High-Grade Inflammation Attenuates Chemosensitivity and Confers to Poor Survival of Surgical Stage III CRC Patients

Background: Heterogeneous clinical and molecular characteristics are reported in colorectal cancer (CRC) with different tumor laterality. However, the outcome of left- and right-sided patients with stage I-III CRC and the role of chronic inflammation in survival differences between them remain unclear. Method: A prospective study including 1,181 surgical patients with stage I-III CRC was carried out to investigate the involvement of circulating fibrinogen-to-pre-albumin (Alb) ratio (FPR) and primary tumor sidedness in the clinical outcome of those patients. We further investigated the effect of FPR on adjuvant chemotherapy response and recurrence in stage III patients. Results: Our study showed that the right tumor location was significantly associated with poor recurrence-free survival (RFS) (p = 0.04, adjusted HR = 1.41, 95% CI = 1.02-1.94) and overall survival (OS) (p = 0.04, adjusted HR = 1.55, 95% CI = 1.01-2.38) only in the stage III disease. In these patients, T4 stage distribution (83.39 vs. 70.94%, p < 0.01) within right-sided cases was significantly higher than left-sided patients. Moreover, preoperative FPR within right-sidedness (p < 0.01), T4 stage (p < 0.05), and large cancer bulk (≥5 cm) (p < 0.05) subgroups was significantly elevated compared to their counterparts, and it was gradually rising following the increased cancer bulk (p trend < 0.01). High-FPR distribution (52.30 vs. 27.00%, p < 0.01) within right-sided patients with the stage III disease was significantly higher than that in the left-sided cases. RFS (p log-rank < 0.01) and OS (p log-rank < 0.01) of the high-FPR patients were extremely inferior to the low-FPR cases, and the significant associations were observed when they were adjusted by other confounders including primary tumor location (p < 0.01, adjusted HR = 1.96, 95% CI = 1.42-2.70 for RFS; p < 0.01, adjusted HR = 2.44, 95% CI = 1.59-3.75 for OS). Additionally, RFS of adjuvant chemotherapy-treated high-FPR patients was superior to the patients without chemotherapy (p log-rank = 0.01) but was inferior to the low-FPR patients undergoing the treatment, especially in the 5-FU- and XELOX-treated subgroup. Conclusion: These findings indicate that chronic high-grade inflammation weakens chemotherapy efficacy and contributes to the poor prognosis of stage III surgical CRC patients.

Quantification of fibrinogen-to-pre-albumin ratio provides an integrating parameter for differential diagnosis and risk stratification of early-stage colorectal cancer

BACKGROUND

Circulating fibrinogen to pre-albumin ratio (FPR) and albumin to fibrinogen ratio (AFR) are effective factors for predicting the prognosis of colorectal cancer (CRC). However, the role of these two ratios in diagnosing early-stage CRC and identifying the stage II CRC subgroup with high relapse risk remains unknown. This study aimed to assess the potential of FPR and AFR in differential diagnosis and risk stratification of early-stage CRC.

METHODS

A discovery (694 and 512 patients with benign colorectal polyps and stage I-II CRC, respectively) and validation (201 benign colorectal polyps cases and 202 stage I-II CRC individuals) cohorts were enrolled in this study. Receiver operating characteristic curve (ROC), Kaplan-Meier curve, and time-dependent ROC were used to evaluate the diagnostic efficacy of AFR and FPR in the two cohorts and overall population, and the discriminating role of FPR in identifying clinical high-relapse risk patients in comparison with common clinical characteristics in stage II CRC patients.

RESULTS

The area under the curve (AUC) of the preoperative circulating FPR was higher than that of AFR in the diagnosis of stage I-II CRC from colorectal adenomas and benign colorectal polyps in the discovery and validation cohorts and overall population. Carcinoembryonic antigen (CEA) combined with FPR could effectively discriminate early-stage CRC from colorectal adenomas or benign polyps. Preoperative FPR could effectively distinguish stage II subgroups with high and low relapse risk. It was superior to common clinical characteristics in identifying high-risk surgical patients who could benefit from adjuvant chemotherapy (CT) [time-dependent AUC: 0.637 vs. 0.511, p < 0.001 for predicting recurrence-free survival (RFS); 0.719 vs. 0.501, p < 0.001 for predicting overall survival (OS)]. Furthermore, CT treated stage II patients with FPR > 20 had the highest recurrence (31.16%) and death rates (21.88%), with similar highest recurrence (30.70%) and death (26.82%) rates found in non-CT-treated patients with FPR > 20. Stage II CRC patients with 20 ≥ FPR > 15 could significantly benefit from postoperative CT, as the recurrence (33.30%) and death (35.71%) rates within non-CT treated patients were approximately five times higher than those of the CT-treated cases (6.77% and 7.41% for the recurrence and death rates, respectively). No significant difference in recurrence rate was observed between L-FPR (≤ 15) patients with (10.00%) or without CT (9.76%), indicating that these patients might not require to receive adjuvant CT after curative resection.

CONCLUSIONS

Preoperative FPR combined with CEA is superior to common tumor biomarkers, FPR, or AFR in distinguishing early-stage CRC from benign colorectal polyps. Circulating FPR can be an effective biomarker for identifying high-risk patients and choosing suitable therapeutics for early-stage CRC.

Association between estrogen receptor 1 (ESR1) genetic variations and cancer risk: a meta-analysis

PURPOSE

Emerging published reports on the association between estrogen receptor 1 (ESR1) genetic variation and cancer susceptibility are inconsistent. This review and meta- analysis was performed to achieve a more precise evaluation of this relationship.

METHODS

A literature search of PubMed database was conducted from the inception of this study through April 1st 2014. Crude odds ratios (ORs) with 95% confidence intervals (95% CIs) were calculated to assess the association.

RESULTS

87 studies were enrolled in this meta-analysis. The results indicated that PvuII (T>C) polymorphism was associated with an increased risk of hepatocellular carcinoma (HCC) and prostate cancer, in contrast with the decreased risk of gallbladder cancer. No significant association was found in Asian and Caucasian populations. Furthermore, XbaI (A>G) genetic variation was only associated with an increased risk of prostate cancer, but was not related with race. In addition, T594T (G>A) polymorphisms were significantly associated with an increased risk of cancer, especially in Asian populations.

CONCLUSIONS

This meta-analysis indicated that PvuII (T>C) genetic variation may be risk factor for HCC, prostate cancer and gallbladder cancer. Meanwhile, XbaI (A>G) polymorphism may be potential prognostic factor for prostate cancer. Furthermore, T594T (G>A) was closely related with cancer susceptibility, especially in Asian populations.

Robust Predictive Performance of MLPAS and CCMLP for Clinical Outcome and Risk Stratification in Patients with Colorectal Cancer

BACKGROUND

There is no recognized biomarker is recommended to monitor or predict the prognosis of colorectal cancer (CRC) patients with negative detection of carcinoembryonic antigen (CEA) or carbohydrate antigen 19-9 (CA19-9) and to classify high recurrence-risk cases.

METHODS

Discovery and two-stage validation cohorts, which included 2111 radically resected patients with stage II-III CRC, were enrolled in this study. We detected preoperative peripheral monocyte, platelet, albumin (Alb), pre-albumin (pAlb), CEA, and CA19-9 and investigated the prognostic and risk-stratified roles of twelve new inflammatory biomarkers in the three cohorts.

RESULTS

In our study, monocyte-to-pAlb ratio (MPAR), monocyte-to-lymphocyte -to-Alb ratio (MLAR), monocyte-to-lymphocyte-to-pAlb ratio (MLPAR), monocyte- to-pAlb score (MPAS), lymphocyte-to-monocyte-Alb score (MLAS), lymphocyte-to monocyte-pAlb score (MLPAS), and platelet-to-lymphocyte-Alb score (PLAS) were significantly associated with both RFS and OS in three cohorts. MLPAS showed the best performance in predicting RFS and OS, and it was related to right-tumor location and significant cancer burden (≥5cm) in the overall population. Moreover, MLPAS is a robust prognostic biomarker in subgroups stratified by CEA or CA19-9. Patients with scores zero and two of the CEA-CA19-9-MLPAS score (CCMLP) showed the lowest and highest recurrence and death rates, respectively, and significant survival differences were observed between them.

CONCLUSION

MLPAS is an optimal, independent, and robust prognostic biomarker in the stage II-III CRC population, especially with negative CEA or CA19-9. The CCMLP could effectively classify high recurrence-risk patients who require more focus, monitoring, and treatment for the clinic.

Clinical Significance of Fibrinogen and Platelet to Pre-Albumin Ratio in Predicting the Prognosis of Advanced Gastric Cancer

OBJECTIVE

The aim of this study was to investigate the clinical significance of Fibrinogen and Platelet to Pre-albumin Ratio(FPAR) in predicting the prognosis of patients with advanced gastric cancer(AGC) and to construct a predictive model.

METHODS

We collected clinical data from 489 postoperative patients with AGC. FPAR was divided into high and low groups according to the receiver operating characteristic (ROC) curve. The value of FPAR in predicting the prognosis of progressive gastric cancer was analysed using univariate and multivariable Cox regression analysis and its relationship with clinicopathological features. Finally, the Overall Survival(OS) and recurrence-free survival(RFS) prediction models were constructed and validated using FPAR.

RESULTS

Univariate and multifactorial cox regression analysis showed that grade (P<0.001), TNM-stage (P<0.001), chemotherapy (P<0.001), and FPAR (OR=3.054,95% CI:2.088-4.467, P<0.001) were independent risk factors for OS; grade (P=0.021), N-stage (P=0.024), TNM-stage (P=0.033), and FPAR (OR=2.215,95% CI:1.634-3.003, P<0.001) were independent risk factors for RFS. Subgroup analysis showed that the FPAR-low group had higher OS and RFS than the FPAR-high group, regardless of the patient's TNM stage (p<0.05). However, OS was instead higher in the the stage III-FPAR-low group than in the the stage II-FPAR-high group (p<0.05), while RFS was not significantly different. Predictive models incorporating FPAR had better predictive performance than those without FPAR, showing wide range of net benefit and AUC. After correction, the 2-year AUC, 3-year AUC and C-index of the OS model were 0.737, 0.756, and 0.746; the 2-year AUC, 3-year AUC, and C-index of the RFS model were 0.738, 0.758, and 0.711.

CONCLUSION

FPAR levels were associated with prognosis in patients with AGC and could independently predict RFS and OS.

Polymorphisms of GSTA1 contribute to elevated cancer risk: evidence from 15 studies

PURPOSE

Glutathione S-transferases (GSTs) are involved in the detoxification of carcinogens, and may be linked to carcinogenesis. As a vital component of GSTs, GSTA1 plays an important role in carcinogenesis. However, the studies about the effect of GSTA1 polymorphisms on cancer risk are limited and the conclusions are contradictory. This meta-analysis aimed to evaluate the association between GSTA1 polymorphisms (-567T>G, (69C>T and -52G>A) and cancer risk.

METHODS

A literature search of PubMed and Web of Science databases was conducted from their inception through December 2013. Crude odds ratios (ORs) with 95% confidence intervals (CIs) were calculated to assess the association of GSTA1 polymorphisms and cancer risk.

RESULTS

A total of 15 studies were enrolled, and the results indicated that GSTA1 BB genotype was associated with elevated cancer risk, especially in colorectal cancer. Further stratifications showed that GSTA1 BB genotype was associated with increased cancer risk in Caucasian populations and in the study with population-based controls.

CONCLUSIONS

This meta-analysis suggested that GSTA1 BB genotype was a risk factor for colorectal cancer, especially in Caucasian populations.

A Novel Prognostic Score Based on ZG16 for Predicting CRC Survival

BACKGROUND

Colorectal cancer (CRC) is one of the lethal malignant tumors worldwide. However, the underlying mechanism of CRC and its biomarkers remain unclear. The aim of this study was to identify the key genes associated with CRC and to further explore their prognostic significance.

METHODS

Four expression profile datasets (GSE41657, GSE74602, GSE113513, and GSE40967) downloaded from Gene Expression Omnibus (GEO) and one RNAseq dataset of CRC from The Cancer Genome Atlas (TCGA) database were included in our study. The Cox model was utilized for univariate or multivariate survival analysis. GEPIA and HAP database were adopted for verification of DEGs (ZG16). The decision curve analysis (DCA) and time-dependent ROC were chosen for evaluating the prognostic effectiveness of biomarkers.

RESULTS

In total, 88 differentially expressed genes (DEGs) were identified, and the GO and KEGG enrichment analyses of DEGs were processed. After, the protein-protein interaction (PPI) network was constructed and 15 hub genes including ZG16 were identified. The differential expression of ZG16 between tumor and normal colorectal tissues were further verified in GEPIA and HAP database. Subsequent survival indicated that expression of ZG16 is negatively correlated with overall survival of OS and is an independent prognostic factor for CRC patients. Furthermore, the construction of a prognostic score containing ZG16, TNM stage and age exhibited superior effectiveness for predicting long-term survival of CRC patients. Additionally, our results were verified using the GSE40967 dataset, which indicated an improved performance of combined risk score based on ZG16 for predicting OS of CRC patients.

CONCLUSION

ZG16 is a potential parameter for predicting prognosis in CRC. Furthermore, a combination of ZG16, TNM stage, and age allows improved prognosis of CRC.

[Single nucleotide polymorphisms of the genes related with spermatogenesis impairment]

Male infertility is a complex disease affecting the reproduction of childbearing couples, for which genetic polymorphism of spermatogenesis genes is an important genetic pathogenic factor. Lots of genes closely related with spermatogenesis have been successfully identified through the gene knockout technology. Spermatogenesis impairment related genes include those associated with expression enzymes, receptors, cell apoptosis, transcription regulation, and so on. The genetic susceptibility of these genes, infection, and environment jointly contribute to non-obstructive azoospermia and oligozoospermia in males. The analysis of the single nucleotide polymorphism (SNP) of spermatogenesis impairment related genes helps explain the possible mechanism of pathogenesis at the molecular level, and provides theoretical evidence for the clinical diagnosis and treatment of male infertility. The article focuses on the correlation of the SNPs of spermatogenesis impairment related genes with azoospermia and oligozoospermia.