Nomograms for predicting pathological response to neoadjuvant treatments in patients with rectal cancer

Ren, DL; Li, J; Yu, HC; Peng, SY; Lin, WD; Wang, XL; Ghoorun, RA; Luo, YX

Luo, YX (reprint author), Sun Yat Sen Univ, Affiliated Hosp 6, Dept Colorectal Surg, Guangdong Inst Gastroenterol,Guangdong Prov Key L, 26 Yuaneun Erheng Rd, Guangzhou 510655, Guangdong, Peoples R China.

WORLD JOURNAL OF GASTROENTEROLOGY, 2019; 25 (1): 118

Abstract

BACKGROUND In recent decades, neoadjuvant therapy (NT) has been the standardized treatment for locally advanced rectal cancer (LARC). Approximately 8%-35% of patients with LARC who received NT were reported to have achieved a complete pathological response (pCR). If the pathological response (PR) can be accurately predicted, these patients may not need surgery. In addition, no response after NT implies that the tumor is destructive, resistant to both chemotherapy and radiotherapy, and prone to having a high metastatic potential. Therefore, developing accurate models to predict PR has great clinical significance and can help achieve individualized treatment in LARC patients. AIM To establish nomograms for predicting PR to different NT regimens based on pretreatment parameters for patients with LARC. METHODS Rectal cancer patients were identified from the database of The Sixth Affiliated Hospital, Sun Yat-sen University from January 2012 to December 2016. Logistic regression and nomograms were developed to predict the probability of pCR and good downstaging to ypT0-2N0M0 (ypTNM 0-I), respectively, based on pretreatment parameters for all LARC patients. Nomograms were also developed for three NT regimens (capecitabine/deGramont-RT, mFOLFOX6, and mFOLFOX6-RT) to predict pCR probability. RESULTS Four hundred and three patients were included in this study; 72 (17.9%) had pCR at the final pathology report, and 177 (43.9%) achieved good downstaging to ypTO-2N0M0 (ypTNM 0-D. The nomogram for predicting pCR probability showed that NT regimens, tumor differentiation, mesorectal fascia (MRF) status, and tumor length significantly influenced pCR probability. When predicting the probability of good downstaging, tumor differentiation, MRF status, and clinical T stage were the significant factors. Nomograms were developed based on NT regimens. For the capecitabine/de Gramont-RT group, the multivariate analysis showed that the neutrophil-lymphocyte ratio (NLR) was the only significant factor, thus we could not develop a nomogram for this regimen. For the mFOLFOX6-RT group, the analysis showed that the significant factors were tumor length and MRF status; and for the mFOLFOX6 group, the significant factors were tumor length and tumor differentiation. CONCLUSION We established accurate nomograms for predicting the PR to preoperative NT regimens based on pretreatment parameters for LARC patients.

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