Prognostic role of aspartate aminotransferase-lymphocyte ratio index in patients with metastatic colorectal cancer: results from the randomized ITACa trial

A predictive model for colorectal cancer complicated with intestinal obstruction based on specific inflammation score

PURPOSE

Inflammatory factors play an important role in the onset and progression of colorectal cancer (CRC). This study aimed to develop and validate a novel scoring system that utilizes specific inflammatory factor indicators to predict intestinal obstruction in CRC patients.

METHODS

This study conducted a retrospective analysis of 1,470 CRC patients who underwent surgical resection between January 2013 and July 2018. These patients were randomly allocated to the training group (n = 1060) and the validation group (n = 410). Univariate and multivariate logistic regression analyses were performed to identify independent predictive factors for intestinal obstruction. The CRC peculiar inflammation score (CPIS), comprising lymphocyte-to-monocyte ratio (LMR), prognostic nutrition index (PNI), and alanine transaminase-to-lymphocyte ratio index (ALRI) scores, was significantly associated with the occurrence of intestinal obstruction. A nomogram combining CPIS with other clinical features was developed to predict this occurrence. Model accuracy was assessed by determining the area under the receiver operating characteristic (ROC) curve (AUC).

RESULTS

The CPIS generated by multi-factor logistic regression was as follows: - 1.576 × LMR - 0.067 × PNI + 0.018 × ALRI. Using CPIS cutoff values of 50% (- 7.188) and 85% (- 6.144), three predictive groups were established. Patients with a high CPIS had a significantly higher risk of intestinal obstruction than those with a low CPIS (odds ratio [OR]: 10.0, confidence interval [CI]: 5.85-17.08, P < 0.001). The predictive nomogram demonstrated good calibration and discrimination abilities. The AUC of the ROC curve for the obstruction nomogram was 0.813 (95% CI: 0.777-0.850) in the training set and 0.806 (95% CI: 0.752-0.860) in the validation set. The calibration curve exhibited neither bias nor high credibility. Decision curve analysis indicated the utility of this predictive model.

CONCLUSION

CRC-associated intestinal obstruction is closely linked to inflammatory markers in patients. CPIS is a CRC-specific inflammatory predictive score based on a combination of inflammatory-related indicators. A high CPIS serves as a strong indicator of intestinal obstruction. Its integration with other clinical factors and preoperative inflammatory-specific indicators significantly enhances the diagnosis and treatment of CRC patients with intestinal obstruction.

Prognostic significance of the aspartate aminotransferase to lymphocyte ratio index in patients with acute myocardial infarction

BACKGROUND

This study aimed to investigate the clinical value and prognostic significance of the alanine aspartate aminotransferase-to-lymphocyte ratio index (ALRI) in patients diagnosed with acute myocardial infarction (AMI).

METHODS

Clinical indices of patients with AMI were collected from the Medical Information Mark for Intensive Care (MIMIC) III database and Wuhan Sixth Hospital. Cox regression analysis was used to explore whether ALRI was a risk factor for a worse prognosis in patients with AMI, and a nomogram including ALRI was created to estimate its predictive performance for 28-day mortality.

RESULTS

Based on clinical data from the MIMIC-III database, we found that a high ALRI was closely associated with a variety of clinical parameters. It was an important risk factor for 28-day survival in patients with AMI (HR = 5.816). ALRI had a high predictive power for worse 28-day survival in patients with AMI (area under the curve [AUC] = 0.754). Additionally, we used clinical data from the Wuhan Sixth Hospital to verify the predictive power of ALRI in patients with AMI, and a high level of ALRI remained an independent risk factor for worse survival in patients with AMI (HR = 4.969). The AMI nomogram, including ALRI, displayed a good predictive performance for 28-day mortality in both the MIMIC-III (AUC = 0.826) and Wuhan Sixth Hospital cohorts (AUC = 0.795).

CONCLUSION

The ALRI is closely related to the survival outcomes of patients with newly diagnosed AMI, indicating that it could serve as a novel biomarker for risk stratification such patients.

Inflammatory indices as prognostic markers in metastatic colorectal cancer patients treated with chemotherapy plus Bevacizumab

Background

Validated predictors of sensitivity or resistance to Bevacizumab (Bev) are not available, and Inflammatory Indexes (IIs) has been reported to be useful prognostic factors in various malignant solid tumours, including metastatic colorectal cancer (mCRC).

Objectives

To explore the prognostic value of IIs in mCRC patients treated with first-line chemotherapy plus Bev.

Design

One hundred and eighty-two patients diagnosed with mCRC and treated with first line chemotherapy plus Bev were considered for this prospective non-pharmacological study. Neutrophil, lymphocyte, platelet, aspartate transaminase (AST) and lactate dehydrogenase (LDH) tests were carried out at baseline and before each treatment cycle, according to clinical practice.

Methods

Pre-treatment Systemic Immune-inflammation Index (SII), Colon Inflammatory Index (CII) and Aspartate aminotransferase-Lymphocyte Ratio Index (ALRI) were evaluated to assess a correlation with progression-free survival (PFS) and overall survival (OS).

Results

In the overall population, PFS and OS were lower in patients with high SII (HR 1.64, p = 0.006 and HR 1.75, p = 0.004, respectively) and high ALRI (HR 2.13, p = 0.001 and HR 1.76, p = 0.02, respectively), but no difference was detected according to CII value. The multivariate analysis confirmed both SII and ALRI as independent prognostic factors for PFS (HR 1.64 and 2.82, respectively) and OS (HR 1.65 and 2.12, respectively).

Conclusion

Our results demonstrate and confirm that IIs, and in particular SII and ALRI, are easy to measure prognostic markers for patient candidates to first line chemotherapy plus Bev for mCRC.

Development and validation of prognostic nomograms based on De Ritis ratio and clinicopathological features for patients with stage II/III colorectal cancer

BACKGROUND

Metabolic derangements and systemic inflammation are related to the progression of colorectal cancer (CRC) and the prognoses of these patients. The survival of stage II and III CRC patients existed considerable heterogeneity highlighting the urgent need for new prediction models. This study aimed to develop and validate prognostic nomograms based on preoperative serum liver enzyme as well as evaluate the clinical utility.

METHODS

A total of 4014 stage II/III primary CRC patients pathologically diagnosed from January 2007 to December 2013 were included in this study. These patients were randomly divided into a training set (n = 2409) and a testing set (n = 1605). Univariate and multivariate Cox analyses were used to select the independent factors for predicting overall survival (OS) and disease-free survival (DFS) of stage II/III CRC patients. Next, nomograms were constructed and validated to predict the OS and DFS of individual CRC patients. The clinical utility of nomograms, tumor-node-metastasis (TNM), and the American Joint Committee on Cancer (AJCC) system was evaluated using time-dependent ROC and decision curve analyses.

RESULTS

Among seven preoperative serum liver enzyme markers, aspartate aminotransferase-to-alanine aminotransferase ratio (De Ritis ratio) was identified as an independent factor for predicting both OS and DFS of stage II/III CRC patients. The nomograms incorporated De Ritis ratio and significant clinicopathological features achieved good accuracy in terms of OS and DFS prediction, with C-index of 0.715 and 0.692, respectively. The calibration curve showed good agreement between prediction by nomogram and actual observation. The results of time-dependent ROC and decision curve analyses suggested that the nomograms had improved discrimination and greater clinical benefits compared with TNM and AJCC staging.

CONCLUSIONS

De Ritis ratio was an independent predictor in predicting both the OS and DFS of patients with stage II/III CRC. Nomograms based on De Ritis ratio and clinicopathological features showed better clinical utility, which is expected to help clinicians develop appropriate individual treatment strategies for patients with stage II /III CRC.

Evaluation of Inflammatory Scores in Metastatic Colorectal Cancer Patients Undergoing Transarterial Radioembolization

PURPOSE

To evaluate the correlation of neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), aspartate aminotransferase-to-lymphocyte ratio (ALRI), systemic inflammation index (SII), and lymphocyte count to oncologic outcomes in metastatic colorectal cancer (mCRC) patients undergoing transarterial radioembolization (TARE).

MATERIALS AND METHODS

All patients undergoing TARE for mCRC were retrospectively reviewed at a single academic institution. A receiver operating characteristics (ROC) curve analysis was performed using a landmark survival point of 12 months, with an area under the curve (AUC) calculated. A cutoff point was determined by Youden's index and used to separate patients for OS and PFS analysis. Cox proportional-hazards models which included pertinent clinical factors were also created to evaluate PFS and OS.

RESULTS

In total, 41 patients who underwent 66 TARE treatments were included. A correlation was seen between post-treatment ALRI < 45 (HR: 0.38 (95%CI: 0.17-0.86), p = 0.02) and PFS. Patients with a pretreatment ALRI score < 20 had a significantly longer OS (HR: 0.49 (95%CI: 0.19-0.88), p = 0.02) as did those with a post-treatment lymphocyte count > 1.1 10⁹/L (HR: 0.27 (95%CI: 0.11-0.68), p = 0.005). In multivariate analysis of PFS, post-treatment lymphocyte count (HR: 8.46 (95%CI: 1.14-62.89), p = 0.044) was the only significantly associated inflammatory marker and presence of extrahepatic disease (HR:8.46 (95%CI: 1.14-62.89, p = 0.044) also correlated. Multivariate analysis of OS showed that pretreatment PLR (HR:1.01 (95%CI:1.-1.03), p = 0.02) and post-treatment NLR (HR:0.33 (95%CI:0.14-0.76), p = 0.009), PLR (HR:0.98 (95%CI:0.97-1), p = 0.046), SII (HR:1.04 (95%CI:1.01-1.08), p = 0.014), and lymphocyte count (HR:0.07 (95%CI:0.01-0.16), p = 0.003) were significantly associated.

CONCLUSION

Inflammatory markers may be associated with OS and PFS in mCRC patients undergoing TARE.

Predictive values of biochemical markers as early indicators for severe COVID-19 cases in admission

Aim: COVID-19 is a pandemic that causes high morbidity and mortality, especially in severe patients. In this study, we aimed to search and explain the relationship between biochemical markers, which are more common, easily available and applicable to diagnose and to stage the disease. Materials & methods: In this study, 609 patients were evaluated retrospectively. 11 biochemical parameters were included in analysis to explain the relationship with severity of disease. Results: Nearly, all the parameters that have been evaluated in this study were statistically valuable as a predictive parameter for severe disease. Areas under the curve of blood urea nitrogen (BUN)/albumin ratio (BAR), CALL score and lymphocyte/C-reactive protein ratio were 0.795, 0.778 and 0.770. The BAR and neutrophil/albumin ratios provide important prognostic information for decision-making in severe patients with COVID-19. Conclusion: High BAR and neutrophil/albumin ratios may be a better predictor of severity COVID-19 than other routinely used parameters in admission.

Prognostic role of a new index (multi inflammatory index) in patients with metastatic colorectal cancer: results from the randomized ITACa trial

Aims

We created a new index (Multi Inflammatory Index, MII) composed of an inflammatory index [neutrophil-to lymphocyte-ratio (NLR): MII-1; platelet-to-lymphocyte ratio (PLR): MII-2; or systemic immune-inflammation index (SII): MII-3] and C-reactive protein (CRP). Our aim was to evaluate the prognostic and/or predictive capacity of the MII in the randomized ITACa (Italian Trial in Advanced Colorectal Cancer) study on patients with metastatic colorectal cancer undergoing first-line chemotherapy.

Methods

Between November 2007 and March 2012, baseline NLR, PLR; SII and CRP were available for 131 patients, 66 receiving chemotherapy plus bevacizumab and 65 receiving chemotherapy alone.

Results

Patients with low (<25) MII-1 levels had a better outcome than those with high (⩾25) levels: median progression-free survival (PFS) was 12.4 versus 8.9 months [hazard ratio (HR) = 1.74, 95% confidence interval (CI) 1.21-2.51, p = 0.003] and median overall survival (OS) was 30.9 months versus 15.0 months (HR = 2.05, 95% CI 1.40-3.02, p = 0.0002), respectively. Similar results were obtained for patients with low (<1424) MII-2 levels compared with those with high (⩾1424) levels: median PFS was 12.6 versus 8.9 months (HR = 1.95, 95% CI 1.35-2.82, p = 0.0004) and median OS was 32.4 versus 14.6 months, respectively (HR = 2.42, 95% CI 1.64-3.57, p < 0.0001). Patients with low (<6068) MII-3 levels had a longer median PFS and OS than those with high (⩾6068) levels: 12.6 versus 8.9 months (HR = 1.91, 95% CI 1.33-2.76, p = 0.005) and 30.9 versus15.0 months (HR = 2.10, 95% CI 1.43-3.09, p = 0.0002), respectively. Following adjustment for clinical covariates, multivariate analysis confirmed all MII indexes as independent prognostic factors for predicting PFS and OS.

Conclusion

All MII indexes appear to be useful as prognostic markers.

Trial registration

ClinicalTrials.gov identifier: NCT01878422 (registration date: 07/06/2013) https://clinicaltrials.gov/ct2/show/NCT01878422.

Prognostic role of a new inflammatory index with neutrophil-to-lymphocyte ratio and lactate dehydrogenase (CII: Colon Inflammatory Index) in patients with metastatic colorectal cancer: results from the randomized Italian Trial in Advanced Colorectal Cancer (ITACa) study

Aim: The aim of this study was to investigate the role of a new inflammatory index (Colon Inflammatory Index [CII]) as a predictor of prognosis and treatment efficacy in patients with metastatic colorectal cancer (mCRC) enrolled in the prospective multicenter randomized ITACa (Italian Trial in Advanced Colorectal Cancer) trial to receive first-line chemotherapy (CT)+ bevacizumab or CT alone.

Patients and methods: Between November 14, 2007 and March 6, 2012, 276 patients diagnosed with CRC were available for baseline neutrophil-to-lymphocyte ratio (NLR) and lactate dehydrogenase (LDH). We divided the population into three groups on basis of the CII index.

Results: At baseline in all populations, median PFS and OS was predictive of clinical outcome (p<0.0001). Following adjustment for clinical covariates, multivariate analysis confirmed CII index as an independent prognostic factor. The CII index was also predictive when we evaluated the two distinct arms with (p=0.0009) or without bevacizumab (p=0.0001). When we divided right side versus left side for treatment regimen (CT plus bevacizumab versus only bevacizumab), we found a benefit of bevacizumab versus only CT in the right side in patients treated with bevacizumab and not in patients treated with only chemotherapy. Conversely, we found no difference the left side, but we found a difference in the poor group of 4 months in favor to only chemotherapy.

Conclusion: Our results indicate that the CII index is a good prognostic marker for mCRC patients in first line treatment with CT with or without bevacizumab.

Trial registration: NCT01878422 ClinicalTrials.gov; date of registration: June 7, 2013.

MicroRNA-940 restricts the expression of metastasis-associated gene MACC1 and enhances the antitumor effect of Anlotinib on colorectal cancer

Background: Metastasis-associated with colon cancer-1 (MACC1) is an important regulator that promotes colorectal cancer (CRC) cells’ proliferation and distant metastasis. Therefore, MACC1 is considered as a promising therapeutic target of CRC. This work aimed to identify the microRNA (miR) targeted to MACC1, and to study the potential of using the particular miR in enhancing the antitumor effect of chemotherapy.

Materials and methods: miR prediction was performed in the miR database. The effect of miR-940 on MACC1’s expression was examined by Western blot, and the effect of miR-940 on the expression of genes related to the epithelial–mesenchymal transition (EMT) was identified by quantitative real-time polymerase chain reaction experiments. In vivo growth of CRC cells were analyzed in the nude mice subcutaneous tumor model and CRC liver metastasis model.

Results: By using the database, miR-940 was identified to target to the 3ʹUTR of MACC1’s mRNA. Experimentally, transfection of miR-940 decreased the expression of MACC1 in CRC cells and inhibited the EMT process of the transfected cells. MiR-940 also enhanced the inhibitory effect of Anlotinib on CRC cells’ in vivo growth and invasion. Correspondingly, ectopic expression of MACC1 mutant, which does not contain miR-940 binding site, blocked the antitumor effect of miR-940 on CRC cells.

Conclusion: MiR-940 restricts the proliferation and invasion of CRC cells by targeting to MACC1’s mRNA, and enhances the antitumor effect of Anlotinib on CRC tumors.