| Literature DB >> 29391829 |
Trevor S Mafu1, Alison V September1, Delva Shamley2.
Abstract
Shoulder morbidity is a well-documented sequela of breast cancer treatment, which includes various manifestations such as pain, reduced range of motion, and lymphedema, among others. The multifactorial nature of such morbidities has long been appreciated, and research on reliable risk predictors of development thereof still continues. Previous studies have demonstrated the potential of different types of physical therapy to treat such shoulder problems, and the integration of such interventions into routine care for breast cancer survivors is a requirement in most high-income countries. Although patients at risk for developing shoulder problems would most likely benefit from posttreatment physical therapy, currently, there is no gold standard for identifying this patient group. This is particularly important in low- and middle-income countries where scarce monetary resources need to be directed specifically to those most in need. Modulators of the angiogenesis pathway have been implicated in noncancer shoulder conditions such as rotator cuff disease, adhesive capsulitis, and tendon injuries. The present review summarizes the role of angiogenesis in the development of shoulder morbidity among breast cancer survivors and sets forth the rationale for our belief that angiogenesis signaling may help explain a proportion of the reported clinical variability noted in the development of shoulder pain and dysfunction and upper-limb lymphedema after breast cancer treatment.Entities:
Keywords: angiogenesis; breast cancer therapy; cytokines; polymorphism; shoulder dysfunction
Year: 2018 PMID: 29391829 PMCID: PMC5772395 DOI: 10.2147/CMAR.S151714
Source DB: PubMed Journal: Cancer Manag Res ISSN: 1179-1322 Impact factor: 3.989
Figure 1A schematic representation of angiogenesis signaling and suggested links to breast cancer therapy, inflammatory signaling, and matrix remodeling.
Notes: Breast cancer treatments, especially radiotherapy and chemotherapy, are known to induce an inflammatory response and resultant hypoxia in the tissue microenvironment. This response activates the two main transcription factors involved in angiogenesis regulation, NFκB and HIF1-α, which in turn activate angiogenesis signaling. Angiogenesis is largely regulated by the main factor VEGF-A and its receptor KDR, which induce the activation, proliferation, migration, survival, and maturation of endothelial cells.
Abbreviations: ECM, extracellular matrix; eNOS, endothelial nitric oxide synthase; HIF, hypoxia-inducible factor; ICAM, intercellular adhession molecule; MMPs, matrix metalloproteinases; NF-κB, nuclear factor κB; PDGF, platelet-derived growth factor; THBS, thrombospondins; TIMPs, tissue inhibitors of metalloproteinases; TNF-α, tumor necrosis factor-alpha; VCAM, vascular cell adhesion molecule; VEGF-A, vascular endothelial growth factor-A.
Examples of proangiogenic and antiangiogenic factors
| Proangiogenic | Antiangiogenic |
|---|---|
| VEGF-A | Thrombospondins (TSP-1 and TSP-2) |
| PDGF | Angiostatin |
| SDF | IL-12 |
| bFGF | Angiopoietin 2 |
| TNF-α | Endostatin |
| IL-8 | Interferon-α, -β, and -γ |
| NRP-1 | FLT-1 |
Abbreviations: bFGF, basic fibroblast growth factor; IL, interleukin; NRP-1, neuropilin-1; PDGF, platelet-derived growth factor; TNF-α, tumor necrosis factor-alpha; VEGF-A, vascular endothelial growth factor-A.
Genes and SNPs that have been reported to be significantly associated with morbidity after breast cancer treatment
| Gene | SNP/haplotype | Association | Risk | Study |
|---|---|---|---|---|
| haplotype A03 | Lymphedema | ↓ | Miaskowski et al | |
| rs16,944 | Fatigue | ↑ | Collado-Hidalgo et al | |
| rs1,16,74,595 | Severe persistent breast pain | ↑ | Stephens et al | |
| rs22,27,284 | Lymphedema | ↓ | Leung et al | |
| rs18,00,795 | Fatigue | ↑ | Bower et al | |
| rs15,18,111 | Lymphedema | ↓ | Leung et al | |
| haplotype A8 | Severe persistent breast pain | ↓ | Stephens et al | |
| rs3,15,721 | Lymphedema | ↓ | Miaskowski et al | |
| rs10,56,890 | Lymphedema | ↑ | Leung et al | |
| rs8,49,530 | Lymphedema | ↓ | Miaskowski et al | |
| haplotype F01 | ||||
| rs1,58,689 | Lymphedema | ↑ | Miaskowski et al | |
| rs71,58,782 | Musculoskeletal adverse events | ↑ | Ingle et al | |
| rs71,59,713 | ||||
| rs23,69,049 | ||||
| rs1,18,49,538 | ||||
| rs18,00,629 | Fatigue | ↑ | Bower et al | |
| rs17,99,964 | Higher anxiety levels | ↓ | Miaskowski et al | |
| rs30,93,662 | ↑ | |||
| rs31,76,861 | Lymphedema | ↓ | Miaskowski et al | |
| haplotype B03 | ↓ |
Notes: TCL1A gene implied due to proximity to the SNPs (all SNPs were [926-7000 bp]) proximal to the TCL1A gene. ↑, increase; ↓, decrease.
Abbreviations: NF-κB, nuclear factor κB; SNP, single-nucleotide polymorphism; TCL1A, T-cell leukemia 1A; VCAM, vascular cell adhesion molecules.