The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Transcriptional Response to Hypoxia in Human Tumors
Open accessAbstract
BACKGROUND: The presence of hypoxic regions within solid tumors is associated with a more malignant tumor phenotype and worse prognosis. To obtain a blood supply and protect against cellular damage and death, oxygen-deprived cells in tumors alter gene expression, resulting in resistance to therapy. To investigate the mechanisms by which cancer cells adapt to hypoxia, we looked for novel hypoxia-induced genes. METHODS: The transcriptional response to hypoxia in human glioblastoma cells was quantified with the use of serial analysis of gene expression. The time course of gene expression in response to hypoxia in a panel of various human tumor cell lines was measured by real-time polymerase chain reaction. Hypoxic regions of human carcinomas were chemically marked with pimonidazole. Immunohistochemistry and in situ hybridization were used to examine gene expression in the tumor's hypoxic regions. RESULTS: From the 24 504 unique transcripts expressed, 10 new hypoxia-regulated genes were detected-all induced, to a greater extent than vascular endothelial growth factor, a hypoxia-induced mitogen that promotes blood vessel growth. These genes also responded to hypoxia in breast and colon cancer cells and were activated by hypoxia-inducible factor 1, a key regulator of hypoxic responses. In tumors, gene expression was limited to hypoxic regions. Induced genes included hexabrachion (an extracellular matrix glycoprotein), stanniocalcin 1 (a calcium homeostasis protein), and an angiopoietin-related gene. CONCLUSIONS: We have identified the genes that are transcriptionally activated within hypoxic malignant cells, a crucial first step in understanding the complex interactions driving hypoxia response. Within our catalogue of hypoxia-responsive genes are novel candidates for hypoxia-driven angiogenesis.
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
Cites
The tumour suppressor protein VHL targets hypoxia-inducible factors for oxygen-dependent proteolysis
Maxwell, P. H., Wiesener, M. S., Chang, G.-W., Clifford, S. C., Vaux, E. C., Cockman, M. E., Wykoff, C. C., Pugh, C. W., Maher, E. R., & Ratcliffe, P. J. (1999) · Nature · doi:10.1038/20459 · Cited by 5,180
Vascular endothelial growth factor induced by hypoxia may mediate hypoxia-initiated angiogenesis
Shweiki, D., Itin, A., Soffer, D., & Keshet, E. (1992) · Nature · doi:10.1038/359843a0 · Cited by 4,617
Vascular-specific growth factors and blood vessel formation
Yancopoulos, G. D., Davis, S., Gale, N. W., Rudge, J. S., Wiegand, S. J., & Holash, J. (2000) · Nature · doi:10.1038/35025215 · Cited by 3,699
HIF-1: mediator of physiological and pathophysiological responses to hypoxia
Semenza, G. L. (2000) · Journal of Applied Physiology · doi:10.1152/jappl.2000.88.4.1474 · Cited by 1,822
Regulation of tumor angiogenesis by p53-induced degradation of hypoxia-inducible factor 1α
Ravi, R., Mookerjee, B., Bhujwalla, Z. M., Sutter, C. H., Artemov, D., Zeng, Q., Dillehay, L. E., Madan, A., Semenza, G. L., & Bedi, A. (2000) · Genes & Development · doi:10.1101/gad.14.1.34 · Cited by 967
Cited by
Hypoxia — a key regulatory factor in tumour growth
Harris, A. L. (2002) · Nature Reviews Cancer · doi:10.1038/nrc704 · Cited by 5,177
Hypoxic microenvironment in cancer: molecular mechanisms and therapeutic interventions
Chen, Z., Han, F., Du, Y., Shi, H., & Zhou, W. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01332-8 · Cited by 1,612
Hypoxia signaling in human health and diseases: implications and prospects for therapeutics
Luo, Z., Tian, M., Yang, G., Tan, Q., Chen, Y., Li, G., Zhang, Q., Li, Y., Wan, P., & Wu, J. (2022) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-022-01080-1 · Cited by 499
Tumor hypoxia and malignant progression
Vaupel, P., Mayer, A., & Höckel, M. (2004) · Methods in Enzymology · doi:10.1016/s0076-6879(04)81023-1 · Cited by 496
The hypoxic tumour microenvironment and metastatic progression
Subarsky, P., & Hill, R. P. (2003) · Clinical & Experimental Metastasis · doi:10.1023/a:1022939318102 · Cited by 327
Eisenhofer, G., Huynh, T.-T., Pacak, K., Brouwers, F. M., Walther, M. M., Linehan, W. M., Munson, P. J., Mannelli, M., Goldstein, D. S., & Elkahloun, A. G. (2004) · Endocrine-Related Cancer · doi:10.1677/erc.1.00838 · Cited by 207
Exploiting the glioblastoma peptidome to discover novel tumour-associated antigens for immunotherapy
Dutoit, V., Herold-Mende, C., Hilf, N., Schoor, O., Beckhove, P., Bucher, J., Dorsch, K., Flohr, S., Fritsche, J., Lewandrowski, P., et al. (2012) · Brain · doi:10.1093/brain/aws042 · Cited by 201
(2003) · PubMed · Cited by 167
Lee, K., Kang, J. E., Park, S.-K., Jin, Y., Chung, K.-S., Kim, H.-M., Lee, K., Kang, M. R., Lee, M. K., Song, K. B., et al. (2010) · Biochemical Pharmacology · doi:10.1016/j.bcp.2010.06.018 · Cited by 149
HIF gene expression in cancer therapy
Chan, D. A., Krieg, A. J., Turcotte, S., & Giaccia, A. J. (2007) · Methods in Enzymology · doi:10.1016/s0076-6879(07)35016-7 · Cited by 26
HypoxaMIRs: Key Regulators of Hallmarks of Colorectal Cancer
Coronel-Hernández, J., Delgado-Waldo, I., Cantú de León, D., López-Camarillo, C., Jacobo-Herrera, N., Ramos-Payán, R., & Pérez-Plasencia, C. (2022) · Cells · doi:10.3390/cells11121895 · Cited by 13
Metadata
- Authors
- Lal, A., Peters, H., St. Croix, B., Haroon, Z. A., Dewhirst, M. W., Strausberg, R. L., Kaanders, J. H. A. M., van der Kogel, A. J., & Riggins, G. J.
- Venue
- JNCI Journal of the National Cancer Institute
- Publisher
- Oxford University Press (OUP)
- Published
- 2001-09-05
- Volume
- 93
- Issue
- 17
- Pages
- 1337-1343
- ISSN
- 0027-8874 (ISSN-L)
- 1460-2105
- OpenAlex
- W2152326461
- Cited by
- 320
- References
- 5
- FWCI
- 8.60
- Type
- journal article
- Language
- en
- Open access
- bronze
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.
