Literature DB >> 31413836

Association of tumor differentiation and prognosis in patients with rectal cancer undergoing neoadjuvant chemoradiation therapy.

Qunsheng Huang1,2, Huabo Qin3, Jian Xiao1,4, Xiaosheng He1,2, Minghao Xie5, Xin He6, Qiuqiong Yao1, Ping Lan1,2, Lei Lian1,2.   

Abstract

BACKGROUND AND
OBJECTIVE: Neoadjuvant chemoradiation therapy (NCRT) followed by radical resection has been a common practice for patients with locally advanced rectal cancer. This study aimed to analyse the association of tumor differentiation and prognosis in rectal-cancer patients undergoing NCRT.
METHODS: Patients with locally advanced, non-mucinous rectal cancer who underwent NCRT followed by radical resection between 2007 and 2017 were identified from an electronic health record system at the Sixth Affiliated Hospital of Sun Yat-sen University (Guangzhou, China). Multivariable logistic regression and multivariate Cox regression were performed to analyse the association of response to NCRT and survival with clinicopathological characteristics of all these patients.
RESULTS: We identified 325 patients (241 males and 84 females; mean age, 54.4 ± 11.2 years) who underwent NCRT followed by radical resection, including 26 (8.0%) with poorly-differentiated rectal cancer, 182 (56.0%) with moderately-differentiated cancer and 117 (36.0%) with well differentiated cancer. Propensity score matching analysis and multivariable logistic regression analysis results showed that tumor differentiation was significantly associated with response to NCRT. In the poor differentiation and non-poor differentiation groups, the 3-year overall survival (OS) rates were 74.6 and 93.5%, respectively, whereas the 3-year local recurrence rates were 18.6 and 3.7%, respectively. Multivariable Cox regression analyses revealed that poor differentiation was an independent risk factor for local recurrence and OS.
CONCLUSIONS: Among the patients with locally advanced, non-mucinous rectal cancer, the patients with poorly-differentiated cancer who underwent NCRT had a worse response to NCRT and poorer prognosis than those with moderately- and well-differentiated diseases.

Entities:  

Keywords:  Rectal cancer; neoadjuvant chemoradiation therapy; prognosis

Year:  2018        PMID: 31413836      PMCID: PMC6688738          DOI: 10.1093/gastro/goy045

Source DB:  PubMed          Journal:  Gastroenterol Rep (Oxf)


Introduction

Neoadjuvant chemoradiation therapy (NCRT) followed by radical resection has been a common treatment of patients with locally advanced rectal cancer. NCRT contributes to tumor pathological regression and reduces the local recurrence rate by approximately 50% in rectal cancer [1]. However, when compared with surgery alone [2] or post-operative chemoradiation therapy [3], NCRT failed to improve overall survival (OS) rates. Pathological complete response (pCR), which indicates a much more favorable prognosis, was only observed in 15–27% of patients undergoing NCRT [4, 5]. Response to NCRT was associated with multiple risk factors of rectal-cancer patients, including clinical characteristics [6], gene mutation [7, 8] and biological behavior [9-11]. Histology appears to be an excellent predictor for response to NCRT and prognosis in cancer patients. Response to NCRT in patients with mucinous rectal cancer was much poorer than that in patients with non-mucinous rectal cancer [9, 11, 12]. Differentiation in the diagnostic biopsies may help to predict the tumor response to NCRT [13]. When compared with patients with poorly- and moderately-differentiated rectal cancer, those with well-differentiated rectal cancer had a higher percentage of pCR [14]. Poor differentiation was a risk factor for progression-free survival of patients treated with NCRT [15]. In this study, we retrospectively analysed the data of patients with non-mucinous rectal cancer to explore the association between tumor differentiation and prognosis.

Patients and methods

Patients

The study was approved by the Institutional Review Board of the Sixth Affiliated Hospital of Sun Yat-sen University (Guangzhou, China). The patients who were diagnosed with locally advanced non-mucinous rectal cancer and underwent NCRT followed by radical resection between 2007 and 2017 were included in this study. The exclusion criteria were as follows: (i) patients with stage IV disease, (ii) patients with mucinous rectal cancer, (iii) patients with multiple primary tumors or recurrent cancer, (iv) patients with familiar adenomatous polyposis (FAP) or inflammatory bowel disease (IBD) and (v) patients with unavailable data.

Treatment and follow-up

All patients received at least one cycle of chemotherapy [including FOLFOX (leucovorin, fluorouracil and oxaliplatin), de Gramont (leucovorin and fluorouracil) or XELOX (capecitabine and oxaliplatin)] plus two to four cycles of radiotherapy (46.0–50.4 Gy delivered in 23–25 fractions) before surgery. Tumor regression grade (TRG) is a predictor of therapeutic response in rectal-cancer patients treated with NCRT followed by radical resection [16]. pCR was defined as the lack of any signs of cancer in tissue samples after NCRT. Magnetic resonance imaging (MRI) or computed tomography (CT) examination was performed before NCRT. The information of chemotherapy and radiotherapy, surgery and post-operative pathological diagnosis was also collected. The rectal cancer was categorized as poorly-differentiated cancer (PDC), moderately-differentiated (MDC) or well-differentiated cancer (WDC) based on post-operative pathological diagnosis. For all patients, follow-up was scheduled for surveillance every 3 months after the surgery for the first year, every 6 months for the next 2 years and every year thereafter. Response to NCRT was defined as down-staging of either T or N category (without any progression of T or N category) after NCRT.

Statistical analysis

The results of descriptive data for all factors are presented as the means and standard deviations for continuous variables or frequencies and percentages for categorical factors. Variance analysis or t-test was used for continuous factors and Chi-square test or Fisher’s exact probabilities test was used for categorical variables to compare the basic characteristics and the response to NCRT among groups. Propensity score matching (PSM) was used to analyse the association of differentiation and response. In PSM and survival analyses, the patients with moderately-differentiated and well-differentiated rectal cancer were combined as the non-poor difference (PD) group, whereas those with poorly-differentiated rectal cancer were defined as the PD group. The PD group and non-PD group were matched using propensity scores with a ratio of 1:4 by adjusting for age, sex, hemoglobin level, body mass index (BMI), serum total protein, serum albumin, T and N categories before NCRT and tumor location. Univariate and multivariable logistic regression analyses were performed to validate the PSM results. Univariate and multivariable Cox regression analyses were conducted to investigate the risk factors of local recurrence and OS. Except for differentiation, only the variables with statistical significance at the level of 0.05 in univariate analyses were included in multivariable models. The Kaplan–Meier analysis was performed to compare the OS rate and local recurrence rate between the PD and non-PD groups. A P-value of <0.05 was considered statistically significant. All analyses were performed using R version 3.2.4 (The R Foundation for Statistical Computing, Vienna, Austria).

Results

Characteristics of patients

The patient-identification process is shown in Figure 1. A total of 500 patients with non-mucinous rectal cancer undergoing chemoradiation followed by surgery between 2007 and 2017 were identified from the electronic health record system at the Sixth Affiliated Hospital of Sun Yat-sen University (Guangzhou, China). The final cohort included 325 patients, including 26, 182 and 117 patients with poorly-, moderately- and well-differentiated rectal cancers, respectively.
Figure 1

. The flow chart of the patient-identification process. Data source: the electronic health record system at the Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, China. FAP, familial adenomatous polyposis; IBD, inflammatory bowel disease.

. The flow chart of the patient-identification process. Data source: the electronic health record system at the Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, China. FAP, familial adenomatous polyposis; IBD, inflammatory bowel disease.

Comparison of demographic and clinicopathological characteristics

Demographic characteristics among groups are shown in Table 1. The mean age of the patients was 54.4 ± 11.2 years. The patients with poorly-differentiated rectal cancer were younger than those with moderately- and well-differentiated diseases (46.0 ± 10.2 vs 54.6 ± 10.8 vs 55.9 ± 11.1 years, P < 0.001). A higher proportion of females and higher clinical T and N category were observed in the PD group than the non-PD group. Lower rectal cancer occurred in 76.9, 60.5 and 69.3% of poorly-, moderately- and well-differentiated rectal cancers, respectively. Of note, 26.9% of pathological N2 cases were found to be poorly-differentiated rectal cancer, whereas 2.8 and 2.6% were moderately- and well-differentiated rectal cancers, respectively.
Table 1.

Clinicopathological characteristics of 325 patients with rectal cancer

Clinicopathological featureTotal (n = 325)Differentiation level of rectal cancer
P-value
Poor differentiation (n = 26)Moderate differentiation (n = 182)Well differentiated (n = 117)
Age, mean ± SD (years)46.0 ± 10.254.6 ± 10.855.9 ± 11.1<0.001
Sex, n (%)0.430
 Male241 (74.2)18 (69.2)140 (77.8)83 (70.9)
 Female84 (25.8)8 (30.8)42 (22.2)34 (29.1)
T category before NCRT, n (%)0.622
 T221 (6.5)2 (7.7)10 (5.5)9 (7.7)
 T3234 (72.0)16 (61.5)133 (73.1)85 (72.6)
 T470 (21.5)8 (30.8)39 (21.4)23 (19.7)
N category before NCRT, n (%)0.638
 N071 (21.8)5 (19.2)44 (24.2)22 (18.8)
 N1126 (38.8)9 (34.6)66 (36.3)51 (43.6)
 N2128 (39.4)12 (46.2)72 (39.5)44 (37.6)
Interval between NCRT and surgery, mean ± SD (days)a48.5 ± 26.453.6 ± 45.358.5 ± 45.00.494
Tumor location, n (%)0.409
 Upper rectum32 (9.9)1 (3.9)21 (11.5)10 (8.5)
 Middle rectum82 (25.2)5 (19.2)51 (28.0)26 (22.2)
 Low rectum211 (64.9)20 (76.9)110 (60.5)81 (69.3)
Surgical procedure, n (%)0.196
 Open56 (17.2)8 (30.8)31 (17.0)17 (14.5)
 Hand-assisted12 (3.7)05 (2.7)7 (6.0)
 Laparoscopic257 (79.1)18 (69.2)146 (80.3)93 (79.5)
Distance to the anal verge, mean ± SD (cm)3.9 ± 2.24.8 ± 2.65.0 ± 2.70.209
CRM status, n (%)0.062
 Positive2 (0.6)1 (4)01 (0.9)
 Negative315 (99.4)24 (96)179 (100)112 (99.1)
Number of lymph nodes dissected, mean ± SD8.8 ± 4.19.7 ± 5.49.5 ± 5.10.700
Pathological T category0.803
 T0–T2141 (43.4)11 (42.3)80 (44.0)50 (42.7)
 T3171 (52.6)13 (50)96 (52.7)62 (53.0)
 T413 (4.0)2 (7.7)6 (3.3)5 (4.3)
Pathological N category<0.001
 N0278 (85.5)19 (73.1)155 (85.2)104 (88.9)
 N132 (9.9)0 (0)22 (12.1)10 (8.5)
 N215 (4.6)7 (26.9)5 (3.7)3 (2.6)
TRGa0.147
 082 (26.1)12 (46.2)44 (24.2)26 (22.2)
 199 (31.4)7 (26.9)52 (28.6)40 (34.2)
 2–3134 (42.5)7 (26.9)80 (44.0)47 (40.2)
Down-staging of T category0.871
 Yes149 (45.8)14 (53.8)80 (44.0)55 (47.0)
 No176 (54.2)12 (46.2)102 (56.0)62 (53.0)
Down-staging of N category0.053
 Yes225 (69.2)14 (53.8)122 (67.0)89 (76.1)
 No100 (30.8)12 (46.2)60 (33.0)28 (23.9)
Response0.119
 Yes263 (81.9)17 (65.4)149 (81.9)97 (82.9)
 No62 (19.1)9 (34.6)33 (18.1)20 (17.1)
pCR0.276
 Yes62 (19.1)8 (30.8)32 (17.6)22 (18.8)
 No263 (80.9)18 (69.2)150 (82.4)95 (81.2)

SD, standard deviation; NCRT, neoadjuvant chemoradiation; CRM, circumferential resection margin; TRG, tumor regression grade; pCR, pathological complete regression.

The data of 10 patients were missed and only 315 patients have complete information here.

Clinicopathological characteristics of 325 patients with rectal cancer SD, standard deviation; NCRT, neoadjuvant chemoradiation; CRM, circumferential resection margin; TRG, tumor regression grade; pCR, pathological complete regression. The data of 10 patients were missed and only 315 patients have complete information here.

The response to NCRT

A total of 263 patients (74.7%) achieved response after NCRT. The response rate of poorly-differentiated rectal cancer (65.4%) was lower than those of moderately- and well-differentiated rectal cancers (81.9 and 82.9%, respectively). Poorly-differentiated rectal cancer seemed to achieve a more favorable TRG and higher pCR rate than other groups; however, the differences were not significant between these groups in terms of response, TRG or pCR rate (Table 1). Propensity score analyses were performed to investigate the association of differentiation and response. Based on propensity scores, 104 patients in the non-PD group were matched to 26 patients in the PD group. The baseline characteristics and clinical outcome of these two groups are listed in Table 2. Univariate analysis results showed that patients in both groups were demographically homogeneous and that the PD group had a lower response rate than did the non-PD group (P = 0.020). However, no significant difference was found in the pCR rate or TRG between the two groups (Table 2).
Table 2.

Baseline clinicopathological characteristics and outcomes before and after matching on the propensity score

VariableBefore matching (n = 325)
P-valueAfter matching (n = 130)
P-value
PD group (n = 26)Non-PD group (n = 299)PD group (n = 26)Non-PD group (n = 104)
Age, mean ± SD (years)46.0 ± 10.255.1 ± 11.0<0.00146.0 ± 10.247.0 ± 9.80.662
Hemoglobin, mean ± SD (g/L)107.9 ± 30.9118.4 ± 17.30.102107.9 ± 30.9114.3 ± 19.60.588
Serum total protein, mean ± SD (g/L)64.1 ± 11.068.5 ± 6.30.00764.1 ± 11.066.7 ± 6.90.337
Serum albumin, mean ± SD (g/L)41.1 ± 4.341.1 ± 4.10.57541.1 ± 4.341.2 ± 4.40.884
CEA, mean ± SD (ng/mL)2.5 ± 2.13.9 ± 10.20.2512.5 ± 2.12.2 ± 1.60.337
Sex, n (%)0.7160.999
 Female8 (30.8)76 (25.4)8 (30.8)31 (29.8)
 Male18 (69.2)223 (74.6)18 (69.2)73 (70.2)
BMI, n (%)0.2930.962
 <18.5 or ≥247 (26.9)118 (39.5)7 (26.9)31 (29.8)
 18.5–23.919 (73.1)181 (60.5)19 (73.1)73 (70.2)
T category before NCRT, n (%)0.3240.814
 T22 (7.7)19 (6.4)2 (7.7)6 (5.8)
 T316 (61.5)218 (72.9)16 (61.5)69 (66.3)
 T48 (20.8)62 (20.7)8 (30.8)29 (27.9)
N category before NCRT, n (%)0.7620.641
 N05 (19.2)66 (22.1)5 (19.2)20 (19.2)
 N19 (34.6)117 (39.1)9 (34.6)27 (26.0)
 N212 (46.2)116 (38.8)12 (46.2)57 (54.8)
Surgical procedure, n (%)0.1670.210
 Open8 (30.8)48 (16.1)8 (30.8)18 (17.3)
 Hand-assisted012 (4.0)05 (4.8)
 Laparoscopic18 (69.2)239 (79.9)18 (69.2)81 (77.9)
Location, n (%)0.4360.924
 Low rectum20 (76.9)191 (63.9)20 (76.9)75 (72.1)
 Middle rectum5 (19.2)77 (25.8)5 (19.2)23 (22.2)
 Upper rectum1 (3.9)31 (10.3)1 (3.9)6 (5.8)
pCR, n (%)0.1220.650
 No18 (69.2)245 (81.9)18 (69.2)79 (76.0)
 Yes8 (30.8)54 (18.1)8 (30.8)25 (24.0)
TRG, n (%)0.0450.180
 012 (46.2)70 (23.4)12 (46.2)29 (27.9)
 17 (26.9)92 (30.8)7 (26.9)32 (30.8)
 2–37 (26.9)127 (42.5)7 (26.9)43 (41.3)
Response, n (%)0.0630.020
 No9 (34.6)53 (17.7)9 (34.6)14 (13.5)
 Yes17 (65.4)246 (82.3)17 (65.4)90 (86.5)
Down-staging of T category, n (%)1.0000.623
 No12 (46.2)135 (45.2)12 (46.2)40 (38.5)
 Yes14 (53.8)164 (54.8)14 (53.8)64 (61.5)
Down-staging of N category, n (%)0.1210.046
 No12 (46.2)88 (29.4)12 (46.2)25 (24.0)
 Yes14 (53.8)211 (70.6)14 (53.8)79 (76.0)

PD, poor differentiation; SD, standard deviation; CEA, carcinoembryonic antigen; BMI, body mass index; NCRT, neoadjuvant chemoradiation therapy; pCR, pathological complete response; TRG, tumor regression grade.

Baseline clinicopathological characteristics and outcomes before and after matching on the propensity score PD, poor differentiation; SD, standard deviation; CEA, carcinoembryonic antigen; BMI, body mass index; NCRT, neoadjuvant chemoradiation therapy; pCR, pathological complete response; TRG, tumor regression grade.

The association of differentiation and response

Univariate and multivariable logistic regression analyses were performed to further assess the risk factors associated with response to NCRT. After adjusting for risk factors, including sex, differentiated stage, T and N categories before NCRT, hemoglobin, serum total protein and serum albumin, multivariable analysis results showed that poor differentiation was an independent risk factor for response to NCRT [odds ratio (OR), 5.11; 95% confidence interval (CI), 1.72–15.0 and OR, 4.97; 95% CI, 1.62–15.2 for moderately- and well-differentiated rectal cancers, respectively, when compared with poor-differentiated rectal cancer] (Table 3).
Table 3.

Factors associated with response in 325 patients with rectal cancer

FactorsNo. of patients (%)Response
Response rate (%)OR (95% CI)OR (95% CI)
Univariate regression P-valueMultivariate regression P-value
Age, mean ± SD (years)54.4 ± 11.21.00 (0.98, 1.03)0.626
Sex, n (%)
 Male241187 (77.6%)ReferenceReference
 Female8476 (90.5%)2.74 (1.31, 6.48)0.0122.41 (1.02, 6.43)0.058
Differentiation level, n (%)
 PD2617 (65.4%)ReferenceReference
 MD182149 (81.7%)2.39 (0.94, 5.73)0.0555.11 (1.72, 15.0)0.003
 WD11797 (82.9%)2.57 (0.97, 6.51)0.0494.97 (1.62, 15.2)0.005
T category before NCRT, n (%)
 T22115 (57.7%)ReferenceReference
 T3234185 (79.1%)1.51 (0.51, 3.93)0.4180.77 (0.23, 2.34)0.652
 T47063 (90.0%)3.60 (1.03, 12.5)0.0411.42 (0.34, 5.81)0.623
N category before NCRT, n (%)
 N07139 (54.9%)ReferenceReference
 N1126108 (85.7%)4.92 (2.51, 9.92)<0.0014.73 (2.32, 9.94)<0.001
 N2128116 (90.6%)7.93 (3.81, 17.5)<0.0017.89 (3.51, 19.0)<0.001
Interval between NCRT and surgery, mean ± SD (days)(n = 315)52.7 ± 35.10.99 (0.98, 1.00)0.076
Hemoglobin (g/L)116.1 ± 19.60.97 (0.96, 0.99)0.0040.99 (0.97, 1.01)0.342
WBC (× 109/L)
 4–10191156 (81.7%)1.12 (0.64, 1.96)0.680
 <4 or >10134107 (79.8%)Reference
BMI (kg/m2)
 18.5–23.9200167 (83.5%)1.52 (0.87, 2.67)0.136
 <18.5 or ≥2412596 (76.8%)Reference
Serum total protein (g/L)(n = 324)67.8 ± 6.90.95 (0.90, 0.99)0.0190.95 (0.89, 1.01)0.080
Serum albumin (g/L)(n = 324)40.9 ± 4.00.91 (0.84, 0.98)0.0111.00 (0.90, 1.10)0.939
CEA (ng/mL)(n = 323)
 0–5276224 (81.2%)1.16 (0.52, 2.41)0.695
 >54737 (78.7%)Reference
Tumor location, n (%)
 Upper rectum3225 (78.1%)Reference
 Middle rectum8270 (85.4%)1.64 (0.55, 4.54)0.354
 Low rectum211168 (79.6%)1.09 (0.41, 2.58)0.845

OR, odds ratio; CI, confidence interval; SD, standard deviation; PD, poor differentiation; MD, medium differentiation; WD, well differentiated; NCRT, neoadjuvant chemoradiation therapy; WBC, white blood cell; BMI, body mass index; CEA, carcinoembryonic antigen.

Factors associated with response in 325 patients with rectal cancer OR, odds ratio; CI, confidence interval; SD, standard deviation; PD, poor differentiation; MD, medium differentiation; WD, well differentiated; NCRT, neoadjuvant chemoradiation therapy; WBC, white blood cell; BMI, body mass index; CEA, carcinoembryonic antigen.

Comparison of clinical outcomes

The median duration of follow-up was 24.8 months. The 3-year OS rates were 74.6 and 93.5% in the PD and non-PD groups, respectively (Figure 2). The 3-year local recurrence rates were 18.6 and 3.7% in the PD and non-PD groups, respectively (Figure 2). The results of multivariable Cox analysis revealed that PD was an independent risk factor for local recurrence (HR, 5.61; 95% CI, 1.64–19.11, P = 0.006) and OS (HR, 7.47, 95% CI, 2.18–25.5, P = 0.001) in rectal-cancer patients undergoing NCRT. However, a positive circumferential resection margin was also found to be an independent risk factor for OS (HR, 20.7, 95% CI, 1.83–235.00, P = 0.014) but not for local recurrence (Table 4).
Figure 2.

Kaplan–Meier curves of overall survival rate (A) and local recurrence rate (B) in differentiation groups. The PD group means poorly-differentiated cancer group and the non-PD group includes moderately- and well-differentiated cancer groups.

Table 4.

Multivariate Cox analysis of the 325 rectal-cancer patients

VariableRecurrence
P-valueOverall survival
P-value
HR95% CIHR95% CI
Age1.04(0.99, 1.09)0.124
BMI0.42(0.16, 1.12)0.081
CEA0.37(0.12, 1.10)0.074
Serum total protein0.31(0.09, 1.09)0.0680.43(0.14, 1.28)0.129
 CRM20.70(1.83, 235.00)0.014
 Histology
 Non-PDReferenceReference
 PD5.61(1.64, 19.11)0.0067.47(2.18, 25.50)0.001
N stage before NCRT
 N0ReferenceReference
 N11.26(0.11, 14.18)0.8521.58(0.29, 8.46)0.595
 N26.00(0.74, 48.10)0.0913.97(0.83, 18.90)0.083

HR, hazard ratio; CI, confidence interval; BMI, body mass index; CEA, carcinoembryonic antigen; CRM, circumferential resection margin; PD, poor differentiation; NCRT, neoadjuvant chemoradiation therapy.

Multivariate Cox analysis of the 325 rectal-cancer patients HR, hazard ratio; CI, confidence interval; BMI, body mass index; CEA, carcinoembryonic antigen; CRM, circumferential resection margin; PD, poor differentiation; NCRT, neoadjuvant chemoradiation therapy. Kaplan–Meier curves of overall survival rate (A) and local recurrence rate (B) in differentiation groups. The PD group means poorly-differentiated cancer group and the non-PD group includes moderately- and well-differentiated cancer groups.

Discussion

The present study found that patients with poorly-differentiated rectal cancer had a worse response but comparable pCR and TRG to NCRT than the patients with moderately- and well-differentiated rectal cancers. Poor differentiation was an independent risk factor for local recurrence and OS in patients with locally advance rectal cancer who underwent NCRT. The majority of previous studies used pCR as the outcome to assess the response to NCRT. However, existing evidence and our results both failed to show any association between differentiation and pCR [14, 17]. NCRT could benefit patients in other ways, including achieving the down-staging of T or N category and without progression. In a retrospective study with 96 patients, Qiu et al. [18] reported that the response and down-staging rates to NCRT in patients with poorly differentiated rectal cancer were only 52.2 and 30.4%, respectively, which were lower than those in the non-PDC group (78.9 and 54.9%). However, multivariable analysis results revealed that differentiation was not an independent factor for the response to NCRT [18]. Another retrospective study performed by Reggiani et al. [19] showed that patients with poorly-differentiated rectal cancer had poorer performance in down-staging of T category (P < 0.001) and TRG (P = 0.073) than those with moderately- and well-differentiated rectal cancers, which is consistent with the results of Garcia-Florex et al. [13]. The present study found that the non-PD group had a better response than did the PD group, indicating that NCRT could still benefit patients with moderately- and well-differentiated rectal cancers even when pCR did not occur. Further study under broader context and using a uniform protocol of NCRT should be conducted to confirm the association of tumor differentiation and the response to NCRT. Previous reports presented that NCRT might improve the local control but not the OS rate of rectal-cancer patients [2, 3]. However, some characteristics of the cancer might lead to differences of the prognosis, including histology and molecular marker. Zitt et al. [20] revealed that tumor differentiation, operative procedure and down-staging were independent risk factors for OS. Cebrian et al. [21] found that decreased polo-like kinase 1 (Plk1) expression, accompanied with higher-grade differentiation, was associated with poor pathological response and a low disease-free survival rate in rectal-cancer patients undergoing NCRT. Based on the literature and present results, the conclusion could be drawn that patients with poorly-differentiated rectal cancer who underwent NCRT have a worse prognosis than those with moderately- and well-differentiated rectal cancers. The following reasons may contribute to this poor prognosis in patients with poorly-differentiated rectal cancer. First, poorly-differentiated rectal cancer was located nearer to the anal verge than moderately- and well-differentiated rectal cancers, increasing the complications of NCRT and the difficulty of surgery. Second, de-differentiated tumors are more often found to invade vascular and neural structures and transgress histological boundaries [22]. Finally, NCRT might not improve the OS rate of rectal-cancer patients and, generally, an immature tumor is more aggressive than the differentiated tumors [22]. This study is limited by its retrospective design, in which inevitable heterogeneity appeared among groups. However, we performed PSM and multivariable analyses to overcome the drawback of the design and obtain a convincing result. Though the patients who received at least one cycle of chemotherapy plus radiotherapy before surgery were included in this study, we lack details of the exact neoadjuvant chemotherapy regimen and their associated toxicity. Another limitation is that the sample size of the PD group (n = 26, 8%) was relatively small. In conclusion, poor differentiation was associated with poor response to NCRT and prognosis in patients with locally advanced non-mucinous rectal cancer undergoing NCRT. These results may help clinicians to predict the prognosis of patients and develop more adaptive treatment strategies, reducing the extra suffering and financial burden of overtreatment.

Funding

This study was supported by the National Key Clinical Discipline, National Natural Science Foundation of China (No. 81570596 and No. 81770557) and Natural Science Foundation of Guangdong Province (No. E20160107201906268).
  22 in total

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Journal:  Dis Colon Rectum       Date:  2013-06       Impact factor: 4.585

4.  Combination of differentiation and T stage can predict unresponsiveness to neoadjuvant therapy for rectal cancer.

Authors:  H-Z Qiu; B Wu; Y Xiao; G-L Lin
Journal:  Colorectal Dis       Date:  2011-12       Impact factor: 3.788

5.  Tumor response is predicted by patient genetic profile in rectal cancer patients treated with neo-adjuvant chemo-radiotherapy.

Authors:  E Cecchin; M Agostini; S Pucciarelli; A De Paoli; V Canzonieri; R Sigon; E De Mattia; M L Friso; P Biason; M Visentin; D Nitti; G Toffoli
Journal:  Pharmacogenomics J       Date:  2010-04-06       Impact factor: 3.550

6.  Rectal cancer: mucinous carcinoma on magnetic resonance imaging indicates poor response to neoadjuvant chemoradiation.

Authors:  Katja Oberholzer; Matthias Menig; Andreas Kreft; Astrid Schneider; Theodor Junginger; Achim Heintz; Karl-Friedrich Kreitner; Andreas M Hötker; Torsten Hansen; Christoph Düber; Heinz Schmidberger
Journal:  Int J Radiat Oncol Biol Phys       Date:  2011-01-13       Impact factor: 7.038

Review 7.  Neoadjuvant therapy in rectal cancer.

Authors:  Fergal J Fleming; Lars Påhlman; John R T Monson
Journal:  Dis Colon Rectum       Date:  2011-07       Impact factor: 4.585

8.  Long-term outcome in patients with a pathological complete response after chemoradiation for rectal cancer: a pooled analysis of individual patient data.

Authors:  Monique Maas; Patty J Nelemans; Vincenzo Valentini; Prajnan Das; Claus Rödel; Li-Jen Kuo; Felipe A Calvo; Julio García-Aguilar; Rob Glynne-Jones; Karin Haustermans; Mohammed Mohiuddin; Salvatore Pucciarelli; William Small; Javier Suárez; George Theodoropoulos; Sebastiano Biondo; Regina G H Beets-Tan; Geerard L Beets
Journal:  Lancet Oncol       Date:  2010-08-06       Impact factor: 41.316

9.  Epidermal growth factor receptor gene copy number, K-ras mutation and pathological response to preoperative cetuximab, 5-FU and radiation therapy in locally advanced rectal cancer.

Authors:  C Bengala; S Bettelli; F Bertolini; S Salvi; S Chiara; C Sonaglio; L Losi; N Bigiani; G Sartori; C Dealis; N Malavasi; R D'Amico; G Luppi; B Gatteschi; A Maiorana; P F Conte
Journal:  Ann Oncol       Date:  2008-12-18       Impact factor: 32.976

Review 10.  Cancer cell differentiation heterogeneity and aggressive behavior in solid tumors.

Authors:  Annika Jögi; Marica Vaapil; Martin Johansson; Sven Påhlman
Journal:  Ups J Med Sci       Date:  2012-02-29       Impact factor: 2.384

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  7 in total

1.  Combining Clinicopathology, IVIM-DWI and Texture Parameters for a Nomogram to Predict Treatment Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer Patients.

Authors:  Rixin Su; Shusheng Wu; Hao Shen; Yaolin Chen; Jingya Zhu; Yu Zhang; Haodong Jia; Mengge Li; Wenju Chen; Yifu He; Fei Gao
Journal:  Front Oncol       Date:  2022-05-27       Impact factor: 5.738

2.  Gene Expression Signature to Predict Prognosis and Adjuvant Chemosensitivity of Colorectal Cancer Patients.

Authors:  Jianxia Li; Jianwei Zhang; Huabin Hu; Yue Cai; Jiayu Ling; Zehua Wu; Yanhong Deng
Journal:  Cancer Manag Res       Date:  2020-05-11       Impact factor: 3.989

3.  Serum calcium improved systemic inflammation marker for predicting survival outcome in rectal cancer.

Authors:  Zhuokai Zhuang; Xiaolin Wang; Meijin Huang; Yanxin Luo; Huichuan Yu
Journal:  J Gastrointest Oncol       Date:  2021-04

4.  Pathologic-Based Nomograms for Predicting Overall Survival and Disease-Free Survival Among Patients with Locally Advanced Rectal Cancer.

Authors:  Shuai Liu; Fang He; Ying Guan; Huai-Qiang Ju; Yan Ma; Zhen-Hui Li; Xin-Juan Fan; Xiang-Bo Wan; Jian Zheng; Xiao-Lin Pang; Teng-Hui Ma
Journal:  Cancer Manag Res       Date:  2021-02-22       Impact factor: 3.989

5.  Improved Survival Outcome and Access to Cancer Screening from Hemorrhoid in Patients with Rectal Cancer.

Authors:  Qi Zou; Donglin Ren; Xiaolin Wang; Liangliang Bai; Guannan Tang; Meijin Huang; Yanxin Luo; Huichuan Yu
Journal:  Gastroenterol Res Pract       Date:  2020-12-10       Impact factor: 2.260

Review 6.  Tackling Surgical Morbidity and Mortality through Modifiable Risk Factors in Cancer Patients.

Authors:  Boram Lee; Ho-Seong Han
Journal:  Nutrients       Date:  2022-07-28       Impact factor: 6.706

7.  T-stage downstaging of locally advanced rectal cancer after neoadjuvant chemoradiotherapy is not associated with reduced recurrence after adjusting for tumour characteristics.

Authors:  Ian P Hayes; Elasma Milanzi; Rachel M Pelly; Peter Gibbs; Jeanette C Reece
Journal:  J Surg Oncol       Date:  2022-05-30       Impact factor: 2.885

  7 in total

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