Journal Description
Onco
Onco
is an international, peer-reviewed, open access journal on the whole field of oncotargets and cancer therapies research published quarterly online by MDPI.
- Open Access— free for readers, with article processing charges (APC) paid by authors or their institutions.
- Rapid Publication: manuscripts are peer-reviewed and a first decision is provided to authors approximately 18.3 days after submission; acceptance to publication is undertaken in 2.3 days (median values for papers published in this journal in the second half of 2023).
- Recognition of Reviewers: APC discount vouchers, optional signed peer review, and reviewer names published annually in the journal.
- Onco is a companion journal of Cancers.
Latest Articles
The Prognostic Role of Prognostic Nutritional Index and Controlling Nutritional Status in Predicting Survival in Older Adults with Oncological Disease: A Systematic Review
Onco 2024, 4(2), 101-115; https://doi.org/10.3390/onco4020009 - 2 Jun 2024
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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
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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.
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Open AccessReview
Can Tumour Antigens Act as Biomarkers for the Early Detection of Non-Small Cell Lung Cancer?
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Eithar Mohamed, Daniel Fletcher, Simon Hart and Barbara-ann Guinn
Onco 2024, 4(2), 87-100; https://doi.org/10.3390/onco4020008 - 31 May 2024
Abstract
Lung cancer (LC) is one of the leading causes of cancer-related deaths. Pulmonary nodules are one of the risk factors, and their discovery rate has been increasing due to enhanced performance of chest CT scans, but more than 90% are non-malignant, causing unnecessary
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Lung cancer (LC) is one of the leading causes of cancer-related deaths. Pulmonary nodules are one of the risk factors, and their discovery rate has been increasing due to enhanced performance of chest CT scans, but more than 90% are non-malignant, causing unnecessary stress to patients and costs to healthcare providers. Early diagnosis of LC is associated with a 5-year survival rate of up to 75% following surgical resection, but LC is often diagnosed late due to a lack of symptoms and poor 5-year survival rates as low as 10%. The cost of LC diagnosis is high, with 40% of it associated with benign lesions, which are difficult to differentiate from malignant lesions. Tumour-associated antigens (TAAs) may provide one way in which LC could be diagnosed early using minimally-invasive techniques, under their association with immune responses and specificity for disease. Here we discuss the potential of cancer-testis antigens (CTAs) to act as non-invasive biomarkers for the early detection of non-small cell lung cancer.
Full article
(This article belongs to the Special Issue Progress in Vaccination against Cancer - 2023 (PIVAC-23))
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Open AccessArticle
Inhibitory Effects of Metformin for Pancreatic Neuroendocrine Neoplasms: Experimental Study on Mitochondrial Function
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Shogo Maruzen, Seiichi Munesue, Mitsuyoshi Okazaki, Satoshi Takada, Shinichi Nakanuma, Isamu Makino, Linxiang Gong, Susumu Kohno, Chiaki Takahashi, Hidehiro Tajima, Yasuhiko Yamamoto and Shintaro Yagi
Onco 2024, 4(2), 77-86; https://doi.org/10.3390/onco4020007 - 27 Apr 2024
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Although pancreatic neuroendocrine neoplasms (panNENs) are much less common and have a better prognosis than exocrine pancreatic cancers, their recurrence rate is not low, even in Grade 1 (World Health Organization classification) panNEN. Recently, there have been several reports that the progression-free survival
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Although pancreatic neuroendocrine neoplasms (panNENs) are much less common and have a better prognosis than exocrine pancreatic cancers, their recurrence rate is not low, even in Grade 1 (World Health Organization classification) panNEN. Recently, there have been several reports that the progression-free survival in patients with unresectable panNEN could be improved by an antidiabetic drug, metformin, with the co-treatment of everolimus or a somatostatin analog. In this study, we aimed to evaluate the effects of metformin on cell metabolism and viability using the panNEN cell line, QGP-1, and RIN-m in culture. We observed an inhibitory effect of metformin on QGP-1 cell proliferation in a dose-dependent manner. Metformin was found to decrease the oxygen consumption rate in QGP-1 and RIN-m cells after metformin 48 h treatment and immediately after exposure. Cell proliferation was suppressed after metformin treatment. Phosphorylated adenosine monophosphate-activated protein kinase (AMPK) expression was increased, and cyclin D1 expression was decreased in RIN-m cells 24 h after metformin treatment by Western blotting in a dose-dependent manner. In conclusion, suppressive mitochondrial respiration and AMPK activation by metformin are, thus, suggested to inhibit panNEN cell viability and cell survival.
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Open AccessCommentary
How Reliable Are Predictions of CD8+ T Cell Epitope Recognition? Lessons for Cancer
by
Alexander A. Lehmann, Paul V. Lehmann and Stephen Todryk
Onco 2024, 4(2), 68-76; https://doi.org/10.3390/onco4020006 - 17 Apr 2024
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
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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.
Full article
(This article belongs to the Special Issue Progress in Vaccination against Cancer - 2023 (PIVAC-23))
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Open AccessArticle
Deficiency in DNA Damage Repair Proteins Promotes Prostate Cancer Cell Migration through Oxidative Stress
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Philippa Lantwin, Adam Kaczorowski, Cathleen Nientiedt, Constantin Schwab, Martina Kirchner, Viktoria Schütz, Magdalena Görtz, Markus Hohenfellner, Anette Duensing, Albrecht Stenzinger and Stefan Duensing
Onco 2024, 4(2), 56-67; https://doi.org/10.3390/onco4020005 - 28 Mar 2024
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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
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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.
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Open AccessReview
Dendritic Cell Immunotherapy for Ovarian Cancer: An Overview of Our Achievements
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Jiřina Bartůňková
Onco 2024, 4(1), 46-55; https://doi.org/10.3390/onco4010004 - 21 Mar 2024
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
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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.
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(This article belongs to the Special Issue Progress in Vaccination against Cancer - 2023 (PIVAC-23))
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Open AccessCommentary
When Therapy-Induced Cancer Cell Apoptosis Fuels Tumor Relapse
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Razmik Mirzayans
Onco 2024, 4(1), 37-45; https://doi.org/10.3390/onco4010003 - 4 Feb 2024
Cited by 1
Abstract
Most therapeutic strategies for solid tumor malignancies are designed based on the hypothesis that cancer cells evade apoptosis to exhibit therapy resistance. This is somewhat surprising given that clinical studies published since the 1990s have demonstrated that increased apoptosis in solid tumors is
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Most therapeutic strategies for solid tumor malignancies are designed based on the hypothesis that cancer cells evade apoptosis to exhibit therapy resistance. This is somewhat surprising given that clinical studies published since the 1990s have demonstrated that increased apoptosis in solid tumors is associated with cancer aggressiveness and poor clinical outcome. This is consistent with more recent reports demonstrating non-canonical (pro-survival) roles for apoptotic caspases, including caspase 3, as well as the ability of cancer cells to recover from late stages of apoptosis via a process called anastasis. These activities are essential for the normal development and maintenance of a healthy organism, but they also enable malignant cells (including cancer stem cells) to resist anticancer treatment and potentially contribute to clinical dormancy (minimal residual disease). Like apoptosis, therapy-induced cancer cell dormancy (durable proliferation arrest reflecting various manifestations of genome chaos) is also not obligatorily a permanent cell fate. However, as briefly discussed herein, compelling pre-clinical studies suggest that (reversible) dormancy might be the “lesser evil” compared to treacherous apoptosis.
Full article
(This article belongs to the Special Issue Targeting of Tumor Dormancy Pathway)
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Open AccessReview
Significance of PET/CT Imaging in Myeloma Assessment: Exploring Novel Applications beyond Osteolytic Lesion Detection and Treatment Response
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Mahdi Zirakchian Zadeh
Onco 2024, 4(1), 15-36; https://doi.org/10.3390/onco4010002 - 9 Jan 2024
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In multiple myeloma (MM), specific cytokines produced by plasma cells disrupt the equilibrium between osteoblasts and osteoclasts. As a result, MM patients experience an increase in osteoclast activity and a decrease in osteoblast activity. This disparity is fundamental to the development of myeloma
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In multiple myeloma (MM), specific cytokines produced by plasma cells disrupt the equilibrium between osteoblasts and osteoclasts. As a result, MM patients experience an increase in osteoclast activity and a decrease in osteoblast activity. This disparity is fundamental to the development of myeloma bone disease. Lytic lesions, which are a feature of MM, can result in pathologic fractures and excruciating pain. For many years, whole-body X-ray radiography has been the standard imaging method for identifying lytic lesions. However, its sensitivity is limited because it can only detect lesions once the bone mass has been reduced by 30% to 50%. Hence, utilizing advanced and sensitive imaging modalities, such as positron emission tomography (PET) fused with computed tomography (CT), is crucial for the early detection of osteolytic lesions. Among radiotracers used in PET imaging, 1⁸F-fluorodeoxyglucose ([18F]FDG) is the most commonly employed in the field of oncology. Currently, most guidelines include [18F]FDG PET/CT in the assessment of myeloma patients, particularly for detecting osteolytic lesions, evaluating treatment response, and assessing extramedullary and residual disease. Nonetheless, in recent years, new applications of PET/CT for evaluating myeloma have been investigated. These include assessing aspects such as bone turnover, dual-time-point imaging (early and delayed scans), the impact of chemotherapy on the brain (commonly known as ‘chemo brain’), innovative PET radiotracers, and the use of artificial intelligence technology. This article aims to provide a comprehensive review of both conventional and innovative uses of PET/CT in evaluating multiple myeloma.
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Open AccessSystematic Review
Predictors of Complete Pathological Response with Chemoimmunotherapy in Triple-Negative Breast Cancer: A Meta-Analysis
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Arya Mariam Roy, Supritha Chintamaneni, Sabah Alaklabi, Hassan Awada, Kristopher Attwood and Shipra Gandhi
Onco 2024, 4(1), 1-14; https://doi.org/10.3390/onco4010001 - 28 Dec 2023
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Background: Multiple randomized controlled trials (RCTs) have investigated the impact of adding checkpoint inhibitors to neoadjuvant chemotherapy for triple-negative breast cancer (TNBC) patients. However, there is a lack of biomarkers that can help identify patients who would benefit from combination therapy. Our research
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Background: Multiple randomized controlled trials (RCTs) have investigated the impact of adding checkpoint inhibitors to neoadjuvant chemotherapy for triple-negative breast cancer (TNBC) patients. However, there is a lack of biomarkers that can help identify patients who would benefit from combination therapy. Our research identifies response predictors and assesses the effectiveness of adding immunotherapy to neoadjuvant chemotherapy for TNBC patients. Methods: We identified eligible RCTs by searching PubMed, Cochrane CENTRAL, Embase, and oncological meetings. For this meta-analysis, we obtained odds ratios using the standard random effects model. To assess the heterogeneity of the study outcomes, the I2 statistic was obtained. Potential bias was assessed using a funnel plot and the corresponding Egger’s test. Results: In total, 1637 patients with TNBC were included from five RCTs. Neoadjuvant chemoimmunotherapy significantly improved pCR when compared to neoadjuvant chemotherapy alone. In the subgroup analysis, neoadjuvant chemoimmunotherapy showed higher pCR rates in both Programmed death-ligand 1 (PD-L1)-positive and PD-L1-negative TNBC patients. An Eastern Cooperative Oncology Group (ECOG) performance score (PS) of 0 correlated with increased pCRs (OR = 1.9, p < 0.001) in neoadjuvant chemoimmunotherapy vs. neoadjuvant chemotherapy, but no benefit was observed for patients with ECOG PS 1. Nodal positivity was significantly associated with pCR (OR = 2.52, p < 0.001), while neoadjuvant chemoimmunotherapy did not benefit patients with negative lymph nodes. Conclusions: Checkpoint inhibition and neoadjuvant chemotherapy significantly increased pCRs in TNBC patients, regardless of their PDL-1 status. Additional checkpoint inhibitors improved pCR rates, mainly for patients with ECOG PS 0 and lymph node-positive disease.
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Open AccessArticle
Anticancer Effects of Fucoxanthin in a PDX Model of Advanced Stage Pancreatic Cancer with Alteration of Several Multifunctional Molecules
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Masaru Terasaki, Sally Suzuki, Takuji Tanaka, Hayato Maeda, Masaki Shibata, Kazuo Miyashita, Yasuhiro Kuramitsu, Junichi Hamada, Tohru Ohta, Shigehiro Yagishita, Akinobu Hamada, Yasunari Sakamoto, Susumu Hijioka, Chigusa Morizane and Mami Takahashi
Onco 2023, 3(4), 217-236; https://doi.org/10.3390/onco3040016 - 24 Sep 2023
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Pancreatic cancer (PC) is one of the most fatal cancers, and there is an urgent need to develop new anticancer agents with fewer side effects for the treatment of this condition. A patient-derived xenograft (PDX) mouse model transplanted with cancer tissue from patients
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Pancreatic cancer (PC) is one of the most fatal cancers, and there is an urgent need to develop new anticancer agents with fewer side effects for the treatment of this condition. A patient-derived xenograft (PDX) mouse model transplanted with cancer tissue from patients is widely accepted as the best preclinical model for evaluating the anticancer potential of drug candidates. Fucoxanthin (Fx) is a highly polar carotenoid contained in edible marine brown algae and possesses anticancer activity. However, there is a lack of data on the effects of Fx in PDX models. We investigated the anticancer effects of Fx in PDX mice transplanted with cancer tissues derived from a patient with PC (PC-PDX) using comprehensive protein expression assay. Fx administration (0.3%Fx diet) ad libitum for 27 days significantly abrogated tumor development (0.4-fold) and induced tumor differentiation in PC-PDX mice, as compared to those in the control mice. Fx significantly upregulated the expression of non-glycanated DCN (2.4-fold), tended to increase the expressions of p-p38(Thr180/Tyr182) (1.6-fold) and pJNK(Thr183/Tyr185) (1.8-fold), significantly downregulated IGFBP2 (0.6-fold) and EpCAM (0.7-fold), and tended to decrease LCN2 (0.6-fold) levels in the tumors of the PC-PDX mice, as compared to those in the control mice. Some of the protein expression patterns were consistent with the in vitro experiments. That is, treatment of fucoxanthinol (FxOH), a prime metabolite derived from dietary Fx, enhanced non-glycanated DCN, p-p38(Thr180/Tyr182), and pJNK(Thr183/Tyr185) levels in human PC PANC-1 and BxPC-3 cells.These results suggested that Fx exerts anticancer and differentiation effects in a PC-PDX mice through alterations of some multifunctional molecules.
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Open AccessReview
The Organization of Contemporary Biobanks for Translational Cancer Research
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Vasiliki Gkioka, Olga Balaoura, Maria Goulielmaki and Constantin N. Baxevanis
Onco 2023, 3(4), 205-216; https://doi.org/10.3390/onco3040015 - 22 Sep 2023
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Cancer biobanks have a crucial role in moving forward the field of translational cancer research and, therefore, have been promoted as indispensable tools for advancing basic biomedical research to preclinical and clinical research, ultimately leading to the design of clinical trials. Consequently, they
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Cancer biobanks have a crucial role in moving forward the field of translational cancer research and, therefore, have been promoted as indispensable tools for advancing basic biomedical research to preclinical and clinical research, ultimately leading to the design of clinical trials. Consequently, they play an essential role in the establishment of personalized oncology by combining biological data with registries of detailed medical records. The availability of complete electronic medical reports from individualized patients has led to personalized approaches for diagnosis, prognosis, and prediction. To this end, identifying risk factors at early time points is important for designing more effective treatments unique for each patient. Under this aspect, biobanking is essential for accomplishing improvements in the field of precision oncology via the discovery of biomarkers related to cellular and molecular pathways regulating oncogenic signaling. In general terms, biological samples are thought to reflect the patient’s disease biology, but under certain conditions, these may also represent responses to various biological stresses. Divergent collection, handling, and storage methods may significantly change biosamples’ inherent biological properties. The alteration or loss of biological traits post-collection would lead to the discovery of nonreliable biomarkers and, consequently, to irreproducible results, thus constituting a formidable obstacle regarding the successful translation of preclinical research to clinical approaches. Therefore, a necessary prerequisite for successful biobanking is that the stored biological samples retain their biological characteristics unchanged. The application of quality standards for biospecimen collection and storage could be useful for generating encouraging preclinical data leading to the successful translation to clinical treatment approaches. Herein, we aim to comprehensively review the issues linked to biobank implementation for promoting cancer research.
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Open AccessReview
ROS1-Rearranged Lung Adenocarcinoma: From Molecular Genetics to Target Therapy
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Ugo Testa, Germana Castelli and Elvira Pelosi
Onco 2023, 3(3), 189-204; https://doi.org/10.3390/onco3030014 - 22 Aug 2023
Abstract
Non-small-cell lung cancer (NSCLC) is a heterogeneous group of diseases accounting for 80–85% of lung cancers. A molecular subset of NSCLC (1–2.5%) harboring molecular rearrangements of the tyrosine kinase gene ROS1 is defined as ROS1-positive and is almost exclusively diagnosed in patients with
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Non-small-cell lung cancer (NSCLC) is a heterogeneous group of diseases accounting for 80–85% of lung cancers. A molecular subset of NSCLC (1–2.5%) harboring molecular rearrangements of the tyrosine kinase gene ROS1 is defined as ROS1-positive and is almost exclusively diagnosed in patients with lung adenocarcinoma histology, predominantly nonsmokers. ROS1 is constitutively activated by molecular rearrangements and acts as a main driver of lung carcinogenesis. These findings have provided a strong rationale for the clinical use of tyrosine kinase inhibitors that target ROS1; these inhibitors block ROS1-positive NSCLC and provide clinical benefit. Crizotinib was introduced as a first-line treatment for ROS1-positive NSCLCs, with 75–80% of patients responding and a PFS of about 20 months. More recently developed ROS1-TKIs, such as entrectinib, lorlatinib, taletrectinib, repotrectinib and NVL-520, are active against some resistant ROS1 mutants appearing during crizotinib therapy and more active against brain metastases, frequent in ROS1-positive NSCLC. The development of resistance mechanisms represents a great limitation for the targeted treatment of ROS1-positive NSCLCs with TKIs.
Full article
(This article belongs to the Special Issue Current Challenge and Future Advances for Lung Cancer: Genetics, Instrumental Diagnosis and Treatment 2.0)
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Open AccessArticle
Machine Learning-Based Model Helps to Decide which Patients May Benefit from Pancreatoduodenectomy
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Emanuel Vigia, Luís Ramalhete, Edite Filipe, Luís Bicho, Ana Nobre, Paulo Mira, Maria Macedo, Catarina Aguiar, Sofia Corado, Beatriz Chumbinho, Jorge Balaia, Pedro Custódio, João Gonçalves and Hugo P. Marques
Onco 2023, 3(3), 175-188; https://doi.org/10.3390/onco3030013 - 10 Aug 2023
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Pancreatic ductal adenocarcinoma is an invasive tumor with similar incidence and mortality rates. Pancreaticoduodenectomy has morbidity and mortality rates of up to 60% and 5%, respectively. The purpose of our study was to assess preoperative features contributing to unfavorable 1-year survival prognosis. Study
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Pancreatic ductal adenocarcinoma is an invasive tumor with similar incidence and mortality rates. Pancreaticoduodenectomy has morbidity and mortality rates of up to 60% and 5%, respectively. The purpose of our study was to assess preoperative features contributing to unfavorable 1-year survival prognosis. Study Design: Retrospective, single-center study evaluating the impact of preoperative features on short-term survival outcomes in head PDAC patients. Forty-four prior features of 172 patients were tested using different supervised machine learning models. Patient records were randomly divided into training and validation sets (80–20%, respectively), and model performance was assessed by area under curve (AUC) and classification accuracy (CA). Additionally, 33 patients were included as an independent revalidation or holdout dataset group. Results: Eleven relevant features were identified: age, sex, Ca-19-9, jaundice, ERCP with biliary stent, neutrophils, lymphocytes, lymphocyte/neutrophil ratio, neoadjuvant treatment, imaging tumor size, and ASA. Tree regression (tree model) and logistic regression (LR) performed better than the other tested models. The tree model had an AUC = 0.92 and CA = 0.85. LR had an AUC = 0.74 and CA = 0.78, allowing the development of a nomogram based on absolute feature significance. The best performance model was the tree model which allows us to have a decision tree to help clinical decisions. Discussion and conclusions: Based only on preoperative data, it was possible to predict 1-year survival (91.5% vs. 78.1% alive and 70.9% vs. 76.6% deceased for the tree model and LR, respectively). These results contribute to informed decision-making in the selection of which patients with PDAC can benefit from pancreatoduodenectomy. A machine learning algorithm was developed for the recognition of unfavorable 1-year survival prognosis in patients with pancreatic ductal adenocarcinoma. This will contribute to the identification of patients who would benefit from pancreatoduodenectomy. In our cohort, the tree regression model had an AUC = 0.92 and CA = 0.85, whereas the logistic regression had an AUC = 0.74 and CA = 0.78. To further inform decision-making, a decision tree based on tree regression was developed.
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Open AccessArticle
Peripheral Blood CD8+ T-Lymphocyte Subsets Are Associated with Prognosis in Prostate Cancer Patients
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Constantin N. Baxevanis, Savvas Stokidis, Maria Goulielmaki, Angelos D. Gritzapis and Sotirios P. Fortis
Onco 2023, 3(3), 165-174; https://doi.org/10.3390/onco3030012 - 26 Jul 2023
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Background: Various studies have reported associations between frequencies of total peripheral blood lymphocytes and prostate cancer prognosis, but none so far has addressed the prognostic role of CD8+ T-lymphocyte subsets. Methods: A total of 43 prostate cancer patients with metastatic disease and 81
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Background: Various studies have reported associations between frequencies of total peripheral blood lymphocytes and prostate cancer prognosis, but none so far has addressed the prognostic role of CD8+ T-lymphocyte subsets. Methods: A total of 43 prostate cancer patients with metastatic disease and 81 patients with non-metastatic disease were included in this study. Flow cytometry analyses were employed for determining the frequencies of peripheral CD8+ T-lymphocyte subsets. Results: Statistically significant lower levels of terminally differentiated effector (TEMRA) cells in patients with non-metastatic disease vs. patients with metastatic disease were observed. Central memory (CM) and effector memory (EM) CD8+ subsets, were found to be significantly higher in patients with non-metastatic disease vs. patients with metastatic disease. A similar profile was revealed when these CD8+ subsets were analyzed based on the patients’ Gleason scores, as well as by combined disease stage (i.e., non-metastatic vs. metastatic disease) and Gleason score. Conclusions: Peripheral blood-derived CD8+ T-lymphocyte memory subsets could function as biomarkers for the prognosis of PCa.
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Open AccessReview
NUP98 Rearrangements in AML: Molecular Mechanisms and Clinical Implications
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Sagarajit Mohanty
Onco 2023, 3(3), 147-164; https://doi.org/10.3390/onco3030011 - 18 Jul 2023
Cited by 2
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NUP98 fusions constitute a small subgroup of AML patients and remain a high-risk AML subtype. There are approximately 30 types of NUP98 fusions identified in AML patients. These patients show resistance to currently available therapies and poor clinical outcomes. NUP98 fusions with different
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NUP98 fusions constitute a small subgroup of AML patients and remain a high-risk AML subtype. There are approximately 30 types of NUP98 fusions identified in AML patients. These patients show resistance to currently available therapies and poor clinical outcomes. NUP98 fusions with different fusion partners have oncogenic transformation potential. This review describes how the NUP98 gene acquires oncogenic properties after rearrangement with multiple partners. In the mechanistic part, the formation of nuclear bodies and dysregulation of the HoxA/Meis1 pathway are highlighted. This review also discusses mutational signatures among NUP98 fusions and their significance in leukemogenesis. It also discusses the clinical implications of NUP98 fusions and their associated mutations in AML patients. Furthermore, it highlights therapeutic vulnerabilities in these leukemias that can be exploited as therapeutic strategies. Lastly, this review discusses the gaps in our knowledge regarding NUP98 fusions in AML, as well as future research opportunities.
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Open AccessReview
Precision Medicine Revolutionizing Esophageal Cancer Treatment: Surmounting Hurdles and Enhancing Therapeutic Efficacy through Targeted Drug Therapies
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Poojarani Panda, Henu Kumar Verma and Lakkakula V. K. S. Bhaskar
Onco 2023, 3(3), 127-146; https://doi.org/10.3390/onco3030010 - 15 Jul 2023
Cited by 1
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Esophageal cancer is a formidable challenge in the realm of cancer treatment. Conventional methods such as surgery, chemotherapy, and immunotherapy have demonstrated limited success rates in managing this disease. In response, targeted drug therapies have emerged as a promising strategy to improve outcomes
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Esophageal cancer is a formidable challenge in the realm of cancer treatment. Conventional methods such as surgery, chemotherapy, and immunotherapy have demonstrated limited success rates in managing this disease. In response, targeted drug therapies have emerged as a promising strategy to improve outcomes for patients. These therapies aim to disrupt specific pathways involved in the growth and development of esophageal cancer cells. This review explores various drugs used to target specific pathways, including cetuximab and monoclonal antibodies (gefitinib) that target the epidermal growth factor receptor (EGFR), trastuzumab that targets human epidermal growth factor receptor 2 (HER-2), drugs targeting the vascular endothelial growth factor receptor (VEGFR), mTOR inhibitors, and cMET inhibitors. Additionally, the article discusses the impact of drug resistance on the effectiveness of these therapies, highlighting factors such as cancer stem cells, cancer-associated fibroblasts, immune-inflammatory cells, cytokines, hypoxia, and growth factors. While drug targeting approaches do not provide a complete cure for esophageal cancer due to drug resistance and associated side effects, they offer potential for improving patient survival rates.
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Open AccessEditorial
Onco: A Promising Player Amidst Oncology Journals
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Constantin N. Baxevanis
Onco 2023, 3(2), 125-126; https://doi.org/10.3390/onco3020009 - 1 Jun 2023
Abstract
As the new Editor-in-Chief of the journal, I believe that I must continue the efforts of my predecessor even more actively and with greater enthusiasm and dedication so that the journal becomes a pole of attraction for the publication of excellent studies of
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As the new Editor-in-Chief of the journal, I believe that I must continue the efforts of my predecessor even more actively and with greater enthusiasm and dedication so that the journal becomes a pole of attraction for the publication of excellent studies of basic, translational and clinical research for the treatment of cancer [...]
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A Comprehensive Review on the Role of Human Epidermal Growth Factor Receptor 2 (HER2) as a Biomarker in Extra-Mammary and Extra-Gastric Cancers
by
Fnu Amisha, Paras Malik, Prachi Saluja, Nitesh Gautam, Tanvi Harishbhai Patel, Arya Mariam Roy, Sunny R. K. Singh and Sindhu Janarthanam Malapati
Onco 2023, 3(2), 96-124; https://doi.org/10.3390/onco3020008 - 26 May 2023
Cited by 2
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The human epidermal growth factor receptors (HERs) are expressed abundantly in the human body. The tumorigenic potential of HER2/neu is linked to its overexpression, amplification or somatic mutation. The HER2 gene amplification leading to protein overexpression has been reported in 25–30% of breast
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The human epidermal growth factor receptors (HERs) are expressed abundantly in the human body. The tumorigenic potential of HER2/neu is linked to its overexpression, amplification or somatic mutation. The HER2 gene amplification leading to protein overexpression has been reported in 25–30% of breast cancers and 10–30% of gastric/gastroesophageal cancers. While HER2 is a well-documented predictive, prognostic, and therapeutic marker in breast and gastric/gastroesophageal cancers, its relevance has also been demonstrated in multiple other malignancies. In this article, we will conduct an extensive review of current data pertaining to HER2 amplification, overexpression, or mutation in cancers other than breast and gastric cancers.
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Transcriptome Analysis Identifies Tumor Immune Microenvironment Signaling Networks Supporting Metastatic Castration-Resistant Prostate Cancer
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Lawrence P. McKinney, Rajesh Singh, I. King Jordan, Sooryanarayana Varambally, Eric B. Dammer and James W. Lillard, Jr.
Onco 2023, 3(2), 81-95; https://doi.org/10.3390/onco3020007 - 10 Apr 2023
Abstract
Prostate cancer (PCa) is the second most common cause of cancer death in American men. Metastatic castration-resistant prostate cancer (mCRPC) is the most lethal form of PCa and preferentially metastasizes to the bones through incompletely understood molecular mechanisms. Herein, we processed RNA sequencing
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Prostate cancer (PCa) is the second most common cause of cancer death in American men. Metastatic castration-resistant prostate cancer (mCRPC) is the most lethal form of PCa and preferentially metastasizes to the bones through incompletely understood molecular mechanisms. Herein, we processed RNA sequencing data from patients with mCRPC (n = 60) and identified 14 gene clusters (modules) highly correlated with mCRPC bone metastasis. We used a novel combination of weighted gene co-expression network analysis (WGCNA) and upstream regulator and gene ontology analyses of clinically annotated transcriptomes to identify the genes. The cyan module (M14) had the strongest positive correlation (0.81, p = 4 × 10−15) with mCRPC bone metastasis. It was associated with two significant biological pathways through KEGG enrichment analysis (parathyroid hormone synthesis, secretion, and action and protein digestion and absorption). In particular, we identified 10 hub genes (ALPL, PHEX, RUNX2, ENPP1, PHOSPHO1, PTH1R, COL11A1, COL24A1, COL22A1, and COL13A1) using cytoHubba of Cytoscape. We also found high gene expression for collagen formation, degradation, absorption, cell-signaling peptides, and bone regulation processes through Gene Ontology (GO) enrichment analysis.
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(This article belongs to the Topic Molecular Profiling and Identification of Molecular Signatures Associated with Tissue Development, Tumorigenesis, and Anticancer Agents’ Action)
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Open AccessArticle
CT Radiomics and Clinical Feature Model to Predict Lymph Node Metastases in Early-Stage Testicular Cancer
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Catharina Silvia Lisson, Sabitha Manoj, Daniel Wolf, Jasper Schrader, Stefan Andreas Schmidt, Meinrad Beer, Michael Goetz, Friedemann Zengerling and Christoph Gerhard Sebastian Lisson
Onco 2023, 3(2), 65-80; https://doi.org/10.3390/onco3020006 - 10 Apr 2023
Cited by 2
Abstract
Accurate retroperitoneal lymph node metastasis (LNM) prediction in early-stage testicular germ cell tumours (TGCTs) harbours the potential to significantly reduce over- or undertreatment and treatment-related morbidity in this group of young patients as an important survivorship imperative. We investigated the role of computed
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Accurate retroperitoneal lymph node metastasis (LNM) prediction in early-stage testicular germ cell tumours (TGCTs) harbours the potential to significantly reduce over- or undertreatment and treatment-related morbidity in this group of young patients as an important survivorship imperative. We investigated the role of computed tomography (CT) radiomics models integrating clinical predictors for the individualised prediction of LNM in early-stage TGCT. Ninety-one patients with surgically proven testicular germ cell tumours and contrast-enhanced CT were included in this retrospective study. Dedicated radiomics software was used to segment 273 retroperitoneal lymph nodes and extract features. After feature selection, radiomics-based machine learning models were developed to predict LN metastasis. The robustness of the procedure was controlled by 10-fold cross-validation. Using multivariable logistic regression modelling, we developed three prediction models: a radiomics-only model, a clinical-only model, and a combined radiomics–clinical model. The models’ performances were evaluated using the area under the receiver operating characteristic curve (AUC). Finally, decision curve analysis was performed to estimate the clinical usefulness of the predictive model. The radiomics-only model for predicting lymph node metastasis reached a greater discrimination power than the clinical-only model, with an AUC of 0.87 (±0.04; 95% CI) vs. 0.75 (±0.08; 95% CI) in our study cohort. The combined model integrating clinical risk factors and selected radiomics features outperformed the clinical-only and the radiomics-only prediction models, and showed good discrimination with an area under the curve of 0.89 (±0.03; 95% CI). The decision curve analysis demonstrated the clinical usefulness of our proposed combined model. The presented combined CT-based radiomics–clinical model represents an exciting non-invasive tool for individualised LN metastasis prediction in testicular germ cell tumours. Multi-centre validation is required to generate high-quality evidence for its clinical application.
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(This article belongs to the Topic Artificial Intelligence in Cancer, Biology and Oncology)
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