What causes Breast cancer?

['Yevelela emẽla eli']

Nye ca siata oku koka uveyi wo kanser?

Ka kuli esunga limosi lioku kuatiwa luveyi wo kanser yo vimo, pole kuli ovina vialua vi pondola oku vokiya ohele yoku kuatiwa luveyi waco.

Vimue pokati kovina viaco vievi:

1. Oku Kuka: Osimbu ukãi a kasi oku kuka, o kuata vali uvei wo kanser.

2. Esapulo liepata: Ukãi o kuete vali ohele yalua yoku kuatiwa luveyi wo kanser nda umue ukuepata liaye (ndeci ina, manjaye ukãi ale omõlaye ufeko) wa kuatiwilevo luveyi waco.

3. Oku pongoluiwa kuovimatamata vimue viuyali ndeci: BRCA1 kuenda BRCA2, vi vokiya ohele yoku kuatiwa luvei wo kanser.

4. Oku cita omãla: Oku fetika oku pita olosãi selo, oku liwekapo oku pita olosãi, oku yuvula oku cita omãla, ale oku cita omõla noke yoku tẽlisa 30 kanyamo, ci vokiya ohele yoku kuatiwa luvei wo kanser.

5. Oku sakula lovihemba vioku pongolola ombuto yulume: Akãi vana va siata oku sakuiwa lovihemba vioku pongolola ombuto yulume, va kuete ohele yalua yoku kuatiwa luvei wo kanser.

6. Oku nyua calua evi vi koluisa: Oku nyua calua evi vi koluisa ci vokiya ohele yoku kuatiwa luvei wo kanser.

7. Oku lẽla calua: Oku lẽla calua ku vokiya ohele yoku kuatiwa luvei wo kanser.

8. Oku kuata owesi woku linga olomapalo: Oku kuata owesi woku linga olomapalo, ci vokiya ohele yoku kuatiwa luvei wo kanser.

9. Oku kapiwa vocinyi: Oku kapiwa vocinyi ca lua, ca piãla vali enene vutila, ci pondola oku vokiya ohele yoku kuatiwa luveyi wo kanser.

10. Oku lẽla calua: Akãi vana okuti va lẽla calua, va kuete ohele yalua yoku kuatiwa luvei wo kanser.

11. Okuenda kuosãi: Akãi vana okuti va fetika okuenda kuosãi selo ale vana okuti va liwekapo okuenda kuosãi noke, va kuete vali ohele yalua yoku kuatiwa luvei wo kanser.

12. Oku Nyisa Oñaña: Akãi vana okuti lalimue eteke va nyisile omãla vavo, va kuete vali ohele yalua yoku kuatiwa luvei wo kanser.

13. Oku yuvula oku mina: Akãi vana va siata oku nyua ovihemba vioku yuvula oku mina, va kuete ohele yalua yoku kuatiwa luvei wo kanser.

Ci kuete esilivilo oku limbuka okuti oku kuata cimue ale ovina vialua vi koka ohele ka ci lomboloka okuti ukãi umue o ka kuata muẽle uveyi wo cancer yo vimo, kuenda akãi valua okuti va kuata uveyi wo cancer yo vimo ka va kuete cimue ci va kokela ohele.

Handi vali, kuli ovina vimue ndeci, oku kuka kuenda ovitangi vikuavo vepata okuti, ka ci tava oku vi yuvula.

['Atosi a Velapo']

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

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

Yoneda T: Cellular and molecular basis of preferential metastasis of breast cancer to bone. J Orthop Sci. 2000, 5 (1): 75-81.

Demirci S, Eser E, Ozsaran Z, Tankisi D, Aras AB, Ozaydemir G, Anacak Y: Validation of the Turkish versions of EORTC QLQ-C30 and BR23 modules in breast cancer patients. Asian Pac J Cancer Prev. 2011, 12 (5): 1283-7.

Kluttig A, Schmidt-Pokrzywniak A: Established and Suspected Risk Factors in Breast Cancer Aetiology. Breast Care (Basel). , 4 (2): 82-87.

Tabar L, Duffy SW, Yen MF, Warwick J, Vitak B, Chen HH, Smith RA: All-cause mortality among breast cancer patients in a screening trial: support for breast cancer mortality as an end point. J Med Screen. 2002, 9 (4): 159-62.

Gonzalez P, Lim JW, Wang-Letzkus M, Flores KF, Allen KM, Castañeda SF, Talavera GA: Breast Cancer Cause Beliefs: Chinese, Korean, and Mexican American Breast Cancer Survivors. West J Nurs Res. 2015, 37 (8): 1081-99.

['Oku yuvula oku litenga vovitangi:']

['O Web site eyi, ya sandekiwila lika oku longisa omanu kuenda oku va ĩha olonumbi.']

['Nda o yongola oku sakuiwa, sandiliya ondotolo yi kuete uloño woku ci linga.']

['Kũlĩhĩsa okuti, uloño woku konomuisa atambululo apulilo, ka u pondola oku eca atambululo a suapo, ca piãla enene nda etendelo liaco ka lia suilepo.']

['Olonjanja viosi sandiliya ekuatiso liondotolo yove ale liondotolo yikuavo ya loñoloha kueci catiamẽla kocitangi cimue cuhayele. Lalimue eteke ku ka sepule ekuatiso liondotolo ale oku livala koku sandiliya omo liocina cimue wa tanga vo website yilo. Nda o sima okuti o kuete ocitangi cimue cuhayele, vilikiya lonjanga o 911 ale enda lonjanga kosipitali. Ka kuli ukamba umue pokati kondotolo lukuenje wa vela omo lio website yilo ale oku talavaya layo.']

['Oku liyelisa: omoko yoku soneha']

['O Digital Millennium Copyright Act yo 1998, 17 U.S.C. § 512 (o DMCA) yeca epondolo kolonalavayi vi kuete omoko yoku linga eci va sima okuti ovina vi sangiwa vo Internet vi nyõla omoko yavo yi sangiwa vocihandeleko co Estados Unidos. ']

['Nda ove o tava okuti ovina vimue via kapiwa vo Internet ale vovipama vikuavo vi kasi vonumbi yetu vi nyõla omoko yove yoku panga alivulu, ove (ale omunu wa ku nõla) o pondola oku tu tumisa esapulo limue oco tu piñale ovina viaco ale oku vi tateka.']

['Asapulo te a tumiwa loku soneha kuenda vo email (tala vokakasia "Kontato" oco o sange onumbi yo email).']

['DMCA yi kisika okuti esapulo liove lioku lavisa ovihandeleko viovihandeleko viupange mua kongela asapulo akuãimo: (1) elomboluilo liupange u kuete ovihandeleko viupange okuti owo wa lavisiwa; (2) elomboluilo liupange u kuete ovihandeleko viupange kuenda asapulo a tẽla oku ecelela oku sanga upange waco; (3) asapulo oku ku sandiliya, oku kongelamo onumbi yove, etendelo liotelefone kuenda onumbi yo email; (4) esapulo liove okuti ove o kuete ekolelo liwa okuti upange waco ka wa taviwile la muẽliaco ovihandeleko viupange, ale onumiwa yaye, ale oku kuama ovihandeleko; ']

['(5) ukanda umue wa sinaliwa love okuti u lekisa okuti esapulo liaco liocili kuenda o kuete omoko yoku teyuila omoko yove yoku soneha.']

['Kuenda (6) ondimbukiso yocikuata ale yo komputador yomunu ukuete omoko yoku linga upange waco ale yomunu umue o kuete omoko yoku linga upange waco vonduko yomunu ukuete omoko yaco. ']

['Nda kua kongelele ulandu wosi wa tukuiwa ndeti, ci tava okuti o livala poku tetulula ocitangi cove.']

['Oku Sapela']

['Tu tumise o email lapulilo ale ovisimĩlo viove.']

What causes breast cancer?

There is no single cause of breast cancer, but several factors can increase the risk of developing the disease.

Some of these factors include:

1. Age: The risk of breast cancer increases as a woman gets older.

2. Family history: A woman's risk of breast cancer is higher if she has a close relative (mother, sister, or daughter) who has had breast cancer.

3. Genetic mutations: Certain inherited gene mutations, such as BRCA1 and BRCA2, increase the risk of breast cancer.

4. Reproductive history: Early menstruation, late menopause, and having no children or having the first child after age 30 can increase the risk of breast cancer.

5. Hormone replacement therapy: Women who take hormone replacement therapy for menopause have a higher risk of breast cancer.

6. Alcohol consumption: Drinking alcohol increases the risk of breast cancer.

7. Obesity: Being overweight or obese increases the risk of breast cancer.

8. Physical inactivity: A sedentary lifestyle can increase the risk of breast cancer.

9. Radiation exposure: Exposure to high doses of radiation, particularly during childhood, can increase the risk of breast cancer.

10. Breast density: Women with dense breasts have a higher risk of breast cancer.

11. Menstrual history: Women who started menstruating early or went through menopause late have a slightly higher risk of breast cancer.

12. Breastfeeding: Women who have never breastfed have a slightly higher risk of breast cancer.

13. Birth control: Women who use oral contraceptives have a slightly higher risk of breast cancer.

It is important to note that having one or more of these risk factors does not mean that a woman will definitely develop breast cancer, and many women who develop breast cancer have no known risk factors.

Additionally, some risk factors, such as age and family history, cannot be changed, while others, such as lifestyle factors, can be modified to reduce the risk.

Disclaimer: medical

This web site is provided for educational and informational purposes only and does not constitute providing medical advice or professional services.

The information provided should not be used for diagnosing or treating a health problem or disease, and those seeking personal medical advice should consult with a licensed physician.

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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Disclaimer: copyright

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