Maladi ya kanser ya libɛlɛ emonanaka na ndenge oyo maladi yango ekosuka.
Mbala mingi etalelaka makambo lokola stade ya kanser, lolenge ya kanser, mbula ya moto ya maladi mpe kolongono na ye ya nzoto, mpe ndenge oyo nkisi ezali kosala.
Motango ya bato oyo babikaka na kanser ya libɛlɛ nsima ya mbula mitano ezali pene na 90%, elingi koloba ete bato 90% oyo bazwaki maladi ya kanser ya libɛlɛ bazali naino na bomoi mbula mitano nsima ya kozwa maladi yango.
Nzokande, ezali na ntina koyeba ete ezalela ya moto na moto ekeseni, mpe makambo oyo makoki kobima na nsima makoki kokesana mingi engebene ezalela ya makambo.
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.
['Koboya: makambo ya monganga']
['Site oyo ezali kaka mpo na koteya mpe koyebisa bato makambo ya monganga, kasi ezali te mpo na kopesa toli to toli ya monganga.']
['Makambo oyo ezali na site yango esengeli te kosalelama mpo na koyeba maladi to kosalisa yango, mpe baoyo balingi kozwa toli ya monganga basengeli kotuna yango epai ya monganga oyo ayebi mosala yango malamu.']
['Tosengi na yo oyeba ete réseau neuronal oyo epesaka biyano na mituna, ezalaka mpenza malamu te soki ezali na makambo ya mituya. Na ndakisa, motango ya bato oyo bazali na maladi moko boye.']
['Sololá ntango nyonso na monganga to na moto mosusu oyo ayebi kosalisa maladi na yo. Koboya toli ya monganga te to kozela te mpo otángi likambo moko na site oyo. Soki okanisi ete ozali na maladi oyo esengeli kosalisa yo nokinoki, bengá 911 to kende na lopitalo ya pene. Site oyo to ndenge oyo ozali kosalela yango ezali na boyokani te na monganga ná moto oyo azali kosalisa yo.']
["Kozanga ndingisa: droit d'auteur"]
['Mobeko ya Copyright ya Milenere ya 1998, 17 U.S.C. § 512 (DMCA) epesi nzela na bakomi ya mikanda oyo bakanisi ete biloko oyo ezali na Internet ezali kobebisa lotomo na bango na kolanda mibeko ya copyright ya Etats-Unis. ']
['Soki ondimi na motema malamu ete makambo to biloko oyo ezali na site Internet to na ba service na biso ezali kobuka mibeko na yo, yo (to moto oyo azali na mokumba ya kobatela yo) okoki kotindela biso mokanda mpo na kosɛnga ete tólongola makambo to biloko yango to tópekisa yo kokɔta na yango. ']
['Basengeli kotinda bansango na mokanda na nzela ya email (tala na "Kotindelana" mpo na adresse ya email). ']
['Mibeko ya DMCA esengi ete mokanda na yo ya kofunda mbeba ya copyright ezala na makambo oyo elandi: (1) kolimbola mosala oyo ezali na droit ya copyright oyo bazali kofunda ete ebebisami; (2) kolimbola makambo oyo bazali kofunda ete ebebisi mpe makambo oyo ekoki mpo na kosalisa biso na koyeba esika makambo yango ezali; (3) makambo ya kosolola na yo, ata mpe adrɛsi na yo, nimero ya telefone mpe adrɛsi ya e-mail; (4) mokanda oyo okomi ete ondimi na motema malamu ete makambo oyo ozali kofunda ete ebebisami epesami nzela te na nkolo ya droit ya copyright, to na agent na ye, to na mibeko nyonso; ']
['(5) mokanda oyo okomi, oyo okotya sinyatili na yango mpo na komonisa ete makambo oyo okomaki ezali solo mpe ete ozali na lotomo ya kolandela lotomo ya babimisi oyo bazali koloba ete ebebisami; ']
['mpe (6) sinyatili ya moto oyo azali na lotomo ya kosala yango to ya moto oyo azali na lotomo ya kosala na nkombo na ye. ']
['Soki otye makambo nyonso te oyo ezali awa na likolo, yango ekoki kosala ete likambo na yo eumela.']
['Ndenge ya kosolola']
['Tosengi otindela biso email na motuna to likanisi nyonso.']
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.
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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.
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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['Na ntina na']
['BioMedLib esalelaka ba ordinateur oyo esalemi na masini (machine-learning algorithms) mpo na kobimisa mituna mpe biyano.']
['Tobandi na mikanda ya minganga 35 millions ya PubMed/Medline. Lisusu, ba pages ya RefinedWeb.']