Pub Date : 2024-08-28DOI: 10.3390/curroncol31090373
Lauren M. Walker, Carly S. Sears, Erik Wibowo, John W. Robinson, Andrew G. Matthew, Deborah L. McLeod, Richard J. Wassersug
Although Androgen Deprivation Therapy (ADT) is effective in controlling prostate cancer (PCa) and increasing survival, it is associated with a myriad of side effects that cause significant morbidity. Previous research has shown that PCa patients starting on ADT are neither fully informed nor well-equipped to manage the breadth of ADT’s side effects. The ADT Educational Program (a 1.5 h interactive class plus a book) was developed as an evidence-based resource for patients dealing with ADT. Our aim here was to compare the efficacy of an online version of the class with a previously assessed in-person version of the class. Using mixed MANOVAs within a non-randomized comparison design, we assessed: (1) changes in patients’ experiences of self-efficacy to manage and bother associated with side effects approximately 10 weeks after attending a class, and (2) potential differences in these variables between online and in-person class formats. Side effect bother decreased from pre- to post-class but did not differ between in-person (n = 94) and online (n = 137) class cohorts. While self-efficacy to manage side effects was slightly higher post-class in both cohorts, the increase was not statistically significant. Average self-efficacy ratings were significantly higher among in-person versus online class participants (p < 0.05; ηp2 = 0.128). Both online and in-person classes are associated with a significant reduction in the severity of side effect bother reported by PCa patients, suggesting non-inferiority of online versus in-person formats. Online classes offer greater accessibility to the program for patients outside the reach of in-person classes, increasing the availability of the program to more PCa patients and family members across Canada.
{"title":"A Non-Randomized Comparison of Online and In-Person Formats of the Canadian Androgen Deprivation Therapy Educational Program: Impacts on Side Effects, Bother, and Self-Efficacy","authors":"Lauren M. Walker, Carly S. Sears, Erik Wibowo, John W. Robinson, Andrew G. Matthew, Deborah L. McLeod, Richard J. Wassersug","doi":"10.3390/curroncol31090373","DOIUrl":"https://doi.org/10.3390/curroncol31090373","url":null,"abstract":"Although Androgen Deprivation Therapy (ADT) is effective in controlling prostate cancer (PCa) and increasing survival, it is associated with a myriad of side effects that cause significant morbidity. Previous research has shown that PCa patients starting on ADT are neither fully informed nor well-equipped to manage the breadth of ADT’s side effects. The ADT Educational Program (a 1.5 h interactive class plus a book) was developed as an evidence-based resource for patients dealing with ADT. Our aim here was to compare the efficacy of an online version of the class with a previously assessed in-person version of the class. Using mixed MANOVAs within a non-randomized comparison design, we assessed: (1) changes in patients’ experiences of self-efficacy to manage and bother associated with side effects approximately 10 weeks after attending a class, and (2) potential differences in these variables between online and in-person class formats. Side effect bother decreased from pre- to post-class but did not differ between in-person (n = 94) and online (n = 137) class cohorts. While self-efficacy to manage side effects was slightly higher post-class in both cohorts, the increase was not statistically significant. Average self-efficacy ratings were significantly higher among in-person versus online class participants (p < 0.05; ηp2 = 0.128). Both online and in-person classes are associated with a significant reduction in the severity of side effect bother reported by PCa patients, suggesting non-inferiority of online versus in-person formats. Online classes offer greater accessibility to the program for patients outside the reach of in-person classes, increasing the availability of the program to more PCa patients and family members across Canada.","PeriodicalId":11012,"journal":{"name":"Current oncology","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142189389","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}
Pub Date : 2024-08-28DOI: 10.3390/curroncol31090370
Han Yin, Fernanda Romero-Hernandez, Amir Ashraf Ganjouei, Jaeyun Jane Wang, Audrey Brown, Kenzo Hirose, Ajay V. Maker, Eric Nakakura, Carlos Corvera, Kimberly S. Kirkwood, Alexander Wilhelm, June S. Peng, Adnan Alseidi, Mohamed A. Adam
Pancreatoblastoma is perceived to be aggressive in adults; however, data are limited due to the rarity of the disease. We benchmarked clinico-pathologic characteristics, outcomes, and survival of adult patients with pancreatoblastoma to a comparable PDAC cohort using the National Cancer Database (NCDB). This study included 301,204 patients: 35 with pancreatoblastoma and 301,169 PDAC patients. Pancreatoblastoma patients were younger than PDAC patients (56 vs. 69 years, p < 0.001). More pancreatoblastoma patients were managed at academic institutions (63.0% vs. 40.7%, p = 0.047). The most frequent primary site was the head and the neck of the pancreas. There were no differences in tumor size (4.2 cm vs. 3.7 cm, p = 0.828), lymph node positivity (14.3% vs. 26.4%, p = 0.103), or metastasis at time of diagnosis (31.4% vs. 46.1%, p = 0.081). The majority of pancreatoblastoma patients underwent resection compared to a minority of PDAC patients (69.7% vs. 15.5%, p < 0.001). Time from diagnosis to surgery was longer for pancreatoblastoma patients (33 vs. 14 days, p = 0.030). Pancreaticoduodenectomy was the most common type of resection in the pancreatoblastoma and PDAC groups (47.8% vs. 67.7%, p = 0.124). Among resected patients, pancreatoblastoma patients were less likely to receive radiation (4.8% vs. 37.0%, p = 0.002), but the use of chemotherapy was similar to PDAC patients (60.9% vs. 70.7%). After matching, median overall survival was longer for pancreatoblastoma than PDAC (59.8 months vs. 15.2 months, p = 0.014).
{"title":"Adult Pancreatoblastoma: Clinical Insights and Outcomes Compared to Pancreatic Ductal Adenocarcinoma (PDAC)","authors":"Han Yin, Fernanda Romero-Hernandez, Amir Ashraf Ganjouei, Jaeyun Jane Wang, Audrey Brown, Kenzo Hirose, Ajay V. Maker, Eric Nakakura, Carlos Corvera, Kimberly S. Kirkwood, Alexander Wilhelm, June S. Peng, Adnan Alseidi, Mohamed A. Adam","doi":"10.3390/curroncol31090370","DOIUrl":"https://doi.org/10.3390/curroncol31090370","url":null,"abstract":"Pancreatoblastoma is perceived to be aggressive in adults; however, data are limited due to the rarity of the disease. We benchmarked clinico-pathologic characteristics, outcomes, and survival of adult patients with pancreatoblastoma to a comparable PDAC cohort using the National Cancer Database (NCDB). This study included 301,204 patients: 35 with pancreatoblastoma and 301,169 PDAC patients. Pancreatoblastoma patients were younger than PDAC patients (56 vs. 69 years, p < 0.001). More pancreatoblastoma patients were managed at academic institutions (63.0% vs. 40.7%, p = 0.047). The most frequent primary site was the head and the neck of the pancreas. There were no differences in tumor size (4.2 cm vs. 3.7 cm, p = 0.828), lymph node positivity (14.3% vs. 26.4%, p = 0.103), or metastasis at time of diagnosis (31.4% vs. 46.1%, p = 0.081). The majority of pancreatoblastoma patients underwent resection compared to a minority of PDAC patients (69.7% vs. 15.5%, p < 0.001). Time from diagnosis to surgery was longer for pancreatoblastoma patients (33 vs. 14 days, p = 0.030). Pancreaticoduodenectomy was the most common type of resection in the pancreatoblastoma and PDAC groups (47.8% vs. 67.7%, p = 0.124). Among resected patients, pancreatoblastoma patients were less likely to receive radiation (4.8% vs. 37.0%, p = 0.002), but the use of chemotherapy was similar to PDAC patients (60.9% vs. 70.7%). After matching, median overall survival was longer for pancreatoblastoma than PDAC (59.8 months vs. 15.2 months, p = 0.014).","PeriodicalId":11012,"journal":{"name":"Current oncology","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142189386","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}
Pub Date : 2024-08-28DOI: 10.3390/curroncol31090372
Asim Armagan Aydin, Ramazan Oguz Yuceer
Background: This investigation evaluated the predictive and prognostic efficacy of the newly developed global immune-nutrition-inflammation index (GINI) in patients with grade 4 adult-type diffuse gliomas, comparing it with other established indices such as the systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), and pan-immune-inflammation value (PIV). Method: A retrospective cohort included 198 patients diagnosed with isocitrate dehydrogenase (IDH)-mutant gr4 (grade 4) astrocytoma and IDH-wt (wilde-type) glioblastoma (GBM) gr4 treated with surgical resection, radiotherapy, and temozolomide. Patients were stratified into two groups based on their GINI values: low GINI (<5815) and high GINI (≥5815). The primary endpoint was overall survival (OS). Results: High GINI was significantly associated with older age, poor performance status, multifocal tumors, and higher SII, SIRI, and PIV values (p < 0.005). The GINI demonstrated strong correlations with SII (r = 0.694), SIRI (r = 0.516), and PIV (r = 0.657) (p < 0.001). Patients with high GINI exhibited poorer OS (5.0 vs. 17.0 months) and PFS (5.0 vs. 13.0 months) in comparison to those with low GINI. Kaplan–Meier survival analysis revealed significantly prolonged OS and PFS among patients with low GINI (p < 0.001). Multivariate analysis identified high GINI as an independent negative risk factor for both PFS and OS. Conclusions: GINI is a robust predictor of clinical outcomes in IDH-mutant gr4 astrocytoma and IDH-wt GBM gr4, highlighting the crucial impact of nutrition and cancer cachexia. It shows superior prognostic value relative to the SII, SIRI, and PIV.
{"title":"Unraveling the Predictive Value of the Novel Global Immune-Nutrition-Inflammation Index (GINI) on Survival Outcomes in Patients with Grade 4 Adult-Type Diffuse Gliomas","authors":"Asim Armagan Aydin, Ramazan Oguz Yuceer","doi":"10.3390/curroncol31090372","DOIUrl":"https://doi.org/10.3390/curroncol31090372","url":null,"abstract":"Background: This investigation evaluated the predictive and prognostic efficacy of the newly developed global immune-nutrition-inflammation index (GINI) in patients with grade 4 adult-type diffuse gliomas, comparing it with other established indices such as the systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), and pan-immune-inflammation value (PIV). Method: A retrospective cohort included 198 patients diagnosed with isocitrate dehydrogenase (IDH)-mutant gr4 (grade 4) astrocytoma and IDH-wt (wilde-type) glioblastoma (GBM) gr4 treated with surgical resection, radiotherapy, and temozolomide. Patients were stratified into two groups based on their GINI values: low GINI (<5815) and high GINI (≥5815). The primary endpoint was overall survival (OS). Results: High GINI was significantly associated with older age, poor performance status, multifocal tumors, and higher SII, SIRI, and PIV values (p < 0.005). The GINI demonstrated strong correlations with SII (r = 0.694), SIRI (r = 0.516), and PIV (r = 0.657) (p < 0.001). Patients with high GINI exhibited poorer OS (5.0 vs. 17.0 months) and PFS (5.0 vs. 13.0 months) in comparison to those with low GINI. Kaplan–Meier survival analysis revealed significantly prolonged OS and PFS among patients with low GINI (p < 0.001). Multivariate analysis identified high GINI as an independent negative risk factor for both PFS and OS. Conclusions: GINI is a robust predictor of clinical outcomes in IDH-mutant gr4 astrocytoma and IDH-wt GBM gr4, highlighting the crucial impact of nutrition and cancer cachexia. It shows superior prognostic value relative to the SII, SIRI, and PIV.","PeriodicalId":11012,"journal":{"name":"Current oncology","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142189388","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}
Pub Date : 2024-08-28DOI: 10.3390/curroncol31090374
Jinzhu Wei, Haoyang Zhang, Jiang Xie
Multi-task learning (MTL) methods are widely applied in breast imaging for lesion area perception and classification to assist in breast cancer diagnosis and personalized treatment. A typical paradigm of MTL is the shared-backbone network architecture, which can lead to information sharing conflicts and result in the decline or even failure of the main task’s performance. Therefore, extracting richer lesion features and alleviating information-sharing conflicts has become a significant challenge for breast cancer classification. This study proposes a novel Multi-Feature Fusion Multi-Task (MFFMT) model to effectively address this issue. Firstly, in order to better capture the local and global feature relationships of lesion areas, a Contextual Lesion Enhancement Perception (CLEP) module is designed, which integrates channel attention mechanisms with detailed spatial positional information to extract more comprehensive lesion feature information. Secondly, a novel Multi-Feature Fusion (MFF) module is presented. The MFF module effectively extracts differential features that distinguish between lesion-specific characteristics and the semantic features used for tumor classification, and enhances the common feature information of them as well. Experimental results on two public breast ultrasound imaging datasets validate the effectiveness of our proposed method. Additionally, a comprehensive study on the impact of various factors on the model’s performance is conducted to gain a deeper understanding of the working mechanism of the proposed framework.
{"title":"A Novel Deep Learning Model for Breast Tumor Ultrasound Image Classification with Lesion Region Perception","authors":"Jinzhu Wei, Haoyang Zhang, Jiang Xie","doi":"10.3390/curroncol31090374","DOIUrl":"https://doi.org/10.3390/curroncol31090374","url":null,"abstract":"Multi-task learning (MTL) methods are widely applied in breast imaging for lesion area perception and classification to assist in breast cancer diagnosis and personalized treatment. A typical paradigm of MTL is the shared-backbone network architecture, which can lead to information sharing conflicts and result in the decline or even failure of the main task’s performance. Therefore, extracting richer lesion features and alleviating information-sharing conflicts has become a significant challenge for breast cancer classification. This study proposes a novel Multi-Feature Fusion Multi-Task (MFFMT) model to effectively address this issue. Firstly, in order to better capture the local and global feature relationships of lesion areas, a Contextual Lesion Enhancement Perception (CLEP) module is designed, which integrates channel attention mechanisms with detailed spatial positional information to extract more comprehensive lesion feature information. Secondly, a novel Multi-Feature Fusion (MFF) module is presented. The MFF module effectively extracts differential features that distinguish between lesion-specific characteristics and the semantic features used for tumor classification, and enhances the common feature information of them as well. Experimental results on two public breast ultrasound imaging datasets validate the effectiveness of our proposed method. Additionally, a comprehensive study on the impact of various factors on the model’s performance is conducted to gain a deeper understanding of the working mechanism of the proposed framework.","PeriodicalId":11012,"journal":{"name":"Current oncology","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142189390","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}
Pub Date : 2024-08-27DOI: 10.3390/curroncol31090368
Elisa Roca, Avinash Aujayeb, Philippe Astoul
Ranked high in worldwide growing health issues, pleural diseases affect approximately one million people globally per year and are often correlated with a poor prognosis. Among these pleural diseases, malignant pleural mesothelioma (PM), a neoplastic disease mainly due to asbestos exposure, still remains a diagnostic challenge. Timely diagnosis is imperative to define the most suitable therapeutic approach for the patient, but the choice of diagnostic modalities depends on operator experience and local facilities while bearing in mind the yield of each diagnostic procedure. Since the analysis of pleural fluid cytology is not sufficient in differentiating historical features in PM, histopathological and morphological features obtained via tissue biopsies are fundamental. The quality of biopsy samples is crucial and often requires highly qualified expertise. Since adequate tissue biopsy is essential, medical or video-assisted thoracoscopy (MT or VATS) is proposed as the most suitable approach, with the former being a physician-led procedure. Indeed, MT is the diagnostic gold standard for malignant pleural pathologies. Moreover, this medical or surgical approach can allow diagnostic and therapeutic procedures: it provides the possibility of video-assisted biopsies, the drainage of high volumes of pleural fluid and the administration of sterile calibrated talcum powder under visual control in order to achieve pleurodesis, placement of indwelling pleural catheters if required and in a near future potential intrapleural therapy. In this context, dedicated diagnostic pathways remain a crucial need, especially to quickly and properly diagnose PM. Lastly, the interdisciplinary approach and multidisciplinary collaboration should always be implemented in order to direct the patient to the best customised diagnostic and therapeutic pathway. At the present time, the diagnosis of PM remains an unsolved problem despite MDT (multidisciplinary team) meetings, mainly because of the lack of standardised diagnostic work-up. This review aims to provide an overview of diagnostic procedures in order to propose a clear strategy.
{"title":"Diagnosis of Pleural Mesothelioma: Is Everything Solved at the Present Time?","authors":"Elisa Roca, Avinash Aujayeb, Philippe Astoul","doi":"10.3390/curroncol31090368","DOIUrl":"https://doi.org/10.3390/curroncol31090368","url":null,"abstract":"Ranked high in worldwide growing health issues, pleural diseases affect approximately one million people globally per year and are often correlated with a poor prognosis. Among these pleural diseases, malignant pleural mesothelioma (PM), a neoplastic disease mainly due to asbestos exposure, still remains a diagnostic challenge. Timely diagnosis is imperative to define the most suitable therapeutic approach for the patient, but the choice of diagnostic modalities depends on operator experience and local facilities while bearing in mind the yield of each diagnostic procedure. Since the analysis of pleural fluid cytology is not sufficient in differentiating historical features in PM, histopathological and morphological features obtained via tissue biopsies are fundamental. The quality of biopsy samples is crucial and often requires highly qualified expertise. Since adequate tissue biopsy is essential, medical or video-assisted thoracoscopy (MT or VATS) is proposed as the most suitable approach, with the former being a physician-led procedure. Indeed, MT is the diagnostic gold standard for malignant pleural pathologies. Moreover, this medical or surgical approach can allow diagnostic and therapeutic procedures: it provides the possibility of video-assisted biopsies, the drainage of high volumes of pleural fluid and the administration of sterile calibrated talcum powder under visual control in order to achieve pleurodesis, placement of indwelling pleural catheters if required and in a near future potential intrapleural therapy. In this context, dedicated diagnostic pathways remain a crucial need, especially to quickly and properly diagnose PM. Lastly, the interdisciplinary approach and multidisciplinary collaboration should always be implemented in order to direct the patient to the best customised diagnostic and therapeutic pathway. At the present time, the diagnosis of PM remains an unsolved problem despite MDT (multidisciplinary team) meetings, mainly because of the lack of standardised diagnostic work-up. This review aims to provide an overview of diagnostic procedures in order to propose a clear strategy.","PeriodicalId":11012,"journal":{"name":"Current oncology","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142189391","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}
Pub Date : 2024-08-27DOI: 10.3390/curroncol31090369
Valerio Nardone, Federica Marmorino, Marco Maria Germani, Natalia Cichowska-Cwalińska, Vittorio Salvatore Menditti, Paolo Gallo, Vittorio Studiale, Ada Taravella, Matteo Landi, Alfonso Reginelli, Salvatore Cappabianca, Sergii Girnyi, Tomasz Cwalinski, Virginia Boccardi, Aman Goyal, Jaroslaw Skokowski, Rodolfo J. Oviedo, Adel Abou-Mrad, Luigi Marano
The integration of multidisciplinary tumor boards (MTBs) is fundamental in delivering state-of-the-art cancer treatment, facilitating collaborative diagnosis and management by a diverse team of specialists. Despite the clear benefits in personalized patient care and improved outcomes, the increasing burden on MTBs due to rising cancer incidence and financial constraints necessitates innovative solutions. The advent of artificial intelligence (AI) in the medical field offers a promising avenue to support clinical decision-making. This review explores the perspectives of clinicians dedicated to the care of cancer patients—surgeons, medical oncologists, and radiation oncologists—on the application of AI within MTBs. Additionally, it examines the role of AI across various clinical specialties involved in cancer diagnosis and treatment. By analyzing both the potential and the challenges, this study underscores how AI can enhance multidisciplinary discussions and optimize treatment plans. The findings highlight the transformative role that AI may play in refining oncology care and sustaining the efficacy of MTBs amidst growing clinical demands.
{"title":"The Role of Artificial Intelligence on Tumor Boards: Perspectives from Surgeons, Medical Oncologists and Radiation Oncologists","authors":"Valerio Nardone, Federica Marmorino, Marco Maria Germani, Natalia Cichowska-Cwalińska, Vittorio Salvatore Menditti, Paolo Gallo, Vittorio Studiale, Ada Taravella, Matteo Landi, Alfonso Reginelli, Salvatore Cappabianca, Sergii Girnyi, Tomasz Cwalinski, Virginia Boccardi, Aman Goyal, Jaroslaw Skokowski, Rodolfo J. Oviedo, Adel Abou-Mrad, Luigi Marano","doi":"10.3390/curroncol31090369","DOIUrl":"https://doi.org/10.3390/curroncol31090369","url":null,"abstract":"The integration of multidisciplinary tumor boards (MTBs) is fundamental in delivering state-of-the-art cancer treatment, facilitating collaborative diagnosis and management by a diverse team of specialists. Despite the clear benefits in personalized patient care and improved outcomes, the increasing burden on MTBs due to rising cancer incidence and financial constraints necessitates innovative solutions. The advent of artificial intelligence (AI) in the medical field offers a promising avenue to support clinical decision-making. This review explores the perspectives of clinicians dedicated to the care of cancer patients—surgeons, medical oncologists, and radiation oncologists—on the application of AI within MTBs. Additionally, it examines the role of AI across various clinical specialties involved in cancer diagnosis and treatment. By analyzing both the potential and the challenges, this study underscores how AI can enhance multidisciplinary discussions and optimize treatment plans. The findings highlight the transformative role that AI may play in refining oncology care and sustaining the efficacy of MTBs amidst growing clinical demands.","PeriodicalId":11012,"journal":{"name":"Current oncology","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142189406","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}
Pub Date : 2024-08-26DOI: 10.3390/curroncol31090367
Carlo Putzu, Riccardo Serra, Rachele Campus, Giovanni Maria Fadda, Claudio Sini, Andrea Marongiu, Giorgio Carlo Ginesu, Alessandro Giuseppe Fois, Giuseppe Palmieri, Angelo Zinellu, Antonio Cossu, Panagiotis Paliogiannis
Background: The aim of the study was to investigate a series of complete blood cell count-based biomarkers of systemic inflammation as predictors of clinical outcomes in patients who underwent first-line chemoimmunotherapy for advanced NSCLC. Methods: Consecutive patients with pathologically diagnosed stage III/IV NSCLC and PD-L1 < 50% who underwent first-line chemoimmunotherapy were retrospectively enrolled. The clinical outcomes used for biomarker evaluation were Objective Response Rate (ORR) and Overall Survival (OS). Results: Non-responders had significantly higher values of neutrophil to lymphocyte ratio (NLR, median: 5.36; IQR: 2.78–10.82 vs. 3.31; IQR: 2.15–4.12, p = 0.019), neutrophil to monocyte ratio (NMR, median: 14.00; IQR: 8.82–21.20 vs. 9.20; IQR: 7.45–11.20, p = 0.013), and systemic inflammation index (SII, median: 1395; IQR: 929–3334 vs. 945; IQR: 552–1373, p = 0.025), but only NLR and NMR remained independently associated with clinical response in multivariate logistic regression. In the univariate analysis, white blood cells (OR:1.2202; 95% CI: 1.0339–1.4400, p = 0.019), neutrophils (OR:1.2916; 95% CI: 1.0692–1.5604, p = 0.008), NLR (OR:1.3601: 95% CI: 1.0949–1.6896, p = 0.005) and NMR (OR:1.2159; 95% CI: 1.00396–1.4221, p = 0.015) were significantly associated with survival; Cox regression models confirmed that neutrophils, NLR, and MLR were independently associated with survival; NLR, at a cut-off value of 4.0, showed the better AUC (0.749) in predicting OS. Conclusions: Baseline complete blood cell count biomarkers, especially the NLR, can predict clinical outcomes in patients with advanced NSCLC treated with first-line chemoimmunotherapy.
研究背景该研究旨在研究一系列基于全血细胞计数的全身炎症生物标志物，作为晚期NSCLC一线化疗免疫疗法患者临床预后的预测指标。研究方法回顾性纳入病理诊断为III/IV期NSCLC且PD-L1小于50%、接受一线化疗免疫疗法的连续患者。用于生物标记物评估的临床结果是客观反应率（ORR）和总生存率（OS）。结果显示非应答者的中性粒细胞与淋巴细胞比值（NLR，中位数：5.36；IQR：2.78-10.82 vs. 3.31；IQR：2.15-4.12，p = 0.019）、中性粒细胞与单核细胞比值（NMR，中位数：14.00；IQR：8.82-21.20 vs. 9.20；IQR：7.45-11.20，p = 0.013）和全身炎症指数（SII，中位数：1395；IQR：929-3334 vs. 945；IQR：552-1373，p = 0.025），但在多变量逻辑回归中，只有 NLR 和 NMR 仍与临床反应独立相关。在单变量分析中，白细胞（OR:1.2202; 95% CI: 1.0339-1.4400, p = 0.019）、中性粒细胞（OR:1.2916; 95% CI: 1.0692-1.5604, p = 0.008）、NLR（OR:1.3601: 95% CI: 1.0949-1.6896, p = 0.005）和 NMR（OR:1.2159; 95% CI: 1.00396-1.Cox回归模型证实，中性粒细胞、NLR和MLR与存活率独立相关；NLR（临界值为4.0）在预测OS方面显示出更好的AUC（0.749）。结论基线全血细胞计数生物标志物，尤其是NLR，可以预测接受一线化疗免疫疗法的晚期NSCLC患者的临床结局。
{"title":"Complete Blood Count-Based Biomarkers as Predictors of Clinical Outcomes in Advanced Non-Small Cell Lung Cancer Patients with PD-L1 < 50% Treated with First-Line Chemoimmunotherapy","authors":"Carlo Putzu, Riccardo Serra, Rachele Campus, Giovanni Maria Fadda, Claudio Sini, Andrea Marongiu, Giorgio Carlo Ginesu, Alessandro Giuseppe Fois, Giuseppe Palmieri, Angelo Zinellu, Antonio Cossu, Panagiotis Paliogiannis","doi":"10.3390/curroncol31090367","DOIUrl":"https://doi.org/10.3390/curroncol31090367","url":null,"abstract":"Background: The aim of the study was to investigate a series of complete blood cell count-based biomarkers of systemic inflammation as predictors of clinical outcomes in patients who underwent first-line chemoimmunotherapy for advanced NSCLC. Methods: Consecutive patients with pathologically diagnosed stage III/IV NSCLC and PD-L1 < 50% who underwent first-line chemoimmunotherapy were retrospectively enrolled. The clinical outcomes used for biomarker evaluation were Objective Response Rate (ORR) and Overall Survival (OS). Results: Non-responders had significantly higher values of neutrophil to lymphocyte ratio (NLR, median: 5.36; IQR: 2.78–10.82 vs. 3.31; IQR: 2.15–4.12, p = 0.019), neutrophil to monocyte ratio (NMR, median: 14.00; IQR: 8.82–21.20 vs. 9.20; IQR: 7.45–11.20, p = 0.013), and systemic inflammation index (SII, median: 1395; IQR: 929–3334 vs. 945; IQR: 552–1373, p = 0.025), but only NLR and NMR remained independently associated with clinical response in multivariate logistic regression. In the univariate analysis, white blood cells (OR:1.2202; 95% CI: 1.0339–1.4400, p = 0.019), neutrophils (OR:1.2916; 95% CI: 1.0692–1.5604, p = 0.008), NLR (OR:1.3601: 95% CI: 1.0949–1.6896, p = 0.005) and NMR (OR:1.2159; 95% CI: 1.00396–1.4221, p = 0.015) were significantly associated with survival; Cox regression models confirmed that neutrophils, NLR, and MLR were independently associated with survival; NLR, at a cut-off value of 4.0, showed the better AUC (0.749) in predicting OS. Conclusions: Baseline complete blood cell count biomarkers, especially the NLR, can predict clinical outcomes in patients with advanced NSCLC treated with first-line chemoimmunotherapy.","PeriodicalId":11012,"journal":{"name":"Current oncology","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142189409","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}
Pub Date : 2024-08-26DOI: 10.3390/curroncol31090365
Qingping Zeng, Weihong Chang, Rui Zhang, Hongxuan Fan, Zixuan Dou, Aman Liu, Jie Yu, Boda Zhou
Evidence regarding the association between cancer and heart failure (HF) is scarce. This study is to investigate the association between HF and cancer and explore the prognostic value of NT-proBNP in cancer patients. This cohort study used National Health and Nutrition Examination Survey data from 1999 to 2018 and linked mortality information until 2019. We included all participants with valid answer to questions regarding self-reported cancer and HF. Multivariable logistic regression was used to estimate odds ratios (ORs) and 95% CIs. Our study included data from 54,847 adult participants. During a median (IQR) follow-up of 9.6 (4.0–15.1) years, 7674 deaths were recorded. HF was associated with an increased occurrence of cancer after propensity score matching (OR = 1.46, 95% CI: 1.17–1.82, p < 0.001). Cancer was associated with a higher occurrence of HF (OR = 1.33, 95% CI: 1.11–1.59, p = 0.002). Kaplan–Meier survival analysis over 10 years revealed the shortest survival in patients with both HF and cancer (log-rank p < 0.0001). Importantly, NT-proBNP was significantly higher in cancer patients, no matter whether with known HF (p < 0.01). In cancer patients without HF, NT-proBNP higher than 51.51 pg/mL was associated with shorter survival (log-rank p < 0.0001). Findings from this cohort study suggest that HF is significantly associated with cancer. NT-proBNP was higher in cancer patients, with significant prognostic value in cancer patients.
{"title":"Association of Cancer with Heart Failure and the Prognostic Value of NT-proBNP in Cancer Patients: Findings from the NHANES (1999–2018)","authors":"Qingping Zeng, Weihong Chang, Rui Zhang, Hongxuan Fan, Zixuan Dou, Aman Liu, Jie Yu, Boda Zhou","doi":"10.3390/curroncol31090365","DOIUrl":"https://doi.org/10.3390/curroncol31090365","url":null,"abstract":"Evidence regarding the association between cancer and heart failure (HF) is scarce. This study is to investigate the association between HF and cancer and explore the prognostic value of NT-proBNP in cancer patients. This cohort study used National Health and Nutrition Examination Survey data from 1999 to 2018 and linked mortality information until 2019. We included all participants with valid answer to questions regarding self-reported cancer and HF. Multivariable logistic regression was used to estimate odds ratios (ORs) and 95% CIs. Our study included data from 54,847 adult participants. During a median (IQR) follow-up of 9.6 (4.0–15.1) years, 7674 deaths were recorded. HF was associated with an increased occurrence of cancer after propensity score matching (OR = 1.46, 95% CI: 1.17–1.82, p < 0.001). Cancer was associated with a higher occurrence of HF (OR = 1.33, 95% CI: 1.11–1.59, p = 0.002). Kaplan–Meier survival analysis over 10 years revealed the shortest survival in patients with both HF and cancer (log-rank p < 0.0001). Importantly, NT-proBNP was significantly higher in cancer patients, no matter whether with known HF (p < 0.01). In cancer patients without HF, NT-proBNP higher than 51.51 pg/mL was associated with shorter survival (log-rank p < 0.0001). Findings from this cohort study suggest that HF is significantly associated with cancer. NT-proBNP was higher in cancer patients, with significant prognostic value in cancer patients.","PeriodicalId":11012,"journal":{"name":"Current oncology","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142189407","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}
Pub Date : 2024-08-26DOI: 10.3390/curroncol31090366
Chetanya Mittal, Hardik Gupta, Chitrakshi Nagpal, Ranjit K. Sahoo, Aparna Sharma, Bharat B. Gangadharaiah, Ghazal Tansir, Sridhar Panaiyadiyan, Shamim A. Shamim, Seema Kaushal, Chandan J. Das, Kunhi P. Haresh, Amlesh Seth, Brusabhanu Nayak, Atul Batra
Introduction: Prostate cancer is one of the most prevalent malignancies affecting men globally, with a significant impact on health-related quality of life (HRQOL). With the recent therapeutic advancements and improvements in survival, there is a need to understand the determinants of HRQOL in metastatic prostate cancer patients to optimize treatment strategies for quality of life as the number of survivors increases. The aim of this study was to identify clinical variables that affect HRQOL and its domains in patients with metastatic prostate cancer. Methods: We conducted a cross-sectional questionnaire-based study in patients diagnosed with metastatic prostate cancer at a tertiary cancer center in India. Baseline clinical features, treatment details, and completed Functional Assessment of Cancer Therapy—Prostate (FACT-P), composed of FACT-general (FACT-G) and prostate cancer-specific concerns subscale (PCS) and FACT-P Trial Outcome Index (FACT-P TOI) questionnaires, were collected. The mean total, as well as individual domain scores, were calculated. Additionally, these were stratified by the current treatment being received by patients. Linear regression was used to identify independent factors affecting HRQOL in these patients. Results: Of the 106 enrolled patients, 84 completed the FACT-P questionnaire and were included in the analysis. The median age was 66 years, and at the time of assessment, 3 patients (3.6%) were receiving androgen deprivation therapy only, 53 patients (63.1%) were on ADT + androgen receptor-targeted agents (ARTAs), and 18 patients (21.4%) patients received ADT + chemotherapy. The mean (±standard deviation) of the FACT-P TOI score was 70.33 (±15.16); the PCS subscale was the most affected, followed by functional well-being. Patients on chemotherapy scored significantly higher on PCS, but the composite scores were not significantly different. Univariable regression identified obesity (body mass index > 25 kg/m2) and duration of first-line treatment as significant predictors of better HRQOL; however, obesity was the only independent predictor in multivariable analysis (β = 8.2; 95% confidence interval, 1.2 to 15.0; p = 0.022). Obesity also independently predicted a better FACT-P and its physical well-being domain score and PCS. Conclusion: Prostate cancer patients experience impaired QoL, especially in the prostate cancer-specific and functional well-being domains. Lower BMI is an independent predictor of poor QoL, and this requires efforts to assess the impact of strategies to manage the nutritional status of patients with metastatic disease on QoL outcomes.
{"title":"Quality of Life Determinants in Patients with Metastatic Prostate Cancer: Insights from a Cross-Sectional Questionnaire-Based Study","authors":"Chetanya Mittal, Hardik Gupta, Chitrakshi Nagpal, Ranjit K. Sahoo, Aparna Sharma, Bharat B. Gangadharaiah, Ghazal Tansir, Sridhar Panaiyadiyan, Shamim A. Shamim, Seema Kaushal, Chandan J. Das, Kunhi P. Haresh, Amlesh Seth, Brusabhanu Nayak, Atul Batra","doi":"10.3390/curroncol31090366","DOIUrl":"https://doi.org/10.3390/curroncol31090366","url":null,"abstract":"Introduction: Prostate cancer is one of the most prevalent malignancies affecting men globally, with a significant impact on health-related quality of life (HRQOL). With the recent therapeutic advancements and improvements in survival, there is a need to understand the determinants of HRQOL in metastatic prostate cancer patients to optimize treatment strategies for quality of life as the number of survivors increases. The aim of this study was to identify clinical variables that affect HRQOL and its domains in patients with metastatic prostate cancer. Methods: We conducted a cross-sectional questionnaire-based study in patients diagnosed with metastatic prostate cancer at a tertiary cancer center in India. Baseline clinical features, treatment details, and completed Functional Assessment of Cancer Therapy—Prostate (FACT-P), composed of FACT-general (FACT-G) and prostate cancer-specific concerns subscale (PCS) and FACT-P Trial Outcome Index (FACT-P TOI) questionnaires, were collected. The mean total, as well as individual domain scores, were calculated. Additionally, these were stratified by the current treatment being received by patients. Linear regression was used to identify independent factors affecting HRQOL in these patients. Results: Of the 106 enrolled patients, 84 completed the FACT-P questionnaire and were included in the analysis. The median age was 66 years, and at the time of assessment, 3 patients (3.6%) were receiving androgen deprivation therapy only, 53 patients (63.1%) were on ADT + androgen receptor-targeted agents (ARTAs), and 18 patients (21.4%) patients received ADT + chemotherapy. The mean (±standard deviation) of the FACT-P TOI score was 70.33 (±15.16); the PCS subscale was the most affected, followed by functional well-being. Patients on chemotherapy scored significantly higher on PCS, but the composite scores were not significantly different. Univariable regression identified obesity (body mass index > 25 kg/m2) and duration of first-line treatment as significant predictors of better HRQOL; however, obesity was the only independent predictor in multivariable analysis (β = 8.2; 95% confidence interval, 1.2 to 15.0; p = 0.022). Obesity also independently predicted a better FACT-P and its physical well-being domain score and PCS. Conclusion: Prostate cancer patients experience impaired QoL, especially in the prostate cancer-specific and functional well-being domains. Lower BMI is an independent predictor of poor QoL, and this requires efforts to assess the impact of strategies to manage the nutritional status of patients with metastatic disease on QoL outcomes.","PeriodicalId":11012,"journal":{"name":"Current oncology","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142189408","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}
We studied the application of CT texture analysis in adrenal incidentalomas with baseline characteristics of benignity that are highly suggestive of adenoma to find whether there is a correlation between the extracted features and clinical data. Patients with hormonal hypersecretion may require medical attention, even if it does not cause any symptoms. A total of 206 patients affected by adrenal incidentaloma were retrospectively enrolled and divided into non-functioning adrenal adenomas (NFAIs, n = 115) and mild autonomous cortisol secretion (MACS, n = 91). A total of 136 texture parameters were extracted in the unenhanced phase for each volume of interest (VOI). Random Forest was used in the training and validation cohorts to test the accuracy of CT textural features and cortisol-related comorbidities in identifying MACS patients. Twelve parameters were retained in the Random Forest radiomic model, and in the validation cohort, a high specificity (81%) and positive predictive value (74%) were achieved. Notably, if the clinical data were added to the model, the results did not differ. Radiomic analysis of adrenal incidentalomas, in unenhanced CT scans, could screen with a good specificity those patients who will need a further endocrinological evaluation for mild autonomous cortisol secretion, regardless of the clinical information about the cortisol-related comorbidities.
{"title":"Could CT Radiomic Analysis of Benign Adrenal Incidentalomas Suggest the Need for Further Endocrinological Evaluation?","authors":"Alessandro Toniolo, Elena Agostini, Filippo Ceccato, Irene Tizianel, Giulio Cabrelle, Amalia Lupi, Alessia Pepe, Cristina Campi, Emilio Quaia, Filippo Crimì","doi":"10.3390/curroncol31090364","DOIUrl":"https://doi.org/10.3390/curroncol31090364","url":null,"abstract":"We studied the application of CT texture analysis in adrenal incidentalomas with baseline characteristics of benignity that are highly suggestive of adenoma to find whether there is a correlation between the extracted features and clinical data. Patients with hormonal hypersecretion may require medical attention, even if it does not cause any symptoms. A total of 206 patients affected by adrenal incidentaloma were retrospectively enrolled and divided into non-functioning adrenal adenomas (NFAIs, n = 115) and mild autonomous cortisol secretion (MACS, n = 91). A total of 136 texture parameters were extracted in the unenhanced phase for each volume of interest (VOI). Random Forest was used in the training and validation cohorts to test the accuracy of CT textural features and cortisol-related comorbidities in identifying MACS patients. Twelve parameters were retained in the Random Forest radiomic model, and in the validation cohort, a high specificity (81%) and positive predictive value (74%) were achieved. Notably, if the clinical data were added to the model, the results did not differ. Radiomic analysis of adrenal incidentalomas, in unenhanced CT scans, could screen with a good specificity those patients who will need a further endocrinological evaluation for mild autonomous cortisol secretion, regardless of the clinical information about the cortisol-related comorbidities.","PeriodicalId":11012,"journal":{"name":"Current oncology","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142189410","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}
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