BMC Cancer最新文献

{"title":"Assessing the risk of undetected cervical cancer in women with a biopsy of high-grade cervical intraepithelial neoplasia: predictive value of cytology and endocervical curettage (ECC).","authors":"Xiaoxi Yao, Mingrong Qie, Leni Kang, Mengyao Li, Qingyu Liu, Xiao Liang, Guangdong Liao","doi":"10.1186/s12885-025-14565-3","DOIUrl":"10.1186/s12885-025-14565-3","url":null,"abstract":"<p><strong>Objective: </strong>To identify risk factors for a final diagnosis of cervical cancer in patients initially diagnosed with high-grade cervical intraepithelial neoplasia and to evaluate a combined Cytology-Endocervical Curettage (ECC) index for predicting cancer risk.</p><p><strong>Methods: </strong>This retrospective study included 11,651 patients at West China Second University Hospital (WCSUH) with biopsy-confirmed high-grade cervical intraepithelial neoplasia over a five-year period. Patients were divided into two groups based on whether they ultimately received a diagnosis of cervical cancer following surgery. Multivariate logistic regression was used to identify independent risk factors, and receiver operating characteristic (ROC) curves were constructed to assess the performance of the Cytology-ECC index.</p><p><strong>Results: </strong>Of the 11,651 patients, 229 were subsequently diagnosed with cervical cancer. Multivariate analysis identified age (OR = 1.10, 95% CI: 1.06-1.14), abnormal vaginal bleeding (OR = 2.94, 95% CI: 1.75-4.92), human papillomavirus (HPV)16/18 infection (OR = 2.56, 95% CI: 1.62-4.03), single HPV type infection (OR = 1.68, 95% CI: 1.03-2.75), atypical squamous cells, cannot exclude HSIL (ASC-H) (OR = 3.77, 95% CI: 1.68-8.45), high-grade squamous intraepithelial lesion (HSIL) (OR = 4.65, 95% CI: 2.16-10.05), and endocervical glandular involvement (OR = 1.59, 95% CI: 1.01-2.49) as independent risk factors (all P < 0.05). The Cytology-ECC index demonstrated a predictive accuracy with an area under the curve (AUC) of 0.787, outperforming cytology or ECC alone.</p><p><strong>Conclusions: </strong>Age, abnormal vaginal bleeding, HPV16/18, single HPV type infection, ASC-H, HSIL, and endocervical glandular involvement were independent predictors of cervical cancer in patients with an initial biopsy of high-grade cervical intraepithelial neoplasia. The combined Cytology-ECC index showed enhanced predictive value in clinical decision-making and may aid in earlier identification of patients at elevated risk for undetected invasive disease.</p>","PeriodicalId":9131,"journal":{"name":"BMC Cancer","volume":"25 1","pages":"1238"},"PeriodicalIF":3.4,"publicationDate":"2025-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12309198/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144741094","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Clinical benefits of enhanced 3D-NEVERview sequence in MRI simulation for nasopharyngeal carcinoma patients received radiotherapy.","authors":"Yuanyuan Li, Yin Zhang, Ran Tang, Anyan Gu, Zhenyu Pan, Guozi Yang, Yaotao Li, Yu Wu, Zhuocheng Li, Lixiang Yang, Zhitao Dai, Xingru Sun","doi":"10.1186/s12885-025-14695-8","DOIUrl":"10.1186/s12885-025-14695-8","url":null,"abstract":"<p><strong>Background and purpose: </strong>To test whether the enhanced 3D-NEVERview (3D-NEVERview + C) sequence improves delineation accuracy and allows clinically meaningful dose reductions to the brachial plexus of nasopharyngeal carcinoma (NPC) with cervical lymph node metastasis in radiotherapy during MRI simulation.</p><p><strong>Materials and methods: </strong>Fifty NPC patients with cervical lymph node metastasis were enrolled. The contrast-to-noise ratio (CNR), signal-to-noise ratio (SNR), and contrast ratio (CR) of brachial plexus were compared between two different sequences. The volumes of brachial plexus delineated automatically (V_auto-L, V_auto-R) and manually (V_BP-L, V_BP-R) were performed statistical comparisons. Radiotherapy plans were categorized into original plans (without dose constraints on the brachial plexus) and optimized plans (with dose constraints). The volumes receiving 60 Gy (V₆₀) and 66 Gy (V₆₆), maximum dose (D_max) and mean dose (D_mean) to brachial plexus were analyzed statistically.</p><p><strong>Results: </strong>CNR, SNR, and CR between two sequences showed statistical significance (P < 0.05). The volumes of V_auto-L, V_auto-R, V_BP-L and V_BP-R were (2.38 ± 0.78) cm³, (2.40 ± 0.87) cm³, (27.07 ± 5.32) cm³ and (27.00 ± 5.74) cm³, respectively, with significant differences (P < 0.001). The V₆₀ and V₆₆, D_max and D_mean of brachial plexus also differed significantly between the original and optimized plans (P < 0.05).</p><p><strong>Conclusion: </strong>The 3D-NEVERview + C sequence significantly enhances the CR, thereby providing a clearer location of brachial plexus. In NPC patients with cervical lymph node metastasis, excessive doses to brachial plexus frequently occurred. Protecting brachial plexus during radiotherapy is crucial for reducing the risk of nerve injury. Therefore, incorporating the 3D-NEVERview + C sequence in MRI-sim is highly recommended.</p>","PeriodicalId":9131,"journal":{"name":"BMC Cancer","volume":"25 1","pages":"1232"},"PeriodicalIF":3.4,"publicationDate":"2025-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12308961/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144741175","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Imaging classification and surgical strategy of retroperitoneal vascular leiomyosarcoma: experience from a single medical center.","authors":"Bin Yang, Xun Zhao, Guoliang Wang, Hongxian Zhang, Lulin Ma, Lei Liu, Shudong Zhang","doi":"10.1186/s12885-025-14287-6","DOIUrl":"10.1186/s12885-025-14287-6","url":null,"abstract":"<p><strong>Background: </strong>Retroperitoneal vascular leiomyosarcoma (RVLMS), which originates from vascular wall smooth muscle cells, typically requires inferior vena cava (IVC) reconstruction during radical surgery.</p><p><strong>Methods: </strong>A retrospective cohort study was conducted on 24 patients who underwent primary resection of RVLMS from June 2015 to November 2023 in one institution. The patient details, operative management, and follow-up data were assessed.</p><p><strong>Results: </strong>Regarding the imaging classification of RVLMS, 6 patients were intraluminal type, 9 patients were intermediate type, 4 patients were extraluminal type, and 5 patients were peripheral type. The median tumor size was 80 mm (interquartile range, IQR 63-105 mm). The median operative time was 294 min. The median blood loss was 650 ml. There were significant differences in operation time, blood loss, blood transfusion, and Intensive Care Unit admission rate among the four types of RVLMS. The procedures of vascular reconstruction included primary repair (n = 15), patch angioplasty (n = 2), and IVC ligation (n = 4). 3 patients suffered an R1/R2 margin. With a median follow-up time of 12.5 months, 5 patients developed local recurrence while 7 patients developed distant metastasis. 1 patient had both local recurrence and distant metastasis. The median disease-free survival was 19.0 months (IQR 7.0-59.0 months).</p><p><strong>Conclusion: </strong>A reasonable surgical strategy of vascular resection and reconstruction in the context of RVLMS surgery was of value in achieving good postoperative outcomes and long-term survival. The imaging classification of RVLMS might help to evaluate the surgical complexity and the prognosis.</p>","PeriodicalId":9131,"journal":{"name":"BMC Cancer","volume":"25 1","pages":"1241"},"PeriodicalIF":3.4,"publicationDate":"2025-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12309041/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144741190","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A data assimilation framework for predicting the spatiotemporal response of high-grade gliomas to chemoradiation.","authors":"Hugo J M Miniere, David A Hormuth, Ernesto A B F Lima, Maguy Farhat, Bikash Panthi, Holly Langshaw, Mihir D Shanker, Wasif Talpur, Sara Thrower, Jodi Goldman, Sophia Ty, Caroline Chung, Thomas E Yankeelov","doi":"10.1186/s12885-025-14557-3","DOIUrl":"10.1186/s12885-025-14557-3","url":null,"abstract":"<p><strong>Background: </strong>High-grade gliomas are highly invasive and respond variably to chemoradiation. Accurate, patient-specific predictions of tumor response could enhance treatment planning. We present a novel computational platform that assimilates MRI data to continually predict spatiotemporal tumor changes during chemoradiotherapy.</p><p><strong>Methods: </strong>Tumor growth and response to chemoradiation was described using a two-species reaction-diffusion model of enhancing and non-enhancing regions of the tumor. Two evaluation scenarios were used to test the predictive accuracy of this model. In scenario 1, the model was calibrated on a patient-specific basis (n = 21) to weekly MRI data during the course of chemoradiotherapy. A data assimilation framework was used to update model parameters with each new imaging visit which were then used to update model predictions. In scenario 2, we evaluated the predictive accuracy of the model when fewer data points are available by calibrating the same model using only the first two imaging visits and then predicted tumor response at the remaining five weeks of treatment. We investigated three approaches to assign model parameters for scenario 2: (1) predictions using only parameters estimated by fitting the data obtained from an individual patient's first two imaging visits, (2) predictions made by averaging the patient-specific parameters with the cohort-derived parameters, and (3) predictions using only cohort-derived parameters.</p><p><strong>Results: </strong>Scenario 1 achieved a median [range] concordance correlation coefficient (CCC) between the predicted and measured total tumor cell counts of 0.91 [0.84, 0.95], and a median [range] percent error in tumor volume of -2.6% [-19.7, 8.0%], demonstrating strong agreement throughout the course of treatment. For scenario 2, the three approaches yielded CCCs of: (1) 0.65 [0.51, 0.88], (2) 0.74 [0.70, 0.91], (3) 0.76 [0.73, 0.92] with significant differences between the approach (1) that does not use the cohort parameters and the two approaches (2 and 3) that do.</p><p><strong>Conclusions: </strong>The proposed data assimilation framework enhances the accuracy of tumor growth forecasts by integrating patient-specific and cohort-based data. These findings show a practical method for identifying more personalized treatment strategies in high-grade glioma patients.</p>","PeriodicalId":9131,"journal":{"name":"BMC Cancer","volume":"25 1","pages":"1239"},"PeriodicalIF":3.4,"publicationDate":"2025-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12308963/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144741093","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The application and predictive value of the weight-adjusted-waist index in BC prevalence assessment: a comprehensive statistical and machine learning analysis using NHANES data.","authors":"Wenjing Wang, Biao Wu, Jian Li, Yibiao Shang, Mengting Liu, Qi Fang, Han Zhang, Xiang Li, Dongdi Wu","doi":"10.1186/s12885-025-14651-6","DOIUrl":"10.1186/s12885-025-14651-6","url":null,"abstract":"<p><strong>Background: </strong>Obesity is a known risk factor for breast cancer (BC), but conventional metrics such as body mass index (BMI) may insufficiently capture central adiposity. The weight-adjusted waist index (WWI) has emerged as a potentially superior anthropometric marker of central adiposity, as it provides a more accurate reflection of fat distribution around the abdomen compared to traditional measures such as BMI. This study aimed to investigate the association between WWI and BC prevalence using data from a nationally representative population in the United States.</p><p><strong>Methods: </strong>A total of 10,760 women aged over 20 years from the 2005-2018 National Health and Nutrition Examination Survey were included. Logistic regression was used to assess the association between WWI and BC prevalence. Multicollinearity was addressed using variance inflation factor diagnostics. Machine learning methods, including random forest and LASSO regression, were employed for variable selection and model comparison. The performance of the models was evaluated using ROC curves, calibration plots, and decision curve analysis.</p><p><strong>Results: </strong>In unadjusted models, WWI was significantly associated with BC (odds ratio (OR) = 1.56; 95% confidence interval (CI): 1.32-1.86). However, in the fully adjusted model, the association with BC was no longer statistically significant (OR = 0.98; 95% CI: 0.75-1.26). Machine learning models ranked WWI as one of the top predictors, with the random forest model retaining WWI as an important variable, while LASSO excluded it. Models based on variables selected by both LASSO and random forest, which included WWI, were built and assessed using ROC curve analysis. The random forest and LASSO models achieved AUCs of 0.795 and 0.79, respectively, demonstrating improved predictive performance. These findings suggest that while WWI may not serve as an independent predictor of BC, it may offer additional value when combined with other key covariates.</p><p><strong>Conclusion: </strong>Although the WWI was related to BC prevalence before multivariable adjustment, it was not significantly linked to BC after adjustment. Given the cross-sectional design and the relatively small sample of BC cases (n = 326), the findings should be viewed with caution. Future research with larger prospective cohorts is needed to confirm these results and explore WWI's role in BC risk stratification. Studies should also investigate whether WWI can serve as a reliable independent predictor of BC in future research, taking into account other factors that may influence the association.</p>","PeriodicalId":9131,"journal":{"name":"BMC Cancer","volume":"25 1","pages":"1234"},"PeriodicalIF":3.4,"publicationDate":"2025-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12309015/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144741176","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"NSUN5 accelerates the progression of liver hepatocellular carcinoma by m5C-EFNA3-mediated glycolysis.","authors":"Yehong Han, Xueqin Deng, Haixia Chen, Jie Chen, Wei Xu, Lanqin Liu","doi":"10.1186/s12885-025-14714-8","DOIUrl":"10.1186/s12885-025-14714-8","url":null,"abstract":"<p><strong>Background: </strong>Aerobic glycolysis is a hallmark of cancers including liver hepatocellular carcinoma (LIHC). RNA m5C methylation is involved in LIHC progression. However, the effect of a m5C writer, NSUN5, on glycolysis in LIHC remains not known. The present study aimed to investigate the effect of NSUN5 on glycolysis in LIHC and the molecular mechanism.</p><p><strong>Methods: </strong>NSUN5 and EFNA3 expression data were acquired from The Cancer Genome Atlas database. Cell viability and glycolysis were evaluated. Tumor growth was evaluated using the xenograft tumor model. The effect of NSUN5 on EFNA3 m5C methylation was evaluated using methylated RNA immunoprecipitation and dual-luciferase reporter assay.</p><p><strong>Results: </strong>We found that NSUN5 and EFNA3 expression was increased in LIHC and related to poor survival. Knocking down NSUN5 inhibited LIHC cell viability and glycolysis in vitro, and inhibited tumor growth and glycolysis in vivo. Moreover, the expression of NSUN5 was positively correlated with that of EFNA3. NSUN5 stabilized EFNA3 by promoting m5C modification of EFNA3. Additionally, overexpression of EFNA3 reversed the inhibition of cell viability and glycolysis induced by NSUN5 silence.</p><p><strong>Conclusion: </strong>Silencing of NSUN5 decelerates LIHC progression by inhibiting glycolysis mediated by EFNA3 with m5C modification, highlighting the potential of NSUN5 as a therapeutic target for LIHC.</p>","PeriodicalId":9131,"journal":{"name":"BMC Cancer","volume":"25 1","pages":"1237"},"PeriodicalIF":3.4,"publicationDate":"2025-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12309100/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144741194","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dual-targeting and steric hindrance resolution in HER2 IHC: a novel approach to improve diagnostic sensitivity.","authors":"Li Luo, Xi Zhang, Linqiong Chen, Zhuohan Chen, Yuchen Wang, Kaihao Huang, Xiaoyun Lin, Hongxiang Zhu, Wangqi Du","doi":"10.1186/s12885-025-14553-7","DOIUrl":"10.1186/s12885-025-14553-7","url":null,"abstract":"<p><strong>Background: </strong>The HER2 immunohistochemistry (IHC) test is an essential method for detecting breast cancer (BC) and plays a pivotal role in guiding personalized treatment strategies. However, inconsistencies persist among different pathologists using IHC, especially for HER2-low and HER2-negative. This may lead to discrepant clinical decisions, potentially impacting patient outcomes. Since HER2 exists in both dimeric and monomeric forms in cells, certain binding sites of diagnostic antibodies on HER2 dimers may be partially obscured in detection. Therefore, accurately detecting HER2 dimers in IHC is crucial for improving diagnostic precision.</p><p><strong>Methods: </strong>We aligned the structures of HER2 heterodimers and Fabs of pertuzumab and trastuzumab binding to HER2, and found they binding in the same region. To overcome the steric hindrance of HER2 dimers, we employed HER2-binding affibody (Aby) and nanobody (Nby) to construct their fusion protein (Nby-Aby) and human heavy chain ferritin (HFn) based nanoparticles (Nby-HFn, Aby-HFn) for detection. Since the Nby and Aby bind HER2 at two distinct regions that are separate from the HER2 dimerization region, effectively minimizing interference from HER2 dimerization in detection. We assessed the detection performance of Nby-Aby in BC tissues and compared it with conventional HER2 diagnostic antibodies using tissue microarrays (TMAs).</p><p><strong>Results: </strong>The Nby-Aby assay had higher detection sensitivity for HER2-positive cells in BC tissues compared to the conventional method. Additionally, significantly higher HER2 scores were observed in most BC tissues on tissue microarrays (TMAs) compared to those diagnosed using the traditional method. These findings suggest that dual-targeting and overcoming steric hindrance in HER2 IHC detection is a promising strategy to enhance diagnostic precision.</p><p><strong>Conclusions: </strong>Dual-targeting different regions and overcoming steric hindrance of HER2 in IHC detection through the Nby-Aby fusion protein enhances diagnostic sensitivity, providing a novel strategy for more accurate HER2 IHC assessment in BC diagnosis.</p>","PeriodicalId":9131,"journal":{"name":"BMC Cancer","volume":"25 1","pages":"1231"},"PeriodicalIF":3.4,"publicationDate":"2025-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12309212/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144741187","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multi-omics analysis of zinc finger protein 683 as a prognostic biomarker for immune infiltration in clear cell renal cell carcinoma.","authors":"Yicheng Guo, Yini Wang, Guixin Ding, Tianqi Wang, Fengze Sun, Xiaohong Ma, Jitao Wu","doi":"10.1186/s12885-025-14643-6","DOIUrl":"10.1186/s12885-025-14643-6","url":null,"abstract":"<p><strong>Background: </strong>The abnormal expression of Zinc Finger Protein 683 (ZNF683) has been implicated in various cancers, yet its role in clear cell renal cell carcinoma (ccRCC) remains underexplored. Understanding the prognostic significance of ZNF683 and its correlation with tumor-infiltrating immune cells in ccRCC could offer insights into its potential as a therapeutic target.</p><p><strong>Methods: </strong>We assessed the expression of ZNF683, its correlation with clinical pathological variables, and clinical outcomes using databases such as The Cancer Genome Atlas (TCGA), Tumor Immune Estimation Resource (TIMER), UALCAN, Gene Expression Profiling Interaction Analysis (GEPIA), and Kaplan-Meier (KM) plotter. Additionally, quantitative reverse transcriptase polymerase chain reaction (qRT-PCR) was used to evaluate ZNF683 transcriptional expression in renal cancer tissues. A comprehensive analysis of multiple databases, including TIMER, GEPIA, TISIDB, the ESTIMATE algorithm, and the CIBERSORT algorithm, was conducted to determine the correlation between ZNF683 and tumor-infiltrating immune cells in ccRCC.</p><p><strong>Results: </strong>Our analysis revealed that ZNF683 mRNA levels were significantly elevated in ccRCC tissues compared to normal tissues. ZNF683 protein was highly expressed in cancer tissues, particularly in renal tumor cells, as indicated by the Human Protein Atlas (HPA). Notably, increased ZNF683 expression was significantly associated with the infiltration of CD8 + T cells, B cells, macrophages, Treg cells, NK cells, and dendritic cells in ccRCC. Bioinformatics analyses demonstrated a strong correlation between ZNF683 expression and several immune checkpoints, including PD-1. This association suggests that ZNF683 might impact the efficacy of immunotherapy in ccRCC. Patients with high ZNF683 expression exhibited reduced sensitivity to immunotherapy.</p><p><strong>Conclusions: </strong>Our study identifies ZNF683 as a significant prognostic biomarker in ccRCC and highlights its correlation with immune cell infiltration. These findings suggest that ZNF683 could play a crucial role in ccRCC progression and response to immunotherapy, warranting further investigation into its potential as a therapeutic target.</p>","PeriodicalId":9131,"journal":{"name":"BMC Cancer","volume":"25 1","pages":"1236"},"PeriodicalIF":3.4,"publicationDate":"2025-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12308924/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144741192","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Lifestyle factors and colorectal cancer prediction: A nomogram-based model.","authors":"Wooin Seo, Se Young Jung, Yeonhoon Jang, Kiheon Lee","doi":"10.1186/s12885-025-14674-z","DOIUrl":"10.1186/s12885-025-14674-z","url":null,"abstract":"<p><strong>Background: </strong>Lifestyle factors are important contributors to the risk of colorectal cancer (CRC). This study developed and validated an age-based CRC risk-prediction model incorporating lifestyle factors using the National Health Insurance Service (NHIS)-National Sample Cohort database.</p><p><strong>Methods: </strong>Individuals who underwent the National Health Examination between 2009 and 2012 were eligible as study participants. Among them, 119,700 (30.38%) were aged 20-39, 190,645 (48.39%) were aged 40-59, and 83,611 (21.22%) were aged ≥ 60. Using the LASSO regression algorithm, we selected risk factors and fitted a Cox proportional hazards model to predict the 10-year CRC incidence. Nomogram-based risk scores were calculated for each age group. Candidate risk factors included sex, age, abdominal obesity, BMI, smoking, alcohol consumption, physical activity, presence of abnormal liver function, hypertension, hypercholesterolemia, and type 2 diabetes mellitus.</p><p><strong>Results: </strong>In each age group, higher risk scores had a higher incidence probability of CRC. In the discriminatory analysis, the concordance indices of the three models ranged from 0.60 to 0.70, indicating moderate discrimination power. The calibration plot from 10-fold cross-validation showed that the observed proportions of events and predicted probabilities overlapped the entire range of probabilities fairly well. Kaplan-Meier plots demonstrated that individuals in the high-risk group were more likely to develop CRC within 10 years than those in the low-risk group.</p><p><strong>Conclusion: </strong>Lifestyle factors were identified as significant predictors of CRC incidence, with slight differences across age groups. Nomogram-based risk scores could be used as a tailored intervention to motivate individuals to modify their lifestyles.</p>","PeriodicalId":9131,"journal":{"name":"BMC Cancer","volume":"25 1","pages":"1240"},"PeriodicalIF":3.4,"publicationDate":"2025-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12308952/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144741191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring research frontiers and emerging trends of tyrosine kinase inhibitors in the treatment of colorectal cancer.","authors":"Xiaosong Li, Zhenlong Chen, Jie Yin, Xiping Shen, Hang Li","doi":"10.1186/s12885-025-14639-2","DOIUrl":"10.1186/s12885-025-14639-2","url":null,"abstract":"<p><strong>Background: </strong>Tyrosine kinase inhibitors (TKIs) are a class of molecular targeted drugs designed to selectively inhibit tyrosine kinase activity associated with oncogenic signaling pathways and drivers, and have emerged as key therapeutic agents for colorectal cancer (CRC). The purpose of this study is to explore the research status and development trend of TKIs in CRC treatment.</p><p><strong>Methods: </strong>The Web of Science Core Collection (WoSCC) database was systematically searched for publications related to TKIs for the treatment of CRC from 2015 to 2024. The CiteSpace visualization software were employed to visualization analysis.</p><p><strong>Results: </strong>A total of 1151 papers published between 2015 and 2024 were included in this study. The USA was the most productive and influential country in this field. The University of Texas System and University of California System were identified as the most productive and most cited institutions, respectively. Cancers has the highest publication volume in this field. Trusolino Livio and Van Cutsem Eric were identified as the most prolific and most frequently co-cited authors, respectively. The article titled \"Epidermal Growth Factor Receptor Cell Proliferation Signaling Pathways\" published in Cancers in 2017, received the highest citation frequency. The emerging keywords that persisted into 2024 include \"microsatellite instability\", \"biological evaluation\", \"drug discovery\", \"inhibitors\", \"regorafenib\", \"immunotherapy\", and \"T-cells\".</p><p><strong>Conclusion: </strong>Current research hotspots include development of novel TKIs, elucidation of TKIs resistance mechanisms and corresponding overcoming strategies, evaluation of TKIs efficacy and safety through biological assessments, and combination of TKIs with immunotherapy. Precision medicine, multimodal combination therapies, and interdisciplinary integration represent the frontier research areas and future development directions.</p>","PeriodicalId":9131,"journal":{"name":"BMC Cancer","volume":"25 1","pages":"1235"},"PeriodicalIF":3.4,"publicationDate":"2025-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12309229/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144741189","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}