The DOI matches its Crossref record.
Expression of HIF‐1α by human macrophages: implications for the use of macrophages in hypoxia‐regulated cancer gene therapy
Abstract
Large numbers of monocytes extravasate from the blood into human tumours, where they differentiate into macrophages. In both breast and prostate carcinomas, these cells accumulate in areas of low oxygen tension (hypoxia), where they respond to hypoxia with the up‐regulation of one or more hypoxia‐inducible factors (HIFs). These then accumulate in the nucleus and bind to short DNA sequences called hypoxia‐response elements (HREs) near or in such oxygen‐sensitive genes as that encoding the pro‐angiogenic factor vascular endothelial growth factor (VEGF). This stimulates gene expression and could explain why, in part, macrophages express abundant VEGF only in avascular, hypoxic areas of breast carcinomas. It also suggests that macrophages could be used to deliver HRE‐regulated therapeutic genes specifically to hypoxic tumour areas. A recent study suggested that hypoxic macrophages accumulate HIF‐2 rather than HIF‐1, prompting the search for HRE constructs that optimally bind HIF‐2 for use in macrophage‐based gene therapy protocols. However, the present study shows that human macrophages accumulate higher levels of HIF‐1 than HIF‐2 when exposed to tumour‐specific levels of hypoxia in vitro; that macrophages in human tumours express abundant HIF‐1; and that expression from HRE‐driven reporter constructs in the human macrophage‐like cell line MonoMac 6 correlates more closely with HIF‐1 than with HIF‐2 up‐regulation under hypoxia. Taken together, these findings suggest that HIF‐1 may be the major hypoxia‐inducible transcription factor in macrophages and that HIF‐1‐regulated constructs are likely to be effective in macrophage delivery of hypoxia‐regulated gene therapy to human tumours. Copyright © 2001 John Wiley & Sons, Ltd.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Exploiting tumour hypoxia in cancer treatment
Brown, J. M., & Wilson, W. R. (2004) · Nature Reviews Cancer · doi:10.1038/nrc1367 · Cited by 2,828
Distinct role of macrophages in different tumor microenvironments
Lewis, C. E., & Pollard, J. W. (2006) · Cancer Research · doi:10.1158/0008-5472.can-05-4005 · Cited by 2,225
Self-citationHIF-1α is essential for myeloid cell-mediated inflammation
Cramer, T., Yamanishi, Y., Clausen, B. E., Förster, I., Pawlinski, R., Mackman, N., Haase, V. H., Jaenisch, R., Corr, M., Nizet, V., et al. (2003) · Cell · doi:10.1016/s0092-8674(03)00154-5 · Cited by 2,046
The tumor microenvironment at a glance
Balkwill, F. R., Capasso, M., & Hagemann, T. (2012) · Journal of Cell Science · doi:10.1242/jcs.116392 · Cited by 1,857
The role of myeloid cells in the promotion of tumour angiogenesis
Murdoch, C., Muthana, M., Coffelt, S. B., & Lewis, C. E. (2008) · Nature Reviews Cancer · doi:10.1038/nrc2444 · Cited by 1,642
Self-citationTumor-Associated Macrophages as Major Players in the Tumor Microenvironment
Chanmee, T., Ontong, P., Konno, K., & Itano, N. (2014) · Cancers · doi:10.3390/cancers6031670 · Cited by 1,538
Murdoch, C., Giannoudis, A., & Lewis, C. E. (2004) · Blood · doi:10.1182/blood-2004-03-1109 · Cited by 915
Self-citationSelective and Specific Macrophage Ablation Is Detrimental to Wound Healing in Mice
Mirza, R., DiPietro, L. A., & Koh, T. J. (2009) · The American Journal of Pathology · doi:10.2353/ajpath.2009.090248 · Cited by 616
Imtiyaz, H. Z., Williams, E. P., Hickey, M. M., Patel, S. A., Durham, A. C., Yuan, L.-J., Hammond, R., Gimotty, P. A., Keith, B., & Simon, M. C. (2010) · Journal of Clinical Investigation · doi:10.1172/jci39506 · Cited by 461
Macrophage Responses to Hypoxia
Lewis, C., & Murdoch, C. (2005) · The American Journal of Pathology · doi:10.1016/s0002-9440(10)62038-x · Cited by 413
Self-citationKorbecki, J., Simińska, D., Gąssowska-Dobrowolska, M., Listos, J., Gutowska, I., Chlubek, D., & Baranowska-Bosiacka, I. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms221910701 · Cited by 380
Hypoxia-Inducible Factors as Essential Regulators of Inflammation
Imtiyaz, H. Z., & Simon, M. C. (2010) · Current Topics in Microbiology and Immunology · doi:10.1007/82_2010_74 · Cited by 379
Jekyll and Hyde: the role of the microenvironment on the progression of cancer
Allen, M., & Louise Jones, J. (2011) · The Journal of Pathology · doi:10.1002/path.2803 · Cited by 375
Monocyte/macrophage infiltration in tumors: modulators of angiogenesis
Dirkx, A. E. M., oude Egbrink, M. G. A., Wagstaff, J., & Griffioen, A. W. (2006) · Journal of Leukocyte Biology · doi:10.1189/jlb.0905495 · Cited by 326
Fang, H.-Y., Hughes, R., Murdoch, C., Coffelt, S. B., Biswas, S. K., Harris, A. L., Johnson, R. S., Imityaz, H. Z., Simon, M. C., Fredlund, E., et al. (2009) · Blood · doi:10.1182/blood-2008-12-195941 · Cited by 319
Self-citationHypoxia-Induced Gene Expression in Human Macrophages
Burke, B., Giannoudis, A., Corke, K. P., Gill, D., Wells, M., Ziegler-Heitbrock, L., & Lewis, C. E. (2003) · The American Journal of Pathology · doi:10.1016/s0002-9440(10)63483-9 · Cited by 286
Self-citationMicroglia in ischemic brain injury
Weinstein, J. R., Koerner, I. P., & Möller, T. (2009) · Future Neurology · doi:10.2217/fnl.10.1 · Cited by 272
Hypoxia-inducible factors: a central link between inflammation and cancer
Triner, D., & Shah, Y. M. (2016) · Journal of Clinical Investigation · doi:10.1172/jci84430 · Cited by 199
Tariq, M., Zhang, J., Liang, G., Ding, L., He, Q., & Yang, B. (2017) · Journal of Cellular Biochemistry · doi:10.1002/jcb.25895 · Cited by 178
Involvement of long noncoding RNAs in diseases affecting the central nervous system
Pastori, C., & Wahlestedt, C. (2012) · RNA Biology · doi:10.4161/rna.20482 · Cited by 100
Knowles, H. J., Mole, D. R., Ratcliffe, P. J., & Harris, A. L. (2006) · Cancer Research · doi:10.1158/0008-5472.can-05-2351 · Cited by 94
Hypoxia-inducible factors as key regulators of tumor inflammation
Mamlouk, S., & Wielockx, B. (2013) · International Journal of Cancer · doi:10.1002/ijc.27901 · Cited by 61
Tausendschön, M., Rehli, M., Dehne, N., Schmidl, C., Döring, C., Hansmann, M.-L., & Brüne, B. (2015) · Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms · doi:10.1016/j.bbagrm.2014.10.006 · Cited by 43
Metadata
- Authors
- Burke, B., Tang, N., Corke, K. P., Tazzyman, D., Ameri, K., Wells, M., & Lewis, C. E.
- Venue
- The Journal of Pathology
- Publisher
- Wiley
- Published
- 2001-12-11
- Volume
- 196
- Issue
- 2
- Pages
- 204-212
- ISSN
- 0022-3417 (ISSN-L)
- 1096-9896
- OpenAlex
- W2044118033
- Cited by
- 169
- References
- 0
- FWCI
- 2.71
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.