LEADER 02602nam 2200361 450 001 9910719770403321 005 20230623202809.0 010 $a3-0365-7336-4 035 $a(CKB)4960000000467902 035 $a(NjHacI)994960000000467902 035 $a(EXLCZ)994960000000467902 100 $a20230623d2023 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aOncogenic signaling of growth factor receptors in cancer $emechanisms and therapeutic opportunities /$fedited by Anica Dricu 210 1$aBasel, Switzerland :$cMDPI - Multidisciplinary Digital Publishing Institute,$d2023. 215 $a1 online resource (202 pages) 311 $a3-0365-7337-2 330 $aAt the molecular level, the activation of growth factor receptors (GFRs) induces a mitogenic response and maintains cancer cell growth. The majority of malignant diseases are related to aberrant intra- and intercellular communication, associated with the GFR-mediated pathways. Moreover, the evasion of apoptotic signals and the requirement of angiogenesis were also found to be of fundamental importance for tumor progression and metastasis. In this context, a high expression of GFRs aids blood vessel formation, cell migration, and the inhibition of apoptosis. GFR-directed therapy that would theoretically selectively kill malignant cells and reduce the toxicity associated with nonselective conventional chemotherapy may be a promising treatment for cancer. Many intracellular proteins involved in GFR signal transduction can also function as oncogenes. Mutations affecting key proteins in the RAS/MAPK and PI3K/AKT pathways are known to be crucial in maintaining the malignancy of different types of cancers. This information has guided the development of compounds designed to target one or more of these pathways in cancer cells. Even though there have been important advances in our understanding of GFRs and their signaling, certain essential information is still lacking, and these membrane receptors are still being laboriously studied by several research groups, to find therapeutic solutions to unmet medical needs. 517 $aOncogenic Signaling of Growth Factor Receptors in Cancer 606 $aCancer cells$xGrowth 615 0$aCancer cells$xGrowth. 676 $a616.99407 702 $aDricu$b Anica 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910719770403321 996 $aOncogenic signaling of growth factor receptors in cancer$93392600 997 $aUNINA LEADER 03829nam 22007575 450 001 9910743214103321 005 20250626164420.0 010 $a981-16-8224-0 010 $a981-16-8225-9 010 $a981-16-8225-9 024 7 $a10.1007/978-981-16-8225-4 035 $a(MiAaPQ)EBC6926812 035 $a(Au-PeEL)EBL6926812 035 $a(CKB)21403471200041 035 $a(PPN)261522396 035 $a(DE-He213)978-981-16-8225-4 035 $a(EXLCZ)9921403471200041 100 $a20220314d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputer Vision and Robotics $eProceedings of CVR 2021 /$fedited by Jagdish Chand Bansal, Andries Engelbrecht, Praveen Kumar Shukla 205 $a1st ed. 2022. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2022. 215 $a1 online resource (541 pages) 225 1 $aAlgorithms for Intelligent Systems,$x2524-7573 311 08$aPrint version: Bansal, Jagdish Chand Computer Vision and Robotics Singapore : Springer Singapore Pte. Limited,c2022 9789811682247 320 $aIncludes bibliographical references and index. 327 $aAI Techniques for Swedish Leaf Classification -- Designing a Recommender System for Articles using Implicit Feedback -- Personality Prediction based on Twitter Tweets -- Music Therapy for Mood Transformation based on Deep Learning Framework -- Rice Crop Diseases and Pest Detection using Edge Detec-tion Techniques and Convolution Neural Network -- Spatial Analyses of Cyclone Amphan Induced Flood Inundation Mapping Using Sentinel-1A SAR Images Through GEE Cloud -- Classification through Data Mining Algorithm -- Early Detection of Diabetic Retinopathy using Multimodal Approach -- Intelligent Techniques for Crowd Detection And People Counting- A Systematic_Study -- Twitter Sentiment Analysis of Public Opinion on COVID-19 Vaccines. 330 $aThis book consists of a collection of the high-quality research articles in the field of computer vision and robotics which are presented in the International Conference on Computer Vision and Robotics (CVR 2021), organized by BBD University Lucknow, India, during 7?8 August 2021. The book discusses applications of computer vision and robotics in the fields like medical science, defence, and smart city planning. The book presents recent works from researchers, academicians, industry, and policy makers. 410 0$aAlgorithms for Intelligent Systems,$x2524-7573 606 $aAutomatic control 606 $aRobotics 606 $aAutomation 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aHuman-machine systems 606 $aCooperating objects (Computer systems) 606 $aControl, Robotics, Automation 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aHuman-Machine Interfaces 606 $aCyber-Physical Systems 615 0$aAutomatic control. 615 0$aRobotics. 615 0$aAutomation. 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 0$aHuman-machine systems. 615 0$aCooperating objects (Computer systems) 615 14$aControl, Robotics, Automation. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aHuman-Machine Interfaces. 615 24$aCyber-Physical Systems. 676 $a929.605 702 $aBansal$b Jagdish Chand 702 $aEngelbrecht$b Andries 702 $aShukla$b Praveen Kumar 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910743214103321 996 $aComputer vision and robotics$92960603 997 $aUNINA