Combination of C-reactive Protein and Monocyte Count Is a Useful Prognostic Indicator for Patients With Colorectal Cancer

Using the combined C-reactive protein and controlling nutritional status index for elderly non-small cell lung cancer

Background

We found that conventional controlling nutritional status (CONUT) score can serve as a sensitive prognostic marker. Some prognostic indicators do include C-reactive protein (CRP), such as the CRP-lymphocyte ratio (CLR), CRP-albumin-lymphocyte index (CALLY), and CRP-albumin ratio (CAR). However, CRP has not been combined with the CONUT score, which we believe could result in a more sensitive marker. This study evaluated the combined use of the CONUT score and CRP to predict prognostic outcomes in elderly non-small cell lung cancer (NSCLC) patients undergoing surgical resection.

Methods

This study involved the retrospective analysis of 114 NSCLC patients who were over 80 years old and underwent curative resection. The summation of the CRP score and CONUT score was defined as the combined CRP and controlling nutritional status (C-CONUT) score. The capacity of CRP, CONUT score, and C-CONUT score to predict overall survival (OS) was evaluated via receiver operating characteristics (ROC) curves. Prognostic markers for OS were then identified using the Cox proportional hazards regression model.

Results

The ROC curves identified the C-CONUT score as the most reliable marker of prognosis (area under the curve =0.745). Forty-seven patients were included in the high C-CONUT (≥3) group, while 67 patients were included in the low C-CONUT (0 to 2) group. Worse prognosis rates were observed in the high C-CONUT group in comparison to the low C-CONUT group in terms of OS (five-year OS: 39.8% versus 87.4%, P<0.001). Lymphatic invasion (P<0.001), histological findings (P=0.02), and C-CONUT score [hazard ratio (HR): 5.07, 95% confidence interval (CI): 2.39-10.8, P<0.001] were identified as exclusive markers for OS prognosis in the multivariate analysis.

Conclusions

Our current findings indicate that C-CONUT score may serve as an innovative prognostic marker in the elderly NSCLC population.

Development and validation of a nomogram predictive model for colorectal adenoma with low-grade intraepithelial neoplasia using routine laboratory tests: A single-center case-control study in China

Background

Colorectal cancer (CRC) is the third most common cancer in the world and has a high mortality rate. Colorectal adenoma (CRA) is precancerous lesions of CRC. The purpose of the present study was to construct a nomogram predictive model for CRA with low-grade intraepithelial neoplasia (LGIN) in order to identify high-risk individuals, facilitating early diagnosis and treatment, and ultimately reducing the incidence of CRC.

Methods

We conducted a single-center case-control study. Based on the results of colonoscopy and pathology, 320 participants were divided into the CRA group and the control group, the demographic and laboratory test data were collected. A development cohort (n = 223) was used for identifying the risk factors for CRA with LGIN and to develop a predictive model, followed by an internal validation. An independent validation cohort (n = 97) was used for external validation. Receiver operating characteristic curve, calibration plot and decision curve analysis were used to evaluate discrimination ability, accuracy and clinical practicability of the model.

Results

Four predictors, namely sex, age, albumin and monocyte count, were included in the predictive model. In the development cohort, internal validation and external validation cohort, the area under the curve (AUC) of this risk predictive model were 0.946 (95%CI: 0.919-0.973), 0.909 (95 % CI: 0.869-0.940) and 0.928 (95%CI: 0.876-0.980), respectively, which demonstrated the model had a good discrimination ability. The calibration plots showed a good agreement and the decision curve analysis (DCA) suggested the predictive model had a high clinical net benefit.

Conclusion

The nomogram model exhibited good performance in predicting CRA with LGIN, which can aid in the early detection of high-risk patients, improve early treatment, and ultimately reduce the incidence of CRC.

Application of apoptosis-related genes in a multiomics-related prognostic model study of gastric cancer

Gastric cancer (GC) is one of the most common tumors in the world, and apoptosis is closely associated with GC. A number of therapeutic methods have been implemented to increase the survival in GC patients, but the outcomes remain unsatisfactory. Apoptosis is a highly conserved form of cell death, but aberrant regulation of the process also leads to a variety of major human diseases. As variations of apoptotic genes may increase susceptibility to gastric cancer. Thus, it is critical to identify novel and potent tools to predict the overall survival (OS) and treatment efficacy of GC. The expression profiles and clinical characteristics of TCGA-STAD and GSE15459 cohorts were downloaded from TCGA and GEO. Apoptotic genes were extracted from the GeneCards database. Apoptosis risk scores were constructed by combining Cox regression and LASSO regression. The GSE15459 and TCGA internal validation sets were used for external validation. Moreover, we explored the relationship between the apoptosis risk score and clinical characteristics, drug sensitivity, tumor microenvironment (TME) and tumor mutational burden (TMB). Finally, we used GSVA to further explore the signaling pathways associated with apoptosis risk. By performing TCGA-STAD differential analysis, we obtained 839 differentially expressed genes, which were then analyzed by Cox regressions and LASSO regression to establish 23 genes associated with apoptosis risk scores. We used the test validation cohort from TCGA-STAD and the GSE15459 dataset for external validation. The AUC values of the ROC curve for 2-, 3-, and 5-years survival were 0.7, 0.71, and 0.71 in the internal validation cohort from TCGA-STAD and 0.77, 0.74, and 0.75 in the GSE15459 dataset, respectively. We constructed a nomogram by combining the apoptosis risk signature and some clinical characteristics from TCGA-STAD. Analysis of apoptosis risk scores and clinical characteristics demonstrated notable differences in apoptosis risk scores between survival status, sex, grade, stage, and T stage. Finally, the apoptosis risk score was correlated with TME characteristics, drug sensitivity, TMB, and TIDE scores.

Prognostic significance of the preoperative lymphocyte to C-reactive protein ratio in patients with stage III colorectal cancer

BACKGROUND

Stage III colorectal cancer (CRC), which accounts for approximately one third of all CRC cases, is associated with worsened prognosis. The aim of this study was to compare the preoperatively measured systemic inflammatory markers and to define the most significant marker in terms of its prognostic value in stage III CRC.

METHODS

Surgically treated stage III CRC patients were included. Demographics, preoperatively measured Glasgow prognostic score (GPS), neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), lymphocyte/C-reactive protein ratio (LCR) and C-reactive protein/albumin ratio (CAR) values, clinicopathological features, surgical, oncological and survival outcomes were recorded and statistically analysed.

RESULTS

The study group of 102 patients consisted of 65 (63.7%) men and 37 (36.3%) women with a median age of 64 (range: 26-89). The mean follow-up period was 42.8 ± 30.5 (range: 6-107) months. Overall survival (OS) and disease-free survival (DFS) rates were 71.6%, and 67.7%, respectively. Elevated CRP, GPS 2, LCR ≤ 0.530, CAR ≥ 0.080, higher numbers of metastatic lymph nodes and N2b nodal status were detected to impair DFS (P = 0.001, P = 0.015, P = 0.001, P = 0.001, P = 0.001 and P = 0.043, respectively). Variables including GPS 2, PLR≥190.83, CAR≥0.045, LCR≤0.684, surgical site infection and longer hospital stay decreased OS (P = 0.004, P = 0.002, P = 0.005, P = 0.001, P = 0.001 and P = 0.001, respectively). According to multivariate analysis; PLR ≥ 190.83 was associated with three times [HR: 2.892 (95% CI: 1.100-7.602), P = 0.031], and LCR ≤ 0.684 was associated with four times [HR: 3.919 (95% CI: 1.130-13.592), P = 0.031] greater risk of cancer-related mortality.

CONCLUSION

As an independent prognostic factor, LCR had the highest impact on predicting survival after curative resection for stage III CRC.

Association Between Peripheral Blood Monocyte Count and Mucosal Healing in Japanese Patients With Ulcerative Colitis

INTRODUCTION

Monocytes play an important role in innate immunity. Some epidemiological evidence indicates an association between peripheral blood monocytes and ulcerative colitis (UC). The association between peripheral blood monocytes and mucosal healing (MH), however, remains unclear. We evaluated this issue in patients with UC.

METHODS

Study subjects consisted of 272 Japanese patients with UC. Monocyte counts were taken in the morning after overnight fasting. Monocyte count was divided into tertiles based on the distribution of values among all study subjects. Information on clinical remission was obtained from medical records. MH was assessed using the Mayo endoscopic subscore.

RESULTS

The mean monocyte count was 360.1 ± 155.3/mm3. Rates of clinical remission, MH, and complete MH were 61.0%, 66.2%, and 27.9%, respectively. High monocyte count was significantly inversely associated with clinical remission, MH, and complete MH (adjusted odds ratio [OR] 0.45 [95% confidence interval [CI]: 0.23-0.89], OR 0.45 [95% CI: 0.23-0.89], and OR 0.48 [95% CI: 0.23-0.97], respectively). Patients were also classified according to C-reactive protein (CRP) levels; in the low CRP group (<0.1 mg/dL), high monocyte count was independently inversely associated with complete MH but not with clinical remission or MH (OR 0.33 [95% CI: 0.10-0.92], P for trend = 0.027). In the high CRP group, there was no association between monocyte count and clinical outcomes.

DISCUSSION

Our findings suggest that peripheral blood monocyte count can be used as a serum supplemental marker for MH in UC patients with low CRP levels.

Elevated peripheral absolute monocyte count related to clinicopathological features and poor prognosis in solid tumors: Systematic review, meta-analysis, and meta-regression

BACKGROUND

Absolute monocyte count (AMC) is often used to be assessed in cancer follow-up, which has regained interest as a potential prognostic indicator in many solid tumors, though not consistently or comprehensively. In the present study, we set out to perform a comprehensive meta-analysis of all available data regarding the prognostic significance of AMC in solid tumors. We also evaluated the association between AMC and clinical features in solid tumors.

METHODS

A hazard ratio (HR) and corresponding 95% confidence interval (CI) or a p value (p) from eligible studies were extracted and subsequently pooled analyzed. Subgroup analyses and meta-regression analyses were conducted according to the confounders of included studies. In addition, the relationships between AMC and clinical characteristics were also explored in the meta-analysis.

RESULTS

Overall, ninety-three articles comprising 104 studies with 32229 patients were finally included. The results showed that elevated AMC was associated with worse overall survival (OS) (HR = 1.615; 95% CI: 1.475-1.768; p < 0.001), disease-free survival (DFS) (HR:1.488; 95% CI: 1.357-1.633; p < 0.001), progressive-free survival (PFS) (HR: 1.533; 95% CI: 1.342-1.751; p < 0.001) and cancer-specific survival (CSS) (HR: 1.585; 95% CI: 1.253-2.006; p < 0.001) in non-hematological tumors. Subgroup analyses according to each confounder further proved the consistent prognostic value of AMC in solid tumor outcomes. Moreover, elevated AMC was more likely to be observed in male group and patients with smoking history, and associated with longer tumor length and advanced T stage.

CONCLUSION

In short, the meta-analysis found that elevated AMC might indicate poor long-term outcomes in non-hematologic cancers, thus AMC may be a valuable marker in the prognosis for patients with solid tumors.