Cancer Investigation最新文献

Transforming Skin Cancer Diagnosis: A Deep Learning Approach with the Ham10000 Dataset. 改变皮肤癌诊断：利用 Ham10000 数据集的深度学习方法。

IF 1.8 4区医学

Cancer Investigation Pub Date : 2024-11-01 Epub Date: 2024-11-10 DOI: 10.1080/07357907.2024.2422602

Priyeshkumar A T, Shyamala G, Vasanth T, Ponniyin Selvan V

{"title":"Transforming Skin Cancer Diagnosis: A Deep Learning Approach with the Ham10000 Dataset.","authors":"Priyeshkumar A T, Shyamala G, Vasanth T, Ponniyin Selvan V","doi":"10.1080/07357907.2024.2422602","DOIUrl":"10.1080/07357907.2024.2422602","url":null,"abstract":"Skin cancer (SC) is one of the three most common cancers worldwide. Melanoma has the deadliest potential to spread to other parts of the body among all SCs. For SC treatments to be effective, early detection is essential. The high degree of similarity between tumor and non-tumors makes SC diagnosis difficult even for experienced doctors. To address this issue, authors have developed a novel Deep Learning (DL) system capable of automatically classifying skin lesions into seven groups: actinic keratosis (AKIEC), melanoma (MEL), benign keratosis (BKL), melanocytic Nevi (NV), basal cell carcinoma (BCC), dermatofibroma (DF), and vascular (VASC) skin lesions. Authors introduced the Multi-Grained Enhanced Deep Cascaded Forest (Mg-EDCF) as a novel DL model. In this model, first, researchers utilized subsampled multigrained scanning (Mg-sc) to acquire micro features. Second, authors employed two types of Random Forest (RF) to create input features. Finally, the Enhanced Deep Cascaded Forest (EDCF) was utilized for classification. The HAM10000 dataset was used for implementing, training, and evaluating the proposed and Transfer Learning (TL) models such as ResNet, AlexNet, and VGG16. During the validation and training stages, the performance of the four networks was evaluated by comparing their accuracy and loss. The proposed method outperformed the competing models with an average accuracy score of 98.19%. Our proposed methodology was validated against existing state-of-the-art algorithms from recent publications, resulting in consistently greater accuracies than those of the classifiers.","PeriodicalId":9463,"journal":{"name":"Cancer Investigation","volume":" ","pages":"801-814"},"PeriodicalIF":1.8,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142614264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Attenuated Total Reflection-Fourier Transform Infrared (ATR-FTIR) Spectroscopy Analysis of Saliva as a Diagnostic Specimen for Rapid Classification of Oral Squamous Cell Carcinoma Using Chemometrics Methods. 使用化学计量学方法对作为诊断样本的唾液进行衰减全反射-傅立叶变换红外光谱分析，以快速对口腔鳞状细胞癌进行分类。

IF 1.8 4区医学

Cancer Investigation Pub Date : 2024-11-01 Epub Date: 2024-10-01 DOI: 10.1080/07357907.2024.2403086

Mohammad Mahdi Khanmohammadi Khorrami, Nozhan Azimi, Maryam Koopaie, Mahsa Mohammadi, Soheila Manifar, Mohammadreza Khanmohammadi Khorrami

{"title":"Attenuated Total Reflection-Fourier Transform Infrared (ATR-FTIR) Spectroscopy Analysis of Saliva as a Diagnostic Specimen for Rapid Classification of Oral Squamous Cell Carcinoma Using Chemometrics Methods.","authors":"Mohammad Mahdi Khanmohammadi Khorrami, Nozhan Azimi, Maryam Koopaie, Mahsa Mohammadi, Soheila Manifar, Mohammadreza Khanmohammadi Khorrami","doi":"10.1080/07357907.2024.2403086","DOIUrl":"10.1080/07357907.2024.2403086","url":null,"abstract":"Background & aim: Recent advancements in analytical techniques have highlighted the potential of Attenuated Total Reflection-Fourier Transform Infrared (ATR-FTIR) spectroscopy as a quick, cost-effective, non-invasive, and efficient tool for cancer diagnosis. This study aims to evaluate the effectiveness of ATR-FTIR spectroscopy in combination with supervised machine learning classification models for diagnosing OSCC using saliva samples.Methods & materials: Eighty unstimulated whole saliva samples from OSCC patients and healthy controls were collected. The ATR-FTIR spectroscopy was performed and spectral data were used to classify healthy and OSCC groups. The data were analyzed using machine learning classification methods such as Partial Least Squares-Discriminant Analysis (PLS-DA) and Support Vector Machine Classification (SVM-C). The classification performance of the models was evaluated by computing sensitivity, specificity, precision, and accuracy.Results: The samples were classified into two classes based on their spectral data. The obtained results demonstrate a high level of accuracy in the prediction sets of the PLS-DA and SVM-C models, with accuracy values of 0.960 and 0.962, respectively. The OSCC group sensitivity values for both PLS-DA and SVM-C models was 1.00, respectively.Conclusion: The study indicates that ATR-FTIR spectroscopy, combined with chemometrics, is a potential method for the non-invasive diagnosis of OSCC using saliva samples. This method achieved high accuracy and the findings of this study suggest that ATR-FTIR spectroscopy could be further developed for clinical applications in OSCC diagnosis.","PeriodicalId":9463,"journal":{"name":"Cancer Investigation","volume":" ","pages":"815-826"},"PeriodicalIF":1.8,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142361174","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Construction and Validation of a Novel T/NK-Cell Prognostic Signature for Pancreatic Cancer Based on Single-Cell RNA Sequencing. 基于单细胞 RNA 测序的新型胰腺癌 T/NK 细胞预后特征的构建与验证

IF 1.8 4区医学

Cancer Investigation Pub Date : 2024-11-01 Epub Date: 2024-11-10 DOI: 10.1080/07357907.2024.2424328

Yu Wang, Cong Zhang, Jianlu Zhang, Haoran Huang, Junchao Guo

{"title":"Construction and Validation of a Novel T/NK-Cell Prognostic Signature for Pancreatic Cancer Based on Single-Cell RNA Sequencing.","authors":"Yu Wang, Cong Zhang, Jianlu Zhang, Haoran Huang, Junchao Guo","doi":"10.1080/07357907.2024.2424328","DOIUrl":"10.1080/07357907.2024.2424328","url":null,"abstract":"Background: Evidence with regards to the distinction between primary and metastatic tumors in pancreatic cancer and driving factors for metastases remains limited.Methods: Single-cell RNA sequencing (scRNA-seq) was conducted on metastatic pancreatic cancer. Bioinformatics analysis on relevant sequencing data was used to construct a risk model to predict patient prognosis. Furthermore, immune infiltration and metabolic differences were assessed. The biological function of key differential genes was evaluated.Results: Paired primary and metastatic tumor tissues from 3 pancreatic cancer patients were collected and conducted scRNA-seq. Subsequently, the T/NK cell subgroup was the most different cell type between primary tumors and liver metastases and was selected for further analysis. Eventually, 6 specifically expressed genes of T/NK cells (B2M, ZFP36L2, ANXA1, ARL4C, TSPYL2, FYN) were used constructing the prognostic model. The stability of this model was validated by an external cohort. Meanwhile, different immune infiltration abundances occurred between high and low risk groups stratified by the model. The high-risk group had a stronger metabolic capability.Conclusions: A novel prognostic T/NK-cell signature for pancreatic cancer was constructed based on scRNA-seq data and externally validated. The involved key genes may play a role in multiple metabolic pathways of metastasis and affect the tumor immune microenvironment.","PeriodicalId":9463,"journal":{"name":"Cancer Investigation","volume":" ","pages":"876-892"},"PeriodicalIF":1.8,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142613738","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Identification of Immune-Related Gene Pair Signature to Predict Prognosis of Diffuse Large B-Cell Lymphoma Based on Bioinformatics Analyses. 基于生物信息学分析鉴定用于预测弥漫大 B 细胞淋巴瘤预后的免疫相关基因对签名

IF 1.8 4区医学

Cancer Investigation Pub Date : 2024-11-01 Epub Date: 2024-09-23 DOI: 10.1080/07357907.2024.2405184

Zeinab Davoodi-Moghaddam, Farideh Jafari-Raddani, Davood Bashash

引用次数: 0

Once-a-Week Ablative Radiotherapy as Replacement of Prolonged Fractionation in Frail Patients: Feasibility and Toxicity Results. 用每周一次的烧蚀放疗替代对体弱患者的长期分次放疗：可行性和毒性结果

IF 1.8 4区医学

Cancer Investigation Pub Date : 2024-11-01 Epub Date: 2024-11-06 DOI: 10.1080/07357907.2024.2425729

Liliana Belgioia, Camilla Satragno, Gladys Blandino, Alessandra Fozza, Flavio Giannelli, Michela Marcenaro, Giulia Vidano, Federica Picichè, Francesco Lanfranchi, Alberto Tagliafico, Gianmario Sambuceti, Matteo Bauckneht, Giorgia Timon

{"title":"Once-a-Week Ablative Radiotherapy as Replacement of Prolonged Fractionation in Frail Patients: Feasibility and Toxicity Results.","authors":"Liliana Belgioia, Camilla Satragno, Gladys Blandino, Alessandra Fozza, Flavio Giannelli, Michela Marcenaro, Giulia Vidano, Federica Picichè, Francesco Lanfranchi, Alberto Tagliafico, Gianmario Sambuceti, Matteo Bauckneht, Giorgia Timon","doi":"10.1080/07357907.2024.2425729","DOIUrl":"10.1080/07357907.2024.2425729","url":null,"abstract":"Introduction: The aim of this work was to explore the use of an original once-weekly radiotherapy fractionation in elderly or frail patients with recurrence or metastasis from different solid malignancies.Material and methods: A retrospective analysis was conducted on 29 patients treated from 2011 to 2019 with a once-weekly radiotherapy schedule. Patients received a median dose of 27.5 Gy, with weekly fractions of 4-5 Gy over 7-10 weeks. The treatment aimed at both palliative and cytoreductive objectives. Primary endpoints were feasibility and compliance, secondary outcome was acute toxicity.Results: All patients completed the planned radiotherapy without interruptions. Acute toxicity was mild, with only one patient developing grade 3 toxicity (bowel perforation). Three months post-treatment, 74% of patients experienced symptom relief and tumor response. One-year local control rates were 26.7%, and treatment was generally well-tolerated.Conclusion: This once-weekly hypofractionated radiotherapy regimen demonstrated feasibility, good tolerance, and promising tumor response in frail and elderly patients. Although limited by a small sample size, the approach offers a practical alternative for patients unable to undergo conventional daily radiotherapy. Further studies on larger cohorts are required to validate these findings.","PeriodicalId":9463,"journal":{"name":"Cancer Investigation","volume":" ","pages":"893-898"},"PeriodicalIF":1.8,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142581668","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Glucose Metabolism and Glucose Transporters in Head and Neck Squamous Cell Carcinoma. 头颈部鳞状细胞癌中的葡萄糖代谢和葡萄糖转运体

IF 1.8 4区医学

Cancer Investigation Pub Date : 2024-11-01 Epub Date: 2024-09-26 DOI: 10.1080/07357907.2024.2407424

Yanyan Ye, Zaizai Cao

引用次数: 0

Advance of Circulating Tumor Cells in the Prognosis and Management of Endometrial Cancer. 循环肿瘤细胞在子宫内膜癌的预后和治疗中的作用。

IF 1.8 4区医学

Cancer Investigation Pub Date : 2024-11-01 Epub Date: 2024-11-12 DOI: 10.1080/07357907.2024.2422607

Hongli Li, Chang Liu, Jing Wang, Feixue Xu, Yongxiu Yang, Xiaolei Liang

引用次数: 0

Prognostic Significance of Combining Cytokeratin-19, E-Cadherin and Ki-67 Analysis in Triple-Negative Breast Cancer with Basal-Like and Non-Basal-Like Phenotype. 结合细胞角蛋白-19、E-Cadherin 和 Ki-67 分析对具有基底样和非基底样表型的三阴性乳腺癌的预后意义

IF 1.8 4区医学

Cancer Investigation Pub Date : 2024-10-01 Epub Date: 2024-10-22 DOI: 10.1080/07357907.2024.2416166

Zahra Klayech, Adnene Moussa, Moufida Souid, Rim Hadhri, Souad Miled, Sallouha Gabbouj, Yassmine Remadi, Raja Faleh, Noureddine Bouaouina, Abdelfattah Zakhama, Elham Hassen

{"title":"Prognostic Significance of Combining Cytokeratin-19, E-Cadherin and Ki-67 Analysis in Triple-Negative Breast Cancer with Basal-Like and Non-Basal-Like Phenotype.","authors":"Zahra Klayech, Adnene Moussa, Moufida Souid, Rim Hadhri, Souad Miled, Sallouha Gabbouj, Yassmine Remadi, Raja Faleh, Noureddine Bouaouina, Abdelfattah Zakhama, Elham Hassen","doi":"10.1080/07357907.2024.2416166","DOIUrl":"10.1080/07357907.2024.2416166","url":null,"abstract":"Triple-negative breast cancer (TNBC) is known to have the worst outcome compared to the other forms of breast cancer. Moreover, molecular markers identified basal-like breast cancer (BLBC) phenotypes to be also related to a worse prognosis. In this study, we evaluated by immunohistochemistry (IHC) the prognostic significance of combining Cytokeratin-19 (CK19), E-cadherin, and Ki-67 tissue expression in triple-negative breast cancer (TNBC) cases presenting a basal-like (BLBC) or a non-basal-like (n-BLBC) phenotype to improve the selection and the monitoring of BC patients with a more aggressive outcome. Herein, when compared to n-BLBC, patients with BLBC showed a positive correlation with lymph node metastasis occurrence and lower survival rates. Immunohistochemistry analysis revealed significantly lower E-cadherin prevalence and higher prevalence of both CK19 and Ki-67 in BLBC when compared to n-BLBC. Spearman correlation showed that E-cadherin is negatively and significantly correlated to CK19 and Ki-67 expressions. Moreover, in BLBC, expressing both CK19 and Ki-67 combined with E-cadherin loss was associated with the worst relapse-free and overall survival. In conclusion, TNBC/BLBC phenotypes simultaneously losing E-cadherin and overexpressing CK19 and Ki-67 markers are the most aggressive forms. This combined analysis could be a predictive marker of poor prognosis.","PeriodicalId":9463,"journal":{"name":"Cancer Investigation","volume":" ","pages":"769-781"},"PeriodicalIF":1.8,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142458698","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Efficacy and Safety of First-Line Platinum-Based Doublet Chemotherapy in Advanced Primary Pulmonary Salivary Gland Tumors (PSGTs). 晚期原发性肺唾液腺肿瘤（PSGTs）一线铂基双联化疗的有效性和安全性

IF 1.8 4区医学

Cancer Investigation Pub Date : 2024-10-01 Epub Date: 2024-09-16 DOI: 10.1080/07357907.2024.2399046

Zheng Shi, Xiaohong Zeng, Wei Sun, Manyi Xu, Keda Shao, Jingwen Wei, Chunwei Xu, Zhengbo Song

引用次数: 0

Use of Antiperspirant Products and Risk of Breast Cancer: A Meta-Analysis of Case-Control Studies. 使用止汗剂产品与乳腺癌风险：病例对照研究的元分析》（Meta-Analysis of Case-Control Studies）。

IF 1.8 4区医学

Cancer Investigation Pub Date : 2024-10-01 Epub Date: 2024-09-26 DOI: 10.1080/07357907.2024.2405864

Thao Thi Kim Trinh, Seung-Kwon Myung, Tien Hoang Tran, Kui Son Choi

引用次数: 0