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Peter O'Connell


Click on the titles below to find US government-authored or -collected reports written by Peter O'Connell

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MTA1-Regulated Gene Expression: New Markers of Breast Cancer Metastasis SEP 2004 26 pages
Authors:  Peter O'Connell; VIRGINIA COMMONWEALTH UNIV RICHMOND
The full text of this report is available for sale.Doctors examine primary tumors and nearby lymph nodes to assess cancer spread, as node-positive breast tumors require obligatory chemotherapy. Most breast cancers are "node-negative" (confined to the breast), but, if left untreated, one fourth of these patients die from occult systemic disease ("micrometastasis"). Women with node-negative breast tumors that overexpress metastasis-associated 1 (MTA1) protein had recurrence risks identical to women with systemic disease (RR 2.7, p = 0.0006). For the ...


Can Gene Expression Pattern Analysis Predict Recurrence in Node-Negative Breast Cancer JUN 2003 7 pages
Authors:  Anand Immaneni; Peter O'Connell; BAYLOR COLL OF MEDICINE HOUSTON TX
The full text of this report is available for sale.Although a majority of women with node-negative breast cancers have a good prognosis, 30% experience recurrence and death from metastatic disease. As result, systemic therapies are routinely administered to nearly all of these node-negative patients. Markers that better predict recurrence risk would more effectively target adjuvant therapies to the patients most likely to benefit from them. Our goal is to identify the genetic markers that 1) are differentially expressed in ...


Can Gene Expression Pattern Analysis Predict Recurrence in Node-Negative Breast Cancer DEC 2002 18 pages
Authors:  Peter O'Connell; BAYLOR COLL OF MEDICINE HOUSTON TX
The full text of this report is available for sale.Some breast cancers spread (metastasize) to distant sites, putting the patient at high risk of death from this disorder. Clinicians now use tumor size, tumor appearance, and especially the presence of metastasis (cancer spread to local lymph nodes, or "node-positive breast cancer") to estimate the risk of early breast cancer death. These measures are imperfect, since 30% of the patients who should have a good outcome (no cancer spread to ...


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