Cancers最新文献

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Renal cell carcinoma (RCC) is a heterogeneous disease that represents the most common type of kidney cancer. The classification of RCC is primarily based on distinct morphological and molecular characteristics, with two broad categories: clear cell RCC (ccRCC) and non-clear cell RCC (nccRCC). Clear cell RCC is the predominant subtype, representing about 70-80% of all RCC cases, while non-clear cell subtypes collectively make up the remaining 20-30%. Non-clear cell RCC encompasses many histopathological variants, each with unique biological and clinical characteristics. Additionally, any RCC subtype can undergo sarcomatoid dedifferentiation, which is associated with poor prognosis and rapid disease progression. Recent advances in molecular profiling have also led to the identification of molecularly defined variants, further highlighting the complexity of this disease. While immunotherapy has shown efficacy in some RCC variants and subpopulations, significant gaps remain in the treatment of rare subtypes. This review explores the outcomes of immunotherapy across RCC subtypes, including rare variants, and highlights opportunities for improving care through novel therapies, biomarker-driven approaches, and inclusive clinical trial designs.

Background/objectives: Accurate diagnosis is essential to avoid unnecessary procedures for thyroid incidentalomas (TIs). Advances in radiomics and machine learning applied to medical imaging offer promise for assessing thyroid nodules. This study utilized radiomics analysis on F-18 FDG PET/CT to improve preoperative differential diagnosis of TIs.

Methods: A total of 152 patient cases were retrospectively analyzed and split into training and validation sets (7:3) using stratification and randomization.

Results: The least absolute shrinkage and selection operator (LASSO) algorithm identified nine radiomics features from 960 candidates to construct a radiomics signature predictive of malignancy. Performance of the radiomics score was evaluated using receiver operating characteristic (ROC) analysis and area under the curve (AUC). In the training set, the radiomics score achieved an AUC of 0.794 (95% CI: 0.703-0.885, p < 0.001). Validation was performed on internal and external datasets, yielding AUCs of 0.702 (95% CI: 0.547-0.858, p = 0.011) and 0.668 (95% CI: 0.500-0.838, p = 0.043), respectively.

Conclusions: These results demonstrate that the selected nine radiomics features effectively differentiate malignant thyroid nodules. Overall, the radiomics model shows potential as a valuable predictive tool for thyroid cancer in patients with TIs, supporting improved preoperative decision-making.

T-cell redirecting therapies, which include chimeric antigen receptor T-cells (CAR-Ts) and bispecific antibodies (BSAs), have revolutionized the treatment of relapsedrefractory large B-cell lymphoma (LBCL). Expanding clinical experience with these advanced therapies shows the potential for the optimization of their use with combination or consolidation strategies, which necessitates the prognostic stratification of patients. While traditional clinical prognostic factors identified in the era of chemotherapy are characterized by limited value, the tumor microenvironment (TME) is becoming a new prognostic cluster. We examine how the heterogeneity of LBCL, characterized by variations in tumor parameters and differences in TME immune cell composition, immune checkpoint expression, and cytokine milieu, correlates with both positive responses and resistance to treatment. While classical parameters such as histological subtype, cell of origin, and target antigen expression lack proven prognostic value for T-cell redirecting therapies, the density and functional state of tumor-infiltrating lymphocytes, tumor-associated macrophages, and immune checkpoint molecules are shown to be critical determinants of therapeutic success, particularly in CAR-T therapy. We identify several gaps in the current knowledge and suggest that the insights gained from CAR-T experience could be instrumental in refining BSA applications. This report also highlights limitations in the current knowledge, as TME data derive from a limited number of registrational trials with varying methodologies, complicating cross-study comparisons and often focusing on immediate response metrics rather than long-term outcomes. By dissecting the complex interactions within the TME, this review aims to identify new prognostic factors and targets, ultimately fostering more effective and tailored treatment strategies for LBCL patients.

Endometrial cancer (EC), a prevalent gynecological malignancy, presents significant challenges due to its genetic complexity and heterogeneity. The genomic landscape of EC is underpinned by genetic alterations, such as mutations in PTEN, PIK3CA, and ARID1A, and chromosomal abnormalities. The identification of molecular subtypes-POLE ultramutated, microsatellite instability (MSI), copy number low, and copy number high-illustrates the diverse genetic profiles within EC and underscores the need for subtype-specific therapeutic strategies. The integration of multi-omics technologies such as single-cell genomics and spatial transcriptomics has revolutionized our understanding and approach to studying EC and offers a holistic perspective that enhances the ability to identify novel biomarkers and therapeutic targets. The translation of these multi-omics findings into personalized medicine and precision oncology is increasingly feasible in clinical practice. Targeted therapies such as PI3K/AKT/mTOR inhibitors have demonstrated the potential for improved treatment efficacy tailored to specific genetic alterations. Despite these advancements, challenges persist in terms of variability in patient responses, the integration of genomic data into clinical workflows, and ethical considerations. This review explores the genomic underpinnings of EC, from genes to clinical practice. It highlights the ongoing need for multidisciplinary research and collaboration to address the complexities of EC and improve diagnosis, treatment, and patient outcomes.

Objective: The aim of this systematic review and meta-analysis was to qualitatively and quantitatively evaluate the current evidence on the significance of the loss of early stages of oral carcinogenesis in lesions diagnosed according to clinical and/or histopathological criteria and their evolution to oral cancer.

Materials and methods: We searched MEDLINE (through PubMed), Embase, Scopus and Web of Science for primary-level studies published before November 2024, designed as prospective or retrospective longitudinal cohorts, and not restricted by language or publication date. The risk of bias was critically assessed using the QUIPS tool. Meta-analyses, heterogeneity exploration, sensitivity and small-study effect analyses were conducted.

Results: The inclusion criteria were met by six primary-level studies, which recruited 330 patients with OPMDs with follow-up data. The loss of pRb expression, assessed through immunohistochemistry, was significantly associated with a higher malignant transformation risk of OPMDs (RR = 1.92, 95%CI = 1.25-2.94, p = 0.003). The leukoplakia subgroup retained this significant association (p = 0.006), being the OPMD where the loss of pRb expression showed the best predictive value for malignant transformation (RR = 2.00, 95%CI = 1.22-3.29). Regarding the immunohistochemical technique and scoring methods, better performance and results were achieved by applying a cutoff point > 10% pRb-positive cells with nuclear staining (RR = 2.10, 95%CI = 1.30-3.38, 95%CI = 0.002).

Conclussion: The present systematic review and meta-analysis supports that the loss of expression of the tumor suppressor pRb, assessed through immunohistochemistry, is a predictor of the malignant transformation risk of oral leukoplakias. Future studies are needed in other OPMDs following the recommendations provided based on current evidence gaps.

Lymphangioleiomyomatosis (LAM) is a rare, progressive, and poor-prognosis systemic disorder that primarily affects women of reproductive age, with a higher prevalence among individuals of Caucasian origin. However, there are limited reliable data on the prevalence of LAM during pregnancy. The fulminant respiratory clinical presentation that often includes progressive dyspnea on exertion, cough, or hemoptysis, frequently complicated by pneumothorax, and the increased risk of spontaneous abortion due to increased estrogen and progesterone production during gestation, are arguments that most often make the diagnosed woman avoid pregnancy. Elevated levels of vascular endothelial growth factor D (VEGF-D), decline in respiratory function, and radiological findings are sufficient arguments in favor of the diagnosis in the pregnant woman. Sirolimus, an mTOR inhibitor, has demonstrated effectiveness in slowing the decline of lung function. Although sirolimus treatment is often recommended to be discontinued before conception due to the increased risk of fetal growth restriction, maintaining a dose level of <5 pcg/mL, with serum drug levels of 3-5 pcg/L, has been considered safe. Given the potential risks, individualized decisions about pregnancy are advised for patients with LAM. For those who choose to proceed, close monitoring by a multidisciplinary team is essential to manage complications effectively. Ongoing research aims to provide clearer guidance to optimize outcomes for both mother and child.

At the end of the past century, the introduction of Total Mesorectal Excision (TME), preceded by either short-course radiotherapy (SCRT) or chemoradiation (CRT), established the new standard of care for locally advanced rectal cancer (LARC). Recently, significant advancements were achieved for both dMMR/MSI and pMMR/MSS LARC patients. For the 2-3% of dMMR/MSI LARCs, ablative immunotherapy emerged as a curative approach, offering the possibility of avoiding chemotherapy (CT), radiotherapy, and surgery altogether. In pMMR/MSS LARCs, the intensification of preoperative treatments with Total Neoadjuvant Treatment (TNT) afforded three outcomes: (a) a reduction of distant metastases, positively impacting on survival endpoints, (b) a significant increase of complete clinical response (cCR) rate, paving the way for non-operative management (NOM), and (c) the selective omission of radiotherapy following induction CT. The choice of the most appropriate therapeutic strategy can only be made through the shared decision-making process between physician and patient based on risk stratification and patient preferences.