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Lung Cancer: Understanding Its Molecular Pathology and the 2015 WHO Classification
Open accessAbstract
Lung cancer is the leading cause of cancer-related death worldwide due to late diagnoses and limited treatment interventions. Recently, comprehensive molecular profiles of lung cancer have been identified. These novel characteristics have enhanced the understanding of the molecular pathology of lung cancer. The identification of driver genetic alterations and potential molecular targets has resulted in molecular-targeted therapies for an increasing number of lung cancer patients. Thus, the histopathological classification of lung cancer was modified in accordance with the increased understanding of molecular profiles. This review focuses on recent developments in the molecular profiling of lung cancer and provides perspectives on updated diagnostic concepts in the new 2015 WHO classification. The WHO classification will require additional revisions to allow for reliable, clinically meaningful tumor diagnoses as we gain a better understanding of the molecular characteristics of lung cancer.
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Bartel (2004) · doi:10.1016/s0092-8674(04)00045-5 · Cited by 34,714
PD-1 and PD-L1 Immune Checkpoint Blockade to Treat Breast Cancer
Hartkopf, A. D., Taran, F.-A., Wallwiener, M., Walter, C. B., Krämer, B., Grischke, E.-M., & Brucker, S. Y. (2016) · Breast Care · doi:10.1159/000453569 · Cited by 30,845
Global cancer statistics, 2012
Torre, L. A., Bray, F., Siegel, R. L., Ferlay, J., Lortet‐Tieulent, J., & Jemal, A. (2015) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21262 · Cited by 26,850
Lynch, T. J., Bell, D. W., Sordella, R., Gurubhagavatula, S., Okimoto, R. A., Brannigan, B. W., Harris, P. L., Haserlat, S. M., Supko, J. G., Haluska, F. G., et al. (2004) · New England Journal of Medicine · doi:10.1056/nejmoa040938 · Cited by 11,486
MicroRNA expression profiles classify human cancers
Lu, J., Getz, G., Miska, E. A., Alvarez-Saavedra, E., Lamb, J., Peck, D., Sweet-Cordero, A., Ebert, B. L., Mak, R. H., Ferrando, A. A., et al. (2005) · Nature · doi:10.1038/nature03702 · Cited by 9,539
EGFR Mutations in Lung Cancer: Correlation with Clinical Response to Gefitinib Therapy
Paez, J. G., Jänne, P. A., Lee, J. C., Tracy, S., Greulich, H., Gabriel, S., Herman, P., Kaye, F. J., Lindeman, N., Boggon, T. J., et al. (2004) · Science · doi:10.1126/science.1099314 · Cited by 9,368
Mutational landscape determines sensitivity to PD-1 blockade in non–small cell lung cancer
Rizvi, N. A., Hellmann, M. D., Snyder, A., Kvistborg, P., Makarov, V., Havel, J. J., Lee, W., Yuan, J., Wong, P., Ho, T. S., et al. (2015) · Science · doi:10.1126/science.aaa1348 · Cited by 7,802
Comprehensive molecular profiling of lung adenocarcinoma
The Cancer Genome Atlas Research Network (2014) · Nature · doi:10.1038/nature13385 · Cited by 5,732
Identification of the transforming EML4–ALK fusion gene in non-small-cell lung cancer
Soda, M., Choi, Y. L., Enomoto, M., Takada, S., Yamashita, Y., Ishikawa, S., Fujiwara, S.-I., Watanabe, H., Kurashina, K., Hatanaka, H., et al. (2007) · Nature · doi:10.1038/nature05945 · Cited by 5,439
Travis, W. D., Brambilla, E., Noguchi, M., Nicholson, A. G., Geisinger, K. R., Yatabe, Y., Beer, D. G., Powell, C. A., Riely, G. J., Van Schil, P. E., et al. (2011) · Journal of Thoracic Oncology · doi:10.1097/jto.0b013e318206a221 · Cited by 4,792
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Lahiri, A., Maji, A., Potdar, P. D., Singh, N., Parikh, P., Bisht, B., Mukherjee, A., & Paul, M. K. (2023) · Molecular Cancer · doi:10.1186/s12943-023-01740-y · Cited by 1,102
Yee Kuen, C., & Masarudin, M. J. (2022) · Molecules · doi:10.3390/molecules27020473 · Cited by 78
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Asada, K., Kobayashi, K., Joutard, S., Tubaki, M., Takahashi, S., Takasawa, K., Komatsu, M., Kaneko, S., Sese, J., & Hamamoto, R. (2020) · Biomolecules · doi:10.3390/biom10040524 · Cited by 67
Targeting MYC-enhanced glycolysis for the treatment of small cell lung cancer
Cargill, K. R., Stewart, C. A., Park, E. M., Ramkumar, K., Gay, C. M., Cardnell, R. J., Wang, Q., Diao, L., Shen, L., Fan, Y.-H., et al. (2021) · Cancer & Metabolism · doi:10.1186/s40170-021-00270-9 · Cited by 62
Metadata
- Authors
- Inamura, K.
- Venue
- Frontiers in Oncology
- Publisher
- Frontiers Media SA
- Published
- 2017-08-28
- Volume
- 7
- Pages
- 193-193
- ISSN
- 2234-943X (ISSN-L)
- OpenAlex
- W2748959367
- Cited by
- 503
- References
- 57
- FWCI
- 25.92
- Type
- journal article
- Language
- en
- Open access
- gold
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