Matarajio ya kansa ya matiti hurejezea tokeo linalotabiriwa au mwendo unaoonekana wa ugonjwa huo.
Kwa kawaida huamuliwa na mambo kama vile hatua ya kansa, aina ya kansa, umri wa mgonjwa na afya ya jumla, na ufanisi wa matibabu.
Kadiri kansa ya matiti inavyogunduliwa na kutibiwa mapema, ndivyo ugonjwa huo unavyokuwa bora zaidi.
Kiwango cha kuishi kwa miaka mitano kwa wagonjwa wa kansa ya matiti ni karibu 90%, ikimaanisha kwamba 90% ya wagonjwa waliogunduliwa na kansa ya matiti bado wako hai miaka mitano baada ya utambuzi wao.
Hata hivyo, ni muhimu kutambua kwamba hali ya kila mtu ni ya kipekee, na utabiri wa ugonjwa huo waweza kutofautiana sana ikitegemea hali hususa.
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.
Kanusho la dhima: matibabu
Tovuti hii hutolewa kwa madhumuni ya elimu na habari tu na si kutoa ushauri wa matibabu au huduma za kitaaluma.
Habari inayotolewa haipaswi kutumiwa kugundua au kutibu tatizo la afya au ugonjwa, na wale wanaotafuta ushauri wa kibinafsi wa kitiba wanapaswa kushauriana na daktari aliye na leseni.
Tafadhali kumbuka mtandao wa neva ambao hutengeneza majibu ya maswali, ni hasa usio sahihi linapokuja maudhui ya nambari. Kwa mfano, idadi ya watu waliogunduliwa na ugonjwa fulani.
Daima kutafuta ushauri wa daktari wako au mtoa huduma nyingine ya afya waliohitimu kuhusu hali ya matibabu. Kamwe kupuuza ushauri wa matibabu ya kitaaluma au kuchelewesha katika kutafuta yake kwa sababu ya kitu umesoma kwenye tovuti hii. Kama unafikiri unaweza kuwa na dharura ya matibabu, piga simu 911 au kwenda chumba cha dharura karibu mara moja. Hakuna uhusiano daktari-mgonjwa ni kuundwa na tovuti hii au matumizi yake. Wala BioMedLib wala wafanyakazi wake, wala mchangiaji yoyote ya tovuti hii, hufanya uwakilishi wowote, wazi au implicit, kuhusiana na taarifa zinazotolewa hapa au matumizi yake.
Utoaji wa dhima: hakimiliki
The Digital Millennium Copyright Act ya 1998, 17 U.S.C. § 512 (the DMCA) hutoa njia ya kurudi kwa wamiliki wa hakimiliki ambao wanaamini kuwa vifaa vinavyoonekana kwenye Mtandao vinakiuka haki zao chini ya sheria ya hakimiliki ya Merika.
Kama unaamini kwa imani nzuri kwamba maudhui yoyote au nyenzo zilizotolewa kuhusiana na tovuti yetu au huduma inakiuka hakimiliki yako, wewe (au wakala wako) unaweza kutuma sisi taarifa kuomba kwamba maudhui au nyenzo kuondolewa, au upatikanaji wake kuzuiwa.
Taarifa lazima zipelekwe kwa maandishi kwa barua pepe (tazama sehemu ya "Contact" kwa anwani ya barua pepe).
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(5) taarifa na wewe, saini chini ya adhabu ya ushahidi wa uongo, kwamba habari katika taarifa ni sahihi na kwamba una mamlaka ya kutekeleza haki za hakimiliki ambayo ni madai ya kukiuka;
na (6) saini ya kimwili au ya elektroniki ya mmiliki wa hakimiliki au mtu aliyeidhinishwa kutenda kwa niaba ya mmiliki wa hakimiliki.
Kushindwa kujumuisha habari zote hapo juu kunaweza kusababisha ucheleweshaji wa usindikaji wa malalamiko yako.
Mawasiliano
Tafadhali tutumie barua pepe na swali lolote / pendekezo.
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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Karibu
BioMedLib hutumia kompyuta za kiotomatiki (algorithms ya kujifunza mashine) kuzalisha jozi za maswali na majibu.
Tunaanza na machapisho milioni 35 ya biomedical ya PubMed/Medline. Pia, kurasa za wavuti za RefinedWeb.
