What is pathophysiology of Lung cancer?

['Widikila lutiti yai']

Inki kele maladi ya kansere ya bapumo?

Pathophysiologie ya kansere ya bapumo ke tendula bansoba yina ke salamaka na nitu ya muntu mpi na mutindu yo ke salaka na ntangu kansere ke yela.

Kansere ya bapumo kele maladi mosi ya mpasi yina ke basikaka sambu baselile ya bapumua ke yelaka mpi ke kabwanaka kukonda kuyidika.

Baselile yai lenda kuma tumeur mpi kuyalumuka na bitini yankaka ya nitu, ebuna yo kenataka bidimbu mpi bampasi mingi.

Mambu mingi ke salaka nde kansere ya bapumo kukuma ngolo, mu mbandu ba mutation ya ba gènes, mambu ya ke vandaka na nzyunga mpi mutindu ya luzingu.

Ba mutation ya ba gene lenda basika na ADN ya baselile ya bapumo, yina lenda nata na kuyela mpi kukabwana ya baselile kukonda kuyala.

Bima yai lenda basika na divumu to na nitu, mpi yo lenda basika kana muntu kele na kisika yina kele ti bima yina kebasisaka kansere, mu mbandu midinga ya makaya, radon, amiante, mpi mupepe ya mbi.

Kansere ya bapumo lenda vanda na mitindu zole: kansere ya bapumo ya baselile ya fioti (SCLC) mpi kansere ya bapumo ya baselile ya fioti ve (NSCLC).

Pathophysiologie ya mitindu yai ya kansere ya bapumo lenda swaswana, sambu bo kele ti ba mutation ya kuswaswana mpi bo ke salaka mambu na mutindu ya kuswaswana na lusansu.

Mambu ya ke salaka nde kansere ya bapumo kubasisa maladi ke tadila mpi mutindu baselile ya kansere ke salaka ti baselile ya nkaka yina kele na nziunga na yo, mu mbandu divumu.

Baselile ya kansere lenda tina ngolo ya nitu yina ke taninaka nitu na maladi, mpi yo ke salaka nde yo yela mpi kumwangana kukonda mpasi.

Dyaka, mikroenvironnement ya tumeur lenda sadisa tumeur na kuyela mpi na kubasika na nitu ya nkaka na mpila yo kepesaka baselile ya kansere kisika ya mbote ya kuzinga.

Pathophysiologie ya kansere ya bapumo kele diambu mosi ya mpasi mpi ya ke sobaka, mpi bantu ya ke salaka bansosa ke salaka ngolo sambu na kubakisa mbote mambu yina ke salaka nde bo sadila yo sambu na kusala bankisi ya mbote mpi kubelula bambefo mbote.

['Baverse ya nkaka']

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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['Bo fwete sadila ve bansangu yina bo kepesa sambu na kuzaba to kubelula maladi mosi buna, mpi bantu yina kesosa bandongisila ya kimunganga fwete solula ti munganga yina kele ti nswa ya kusala kisalu yina.']

['Tala nde, ba-apareyi yina ke pesaka bamvutu na bangiufula ke vandaka ve mbote ntangu bo ke sadilaka ntalu, mu mbandu ntalu ya bantu yina bo me zaba nde bo ke belaka maladi mosi buna.']

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['Kana nge ke mona nde mambu ya nge ke tanga na site Internet na beto to na baservice na beto ke fwa banswa na nge, nge (to muntu yina ke twadisaka nge) lenda tindila beto mukanda sambu na kulomba nde beto katula yo to kukanga nzila na nge ya kusadila yo.']

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['5) na nima ya kupesa nzikisa na mukanda yina nge me sonika, nge fwete ndima nde mambu yina nge me tuba kele ya kieleka mpi nde nge kele ti nswa ya kusadila banswa yina bo me bebisa.']

['mpi (6) kidimbu ya muntu yina kele ti nswa ya kubasisa yo to ya muntu yina kele ti nswa ya kusala mambu na zina na yandi. ']

['Kana nge pesa ve bansangu yai yonso, yo lenda sala nde bo sala ve mambu nswalu.']

['Kusolula']

['Beno tindila beto email kana beno kele na ngyufula to ngindu.']

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.

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