The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Comparison of Tumor Regression Grade Systems for Locally Advanced Rectal Cancer After Multimodality Treatment
Open accessAbstract
BACKGROUND: Tumor regression grade (TRG) is a measure of histopathological response of rectal cancer to neoadjuvant chemoradiation and is associated with outcomes. Several TRG systems are used: Mandard (5,3-tier), Dowrak/Rödel (5,3-tier), Memorial Sloan Kettering Cancer Center (MSKCC), and American Joint Committee on Cancer (AJCC) Cancer Staging. A single measure of rectal cancer response would assist in comparing results across institutions, and in designing future rectal cancer studies. In this study, the predictive accuracies of the various published classification schemes are compared. METHODS: Review of a prospective database identified 563 patients with locally advanced rectal cancer (T3/4 and/or N1) treated between 1998 and 2007 with long-course chemoradiation and total mesorectal excision. TRG was determined by measuring proportion of tumor mass replaced by fibrosis. Patients were classified into TRG schemes, which were compared by analyzing association with recurrence and survival using concordance index. Probabilities of recurrence-free survival were estimated using the Kaplan-Meier method. All statistical tests were two-sided. RESULTS: All TRG systems were predictive of recurrence. Concordance indices of the three-tier Mandard, three-tier Dowrak/Rödel, three-tier MSKCC, and four-tier AJCC systems were: 0.665, 0.653, 0.683, and 0.694, respectively (higher number = better prediction). The AJCC system more accurately predicted recurrence than the three-tier Mandard (P = .002) or Dowrak/Rödel (P = .006) and had a higher concordance index than MSKCC, although this did not reach statistical significance (P = .068). CONCLUSION: When classifying rectal cancer response to chemoradiation, the AJCC Staging Manual (7(th) edition) system is most accurate and should be adopted as the standard.
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Cites
Preoperative versus Postoperative Chemoradiotherapy for Rectal Cancer
Sauer, R., Becker, H., Hohenberger, W., Rödel, C., Wittekind, C., Fietkau, R., Martus, P., Tschmelitsch, J., Hager, E., Hess, C. F., et al. (2004) · New England Journal of Medicine · doi:10.1056/nejmoa040694 · Cited by 6,050
Mandard, A.-M., Dalibard, F., Mandard, J.-C., Marnay, J., Henry-Amar, M., Petiot, J.-F., Roussel, A., Jacob, J.-H., Segol, P., Samama, G., et al. (1994) · Cancer · doi:10.1002/1097-0142(19940601)73:11<2680::aid-cncr2820731105>3.0.co;2-c · Cited by 2,044
Sebag-Montefiore, D., Stephens, R. J., Steele, R., Monson, J., Grieve, R., Khanna, S., Quirke, P., Couture, J., de Metz, C., Myint, A. S., et al. (2009) · The Lancet · doi:10.1016/s0140-6736(09)60484-0 · Cited by 1,493
Pathological features of rectal cancer after preoperative radiochemotherapy
Dworak, O., Keilholz, L., & Hoffmann, A. (1997) · International Journal of Colorectal Disease · doi:10.1007/s003840050072 · Cited by 1,338
Prognostic Significance of Tumor Regression After Preoperative Chemoradiotherapy for Rectal Cancer
Rödel, C., Martus, P., Papadoupolos, T., Füzesi, L., Klimpfinger, M., Fietkau, R., Liersch, T., Hohenberger, W., Raab, R., Sauer, R., et al. (2005) · Journal of Clinical Oncology · doi:10.1200/jco.2005.02.1329 · Cited by 1,215
Ryan, R., Gibbons, D., Hyland, J. M. P., Treanor, D., White, A., Mulcahy, H. E., O'Donoghue, D. P., Moriarty, M., Fennelly, D., & Sheahan, K. (2005) · Histopathology · doi:10.1111/j.1365-2559.2005.02176.x · Cited by 726
Concordance probability and discriminatory power in proportional hazards regression
Gönen, M., & Heller, G. (2005) · Biometrika · doi:10.1093/biomet/92.4.965 · Cited by 673
Self-citationCapirci, C., Valentini, V., Cionini, L., De Paoli, A., Rodel, C., Glynne-Jones, R., Coco, C., Romano, M., Mantello, G., Palazzi, S., et al. (2008) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/j.ijrobp.2007.12.019 · Cited by 445
Vecchio, F. M., Valentini, V., Minsky, B. D., Padula, G. D. A., Venkatraman, E. S., Balducci, M., Miccichè, F., Ricci, R., Morganti, A. G., Gambacorta, M. A., et al. (2005) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/j.ijrobp.2004.11.017 · Cited by 423
Quah, H., Chou, J. F., Gonen, M., Shia, J., Schrag, D., Saltz, L. B., Goodman, K. A., Minsky, B. D., Wong, W. D., & Weiser, M. R. (2008) · Cancer · doi:10.1002/cncr.23516 · Cited by 258
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Patient-Derived Organoids Predict Chemoradiation Responses of Locally Advanced Rectal Cancer
Yao, Y., Xu, X., Yang, L., Zhu, J., Wan, J., Shen, L., Xia, F., Fu, G., Deng, Y., Pan, M., et al. (2020) · Cell Stem Cell · doi:10.1016/j.stem.2019.10.010 · Cited by 755
Adoption of Total Neoadjuvant Therapy for Locally Advanced Rectal Cancer
Cercek, A., Roxburgh, C. S. D., Strombom, P., Smith, J. J., Temple, L. K. F., Nash, G. M., Guillem, J. G., Paty, P. B., Yaeger, R., Stadler, Z. K., et al. (2018) · JAMA Oncology · doi:10.1001/jamaoncol.2018.0071 · Cited by 650
Self-citationShao, L., Liu, Z., Feng, L., Lou, X., Li, Z., Zhang, X.-Y., Wan, X., Zhou, X., Sun, K., Zhang, D.-F., et al. (2020) · Annals of Surgical Oncology · doi:10.1245/s10434-020-08659-4 · Cited by 92
Metadata
- Authors
- Trakarnsanga, A., Gönen, M., Shia, J., Nash, G. M., Temple, L. K., Guillem, J. G., Paty, P. B., Goodman, K. A., Wu, A., Gollub, M., Segal, N., Saltz, L., Garcia-Aguilar, J., & Weiser, M. R.
- Venue
- JNCI: Journal of the National Cancer Institute
- Publisher
- Oxford University Press (OUP)
- Published
- 2014-09-23
- Volume
- 106
- Issue
- 10
- ISSN
- 0027-8874 (ISSN-L)
- 1460-2105
- OpenAlex
- W2050365174
- Cited by
- 262
- References
- 18
- FWCI
- 4.31
- Type
- journal article
- Language
- en
- Open access
- green
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- Trakarnsanga, A., Gönen, M., Shia, J., Nash, G. M., Temple, L. K., Guillem, J. G., Paty, P. B., Goodman, K. A., Wu, A., Gollub, M., Segal, N., Saltz, L., Garcia-Aguilar, J., & Weiser, M. R. (2014). Comparison of Tumor Regression Grade Systems for Locally Advanced Rectal Cancer After Multimodality Treatment. JNCI: Journal of the National Cancer Institute. https://doi.org/10.1093/jnci/dju248
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