{"title":"Machine learning-based integration of omics and clinical data reveals an N-glycan biosynthesis signature predictive of the outcome in low-grade glioma: an in silico study","authors":"Yihao Zhu, Liangyuan Geng, Fuduo Bo, Yang Xu, Jindou Wei, Yansong Zhang, Chunfa Qian","doi":"10.20517/2394-4722.2024.32","DOIUrl":"https://doi.org/10.20517/2394-4722.2024.32","url":null,"abstract":"Aim: This study explored the prognostic value of N-glycan biosynthesis (NGB) in lower-grade glioma (LGG) and aimed to develop a machine learning model for enhanced prognostic accuracy.\u0000 Method: LGG patient transcriptome data were analyzed to identify NGB-related genes. Consensus clustering identified subgroups based on NGB expression. A prognostic NGB signature (pNGB) was developed using machine learning. The pNGB score's association with cell proliferation, inflammation, treatment response, tumor recurrence, and the immune microenvironment was also explored.\u0000 Results: A 22-gene pNGB signature was identified, with MGAT1 and TUSC3 having the highest and lowest hazard ratios, respectively. Two distinct clusters (C1 and C2) with differential pNGB expression and survival outcomes were revealed. NGB pathway analysis indicated an overall poor prognosis, except for MGAT4C and TUSC3. The Enet-based survival model showed superior discriminatory power and reliability. The NGB risk score correlated with increased cell proliferation, inflammation, and altered immune landscape. Additionally, the score is linked to treatment response and tumor recurrence.\u0000 Conclusion: This study highlights the critical role of NGB in LGG progression and proposes a pNGB-based model for prognosis. The NGB risk score shows promise as a prognostic biomarker and potential therapeutic target in LGG.","PeriodicalId":511368,"journal":{"name":"Journal of Cancer Metastasis and Treatment","volume":"27 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141654941","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}
{"title":"Factors associated with prognosis and staging of intrahepatic cholangiocarcinoma","authors":"R. C. Chick, Samantha M Ruff, Timothy M. Pawlik","doi":"10.20517/2394-4722.2024.47","DOIUrl":"https://doi.org/10.20517/2394-4722.2024.47","url":null,"abstract":"Intrahepatic cholangiocarcinoma (ICC) is a relatively rare but aggressive primary liver cancer with a poor prognosis. A number of established clinical and pathologic factors correlate with prognosis, and this is reflected in the American Joint Committee on Cancer (AJCC) 8th Edition staging manual. Researchers have identified areas for improvement in staging and prognostication of ICC using more nuanced tools, including serum biomarkers, molecular profiling, immunophenotyping, and multimodal prognostic scoring systems. These data have led to proposals of novel staging systems that attempt to improve the correlation between stage and prognosis. More accurate staging tools may aid in treatment decisions that are tailored to each individual patient, to maximize therapy for individuals most likely to benefit and to avoid unnecessary toxicity and decision regret in those for whom aggressive treatment is unlikely to alter outcomes. Artificial intelligence and machine learning may help researchers develop new models that predict outcomes with more accuracy and precision.","PeriodicalId":511368,"journal":{"name":"Journal of Cancer Metastasis and Treatment","volume":"12 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141661164","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}
{"title":"Promising future: a review of clinical applications of biopolymers in renal cell carcinoma","authors":"Xuan Zhou, Kaming Xue, Ruifeng Xu, Qingyi Li, Furong Huang, Yongming Huang, Wen Xiao, Keshan Wang, Xiaoping Zhang","doi":"10.20517/2394-4722.2024.12","DOIUrl":"https://doi.org/10.20517/2394-4722.2024.12","url":null,"abstract":"Renal cell carcinoma (RCC), being the most common type of renal malignancy, accounting for 85% of its incidence, poses a significant threat to human health. Although progress has been made in RCC diagnosis and management, problems of delayed detection and treatment failure remain in traditional methods. In the development of material research, biopolymers have emerged as significant players in medical practices, demonstrating considerable potential in the management of kidney cancer. Specifically, bioactive polymers have been proven to have numerous advantages over traditional methods, finding prosperous applications in diverse areas such as imaging detection, chemotherapy carrier, and prognostic estimation. However, the clinical value of some biopolymers still needs to be fully recognized in the RCC clinical pathway. This review summarizes recent studies about bioactive polymers’ application in RCC and further discusses its significance and constraints in clinical translational medicine and clinical trials. As our understanding of biopolymers grows, more advancements can be carried out in clinical practices.","PeriodicalId":511368,"journal":{"name":"Journal of Cancer Metastasis and Treatment","volume":" 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140686603","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}
Ester Jo, Kush Savsani, Anjelica Alfonso, Andrew Park, Seung Duk Lee, Devanand Sakar, Nathaniel Kinsey, Y. Sambommatsu, Daisuke Imaid, Aamir A Khan, Amit Sharma, Muhammad Saeed, Vinay Kumaran, A. Cotterell, Marlon F Levy, David A Bruno
{"title":"Photodynamic effect of indocyanine green and its application to hepatocellular carcinoma treatment","authors":"Ester Jo, Kush Savsani, Anjelica Alfonso, Andrew Park, Seung Duk Lee, Devanand Sakar, Nathaniel Kinsey, Y. Sambommatsu, Daisuke Imaid, Aamir A Khan, Amit Sharma, Muhammad Saeed, Vinay Kumaran, A. Cotterell, Marlon F Levy, David A Bruno","doi":"10.20517/2394-4722.2024.18","DOIUrl":"https://doi.org/10.20517/2394-4722.2024.18","url":null,"abstract":"Hepatocellular carcinoma (HCC) stands as the primary cause of liver cancers, with limited treatment options outside of surgical resection or transplant. Photodynamic therapy (PDT) using indocyanine green (ICG) as a photosensitizer offers a promising therapeutic option for HCC. ICG PDT has demonstrated efficacy in vitro and in vivo , providing a safe treatment option for patients ineligible for resection or transplant. Challenges in PDT optimization include limited light delivery, poor photosensitizer optimization, and low oxygen generation. Innovative solutions, such as ICG incorporation into nanostructures and direct administration for HCC cases, show promise. Combining ICG PDT with Lentinula edodes mycelia (LEM) and hydrogen gas inhalation may address oxygen production limitations. Utilizing a combination of therapeutic approaches and therapies may increase the efficacy of ICG PDT, making it the safer and more effective treatment option for patients. ICG’s proven clinical safety may expedite potential approval for its use in PDT. Advancements in photosensitizer technology, such as aggregation-induced emission photosensitizers (AIE-PSs), and combination therapies will enhance PDT efficacy shortly, as developments show promise for improved outcomes. For HCC patients, ICG PDT presents a valuable therapeutic option. This work is novel because it explores new combination therapy approaches, leveraging the benefits of PDT with ICG and the developments in photosensitizer technology, nanotechnology, and the combination of other treatments such as LEM and hydrogen gas, which could potentially revolutionize the treatment of HCC and offer a better prognosis for patients.","PeriodicalId":511368,"journal":{"name":"Journal of Cancer Metastasis and Treatment","volume":"18 22","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140715399","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}
Diego Fernández-Lázaro, Ana M. Celorrio San Miguel, Enrique Roche
{"title":"The role of melatonin as an adjuvant therapeutic strategy in the modulation of carcinogenesis. A narrative review","authors":"Diego Fernández-Lázaro, Ana M. Celorrio San Miguel, Enrique Roche","doi":"10.20517/2394-4722.2024.05","DOIUrl":"https://doi.org/10.20517/2394-4722.2024.05","url":null,"abstract":"Melatonin (N-acetyl-5 methoxytryptamine) is an indolic compound present in almost all fungi, plants, and animals. This neurohormone is synthesized and secreted into the internal environment mainly by the pineal gland, present in most vertebrates. Non-endocrine extrapineal locations have not been documented. This molecule with pleiotropic bioactions regulates the circadian rhythm, antioxidant, anti-inflammatory, immunostimulant, cardioprotective, antidiabetic, antiobesity, neuroprotective, and antiaging actions. Furthermore, in recent years, many studies have described the key role of melatonin in the prevention and development of cancer. The objective of this narrative review is to describe the different mechanisms through which melatonin exerts its action as an adjuvant in the modulation of carcinogenesis. The general anticarcinogenic mechanisms include epigenetic control, modulation of cell proliferation, regulation of cell cycle, induction of apoptosis, and telomerase inhibition. Melatonin also exerts antiestrogenic activity, which is particularly significant in hormone-dependent tumors, regulating the expression and transactivation of the estrogen receptor, and modulating the enzymes involved in the local synthesis of estrogens. Modulation of metastasis by melatonin includes increased expression of cell adhesion molecules such as E-cadherin and β1-integrin, inhibition of angiogenesis, and control of fat metabolism by inhibiting the uptake of fatty acids by membrane transporters. Finally, immunomodulatory properties include enhanced production of anti-inflammatory interleukins and other cytokines in lymphocytes and monocytes and modulation of antioxidant activity by neutralizing free radicals. Despite all the mentioned properties, the use of melatonin in daily clinical practice is very limited, and additional studies are needed to better establish the role of this hormone in oncological clinical applications against different types of cancer.","PeriodicalId":511368,"journal":{"name":"Journal of Cancer Metastasis and Treatment","volume":"47 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140733934","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}
Hongshuang Shi, Siqi Yu, Wenshi Li, Xuejian Li, Xin Wu, Xiujuan Qu, Yi Ma, Chunlei Zheng, X. Che
{"title":"Neutrophils in the tumor microenvironment: role in tumor progression and potential targeted therapeutic strategy","authors":"Hongshuang Shi, Siqi Yu, Wenshi Li, Xuejian Li, Xin Wu, Xiujuan Qu, Yi Ma, Chunlei Zheng, X. Che","doi":"10.20517/2394-4722.2023.177","DOIUrl":"https://doi.org/10.20517/2394-4722.2023.177","url":null,"abstract":"Neutrophils are known as the body's first line of defense against invading pathogens, which are the most abundant bone-marrow-derived innate immune cells accounting for 50%-70% of all white blood cells in human peripheral blood. With in-depth research in recent years, neutrophils have also been recognized as one of the main immune cells in the tumor microenvironment (TME), playing an important role in tumor development. Neutrophils can promote tumor metastasis through secretion of chemokines and cytokines and formation of neutrophil extracellular traps (NETs). Also, neutrophil targeting treatment has shown a promising anticancer effect. In this article, we summarized the recent research progress related to the significant role of neutrophils in tumor metastasis, as well as the current progression and limitations of targeting neutrophils in tumor therapeutics. This review can provide a comprehensive understanding of the role of neutrophils in the TME and the development of a new anticancer strategy.","PeriodicalId":511368,"journal":{"name":"Journal of Cancer Metastasis and Treatment","volume":" 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140382582","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}
{"title":"Cancer-associated fibroblasts (CAFs) based model reveals potential for predicting bladder cancer patients’ prognoses and immunotherapy responses","authors":"Mengyuan Dong, Xu Zhang","doi":"10.20517/2394-4722.2023.146","DOIUrl":"https://doi.org/10.20517/2394-4722.2023.146","url":null,"abstract":"Aim: The purpose of this study is to enhance the understanding of bladder cancer and the role of cancer-associated fibroblasts (CAFs) in its progression. We aim to identify CAF-specific biomarkers and develop a prognostic prediction model based on CAFs, thereby contributing to the advancement of treatment strategies and the identification of prognostic and predictive biomarkers for bladder cancer.\u0000 Method: We employed single-cell RNA sequencing to detect biomarkers for CAFs in bladder cancer cells. Bladder cancer cohorts were categorized into low- and high-CAF groups using the ssGSEA algorithm. The study also explored the association between CAF-related scores, immune-related cells, and immune checkpoint-related genes. Furthermore, we performed GSVA analysis to understand the biological features of CAFs and their link to various cancer-related pathways.\u0000 Result: Ten genes were identified as CAF markers in bladder cancer cells. A significant difference was found with 2712 differentially expressed genes between low-CAF and high-CAF tissues. The CAFs-based prognostic prediction model included nine genes (ALDH1L2, AL450384.2, EMP1, LINC02362, WFIKKN1, GOLGA8A, POU5F1, AL354919.2, PTPRR), which are potentially crucial in predicting bladder cancer prognosis. The GSVA analysis revealed the involvement of several cancer-related pathways, such as WNT, toll-like receptor, TGF-beta, MAPK, and MTOR signaling pathways, in the CAFs-based prognostic model.\u0000 Conclusion: This study highlights the significant role of CAFs in the progression and prognosis of bladder cancer. The identified CAF biomarkers and the constructed prognostic model provide valuable insights for future research and potential therapeutic targets. CAF-dependent pathways are promising for the development of new treatments and improving the prognosis of bladder cancer patients.","PeriodicalId":511368,"journal":{"name":"Journal of Cancer Metastasis and Treatment","volume":"1 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139891767","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}
{"title":"Cancer-associated fibroblasts (CAFs) based model reveals potential for predicting bladder cancer patients’ prognoses and immunotherapy responses","authors":"Mengyuan Dong, Xu Zhang","doi":"10.20517/2394-4722.2023.146","DOIUrl":"https://doi.org/10.20517/2394-4722.2023.146","url":null,"abstract":"Aim: The purpose of this study is to enhance the understanding of bladder cancer and the role of cancer-associated fibroblasts (CAFs) in its progression. We aim to identify CAF-specific biomarkers and develop a prognostic prediction model based on CAFs, thereby contributing to the advancement of treatment strategies and the identification of prognostic and predictive biomarkers for bladder cancer.\u0000 Method: We employed single-cell RNA sequencing to detect biomarkers for CAFs in bladder cancer cells. Bladder cancer cohorts were categorized into low- and high-CAF groups using the ssGSEA algorithm. The study also explored the association between CAF-related scores, immune-related cells, and immune checkpoint-related genes. Furthermore, we performed GSVA analysis to understand the biological features of CAFs and their link to various cancer-related pathways.\u0000 Result: Ten genes were identified as CAF markers in bladder cancer cells. A significant difference was found with 2712 differentially expressed genes between low-CAF and high-CAF tissues. The CAFs-based prognostic prediction model included nine genes (ALDH1L2, AL450384.2, EMP1, LINC02362, WFIKKN1, GOLGA8A, POU5F1, AL354919.2, PTPRR), which are potentially crucial in predicting bladder cancer prognosis. The GSVA analysis revealed the involvement of several cancer-related pathways, such as WNT, toll-like receptor, TGF-beta, MAPK, and MTOR signaling pathways, in the CAFs-based prognostic model.\u0000 Conclusion: This study highlights the significant role of CAFs in the progression and prognosis of bladder cancer. The identified CAF biomarkers and the constructed prognostic model provide valuable insights for future research and potential therapeutic targets. CAF-dependent pathways are promising for the development of new treatments and improving the prognosis of bladder cancer patients.","PeriodicalId":511368,"journal":{"name":"Journal of Cancer Metastasis and Treatment","volume":"304 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139832239","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}
{"title":"Regulation and function of the RSK family in colorectal cancer","authors":"Ziyi Wang, Xiangming Han, Zhe Lei, Chenxi Shi, Yuhong Wang, Lingchuan Guo","doi":"10.20517/2394-4722.2023.120","DOIUrl":"https://doi.org/10.20517/2394-4722.2023.120","url":null,"abstract":"P90 Ribosomal S6 Kinases (RSKs) constitute a class of Serine/Threonine (Ser/Thr) protein kinases and play a critical role as downstream targets in the Raf/MEK/ERK signaling pathway. Gaining insight into the biological function of RSK family proteins, given their functions in various tumors, is vital. The RSK family is involved in the regulation of cellular functions including cell proliferation, motility, invasion, and survival. The RSK family comprises four human isoforms (RSK1, RSK2, RSK3, and RSK4). The activation of RSK protein kinases is mediated through direct phosphorylation by extracellular signal-regulated kinase 1/2 (ERK1/2) and phosphoinositide-dependent kinase 1 (PDK1) after the Ras/MAPK (mitogen-activated protein kinase) pathway is activated. Recent evidence suggests that RSK family proteins promote the onset and metastasis of cancer, leading to the association of the protein expression of these kinases with various cancer types, such as colorectal cancer (CRC), breast cancer, lung cancer, kidney cancer, leukemia, esophageal squamous cell carcinoma, ovarian cancer, glioma, and endometrial cancer. In this review, we summarize the latest research on the RSK family, focusing on its role in patients with CRC, along with associated treatment challenges and limitations. This information enhances our comprehension of the regulation and function of RSK family proteins, highlighting their potential as both clinical biomarkers for diagnosing CRC and targets for molecular therapeutic interventions in the future.","PeriodicalId":511368,"journal":{"name":"Journal of Cancer Metastasis and Treatment","volume":"63 49","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140486569","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}