: A Review,” Journal of the American Medical Association 317, no. 5 (February 2017): 516–524. [DOI] [PubMed] [Google Scholar]
  • 120. Briet C., Suteau V., Illouz F., and Rodien P., “Thyrotropin‐Secreting Tumor ‘TSH‐PitNET’: From Diagnosis to Treatment,” Annales d'endocrinologie 84, no. 4 (August 2023): 407–412. [DOI] [PubMed] [Google Scholar]
  • 121. Amlashi F. G. and Tritos N. A., “Thyrotropin‐Secreting Pituitary Adenomas: Epidemiology, Diagnosis, and Management,” Endocrine 52, no. 3 (June 2016): 427–440. [DOI] [PubMed] [Google Scholar]
  • 122. Beck‐Peccoz P., Lania A., Beckers A., Chatterjee K., and Wemeau J. L., “2013 European Thyroid Association Guidelines for the Diagnosis and Treatment of Thyrotropin‐Secreting Pituitary Tumors,” European Thyroid Journal 2, no. 2 (June 2013): 76–82. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 123. Hotchkiss K. M. and Sampson J. H., “Temozolomide Treatment Outcomes and Immunotherapy Efficacy in Brain Tumor,” Journal of Neuro‐Oncology 151, no. 1 (January 2021): 55–62. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 124. McCormack A., “Temozolomide in Aggressive Pituitary Tumours and Pituitary Carcinomas,” Best Practice & Research Clinical Endocrinology & Metabolism 36, no. 6 (December 2022): 101713. [DOI] [PubMed] [Google Scholar]
  • 125. Ueberschaer M., Katzendobler S., Biczok A., et al., “A Simple Surgical Technique for Sellar Closure After Transsphenoidal Resection of Pituitary Adenomas in the Context of Risk Factors for Cerebrospinal Fluid Leaks and Meningitis,” Neurosurgical Focus 53, no. 6 (December 2022): E7. [DOI] [PubMed] [Google Scholar]
  • 126. Holle D. and Obermann M., “Headache in Drug‐Induced Aseptic Meningitis,” Current Pain and Headache Reports 19, no. 7 (July 2015): 29. [DOI] [PubMed] [Google Scholar]
  • 127. Zhang D., Way J. S., Zhang X., et al., “Effect of Everolimus in Treatment of Aggressive Prolactin‐Secreting Pituitary Adenomas,” Journal of Clinical Endocrinology & Metabolism 104, no. 6 (June 2019): 1929–1936. [DOI] [PubMed] [Google Scholar]
  • 128. Ben‐Shlomo A. and Cooper O., “Role of Tyrosine Kinase Inhibitors in the Treatment of Pituitary Tumours: From Bench to Bedside,” Current Opinion in Endocrinology, Diabetes & Obesity 24, no. 4 (August 2017): 301–305. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 129. Ortiz L. D., Syro L. V., Scheithauer B. W., et al., “Anti‐VEGF Therapy in Pituitary Carcinoma,” Pituitary 15, no. 3 (September 2012): 445–449. [DOI] [PubMed] [Google Scholar]
  • 130. Laws E. R., Morris A. M., and Maartens N., “Gliadel for Pituitary Adenomas and Craniopharyngiomas,” Neurosurgery 53, no. 2 (August 2003): 255–260; Discussion 259‐60. [DOI] [PubMed] [Google Scholar]
  • 131. Wang P., Wang T., Yang Y., et al., “The Expression Profile of PD‐L1 and CD8(+) Lymphocyte in Pituitary Adenomas Indicating for Immunotherapy,” Journal of Neuro‐Oncology 139, no. 1 (August 2018): 89–95. [DOI] [PubMed] [Google Scholar]
  • 132. Ribas A. and Wolchok J. D., “Cancer Immunotherapy Using Checkpoint Blockade,” Science 359, no. 6382 (March 2018): 1350–1355. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 133. Toader C., Dobrin N., Tataru C. I., et al., “From Genes to Therapy: Pituitary Adenomas in the Era of Precision Medicine,” Biomedicines 12, no. 1 (December 2023): 23. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 134. Van Allen E. M., Miao D., Schilling B., et al., “Genomic Correlates of Response to CTLA‐4 Blockade in Metastatic Melanoma,” Science 350, no. 6257 (October 2015): 207–211. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 135. Duan J., Wang Y., and Jiao S., “Checkpoint Blockade‐Based Immunotherapy in the Context of Tumor Microenvironment: Opportunities and Challenges,” Cancer Medicine 7, no. 9 (September 2018): 4517–4529. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 136. Yeung J. T., Vesely M. D., and Miyagishima D. F., “In Silico Analysis of the Immunological Landscape of Pituitary Adenomas,” Journal of Neuro‐Oncology 147, no. 3 (May 2020): 595–598. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 137. Chiloiro S., Giampietro A., Gessi M., et al., “CD68+ and CD8+ Immune Cells Are Associated With the Growth Pattern of Somatotroph Tumors and Response to First Generation Somatostatin Analogs,” Journal of Neuroendocrinology 35, no. 4 (April 2023): e13263. [DOI] [PubMed] [Google Scholar]
  • 138. Iacovazzo D., Chiloiro S., Carlsen E., et al., “Tumour‐Infiltrating Cytotoxic T Lymphocytes in Somatotroph Pituitary Neuroendocrine Tumours,” Endocrine 67, no. 3 (March 2020): 651–658. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 139. Wang Z., Guo X., Gao L., et al., “The Immune Profile of Pituitary Adenomas and a Novel Immune Classification for Predicting Immunotherapy Responsiveness,” Journal of Clinical Endocrinology & Metabolism 105, no. 9 (September 2020): e3207–e3223. [DOI] [PMC free article] [PubMed] [Google Scholar]

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