Literature DB >> 16239111

Prognostic and predictive factors revisited.

Daniel F Hayes1.   

Abstract

Standard prognostic factors include clinical and pathological staging, especially lymph node status and tumor size. Tumor grade and estimates of lymphatic invasion appear to be moderately strong predictive factors, but reproducibility is poor, especially for grade 2 tumors. Standard predictive factors include hormone receptor status and HER-2 amplification and/or over-expression for selection of endocrine therapy and, at least for clinical trials and in the metastatic setting, of trastuzumab, respectively. Three new markers appear particularly promising: detection of bone marrow metastases, either at baseline or after 2-4 years of follow-up; expression of UPA/PAI-1 by the primary cancer; and recognition of simultaneous multiple gene expression patterns, or "signatures." Important caveats exist for each of these. Although new technologies offer exciting and promising new approaches to determining a patient's prognosis and whether she will or will not benefit from specific therapies, few have been validated in well-designed, Level of Evidence I studies. In particular, available data are often confounded by patient selection and the effects of systemic therapy, which are often not determined prospectively, not included in analyses, and not reported adequately.

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Year:  2005        PMID: 16239111     DOI: 10.1016/j.breast.2005.08.023

Source DB:  PubMed          Journal:  Breast        ISSN: 0960-9776            Impact factor:   4.380


  35 in total

1.  Assessment of Urokinase-Type Plasminogen Activator and Its Inhibitor PAI-1 in Breast Cancer Tissue: Historical Aspects and Future Prospects.

Authors:  Manfred Schmitt; Karin Mengele; Apostolos Gkazepis; Rudolf Napieralski; Viktor Magdolen; Ute Reuning; Nadia Harbeck
Journal:  Breast Care (Basel)       Date:  2008-10-15       Impact factor: 2.860

2.  In stage II/III lymph node-positive breast cancer patients less than 55 years of age, keratin 8 expression in lymph node metastases but not in the primary tumour is an indicator of better survival.

Authors:  Serena Bonin; Danae Pracella; Renzo Barbazza; Sandro Sulfaro; Giorgio Stanta
Journal:  Virchows Arch       Date:  2015-02-28       Impact factor: 4.064

3.  Clinical trial designs for evaluating the medical utility of prognostic and predictive biomarkers in oncology.

Authors:  Richard Simon
Journal:  Per Med       Date:  2010-01-01       Impact factor: 2.512

Review 4.  Molecular screening for breast cancer prevention, early detection, and treatment planning: combining biomarkers from DNA, RNA, and protein.

Authors:  Katherine Stemke-Hale; Bryan Hennessy; Gordon B Mills; Rahul Mitra
Journal:  Curr Oncol Rep       Date:  2006-11       Impact factor: 5.075

5.  Absence of multiple atypical chemokine binders (ACBs) and the presence of VEGF and MMP-9 predict axillary lymph node metastasis in early breast carcinomas.

Authors:  Xiao-Hua Zeng; Zhou-Luo Ou; Ke-Da Yu; Lan-Yun Feng; Wen-Jing Yin; Jing Li; Zhen-Zhou Shen; Zhi-Min Shao
Journal:  Med Oncol       Date:  2014-08-06       Impact factor: 3.064

6.  uPAR and HER-2 gene status in individual breast cancer cells from blood and tissues.

Authors:  Songdong Meng; Debu Tripathy; Sanjay Shete; Raheela Ashfaq; Hossein Saboorian; Barbara Haley; Eugene Frenkel; David Euhus; Marilyn Leitch; Cynthia Osborne; Edward Clifford; Steve Perkins; Peter Beitsch; Amanullah Khan; Larry Morrison; Dorothee Herlyn; Leon W M M Terstappen; Nancy Lane; Jianqiang Wang; Jonathan Uhr
Journal:  Proc Natl Acad Sci U S A       Date:  2006-11-01       Impact factor: 11.205

7.  Treatment response to preoperative anthracycline-based chemotherapy in locally advanced breast cancer: the relevance of proliferation and apoptosis rates.

Authors:  Ksenija Kanjer; Svetislav Tatić; Zora Nešković-Konstantinović; Zaki Abu Rabi; Dragica Nikolić-Vukosavljević
Journal:  Pathol Oncol Res       Date:  2013-03-24       Impact factor: 3.201

8.  Genetic polymorphisms of metastasis suppressor gene NME1 and breast cancer survival.

Authors:  Shimian Qu; Jirong Long; Qiuyin Cai; Xiao-Ou Shu; Hui Cai; Yu-Tang Gao; Wei Zheng
Journal:  Clin Cancer Res       Date:  2008-08-01       Impact factor: 12.531

9.  Detection of incidental breast tumors by noncontrast spiral computed tomography of the chest.

Authors:  Hiroko Shojaku; Hikaru Seto; Hisakazu Iwai; Shinji Kitazawa; Wataru Fukushima; Katsuhiko Saito
Journal:  Radiat Med       Date:  2008-08-03

10.  Molecular alterations in key-regulator genes among patients with T4 breast carcinoma.

Authors:  Bruno Massidda; Mariacristina Sini; Mario Budroni; Francesco Atzori; Mariacristina Deidda; Valeria Pusceddu; Mariateresa Perra; Paola Sirigu; Antonio Cossu; Grazia Palomba; Mariateresa Ionta; Giuseppe Palmieri
Journal:  BMC Cancer       Date:  2010-08-24       Impact factor: 4.430

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