The lymphocyte-monocyte ratio predicts tumor response and survival in patients with locally advanced esophageal cancer who received definitive chemoradiotherapy

A systematic review of circulating predictive and prognostic biomarkers to aid the personalised use of radiotherapy in the radical treatment of patients with oesophageal cancer

BACKGROUND

The availability of circulating biomarkers that are predictive of treatment response or prognostic of overall outcome could enable the personalised and adaptive use of radiotherapy (RT) in patients with oesophageal adenocarcinoma (OAC) and squamous cell carcinoma (OSCC).

METHODS

A systematic review was carried out following Preferred Reporting Items for Systematic Reviews guidance. Medline, EMBASE, PubMed, Cochrane Library, CINAHL, Scopus and the Web of Science databases were searched for studies published between January 2005-February 2023 relating to circulating biomarkers evaluated in the context of neoadjuvant or definitive RT delivered for OAC/OSCC. Study quality was assessed using predefined criteria.

RESULTS

A total of 3012 studies were screened and 57 subsequently included, across which 61 biomarkers were reported. A majority (43/57,75.4%) of studies were of Asian origin and retrospective (40/57, 70.2%), with most (52/57, 91.2%) biomarkers reported in the context of patients with OSCC. There was marked inter-study heterogeneity in patient populations, treatment characteristics, biomarker measurement and the cut points used to define biomarker positivity. Nevertheless, there is evidence for the prognostic and predictive value of circulating tumour DNA and numerous miRNAs in OAC and OSCC, as well as for the prognostic and predictive value of circulating levels of CYFRA21.1 in OSCC.

CONCLUSIONS

There is consistent evidence for the potential predictive and prognostic value of a small number of biomarkers in OSCC and OAC, though these data are insufficient for translation to current clinical practice. Well-designed prospective studies are now required to validate their role in stratified and personalised RT treatment approaches.

Radiation Therapy and Myeloid-Derived Suppressor Cells: Breaking Down Their Cancerous Partnership

Radiation therapy (RT) has been a primary treatment modality in cancer for decades. Increasing evidence suggests that RT can induce an immunosuppressive shift via upregulation of cells such as tumor-associated macrophages (TAMs) and myeloid-derived suppressor cells (MDSCs). MDSCs inhibit antitumor immunity through potent immunosuppressive mechanisms and have the potential to be crucial tools for cancer prognosis and treatment. MDSCs interact with many different pathways, desensitizing tumor tissue and interacting with tumor cells to promote therapeutic resistance. Vascular damage induced by RT triggers an inflammatory signaling cascade and potentiates hypoxia in the tumor microenvironment (TME). RT can also drastically modify cytokine and chemokine signaling in the TME to promote the accumulation of MDSCs. RT activation of the cGAS-STING cytosolic DNA sensing pathway recruits MDSCs through a CCR2-mediated mechanism, inhibiting the production of type 1 interferons and hampering antitumor activity and immune surveillance in the TME. The upregulation of hypoxia-inducible factor-1 and vascular endothelial growth factor mobilizes MDSCs to the TME. After recruitment, MDSCs promote immunosuppression by releasing reactive oxygen species and upregulating nitric oxide production through inducible nitric oxide synthase expression to inhibit cytotoxic activity. Overexpression of arginase-1 on subsets of MDSCs degrades L-arginine and downregulates CD3ζ, inhibiting T-cell receptor reactivity. This review explains how radiation promotes tumor resistance through activation of immunosuppressive MDSCs in the TME and discusses current research targeting MDSCs, which could serve as a promising clinical treatment strategy in the future.

PD-1 inhibitor combined with chemotherapy for first-line treatment of esophageal squamous cell carcinoma patients with distant metastasis: a real-world retrospective study

Background

The aim of this study was to evaluate whether the efficacy and safety of PD-1 inhibitors combined with chemotherapy in the treatment of patients with esophageal squamous cell carcinoma (ESCC) with distant metastasis in the real world are as effective and safe as in clinical trials.

Patients and methods

From July 2019 to July 2023, a total of 422 patients with distant metastasis of ESCC were included and divided into the PD-1 inhibitor combined chemotherapy group (PC group) and the chemotherapy alone group (C group) according to the treatment regimen. There were 278 patients in the PC group and 144 patients in the C group. The primary endpoint of this study was progression-free survival (PFS), while secondary endpoints included objective response rate (ORR), disease control rate (DCR), overall survival (OS), and safety.

Results

The objective response rate (ORR) and disease control rate (DCR) of the PC group were 44.60% (124/278) and 91.00% (253/278), respectively, which were 18.9% and 3.5% higher than those of the C group. The median PFS and median OS of the PC group were significantly better than those of the C group (median PFS: 6.5 vs. 5.5 months, P < 0.001; median OS: 16.6 vs. 13.9 months, P = 0.002). Further univariate and multivariate Cox analysis showed that the Eastern Cooperative Oncology Group performance status (ECOG PS) score and the number of metastatic sites were potential predictors of PFS in PC patients. The combination of PD-1 inhibitors with cisplatin and paclitaxel (TP) was more beneficial for patients with PFS compared to the combination of cisplatin and fluorouracil (PF). Furthermore, the presence of bone metastasis, body mass index (BMI), and lymphocyte-to-monocyte ratio (LWR) before treatment may be potential predictive factors for patient OS. The adverse reactions that occurred in the PC group can be tolerated or alleviated after both prevention and active treatment.

Conclusions

The combination of PD-1 inhibitors and chemotherapy as first-line treatment for ESCC patients with distant metastasis still has good efficacy and safety compared to clinical trials in the real world.

A novel CT-based radiomics model for predicting response and prognosis of chemoradiotherapy in esophageal squamous cell carcinoma

No clinically relevant biomarker has been identified for predicting the response of esophageal squamous cell carcinoma (ESCC) to chemoradiotherapy (CRT). Herein, we established a CT-based radiomics model with artificial intelligence (AI) to predict the response and prognosis of CRT in ESCC. A total of 44 ESCC patients (stage I-IV) were enrolled in this study; training (n = 27) and validation (n = 17) cohorts. First, we extracted a total of 476 radiomics features from three-dimensional CT images of cancer lesions in training cohort, selected 110 features associated with the CRT response by ROC analysis (AUC ≥ 0.7) and identified 12 independent features, excluding correlated features by Pearson's correlation analysis (r ≥ 0.7). Based on the 12 features, we constructed 5 prediction models of different machine learning algorithms (Random Forest (RF), Ridge Regression, Naive Bayes, Support Vector Machine, and Artificial Neural Network models). Among those, the RF model showed the highest AUC in the training cohort (0.99 [95%CI 0.86-1.00]) as well as in the validation cohort (0.92 [95%CI 0.71-0.99]) to predict the CRT response. Additionally, Kaplan-Meyer analysis of the validation cohort and all the patient data showed significantly longer progression-free and overall survival in the high-prediction score group compared with the low-prediction score group in the RF model. Univariate and multivariate analyses revealed that the radiomics prediction score and lymph node metastasis were independent prognostic biomarkers for CRT of ESCC. In conclusion, we have developed a CT-based radiomics model using AI, which may have the potential to predict the CRT response as well as the prognosis for ESCC patients with non-invasiveness and cost-effectiveness.

The pretherapeutic systemic inflammation score is a prognostic predictor for elderly patients with oesophageal cancer: a case control study

BACKGROUND

The systemic inflammation score (SIS), based on serum albumin (Alb) and lymphocyte-to-monocyte ratio (LMR), is a novel prognostic tool for some tumours. Studies indicate that the SIS can be used as a postoperative prognostic marker. However, its predictive value in elderly oesophageal squamous cell carcinoma (ESCC) patients treated with radiotherapy is unclear.

METHODS

In total, 166 elderly ESCC patients who received radiotherapy with or without chemotherapy were included. Based on different combinations of Alb and LMR levels, the SIS was divided into 3 groups, SIS = 0 (n = 79), SIS = 1 (n = 71) and SIS = 2 (n = 16). The Kaplan-Meier method was used for survival analysis. Univariate and multivariate analyses were performed to assess prognosis. Time-dependent receiver operating characteristic (t-ROC) curves were used to compare the prognostic accuracy of the SIS with that of Alb, LMR, neutrophil-to lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic immune-inflammatory index (SII).

RESULTS

Decreased Alb and LMR were both associated with shorter OS, whereas a lower SIS was significantly associated with better outcomes. The OS of SIS = 0, SIS = 1 and SIS = 2 was 28.0 ± 2.9, 16.0 ± 2.8 and 10.0 ± 7.0 months, respectively (p = 0.000). Similar results were also observed for PFS. Multivariate analysis of the model with SIS revealed that the SIS was a significant independent biomarker for predicting OS and PFS. The nomogram showed that the C-index was improved to 0.677 when the SIS factor was incorporated. Furthermore, the 3-year OS rates for patients in the SIS-high group (SIS = 1 and SIS = 2) undergoing concurrent radiotherapy with a single agent (CCRT-1) and concurrent radiotherapy with two agents (CCRT-2) were 42% and 15%, respectively (p = 0.039). The t-ROC curve showed that the SIS was more sensitive than other prognostic factors for predicting overall survival.

CONCLUSION

The SIS may be a useful prognostic marker in elderly patients with ESCC receiving radiotherapy alone or chemoradiotherapy. The SIS showed a better predictive ability for OS than the continuous variable Alb and could stratify patient prognosis in different therapeutic regimens. CCRT-1 may be the best treatment for SIS-high patients.

Clinical usefulness of the lymphocyte-to-monocyte ratio and aggregate index of systemic inflammation in patients with esophageal cancer: a retrospective cohort study

BACKGROUND

Multiple perioperative inflammatory markers are considered important factors affecting the long-term survival of esophageal cancer (EC) patients. Hematological parameters, whether single or combined, have high predictive value.

AIM

To investigate the inflammatory status of patients with preoperative EC using blood inflammatory markers, and to establish and validate competing risk nomogram prediction models for overall survival (OS) and progression-free survival (PFS) in EC patients.

METHODS

A total of 508 EC patients who received radical surgery (RS) treatment in The First Affiliated Hospital of Zhengzhou University from August 5, 2013, to May 1, 2019, were enrolled and randomly divided into a training cohort (356 cases) and a validation cohort (152 cases). We performed least absolute shrinkage and selection operator (LASSO)-univariate Cox- multivariate Cox regression analyses to establish nomogram models. The index of concordance (C-index), time-dependent receiver operating characteristic (ROC) curves, time-dependent area under curve (AUC) and calibration curves were used to evaluate the discrimination and calibration of the nomograms, and decision curve analysis (DCA) was used to evaluate the net benefit of the nomograms. The relative integrated discrimination improvement (IDI) and net reclassification improvement (NRI) were calculated to evaluate the improvement in predictive accuracy of our new model compared with the AJCC staging system and another traditional model. Finally, the relationship between systemic inflammatory response markers and prognostic survival was explored according to risk plot, time-dependent AUC, Kaplan-Meier and restricted cubic spline (RCS).

RESULTS

Based on the multivariate analysis for overall survival (OS) in the training cohort, nomograms with 10 variables, including the aggregate index of systemic inflammation (AISI) and lymphocyte-to-monocyte ratio (LMR), were established. Time-dependent ROC, time-dependent AUC, calibration curves, and DCA showed that the 1-, 3-, and 5 year OS and PFS probabilities predicted by the nomograms were consistent with the actual observations. The C-index, NRI, and IDI of the nomograms showed better performance than the AJCC staging system and another prediction model. Moreover, risk plot, time-dependent AUC, and Kaplan-Meier showed that higher AISI scores and lower LMR were associated with poorer prognosis, and there was a nonlinear relationship between them and survival risk.

CONCLUSION

AISI and LMR are easy to obtain, reproducible and minimally invasive prognostic tools that can be used as markers to guide the clinical treatment and prognosis of patients with EC.

Lymphocyte-to-Monocyte Ratio is Associated with the Poor Prognosis of Breast Cancer Patients Receiving Neoadjuvant Chemotherapy

Purpose

Systemic inflammatory cell ratio, neutrophil–lymphocyte ratio (NLR), platelet–lymphocyte ratio (PLR), and lymphocyte–monocyte ratio (LMR) are used as prognostic indicators for several types of tumors. The purpose of this study was to evaluate the predictive value of inflammatory markers for pathological response and prognosis in breast cancer patients receiving neoadjuvant chemotherapy (NAC).

Methods

In this study, we collected data of 203 breast cancer patients who underwent surgery after receiving standard neoadjuvant therapy. The effects of NLR, PLR, and LMR on the disease-free survival (DFS) of patients with breast cancer were analyzed by χ² test and Cox regression analyses.

Results

We found that 27 of the 203 patients (13.3%) had local or distant metastases. The peripheral blood NLR, PLR, and LMR areas under the curve (AUC) were 0.674 (0.555–0.793), 0.630 (0.508–0.753), and 0.773 (0.673–0.874), respectively. The optimal cutoff values were 3.0, 135, and 6.2, respectively. Univariate and multivariate analyses revealed that LMR was related to the pathological complete response (pCR) rates and breast cancer DFS (P < 0.05). Among all patients, those with low LMR, HER-2 positive, and lymph node status (N2–3) demonstrated poor DFS.

Conclusion

Our study thus demonstrated that LMR can act as a potential marker for predicting the efficacy and prognosis of patients with breast cancer.

Prognostic Value of Sarcopenia and Systemic Inflammation Markers in Patients Undergoing Definitive Radiotherapy for Esophageal Cancer

Objective

To determine the independent and combined prognostic value of sarcopenia and systemic inflammatory markers in esophageal cancer patients undergoing definitive radiotherapy.

Methods

Sarcopenia was diagnosed on the basis of the skeletal muscle index (SMI) as determined by the skeletal muscle area at the third lumbar (L3) region and body height. The optimal cutoff value of systemic inflammatory markers was determined by the receiver-operating curve (ROC). Logistic regression was used to analyze the correlation among different variables. Cox proportional hazards model was used to identify the factors significantly correlated to overall survival (OS). Based on the results of multivariate survival analysis, a nomogram was established to predict the survival rate. The accuracy of the nomogram was evaluated by the coordination index and the calibration curve.

Results

A total of 100 esophageal cancer patients were included, of which 77 exhibited sarcopenia. The lymphocyte–monocyte ratio (LMR) was significantly correlated to the risk of sarcopenia (OR = 0.637, 95% CI, 0.452–0.898, P = 0.010). In addition, sarcopenia (P = 0.002, HR = 3.991, 95% CI: 1.653–9.638) and LMR < 2.67 (P < 0.001, HR = 2.665, 95% CI: 1.563–4.543) were independent predictors of OS. Two nomograms with good predictive accuracy were established.

Conclusion

Sarcopenia and LMR can independently predict the survival of patients with esophageal cancer receiving definitive radiotherapy and have good combined prognostic value.

Prognostic Value of Pretreatment Lymphocyte-to-Monocyte Ratio in Lung Cancer: A Systematic Review and Meta-Analysis

BACKGROUND

The overall prognosis of lung cancer remains unfavorable and novel prognostic biomarkers of lung cancer are needed warranted. Accumulating evidence indicate that systemic inflammation plays a vital role in lung cancer. The lymphocyte-to-monocyte ratio (LMR) is biomarker that reflects the level of systemic inflammation.

OBJECTIVE

To perform a comprehensive meta-analysis exploring the correlation of pretreatment LMR with the overall survival (OS) and progression-free survival (PFS) of lung cancer patients.

METHODS

We conducted searches of the PubMed, Embase, Cochrane Library, and Web of Science databases to May 2020 to identify relevant studies and calculated combined hazard ratios (HRs) to evaluate the association between pretreatment LMR and survival time in patients with lung cancer.

RESULTS

A total of 23 studies comprising 8361 lung cancer patients were included. Among the patients, 5702 (68%) were males, 4548 were current smokers and 2212 were diagnosed with squamous carcinoma. The pooled analysis revealed that decreased pretreatment LMR was significantly correlated with reduced of PFS (HR = 1.49, 95% CI: 1.34-1.67, p < 0.01) and reduced OS (HR = 1.61, 95% CI: 1.45-1.79, p < 0.01) among lung cancer patients. Furthermore, in the subgroup analyses according to histologic type, a lower level of pretreatment LMR seemed to be unrelated to the poorer OS of small cell lung cancer (SCLC) patients (HR = 1.21, 95%CI: 0.87-1.67, P = 0.25).

CONCLUSIONS

Decreased pretreatment LMR in peripheral blood was associated with shorter OS and PFS in lung cancer patients, suggesting its potential prognostic value.

Predicting Prognosis and Adverse Events by Hematologic Markers in Patients with Locally Advanced Esophageal Squamous Cell Carcinoma Treated with Neoadjuvant Chemoradiotherapy

Purpose

Our purpose was to evaluate the association between hematologic markers and mortality and adverse events in patients with esophageal squamous cell carcinoma (ESCC) treated with neoadjuvant chemoradiotherapy (nCRT).

Patients and Methods

A total of 311 patients with ESCC treated with nCRT from 2012 to 2014 were enrolled retrospectively. The Kaplan–Meier method with a Log rank test was used to calculate five-year overall survival (OS). Receiver operating characteristic (ROC) curves were plotted to determine the cut-off values for hematologic markers. Multivariate analysis was performed using Cox regression analysis model. Model performance was evaluated by predicted nomogram, concordance index (C-index) and calibration curve.

Results

Median follow-up was 22 months. High pretreatment platelet to lymphocyte ratio (PLR, p = 0.047) and systemic immune-inflammation index (SII, p = 0.027) were significantly associated with pathologic complete response (pCR). In multivariate analysis, smoking history, Eastern Cooperative Oncology Group (ECOG) performance status, invasion depth, lymph node metastasis, PLR, and SII were independent factors to predict five-year OS. Multivariate analysis showed a lower neutrophil to lymphocyte ratio (NLR) at baseline (p = 0.007) was significantly associated with development of grade ≥3 hematologic toxicity, and none of inflammatory biomarkers could predict grade ≥3 non-hematologic toxicity or radiation pneumonitis (RP).

Conclusion

SII and PLR were independent indicators to predict prognosis in patients with ESCC treated with nCRT, and a lower NLR at baseline was an independent indicator to predict grade ≥3 hematologic toxicity.

A predictive model for treatment response in patients with locally advanced esophageal squamous cell carcinoma after concurrent chemoradiotherapy: based on SUVmean and NLR

Background

We conducted this study to combine the mean standardized uptake value (SUVmean) and neutrophil to lymphocyte ratio (NLR) to establish a strong predictive model for patients with esophageal squamous cell carcinoma (ESCC) after concurrent chemoradiotherapy (CCRT).

Methods

We retrospectively analyzed 163 newly diagnosed ESCC patients treated with CCRT. Eighty patients (training set) were randomly selected to generate cut-off SUVmean and NLR values by receiver operating characteristic (ROC) curve analysis and to establish a predictive model by using the independent predictors of treatment outcomes. Then, we evaluated the performance of the prediction model regarding treatment outcomes in the testing set (n = 83) and in all sets.

Results

A high SUVmean (> 5.81) and high NLR (> 2.42) at diagnosis were associated with unfavorable treatment outcomes in patients with ESCC. The prediction model had a better performance than the simple parameters (p < 0.05). With a cut-off value of 0.77, the prediction model significantly improved the specificity and positive predictive value for treatment response (88.9 and 92.1% in the training set, 95.8 and 97.1% in the testing set, and 92.2 and 91.8% in all sets, respectively).

Conclusions

The pretreatment SUVmean and NLR were independent predictors of treatment response in ESCC patients treated with CCRT. The predictive model was constructed based on these two parameters and provides a highly accurate tool for predicting patient outcomes.

Lymphocyte-monocyte ratio as a predictive marker for pathological complete response to neoadjuvant therapy in esophageal squamous cell carcinoma

Background

The hematological markers of systemic inflammation has been proved to be significantly associated with clinical outcomes in esophageal cancer. This retrospectively study was to evaluate the value of the hematological markers in predicting pathological complete response (pCR) and overall survival (OS) in patients with locally advanced esophageal squamous cell carcinoma (LA-ESCC) who received neoadjuvant chemoradiotherapy (nCRT).

Methods

A total of 87 patients with newly diagnosed LA-ESCC were retrospectively analyzed. The pretreatment lymphocyte-monocyte ratio (LMR), neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII) were selected as hematological markers.

Results

After nCRT, 26 (29.9%) patients achieved pCR and 61 (70.1%) patients had non-pCR. The LMR was significantly higher in patients who achieved pCR compared to that in patients who did not achieve pCR (4.35±1.68 vs. 3.33±1.13, P=0.002). Based on the receiver operating characteristic (ROC) curve, the optimal cut off value of LMR that predicted pCR was 3.73 [area under the curve: 0.712; 95% confidence interval (CI): 0.594–0.830; P=0.002], with a sensitivity of 65.4% and specificity of 77.0%. The pCR rate of patients with LMR ≥3.73 was 53.1%, while the pCR rate of patients with LMR <3.73 was only 16.4% (P<0.001). The univariate and multivariate logistic regression analysis confirmed that LMR was an independent predictor of pCR [odds ratio: 5.093; 95% CI: 1.658–15.646; P=0.004]. However, in the prediction of OS, a multivariate Cox proportional hazard model revealed that only clinical stage [hazard ratio (HR): 1.970; 95% CI: 1.144–3.391; P=0.014] and pCR (HR: 0.469; 95% CI: 0.237–0.928; P=0.030) were independent prognostic factors.

Conclusions

Pre-treatment LMR may predict pCR in LA-ESCC patients who were treated with nCRT. Having pCR is an independent prognostic factor for prolonged survival.

Predictive value of immune-inflammation indices in metabolic response and outcome after curative radiotherapy in patients with non-small cell lung cancer

INTRODUCTION

Role of systemic inflammation response in prognosis of several solid tumors has been evaluated in quite a lot of recent reports.

OBJECTIVES

In this study, we aimed to investigate the effect of a novel immune response marker; systemic immune-inflammation index (SII) on metabolic response to chemoradiotherapy and outcome in patients with non-small cell lung cancer (NSCLC). Other several inflammatory indices such as neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), lymphocyte to monocyte ratio (LMR) and prognostic nutritional index (PNI) were also evaluated in terms of predictive value.

METHODS

Files of 66 newly diagnosed NSCLC patients who underwent curative radiotherapy were retrospectively analyzed. Factors correlated with overall survival was evaluated via univariate and multivariate survival analysis.

RESULTS

In 20.05 months of median follow-up 22 (33.33%) patients were alive. Median overall survival, 3 and 5 years survival for the entire group were 25.49 (95% CI: 19.07-31.91) months, 54.9% and 20.1%, respectively. Among investigated inflammatory indices, only low PNI (≤45.45), was found significantly correlated with poor response rate (P: .024). None of the prognostic factors and inflammatory indices were found statistically significant in terms of overall survival via univariate and multivariate analysis.

CONCLUSIONS

Immunoinflammatory indices are feasible prognostic indicators for clinical use with easily accessible components. In this study, we demonstrated that pretreatment PNI ≤ 45.45 was statistically significant for predicting poor treatment response. None of the indices were significantly correlated with radiation pneumonitis.

Baseline FDG Uptake And Peripheral Lymphocyte-Monocyte Ratio For Predicting Chemoradiotherapy Response In Patients With Esophageal Squamous Cell Carcinoma

Purpose

To explore he predictive values of both the baseline SUVmax of ¹⁸F-fluorodeoxy-glucose by the primary tumor in positron emission tomography/computed tomography (PET/CT) and the lymphocyte-monocyte ratio (LMR) in peripheral blood in inoperable treated esophageal squamous cell carcinoma (ESCC) patients who received concurrent chemoradiotherapy (CCRT).

Patients and methods

Between January 2011 and December 2016, 138 newly diagnosed ESCC patients from our institution were retrospectively recruited. The optimal cut-off values for baseline SUVmax and peripheral LMR were determined by individual receiver operating characteristic curves. The predictive values of baseline SUVmax and peripheral LMR for primary tumor response were examined by chi-square and Fisher’s exact tests, as was their combined predictive value.

Results

The objective response rate (ORR) was significantly different between the high-SUVmax group and the low-SUVmax group (61.9% vs 87.8%; P=0.004), as well as between the high-LMR group and the low-LMR group (80.7% vs 52.0%; P=0.001). Furthermore, the low-SUVmax-high-LMR group achieved the best ORR (100%), which was significantly different from the ORRs of the high-SUVmax-high-LMR group (ORR: 72.1%, P=0.002), the high-SUVmax-low-LMR group (ORR: 45.7%, P=0.001), and the low-SUVmax-low-LMR group (ORR: 45.7%, P=0.001).

Conclusion

Baseline SUVmax of the primary tumor and the peripheral LMR are independent predictors of CCRT response in the primary tumors of ESCC patients. Patients who have lower FDG uptake accompanied by a higher peripheral LMR are more likely to have a better primary tumor response after CCRT.

The predictive value of dynamic monitoring of peripheral blood lymphocyte to monocyte ratio in patients with extranodal NK/T cell lymphoma

Background

To investigate the value of dynamic monitoring peripheral blood lymphocyte-to-monocyte (LMR) ratio in evaluating the treatment response and prognosis of patients with extranodal NK/T cell lymphoma (ENKTL).

Methods

A total of 148 patients with ENKTL were retrospectively analyzed in the Affiliated Tumor Hospital of Zhengzhou University between March 2012 and March 2018. The optimal cut-off value of LMR was determined using the receiver operating characteristic curve (ROC) method, then patients were divided into low LMR group and high LMR group. The LMR level was dynamically measured at various time points, and the relationships between LMR and therapeutic response, and survival were analyzed.

Results

The complete remission rate (CR) was 85.7% in patients with high LMR at diagnosis, which was remarkably higher than that of patients with low LMR at diagnosis (64.9%) (P = 0.009). The 5-year overall survival (OS) and progression-free survival (PFS) were 49.28% and 44.89% in the low LMR group, respectively; 5-year OS and PFS in the high LMR group were 84.50% and 67.12%, respectively, significantly longer (P values were < 0.001 and 0.034, respectively). The OS and PFS of patients with elevated LMR after treatment were longer than those with decreased LMR after treatment (all P values < 0.05). The LMRs at relapse were significantly lower in both high and low LMR groups than those of the last follow-up (P values were 0.001 and 0.016, respectively). Univariate and multivariate analysis demonstrated that low LMR was an independent risk factor for poor prognosis in ENKTL patients (P values were < 0.001 and 0.009, respectively).

Conclusions

Lymphocyte to monocyte ratio can be used as an indicator of treatment response, prognosis and recurrence in patients with ENKTL. Low LMR before and after treatment is a poor prognostic factor.

Prognostic significance of inflammation-based indexes in patients with stage III/IV colorectal cancer after adjuvant chemoradiotherapy

Inflammation-based indexes such as neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), and systemic immune-inflammation indexes (SII) have been reported to be associated with prognosis in cancer patients.The aim of this study was to estimate the prognostic significance of inflammation-based indexes such as NLR, PLR, LMR, and SII in stage III/IV colorectal cancer (CRC) patients undertaking adjuvant chemoradiotherapy (CRT).Two hundred twenty stage III/IV CRC patients were enrolled in this study. Inflammatory indexes were defined as follows: NLR = absolute neutrophil counts/absolute lymphocyte counts; PLR = absolute platelet counts/absolute lymphocyte counts; LMR = absolute lymphocyte counts/absolute monocyte counts; SII = absolute neutrophil counts × absolute platelet counts/absolute lymphocyte counts. The correlations between indexes and prognosis were evaluated using the Cox proportional hazard model.The results of univariate analysis demonstrated that NLR, PLR, and SII were significantly associated with progression-free survival (PFS) and overall survival (OS). Multivariate analysis showed that SII (P = .030) was an independent predictor of PFS, and NLR (P = .047) was an independent prognostic factor of OS.Those inflammation-based indexes could provide a convenient and secure method to predict the outcomes of stage III/IV CRC patients receiving adjuvant CRT.

Prognostic impact of pretreatment lymphocyte-to-monocyte ratio in advanced epithelial cancers: a meta-analysis

Background

There is increasing evidence that inflammation-based biomarkers are associated with tumor microenvironment which plays important roles in cancer progression. A high lymphocyte-to-monocyte ratio (LMR), has been suggested to indicate favorable prognoses in various epithelial cancers. We performed a meta-analysis to quantify the prognostic value of LMR in advanced-stage epithelial cancers undergoing various treatment.

Methods

We searched PubMed, EMBASE, Web of science and Cochrane Library up to July 2018 for relevant studies. We included studies assessing the prognostic impact of pretreatment LMR on clinical outcomes in patients with advanced-stage epithelial cancers. The primary outcome was overall survival (OS) and the secondary outcome was progression free survival (PFS). The summary hazard ratio (HR) and 95% confidence interval (CI) were calculated.

Results

A total of 8984 patients from 35 studies were included. A high pretreatment LMR was associated with favorable OS (HR = 0.578, 95% CI 0.522–0.641, P < 0.001) and PFS (HR = 0.598, 95% CI 0.465–0.768, P < 0.001). The effect of LMR on OS was observed among various tumor types. A higher pretreatment LMR was associated with improved OS in chemotherapy (n = 10, HR = 0.592, 95% CI 0.518–0.676, P < 0.001), surgery (n = 10, HR = 0.683, 95% CI 0.579–0.807, P < 0.001) and combined therapy (n = 11, HR = 0.507, 95% CI 0.442–0.582, P < 0.001) in the subgroup analysis by different therapeutic strategies. The cut-off value for LMR was 3.0 (range = 2.35–5.46). Subgroup analysis according to the cut-off value showed a significant prognostic value of LMR on OS and PFS in both subgroups.

Conclusions

A high pretreatment LMR is associated with favorable clinical outcomes in advanced-stage epithelial cancers undergoing different therapeutic strategies. LMR could be used to improve clinical decision-making regarding treatment in advanced epithelial cancers.

Electronic supplementary material

The online version of this article (10.1186/s12935-018-0698-5) contains supplementary material, which is available to authorized users.

The clinical use of pretreatment NLR, PLR, and LMR in patients with esophageal squamous cell carcinoma: evidence from a meta-analysis

Background and purpose

The relationship between neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), and lymphocyte to monocyte ratio (LMR) and the prognostic and clinicopathological significance in patients with esophageal squamous cell carcinoma (ESCC) has been reported by many studies. However, inconsistent results have been presented. The current study aimed to investigate the prognostic and clinicopathological role of NLR, PLR, and LMR in patients with ESCC by meta-analysis.

Methods

Eligible studies were identified in databases and the relationship between NLR/PLR/LMR and the prognosis or clinicopathological features in patients with ESCC was evaluated. OR or HR with 95% CI was calculated to estimate the risk or hazard association.

Result

Twenty-six studies including 8,586 ESCC patients were included for the analysis. We found that high NLR, PLR and low LMR were associated with poor overall survival/cancer-specific survival and event-free survival and malignant phenotypes such as deeper depth of invasion (T), positive lymph node metastasis (N), and advanced TNM stage.

Conclusion

NLR, PLR, and LMR might serve as prognostic markers in patients with ESCC.

Lymphocyte-to-monocyte ratio in esophageal squamous cell carcinoma prognosis

INTRODUCTION

Recently, the prognostic value of the lymphocyte-to-monocyte ratio (LMR) has been widely evaluated in multiple malignancies. However, its prognostic value in patients with esophageal squamous cell carcinoma (ESCC) remains controversial. Herein, we perform a meta-analysis to assess the prognostic value of the preoperative LMR in ESCC.

METHODS

Relevant studies were systematically retrieved from the online Cochrane, MEDLINE, and EMBASE databases published until March 2018. Data from studies reporting a hazard ratio (HR) and 95% confidence interval (CI) were weighted by generic inverse-variance and pooled in either fixed-effects models or random effects meta-analysis. Seven eligible studies involving 1701 patients were analyzed in this meta-analysis.

RESULTS

The synthesized analysis showed that patients with low LMR had a significantly shorter overall survival (OS) (HR: 0.67, 95% CI: 0.58-0.78, p < 0.001) and disease-free survival (DFS)/progression-free survival (PFS) (HR: 0.67, 95% CI: 0.50-0.92, p = 0.01). Additionally, low LMR was correlated with TNM stage (III-IV vs. I-II; HR = 1.94, 95% CI: 1.16-3.22, P = 0.01) and tumor recurrence (yes vs. no; HR = 1.71, 95% CI: 1.06-2.77, P = 0.03).

CONCLUSION

Low LMR was associated with advanced clinicopathological features and poor prognosis as a predicative biomarker in patients with ESCC.

Neutrophil to Lymphocyte Ratio as Predictor of Treatment Response in Esophageal Squamous Cell Cancer

BACKGROUND

The aim of this study was to assess the difference (Δ) in neutrophil to lymphocyte ratio (NLR), before and after chemoradiotherapy, as a predictor of treatment response and a prognostic factor for recurrence and disease-free survival in patients with esophageal squamous cell cancer treated with chemoradiotherapy with or without surgery.

METHODS

Patients with locally advanced esophageal squamous cell cancer treated with chemoradiation with and without surgery who had a complete blood count before and after chemoradiotherapy were included. Pretreatment and posttreatment NLR were calculated by dividing the absolute neutrophil count by the absolute lymphocyte count. The ΔNLR was defined as posttreatment minus pretreatment NLR. Characteristics were evaluated for association with ΔNLR using the Wilcoxon signed rank test or the Kruskal-Wallis test. Risk of recurrence and disease-free survival were evaluated using Gray's and the log rank tests, respectively.

RESULTS

We included 217 patients. Of them, 133 patients (61.3%) received only chemoradiotherapy and 84 (38.7%) underwent surgery after chemoradiotherapy. Among the surgical patients, 43% with pathologic complete response showed significantly lower median ΔNLR than patients with residual disease (-0.03 versus 1.04, p = 0.004). High ΔNLR was a negative predictor of treatment response (odds ratio 0.77, 95% confidence interval: 0.62 to 0.9, p = 0.004). A significant association between high ΔNLR and increased risk of recurrence was also identified.

CONCLUSIONS

The ΔNLR was inversely related to pathologic complete response and associated with risk of recurrence. This simple test, in concert with other clinical tools, can help identify patients with pathologic complete response.

LMR predicts outcome in patients after preoperative chemoradiotherapy for stage II-III rectal cancer

BACKGROUND

Recently, lymphocyte-to-monocyte ratio (LMR) has attracted attention as a new marker of the chronic systemic inflammatory response and has been associated with patient prognosis in those who underwent chemoradiotherapy (CRT) for several solid cancers. This study aimed to evaluate the association between LMR and the prognosis of patients with rectal cancer.

METHODS

A total of 183 stage II-III rectal cancer patients who underwent preoperative CRT followed by surgical R0 resection were retrospectively reviewed. The LMR was calculated from pre- and post-CRT blood samples. To determine the optimal cutoff value for pre- and post-CRT LMR for predicting relapse-free survival (RFS) and overall survival (OS), a receiver operator characteristic curve was used. Cox's proportional hazard models were applied to identify risk factors for recurrence and overall mortality.

RESULTS

Low LMR was observed in 54 patients (pre-CRT <4.0) and 29 patients (post-CRT <1.5). Although pre-CRT LMR correlated with tumor size and ypT stage, post-CRT LMR showed no correlation to any pathologic features. Median follow-up term was 66.3 months; the 5-year RFS and OS of all patients were 72.5% and 88.7%, respectively. We found that a low pre-CRT LMR was an independent risk factor for OS (hazard ratio, 2.83; 95% confidence interval 1.03-8.13; P = 0.043).

CONCLUSIONS

In rectal cancer patients who have undergone preoperative CRT, a low pre-CRT LMR is a poor prognostic factor for OS.

The association between the lymphocyte-monocyte ratio and disease activity in rheumatoid arthritis

The lymphocyte-monocyte ratio (LMR) is a systemic inflammatory marker for prediction of disease development, progress, and survival. Recently, a genome-wide association study identified genetic variations in ITGA4 and HLA-DRB1 that affect the LMR levels and were widely believed to be susceptibility genes for autoimmune diseases, including rheumatoid arthritis (RA). However, the role of LMR in RA patients remains unclear. The LMR level and other laboratory data of 66 RA patients, 163 osteoarthritis (OA) patients, and 131 healthy controls (HC) were compared using binary logistic regression. The correlations between LMR and disease activity and other inflammatory markers were measured using the Spearman rank test. ROC curve analyses assessed the diagnostic accuracy of LMR in RA. The LMR and lymphocyte count were significantly lower in RA patients, whereas the monocyte count was significantly higher relative to the HC group/OA patients (p < 0.01). A decreased LMR has been associated with increased disease activity (p = 0.012). In addition, the DAS28 and traditional inflammatory markers, including ESR, CRP, RDW, PLR, and NLR, and immune-related factors, such as C4, IgA, and IgM, were inversely correlated with LMR, while hemoglobin and albumin were positively correlated with LMR. The ROC curve showed that the area under the curve of LMR was 0.705 (95%CI = 0.630-0.781). The corresponding specificity and sensitivity were 82.82 and 45.45%, respectively. The present study shows that the LMR is an important inflammatory marker which could be used to identify disease activity in RA patients and to distinguish RA from OA patients.