The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Increased density of tumor-associated macrophages is associated with decreased survival in advanced thyroid cancer
Open accessAbstract
Thyroid cancers are infiltrated with tumor-associated macrophages (TAMs), yet their role in cancer progression is not known. The objectives of this study were to characterize the density of TAMs in well-differentiated (WDTC), poorly differentiated (PDTC), and anaplastic thyroid cancers (ATC) and to correlate TAM density with clinicopathologic parameters. Immunohistochemistry was performed on tissue microarray sections from WDTC (n=33), PDTC (n=37), and ATC (n=20) using macrophage-specific markers. Electronic medical records were used to gather clinical and pathologic data. Follow-up information of PDTC patients was available for 0-12 years. In total, 9 out of 33 WDTC (27%), 20 out of 37 PDTC (54%), and 19 out of 20 ATC (95%) had an increased density of CD68(+) TAMs (> or = 10 per 0.28 mm(2); WDTC versus PDTC, P=0.03; WDTC versus ATC, P<0.0001; PDTC versus ATC, P<0.002). Increased TAMs in PDTC was associated with capsular invasion (P=0.034), extrathyroidal extension (P=0.009), and decreased cancer-related survival (P=0.009) compared with PDTC with a low density of TAMs. In conclusion, the density of TAMs is increased in advanced thyroid cancers. The presence of a high density of TAMs in PDTC correlates with invasion and decreased cancer-related survival. These results suggest that TAMs may facilitate tumor progression. As novel therapies directed against thyroid tumor cell-specific targets are being tested, the potential role of TAMs as potential modulators of the thyroid cancer behavior will need to be considered.
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Cites
Induction of angiogenesis during the transition from hyperplasia to neoplasia
Folkman, J., Watson, K., Ingber, D., & Hanahan, D. (1989) · Nature · doi:10.1038/339058a0 · Cited by 1,879
Macrophages Regulate the Angiogenic Switch in a Mouse Model of Breast Cancer
Lin, E. Y., Li, J.-F., Gnatovskiy, L., Deng, Y., Zhu, L., Grzesik, D. A., Qian, H., Xue, X.-N., & Pollard, J. W. (2006) · Cancer Research · doi:10.1158/0008-5472.can-06-1278 · Cited by 1,074
Yu, J. L., & Rak, J. W. (2003) · Breast Cancer Research · doi:10.1186/bcr573 · Cited by 146 · cited 1×
“1996, Yu 2003, Tsutsui et al .”
Cited by
Macrophage Polarization in Chronic Inflammatory Diseases: Killers or Builders?
Parisi, L., Gini, E., Baci, D., Tremolati, M., Fanuli, M., Bassani, B., Farronato, G., Bruno, A., & Mortara, L. (2018) · Journal of Immunology Research · doi:10.1155/2018/8917804 · Cited by 508
Fu, X.-L., Duan, W., Su, C.-Y., Mao, F.-Y., Lv, Y.-P., Teng, Y.-S., Yu, P.-W., Zhuang, Y., & Zhao, Y.-L. (2017) · Cancer Immunology, Immunotherapy · doi:10.1007/s00262-017-2052-5 · Cited by 242
Crosstalk between Hypoxia and ER Stress Response: a Key Regulator of Macrophage Polarization
Díaz-Bulnes, P., Saiz, M. L., López-Larrea, C., & Rodríguez, R. M. (2020) · Frontiers in Immunology · doi:10.3389/fimmu.2019.02951 · Cited by 175
Metadata
- Authors
- Ryder, M., Ghossein, R. A., Ricarte-Filho, J. C. M., Knauf, J. A., & Fagin, J. A.
- Venue
- Endocrine Related Cancer
- Publisher
- Bioscientifica
- Published
- 2008-09-10
- Volume
- 15
- Issue
- 4
- Pages
- 1069-1074
- ISSN
- 1351-0088 (ISSN-L)
- 1479-6821
- OpenAlex
- W2121078745
- Cited by
- 443
- References
- 3
- FWCI
- 4.12
- Type
- journal article
- Language
- en
- Open access
- bronze
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