Cancer Investigation最新文献_第2页

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

Artificial intelligence in Cancer Clinical Research: IV. Inherent Limitations of Artificial Intelligence. 癌症临床研究中的人工智能：IV.人工智能固有的局限性。

IF 1.8 4区医学

Cancer Investigation Pub Date : 2024-10-01 Epub Date: 2024-10-11 DOI: 10.1080/07357907.2024.2412449

Gary H Lyman, Nicole M Kuderer

引用次数: 0

Flamingo Search Sailfish Optimizer Based SqueezeNet for Detection of Breast Cancer Using MRI Images. 基于 Flamingo Search Sailfish Optimizer 的 SqueezeNet 利用核磁共振成像检测乳腺癌。

IF 1.8 4区医学

Cancer Investigation Pub Date : 2024-10-01 Epub Date: 2024-09-20 DOI: 10.1080/07357907.2024.2403088

P Vijaya, Satish Chander, Roshan Fernandes, Anisha P Rodrigues, Maheswari Raja

{"title":"Flamingo Search Sailfish Optimizer Based SqueezeNet for Detection of Breast Cancer Using MRI Images.","authors":"P Vijaya, Satish Chander, Roshan Fernandes, Anisha P Rodrigues, Maheswari Raja","doi":"10.1080/07357907.2024.2403088","DOIUrl":"10.1080/07357907.2024.2403088","url":null,"abstract":"Breast cancer with increased risk in women is identified with Breast Magnetic Resonance Imaging (Breast MRI) and this helps in evaluating treatment therapies. Breast MRI is time time-consuming process that involves the assessment of current imaging. This research work depends on the detection of breast cancer at the earlier stages. Among various cancers, breast cancer in women occurs in larger accounts for almost 30% of estimated cancer cases. In this research, many steps are followed for breast cancer detection like pre-processing, segmentation, augmentation, extraction of features, and cancer detection. Here, the median filter is utilized for pre-processing, as well as segmentation is followed after pre-processing, which is done by Psi-Net. Moreover, the process of augmentation like shearing, translation, and cropping are followed after segmentation. Also, the segmented image tends to process feature extraction, where features like shape features, Completed Local Binary Pattern (CLBP), Pyramid Histogram of Oriented Gradients (PHOG), and statistical features are extracted. Finally, breast cancer is detected using the DL model, SqueezeNet. Here, the newly devised Flamingo Search SailFish Optimizer (FSSFO) is used in training Psi-Net as well as SqueezeNet. Furthermore, FSSFO is the combination of both the Flamingo Search Algorithm (FSA) and SailFish Optimizer (SFO).","PeriodicalId":9463,"journal":{"name":"Cancer Investigation","volume":" ","pages":"745-768"},"PeriodicalIF":1.8,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142280525","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

The Relationship Between Body Image and Meaning of Life Among Women with Breast Cancer in Kerman, Iran. 伊朗克尔曼患乳腺癌妇女的身体形象与生活意义之间的关系。

IF 1.8 4区医学

Cancer Investigation Pub Date : 2024-09-01 Epub Date: 2024-08-07 DOI: 10.1080/07357907.2024.2371369

Mina Mahmoodabadi, Zohreh Khoshnood, Behjat Kalantari Khandani

引用次数: 0

TTYH3 Promotes Cervical Cancer Progression by Activating the Wnt/β-Catenin Signaling Pathway. TTYH3通过激活Wnt/β-Catenin信号通路促进宫颈癌进展

IF 1.8 4区医学

Cancer Investigation Pub Date : 2024-09-01 Epub Date: 2024-08-27 DOI: 10.1080/07357907.2024.2395014

Xiuyan Huang, Qing Li, Xiaoxia Zheng, Chen Jiang

引用次数: 0

Liver Cancer Diagnosis: Enhanced Deep Maxout Model with Improved Feature Set. 肝癌诊断：改进特征集的增强型深度 Maxout 模型

IF 1.8 4区医学

Cancer Investigation Pub Date : 2024-09-01 Epub Date: 2024-08-27 DOI: 10.1080/07357907.2024.2391359

Vinnakota Sai Durga Tejaswi, Venubabu Rachapudi

{"title":"Liver Cancer Diagnosis: Enhanced Deep Maxout Model with Improved Feature Set.","authors":"Vinnakota Sai Durga Tejaswi, Venubabu Rachapudi","doi":"10.1080/07357907.2024.2391359","DOIUrl":"10.1080/07357907.2024.2391359","url":null,"abstract":"This work proposed a liver cancer classification scheme that includes Preprocessing, Feature extraction, and classification stages. The source images are pre-processed using Gaussian filtering. For segmentation, this work proposes a LUV transformation-based adaptive thresholding-based segmentation process. After the segmentation, certain features are extracted that include multi-texon based features, Improved Local Ternary Pattern (LTP-based features), and GLCM features during this phase. In the Classification phase, an improved Deep Maxout model is proposed for liver cancer detection. The adopted scheme is evaluated over other schemes based on various metrics. While the learning rate is 60%, an improved deep maxout model achieved a higher F-measure value (0.94) for classifying liver cancer; however, the previous method like Support Vector Machine (SVM), Random Forest (RF), Recurrent Neural Network (RNN), Long Short Term Memory (LSTM), K-Nearest Neighbor (KNN), Deep maxout, Convolutional Neural Network (CNN), and DL model holds less F-measure value. An improved deep maxout model achieved minimal False Positive Rate (FPR), and False Negative Rate (FNR) values with the best outcomes compared to other existing models for liver cancer classification.","PeriodicalId":9463,"journal":{"name":"Cancer Investigation","volume":" ","pages":"710-725"},"PeriodicalIF":1.8,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142072104","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

Cognitive Dysfunction in Non-CNS Metastatic Cancer: Comparing Brain Metastasis, Non-CNS Metastasis, and Healthy Controls. 非中枢神经系统转移性癌症的认知功能障碍：比较脑转移癌、非中枢神经系统转移癌和健康对照组

IF 1.8 4区医学

Cancer Investigation Pub Date : 2024-09-01 Epub Date: 2024-07-15 DOI: 10.1080/07357907.2024.2371368

Christopher Collette, Gabrielle Willhelm, Victor A Del Bene, Stephen L Aita, Dario Marotta, Terina Myers, Joseph Anderson, Meredith Gammon, Adam Gerstenecker, L Burt Nabors, John Fiveash, Kristen L Triebel

引用次数: 0