Clinical and Translational Oncology最新文献

Background

Neoadjuvant immunochemotherapy (NICT) is a new treatment method for resectable non-small-cell lung cancer (NSCLC). Network meta-analysis assessed efficacy, safety, and optimal treatment.

Methods

We searched for randomized controlled trials (RCTs) comparing NICT with neoadjuvant chemotherapy (NCT) in PubMed, Embase, Web of Science, Cochrane Library, and international conferences. Outcomes were surgical resection rate, pathological complete response(pCR),event-free survival (EFS), and Grade 3–5 treatment-related adverse events (TRAEs).

Results

RCTs of 3,387 patients, six treatment combinations, and two modalities were included. Meta-analysis showed that NICT yielded higher pCR and EFS rates than NCT. The toripalimab-chemotherapy combination had the highest surgical resection rate (OR = 1.68, 95% CI: 1.05–2.73), pCR (OR = 38.84, 95% CI: 11.05–268.19) and EFS (HR = 0.40, 95% CI: 0.28–0.58).This regimen worked well for patients with low programmed death-ligand 1 (PD-L1) expression or squamous cell pathology. For high PD-L1 expression and patients with NSCLC, neoadjuvant nivolumab with chemotherapy had the most efficacy. The incidence of treatment-related adverse events increased with longer treatment cycles, with perioperative nivolumab combined with chemotherapy showing the worst safety profile (RR = 1.32, 95% CI: 1.00–1.76), while neoadjuvant nivolumab combined with chemotherapy alone had the best safety profile (RR = 0.91, 95% CI: 0.68–1.21). Indirect comparison showed no survival benefit for neoadjuvant-adjuvant immunotherapy (HR = 0.93, 95% CI: 0.65–1.35). In the indirect comparison between the two immune checkpoint inhibitors(ICIs), although there was no significant difference in EFS (HR = 0.81, 95% CI: 0.61–1.08), PD-1 inhibitors may still be the most effective treatment option.

Conclusions

NICT effectively and safely treats resectable NSCLC. The optimal treatment combination is typically toripalimab and chemotherapy. Treatment based on PD-L1 expression and pathological type is recommended.

Cancer is one of the most serious diseases that threaten human life and health. Among all kinds of diseases, the mortality rate of malignant tumors is the second highest, second only to cardio-cerebrovascular diseases. Cancer treatment typically involves imaging, surgery, and pathological analysis. When patients are identified as carcinoma by the above means, there are often problems of distant metastasis, delayed treatment, and drug tolerance, indicating that patients have some poor prognosis and overall survival. Hence, the development of novel molecular biomarkers is of great clinical importance. In recent years, as an important mediator of material and information exchange between cells in the tumor microenvironment, lncRNA have attracted widespread attention for their roles in tumor development. In this review, we comprehensively summarize the up-to-date knowledge of lncARSR on diverse cancer types which mainly focuses on tumor proliferation, drug tolerance, and lipid and cholesterol metabolism, highlighting the potential of lncARSR as a diagnostic and prognostic biomarker and even a therapeutic target. In our final analysis, we provide a synthesized overview of the directions for future inquiry into lncARSR, and we are eager to witness the advancement of research that will elucidate the multifaceted nature of this lncRNA.

Purpose

This retrospective study was undertaken to assess the predictive efficacy of ¹⁸F-FDG PET/CT -derived radiomic features concerning the co-mutation status of epidermal growth factor receptor (EGFR) and TP53 in LUAD.

Methods

A cohort of 150 LUAD patients underwent pretreatment ¹⁸F-FDG PET/CT scans with known mutation status of EGFR and TP53 were collected. The feature extraction based on their PET/CT images utilized the Pyradiomics package based on the 3D Slicer. The optimal radiomic features were selected through correlation analysis and the Gradient Boosting Decision Tree (GBDT) algorithm, followed by the construction of the radiomic model. The clinical model incorporated meaningful clinical variables, whereas the complex model integrated both the radiomic and clinical models. The area under the receiver operating characteristic curve (AUC) facilitated the comparison of prediction performance across the three models. The DCA gauged the clinical utility of these models.

Results

The patient cohort was randomly allocated into a training set (n = 105) and a validation set (n = 45) in a 7:3 ratio. Eleven PET and eleven CT optimal radiomic features were selected to construct the radiomic model. The model showed a good ability to discriminate the co-occurrence of EGFR and TP53, with AUC equal to 0.850 in the training set, and 0.748 in the validation set, compared with 0.750 and 0.626 for the clinical model. The complex model exhibited the highest AUC values, with 0.880 and 0.794 in both sets, but there were no significant differences compared to the radiomic model. The DCA revealed favorable clinical value.

Conclusion

Numerous studies over the past few decades have shown that RNAs are multifaceted, multifunctional regulators of most cellular processes, contrary to the initial belief that they only act as mediators for translating DNA into proteins. LncRNAs, which refer to transcripts longer than 200nt and lack the ability to code for proteins, have recently been identified as central regulators of a variety of biochemical and cellular processes, particularly cancer. When they are abnormally expressed, they are closely associated with tumor occurrence, metastasis, and tumor staging. Therefore, through searches on Google Scholar, PubMed, and CNKI, we identified five five recently characterized lncRNAs–Lnc-SLC2A12-10:1, LncRNA BCRT1, lncRNA IGFBP4-1, LncRNA PCNAP1, and LncRNA CDC6–that have been linked to the promotion of cancer cell proliferation, invasion, and metastasis. Consequently, this review encapsulates the existing research and molecular underpinnings of these five newly identified lncRNAs across various types of cancer. It suggests that these novel lncRNAs hold potential as independent biomarkers for clinical diagnosis and prognosis, as well as candidates for therapeutic intervention. In parallel, we discuss the challenges inherent in the research on these five newly discovered lncRNAs and look forward to the avenues for future exploration in this field.

Purpose

Breast cancer (BRCA) is characterized by a unique metastatic pattern, often presenting with bone metastasis (BoM), posing significant clinical challenges. Through the study of the immune microenvironment in BRCA BoM offer perspectives for therapeutic interventions targeting this specific metastatic manifestation of BRCA.

Methods

This study employs single-cell RNA sequencing and TCGA data analysis to comprehensively compare primary tumors (PT), lymph node metastasis (LN), and BoM.

Results and Conclusions

Our investigation identifies a metastatic niche in BoM marked by an increased abundance of cancer-associated fibroblasts (CAFs) and reduced immune cell presence. A distinct subtype (State 1) of BRCA BoM cells associated with adverse prognosis is identified. State 1, displaying heightened stemness traits, may represent an initiation phase for BoM in BRCA. Complex cell communications involving tumor, stromal, and immune cells are revealed. Interactions of FN1, SPP1, and MDK correlate with elevated immune cells in BoM. CD46, MDK, and PTN interactions drive myofibroblast activation and proliferation, contributing to tissue remodeling. Additionally, MDK, PTN, and FN1 interactions influence FAP+ CAF activation, impacting cell adhesion and migration in BoM. These insights deepen our understanding of the metastatic niche in breast cancer BoM.

Purpose

This study has been focused on assessing the Open Science scenario of cancer research during the period 2011–2021, in terms of the derived scientific publications and raw data dissemination.

Methods

A cancer search equation was executed in the Science Citation Index-Expanded, collecting the papers signed by at least one Spanish institution. The same search strategy was performed in the Data Citation Index to describe dataset diffusion.

Results

50,822 papers were recovered, 71% of which belong to first and second quartile journals. 59% of the articles were published in Open Access (OA) journals. The Open Access model and international collaboration positively conditioned the number of citations received. Among the most productive journals stood out Plos One, Cancers, and Clinical and Translational Oncology. 2693 genomics, proteomics and metabolomics datasets were retrieved, being Gene Expression Omnibus the favoured repository.

Conclusions

There has been an increase in oncology publications in Open Access. Most were published in first quartile journals and received higher citations than non-Open Access articles, as well as when oncological investigation was performed between international research teams, being relevant in the context of Open Science. Genetic repositories have been the preferred for sharing oncology datasets. Further investigation of research and data sharing in oncology is needed, supported by stronger Open Science policies, to achieve better data sharing practices among three scientific main pillars: researchers, publishers, and scientific organizations.

Background

The use of immune checkpoint inhibitors has led to an increase in randomized controlled trials exploring various first-line combination treatment regimens. With the introduction of new PD-1/PD-L1 inhibitors, there are now more clinical options available. For the first time, the AK105 monoclonal antibody Penpulimab, developed in China, was included. The AK105-302 Phase III trial studied the efficacy and safety of Penpulimab combined with chemotherapy in patients with advanced or metastatic squamous NSCLC. To determine the optimal treatment options, we conducted an updated network meta-analysis to compare the effectiveness and safety of these regimens.

Methods

The system retrieves data from Chinese and English electronic databases, Clinical Trials, and the gov Clinical Trial Registration website up to September 6, 2023. The study indirectly compared the efficacy and safety of PD-1/PD-L1 combination regimens, including overall survival (OS), progression-free survival (PFS), objective response rate (ORR), all-grade adverse events, and above-grade III adverse events. Subgroup analyses were conducted based on programmed death ligand 1 (PD-L1) level, histological type, ECOG score, sex, and smoking history.

Results

Nineteen RCTS were included, with a total of ten thousand eight hundred patients. Penpulimab plus chemotherapy (Pen + CT) provided the best OS (HR = 0.55, 95% CI 0.38–0.81) for PD-L1 patients with non-selective advanced NSCLC. Except Nivolumab plus Ipilimumab (Niv + Ipi), other PD-1/PD-L1 combination therapies significantly extended PFS compared with CT, and Nivolumab plus Bevacizumab combined with chemotherapy (Niv + Bev + CT) (HR = 0.43, 95% CI 0.26–0.74) provided the best PFS benefit and was comparable to Pen + CT (HR = 1.0) for PFS prolongation. For ORR, except Niv + Ipi, all the other regimens significantly improved ORR compared with CT. In terms of safety, except Tor + CT, the incidence of any-grade AEs or grade ≥ 3 adverse events may be higher than those of chemotherapy. The subgroup analysis revealed that for patients with PD-L1 levels below 1%, treatment with Tor + CT resulted in the best progression-free survival (HR = 0.47, 95% CI 0.25–0.86). For patients with PD-L1 levels of 1% or higher, Sintilimab plus chemotherapy (Sin + CT) (HR = 0.56, 95% CI 0.31–0.99) and Camrelizumab plus chemotherapy (Cam + CT) (HR = 0.43, 95% CI 0.28–0.64) were associated with the best overall survival and progression-free survival, respectively. For patients with SqNSCLC, combined immunotherapy may provide greater survival benefits. For patients with Non-sqNSCLC, Niv + Bev + CT and Tor + CT were associated with optimal PFS and OS, respectively. Cam + CT provided the best PFS in male patients with a history of smoking and an ECOG score of 0. In both female and non-smoking patient subgroups, Pem + CT was associ

Background

Mesenchymal epithelial transition factor (MET) is a rare oncologic driver gene, and information on immunotherapy for non-small cell lung cancer (NSCLC) patients with this driver gene is limited. Here we evaluate the efficacy and safety of immune checkpoint inhibitors (ICI) under different therapeutic regimen for NSCLC patients with MET alterations.

Methods

From June 2019 to December 2023, we assessed the efficacy and toxicity of ICIs in 42 NSCLC patients with MET alterations. Survival curves were plotted using the Kaplan–Meier method and the Cox proportional hazards model applied for univariate and multivariate analyses. We assessed the size of target lesion according to RECIST v1.1, and objective response rate (ORR) was defined as the sum of complete response (CR) and partial response (PR), disease control rate (DCR) as the sum of CR, PR, and disease stable.

Results

A total of 42 NSCLC patients with MET alterations were included in this retrospective study, 10 was MET 14 skipping mutation and 32 was MET amplification. The ORR for ICI treatment was 30.95% and the DCR was 71.43%. Median progression-free survival (mPFS) and median overall survival (OS) were 4.40 and 13.97 months, respectively. There exists statistical differences between the mPFS of ICI monotherapy and combine ICI therapy (2.8 vs 7.8 months, p = 0.022). The incidence of drug-related adverse reactions was 47.62%, mainly bone marrow suppression (14.28%), immune-related pneumonia (7.14%), and liver function impairment (7.14%), and six patients (14.28%) experiencing grade 3 or above adverse events.

Conclusion

NSCLC patients with MET alterations can benefit from immunotherapy, especially the patients treated by combined ICI therapy. However, special attention should be paid to the occurrence of grade 3/4 adverse reactions while using the combined ICI therapy.

Background

Cancer stem cells (CSCs) represent a potential mechanism contributing to tumorigenesis, metastasis, recurrence, and drug resistance. The objective of this study is to investigate the status quo and advancements in CSC research utilizing bibliometric analysis.

Methods

Publications related to CSCs from 2010 to 2022 were collected from the Web of Science Core Collection database. Various analytical tools including CiteSpace, VOSviewer, Scimago Graphica, and GraphPad Prism were used to visualize aspects such as co-authorship, co-occurrence, and co-citation within CSC research to provide an objective depiction of the contemporary status and developmental trajectory of the CSC field.

Results

A total of 22,116 publications were included from 1942 journals written by 95,992 authors. Notably, China emerged as the country with the highest number of publications, whereas the United States exerted the most significant influence within the field. MD Anderson Cancer Center emerged as the institution making the most comprehensive contributions. Wicha M.S. emerged as the most prolific and influential researcher. Among journals, Cancers emerged as a focal point for CSC research, consistently publishing a wealth of high-quality papers. Furthermore, it was observed that most journals tended to approach CSC research from molecular, biological, and immunological perspectives. The research into CSCs encompassed a broad array of topics, including isolation and enrichment techniques, biomarkers, biological characteristics, cancer therapy strategies, and underlying biological regulatory mechanisms. Notably, exploration of the tumor microenvironment and extracellular vesicles emerged as burgeoning research frontiers for CSCs.

Conclusion

The research on CSCs has garnered growing interest. A trend toward multidisciplinary homogeneity is emerging within the realm of CSCs. Further investigation could potentially center on the patients of extracellular vesicles and the tumor microenvironment in relation to CSCs.

Purpose

The treatment of the advanced non-small cell lung cancer (NSCLC) with KRAS mutation has been closely paid more attention. The aim of this study is to investigate the efficacy of different first-line regimens in advanced KRAS-mutated non-small cell lung cancer.

Methods

In our retrospective study, we collected patients with advanced NSCLC with KRAS mutation in Zhejiang Cancer Hospital between January 2015 and May 2023. We analyzed the benefit of different first-line therapy according to theraputic methods and the differential effect of the same treatment method among KRAS-mutated subtypes. We divided the patients into group A (A1, chemotherapy alone; A2, immunotherapy alone) and group B (B1, chemotherapy plus immunotherapy; B2, chemotherapy combined with antiangiogenic therapy; B3, chemotherapy combined with immunotherapy plus antiangiogenic therapy). The Kaplan–Meier survival curve was used to reflect the PFS and OS of different methods. The objective response rate (ORR) and the disease control rate (DCR) were used to evaluated the response.

Results

We enrolled 227 patients including eighty-two with KRAS G12C mutation. The ORR and DCR of first-line treatment in the overall population were 32.2% and 80.6% respectively. The median PFS was 6.7 months and the median OS was 17.4 months for the overall population. The PFS of the Group B was significantly better than that of the Group A (7.7 months vs 5.4 months, P = 0.003), while no significant difference in OS was observed (19.4 months vs 15.0 months, P = 0.077). In the Group B, chemotherapy combined immunotherapy with antiangiogenic therapy showed better PFS than chemotherapy plus immunotherapy (14.1 months vs 7.7 months, P = 0.049), and OS also showed that tendency of difference (31.9 months vs 19.3 months, P = 0.158). There was no statistically significant difference between KRAS G12C and non-G12C mutation according to first-line treatment methods, whereas patients with TP53 co-mutation showed a better survival benefit (OS, 23.7 vs 12.5 months, P = 0.023).

Conclusion

In the first-line treatment, combination regimen has advantages over single regimen. Among them, chemotherapy combined with immunotherapy plus antiangiogenic therapy can achieve significant efficacy benefits.