What is pathophysiology of Lung cancer?

['Denggem daytoy a panid']

Ania ti patofisiolohia ti kanser iti bara?

Ti pathophysiology ti kanser iti bara tuktukoyenna dagiti panagbalbaliw kadagiti normal a proseso ken mekanismo ti bagi a mapasamak iti itatanor ken panagsaknap ti kanser iti bara.

Ti kanser iti bara ket narikut a sakit a tumaud gapu iti di makontrol a panagdakkel ken pannakabingay dagiti abnormal a selula iti bara.

Dagitoy a selula ti mangbukel kadagiti tumor ken agsaknap iti dadduma a paset ti bagi, a mangituggod iti nadumaduma a sintoma ken komplikasion.

Ti pathophysiology ti kanser iti bara ramanenna ti sumagmamano a banag, agraman dagiti genetic mutation, dagiti banag iti aglawlaw, ken estilo ti panagbiag.

Mabalin a mapasamak dagiti genetic mutation iti DNA dagiti selula ti bara, a mangiturong iti di makontrol a panagdakkel ken pannakabingay ti selula.

Dagitoy a panagbalbaliw ti gene ket mabalin a matawid wenno maala, ken mabalin a maigapu iti pannakaisarang kadagiti mangpataud iti kanser, kas iti asuk ti sigarilio, radon, asbestos, ken polusion ti angin.

Ti kanser iti bara ket mabalin a mabingay iti dua a kangrunaan a kita: small cell lung cancer (SCLC) ken non-small cell lung cancer (NSCLC).

Mabalin nga agduduma ti patofisiolohia dagitoy a kita ti kanser ti bara, ta agduduma ti genetic mutation-da ken agduduma ti panagtignayda iti panangagas.

Ti pathophysiology ti kanser iti bara ramanenna met ti panagtignay dagiti selula ti kanser ken ti aglawlaw a tisyu, agraman ti resistensia.

Dagiti selula ti kanser mabalin a liklikanda ti resistensia ti bagi, isu a dumakkel ken agwarasda a di malapdan.

Kanayonanna, ti mikroenvironment ti tumor mabalin a mangparayray iti idadakkel ken panagwaras ti tumor babaen ti panangtedna iti makatulong nga aglawlaw kadagiti selula ti kanser.

Ti pathophysiology ti kanser iti bara ket narikut ken narikut a proseso, ket agtultuloy nga ikagkagumaan dagiti managsirarak a tarusan a naimbag dagiti kangrunaan a mekanismo tapno makaaramidda kadagiti nasaysayaat a panangagas ken mapasayaat ti resulta ti pasiente.

['Dagiti reperensia']

PubMed/Medline https://www.nlm.nih.gov/databases/download/pubmed_medline.html

RefinedWeb https://arxiv.org/abs/2306.01116

Li Z, Qian Y, Li W, Liu L, Yu L, Liu X, Wu G, Wang Y, Luo W, Fang F, Liu Y, Song F, Cai Z, Chen W, Huang W: Human Lung Adenocarcinoma-Derived Organoid Models for Drug Screening. iScience. 2020, 23 (8): 101411.

Nurwidya F, Syahruddin E, Yunus F: Pain management in lung cancer. Adv Respir Med. 2016, 84 (6): 331-336.

Khan KA, Kennedy MP, Moore E, Crush L, Prendeville S, Maher MM, Burke L, Henry MT: Radiological characteristics, histological features and clinical outcomes of lung cancer patients with coexistent idiopathic pulmonary fibrosis. Lung. 2015, 193 (1): 71-7.

Paramanantham A, Asfiya R, Das S, McCully G, Srivastava A: Extracellular Vesicle (EVs) Associated Non-Coding RNAs in Lung Cancer and Therapeutics. Int J Mol Sci. 2022, 23 (21): .

Lee D, Kim Y, Chung C: Scientific Validation and Clinical Application of Lung Cancer Organoids. Cells. 2021, 10 (11): .

Mucchietto V, Crespi A, Fasoli F, Clementi F, Gotti C: Neuronal Acetylcholine Nicotinic Receptors as New Targets for Lung Cancer Treatment. Curr Pharm Des. 2016, 22 (14): 2160-9.

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['Kalikaguman ti DMCA a ti pakaammoyo iti maipagarup a panaglabsing iti copyright ramanenna dagiti sumaganad nga impormasion: (1) deskripsion ti copyrighted a trabaho a suheto ti maipagarup a panaglabsing; (2) deskripsion ti maipagarup a linaon a manglabsing ken impormasion nga umdas a mangipalubos kadakami a mangbirok iti linaon; (3) impormasion a pangkontakan kadakayo, agraman ti adresyo, numero ti telepono ken email address; (4) deklarasionyo a patienyo a ti linaon iti wagas a naireklamo ket saan nga impalubos ti akinkukua iti copyright, wenno ti ahentena, wenno babaen ti aniaman a linteg; ']

['(5) maysa a deklarasionyo, a pinirmaanyo iti sidong ti dusa a panagsaksi iti ulbod, a ti impormasion iti pakaammo ket umiso ken adda autoridadyo a mangipatungpal kadagiti copyright a makuna a nasalungasing; ']

['ken (6) pisikal wenno elektroniko a pirma ti makinkukua iti copyright wenno ti tao a napalubosan nga agtignay para iti makinkukua iti copyright. ']

['No saan a mairaman amin nga impormasion a nadakamat iti ngato, mabalin a maitantan ti pannakataming ti reklamoyo.']

['Kontak']

['Pangngaasiyo ta patulodandakami iti email iti aniaman a saludsod/singasing.']

What is pathophysiology of lung cancer?

The pathophysiology of lung cancer refers to the changes in the normal physiological processes and mechanisms that occur in the development and progression of lung cancer.

Lung cancer is a complex disease that arises from the uncontrolled growth and division of abnormal cells in the lungs.

These cells can form tumors and spread to other parts of the body, leading to various symptoms and complications.

The pathophysiology of lung cancer involves several factors, including genetic mutations, environmental factors, and lifestyle choices.

Genetic mutations can occur in the DNA of lung cells, leading to uncontrolled cell growth and division.

These mutations can be inherited or acquired, and they can be caused by exposure to carcinogens, such as tobacco smoke, radon, asbestos, and air pollution.

Lung cancer can be classified into two main types: small cell lung cancer (SCLC) and non-small cell lung cancer (NSCLC). NSCLC is further divided into three subtypes: adenocarcinoma, squamous cell carcinoma, and large cell carcinoma.

The pathophysiology of these types of lung cancer can differ, as they have different genetic mutations and respond differently to treatment.

The pathophysiology of lung cancer also involves the interaction between cancer cells and the surrounding tissue, including the immune system.

Cancer cells can evade the immune system, allowing them to grow and spread unchecked.

Additionally, the tumor microenvironment can promote tumor growth and metastasis by providing a supportive environment for cancer cells.

The pathophysiology of lung cancer is a complex and dynamic process, and researchers are continuously working to better understand the underlying mechanisms to develop more effective treatments and improve patient outcomes.

Disclaimer: medical

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Please note the neural net that generates answers to the questions, is specially inaccurate when it comes to numeric content. For example, the number of people diagnosed with a specific disease.

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['Rugiantayo iti 35 a milion a publikasion ti biomedical iti PubMed/Medline. Kasta met, dagiti panid ti RefinedWeb.']

['Kitaenyo ti "References" ken "Disclaimer".']