Pub Date : 2023-08-17DOI: 10.2174/1573394719666230817094831
Manish Kumar, S. Kaur, S. Kaur
Carcinogenesis is a process in which uncontrolled cell proliferation forms preneoplastic nodules which precede the appearance of cancer. In normal cells, growth and proliferation are regulated by certain growth and hormonal stimulation, while mutational alterations in these signals render the cells independent and resistant to these signals. In cancer, the critical homeostatic balance between cell growth and apoptosis is lost and the cells continue to survive beyond their normal life span. The activation of c-Jun N-terminal kinase (JNK), p38 and caspases are involved in potential proapoptotic signaling pathways. JNK, p38 MAPK pathway and caspases play a crucial role in the control of apoptosis in response to stress. The most recent and up-to-date literature was evaluated in this study, which describes the role of JNK, p38 MAPK pathway and caspases as therapeutic target in cancer. Chemotherapy uses drugs that are cytotoxic to highly proliferating tumor cells but also kills the non-tumor rapidly proliferating cells in the hair, skin and gastrointestinal tract epithelium, thereby accounting the side effects of these types of treatments. Recently, chemopreventive modalities derived from phytoconstituents present in plants provide a broad-spectrum strategy to overcome the incidence of cancer. Non-toxic, safe and affordable bioavailabilities of chemopreventive agents provide credence support in the field of cancer research compared to conventional therapies that cause serious consequences. Chemoprevention envisages the basic mechanisms like modulating the activity of xenobiotic-metabolizing enzymes, induction of apoptosis, immune system activation, suppressing angiogenesis and the formation of metastasis, antioxidant and anti-inflammatory properties. The present review highlighted the role of phytoconstituents derived from food, vegetables and medicinal plants in the induction of apoptosis in cancer cells, which in turn is mediated by the activation of JNK, p38 MAPK pathways, and caspases.
癌变是在肿瘤出现之前不受控制的细胞增殖形成瘤前结节的过程。在正常细胞中,生长和增殖受某些生长和激素刺激的调节,而这些信号的突变改变使细胞独立并抵抗这些信号。在癌症中,细胞生长和凋亡之间的关键稳态平衡失去,细胞继续存活超过其正常寿命。c-Jun n -末端激酶(JNK)、p38和caspases的激活参与了潜在的促凋亡信号通路。JNK、p38 MAPK通路和caspase在应激反应中调控细胞凋亡中起重要作用。本研究评估了最新和最新的文献,这些文献描述了JNK, p38 MAPK途径和caspases作为癌症治疗靶点的作用。化疗使用的药物对高度增殖的肿瘤细胞具有细胞毒性,但也会杀死头发、皮肤和胃肠道上皮中非肿瘤快速增殖的细胞,从而解释了这类治疗的副作用。最近,来自植物成分的化学预防方式为克服癌症的发病率提供了一种广谱策略。与导致严重后果的传统疗法相比,化学预防剂的无毒、安全和负担得起的生物利用度为癌症研究领域提供了可信的支持。化学预防设想了一些基本机制,如调节外源代谢酶的活性、诱导细胞凋亡、免疫系统激活、抑制血管生成和转移的形成、抗氧化和抗炎特性。本综述强调了来自食物、蔬菜和药用植物的植物成分在诱导癌细胞凋亡中的作用,这反过来又通过激活JNK、p38 MAPK通路和半胱天冬酶介导。
{"title":"c-Jun N-terminal kinase (JNK), p38, and Caspases: Promising Therapeutic Targets for the Regulation of Apoptosis in Cancer Cells by Phytochemicals","authors":"Manish Kumar, S. Kaur, S. Kaur","doi":"10.2174/1573394719666230817094831","DOIUrl":"https://doi.org/10.2174/1573394719666230817094831","url":null,"abstract":"\u0000\u0000Carcinogenesis is a process in which uncontrolled cell proliferation forms preneoplastic nodules which precede the appearance of cancer. In normal cells, growth and proliferation are regulated by certain growth and hormonal stimulation, while mutational alterations in these signals render the cells independent and resistant to these signals. In cancer, the critical homeostatic balance between cell growth and apoptosis is lost and the cells continue to survive beyond their normal life span. The activation of c-Jun N-terminal kinase (JNK), p38 and caspases are involved in potential proapoptotic signaling pathways. JNK, p38 MAPK pathway and caspases play a crucial role in the control of apoptosis in response to stress.\u0000\u0000\u0000\u0000The most recent and up-to-date literature was evaluated in this study, which describes the role of JNK, p38 MAPK pathway and caspases as therapeutic target in cancer. Chemotherapy uses drugs that are cytotoxic to highly proliferating tumor cells but also kills the non-tumor rapidly proliferating cells in the hair, skin and gastrointestinal tract epithelium, thereby accounting the side effects of these types of treatments. Recently, chemopreventive modalities derived from phytoconstituents present in plants provide a broad-spectrum strategy to overcome the incidence of cancer. Non-toxic, safe and affordable bioavailabilities of chemopreventive agents provide credence support in the field of cancer research compared to conventional therapies that cause serious consequences. Chemoprevention envisages the basic mechanisms like modulating the activity of xenobiotic-metabolizing enzymes, induction of apoptosis, immune system activation, suppressing angiogenesis and the formation of metastasis, antioxidant and anti-inflammatory properties.\u0000\u0000\u0000\u0000The present review highlighted the role of phytoconstituents derived from food, vegetables and medicinal plants in the induction of apoptosis in cancer cells, which in turn is mediated by the activation of JNK, p38 MAPK pathways, and caspases.\u0000","PeriodicalId":43754,"journal":{"name":"Current Cancer Therapy Reviews","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44975257","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}
Pub Date : 2023-08-16DOI: 10.2174/1573394719666230816091316
Shruti Jain, Falguni Bhardwaj
The occurrence of brain tumors is rapidly increasing, mostly in the younger generation. Tumors can directly destroy all healthy brain cells and spread rapidly to other parts. However, tumor detection and removal still pose a challenge in the field of biomedicine. Early detection and treatment of brain tumors are vital as otherwise can prove to be fatal. This paper presents the Computer Aided Diagnostic (CAD) system design for two classifications of brain tumors employing the transfer learning technique. The model is validated using machine learning techniques and other datasets. Different pre-processing and segmentation techniques were applied to the online dataset. A two-class classification CAD system was designed using pre-trained models namely VGG16, VGG19, Resnet 50, and Inception V3. Later GLDS, GLCM, and hybrid features were extracted which were classified using Support Vector Machine (SVM), k-Nearest Neighbor (kNN), and Probabilistic Neural Network (PNN) techniques. The overall classification accuracy using Inception V3 is observed as 83%. 85% accuracy was obtained using hybrid GLCM and GLDS features using the SVM algorithm. The model has been validated on the BraTs dataset which results in 84.5% and 82% accuracy using GLCM + GLDS + SVM and Inception V3 technique respectively. 2.9% accuracy improvement was attained while considering GLCM + GLDS + SVM over kNN and PNN. 0.5% and 1.2% accuracy improvement were attained for CAD system design based on GLCM + GLDS + SVM and Inception v3 model respectively.
{"title":"CAD system design for Two-Class Brain Tumor classification using Transfer Learning","authors":"Shruti Jain, Falguni Bhardwaj","doi":"10.2174/1573394719666230816091316","DOIUrl":"https://doi.org/10.2174/1573394719666230816091316","url":null,"abstract":"\u0000\u0000The occurrence of brain tumors is rapidly increasing, mostly in the younger generation. Tumors can directly destroy all healthy brain cells and spread rapidly to other parts. However, tumor detection and removal still pose a challenge in the field of biomedicine. Early detection and treatment of brain tumors are vital as otherwise can prove to be fatal.\u0000\u0000\u0000\u0000This paper presents the Computer Aided Diagnostic (CAD) system design for two classifications of brain tumors employing the transfer learning technique. The model is validated using machine learning techniques and other datasets.\u0000\u0000\u0000\u0000Different pre-processing and segmentation techniques were applied to the online dataset. A two-class classification CAD system was designed using pre-trained models namely VGG16, VGG19, Resnet 50, and Inception V3. Later GLDS, GLCM, and hybrid features were extracted which were classified using Support Vector Machine (SVM), k-Nearest Neighbor (kNN), and Probabilistic Neural Network (PNN) techniques.\u0000\u0000\u0000\u0000The overall classification accuracy using Inception V3 is observed as 83%. 85% accuracy was obtained using hybrid GLCM and GLDS features using the SVM algorithm. The model has been validated on the BraTs dataset which results in 84.5% and 82% accuracy using GLCM + GLDS + SVM and Inception V3 technique respectively.\u0000\u0000\u0000\u00002.9% accuracy improvement was attained while considering GLCM + GLDS + SVM over kNN and PNN. 0.5% and 1.2% accuracy improvement were attained for CAD system design based on GLCM + GLDS + SVM and Inception v3 model respectively.\u0000","PeriodicalId":43754,"journal":{"name":"Current Cancer Therapy Reviews","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49230661","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}
Pub Date : 2023-08-07DOI: 10.2174/1573394719666230807161948
Atar Singh Kushwah, K. Srivastava, Rajnikant Mishra, M. Banerjee
Human Papilloma Virus (HPV) infection and its persistence are responsible for the development of cervical cancer (CaCx). Chemoradiotherapy (CRT) is the only treatment option, especially in advanced stages. However, it is not influenced by the status of HPV infection. CRT controls cancer growth along with mild to severe adverse effects. The aim of this study was to assess the HPV-associated risk factors and correlate them with chemoradiation therapy (CRT) response in cervical cancer. The study was undertaken in 103 histologically positive CaCx patients. Anthrodemographic and obstetric characterizations were conducted by face-to-face interviews, and HPV testing was done by conventional PCR. All the patients received a 40-50Gy total effective dose using tele‑ and brachytherapy. The treatment response, survivorship and statistical analysis were made using GraphPad Prism 9 and SPSS (ver.25.0). Out of 103 patients, 84% were HPV infected, and 16% CaCx were HPV-negative. Advanced age, lower-middle socioeconomic status (SES), illiteracy, and patients from rural backgrounds were significantly higher in CaCx patients with HPV infection. Multiparity, irregular menstrual cycle, poor menstrual hygiene, and use of contraception were significantly associated with HPV positivity. Patients with HPV infection showed a better clinical response (P =0.031), alive vital status (P =0.007), and 59 months of median survival (P <0.001) with a poor hazard ratio (HR 0.29 at 95% CI). HPV-infected CaCx patients showed better response to definitive chemoradiation therapy compared to HPV-negative with a poor hazard ratio. Therefore, HPV testing can potentially stratify CaCx patients for more effective therapeutic regimens, treatment assessments and follow-ups.
人乳头瘤病毒(HPV)感染及其持续存在是宫颈癌(CaCx)发展的原因。放化疗是唯一的治疗选择,特别是在晚期。然而,它不受HPV感染状况的影响。crt控制癌症的生长,并伴有轻微到严重的不良反应。本研究的目的是评估hpv相关的危险因素,并将其与宫颈癌放化疗(CRT)反应联系起来。该研究在103例组织学阳性的CaCx患者中进行。通过面对面访谈进行人口统计学和产科特征描述,并通过常规PCR进行hpv检测。所有患者均接受40-50Gy的总有效剂量,采用远程和近距离治疗。采用GraphPad Prism 9和SPSS (ver.25.0)软件进行治疗疗效、生存率及统计学分析。在103例患者中,84%是HPV感染,16%的CaCx是HPV阴性。老年、中下社会经济地位(SES)、文盲和农村背景的患者在感染HPV的CaCx患者中明显更高。多胎、月经周期不规律、月经卫生不良和使用避孕措施与HPV阳性显著相关。HPV感染患者表现出更好的临床反应(P= 0.031),存活生命状态(P=0.007),中位生存期为59个月(P <0.001),风险比较低(95% CI HR 0.29)。与hpv阴性患者相比,hpv感染的CaCx患者对明确的放化疗反应更好,风险比较低。因此,HPV检测可以潜在地对CaCx患者进行分层,以获得更有效的治疗方案、治疗评估和随访。
{"title":"Impact of Human Papillomavirus (HPV) Infection on the Treatment Outcome\u0000of Concomitant Chemoradiotherapy (CRT) in Cervical Cancer","authors":"Atar Singh Kushwah, K. Srivastava, Rajnikant Mishra, M. Banerjee","doi":"10.2174/1573394719666230807161948","DOIUrl":"https://doi.org/10.2174/1573394719666230807161948","url":null,"abstract":"\u0000\u0000Human Papilloma Virus (HPV) infection and its persistence are responsible\u0000for the development of cervical cancer (CaCx). Chemoradiotherapy (CRT) is the only treatment option, especially in advanced stages. However, it is not influenced by the status of HPV infection. CRT\u0000controls cancer growth along with mild to severe adverse effects.\u0000\u0000\u0000\u0000The aim of this study was to assess the HPV-associated risk factors and correlate them\u0000with chemoradiation therapy (CRT) response in cervical cancer.\u0000\u0000\u0000\u0000The study was undertaken in 103 histologically positive CaCx patients. Anthrodemographic and obstetric characterizations were conducted by face-to-face interviews, and HPV\u0000testing was done by conventional PCR. All the patients received a 40-50Gy total effective dose using\u0000tele‑ and brachytherapy. The treatment response, survivorship and statistical analysis were made using GraphPad Prism 9 and SPSS (ver.25.0).\u0000\u0000\u0000\u0000Out of 103 patients, 84% were HPV infected, and 16% CaCx were HPV-negative. Advanced age, lower-middle socioeconomic status (SES), illiteracy, and patients from rural backgrounds\u0000were significantly higher in CaCx patients with HPV infection. Multiparity, irregular menstrual cycle,\u0000poor menstrual hygiene, and use of contraception were significantly associated with HPV positivity.\u0000Patients with HPV infection showed a better clinical response (P =0.031), alive vital status (P\u0000=0.007), and 59 months of median survival (P <0.001) with a poor hazard ratio (HR 0.29 at 95% CI).\u0000\u0000\u0000\u0000HPV-infected CaCx patients showed better response to definitive chemoradiation therapy compared to HPV-negative with a poor hazard ratio. Therefore, HPV testing can potentially stratify CaCx patients for more effective therapeutic regimens, treatment assessments and follow-ups.\u0000","PeriodicalId":43754,"journal":{"name":"Current Cancer Therapy Reviews","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46115477","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}