| Literature DB >> 21556249 |
Siddik Sarkar1, Mahitosh Mandal.
Abstract
Biomarkers of breast cancer are necessary for prognosis and prediction to chemotherapy. Prognostic biomarkers provide information regarding outcome irrespective of therapy, while predictive biomarkers provide information regarding response to therapy. Candidate prognostic biomarkers for breast cancers are growth factor receptors, steroid receptors, Ki-67, cyclins, urokinase plasminogen activator, p53, p21, pro- and anti-apoptotic factors, BRCA1 and BRCA2. But currently, the predictive markers are Estrogen and Progesterone receptors responding to endocrine therapy, and HER-2 responding to herceptin. But there are numerous breast cancer cases, where tamoxifen is ineffective even after estrogen receptor positivity. This lead to search of new prognostic and predictive markers and the number of potential markers is constantly increasing due to proteomics and genomics studies. However, most biomarkers individually have poor sensitivity or specificity, or other clinical value. It can be resolved by studying various biomarkers simultaneously, which will help in better prognosis and increasing sensitivity for chemotherapeutic agents. This review is focusing on growth factor receptors, apoptosis markers, signaling cascades, and their correlation with other associated biomarkers in breast cancers. As our knowledge regarding molecular biomarkers for breast cancer increases, prognostic indices will be developed that combine the predictive power of individual molecular biomarkers with specific clinical and pathologic factors. Rigorous comparison of these existing as well as emerging markers with current treatment selection is likely to see an escalation in an era of personalized medicines to ensure the breast cancer patients receive optimal treatment. This will also solve the treatment modalities and complications related to chemotherapeutic regimens.Entities:
Keywords: apoptosis; chemotherapy; estrogen; growth factor receptor; mitogen-activated protein kinase; prognostic markers
Year: 2009 PMID: 21556249 PMCID: PMC3086304 DOI: 10.4137/bcbcr.s2492
Source DB: PubMed Journal: Breast Cancer (Auckl) ISSN: 1178-2234
Figure 1.Homology of ERα and ERβ a) Estrogen receptor and cross-talk signaling with RTK in breast cancer. b) Estrogen leads to transcription of cell proliferation gene via classical pathway (black arrow). Cross talk and bidirectional (gray arrows) signaling between mER, RTK, mER and downstream phosphorylation of Ser118 and 167 by MAPK/ERK and PI3-K/Akt pathway respectively leads to activation of estrogen regulated genes. GSK-3β inhibits (blocking red arrows) phosphorylation of Ser118 which is further inactivated by PI3-K/AKT.
Abbreviations: DBD, DNA binding domain; NLS, Nuclear localization sequence.
Figure 2.Epidermal growth factor receptor and Vascular endothelial growth factor receptor signaling in breast cancer.
Figure 3.Apoptosis and croos-talk signaling with RTK in breast cancer.
Bcl-2 family members.
| BCL-2 | BAX |
| BCL-XL | BAK |
| MCL-1 | BOK |
| A-1/BFL-1 | BAD |
| BCL-W | BID |
| BOO/DIVA | BIK |
| NR-13 | BLK |
| HRK | |
| BIM | |
| BNIP3 | |
| NIX | |
| NOXA |
Esteva and Hortobagyi.47
Bio-molecular markers of breast cancers.
| EGFR | 17% | Chemotherapy | |
| HER-2 | 25% | Monoclonal Humanized antibody | |
| VEGFR | 64% (Invasive breast cancer) | Chemotherapy | |
| ER and PR | 70%–80% | Endocrine therapy | |
| BRCA1 and BRCA2 | 2%–4% | Chemotherapy and Radiotherapy | |
| P53 | 25%–30% | Chemotherapy | |
| P21 (>10% of cells positive) | 65% | Chemotherapy | |
| Bcl-2 | 80% | Chemotherapy, antisense RNA | |
| Topoisomerase II α | >50.2% | Chemotherapy: Anthracycline | |
| uPA and PAI-1 | 46% | Adjuvant chemo or endocrine therapy | |
| Caspase-3 | 75.2% | Chemotherapy | |
| 83.3% | Genetherapy | ||
| 56% | Chemotherapy and endocrine therapy |
TIP30/CC3 is metastatic tumor suppressor gene. Decrease in expression of TIP30 is observed in 48% of breast cancer cases and 83.3% of TIP30 negativity tumors had lymph node metastasis and vascular invasion.
Ki-67 cut off value for primary (P) tumors is 10% and 15% for metastatic (M) tumors. P−/M− = 44%, P+/M+ = 27.3%, 14%, P−/M+ = 21.1%, P+/M− = 7.2%.
Abbreviations: uPA, urokinase plasminogen activator; PAI-1, plasminogen activator inhibitor-1.
Drugs used for breast cancer treatment.
| Tamoxifen | ER |
| Raloxifene | ER |
| Steroidal AI: Exemstane | Aromatase/Estrogen |
| Non-steroidal AI: Anastrozole and Letrozole | Aromatase/Estrogen |
| Herceptin | HER-2 |
| Pertuzumab | HER-2 |
| Bevacizumab | VEGF/VEGFR |
| Gefitinib | EGFR |
| Zactima | VEGFR/EGFR |
| Doxorubicin | DNA, Topoisomerase II complex |
| Taxane (Paclitaxel, docetaxel) | β subunit of tubulin, Bcl-2 |
| 5-Fluorouracil, capecitabine (prodrug) | Thymidylate synthase |