The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Accumulation of p62/SQSTM 1 is associated with poor prognosis in patients with lung adenocarcinoma
Open accessAbstract
p62/SQSTM 1 is a selective substrate of autophagy, and aberrant accumulation of p62 has been observed in various pathological conditions. To understand the roles p62 plays in non‐small‐cell lung cancer (NSCLC), we carried out immunohistochemical analyses of p62 expression in a cohort of patients with annotated clinicopathological data. As analyses of murine and human hepatocellular carcinomas suggested a correlation between p62 and Nrf2 accumulations, we also examined NRF 2 expression in the same cohort. The expression of NRF 2 and p62 was examined by immunohistochemical methods in 109 NSCLC cases, which included patients with adenocarcinoma (n = 72), squamous cell carcinoma (n = 31), and large cell carcinoma (n = 6). Accumulation of NRF 2 and p62 was detected in 34% and 37% of NSCLC patients, respectively. The accumulations of p62 and NRF 2 did not correlate with each other, but both were associated with worse lung cancer‐specific survival (P = 0.0003 for NRF 2; P = 0.0130 for p62). NRF 2 status had an impact on NSCLC prognosis irrespective of histology types, but p62 status did so particularly in adenocarcinoma (P = 0.037). Multivariate analysis indicated that positive immunoreactivities of NRF 2 and p62 were both independent factors predicting worse lung cancer‐specific survival (P < 0.0001 for NRF 2 and P = 0.04 for p62). This study revealed that both NRF 2 and p62 are independent prognostic factors for NSCLC. The prognostic impact of p62 status was pronounced in adenocarcinoma patients, suggesting that molecular mechanisms underlying cancer evolution differ between adenocarcinoma and squamous cell carcinoma. (Cancer Sci 2012; 103: 760–766)
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Oncogene-induced Nrf2 transcription promotes ROS detoxification and tumorigenesis
DeNicola, G. M., Karreth, F. A., Humpton, T. J., Gopinathan, A., Wei, C., Frese, K., Mangal, D., Yu, K. H., Yeo, C. J., Calhoun, E. S., et al. (2011) · Nature · doi:10.1038/nature10189 · Cited by 2,277
Autophagy-deficient mice develop multiple liver tumors
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Dysfunctional KEAP1–NRF2 Interaction in Non-Small-Cell Lung Cancer
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Structural Basis for Sorting Mechanism of p62 in Selective Autophagy
Ichimura, Y., Kumanomidou, T., Sou, Y.-S., Mizushima, T., Ezaki, J., Ueno, T., Kominami, E., Yamane, T., Tanaka, K., & Komatsu, M. (2008) · Journal of Biological Chemistry · doi:10.1074/jbc.m802182200 · Cited by 803
Direct Interaction between Nrf2 and p21Cip1/WAF1 Upregulates the Nrf2-Mediated Antioxidant Response
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Mature-onset obesity and insulin resistance in mice deficient in the signaling adapter p62
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Kurihara, N., Hiruma, Y., Zhou, H., Subler, M. A., Dempster, D. W., Singer, F. R., Reddy, S. V., Gruber, H. E., Windle, J. J., & Roodman, G. D. (2007) · Journal of Clinical Investigation · doi:10.1172/jci28267 · Cited by 127
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Metadata
- Authors
- Inoue, D., Suzuki, T., Mitsuishi, Y., Miki, Y., Suzuki, S., Sugawara, S., Watanabe, M., Sakurada, A., Endo, C., Uruno, A., Sasano, H., Nakagawa, T., Satoh, K., Tanaka, N., Kubo, H., Motohashi, H., & Yamamoto, M.
- Venue
- Cancer Science
- Publisher
- Wiley
- Published
- 2012-02-21
- Volume
- 103
- Issue
- 4
- Pages
- 760-766
- ISSN
- 1347-9032 (ISSN-L)
- 1349-7006
- OpenAlex
- W1977721235
- Cited by
- 204
- References
- 9
- FWCI
- 6.27
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Inoue, D., Suzuki, T., Mitsuishi, Y., Miki, Y., Suzuki, S., Sugawara, S., Watanabe, M., Sakurada, A., Endo, C., Uruno, A., Sasano, H., Nakagawa, T., Satoh, K., Tanaka, N., Kubo, H., Motohashi, H., & Yamamoto, M. (2012). Accumulation of p62/SQSTM 1 is associated with poor prognosis in patients with lung adenocarcinoma. Cancer Science. https://doi.org/10.1111/j.1349-7006.2012.02216.x
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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.
