Pub Date : 2025-12-01Epub Date: 2025-11-23DOI: 10.3390/onco5040051
Giovannino Silvestri, Aditi Chatterjee
Hematological malignancies such as acute myeloid leukemia (AML), chronic myeloid leukemia (CML), lymphomas, and multiple myeloma remain difficult to model ex vivo because conventional two-dimensional (2D) cultures and murine systems fail to reproduce the spatial, metabolic, vascular, and immune complexity of human bone marrow and lymphoid niches. Recent advances in three-dimensional (3D) platforms-including spheroids, engineered organoid-like marrow models, and microfluidic niche-on-a-chip systems-now allow for a more physiological replication of stromal, endothelial, and immune interactions that drive resistance and relapse. In this review, we introduce explicit definitions distinguishing spheroids, organoid-like constructs, true hematopoietic organoids, and microfluidic devices to establish a unified framework for hematologic 3D modeling. We synthesize applications across AML, CML, lymphoma, and myeloma, highlighting mechanistic insights, strengths, and limitations unique to each disease. Finally, we outline a translational roadmap that integrates bioprinting, perfusable vasculature, immune reconstitution, and AI-driven analytics toward next-generation patient-specific platforms. These innovations position 3D marrow-mimetic systems as essential tools for precision oncology in blood cancers.
{"title":"Rebuilding the Marrow <i>In Vitro</i>: Translational Advances in the 3D Modeling of Blood Cancers.","authors":"Giovannino Silvestri, Aditi Chatterjee","doi":"10.3390/onco5040051","DOIUrl":"10.3390/onco5040051","url":null,"abstract":"<p><p>Hematological malignancies such as acute myeloid leukemia (AML), chronic myeloid leukemia (CML), lymphomas, and multiple myeloma remain difficult to model <i>ex vivo</i> because conventional two-dimensional (2D) cultures and murine systems fail to reproduce the spatial, metabolic, vascular, and immune complexity of human bone marrow and lymphoid niches. Recent advances in three-dimensional (3D) platforms-including spheroids, engineered organoid-like marrow models, and microfluidic niche-on-a-chip systems-now allow for a more physiological replication of stromal, endothelial, and immune interactions that drive resistance and relapse. In this review, we introduce explicit definitions distinguishing spheroids, organoid-like constructs, true hematopoietic organoids, and microfluidic devices to establish a unified framework for hematologic 3D modeling. We synthesize applications across AML, CML, lymphoma, and myeloma, highlighting mechanistic insights, strengths, and limitations unique to each disease. Finally, we outline a translational roadmap that integrates bioprinting, perfusable vasculature, immune reconstitution, and AI-driven analytics toward next-generation patient-specific platforms. These innovations position 3D marrow-mimetic systems as essential tools for precision oncology in blood cancers.</p>","PeriodicalId":74339,"journal":{"name":"Onco","volume":"5 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12674608/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145679584","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-03-01Epub Date: 2025-02-08DOI: 10.3390/onco5010007
Yi-Ling Chen, Nicholas Pascuzzi, Alejandro Ruiz, Kuan-Hui Ethan Chen
Mirtrons represent a new subclass of microRNAs (miRNAs) that are processed through non-canonical biogenesis pathways. Unlike canonical miRNAs, which require Drosha-mediated cleavage, mirtrons are generated via the splicing of short intronic sequences, bypassing Drosha entirely. While mirtrons are found across a variety of organisms, their conservation between species is relatively low. This evolutionary divergence has resulted in mirtrons acquiring species-specific regulatory functions. In humans, mirtrons remain an understudied group of regulatory RNAs. However, emerging evidence highlights their critical roles in cancer biology. These small RNAs influence a range of oncogenic processes, including tumor initiation, progression, metastasis, and resistance to therapy. By directly regulating the expression of oncogenes and tumor suppressor genes, mirtrons serve as key molecular mediators within cellular signaling pathways. What sets mirtrons apart from canonical miRNAs is their unique mode of biogenesis and structural attributes, which reveal alternative regulatory mechanisms that could be exploited in cancer biology. Recent advances in understanding their functions suggest that mirtrons hold significant potential as biomarkers for cancer diagnosis and prognosis. Additionally, their role as modulators of cancer pathways positions them as promising therapeutic targets in precision oncology. This review delves into the growing body of research on mirtrons, focusing on their biogenesis, biological roles, and implications in cancer. By emphasizing their distinct features and clinical relevance, it aims to provide a comprehensive perspective on the potential applications of mirtrons in advancing cancer diagnostics and therapeutics.
{"title":"Mirtrons in Human Cancers.","authors":"Yi-Ling Chen, Nicholas Pascuzzi, Alejandro Ruiz, Kuan-Hui Ethan Chen","doi":"10.3390/onco5010007","DOIUrl":"https://doi.org/10.3390/onco5010007","url":null,"abstract":"<p><p>Mirtrons represent a new subclass of microRNAs (miRNAs) that are processed through non-canonical biogenesis pathways. Unlike canonical miRNAs, which require Drosha-mediated cleavage, mirtrons are generated via the splicing of short intronic sequences, bypassing Drosha entirely. While mirtrons are found across a variety of organisms, their conservation between species is relatively low. This evolutionary divergence has resulted in mirtrons acquiring species-specific regulatory functions. In humans, mirtrons remain an understudied group of regulatory RNAs. However, emerging evidence highlights their critical roles in cancer biology. These small RNAs influence a range of oncogenic processes, including tumor initiation, progression, metastasis, and resistance to therapy. By directly regulating the expression of oncogenes and tumor suppressor genes, mirtrons serve as key molecular mediators within cellular signaling pathways. What sets mirtrons apart from canonical miRNAs is their unique mode of biogenesis and structural attributes, which reveal alternative regulatory mechanisms that could be exploited in cancer biology. Recent advances in understanding their functions suggest that mirtrons hold significant potential as biomarkers for cancer diagnosis and prognosis. Additionally, their role as modulators of cancer pathways positions them as promising therapeutic targets in precision oncology. This review delves into the growing body of research on mirtrons, focusing on their biogenesis, biological roles, and implications in cancer. By emphasizing their distinct features and clinical relevance, it aims to provide a comprehensive perspective on the potential applications of mirtrons in advancing cancer diagnostics and therapeutics.</p>","PeriodicalId":74339,"journal":{"name":"Onco","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12377645/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144981730","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-01Epub Date: 2024-09-26DOI: 10.3390/onco4040019
Cara Guernsey-Biddle, Peyton High, Kendra S Carmon
The epidermal growth factor receptor (EGFR) plays a critical role in regulating essential cellular processes that are frequently hijacked to promote cancer. In colorectal cancer (CRC) in particular, the EGFR signaling pathway is frequently hyperactivated via receptor and/or ligand overexpression and downstream oncogenic mutations. Current EGFR-targeted therapies for metastatic CRC (mCRC) include the monoclonal antibodies (mAbs) cetuximab and panitumumab. However, intrinsic and acquired resistance to EGFR-targeted mAbs are commonly observed. Thus, additional biomarkers are necessary to better understand patient sensitivity to EGFR-targeted therapies. Furthermore, therapeutic targeting of alternative EGFR pathway components may serve as one mechanism to overcome EGFR-targeted mAb resistance. In this review, we discuss the mounting evidence supporting EGFR ligands epiregulin (EREG) and amphiregulin (AREG), which are overexpressed in CRC with potential key roles in tumor progression, as predictive biomarkers for EGFR-targeted therapy sensitivity as well as mediators of therapy resistance; though further studies are necessary to validate the prognostic roles and mechanisms by which these ligands contribute to resistance. Additionally, we review recent advances towards therapeutic targeting of EREG and AREG in cancer through the development and use of EREG- and AREG-targeted monoclonal antibodies (mAbs) as well as antibody-drug conjugates (ADCs). We conclude with a discussion on the roadblocks to clinical implementation of EREG and AREG as biomarkers as well as approaches to enhance efficacy of current EREG- and AREG-targeted strategies.
{"title":"Exploring the Potential of Epiregulin and Amphiregulin as Prognostic, Predictive, and Therapeutic Targets in Colorectal Cancer.","authors":"Cara Guernsey-Biddle, Peyton High, Kendra S Carmon","doi":"10.3390/onco4040019","DOIUrl":"10.3390/onco4040019","url":null,"abstract":"<p><p>The epidermal growth factor receptor (EGFR) plays a critical role in regulating essential cellular processes that are frequently hijacked to promote cancer. In colorectal cancer (CRC) in particular, the EGFR signaling pathway is frequently hyperactivated via receptor and/or ligand overexpression and downstream oncogenic mutations. Current EGFR-targeted therapies for metastatic CRC (mCRC) include the monoclonal antibodies (mAbs) cetuximab and panitumumab. However, intrinsic and acquired resistance to EGFR-targeted mAbs are commonly observed. Thus, additional biomarkers are necessary to better understand patient sensitivity to EGFR-targeted therapies. Furthermore, therapeutic targeting of alternative EGFR pathway components may serve as one mechanism to overcome EGFR-targeted mAb resistance. In this review, we discuss the mounting evidence supporting EGFR ligands epiregulin (EREG) and amphiregulin (AREG), which are overexpressed in CRC with potential key roles in tumor progression, as predictive biomarkers for EGFR-targeted therapy sensitivity as well as mediators of therapy resistance; though further studies are necessary to validate the prognostic roles and mechanisms by which these ligands contribute to resistance. Additionally, we review recent advances towards therapeutic targeting of EREG and AREG in cancer through the development and use of EREG- and AREG-targeted monoclonal antibodies (mAbs) as well as antibody-drug conjugates (ADCs). We conclude with a discussion on the roadblocks to clinical implementation of EREG and AREG as biomarkers as well as approaches to enhance efficacy of current EREG- and AREG-targeted strategies.</p>","PeriodicalId":74339,"journal":{"name":"Onco","volume":"4 4","pages":"257-274"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12302966/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144735928","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
As precision medicine such as targeted therapy and immunotherapy often have limited accessibility, low response rate, and evolved resistance, it is urgent to develop simple, low-cost, and quick-turnaround personalized diagnostic technologies for drug response prediction with high sensitivity, speed, and accuracy. The major challenges of drug response prediction strategies employing digital database modeling are the scarcity of labeled clinical data, applicability only to a few classes of drugs, and losing the resolution at the individual patient level. Although these challenges have been partially addressed by large-scale cancer cell line datasets and more patient-relevant cell-based systems, the integration of different data types and data translation from pre-clinical to clinical utilities are still far-fetched. To overcome the current limitations of precision medicine with a clinically proven drug response prediction assay, we have developed an innovative and proprietary technology based on in vitro patient testing and in silico data analytics. First, a patient-derived gene expression signature was established via the transcriptomic profiling of cell-free mRNA (cfmRNA) from the patient’s blood. Second, a gene-to-drug data fusion and overlaying mechanism to transfer data were performed. Finally, a semi-supervised method was used for the database searching, matching, annotation, and ranking of drug efficacies from a pool of ~700 approved, investigational, or clinical trial drug candidates. A personalized drug response report can be delivered to inform clinical decisions within a week. The PGA (patient-derived gene expression-informed anticancer drug efficacy) test has significantly improved patient outcomes when compared to the treatment plans without PGA support. The implementation of PGA, which combines patient-unique cfmRNA fingerprints with drug mapping power, has the potential to identify treatment options when patients are no longer responding to therapy and when standard-of-care is exhausted.
{"title":"A Transformative Technology Linking Patient’s mRNA Expression Profile to Anticancer Drug Efficacy","authors":"Chen Yeh, Shu-Ti Lin, Hung-Chih Lai","doi":"10.3390/onco4030012","DOIUrl":"https://doi.org/10.3390/onco4030012","url":null,"abstract":"As precision medicine such as targeted therapy and immunotherapy often have limited accessibility, low response rate, and evolved resistance, it is urgent to develop simple, low-cost, and quick-turnaround personalized diagnostic technologies for drug response prediction with high sensitivity, speed, and accuracy. The major challenges of drug response prediction strategies employing digital database modeling are the scarcity of labeled clinical data, applicability only to a few classes of drugs, and losing the resolution at the individual patient level. Although these challenges have been partially addressed by large-scale cancer cell line datasets and more patient-relevant cell-based systems, the integration of different data types and data translation from pre-clinical to clinical utilities are still far-fetched. To overcome the current limitations of precision medicine with a clinically proven drug response prediction assay, we have developed an innovative and proprietary technology based on in vitro patient testing and in silico data analytics. First, a patient-derived gene expression signature was established via the transcriptomic profiling of cell-free mRNA (cfmRNA) from the patient’s blood. Second, a gene-to-drug data fusion and overlaying mechanism to transfer data were performed. Finally, a semi-supervised method was used for the database searching, matching, annotation, and ranking of drug efficacies from a pool of ~700 approved, investigational, or clinical trial drug candidates. A personalized drug response report can be delivered to inform clinical decisions within a week. The PGA (patient-derived gene expression-informed anticancer drug efficacy) test has significantly improved patient outcomes when compared to the treatment plans without PGA support. The implementation of PGA, which combines patient-unique cfmRNA fingerprints with drug mapping power, has the potential to identify treatment options when patients are no longer responding to therapy and when standard-of-care is exhausted.","PeriodicalId":74339,"journal":{"name":"Onco","volume":"43 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141650176","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Fernando Leporace-Jiménez, Isabel Portillo-Hernandez, Justino Jiménez-Almonacid, Ignacio Zubillaga Rodriguez, María Mejía-Nieto, Pablo Caballero Pedrero, G. S. Aniceto
Background: PD1 and its ligand PD-L1 are related to prognosis in many solid tumors; however, their role in oral squamous cell carcinoma (OSCC) remains unclear. Methods: A retrospective monocentric study including all patients with OSCC diagnosed and treated between January 2020 and May 2022 was performed. PD-L1 expression was assessed per a combined positive score (CPS), considering a CPS of > or equal to 1 as positive (1–20 indicating “low expression” and ≥20 indicating “high”). A descriptive analysis of the patient cohort and tumors was performed, including tumor size, stage, lymph node involvement, recurrence, and survival. Results: In total, 65 patients (65 tumors) were analyzed. A total of 66.15% of the tumors were in advanced stages (III-IV), of which 97.67% expressed PD-L1+, compared with 71.42% in the early stages (I–II). T4 tumors expressed PD-L1 in 100% of cases, compared with 54% in T1 tumors. A total of 50.79% of the tumors showed lymph node involvement (pN+), with 100% of the pN+ showing PD-L1+. The prevalence of pN+ was 59.38% vs. 40.63% for high vs. low PD-L1 expression, respectively. Patients’ follow-ups ranged from 2 to 34.5 months. No significant difference was seen between overall survival (OS) and PD-L1 +/− (CPS ≥ 1 vs. CPS < 1) or high (CPS ≥ 20) and low (CPS < 20) PD-L1 expression (p < 0.97 and 0.64, respectively). Conclusions: The method used to measure PD-L1 (a laboratory test with Dako 22C3 anti-PD-L1 primary antibodies) was reliable and accurate, with a correlation coefficient between PD-L1 expression in the biopsy and the surgical piece of 0.83 (p < 0.0001). A CPS of ≥1 was observed in large tumors (p < 0.001) and was correlated with that of lymph node metastases (p < 0.004). Further analysis of PD-L1 expression in OSCC and studies to determine its relevance in tumor biology and prognosis is needed.
{"title":"Revisiting the Role of PD-L1 Overexpression in Prognosis and Clinicopathological Features in Patients with Oral Squamous Cell Carcinoma","authors":"Fernando Leporace-Jiménez, Isabel Portillo-Hernandez, Justino Jiménez-Almonacid, Ignacio Zubillaga Rodriguez, María Mejía-Nieto, Pablo Caballero Pedrero, G. S. Aniceto","doi":"10.3390/onco4030011","DOIUrl":"https://doi.org/10.3390/onco4030011","url":null,"abstract":"Background: PD1 and its ligand PD-L1 are related to prognosis in many solid tumors; however, their role in oral squamous cell carcinoma (OSCC) remains unclear. Methods: A retrospective monocentric study including all patients with OSCC diagnosed and treated between January 2020 and May 2022 was performed. PD-L1 expression was assessed per a combined positive score (CPS), considering a CPS of > or equal to 1 as positive (1–20 indicating “low expression” and ≥20 indicating “high”). A descriptive analysis of the patient cohort and tumors was performed, including tumor size, stage, lymph node involvement, recurrence, and survival. Results: In total, 65 patients (65 tumors) were analyzed. A total of 66.15% of the tumors were in advanced stages (III-IV), of which 97.67% expressed PD-L1+, compared with 71.42% in the early stages (I–II). T4 tumors expressed PD-L1 in 100% of cases, compared with 54% in T1 tumors. A total of 50.79% of the tumors showed lymph node involvement (pN+), with 100% of the pN+ showing PD-L1+. The prevalence of pN+ was 59.38% vs. 40.63% for high vs. low PD-L1 expression, respectively. Patients’ follow-ups ranged from 2 to 34.5 months. No significant difference was seen between overall survival (OS) and PD-L1 +/− (CPS ≥ 1 vs. CPS < 1) or high (CPS ≥ 20) and low (CPS < 20) PD-L1 expression (p < 0.97 and 0.64, respectively). Conclusions: The method used to measure PD-L1 (a laboratory test with Dako 22C3 anti-PD-L1 primary antibodies) was reliable and accurate, with a correlation coefficient between PD-L1 expression in the biopsy and the surgical piece of 0.83 (p < 0.0001). A CPS of ≥1 was observed in large tumors (p < 0.001) and was correlated with that of lymph node metastases (p < 0.004). Further analysis of PD-L1 expression in OSCC and studies to determine its relevance in tumor biology and prognosis is needed.","PeriodicalId":74339,"journal":{"name":"Onco","volume":"65 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141652512","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Immunotherapy has paved the way for the development of solid tumor new treatments in the last decade. The approval of immune checkpoint inhibitors such as anti PD-1/PD-L1 provided a revolution with optimal results. However, a considerable proportion of patients experience adverse therapeutic effects, and up to 50% may develop secondary resistance in the first three to five years. This has prompted the need for identifying new targets for immunotherapy that have good tolerance and biosafety and, of course, good tumoral response, either alone or in combination. Two of these new targets are the Lymphocyte-activation gene 3 (LAG-3) and the T cell immunoglobulin and ITIM domain (TIGIT). They are responsible for several interactions with the immune system, prompting an immunosuppressive phenotype in the tumor microenvironment. Both LAG-3 and TIGIT can be druggable, alone or in combination with anti-PD-1/PD-L1, with rather safe profiles making them attractive. In this review, we highlight some of the immune mechanisms of TIGIT and LAG-3 and their detection by immunohistochemistry, providing some insight into their use in the clinical setting.
{"title":"The World of Immunotherapy Needs More Than PD-1/PD-L1—Two of the New Kids on the Block: LAG-3 and TIGIT","authors":"J. Gama, Paulo Teixeira, Rui Caetano Oliveira","doi":"10.3390/onco4030010","DOIUrl":"https://doi.org/10.3390/onco4030010","url":null,"abstract":"Immunotherapy has paved the way for the development of solid tumor new treatments in the last decade. The approval of immune checkpoint inhibitors such as anti PD-1/PD-L1 provided a revolution with optimal results. However, a considerable proportion of patients experience adverse therapeutic effects, and up to 50% may develop secondary resistance in the first three to five years. This has prompted the need for identifying new targets for immunotherapy that have good tolerance and biosafety and, of course, good tumoral response, either alone or in combination. Two of these new targets are the Lymphocyte-activation gene 3 (LAG-3) and the T cell immunoglobulin and ITIM domain (TIGIT). They are responsible for several interactions with the immune system, prompting an immunosuppressive phenotype in the tumor microenvironment. Both LAG-3 and TIGIT can be druggable, alone or in combination with anti-PD-1/PD-L1, with rather safe profiles making them attractive. In this review, we highlight some of the immune mechanisms of TIGIT and LAG-3 and their detection by immunohistochemistry, providing some insight into their use in the clinical setting.","PeriodicalId":74339,"journal":{"name":"Onco","volume":"82 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141691448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ana Filipa Ferreira, Tatiana Fernandes, Maria do Carmo Carvalho, Helena Soares Loureiro
The increase in new cancer diagnoses in the elderly calls for new, accessible, and easy-to-use prognostic tools that contribute to lowering the burden of the disease. Recognising the importance of inflammation and nutritional status in the progression of the disease, the purpose of this systematic review was to synthesise the evidence on the prognostic role of Prognostic Nutritional Index (PNI) and Controlling Nutritional Status (CONUT) in predicting survival of older adult cancer patients. A comprehensive search was conducted in PubMed and Web of Science Core Collection databases until 22 February 2024. The articles included in this review (n = 38) examined the relationships of PNI and CONUT with survival outcomes in elderly cancer patients. Despite high heterogeneity between the studies, most concluded that low PNI values are associated with poor overall survival (OS), particularly in gastric cancer patients. Most studies did not find an association between PNI and cancer-specific survival, progression-free survival, disease-free survival, recurrence-free survival, and mortality. Results regarding the prognostic role of CONUT in predicting survival were inconclusive. This study suggests that PNI could be used to predict OS in elderly cancer patients, while more studies are needed to assess the prognostic role of CONUT.
{"title":"The Prognostic Role of Prognostic Nutritional Index and Controlling Nutritional Status in Predicting Survival in Older Adults with Oncological Disease: A Systematic Review","authors":"Ana Filipa Ferreira, Tatiana Fernandes, Maria do Carmo Carvalho, Helena Soares Loureiro","doi":"10.3390/onco4020009","DOIUrl":"https://doi.org/10.3390/onco4020009","url":null,"abstract":"The increase in new cancer diagnoses in the elderly calls for new, accessible, and easy-to-use prognostic tools that contribute to lowering the burden of the disease. Recognising the importance of inflammation and nutritional status in the progression of the disease, the purpose of this systematic review was to synthesise the evidence on the prognostic role of Prognostic Nutritional Index (PNI) and Controlling Nutritional Status (CONUT) in predicting survival of older adult cancer patients. A comprehensive search was conducted in PubMed and Web of Science Core Collection databases until 22 February 2024. The articles included in this review (n = 38) examined the relationships of PNI and CONUT with survival outcomes in elderly cancer patients. Despite high heterogeneity between the studies, most concluded that low PNI values are associated with poor overall survival (OS), particularly in gastric cancer patients. Most studies did not find an association between PNI and cancer-specific survival, progression-free survival, disease-free survival, recurrence-free survival, and mortality. Results regarding the prognostic role of CONUT in predicting survival were inconclusive. This study suggests that PNI could be used to predict OS in elderly cancer patients, while more studies are needed to assess the prognostic role of CONUT.","PeriodicalId":74339,"journal":{"name":"Onco","volume":"19 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141273381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Synthetic peptides derived from antigen sequences are essential reagents for the detection of CD8+ cytotoxic T lymphocytes (CTLs), in assays such as ELISPOT/ImmunoSpot®. Indeed, the combination of peptides and ImmunoSpot® has been widely used for immune monitoring in numerous vaccine trials. Target antigens in pathogens or cancers may be large in size and multiple in number, often seemingly necessitating in silico peptide epitope predictions using algorithms and programs for certain HLA alleles to narrow down the numbers of required peptides. In this commentary, we discuss our data in the context of immune responses to viral and cancer antigens, concluding that systematic high-throughput immune monitoring of CD8+ T cells will provide more reliable insights on the host’s response to cancer than the reliance on select CD8+ T cell epitopes, no matter whether these are in silico predicted or even if they had been empirically established. We show the feasibility of large scale, high-throughput systematic CD8+ T cell epitope testing towards this goal.
在 ELISPOT/ImmunoSpot® 等检测方法中，源自抗原序列的合成肽是检测 CD8+ 细胞毒性 T 淋巴细胞 (CTL) 的基本试剂。事实上，多肽与 ImmunoSpot® 的结合已被广泛用于众多疫苗试验中的免疫监测。病原体或癌症中的靶抗原可能体积大、数量多，因此往往需要使用针对某些 HLA 等位基因的算法和程序来进行肽表位预测，以缩小所需肽体的数量。在这篇评论中，我们结合对病毒和癌症抗原的免疫反应讨论了我们的数据，并得出结论：对 CD8+ T 细胞进行系统的高通量免疫监测，比依赖选定的 CD8+ T 细胞表位更能可靠地了解宿主对癌症的反应，无论这些表位是在硅学中预测的，还是根据经验确定的。我们展示了为实现这一目标进行大规模、高通量系统性 CD8+ T 细胞表位测试的可行性。
{"title":"How Reliable Are Predictions of CD8+ T Cell Epitope Recognition? Lessons for Cancer","authors":"A. Lehmann, Paul V Lehmann, Stephen Todryk","doi":"10.3390/onco4020006","DOIUrl":"https://doi.org/10.3390/onco4020006","url":null,"abstract":"Synthetic peptides derived from antigen sequences are essential reagents for the detection of CD8+ cytotoxic T lymphocytes (CTLs), in assays such as ELISPOT/ImmunoSpot®. Indeed, the combination of peptides and ImmunoSpot® has been widely used for immune monitoring in numerous vaccine trials. Target antigens in pathogens or cancers may be large in size and multiple in number, often seemingly necessitating in silico peptide epitope predictions using algorithms and programs for certain HLA alleles to narrow down the numbers of required peptides. In this commentary, we discuss our data in the context of immune responses to viral and cancer antigens, concluding that systematic high-throughput immune monitoring of CD8+ T cells will provide more reliable insights on the host’s response to cancer than the reliance on select CD8+ T cell epitopes, no matter whether these are in silico predicted or even if they had been empirically established. We show the feasibility of large scale, high-throughput systematic CD8+ T cell epitope testing towards this goal.","PeriodicalId":74339,"journal":{"name":"Onco","volume":" 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140691843","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Philippa Lantwin, A. Kaczorowski, C. Nientiedt, C. Schwab, Martina Kirchner, V. Schütz, M. Görtz, Markus Hohenfellner, A. Duensing, A. Stenzinger, Stefan Duensing
Introduction: DNA damage repair gene deficiency defines a subgroup of prostate cancer patients with early metastatic progression and unfavorable disease outcome. Whether deficiency in DNA damage repair genes directly promotes metastatic dissemination is not completely understood. Methods: The migratory behavior of prostate cancer cells was analyzed after siRNA-mediated knockdown of DNA damage repair and checkpoint proteins, including BRCA2, ATM, and others, using transwell migration assays, scratch assays and staining for F-actin to ascertain cell circularity. Cells deficient in BRCA2 or ATM were tested for oxidative stress by measuring reactive oxygen species (ROS). The effects of ROS inhibition on cell migration were analyzed using the antioxidant N-acetylcysteine (NAC). The correlation between BRCA2 deficiency and oxidative stress was ascertained via immunohistochemistry for methylglyoxal (MG)-modified proteins in 15 genetically defined primary prostate cancers. Results: Prostate cancer cells showed a significantly increased migratory activity after the knockdown of BRCA2 or ATM. There was a significant increase in ROS production in LNCaP cells after BRCA2 knockdown and in PC-3 cells after BRCA2 or ATM knockdown. Remarkably, the ROS scavenger NAC abolished the enhanced motility of prostate cancer cells after the knockdown of BRCA2 or ATM. Primary prostate cancers harboring genetic alterations in BRCA2 showed a significant increase in MG-modified proteins, indicating enhanced oxidative stress in vivo. Conclusions: Our results indicate that DNA damage repair gene deficiency may contribute to the metastatic dissemination of prostate cancer through enhanced tumor cell migration involving oxidative stress.
{"title":"Deficiency in DNA Damage Repair Proteins Promotes Prostate Cancer Cell Migration through Oxidative Stress","authors":"Philippa Lantwin, A. Kaczorowski, C. Nientiedt, C. Schwab, Martina Kirchner, V. Schütz, M. Görtz, Markus Hohenfellner, A. Duensing, A. Stenzinger, Stefan Duensing","doi":"10.3390/onco4020005","DOIUrl":"https://doi.org/10.3390/onco4020005","url":null,"abstract":"Introduction: DNA damage repair gene deficiency defines a subgroup of prostate cancer patients with early metastatic progression and unfavorable disease outcome. Whether deficiency in DNA damage repair genes directly promotes metastatic dissemination is not completely understood. Methods: The migratory behavior of prostate cancer cells was analyzed after siRNA-mediated knockdown of DNA damage repair and checkpoint proteins, including BRCA2, ATM, and others, using transwell migration assays, scratch assays and staining for F-actin to ascertain cell circularity. Cells deficient in BRCA2 or ATM were tested for oxidative stress by measuring reactive oxygen species (ROS). The effects of ROS inhibition on cell migration were analyzed using the antioxidant N-acetylcysteine (NAC). The correlation between BRCA2 deficiency and oxidative stress was ascertained via immunohistochemistry for methylglyoxal (MG)-modified proteins in 15 genetically defined primary prostate cancers. Results: Prostate cancer cells showed a significantly increased migratory activity after the knockdown of BRCA2 or ATM. There was a significant increase in ROS production in LNCaP cells after BRCA2 knockdown and in PC-3 cells after BRCA2 or ATM knockdown. Remarkably, the ROS scavenger NAC abolished the enhanced motility of prostate cancer cells after the knockdown of BRCA2 or ATM. Primary prostate cancers harboring genetic alterations in BRCA2 showed a significant increase in MG-modified proteins, indicating enhanced oxidative stress in vivo. Conclusions: Our results indicate that DNA damage repair gene deficiency may contribute to the metastatic dissemination of prostate cancer through enhanced tumor cell migration involving oxidative stress.","PeriodicalId":74339,"journal":{"name":"Onco","volume":"21 19","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140372990","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Epithelial ovarian carcinoma (EOC) is the fifth leading cause of cancer-related death in women, largely reflecting the early dissemination of this malignant disease to the peritoneum. Due to its immunological features, EOC has poor response to immune checkpoint inhibitors (ICIs), including a limited tumor mutational burden (TMB), poor infiltration by immune cells, and active immunosuppression. Thus, novel strategies are needed to overcome the frequent lack of pre-existing immunity in patients with EOC. We developed and tested an autologous dendritic cell (DC)-based vaccine (DCVAC), which has recently been shown to be safe and to significantly improve progression-free survival (PFS) in two independent randomized phase II clinical trials enrolling patients with EOC (SOV01, NCT02107937; SOV02, NCT02107950). In addition, our exploratory data analyses suggest that the clinical benefits of the DCVAC were more pronounced in patients with EOC with lower-than-median TMBs and reduced CD8+ T cell infiltration. Thus, the DC-based vaccine stands out as a promising clinical tool to jumpstart anticancer immunity in patients with immunologically “cold” EOC. Our findings underscore the need for personalized immunotherapy and the clinical relevance of potential tumor-related biomarkers within the immunotherapy field. Additional clinical trials are needed to address these strategies as well as the potential value of the TMB and immune infiltration at baseline as biomarkers for guiding the clinical management of EOC.
{"title":"Dendritic Cell Immunotherapy for Ovarian Cancer: An Overview of Our Achievements","authors":"J. Bartůňková","doi":"10.3390/onco4010004","DOIUrl":"https://doi.org/10.3390/onco4010004","url":null,"abstract":"Epithelial ovarian carcinoma (EOC) is the fifth leading cause of cancer-related death in women, largely reflecting the early dissemination of this malignant disease to the peritoneum. Due to its immunological features, EOC has poor response to immune checkpoint inhibitors (ICIs), including a limited tumor mutational burden (TMB), poor infiltration by immune cells, and active immunosuppression. Thus, novel strategies are needed to overcome the frequent lack of pre-existing immunity in patients with EOC. We developed and tested an autologous dendritic cell (DC)-based vaccine (DCVAC), which has recently been shown to be safe and to significantly improve progression-free survival (PFS) in two independent randomized phase II clinical trials enrolling patients with EOC (SOV01, NCT02107937; SOV02, NCT02107950). In addition, our exploratory data analyses suggest that the clinical benefits of the DCVAC were more pronounced in patients with EOC with lower-than-median TMBs and reduced CD8+ T cell infiltration. Thus, the DC-based vaccine stands out as a promising clinical tool to jumpstart anticancer immunity in patients with immunologically “cold” EOC. Our findings underscore the need for personalized immunotherapy and the clinical relevance of potential tumor-related biomarkers within the immunotherapy field. Additional clinical trials are needed to address these strategies as well as the potential value of the TMB and immune infiltration at baseline as biomarkers for guiding the clinical management of EOC.","PeriodicalId":74339,"journal":{"name":"Onco","volume":"137 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140223704","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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