Cancer InvestigationPub Date : 2024-07-01Epub Date: 2024-07-05DOI: 10.1080/07357907.2024.2366912
Wei-Na Yang, Xue-Mei Li, Chao-Fan Li, Chuan Chen, Yan Feng, Nan Dai, Yu-Xin Yang, Meng-Xia Li, Chun-Xue Li, Cheng-Yuan Qian, Dong Wang, He Xiao, Jia-Min Luo
{"title":"Gustative Roussy Immune Score is a Predictor for Major Pathological Response in Rectal Cancer: A Result from the Preoperative Intraarterial Chemoembolization Combined with Radiotherapy (PCAR) Study.","authors":"Wei-Na Yang, Xue-Mei Li, Chao-Fan Li, Chuan Chen, Yan Feng, Nan Dai, Yu-Xin Yang, Meng-Xia Li, Chun-Xue Li, Cheng-Yuan Qian, Dong Wang, He Xiao, Jia-Min Luo","doi":"10.1080/07357907.2024.2366912","DOIUrl":"10.1080/07357907.2024.2366912","url":null,"abstract":"<p><p>Despite the emergence of various treatment strategies for rectal cancer based on neoadjuvant chemoradiotherapy, there is currently a lack of reliable biomarkers to determine which patients will respond well to neoadjuvant chemoradiotherapy. Through collecting hematological and biochemical parameters data of patients prior to receiving neoadjuvant chemoradiotherapy, we evaluated the predictive value of systemic inflammatory indices for pathological response and prognosis in rectal cancer patients. We found that baseline GRIm-Score was an independent predictor for MPR in rectal cancer patients. However, no association was observed between several commonly systemic inflammation indices and long-term outcome.</p>","PeriodicalId":9463,"journal":{"name":"Cancer Investigation","volume":" ","pages":"527-537"},"PeriodicalIF":1.8,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141533682","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}
Morvarid Soleiman, Mehrnoosh Fathi-Roudsari, Khosro Khajeh, Amir Maghsoudi
{"title":"Optimization of Epigenetic Modifier Drug Combination for Synergistic Effect against Glioblastoma Multiform Cancer Cell Lines","authors":"Morvarid Soleiman, Mehrnoosh Fathi-Roudsari, Khosro Khajeh, Amir Maghsoudi","doi":"10.1080/07357907.2024.2345183","DOIUrl":"https://doi.org/10.1080/07357907.2024.2345183","url":null,"abstract":"Glioblastoma multiforme (GBM), is a frequent class of malignant brain tumors. Epigenetic therapy, especially with synergistic combinations is highly paid attention for aggressive solid tumors like ...","PeriodicalId":9463,"journal":{"name":"Cancer Investigation","volume":"30 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140829478","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}
{"title":"Artificial Intelligence in Cancer Clinical Research: I. Introduction","authors":"Gary H. Lyman, Nicole M. Kuderer","doi":"10.1080/07357907.2024.2347784","DOIUrl":"https://doi.org/10.1080/07357907.2024.2347784","url":null,"abstract":"Published in Cancer Investigation (Ahead of Print, 2024)","PeriodicalId":9463,"journal":{"name":"Cancer Investigation","volume":"20 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140829752","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}
Cancer InvestigationPub Date : 2024-05-01Epub Date: 2024-02-01DOI: 10.1080/07357907.2024.2309792
Gary H Lyman, Christopher H Lyman, Nicole M Kuderer
{"title":"The Nature, Origin, and Evolution of Life: Part V Bringing It Together: Concepts, Constraints, and Closure.","authors":"Gary H Lyman, Christopher H Lyman, Nicole M Kuderer","doi":"10.1080/07357907.2024.2309792","DOIUrl":"10.1080/07357907.2024.2309792","url":null,"abstract":"","PeriodicalId":9463,"journal":{"name":"Cancer Investigation","volume":" ","pages":"361-364"},"PeriodicalIF":1.8,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139671371","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}
Cancer InvestigationPub Date : 2024-05-01Epub Date: 2024-05-31DOI: 10.1080/07357907.2024.2359987
Yue Hu, Chao Hu
{"title":"Enhancement of Chemotherapy Efficacy in Cervical Cancer via MAPK Pathway Inhibition by Osimertinib.","authors":"Yue Hu, Chao Hu","doi":"10.1080/07357907.2024.2359987","DOIUrl":"10.1080/07357907.2024.2359987","url":null,"abstract":"<p><p>Addressing recurrent cervical cancer poses a substantial challenge. Osimertinib, an FDA-approved EGFR inhibitor, has emerged as a promising option. Our study examined its potential to enhance paclitaxel's efficacy against cervical cancer. Osimertinib effectively hindered cancer cell growth and induced apoptosis across multiple cell lines. Combined with paclitaxel, it exhibited synergy in suppressing cervical cancer cells. Importantly, osimertinib's inhibitory effect was EGFR-independent; it targeted Mnk phosphorylation, reducing eIF4E activity. In mice, the combined osimertinib-paclitaxel treatment surpassed individual drugs in inhibiting cancer growth. These preclinical findings suggest osimertinib's repurposing as a means to improve paclitaxel's effectiveness in cervical cancer treatment.</p>","PeriodicalId":9463,"journal":{"name":"Cancer Investigation","volume":" ","pages":"425-434"},"PeriodicalIF":1.8,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141178315","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}
Cancer InvestigationPub Date : 2024-05-01Epub Date: 2024-05-30DOI: 10.1080/07357907.2024.2354798
Yuchen Wu, Yannan Shen
{"title":"Research Progress on CARM1 and its Relationship with Colorectal Cancer.","authors":"Yuchen Wu, Yannan Shen","doi":"10.1080/07357907.2024.2354798","DOIUrl":"10.1080/07357907.2024.2354798","url":null,"abstract":"<p><p>Coactivator-associated arginine methyltransferase 1 (CARM1) is significant as a key member of the PRMT family, crucial for regulating arginine methylation, and its association with colorectal cancer underscores its potential as a therapeutic target. Consequently, CARM1 inhibitors have emerged as potential therapeutic agents in cancer treatment and valuable chemical tools for cancer research. Despite steady progress in CARM1 inhibitor research, challenges persist in discovering effective, isoform-selective, cell-permeable, and in vivo-active CARM1 inhibitors for colorectal cancer. This review summarizes the research progress on CARM1 and its relationship with colorectal cancer, aiming to provide a theoretical basis for the radiotherapy of colorectal cancer.</p>","PeriodicalId":9463,"journal":{"name":"Cancer Investigation","volume":" ","pages":"435-442"},"PeriodicalIF":2.4,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141174748","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}
Cancer InvestigationPub Date : 2024-05-01Epub Date: 2024-05-24DOI: 10.1080/07357907.2024.2357166
Wafa Bouleftour, Fabien Tinquaut, Ludovic Lafaie
{"title":"Chemotherapy Primary Dose Reduction in Older Cancer Patients: A Retrospective Cohort.","authors":"Wafa Bouleftour, Fabien Tinquaut, Ludovic Lafaie","doi":"10.1080/07357907.2024.2357166","DOIUrl":"10.1080/07357907.2024.2357166","url":null,"abstract":"<p><p>Primary dose reduction (PDR) in the first course of chemotherapy is an empirical practice, commonly used in older population. Patients over 70 years old receiving a first course of chemotherapy for a solid tumor were enrolled. A total of 179 patients were included. Standard dose was used in 69.8% of patients, while 30.2% received PDR of chemotherapy. Only 29.6% received a standardized geriatric assessment. Patients receiving standard doses presented 83.2% of toxicities, while 68% of toxicities were reported in patients receiving PDR. The toxicity rate was significantly decreased in patients treated with reduced first-cycle dose of chemotherapy.</p>","PeriodicalId":9463,"journal":{"name":"Cancer Investigation","volume":" ","pages":"416-424"},"PeriodicalIF":2.4,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141086883","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}
Cancer InvestigationPub Date : 2024-05-01Epub Date: 2024-05-22DOI: 10.1080/07357907.2024.2354809
Omar Elghawy, Reema Patel, Jason Xu, Jonathan Sussman, Bethany Horton, Varinder Kaur
{"title":"Enrollment Trends Among Patients with Melanoma Brain Metastasis in Active Clinical Trials.","authors":"Omar Elghawy, Reema Patel, Jason Xu, Jonathan Sussman, Bethany Horton, Varinder Kaur","doi":"10.1080/07357907.2024.2354809","DOIUrl":"10.1080/07357907.2024.2354809","url":null,"abstract":"<p><p>The CNS is a common site for distant metastasis and treatment failure in melanoma patients. This study aimed to evaluate the inclusion rate of patients with melanoma brain metastases (MBM) in prospective clinical trials. 69.3% of trials excluded MBM patients based on their CNS disease. In univariate analysis, trials not employing immunotherapy (<i>p</i> = 0.0174), inclusion of leptomeningeal disease (<i>p</i> < 0.0001) and non-pharmaceutical sponsor trials (<i>p</i> = 0.0461) were more likely to enroll patients with MBM. Thoughtful reconsideration of clinical trial designs is needed to give patients with MBMs access to promising investigational agents and improve outcomes for patients with MBM.</p>","PeriodicalId":9463,"journal":{"name":"Cancer Investigation","volume":" ","pages":"400-407"},"PeriodicalIF":2.4,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141075548","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}
Cancer InvestigationPub Date : 2024-05-01Epub Date: 2024-05-20DOI: 10.1080/07357907.2024.2345184
B Gunasundari, R Thiagarajan
{"title":"Evaluation of High-Dimensional Data Classification for Skin Malignancy Detection Using DL-Based Techniques.","authors":"B Gunasundari, R Thiagarajan","doi":"10.1080/07357907.2024.2345184","DOIUrl":"10.1080/07357907.2024.2345184","url":null,"abstract":"<p><p>Skin cancer can be detected through visual screening and skin analysis based on the biopsy and pathological state of the human body. The survival rate of cancer patients is low, and millions of people are diagnosed annually. By determining the different comparative analyses, the skin malignancy classification is evaluated. Using the Isomap with the vision transformer, we analyze the high-dimensional images with dimensionality reduction. Skin cancer can present with severe cases and life-threatening symptoms. Overall performance evaluation and classification tend to improve the accuracy of the high-dimensional skin lesion dataset when completed. In deep learning methodologies, the distinct phases of skin malignancy classification are determined by its accuracy, specificity, F1 recall, and sensitivity while implementing the classification methodology. A nonlinear dimensionality reduction technique called Isomap preserves the data's underlying nonlinear relationships intact. This is essential for the categorization of skin malignancies, as the features that separate malignant from benign skin lesions may not be linearly separable. Isomap decreases the data's complexity while maintaining its essential characteristics, making it simpler to analyze and explain the findings. High-dimensional datasets for skin lesions have been evaluated and classified more effectively when evaluated and classified using Isomap with the vision transformer.</p>","PeriodicalId":9463,"journal":{"name":"Cancer Investigation","volume":" ","pages":"365-389"},"PeriodicalIF":2.4,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141064954","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}
Cancer InvestigationPub Date : 2024-05-01Epub Date: 2024-05-21DOI: 10.1080/07357907.2024.2352438
Stephanie Ferguson, Shruthi Sriram, Jonathan Kyle Wallace, Jeonghoon Lee, Jung-Ah Kim, Yoonsuh Lee, Brian Baek-Lok Oh, Won Chul Lee, Sangmoon Lee, Erin Connolly-Strong
{"title":"Analytical and Clinical Validation of a Target-Enhanced Whole Genome Sequencing-Based Comprehensive Genomic Profiling Test.","authors":"Stephanie Ferguson, Shruthi Sriram, Jonathan Kyle Wallace, Jeonghoon Lee, Jung-Ah Kim, Yoonsuh Lee, Brian Baek-Lok Oh, Won Chul Lee, Sangmoon Lee, Erin Connolly-Strong","doi":"10.1080/07357907.2024.2352438","DOIUrl":"10.1080/07357907.2024.2352438","url":null,"abstract":"<p><p>Evaluation of the test performance of the Target enhanced whole-genome sequencing (TE-WGS) assay for comprehensive oncology genomic profiling. The analytical validation of the assay included sensitivity and specificity for single nucleotide variants (SNVs), insertions/deletions (indels), and structural variants (SVs), revealing a revealed a sensitivity of 99.8% for SNVs and 99.2% for indels. The positive predictive value (PPV) was 99.3% SNVs and 98.7% indels. Clinical validation was benchmarked against established orthogonal methods and demonstrated high concordance with reference methods. TE-WGS provides insights beyond targeted panels by comprehensive analysis of key biomarkers and the entire genome encompassing both germline and somatic findings.</p>","PeriodicalId":9463,"journal":{"name":"Cancer Investigation","volume":" ","pages":"390-399"},"PeriodicalIF":2.4,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141075435","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}