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In addition to hormone receptors, other cell surface proteins, such as HER2, may affect prognosis and treatment.
Differences in cell death susceptibility may affect prognosis through a treatment independent effect on intrinsic growth rate.
HCC has a heterogeneous etiology and many factors (e.g. patients' ethnicity and genetic background) may affect prognosis.
This suggests that NF1 mutations aggregate with specific other mutations and these may affect prognosis and response to specific treatment.
The prevalence of potentially pathogenic bacteria in patients with cirrhosis may affect prognosis, something supported by previous research (Guarner et al. 1997; Liu et al. 2004).
The altered expression of these immunomodulatory molecules in HNSCC may affect prognosis and has important implications for peptide-based immunotherapy strategies for these patients.
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Even though continued exposure after diagnosis may adversely affect prognosis, patients may be reluctant to disclose to their physicians that they are currently smoking, leading to inaccurate reporting of exposure and missed opportunities to deliver smoking-cessation advice and treatment in the context of cancer care.
Both a systemic inflammatory response and CNS inflammation may adversely affect prognosis, and both may play important roles in the development and progression of critical symptoms.
Such comorbid conditions may have effects prior to diagnosis (e.g. influence the likelihood of cancer screening or late-stage diagnosis) [ 10, 11], or affect survival post-diagnosis either directly (e.g. some comorbid conditions may adversely affect prognosis) or indirectly (e.g. some comorbid conditions may affect or limit treatment options or decisions).
Evidence is increasing that therapeutic modulation of neurohormonal activation with vasopressin receptor antagonists via V1A and V2 receptors may favourably affect prognosis of heart failure.
Early detection of breast cancer can reduce mortality and increase survival and there is a general agreement about the correlation between tumor size at diagnosis and survival; therefore, a delay in diagnosis may negatively affect prognosis [2].
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