{"title":"Risk Models for Predicting the Recurrence and Survival in Patients With Hepatocellular Carcinoma Undergoing Radio-Frequency Ablation.","authors":"Jilin Yang, Lifeng Cui, Wenjian Zhang, Zexin Yin, Shiyun Bao, Liping Liu","doi":"10.1177/11795549231225409","DOIUrl":"10.1177/11795549231225409","url":null,"abstract":"<p><strong>Background: </strong>Hepatocellular carcinoma (HCC) patients have a poor prognosis after radio-frequency ablation (RFA), and investigating the risk factors affecting RFA and establishing predictive models are important for improving the prognosis of HCC patients.</p><p><strong>Methods: </strong>Patients with HCC undergoing RFA in Shenzhen People's Hospital between January 2011 and December 2021 were included in this study. Using the screened independent influences on recurrence and survival, predictive models were constructed and validated, and the predictive models were then used to classify patients into different risk categories and assess the prognosis of different categories.</p><p><strong>Results: </strong>Cox regression model indicated that cirrhosis (hazard ratio [HR] = 1.65), alpha-fetoprotein (AFP) ⩾400 ng/mL (HR = 2.03), tumor number (multiple) (HR = 2.11), tumor diameter ⩾20 mm (HR = 2.30), and platelets (PLT) ⩾ 244 (10<sup>9</sup>/L) (HR = 2.37) were independent influences for recurrence of patients after RFA. On the contrary, AFP ⩾400 ng/mL (HR = 2.48), tumor number (multiple) (HR = 2.52), tumor diameter ⩾20 mm (HR = 2.25), PLT ⩾244 (10<sup>9</sup>/L) (HR = 2.36), and hemoglobin (HGB) ⩾120 (g/L) (HR = 0.34) were regarded as independent influences for survival. The concordance index (C-index) of the nomograms for predicting disease-free survival (DFS) and overall survival (OS) was 0.727 (95% confidence interval [CI] = 0.770-0.684) and 0.770 (95% CI = 0.821-7.190), respectively. The prognostic performance of the nomograms was significantly better than other staging systems by analysis of the time-dependent C-index and decision curves. Each patient was scored using nomograms and influencing factors, and patients were categorized into low-, intermediate-, and high-risk groups based on their scores. In the Kaplan-Meier survival curve, DFS and OS were significantly better in the low-risk group than in the intermediate- and high-risk groups.</p><p><strong>Conclusions: </strong>The 2 prediction models created in this work can effectively predict the recurrence and survival rates of HCC patients following RFA.</p>","PeriodicalId":48591,"journal":{"name":"Clinical Medicine Insights-Oncology","volume":"18 ","pages":"11795549231225409"},"PeriodicalIF":2.2,"publicationDate":"2024-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10851722/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139708276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yingchao Li, Fanjun Meng, Rongrong Cao, Cong Gao, Dongshuai Su, Ke Wang, Jie Han, Xingshun Qi
{"title":"Excellent Bowel Preparation Quality Is Not Superior to Good Bowel Preparation Quality for Improving Adenoma/Polyp Detection Rate.","authors":"Yingchao Li, Fanjun Meng, Rongrong Cao, Cong Gao, Dongshuai Su, Ke Wang, Jie Han, Xingshun Qi","doi":"10.1177/11795549241229190","DOIUrl":"10.1177/11795549241229190","url":null,"abstract":"<p><strong>Background: </strong>Adequate bowel preparation quality is essential for high-quality colonoscopy according to the current guidelines. However, the excellent effect of bowel preparation on adenoma/polyp detection rate (ADR/PDR) remained controversial.</p><p><strong>Methods: </strong>During the period from December 2020 to August 2022, a total of 1566 consecutive patients underwent colonoscopy by an endoscopist. Their medical records were reviewed. According to the Boston bowel preparation scale, patients were divided into excellent, good, and poor bowel preparation quality groups. ADR/PDR, diminutive ADR/PDR, small ADR/PDR, intermediate ADR/PDR, large ADR/PDR, and number of adenomas/polyps were compared among them. Logistic regression analyses were performed to identify the factors that were significantly associated with ADR/PDR.</p><p><strong>Results: </strong>Overall, 1232 patients were included, of whom 463, 636, and 133 were assigned to the excellent, good, and poor groups, respectively. The good group had a significantly higher ADR/PDR (63% vs 55%, <i>P</i> = .015) and a larger number of adenomas/polyps (2.5 ± 3.2 vs 2.0 ± 2.8, <i>P</i> = .030) than the poor group. Both ADR/PDR (63% vs 55%, <i>P</i> = .097) and number of adenomas/polyps (2.2 ± 2.8 vs 2.0 ± 2.8, <i>P</i> = .219) were not significantly different between excellent and poor groups. The excellent (9% vs 4%, <i>P</i> = .045) and good (9% vs 4%, <i>P</i> = .040) groups had a significantly higher intermediate ADR/PDR than the poor group. Logistic regression analyses showed that either good (odds ratio [OR] = 1.786, 95% CI = 1.046-3.047, <i>P</i> = .034) or excellent (OR = 2.179, 95% CI = 1.241-3.826, <i>P</i> = .007) bowel preparation quality was independently associated with a higher ADR/PDR compared with poor bowel preparation quality. Excellent (OR = 1.202, 95% CI = 0.848-1.704, <i>P</i> = .302) bowel preparation quality was not independently associated with a higher ADR/PDR compared with good bowel preparation quality.</p><p><strong>Conclusions: </strong>The pursuit of excellence in bowel preparation does not show an association with increased ADR/PDR and number of adenomas/polyps compared with a good level. In addition, our study further contributes to the existing evidence that poor bowel preparation compromises ADR/PDR and number of adenomas/polyps.</p>","PeriodicalId":48591,"journal":{"name":"Clinical Medicine Insights-Oncology","volume":"18 ","pages":"11795549241229190"},"PeriodicalIF":2.2,"publicationDate":"2024-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10851725/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139708275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Characterization and Survival Benefit of Drug Approvals for Metastatic Prostate Cancer, 2004 to 2022.","authors":"David J Benjamin, Arash Rezazadeh Kalebasty","doi":"10.1177/11795549241227413","DOIUrl":"10.1177/11795549241227413","url":null,"abstract":"","PeriodicalId":48591,"journal":{"name":"Clinical Medicine Insights-Oncology","volume":"18 ","pages":"11795549241227413"},"PeriodicalIF":2.2,"publicationDate":"2024-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10845988/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139698732","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nabil A Hasona, Mahmoud Elsabahy, Olfat G Shaker, Othman Zaki, Ghada Ayeldeen
{"title":"The Implication of Growth Arrest-Specific 5 rs145204276 Polymorphism and Serum Expression of Sirtuin 1, Transforming Growth Factor-Beta, and microRNA-182 in Breast Cancer.","authors":"Nabil A Hasona, Mahmoud Elsabahy, Olfat G Shaker, Othman Zaki, Ghada Ayeldeen","doi":"10.1177/11795549241227415","DOIUrl":"10.1177/11795549241227415","url":null,"abstract":"<p><strong>Background: </strong>Breast cancer (BC) patients have a higher chance of survival if it is diagnosed at an early stage, which is essential for efficient treatment of the condition. The results of an elevated risk of cancer, including BC, previously associated with the ins/del polymorphism rs145204276 in the promoter region of growth arrest-specific 5 (GAS5) are still up for debate. Thus, this study aimed to appraise the frequency of the GAS5 rs145204276 variant with BC risk and demonstrate the potential impact of the sirtuin 1 (SIRT-1), transforming growth factor-beta (TGF-β), and microRNA-182 (miR-182) expression and their diagnostic value in BC.</p><p><strong>Methods: </strong>Blood samples of 155 patients with BC and fibroadenoma and 80 healthy controls were analyzed for GAS5 rs145204276 single nucleotide polymorphism (SNP), SIRT-1, TGF-β, and miRNA-182 expression levels.</p><p><strong>Results: </strong>Ins/ins genotype and ins allele frequencies for GAS5 rs145204276 were considerably higher in BC patients compared with controls. Patients with BC had significantly greater serum levels of TGF-β, miR-182, and SIRT-1 expression.</p><p><strong>Conclusions: </strong>The SIRT-1, TGF-β, and miR-182 genes provide novel, noninvasive diagnostic biomarkers for BC.</p>","PeriodicalId":48591,"journal":{"name":"Clinical Medicine Insights-Oncology","volume":"18 ","pages":"11795549241227415"},"PeriodicalIF":1.9,"publicationDate":"2024-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10846042/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139698735","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shuo Wang, Xiaofeng Mu, Xiaoli Wang, Li Chen, Changyu Lu, Linan Song
{"title":"Peripheral Blood CD8<sup>+</sup> CD28<sup>+</sup> T Cells as an Independent Predictor of Treatment Response and Survival After Concurrent Chemoradiotherapy in Pediatric High-Grade Glioma Patients.","authors":"Shuo Wang, Xiaofeng Mu, Xiaoli Wang, Li Chen, Changyu Lu, Linan Song","doi":"10.1177/11795549241227421","DOIUrl":"10.1177/11795549241227421","url":null,"abstract":"<p><strong>Backgroud: </strong>The tumor immune microenvironment influences the efficiency of concurrent chemoradiotherapy (CCRT) in high-grade glioma (HGG). This study investigated peripheral blood T lymphocyte subsets as clinical indicators of therapeutic response and prognosis in pediatric high-grade glioma (pHGG).</p><p><strong>Methods: </strong>This retrospective study included 77 patients with postoperative pHGG who were treated concurrently with temozolomide and external beam radiotherapy between January 1, 2012, and December 31, 2018. The median follow-up was 26 (range: 5-106) months. Peripheral venous blood samples were collected before and after CCRT. The proportions of peripheral blood T lymphocytes and their association with treatment outcome and survival were determined.</p><p><strong>Results: </strong>Sixty-four (83.1%) patients achieved complete remission, partial remission, and stable disease, and 13 (16.9%) patients had progressive disease. Higher CD3<sup>+</sup> T cell, CD4<sup>+</sup> T cell, and CD8<sup>+</sup> CD28<sup>+</sup> T cell ratios were predictive of better response, while a higher CD8<sup>+</sup> CD28<sup>-</sup> T cell ratio was predictive of poorer response. Binary logistic regression analysis showed that the CD8<sup>+</sup> CD28<sup>+</sup> T cell ratio was a significant independent predictor of CCRT response (odds ratio [OR] = 53.521, 95% confidence interval [CI] = 4.294-667.119, <i>P</i> = .002). Univariate and multivariate analysis of prognostic factors associated with survival showed that the CD8<sup>+</sup> CD28<sup>+</sup> T lymphocyte ratio was a significant independent predictor of progression-free survival (hazard ratio [HR] = 1.80, 95% CI = 1.06-3.08, <i>P</i> = .03), but none of the subsets were significantly associated with overall survival.</p><p><strong>Conclusion: </strong>Peripheral blood T lymphocytes have potential as predictors of CCRT response and prognosis in pHGG.</p>","PeriodicalId":48591,"journal":{"name":"Clinical Medicine Insights-Oncology","volume":"18 ","pages":"11795549241227421"},"PeriodicalIF":2.2,"publicationDate":"2024-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10845990/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139698733","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Utility of <sup>18</sup>F-FDG-PET-CT Metabolic Parameters in Evaluating the Primary Tumor Aggressiveness and Lymph Node Metastasis of Nasopharyngeal Carcinoma.","authors":"Yun Zhang, Yuxiao Hu, Shuang Zhao, Rong Huang","doi":"10.1177/11795549231225419","DOIUrl":"10.1177/11795549231225419","url":null,"abstract":"<p><strong>Background: </strong>Following changes in primary tumor (T) and lymph node (N) staging for nasopharyngeal carcinoma (NPC) in the <i>Eighth Edition AJCC Cancer Staging Manual</i>, simplification of T staging has been proposed. However, a limited range of 2-deoxy-2-[fluorine-18] fluoro-D-glucose positron emission tomography-computed tomography (<sup>18</sup>F-FDG PET-CT) metabolic parameters has been investigated. Therefore, we aimed to evaluate the primary tumor invasiveness and the lymph node metastasis (LNM) of NPC from a metabolic perspective.</p><p><strong>Methods: </strong>A total of 435 NPC patients underwent <sup>18</sup>F-FDG PET/CT before treatment were retrospectively examined. The primary endpoint was differences in standard uptake value (SUV), lean body mass-normalized SUV (SUL), body surface area-normalized SUV (SUS), glucose-normalized SUV (GN), metabolic tumor volume (MTV), total lesion glycolysis (TLG), and glucose-normalized total lesion glycolysis (GNTLG) of primary tumors and LNM between different T and N stages. The metabolic parameters associated with T and N staging were identified.</p><p><strong>Results: </strong>There were significant differences between all parameters relative to the primary tumor but no significant differences in any parameter relative to the LNM and T stages. Higher mean values of TGN<sub>max</sub>, TGN<sub>mean</sub>, TSUV<sub>peak</sub>, and TSUS<sub>max</sub> were associated with advanced T stages. Higher mean values of all the LNM parameters were associated with more advanced N stages. Only primary tumor metabolic tumor volume (TMTV), TSUV<sub>peak</sub>, TSUL<sub>max</sub>, and TSUS<sub>max</sub> showed a significant positive association with T staging, while lymph node metabolic tumor volume (LNMTV) and TSUS<sub>max</sub> were significantly positive in N staging.</p><p><strong>Conclusions: </strong>Our findings suggest that metabolic parameters are useful indicators of tumor invasiveness and LNM based on the Eighth Edition manual. Compared with volume-dependent parameters, TGN<sub>max</sub>, TGN<sub>mean</sub>, TSUV<sub>peak</sub>, and TSUS<sub>max</sub> may be better indicators of local tumor aggressiveness. SUS<sub>max</sub> of the primary tumor was associated with LNM. In addition to SUV<sub>max</sub>, other metabolic parameters (eg, SUL<sub>max</sub>, SUS<sub>max</sub>, GN<sub>max</sub>, and GN<sub>mean</sub>) could evaluate tumor aggressiveness and LNM better.</p>","PeriodicalId":48591,"journal":{"name":"Clinical Medicine Insights-Oncology","volume":"18 ","pages":"11795549231225419"},"PeriodicalIF":2.2,"publicationDate":"2024-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10845995/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139698736","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cui Tang, Jinming Xu, Moubin Lin, Shixiong Qiu, Huan Wang, Xiaoming Zuo, Mengxiao Liu, Peijun Wang
{"title":"Risk Factors for Distant Metastasis in T3 T4 Rectal Cancer.","authors":"Cui Tang, Jinming Xu, Moubin Lin, Shixiong Qiu, Huan Wang, Xiaoming Zuo, Mengxiao Liu, Peijun Wang","doi":"10.1177/11795549241227423","DOIUrl":"10.1177/11795549241227423","url":null,"abstract":"<p><strong>Background: </strong>Distant metastasis is the leading cause of death in patients with rectal cancer. This study aims to comprehensively analyze the risk factors of distant metastasis in T3 T4 rectal cancer using magnetic resonance imaging (MRI), pathological features, and serum indicators.</p><p><strong>Methods: </strong>The clinicopathological data of 146 cases of T3 T4 rectal cancer after radical resection from January 2015 to March 2023 were retrospectively analyzed. Pre- and postoperative follow-up data of all cases were collected to screen for distant metastatic lesions. Univariate and multivariate Logistic regression methods were used to analyze the relationship between MRI features, pathological results, serum test indexes, and distant metastasis.</p><p><strong>Results: </strong>Of the 146 included patients, synchronous or metachronous distance metastasis was confirmed in 43 (29.4%) cases. The patients' baseline data and univariate analysis showed that mrEMVI, maximum tumor diameter, mr T Stage, pathological N stage, number of lymph node metastasis, cancer nodules, preoperative serum CEA, (Carcinoembryonic antigen) and CA199 were associated with distant metastasis. In the multiple logistic regression model, mrEMVI, pathological N stage, number of lymph node metastasis, maximum tumor diameter, and preoperative serum CEA were identified as independent risk factors for distant metastasis: mrEMVI [odds ratio (OR) = 3.06], pathological N stage (OR = 6.52 for N1 vs N0; OR = 63.47 for N2 vs N0), preoperative serum CEA (OR = 0.27), tumor maximum diameter (OR = 1.03), number of lymph nodes metastasis (OR = 0.62). And, the receiver operating characteristic (ROC) curve was plotted and the area under the curve was calculated (area under the curve [AUC) = 0.817, 95% CI = 0.744-0.890, <i>P</i> < .001].</p><p><strong>Conclusions: </strong>mrEMVI, pathological N stage, number of lymph node metastasis, maximum tumor diameter and preoperative serum CEA are the independent risk factors for distant metastasis in T3 T4 rectal cancer. A comprehensive analysis of the risk factors for distant metastasis in rectal cancer can provide a reliable basis for formulating individualized treatment strategies, follow-up plans, and evaluating prognosis.</p>","PeriodicalId":48591,"journal":{"name":"Clinical Medicine Insights-Oncology","volume":"18 ","pages":"11795549241227423"},"PeriodicalIF":2.2,"publicationDate":"2024-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10845996/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139698734","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Quratulain Maqsood, Aleena Sumrin, Yasar Saleem, Abdul Wajid, Muhammada Mahnoor
{"title":"Exosomes in Cancer: Diagnostic and Therapeutic Applications.","authors":"Quratulain Maqsood, Aleena Sumrin, Yasar Saleem, Abdul Wajid, Muhammada Mahnoor","doi":"10.1177/11795549231215966","DOIUrl":"10.1177/11795549231215966","url":null,"abstract":"<p><p>Small extracellular vesicles called exosomes are produced by cells and contain a range of biomolecules, including proteins, lipids, and nucleic acids. Exosomes have been implicated in the development and spread of cancer, and recent studies have shown that their contents may be exploited as biomarkers for early detection and ongoing surveillance of the disease. In this review article, we summarize the current knowledge on exosomes as biomarkers of cancer. We discuss the various methods used for exosome isolation and characterization, as well as the different types of biomolecules found within exosomes that are relevant for cancer diagnosis and prognosis. We also highlight recent studies that have demonstrated the utility of exosomal biomarkers in different types of cancer, such as lung cancer, breast cancer, and pancreatic cancer. Overall, exosomes show great promise as noninvasive biomarkers for cancer detection and monitoring. Exosomes have the ability to transform cancer diagnostic and therapeutic paradigms, providing promise for more efficient and individualized. This review seeks to serve as an inspiration for new ideas and research in the never-ending fight against cancer. Moreover, further studies are needed to validate their clinical utility and establish standardized protocols for their isolation and analysis. With continued research and development, exosomal biomarkers have the potential to revolutionize cancer diagnosis and treatment.</p>","PeriodicalId":48591,"journal":{"name":"Clinical Medicine Insights-Oncology","volume":"18 ","pages":"11795549231215966"},"PeriodicalIF":2.2,"publicationDate":"2024-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10799603/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139512707","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Wen-Qing Chen, Liang Peng, Xue-Lan Zeng, Wei-Ping Wen, Wei Sun
{"title":"Predictors of Myelosuppression for Patients with Head and Neck Squamous Cell Carcinoma After Induction Chemotherapy.","authors":"Wen-Qing Chen, Liang Peng, Xue-Lan Zeng, Wei-Ping Wen, Wei Sun","doi":"10.1177/11795549231219497","DOIUrl":"10.1177/11795549231219497","url":null,"abstract":"<p><strong>Background: </strong>Induction chemotherapy (ICT) has become an initial treatment for head and neck squamous cell carcinoma (HNSCC). However, myelosuppression, an unavoidable side effect of ICT, significantly impacts follow-up treatment and prognosis. The main objective of this study is to identify the risk factors and predictors of myelosuppression and its different severity after ICT for ICT.</p><p><strong>Methods: </strong>We retrospectively reviewed medical records of 102 patients with hypopharyngeal cancer or oropharyngeal cancer who received initial ICT from 2013 to 2022. Univariate and multivariate logistic regression analyses were performed to identify risk factors for myelosuppression. Receiver-operating characteristic (ROC) curves were generated using the results of multiple logistic regression analysis to identify data with the highest sensitivity and lowest false-negative rate.</p><p><strong>Results: </strong>Pretreatment lymphocyte count (PLC) and the pretreatment platelet count (PPC) were identified as independent risk factors of myelosuppression (<i>P</i> < .05). Pretreatment hemoglobin count (PHC) was an independent risk factor for predicting myelosuppression in patients with grades III to IV disease. Patients with myelosuppression after ICT are more sensitive to chemotherapy.</p><p><strong>Conclusions: </strong>The PLC and PPC predicted myelosuppression in patients with HNSCC-administered ICT, and the PHC predicted grades III to IV myelosuppression. Myelosuppressed patients were more chemosensitive after ICT.</p>","PeriodicalId":48591,"journal":{"name":"Clinical Medicine Insights-Oncology","volume":"18 ","pages":"11795549231219497"},"PeriodicalIF":2.2,"publicationDate":"2024-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10771758/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139378605","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Artificial Intelligence Applications in the Treatment of Colorectal Cancer: A Narrative Review.","authors":"Jiaqing Yang, Jing Huang, Deqian Han, Xuelei Ma","doi":"10.1177/11795549231220320","DOIUrl":"10.1177/11795549231220320","url":null,"abstract":"<p><p>Colorectal cancer is the third most prevalent cancer worldwide, and its treatment has been a demanding clinical problem. Beyond traditional surgical therapy and chemotherapy, newly revealed molecular mechanisms diversify therapeutic approaches for colorectal cancer. However, the selection of personalized treatment among multiple treatment options has become another challenge in the era of precision medicine. Artificial intelligence has recently been increasingly investigated in the treatment of colorectal cancer. This narrative review mainly discusses the applications of artificial intelligence in the treatment of colorectal cancer patients. A comprehensive literature search was conducted in MEDLINE, EMBASE, and Web of Science to identify relevant papers, resulting in 49 articles being included. The results showed that, based on different categories of data, artificial intelligence can predict treatment outcomes and essential guidance information of traditional and novel therapies, thus enabling individualized treatment strategy selection for colorectal cancer patients. Some frequently implemented machine learning algorithms and deep learning frameworks have also been employed for long-term prognosis prediction in patients with colorectal cancer. Overall, artificial intelligence shows encouraging results in treatment strategy selection and prognosis evaluation for colorectal cancer patients.</p>","PeriodicalId":48591,"journal":{"name":"Clinical Medicine Insights-Oncology","volume":"18 ","pages":"11795549231220320"},"PeriodicalIF":2.2,"publicationDate":"2024-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10771756/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139378603","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}