Distinct Biological Features Research Articles

Recent Advances in the Synthesis of Acyclic Nucleosides and Their Therapeutic Applications.

DNA is commonly known as the "molecule of life" because it holds the genetic instructions for all living organisms on Earth. The utilization of modified nucleosides holds the potential to transform the management of a wide range of human illnesses. Modified nucleosides and their role directly led to the 2023 Nobel prize. Acyclic nucleosides, due to their distinctive physiochemical and biological characteristics, rank among the most adaptable modified nucleosides in the field of medicinal chemistry. Acyclic nucleosides are more resistant to chemical and biological deterioration, and their adaptable acyclic structure makes it possible for them to interact with various enzymes. A phosphonate group, which is linked via an aliphatic functionality to a purine or a pyrimidine base, distinguishes acyclic nucleoside phosphonates (ANPs) from other nucleotide analogs. Acyclic nucleosides and their derivatives have demonstrated various biological activities such as anti-viral, anti-bacterial, anti-cancer, anti-microbial, etc. Ganciclovir, Famciclovir, and Penciclovir are the acyclic nucleoside-based drugs approved by FDA for the treatment of various diseases. Thus, acyclic nucleosides are extremely useful for generating a variety of unique bioactive chemicals. Their biological activities as well as selectivity is significantly influenced by the stereochemistry of the acyclic nucleosides because chiral acyclic nucleosides have drawn a lot of interest due to their intriguing biological functions and potential as medicines. For example, tenofovir's (R) enantiomer is roughly 50 times more potent against HIV than its (S) counterpart. We can confidently state, "The most promising developments are yet to come in the realm of acyclic nucleosides!" Herein, we have covered the most current developments in the field of chemical synthesis and therapeutic applications of acyclic nucleosides based upon our continued interest and activity in this field since mid-1990's.

AML in the Elderly - When less may be more.

We herein assess the distinct biological and clinical features of AML in older patients. We emphasize the importance of pre-treatment assessment to individualize care but note the changing treatment paradigm from intensive towards non-intensive therapy. Geriatric assessments and genetic data provide predictive information that guides treatment. During the past decade the FDA approved at least nine new targeted therapies, mostly small molecule inhibitors, in AML patients of all ages. These agents have created novel therapeutic options for this poorly chemo tolerant population whose AML tends to be intrinsically resistant to such therapy. Older AML patients may now be treated with less toxic therapy that provides similar, if not superior, efficacy compared with conventional chemotherapy. Although TP53 mutant AML remains a particular unmet need, additional novel agents on the horizon provide hope for improving outcomes for older adults with AML.

Targeting Bcl-2 with Indole Scaffolds: Emerging Drug Design Strategies for Cancer Treatment.

The B-cell lymphoma-2 (Bcl-2) protein family plays a crucial role as a regulator in the process of apoptosis. There is a substantial body of evidence indicating that the upregulation of antiapoptotic Bcl-2 proteins is prevalent in several cancer cell lines and original tumour tissue samples. This phenomenon plays a crucial role in enabling tumour cells to avoid apoptosis, hence facilitating the development of resistant cells against chemotherapy. Therefore, the success rate of chemotherapy for cancer can be enhanced by the down-regulation of anti-apoptotic Bcl-2 proteins. Furthermore, the indole structural design is commonly found in a variety of natural substances and biologically active compounds, particularly those that possess anti-cancer properties. Due to its distinctive physicochemical and biological characteristics, it has been highly regarded as a fundamental framework in the development and production of anti-cancer drugs. As a result, a considerable range of indole derivatives, encompassing both naturally occurring and developed compounds, have been identified as potential candidates for the treatment of cancer. Several of these derivatives have advanced to clinical trials, while others are already being used in clinical settings. This emphasizes the significant role of indole in the field of research and development of anti-cancer therapeutics. This study provides an overview of apoptosis and the structural characteristics of Bcl-2 family proteins, and mainly examines the present stage and recent developments in Bcl-2 inhibitors with an indole scaffold embedded in their structure.

P3.06F.01 Proteomic Profiling Reveals Distinct Biological Characteristics of EGFR L858R Mutation and a Prognostic Model in Lung Adenocarcinoma

P3.06F.01 Proteomic Profiling Reveals Distinct Biological Characteristics of EGFR L858R Mutation and a Prognostic Model in Lung Adenocarcinoma

Bioanalysis of antisense oligonucleotides: Techniques, challenges, regulatory considerations, and future perspectives

Antisense oligonucleotides (ASOs) are a powerful class of therapeutics designed to target RNA sequences and regulate gene expression, offering promising treatment avenues for various genetic disorders, neurodegenerative diseases, cancers, and viral infections. The bioanalysis of ASOs presents unique challenges due to their distinct chemical and biological characteristics, requiring specialized analytical methods and regulatory oversight. This review explores the latest methodologies in ASO bioanalysis, assesses the current regulatory environment, and considers future directions, particularly in the context of critical and emerging technologies (CETs) relevant to national security strategies. ASOs, classified under biotechnology, play a crucial role in gene expression modulation and protein regulation. By integrating insights from CETs, this review emphasizes the strategic significance of ASO bioanalysis in driving advancements in medical science and contributing to national security.

Glutamate Transport Proteins and Metabolic Enzymes are Poor Prognostic Factors in Invasive Lobular Carcinoma.

Invasive Lobular Carcinoma (ILC) is a subtype of breast cancer characterized by distinct biological features, and limited glucose uptake coupled with increased reliance on amino acid and lipid metabolism. Our prior studies highlight the importance of glutamate as a key regulator of ILC tumor growth and therapeutic response. Here we examine the expression of four key proteins involved in glutamate transport and metabolism - SLC3A2, SLC7A11, GPX4, and GLUD1/2 - in a racially diverse cohort of 72 estrogen receptor-positive (ER+) ILC and 50 ER+ invasive ductal carcinoma, no special type (IDC/NST) patients with primary disease. All four proteins are associated with increased tumor size in ILC, but not IDC/NST, with SLC3A2 also specifically linked to shorter overall survival and the presence of comorbidities in ILC. Notably, GLUD1/2 expression is associated with ER expression in ILC, and is most strongly associated with increased tumor size and stage in Black women with ILC from our cohort and TCGA. We further explore the effects of GLUD1 inhibition in endocrine therapy-resistant ILC cells using the small-molecule inhibitor R162, which reduces ER protein levels, increases reactive oxygen species, and inhibits oxidative phosphorylation. These findings highlight a potentially important role for glutamate metabolism in ILC, particularly for Black women, and position several of these glutamate-handling proteins as potential targets for therapeutic intervention in ILC.

Splenic marginal zone lymphoma: management specifics. Clinical observation

Despite having common histological and immunophenotypic characteristics with other marginal zone lymphomas, splenic marginal zone lymphoma (SMZL) has distinctive clinical and biological features. The main indications for therapy of this disease (of primarily indolent progression) are progressive splenomegaly and/or progressive cytopenia. Current clinical management guidelines do not conclusively point to advantages of one certain therapy, and there is no universal algorithm of management of patients with newly diagnosed SMZL manifesting through progressive splenomegaly. Therefore, determination of indications for surgical treatment is an important problem. A clinical observation of a female patient with newly diagnosed advanced SMZL is presented. Due to progressive splenomegaly and hypersplenism symptoms, the patient underwent splenectomy. Personalized multidisciplinary approach allowed to relieve hypersplenism symptoms as quickly as possible, and the absence of postoperative complications with indolent disease progression significantly increased the patient’s quality of life and allowed to continue dynamic observation.

Evaluation of prognostic risk factors of triple-negative breast cancer with 18F-FDG PET/CT parameters, clinical pathological features and biochemical indicators.

Breast cancer is a heterogeneous disease comprising various molecular subtypes, including Luminal A, Luminal B, human epidermal growth factor receptor-2 (HER2) positive, and triple negative types, each with distinct biological characteristics and behaviors. Triple negative breast cancer (TNBC) remains a particularly challenging subtype worldwide. Our study aims to evaluate whether Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography (18F-FDG PET/CT) parameters, clinical pathological features, and biochemical indicators serve as prognostic risk factors for TNBC. Additionally, we explore correlations between biochemical indicators and 18F-FDG PET/CT parameters. We conducted a retrospective analysis of 95 TNBC patients who underwent preoperative 18F-FDG PET/CT examinations at Tianjin Medical University Cancer Institute and Hospital from 2013 to 2018. Collected data included 18F-FDG PET/CT parameters, clinical and pathological features, and biochemical indicators. We used Kaplan-Meier survival analysis and multivariate Cox regression analysis to evaluate associations between 18F-FDG PET/CT parameters/biochemical indicators and disease free survival (DFS)/overall survival (OS). The log-rank test determined significant differences in survival curves, and the Spearman correlation coefficient analyzed correlations between quantitative variables. Visualization and analysis were performed using R packages. Among 95 TNBC patients, mean standardized uptake value (SUVmean) was significantly correlated with DFS. Fasting blood glucose (FBG), α- L-fucosylase (AFU) and Creatine kinase (CK) were independent predictors of DFS, while Precursor albumin (PALB) and CK were independent predictors of OS. FBG showed correlations with SUVpeak and SUVmean, and CK was correlated with peak standardized uptake value (SUVpeak). Our results indicated that 18F-FDG PET/CT parameters and biochemical indicators may constitute a new prognostic model for TNBC patients post-surgery. We found that SUVmean, FBG, AFU and CK are predictive factors for DFS in TNBC patients post-surgery, while PALB and CK are predictive factors for OS, which prompts us to pay more attention to these indicators in clinical practice. Also 18F-FDG PET/CT parameters and biochemical indicators have potential utility in constituting a new prognostic model for TNBC patients post-surgery.

The role of cGAS-STING signaling in the development and therapy of head and neck squamous cell carcinoma.

The cGAS-STING signaling pathway plays a critical role in innate immunity and defense against viral infections by orchestrating intracellular and adaptive immune responses to DNA. In the context of head and neck squamous cell carcinoma (HNSCC), this pathway has garnered significant attention due to its potential relevance in disease development and progression. HNSCC is strongly associated with risk factors such as smoking, heavy alcohol consumption, and human papillomavirus (HPV) infection. The presence or absence of HPV in HNSCC patients has been shown to have a profound impact on patient survival and prognosis, possibly due to the distinct biological characteristics of HPV-associated tumors. This review aims to provide a comprehensive overview of the current therapeutic approaches and challenges in HNSCC management, as well as the involvement of cGAS-STING signaling and its potential in the therapy of HNSCC. In addition, by advancing the present understanding of the mechanisms underlying this pathway, Activation of cGAS-STING-dependent inflammatory signaling downstream of chromosomal instability can exert both anti-tumoral and pro-tumoral effects in a cell-intrinsic manner, suggesting individualized therapy is of great importance. However, further exploration of the cGAS-STING signaling pathway is imperative for the effective management of HNSCC.

Molecular profiling METex14+ non-small cell lung cancer (NSCLC): Impact of histology

ObjectivesMET exon 14 skipping alterations (METex14+) represent a heterogeneous subgroup of non-small cell lung cancer (NSCLC) with distinct biological and genomic features. We characterized this heterogeneity in a large cohort, integrating genomic and transcriptomic profiling with clinical outcomes, to elucidate the histologic and molecular traits and survival patterns of METex14+ NSCLC. Materials and methodsNSCLC tissue samples (n = 28,739) underwent DNA-based next-generation sequencing (592 genes, NextSeq) or whole-exome sequencing (NovaSeq), RNA-sequencing including whole transcriptome sequencing (WTS, NovaSeq), and PD-L1 IHC (Dako 22C3) at Caris Life Sciences. Immune cell fractions were estimated from bulk RNA sequencing (quanTIseq). Real-world survival data (mOS) was calculated from insurance claims. Statistical analyses employed Chi-square, Fisher’s exact, or Mann-Whitney U and log-rank tests and were corrected for hypothesis testing where applicable. ResultsA total of 711 METex14+ cases were detected. Of 575 cases of defined histology, 77 (13.6 %) were squamous (Sq), 474 (82.3 %) were nSq (non-squamous), and 24 (4.1 %) were adenosquamous. Mutations in POT1 and BRCA2 were enriched, and amplifications in MDM2, HMGA2, CDK4, and MET were common in METex14+ tumors. TMB-high and TP53 mutated tumors were reduced in METex14+ independent of histology. KEAP1 (2.1 vs 14.7 %) and STK11 mutations (0.8 vs 17.1 %) were reduced only in METex14+ nSq (vs METex14+ Sq, q < 0.05). While the prevalence of PD-L1 high tumors was enriched in METex14+ independent of histology, T-cell inflamed tumors were enriched only in nSq METex14+. B-cells and CD8+ T-cells (1.07–1.43-fold) were enriched in nSq METex14+, and dendritic cells (0.32 fold) were reduced only in METex14+ Sq. METex14+ tumors had a modest improvement in mOS compared to METex14- tumors (mOS = 22.9 m vs 18.6 m, HR = 0.914, p = 0.04). Moreover, METex14+ tumors who received immunotherapy (IO) had a modest improvement in survival (mOS = 27.5 m vs 21.8 m; HR = 0.803, p = 0.03) compared to those who did not receive IO. METex14+ nSq tumors were associated with improved mOS compared to METex14+ Sq tumors (mOS = 27.7 vs 8.9 m, HR = 0.493, p < 0.0001). ConclusionMETex14+ alterations are a heterogeneous subgroup of NSCLC. Our analysis reveals that METex14+ nSq exhibit improved survival compared to METex14+ Sq. The distinct genomic and transcriptomic variations across histologies warrant clinical consideration.

Carbon quantum dots for the diagnosis and treatment of ophthalmic diseases.

Carbon quantum dots (CQDs), an emerging nanomaterial, are gaining attention in ophthalmological applications due to their distinctive physical, chemical, and biological characteristics. For example, their inherent fluorescent capabilities offer a novel and promising alternative to conventional fluorescent dyes for ocular disease diagnostics. Furthermore, because of the excellent biocompatibility and minimal cytotoxicity, CQDs are well-suited for therapeutic applications. In addition, functionalized CQDs can effectively deliver drugs to the posterior part of the eyeball to inhibit neovascularization. This review details the use of CQDs in the management of ophthalmic diseases, including various retinal diseases, and ocular infections. While still in its initial phases within ophthalmology, the significant potential of CQDs for diagnosing and treating eye conditions is evident.

Comparison of facial skin ageing in healthy Asian and Caucasian females quantified by in vivo line-field confocal optical coherence tomography 3D imaging.

Quantitative biomarkers of facial skin aging were investigated in 109 healthy Asian female volunteers, aged 20 to 70 years. In vivo 3D Line-field Confocal Optical Coherence Tomography (LC-OCT) imaging, enhanced by Artificial Intelligence (AI)-based quantification algorithms, was utilized to compute various metrics, including stratum corneum thickness (SC), viable epidermal (VE) thickness, and Dermal-Epidermal Junction (DEJ) undulation along with cellular metrics for the temple, cheekbone, and mandible. Comparison with data from a cohort of healthy Caucasian volunteers revealed similarities in the variations of stratum corneum and viable epidermis layers, as well as cellular shape and size with age in both ethnic groups. However, specific findings emerged, such as larger, more heterogeneous nuclei in both layers, demonstrated by an increase in nuclei volume and their standard deviation, and increased network atypia, all showing significant age-related variations. Caucasian females exhibited a flatter and more homogeneous epidermis, evidenced by a decreased standard deviation of the number of layers, and a less dense cellular network with fewer cells per layer, indicated by a decrease in cell surface density. Ethnicity-wise comparisons highlighted distinct biological features specific to each population. Asian individuals showed significantly higher DEJ undulation, higher compactness, and lower cell network atypia compared to their Caucasian counterparts across age groups. Differences in stratum corneum and viable epidermal thickness on the cheekbone were also significant. LC-OCT 3D imaging provides valuable insights into the aging process in different populations and underscores inherent biological differences between Caucasian and Asian female volunteers.

Adjuvant Therapy in Acral Melanoma: A Systematic Review.

Acral melanoma presents distinct biological characteristics compared to cutaneous melanoma. While adjuvant therapeutic strategies for high-risk resected acral melanoma closely resemble those for cutaneous melanoma, the evidence supporting the clinical application of adjuvant therapy for acral melanoma remains inadequate. Our aim was to systematically analyze the efficacy and safety profile of adjuvant therapy in acral melanoma. This systematic review adhered to a pre-registered protocol. We comprehensively searched four electronic databases and reference lists of included articles to identify eligible studies. The primary outcome was therapeutic efficacy, and the secondary outcome was adverse events (AEs). This systematic review included 11 studies with 758 acral melanoma patients undergoing adjuvant therapy. High-dose interferon α-2b (IFN) regimens showed no significant difference in recurrence-free survival (RFS), though the longer regimen was linked to increased hepatotoxicity. Adjuvant anti-PD-1 therapy demonstrated varying efficacy, with improved RFS in patients who experienced immune-related AEs. Targeted therapy with dabrafenib plus trametinib achieved high 12-month RFS in patients with BRAF-mutated acral melanoma. Comparative studies suggested that adjuvant anti-PD-1 therapy is similarly effective to IFN in prolonging survival for high-risk acral melanoma patients. Additionally, prior treatment with pegylated IFN enhanced RFS in patients receiving adjuvant pembrolizumab. High-dose IFN was widely used as adjuvant therapy for acral melanoma, but serious AEs prompted the search for alternatives. Adjuvant anti-PD-1 therapy shows promise, though it may be less effective than in non-acral melanoma. Further prospective studies are needed to determine the optimal adjuvant treatment for acral melanoma.

Distinct clinical outcomes and biological features of specific KRAS mutants in human pancreatic cancer

KRAS mutations in pancreatic ductal adenocarcinoma (PDAC) are suggested to vary in oncogenicity but the implications for human patients have not been explored in depth. We examined 1,360 consecutive PDAC patients undergoing surgical resection and find that KRASG12R mutations are enriched in early-stage (stage I) disease, owing not to smaller tumor size but increased node-negativity. KRASG12R tumors are associated with decreased distant recurrence and improved survival as compared to KRASG12D. To understand the biological underpinnings, we performed spatial profiling of 20 patients and bulk RNA-sequencing of 100 tumors, finding enhanced oncogenic signaling and epithelial-mesenchymal transition (EMT) in KRASG12D and increased nuclear factor κB (NF-κB) signaling in KRASG12R tumors. Orthogonal studies of mouse KrasG12R PDAC organoids show decreased migration and improved survival in orthotopic models. KRAS alterations in PDAC are thus associated with distinct presentation, clinical outcomes, and biological behavior, highlighting the prognostic value of mutational analysis and the importance of articulating mutation-specific PDAC biology.

The transcriptional landscape and clinico-biological characterization of human endogenous retroviruses in esophageal squamous cell carcinoma.

Human endogenous retroviruses (HERVs) are emerging as critical elements in host genomic regulation. Aberrant HERV transcription has been implicated in developmental and tissue-specific aging and pathological processes. In this study, we presenteda comprehensive locus-specific characterization of the HERV expression landscape in esophageal squamous cell carcinoma (ESCC). We demonstrated the transcriptional diversity among patients and identified 12 clinically relevant HERVs in the SCH cohort, which were experimentally validated by Real-Time Quantitative Polymerase Chain Reaction (RT-qPCR) in the CAMS cohort. ESCC patients were stratified into three HERV-based subtypes (HERVhigh, HERVmedian and HERVlow) with distinct clinical and biological characteristics. The HERVhigh subtype was associated with worse survival, increased CD4+ T cellsinfiltration and decreased metabolic activity, whereas the HERVlow subtype was characterized by abundant CD8+ T cells, increased metabolic activity, and better survival. The HERV-based tumor subtyping was further robustly validated by RNA sequencing and RT-qPCR in two additional external cohorts. Our findings demonstrate the clinical significance of HERVs for tumor subtyping and prognosis, provide insights into the functional role of HERVs and a valuable resource for developing novel biomarkers and therapeutic targets in ESCC.

AML-222 Distinct Clinical and Biological Characteristics of Acute Myeloid Leukemia With Higher Expression of PIWIL4

AML-222 Distinct Clinical and Biological Characteristics of Acute Myeloid Leukemia With Higher Expression of PIWIL4

Distinct Clinical and Biological Characteristics of Acute Myeloid Leukemia With Higher Expression of PIWIL4

Distinct Clinical and Biological Characteristics of Acute Myeloid Leukemia With Higher Expression of PIWIL4

Predicting the ER Status Using the Gene Expression Profiles

Breast cancer is the most frequently diagnosed malignancy among women globally, making it the leading cause of cancer incidence worldwide. This type of cancer is particularly challenging due to its high degree of molecular heterogeneity, with many different subtypes exhibiting distinct genetic and biological characteristics. Estrogen receptors (ERs) play a crucial role in breast cancer by acting as receptors for the hormone estrogen, often referred to as the hormone receptor (HR). The presence or absence of ERs, known as ER status, significantly impacts treatment decisions, making accurate prediction of ER status essential for personalized treatment plans. Various methods have been proposed in the literature to predict ER status based on gene expression profiles using microarray genome-wide gene expression profiling. The issue of class imbalance, indicated by a notable variation in the number of samples per class and the curse of dimensionality, is a significant concern with microarray datasets. This paper introduces a novel technique, Fuzzy XGBoost, to predict ER status in breast cancer cases while addressing the class imbalance problem. The proposed algorithm enhances the traditional XGBoost method by incorporating fuzzy logic principles, improving its robustness, computational power, and accuracy in handling imbalanced datasets. Our research demonstrates the effectiveness of the proposed Fuzzy XGBoost algorithm in accurately predicting ER status across multiple gene expression profile datasets. This approach not only contributes to advancements in breast cancer treatment but also showcases the power of computational methods in bioinformatics. We evaluate our method using four datasets: GSE2990, GSE3494, GSE6532, and GSE7390, achieving predictive accuracies of 100%, 92%, 100%, and 96%, respectively. The successful application of Fuzzy XGBoost in this context highlights its potential for broader use in bioinformatics, where leveraging computational power to address challenges such as imbalanced data is critical for predictive accuracy and personalized treatment. DOI: https://doi.org/10.52783/pst.619

Exon-Skipping–Based Subtyping of Colorectal Cancers

The identification of colorectal cancer (CRC) molecular subtypes has prognostic and potentially diagnostic value for patients, yet reliable subtyping remains unavailable in the clinic. The current consensus molecular subtype (CMS) classification in CRCs is based on complex RNA expression patterns quantified at the gene level. The clinical application of these methods, however, is challenging due to high uncertainty of single-sample classification and associated costs. Alternative splicing, which strongly contributes to transcriptome diversity, has rarely been used for tissue type classification. Here, we present an AS-based CRC subtyping framework sensitive to differential exon use that can be adapted for clinical application. Unsupervised clustering was used to measure the strength of association between different categories of alternative splicing and CMS. To build a classifier, the ground truth for CMS labels was derived from expression data quantified at the gene level. Feature selection was achieved through bootstrapping and L1-penalized estimation. The resulting feature space was used to construct a subtype prediction framework applicable to single and multiple samples. The performance of the models was evaluated on unseen CRCs from 2 independent sources (Indivumed, n= 129; The Cancer Genome Atlas, n= 99). We developed a CRC subtype identifier based on 29 exon-skipping events that accurately classifies unseen tumors and enables more precise differentiation of subtypes characterized by distinct biological and prognostic features as compared to classifiers based on gene expression. Here, we demonstrate that a small number of exon-skipping events can reliably classify CRC subtypes using individual patient specimens in a manner suitable to clinical application.

AB092. Imaging the histopathology subtypes of the growth hormone-secreting pituitary neuroendocrine tumor.

Sparsely granulated (SG) growth hormone-secreting pituitary neuroendocrine tumors (GH-PitNETs) often present with a more aggressive clinical course compared to densely granulated (DG) tumors. These subtypes exhibit distinct biological and imaging characteristics. Thus, this study aims to differentiate between the histopathological subtypes of GH-PitNETs using pre-operative magnetic resonance imaging (MRI). A retrospective analysis was conducted on 83 acromegalic patients treated at our institution between 2000 and 2010. Tumor volumes were segmented from preoperative MRIs, including T1-weighted, T2-weighted, T1 with contrast, and T2 fluid attenuated inversion recovery (FLAIR) sequences. Reference regions of interest (ROIs) were delineated using gray and white matter from the same sequences. Two pathologists reviewed pathology specimens for anti-cytokeratin (CAM 5.2) and Pit-1 expression. Clinical and radiological biomarkers were compared between SG and DG patients. A total of 83 patients with complete histopathology and 51 patients with complete MRIs were included in the analysis. SG PitNETs exhibited higher rates of supra-sellar invasion (61.5%, P<0.001), larger tumor sizes, lower pre-operative GH levels, and increased post-operative residual tumor (65.4%, P<0.001) compared to DG PitNETs. Additionally, SG PitNETs showed greater hyperintensity on T2-weighted images and enhanced contrast, whereas DG PitNETs exhibited less contrast enhancement. Utilization of these imaging biomarkers demonstrated an 94.1% accuracy in T2 FLAIR and overall of 78.7% predicting the histopathological subtypes of GH-PitNETs. Distinct histopathological subtypes of GH-PitNETs represent crucial prognostic factors. Utilizing multimodal pre-operative MRIs, clinicians can accurately identify sparsely granulated GH-PitNETs, facilitating improved treatment planning strategies.