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And that's where

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the exploding field of genomics has stepped in to provide a molecular/genetic analysis of a given tumor. Thus, for some women with very douglass breast cancer (very small tumors, confined to the breast, without spread
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to lymph
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nodes or other organs), future heart disease may be a more significant risk than a recurrence of the breast cancer. And, does that information affect how she is treated. It is also important
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Oncologists routinely use clinical risk-profiles, including

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tumor size, hormone receptor content, extent of involvement of the axillary nodes, and other factors discerned only when a pathologist examines the tumor cells under the microscope (sometimes referred to as the grade of the cancer cells). Yet despite advances using the available clinical profiles, one fundamental challenge remains. In real life not all people fit
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mathematical models. The physician may also use the Adjuvant.

So, a very com question arises when a woman over 50 presents with an estrogen-receptor- positive breast tumor and is axillary

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node negative at the same
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to provide a general clinical profile that estimates the risk of a future relapse, and thereby helps doctors
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and patients weigh the pros and cons of adjuvant ("helping") chemotherapy as an additional option. Information from
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this algorithm has an interface that can be shared with the patient. Arriving at Breast-Cancer Treatment So many women have had breast cancer and seem to be fine. Accordingly, prevention of cardiovascular disease can be a very important topic.. For these women, the doctor may consider the use of new agents such as Herceptin, a monoclonal antibody that targets the Her-2/neu protein.

If an individual woman turns up with breast cancer,

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lymph nodes, hormone receptor status, and so forth. Such drugs include tamoxifen or a newer class of hormone-blocking agents called aromatase inhibitors (for post-menopausal women). However, some risk factors are open to subjective interpretation
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and may vary from one observer to another. Thus, this Internet-based risk application is one additional
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tool for establishing the benefits of adjuvant (or helping) therapy for women with jamie breast cancer. This means using drugs that target the actions of these hormone receptors and thereby block the tumor-growth-promoting
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How does one personalize that woman's disease management so that her medical care is aligned to her risk

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as an individual, not the risk profile for a statistical group, or for the "average" patient—which is another way of saying the same thing. This helps physicians to be more precise in identifying individual differences that can be obscured by statistics. Some women have tumors that express the Her-2/neu protein, a special growth-signaling molecule for the cancer cells. How does one decide precisely who among the two thirds of patients with hormone-receptor-containing breast tumors face a high probability of relapse and might, therefore, also need adjuvant chemotherapy to improve the odds. Typically, if a woman's tumor contains receptors
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for hormones like estrogen, which is the morty two thirds of the time, she will be offered adjuvant hormone-blocking therapy. This is all based on the assumption that an individual patient will conform to the population's mathematical model.

Such adjuvant therapy itself has recognized risks and quality-of-life issues, and the physician and patient must discuss these topics in order to personalize breast cancer management. Algorithm, available free of charge, on-line.



   


















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