Neuroendocrine neoplasms (NENs) are a heterogeneous group of diseases that are characterized by different behavior and clinical manifestations. The diagnosis and management of this group of tumors are challenging due to tumor complexity and lack of precise and widely validated biomarkers. Indeed, the current circulating mono-analyte biomarkers (such as chromogranin A) are ineffective in describing such complex tumors due to their poor sensitivity and specificity. In contrast, multi-analytical circulating biomarkers (including NETest) are emerging as more effective tools to determine the real-time profile of the disease, both in terms of accurate diagnosis and effective treatment. In this review, we will analyze the capabilities and limitations of different circulating biomarkers focusing on three relevant questions: (1) accurate and early diagnosis; (2) monitoring of disease progression and response to therapy; and (3) detection of early relapse.

Mantle cell lymphoma (MCL) is an aggressive subtype of non-Hodgkin lymphoma (NHL) whose clinical course is largely shaped by molecular and biological features. Among the most impactful prognostic markers, TP53 mutations have emerged as critical determinants of treatment resistance since their first identification in MCL in 1996. Regardless of the detection method, TP53 mutations have been consistently associated with primary refractoriness to chemoimmunotherapy and significantly reduced overall survival. In this perspective, we explored recent advances in applying integrated-omics approaches to assess TP53 status. Despite its prognostic value, routine testing for TP53 at diagnosis remains uncommon, hindered by the lack of standardized protocols and costs for Next-Generation Sequencing (NGS), and the suboptimal reliability of immunohistochemistry (IHC) as a surrogate. This gap between research evidence and clinical practice represents a critical barrier to risk-adapted therapy. The broad implementation of standardized and accessible genomic techniques is essential to identify patients who deserve a personalized therapeutic approach. Several clinical trials have recently explored alternative chemo-free or targeted regimens specifically tailored to TP53-mutated patients (i.e., NCT03824483, NCT03567876), with promising results. This risk-adapted approach reflects a paradigm shift in MCL management, emphasizing the need for early molecular risk assessment to guide treatment decisions. In this scenario, TP53 mutations are no longer supporting actors, but a game-changer for the prognosis and treatment of patients with MCL.

Background: Mantle Cell Lymphoma (MCL) is an aggressive malignancy with variable clinical behavior, largely reflecting the underlying molecular heterogeneity. The genomic landscape of MCL encompasses gene mutations with strong prognostic implications and secondary genetic events, which are also implicated in the pathogenesis and prognosis of the disease. Methods: We evaluated the diagnostic samples of 73 patients with relapsed/refractory MCL that were enrolled in the Fondazione Italiana Linfomi Mantle First-BIO study. All patients had available data for correlating CNVs with the presence of TP53 mutation. Time to first relapse or progression of disease (POD) was used as the primary outcome measure. Results: We identified CNVs associated with MCL, with Del 9p21.3 (CDKN2A) being the strongest predictor of shorter time to POD (p = 0.01), independently of TP53 mutation in multivariable analysis. Unsupervised clustering identified molecularly defined clusters that were associated with significantly different times to POD (p = 0.01). Pairwise log-rank tests confirmed TP53 mutated vs. wild-type (WT) as the strongest prognostic factor, with cluster assessment improving the prognostic predictivity among patients: clusters TP53-mut vs. TP53-WT, p = 0.001, HR = 3.92; and p = 0.014, HR = 2.23, respectively. In conclusion, CNV-based molecular clusters might represent a novel approach to identify patients at higher risk of treatment failure, further contributing to the prognostic predictivity of TP53 mutation.

This study comprehensively dissects the molecular landscape of older patients with mantle cell lymphoma (MCL) enrolled in the phase 2 FIL V-RBAC trial of the Fondazione Italiana Linfomi (FIL). Of the 140 patients enrolled, 132 had available genomic DNA extracted from lymph node biopsies or bone marrow aspirates and were included in the analysis. A cancer personalized profiling by deep sequencing assay targeting 146 genes relevant to MCL pathogenesis was used to identify gene mutations and copy number variations. ATM was the most frequently mutated gene, detected in 55 patients (41.7%), followed by TP53 and KMT2D in 31 patients (23.5%). ATM deletion was observed in 32 patients (24%), whereas CDKN2A loss was observed in 29 (22%). Beyond TP53 mutations, 3 other molecular lesions, including CDKN2A loss, CD36 mutations, and single-hit ATM abnormalities (either mutation or deletion), were independently associated with progression-free survival after adjustment for high-risk trial-defining features, namely Ki-67 ≥30% and blastoid variant. Notably, patients harboring single-hit ATM alterations without any additional risk factors achieved durable long-term remission, whereas CD36 mutations were associated with adverse survival. Both findings represent previously unrecognized aberrations in this cohort that were independently and inversely associated with survival. The 4 variables were integrated into a 4-factor molecular prognostic model internally validated using a bootstrapping approach, which identified 4 distinct patient subgroups with significantly different outcomes. These findings support the importance of (1) molecular profiling in MCL, (2) risk-adapted trials such as FIL V-RBAC, and (3) the integration of other biological markers with TP53 mutations for a more precise risk assessment in MCL. This trial was registered at www.clinicaltrials.gov as NCT03567876.