Ho boleloa esale pele ha kankere ea matsoele ho bolela hore na ho tla etsahala'ng ka lefu lena.
Hangata e khethoa ke lintlha tse kang hore na kankere e boemong bofe, mofuta oa kankere, lilemo tsa mokuli le bophelo ba hae ka kakaretso, le hore na phekolo e sebetsa hantle hakae.
Ha kankere ea matsoele e fumanoa e sa le ka pele' me e phekoloa, boemo ba eona bo ba betere.
Palo ea bakuli ba nang le kankere ea matsoele ba pholohang ka mor'a lilemo tse hlano e ka ba 90%, ho bolelang hore bakuli ba 90% ba fumanoeng ba e-na le kankere ea matsoele ba ntse ba phela lilemo tse hlano ka mor'a hore ba fumanoe ba e-na le eona.
Leha ho le joalo, ke habohlokoa ho hlokomela hore boemo ba motho e mong le e mong bo fapane,'me boemo bo ka fapana haholo ho itšetlehile ka maemo a itseng.
McCarthy AM, Manning AK, Hsu S, Welch M, Moy B, Lehman CD, Armstrong K: Breast cancer polygenic risk scores are associated with short-term risk of poor prognosis breast cancer. Breast Cancer Res Treat. 2022, 196 (2): 389-398.
Han Y, Wang J, Xu B: Clinicopathological characteristics and prognosis of breast cancer with special histological types: A surveillance, epidemiology, and end results database analysis. Breast. 2020, 54 (): 114-120.
Wang Z, Chen J, Zhong MZ, Huang J, Hu YP, Feng DY, Zhou ZJ, Luo X, Liu ZQ, Jiang WZ, Zhou WB: Overexpression of ANLN contributed to poor prognosis of anthracycline-based chemotherapy in breast cancer patients. Cancer Chemother Pharmacol. 2017, 79 (3): 535-543.
Zhang L, Han L, Huang Y, Feng Z, Wang X, Li H, Song F, Liu L, Li J, Zheng H, Wang P, Song F, Chen K: SNPs within microRNA binding sites and the prognosis of breast cancer. Aging (Albany NY). 2021, 13 (5): 7465-7480.
Li Y, Duan W, Qi Q, Wang T, Yang Q, Du L, Mao H, Wang C: A novel long non-coding RNA AC073352.1 promotes metastasis and angiogenesis via interacting with YBX1 in breast cancer. Cell Death Dis. 2021, 12 (7): 670.
Li N, Li Z, Li X, Chen B, Sun H, Zhao K: Identification of an immune-related long noncoding RNA signature that predicts prognosis in breast cancer patients. Biomark Med. 2021, 15 (3): 167-180.
['Tlhokomeliso: tsa bongaka']
["Websaete ena e etselitsoe ho ruta le ho fana ka boitsebiso feela'me ha e fane ka keletso ea bongaka kapa litšebeletso tsa litsebi."]
["Boitsebiso bo fanoeng ha boa lokela ho sebelisoa ho hlahloba kapa ho phekola bothata ba bophelo bo botle kapa lefu,'me ba batlang keletso ea bongaka ba lokela ho buisana le ngaka e nang le lengolo la tumello."]
['Ka kōpo hlokomela hore neural net e hlahisang likarabo lipotsong, ha e nepahale haholo-holo ha ho tluoa linomorong.']
["Kamehla batla keletso ea ngaka ea hao kapa mofani e mong ea tšoanelehang oa tlhokomelo ea bophelo mabapi le boemo ba bongaka. Le ka mohla u se ke ua hlokomoloha keletso ea setsebi sa bongaka kapa ua lieha ho e batla ka lebaka la ntho eo u e balileng websaeteng ena. Haeba u nahana hore u ka 'na ua ba le boemo ba tšohanyetso ba bongaka, letsetsa 911 kapa u ee kamoreng ea tšohanyetso e haufi hang-hang. Ha ho kamano ea ngaka le mokuli e bōptjoang ke websaeteng ena kapa tšebeliso ea eona. BioMedLib kapa basebetsi ba eona, kapa motho leha e le ofe ea tlatsetsang ho websaeteng ena, ha a etse litemoso, tse hlakileng kapa tse sa hlakang, mabapi le boitsebiso bo fanoeng mona kapa tšebeliso ea eona."]
['Tlhokomeliso: litokelo tsa bangoli']
['Molao oa Digital Millennium Copyright Act oa 1998, 17 U.S.C. § 512 (DMCA) o fana ka litokelo tsa beng ba litokelo tsa bangoli ba lumelang hore thepa e hlahang Inthaneteng e hatakela litokelo tsa bona tlasa molao oa litokelo tsa bangoli ba U.S. ']
['Haeba u lumela ka tumelo e ntle hore litaba leha e le life kapa thepa e fumanehang mabapi le websaeteng kapa litšebeletso tsa rona e tlōla litokelo tsa hau tsa molao, uena (kapa moemeli oa hau) a ka re romella tsebiso e kōpang hore litaba kapa thepa e tlosoe, kapa ho fihlella ho eona ho thibeloe. ']
['Ditsebiso di tlameha ho romelwa ka lengolo ka imeile (bona karolo ya "Ho iteanya" bakeng sa aterese ya imeile). ']
["DMCA e hloka hore tsebiso ea hao ea ho tlōla ha molao ho boleloang hore e na le boitsebiso bo latelang: (1) tlhaloso ea mosebetsi o sirelelitsoeng ka molao o boleloang hore o tlōloa; (2) tlhaloso ea litaba tse boleloang hore li tlōla molao le boitsebiso bo lekaneng ho re lumella ho fumana litaba; (3) boitsebiso ba ho ikopanya le uena, ho akarelletsa aterese ea hau, nomoro ea fono le aterese ea imeile; (4) polelo ea hau ea hore u na le tumelo e ntle ea hore litaba ka tsela e belaelloang ha e lumelloe ke mong'a litokelo tsa molao, kapa moemeli oa eona, kapa ka ts'ebetso ea molao leha e le ofe; "]
['(5) polelo e saennweng ke wena, tlasa kotlo ya ho hlapanya leshano, ya hore tlhahisoleseding e tsebisong e nepahetse le hore o na le matla a ho tiisa ditokelo tsa mongodi tseo ho thweng di a tlolwa; ']
["le (6) ho saena ka letsoho kapa ka elektronike ha mong'a litokelo tsa bangoli kapa motho ea lumeletsoeng ho nka khato lebitsong la mong'a litokelo tsa bangoli. "]
['Ho hloleha ho kenyelletsa tlhahisoleseding yohle e ka hodimo ho ka baka ho dieha ha ho sebetswa tletlebo ya hao.']
['Ho Iteanya']
['Ka kōpo re romelle imeile ka potso / tlhahiso leha e le efe.']
What is prognosis of breast cancer?
The prognosis of breast cancer refers to the predicted outcome or likely course of the disease.
It is typically determined by factors such as the stage of the cancer, the type of cancer, the patient's age and overall health, and the effectiveness of treatment.
The earlier breast cancer is detected and treated, the better the prognosis tends to be.
The five-year survival rate for breast cancer patients is around 90%, meaning that 90% of patients diagnosed with breast cancer are still alive five years after their diagnosis.
However, it is important to note that every individual's situation is unique, and the prognosis can vary greatly depending on the specific circumstances.
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.
Always seek the advice of your doctor or other qualified health provider regarding a medical condition. Never disregard professional medical advice or delay in seeking it because of something you have read on this website. If you think you may have a medical emergency, call 911 or go to the nearest emergency room immediately. No physician-patient relationship is created by this web site or its use. Neither BioMedLib nor its employees, nor any contributor to this web site, makes any representations, express or implied, with respect to the information provided herein or to its use.
Disclaimer: copyright
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['Hoo e ka bang']
["BioMedLib e sebelisa lik'homphieutha tse iketsang (machine-learning algorithms) ho hlahisa lipotso le likarabo."]
['Re qala ka lingoliloeng tse limilione tse 35 tsa biomedical tsa PubMed/Medline. Hape, maqephe a websaete a RefinedWeb.']
