What is prognosis of Breast cancer?

Kotsi ya kankere ya matswele ke efe?

Kotsi ya kankere ya matswele e šupa mafelelo ao a letetšwego goba tsela yeo bolwetši bo ka bago bo tšwela pele ka yona.

Gantši go laolwa ke dilo tše bjalo ka kgato ya kankere, mohuta wa kankere, nywaga ya molwetši le boemo bja gagwe bja tša maphelo ka kakaretšo le go šoma gabotse ga kalafo.

Ge kankere ya matswele e lemogwa e sa le ka pela gomme e alafša, go ka direga gore ponelo-pele e be e kaone.

Tekanyo ya go phologa ka morago ga nywaga e mehlano ya balwetši ba kankere ya matswele e ka ba 90%, e lego seo se bolelago gore balwetši ba 90% bao ba hwetšwago ba na le kankere ya matswele ba sa dutše ba phela nywaga e mehlano ka morago ga ge ba hweditše bolwetši bja bona.

Lega go le bjalo, go bohlokwa go lemoga gore boemo bja motho yo mongwe le yo mongwe bo a ikgetha gomme ponelopele e ka fapana kudu go ithekgile ka maemo a itšego.

['Ditšhupetšo']

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

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

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.

['Boikano: bja tša kalafo']

['Wepesaete ye e neetšwe feela bakeng sa go ruta le go nea tsebišo gomme ga e nee keletšo ya tša kalafo goba ditirelo tša tša kalafo.']

['Tsebišo yeo e neilwego ga se ya swanela go dirišwa bakeng sa go hlahloba goba go alafa bothata bja tša maphelo goba bolwetši, gomme bao ba nyakago keletšo ya tša kalafo ya motho ka noši ba swanetše go boledišana le ngaka yeo e nago le tumelelo.']

['Ka kgopelo lemoga gore netweke ya methapo yeo e tšweletšago dikarabo tša dipotšišo, ga e nepagale kudu ge go tliwa go diteng tša dinomoro. Ka mohlala, palo ya batho bao ba hweditšwego ba na le bolwetši bjo bo itšego.']

['Ka mehla nyaka keletšo ya ngaka ya gago goba mofani yo mongwe wa tlhokomelo ya tša maphelo yo a nago le bokgoni mabapi le boemo bja tša kalafo. Le ka mohla o se ke wa hlokomologa keletšo ya tša kalafo goba wa diega go e nyaka ka baka la selo seo o se badilego wepesaeteng ye. Ge e ba o nagana gore o ka ba o le boemong bja tšhoganetšo bja tša kalafo, leletša 911 goba o ye phapošing ya tšhoganetšo ya kgauswi le wena kapejana. Ga go na tswalano ya ngaka le molwetši yeo e bopšago ke wepesaete ye goba go e diriša. BioMedLib goba bašomi ba yona, goba motho le ge e le ofe yo a tsenyago letsogo wepesaeteng ye, ga ba dire ditshepišo le ge e le dife, e ka ba tše di boletšwego ka go lebanya goba tše di sa hlaloswago gabotse, mabapi le tsebišo yeo e neilwego mo goba go e diriša.']

['Go se tšee karolo: tokelo ya ngwalollo']

['Molao wa Digital Millennium Copyright wa 1998, 17 U.S.C. § 512 (DMCA) o nea baamogedi ba tokelo ya ngwalollo bao ba dumelago gore dilo tšeo di tšwelelago ka go Inthanete di tshwenyana le ditokelo tša bona ka tlase ga molao wa U.S. wa tokelo ya ngwalollo. ']

['Ge e ba o dumela ka potego gore diteng goba dilo tšeo di lego mabapi le wepesaete ya rena goba ditirelo di tshwenyana le tokelo ya gago ya go gatiša, wena (goba moemedi wa gago) o ka re romela tsebišo ya gore o kgopele gore diteng goba dilo tšeo di tlošwe goba gore o thibelwe go di fihlelela. ']

["Ditsebišo di swanetše go romelwa ka go ngwala ka emeile (lebelela karolo ya 'Kgokagano' go hwetša aterese ya emeile). "]

['DMCA e nyaka gore tsebišo ya gago ya go pharwa ga molao wa tokelo ya ngwalollo e akaretše tshedimošo ye e latelago: (1) tlhaloso ya mošomo wa tokelo ya ngwalollo wo o pharwago ka molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa go pharwa ga molao wa pharwa ga molao wa pharwa ga molao wa go pharwa ga molao wa pharwa ga molao wa pharwa ga molao wa pharwa ga molao wa pharwa ga molao wa pharwa ga molao wa pharwa ga molao wa pharwa ga molao wa pharwa ga molao wa pharwa ga molao wa pharwa ga molao wa pharwa ga molao wa pharwa ga molao wa pharwa ga molao wa pharwa ga molao wa pharwa ga molao wa pharwa ga molao wa pharwa ga molao wa pharwa ga molao wa pharwa ga molao wa pharwa ga molao.']

['(5) setatamente sa gago, seo se saennwego ka tlase ga kotlo ya go bolela maaka, gore tshedimošo yeo e lego tsebišong e nepagetše le gore o na le maatla a go phethagatša ditokelo tša mongwadi tšeo go thwego di a gatakelwa; ']

['le (6) tshaeno ya kgonthe goba ya elektroniki ya mong wa tokelo ya ngwalollo goba motho yo a dumeletšwego go dira legatong la mong wa tokelo ya ngwalollo. ']

['Go palelwa ke go akaretša tshedimošo ka moka ya ka godimo go ka dira gore go šongwa ga ngongorego ya gago go diege.']

['Go Ikgokaganya']

['Re romele imeile ka kgopelo le ge e le efe goba tšhišinyo.']

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

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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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