Predictive Response Value of Pre- and Postchemoradiotherapy Variables in Rectal Cancer: An Analysis of Histological Data

Are the tumor microenvironment characteristics of pretreatment biopsy specimens of colorectal cancer really effectively predict the efficacy of neoadjuvant therapy: A retrospective multicenter study

More and more studies had pointed out that the tumor microenvironment characteristics based on colorectal cancer (CRC) pretreatment biopsy specimens could effectively predict the efficacy of neoadjuvant therapy, but under hematoxylin and eosin (HE) staining, whether the tumor microenvironment characteristics observed by pathologists could predict the efficacy of neoadjuvant therapy remains to be discussed. We collected 106 CRC patients who received neoadjuvant treatment and surgical resection from 3 hospitals. The number of mitosis, inflammation degree, desmoplastic reaction (DR), necrosis, tumor-stroma ratio (TSR) and tumor budding (TB) of CRC pretreatment biopsy specimens were observed under HE staining, and the degree of tumor pathological remission of CRC surgical specimens after neoadjuvant treatment was evaluated. According to the tumor regression grade (TRG), patients were divided into good-responders (TRG 0-1) and non-responders (TRG 2-3). All data were analyzed with SPSS software (version 23.0) to evaluate the correlation between the number of mitosis, inflammation degree, DR, necrosis, TSR and TB in pretreatment biopsy samples and the treatment effect. In univariate analysis, mitosis (P = .442), inflammation degree (P = .951), DR (P = .186), necrosis (P = .306), TSR (P = .672), and TB (P = .327) were not associated with the response to neoadjuvant therapy. However, we found that for colon cancer, rectal cancer was more likely to benefit from neoadjuvant therapy (P = .024). In addition, we further analyzed the impact of mitosis, inflammation degree, DR, necrosis, TSR and TB on neoadjuvant therapy in rectal cancer, and found that there was no predictive effect. By analyzing the characteristics of tumor microenvironment of CRC pretreatment biopsy specimens under HE staining, such as mitosis, inflammation degree, DR, necrosis, TSR and TB, it was impossible to effectively predict the efficacy of neoadjuvant therapy for CRC.

Can we optimize CEA as a response marker in rectal cancer?

BACKGROUND AND AIM

carcinoembryonic antigen (CEA) is a biomarker commonly used in colorectal cancer. However, its prognostic value is still controversial. Recent studies demonstrate that CEA produced locally by tumor cells has a higher prognostic value compared to serum CEA. This study aimed to determine whether there was an association between the CEA/tumor size ratio (CEA/ExT) and the pathological tumor response in patients with rectal adenocarcinoma (ADC), who underwent neoadjuvant chemoradiotherapy (N-CRT), followed by surgical tumor resection.

METHODS

a retrospective study was performed of rectal ADC patients who underwent N-CRT followed by curative surgery between March/2012 and October/2017. CEA and tumor extension for pre-treatment CEA/ExT calculation and the pathological response in the surgical specimen after treatment were analyzed.

RESULTS

eighty-nine patients were included, 60.7 % were male and the mean age was 63.8 ± 10.42. There was a good response to N-CRT in 41.6 % of the patients, tumor downstaging occurred in 83.1 % and a complete pathological response in 23.6 % of cases. The average CEA/ExT was 2.01 ng/ml/cm. In the univariate analysis, higher CEA/ExT values were related to a lower frequency of pathological response (p = 0.04) and to a lower frequency of tumor downstaging (p = 0.02). In the multivariate analysis, CEA/ExT was independently related to tumor downstaging (OR: 0.72; 95 % IC: 0.53-0.98, p-0.036).

CONCLUSIONS

lower pre-treatment CEA/ExT values seem to be associated with tumor downstaging and this parameter may be a promising predictor of a more favorable response in patients with rectal ADC undergoing treatment with N-CRT.

A Multigene Model for Predicting Tumor Responsiveness After Preoperative Chemoradiotherapy for Rectal Cancer

PURPOSE

Although preoperative chemoradiotherapy (PCRT) is regarded as a standard treatment for locally advanced rectal cancer, there is no reliable biomarker for predicting responsiveness to PCRT. We aimed to develop a biomarker model for predicting response to PCRT.

METHODS AND MATERIALS

We included 184 patients who received PCRT followed by surgical resection and categorized them as good responders (complete or near-complete regression) or poor responders (all other patients). Candidate gene mRNAs were isolated from formalin-fixed paraffin-embedded tumor specimens and analyzed using the NanoString nCounter gene expression assay. Stepwise logistic regression analysis was used to select genes in discovery and training phases. A quantitative radio-responsiveness prediction model was developed and validated using internal cross-validation groups, and the model's predictive value was assessed based on the area under the receiver operating characteristic curve (AUC).

RESULTS

By comparing the gene expressions between good and poor responders, we created a multigene mRNA model using FZD9, HRAS, ITGA7, MECOM, MMP3, NKD1, PIK3CD, and PRKCB. This panel showed good ability to predict treatment response (AUC: 0.846 for the whole data set). Internal cross-validation was performed to evaluate the model's predictive stability among 3 cohorts, which provided AUC values of 0.808-0.909. The satisfactory diagnostic performance of the radio-response prediction index persisted regardless of other clinicopathologic features such as clinical T or N stage, interval between radiation and surgery, and pretreatment carcinoembryonic antigen levels (P = .001, 95% CI, 0.686-0.905).

CONCLUSIONS

We developed a multigene mRNA-based biomarker model that allows prediction of rectal cancer response to PCRT, which may help identify patients who will benefit most from PCRT.

Lymphocyte nadir predicts tumor response and survival in locally advanced rectal cancer after neoadjuvant chemoradiotherapy: Immunologic relevance

BACKGROUND AND PURPOSE

Neoadjuvant chemoradiation (nCRT) could reduce tumor infiltrating lymphocytes. We examined absolute lymphocyte count (ALC) nadir during nCRT, pathologic response and prognosis for locally advanced rectal cancer (LARC).

MATERIALS AND METHODS

102 patients with LARC (cT3-4N0, or node-positive) treated between 2010 and 2015 with nCRT followed by complete resection were analyzed. The ALC value was obtained prior to, weekly during the treatment, and one month after nCRT. Associations of ALC nadir with immune cells' infiltrations, pathologic response and survival were analyzed.

RESULTS

Twenty-four (23.5%) and 60 (58.9%) patients achieved pathologic complete response and partial response respectively. Response rate was higher in high ALC nadir group than low nadir group (89.7% vs. 67.6%, p = 0.006). Compared to low ALC nadir group, increased tumor infiltrates of CD4+ (4% vs. 17.5%, p < 0.001), CD8+ (8% vs.30%, p < 0.001) T cells and CD68+ macrophages (6% vs. 25%, p < 0.001) were observed in high ALC nadir group. High ALC nadir [OR = 4.32 (95% CI, 1.22-15.26), p = 0.023] and well differentiation [OR = 10.53 (1.87-59.36), p = 0.008] were associated with pathologic response. Patients with high ALC nadir yielded better DFS [HR = 0.36 (0.16-0.81), p = 0.010] and OS [HR = 0.24 (0.08-0.69), p = 0.004].

CONCLUSIONS

Higher ALC nadir during nCRT is associated with a higher rate of pathologic response and better survival for LARC patients, suggesting that ALC may be a potential stratification strategy for LARC patients.

Marital status and survival in patients with rectal cancer: A population-based STROBE cohort study

To examine the impact of marital status on overall survival (OS) and rectal cancer-specific survival (RCSS) for aged patients.We used the Surveillance, Epidemiology and End Results database to identify aged patients (>65 years) with early stage rectal cancer (RC) (T1-T4, N0, M0) in the United States from 2004 to 2010. Propensity score matching was conducted to avoid potential confounding factors with ratio at 1:1. We used Kaplan-Meier to compare OS and RCSS between the married patients and the unmarried, respectively. We used cox proportion hazard regressions to obtain hazard rates for OS, and proportional subdistribution hazard model was performed to calculate hazard rates for RCSS.Totally, 5196 patients were included. The married (2598 [50%]) aged patients had better crude 5-year overall survival rate (64.2% vs 57.3%, P < .001) and higher crude 5-year cancer-specific survival rate (80% vs 75.9%, P < .001) than the unmarried (2598 (50%)), respectively. In multivariate analyses, married patients had significantly lower overall death than unmarried patients (HR = 0.77, 95% CI = 0.71-0.83, P < .001), while aged married patients had no cancer-specific survival benefit versus the unmarried aged patients (HR = 0.92, 95% CI = 0.81-1.04, P = .17).Among old population, married patients with early stage RC had better OS than the unmarried, while current evidence showed that marital status might have no protective effect on cancer-specific survival.

Predictive clinical model of tumor response after chemoradiation in rectal cancer

Survival improvement in rectal cancer treated with neoadjuvant chemoradiotherapy (nCRT) is achieved only if pathological response occurs. Mandard tumor regression grade (TRG) proved to be a valid system to measure nCRT response. The ability to predict tumor response before treatment may significantly have impact the selection of patients for nCRT in rectal cancer. The aim is to identify potential predictive pretreatment factors for Mandard response and build a clinical predictive model design. 167 patients with locally advanced rectal cancer were treated with nCRT and curative surgery. Blood cell counts in peripheral blood were analyzed. Pretreatment biopsies expression of cyclin D1, epidermal growth factor receptor (EGFR), vascular endothelial growth factor (VEGF) and protein 21 were assessed. A total of 61 single nucleotide polymorphisms were characterized using the Sequenom platform through multiplex amplification followed by mass-spectometric product separation. Surgical specimens were classified according to Mandard TRG. The patients were divided as: "good responders" (Mandard TRG1-2) and "poor responders" (Mandard TGR3-5). We examined predictive factors for Mandard response and performed statistical analysis. In univariate analysis, distance from anal verge, neutrophil lymphocyte ratio (NLR), cyclin D1, VEGF, EGFR, protein 21 and rs1810871 interleukin 10 (IL10) gene polymorphism are the pretreatment variables with predictive value for Mandard response. In multivariable analysis, NLR, cyclin D1, protein 21 and rs1800871 in IL10 gene maintain predictive value, allowing a clinical model design.

CONCLUSION

It seems possible to use pretreatment expression of blood and tissue biomarkers, and build a model of tumor response prediction to neoadjuvant chemoradiation in rectal cancer.

Prediction of radio-responsiveness with immune-profiling in patients with rectal cancer

We evaluate whether the tumor immune infiltrate (TIL) could be used for prediction of responsiveness to preoperative chemoradiotherapy (PCRT) in rectal cancers. Using formalin-fixed paraffin-embedded slides of pretreatment biopsies, co-stain for CD4, CD8, CD274 (PD-L1), FOXP3, cytokeratin, and DAPI was performed with Opal multi staining kit (Perkin-Elmer, Waltham, MA). Multispectral imaging and digital analysis to visualize and quantify specific immune infiltrates were performed using the Vectra imaging system (Perkin-Elmer). The density (number of cells per mm²) and proportion of total TILs and specific cell types in the stroma were calculated by inForm™ 2.2.1 software (Perkin-Elmer). The density and proportion of total TILs and specific cell types in the stroma were calculated by inForm™ 2.2.1 software (Perkin-Elmer, Waltham, MA). Patients were classified as group with total regression (TR, n = 25) and group with residual disease (near total, moderate, and minimal regression, RD, n = 50). The mean density of T cell infiltration and CD274 (PD-L1)+ lymphocyte were significantly higher in TR (p = 0.005, p = 0.001). The proportion of CD4+ lymphocyte (p=0.042) and CD274 (PD-L1)+ lymphocyte (p = 0.002) were different between 2 groups. The TR group has lower CD4+ and higher CD274 (PD-L1)+ proportions than RD group. The ratio among CD4+, CD8+, CD274 (PD-L1)+, FOXP3+ T cell was different between groups. TR group showed lower CD4/ CD274 (PD-L1) (p = 0.007), CD8/ CD274 (PD-L1) (p = 0.02), and FOXP3/ CD274 (PD-L1) (p = 0.003) ratio than RD group. The determination of the immune infiltrate in biopsies before treatment could be a valuable information for the prediction of responsiveness to PCRT.