The DOI matches its Crossref record; 274 of the 274 references it cites were found in a registry or an index.
The Clinical Importance of Assessing Tumor Hypoxia: Relationship of Tumor Hypoxia to Prognosis and Therapeutic Opportunities
Open accessAbstract
Tumor hypoxia is a well-established biological phenomenon that affects the curability of solid tumors, regardless of treatment modality. Especially for head and neck cancer patients, tumor hypoxia is linked to poor patient outcomes. Given the biological problems associated with tumor hypoxia, the goal for clinicians has been to identify moderately to severely hypoxic tumors for differential treatment strategies. The “gold standard” for detecting and characterizing of tumor hypoxia are the invasive polarographic electrodes. Several less invasive hypoxia assessment techniques have also shown promise for hypoxia assessment. The widespread incorporation of hypoxia information in clinical tumor assessment is severely impeded by several factors, including regulatory hurdles and unclear correlation with potential treatment decisions. There is now an acute need for approved diagnostic technologies for determining the hypoxia status of cancer lesions, as it would enable clinical development of personalized, hypoxia-based therapies, which will ultimately improve outcomes. A number of different techniques for assessing tumor hypoxia have evolved to replace polarographic pO2 measurements for assessing tumor hypoxia. Several of these modalities, either individually or in combination with other imaging techniques, provide functional and physiological information of tumor hypoxia that can significantly improve the course of treatment. The assessment of tumor hypoxia will be valuable to radiation oncologists, surgeons, and biotechnology and pharmaceutical companies who are engaged in developing hypoxia-based therapies or treatment strategies. Antioxid. Redox Signal. 21, 1516–1554. I. Introduction II. The Clinical Importance of Tumor Hypoxia A. Pathophysiology of hypoxia B. Hypoxia's negative impact on the effectiveness of curative treatment 1. Hypoxic tumors accumulate and propagate cancer stem cells 2. Hypoxia reduces the effectiveness of radiotherapy 3. Hypoxia increases metastasis risk and reduces the effectiveness of surgery 4. Hypoxic tumors are resistant to the effects of chemotherapy and chemoradiation C. Hypoxia is prognostic for poor patient outcomes III. Diagnosis of Tumor Hypoxia A. Direct methods 1. Oxygen electrode—direct pO2 measurement most used in cancer research 2. Phosphorescence quenching—alternative direct pO2 measurement 3. Electron paramagnetic resonance 4. 19F-magnetic resonance spectroscopy 5. Overhauser-enhanced MRI B. Endogenous markers of hypoxia 1. Hypoxia-inducible factor-1α 2. Carbonic anhydrase IX 3. Glucose transporter 1 4. Osteopontin 5. A combined IHC panel of protein markers for hypoxia 6. Comet assay C. Physiologic methods 1. Near-infrared spectroscopy/tomography—widely used for pulse oximetry 2. Photoacoustic tomography 3. Contrast-enhanced color duplex sonography 4. MRI-based measurements 5. Blood oxygen level-dependent MRI 6. Pimonidazole 7. EF5 (pentafluorinated etanidazole) 8. Hypoxia PET imaging—physiologic hypoxia measurement providing tomographic information a. 18F-fluoromisonidazole b. 18F-fluoroazomycinarabinofuranoside c. 18F-EF5 (pentafluorinated etanidazole) d. 18F-flortanidazole e. Copper (II) (diacetyl-bis (N4-methylthiosemicarbazone)) f. 18F-FDG imaging of hypoxia IV. Modifying Hypoxia to Improve Therapeutic Outcomes A. Use of hypoxia information in radiation therapy planning B. Use of hypoxia assessment for selection of patients responsive to nimorazole C. Use of hypoxia assessment for selection of patients responsive to tirapazamine D. Use of hypoxia assessment for selection of patients responsive to oxygen delivery therapies V. Concluding Remarks
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
Targeting HIF-1 for cancer therapy
Semenza, G. L. (2003) · Nature Reviews Cancer · doi:10.1038/nrc1187 · Cited by 6,717 · cited 3×
“It is constantly expressed and degraded via oxygen-dependent oxidation; therefore, its degradation is slowed at low oxygen pressure (103) with elevated protein levels found in many hypoxic tumors (245).”
Tumour stem cells and drug resistance
Dean, M., Fojo, T., & Bates, S. (2005) · Nature reviews. Cancer · doi:10.1038/nrc1590 · Cited by 3,668
Exploiting tumour hypoxia in cancer treatment
Brown, J. M., & Wilson, W. R. (2004) · Nature Reviews Cancer · doi:10.1038/nrc1367 · Cited by 2,828
Tumor Hypoxia: Definitions and Current Clinical, Biologic, and Molecular Aspects
Hockel, M., & Vaupel, P. (2001) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/93.4.266 · Cited by 2,662 · cited 2×
“This survival mechanism is common among hypoxic tumors, resulting in a twofold increase in glucose uptake (determined in vitro) (29), elevated tissue acidity (44), and an evolutionary selection for a progressively more malignant phenotype (102, 122).”
Association of reactive oxygen species levels and radioresistance in cancer stem cells
Diehn, M., Cho, R. W., Lobo, N. A., Kalisky, T., Dorie, M. J., Kulp, A. N., Qian, D., Lam, J. S., Ailles, L. E., Wong, M., et al. (2009) · Nature · doi:10.1038/nature07733 · Cited by 2,555
Hypoxia-mediated selection of cells with diminished apoptotic potential in solid tumours
Graeber, T. G., Osmanian, C., Jacks, T., Housman, D. E., Koch, C. J., Lowe, S. W., & Giaccia, A. J. (1996) · Nature · doi:10.1038/379088a0 · Cited by 2,300
The Histological Structure of Some Human Lung Cancers and the Possible Implications for Radiotherapy
Thomlinson, R. H., & Gray, L. H. (1955) · British Journal of Cancer · doi:10.1038/bjc.1955.55 · Cited by 2,219
(1999) · PubMed · Cited by 2,204
Gray, L. H., Conger, A. D., Ebert, M., Hornsey, S., & Scott, O. C. A. (1953) · The British Journal of Radiology · doi:10.1259/0007-1285-26-312-638 · Cited by 2,158
Höckel, M., Schlenger, K., Aral, B., Mitze, M., Schäffer, U., & Vaupel, P. W. (1996) · PubMed · Cited by 1,727
Cited by
ESPEN expert group recommendations for action against cancer-related malnutrition
Arends, J., Baracos, V., Bertz, H., Bozzetti, F., Calder, P. C., Deutz, N. E. P., Erickson, N., Laviano, A., Lisanti, M. P., Lobo, D. N., et al. (2017) · Clinical Nutrition · doi:10.1016/j.clnu.2017.06.017 · Cited by 1,305
HIFs, angiogenesis, and metabolism: Elusive enemies in breast cancer
de Heer, E. C., Jalving, M., & Harris, A. L. (2020) · Journal of Clinical Investigation · doi:10.1172/jci137552 · Cited by 372
Molecular imaging of the tumor microenvironment
Zhou, Z., & Lu, Z.-R. (2017) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2016.07.012 · Cited by 253
Tumor hypoxia: From basic knowledge to therapeutic implications
Liao, C., Liu, X., Zhang, C., & Zhang, Q. (2023) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2022.12.011 · Cited by 223
Hypoxia-induced CCL28 promotes recruitment of regulatory T cells and tumor growth in liver cancer
Ren, L., Yu, Y., Wang, L., Zhu, Z., Lu, R., & Yao, Z. (2016) · Oncotarget · doi:10.18632/oncotarget.12409 · Cited by 149
Metadata
- Authors
- Walsh, J. C., Lebedev, A., Aten, E., Madsen, K., Marciano, L., & Kolb, H. C.
- Venue
- Antioxidants & Redox Signaling
- Publisher
- SAGE Publications
- Published
- 2014-10
- Volume
- 21
- Issue
- 10
- Pages
- 1516-1554
- ISSN
- 1523-0864 (ISSN-L)
- 1557-7716
- OpenAlex
- W2132719707
- Cited by
- 420
- References
- 274
- FWCI
- 4.96
- Type
- journal article
- Language
- en
- Open access
- green
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The Clinical Importance of Assessing Tumor Hypoxia: Relationship of Tumor Hypoxia to Prognosis and Therapeutic Opportunities. https://app.cochat.ai/papers/10.1089/ars.2013.5378
- The paper
- Walsh, J. C., Lebedev, A., Aten, E., Madsen, K., Marciano, L., & Kolb, H. C. (2014). The Clinical Importance of Assessing Tumor Hypoxia: Relationship of Tumor Hypoxia to Prognosis and Therapeutic Opportunities. Antioxidants & Redox Signaling. https://doi.org/10.1089/ars.2013.5378
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.