Predictive value of lymphocyte-to-monocyte ratio (LMR) and neutrophil-to-lymphocyte ratio (NLR) in patients with oesophageal cancer undergoing concurrent chemoradiotherapy

Oesophageal cancer is one of the most common tumours in the world. According to the latest statistics, the incidence of oesophageal cancer ranks fourth among all tumours [1]. There are two main pathological types of oesophageal cancer: oesophageal squamous cell carcinoma (ESCC) and oesophageal adenocarcinoma (EAC), and ESCC is the more common type, especially in Asia and Africa [2]. Due to the lack of specific symptoms in the early stage of oesophageal squamous cell carcinoma, most patients are in the advanced stage at the time of diagnosis and lose the opportunity for surgery. In China, approximately 38,000 people die of oesophageal cancer each year [3].

For patients with inoperable oesophageal cancer, there are a variety of treatments, including radiotherapy, chemotherapy, concurrent chemoradiotherapy, targeted therapy and immunotherapy [4]. In clinical work, concurrent chemoradiotherapy is the main means we use to improve the survival of patients with advanced oesophageal cancer. Radiation therapy has played an increasingly important role in the treatment of oesophageal cancer [5]. With the continuous updating and development of technology, techniques such as intensity-modulated radiation therapy (IMRT), volumetric arc therapy (VMAT) and proton therapy have been used to treat patients with advanced oesophageal cancer. Studies by Stefania Martini and Francesca Arcadipane et al. have demonstrated that volumetric modulated arc therapy (VMAT) is an effective and safe strategy for treatment of patients with advanced oesophageal cancer [6‐8]. According to a study by Samantha Warren et al., proton therapy for patients with advanced oesophageal cancer may have lower blood toxicity [9]. Similarly, a retrospective analysis by Mian Xi and Cai Xu et al. showed that the metrological advantages of proton therapy play an important role in improving the overall survival of patients with advanced oesophageal cancer [10]. These methods can not only improve the therapeutic effect on the tumour area but also better protect normal tissues, such as the heart and lungs. However, the therapeutic effects of these treatments in individuals with oesophageal cancer remain uncertain. Because each individual patient is different, even if their clinical TNM staging is the same, their survival can vary greatly after receiving similar treatment. We have observed that some stage IV patients can continue to survive for several years, and some patients die within a few months after diagnosis. We expect a positive treatment response for patients who expect to live longer and seek prolong their survival as much as possible. For patients who are expected to have a shorter survival time, some palliative treatments can be used to alleviate suffering and avoid the side effects and financial burden caused by overly aggressive treatment. Recently, some studies have shown that certain protein markers or genes can predict the survival of patients with oesophageal cancer [11, 12], but the acquisition of these indicators is very cumbersome, imposes a large economic burden and requires an extended wait time for patients. Therefore, it is especially important to identify blood inflammatory markers that are easy to obtain and can predict patient survival.

Currently, inflammatory markers such as LMR and NLR are widely studied in predicting the prognosis of oesophageal cancer. Based on their research, Dawei Yuan and colleagues believe that NLR has great value in predicting the disease-free survival and overall survival of patients with oesophageal cancer after surgery [13]. Noriyuki Hirahara and his team used a scoring system based on LMR, NLR and PLR and reported that LMR and NLR are effective predictors of overall survival in patients with oesophageal cancer [14]. Conway AM and Salih Z et al. concluded that NLR is an independent prognostic factor for oesophageal cancer and can be used in conjunction with AJCC8 clinical staging to predict baseline prognosis stratification in patients newly diagnosed with resectable, oesophageal adenocarcinoma [15]. The above studies suggest that LMR and NLR are potential clinical biomarkers that are easy to calculate, can be repeatably obtained and have a low cost. However, there have been no reports on the correlation between inflammation-related indicators and the overall survival of oesophageal cancer patients after they receive radiotherapy and chemotherapy. The aim of our study was to determine whether LMR and NLR could be predictors of survival in patients with advanced oesophageal cancer that receive concurrent chemoradiotherapy.

A total of 204 patients with oesophageal cancer were included in this study. The age distribution of the patients was between 38 and 85 years, with a median age of 65.8 years; other specific clinical and pathological features of the patients are shown in Table 1.

The median follow-up time was 11.5 months (range: 2.1 to 77.4 months). According to univariate COX regression (Table 2), drinking history, tumour length, neutrophils, NLR, and LMR were associated with survival in patients undergoing concurrent chemoradiotherapy for oesophageal cancer.

Multivariate COX regression (Table 3) analysis was performed with the statistically significant indicators in the univariate COX regression analysis, and the results suggested that NLR (OR 2.233 (95% CI 1.67–2.96), p < 0.005), LMR (OR 0.278 (95% CI 0.205–0.376), p < 0.05), and T stage are predictors of survival in patients with oesophageal cancer. Patients with high LMR values showed longer survival than patients with low LMR values, whereas patients with a lower NLR had a longer survival period than patients with high NLR values.

A receiver operating characteristic (ROC) curve (Fig. 1) was plotted to assess the value of statistically significant variables in the COX regression model for NLR and LMR. The area under the curve of LMR and NLR was 0.734 and 0.749, and the optimal cutoff value of LMR and NLR was 3.03 and 2.64, respectively. The ROC curve is shown in Fig. 1.

Kaplan-Meier analysis was applied to construct a survival curve. In patients with an NLR (Fig. 2) less than 2.64, the mean survival was 19.8 months, and the median survival was 15 months. In patients with an NLR greater than or equal to 2.64, the mean survival was 10.3 months, and the median survival was 8 months. In patients with an LMR (Fig. 3) less than 3.03, the mean survival was 8.3 months, and the median survival was 7 months. In patients with an LMR greater than or equal to 3.03, the mean survival was 20.2 months, and the median survival was 16 months. Both p values were less than 0.05, indicating statistical significance.

Chi-square tests were used to analyse the relationship between LMR and NLR and conventional tumour parameters. Analyses showed that NLR (Table 4) was associated with N stage (p < 0.05), tumour location (p = 0.017), tumour stage (p < 0.05), and treatment efficacy (p < 0.05), while LMR (Table 5) was associated with efficacy of treatment (p < 0.05). At the same time, multivariate logistic regression showed that NLR (OR 1.918 (95% CI 1.406–2.617) p < 0.05), and LMR (OR 0.337 (95% CI 0.245–0.463) p < 0.05) were significantly associated with PFS.

Oesophageal cancer is a malignant tumour with high incidence. Its occurrence and development are related to age, gender, occupation, race, region, living environment, eating habits, and genetic susceptibility, among other factors. Long-term drinking of strong alcohol, habitual smoking, eating food that is too hard, overheating, eating too fast can cause irritation, and chronic inflammation can lead to oesophageal cancer. Despite the continuous innovation in surgical methods, improvement in chemotherapy regimens, adjustment of radiotherapy plans, and continuous development and marketing of targeted therapeutics and immunotherapeutics, the survival rate of patients with advanced oesophageal cancer is still very low. Moreover, patients with oesophageal cancer with the same TMN stage have widely varying survival outcomes after receiving similar treatment, and some patients even rapidly deteriorate after treatment with standardized chemotherapy. Therefore, predicting a patient’s likely survival before treatment can help the clinician determine prognosis and provide individualized treatment. Currently, clinical TNM staging is considered the gold standard for predicting outcomes and determining treatment options. However, because accurate TNM staging requires post-operative pathology, it is difficult for TNM staging to predict survival and determine further treatment strategies for patients with advanced oesophageal cancer who are inoperable. In view of the above facts, there is an urgent need to explore prognostic biomarkers that are easily evaluated and reproducible for patients with advanced inoperable oesophageal cancer.

Among the many potential biomarkers, such as genetic, immunological, and haematological markers, systemic inflammatory markers in peripheral blood are receiving increasing attention for prediction of tumour recurrence, metastasis, and prognosis [16‐18]. Recent studies have shown that absolute inflammatory cell counts in peripheral blood (neutrophils, white blood cells, lymphocytes and monocytes) and ratios based on these cell counts (NLR, PLR and LMR) may play a key role in predicting the overall survival of patients with tumours, including colorectal cancer [19], head and neck cancer [20], non-small cell lung cancer [21]. Chen and his colleagues have shown that red cell distribution width (RDW) has predictive value for determining the survival of patients with oesophageal cancer [22]. Yusuke Ishibashi and his team believe that CAR is the most important predictor of OS in patients with oesophageal cancer [23]. A study by Hongdian Zhang and Xiaobin Shang et al. showed that systemic immune-inflammation index (SII) and prognostic nutritional index (PNI) are powerful indicators of invasive biology and poor prognosis in ESCC patients. The combination of SII and PNI can improve the accuracy of prognosis in patients with oesophageal cancer [24]. A retrospective analysis by Apostolos Gaitanidis and his colleagues showed that markers of the systemic inflammatory response are prognostic factors in patients with pancreatic neuroendocrine tumours [25]. Some previous studies have shown that inflammatory markers may affect the survival of cancer patients in many ways. Cancer-associated inflammation alters and polarizes the tumour microenvironment, and although it is not associated with tumour necrosis, it can increase the propensity for tumour recurrence and metastasis [26, 27]. Inflammatory cells can not only inhibit the proliferation and migration of tumour cells [28], but also eliminate residual tumour cells and micrometastases [29]. Lymphocytes play an important role in promoting anti-tumour immunity, and lymphopenia may impair the efficacy of the immune system. For example, if the level of effector T cells is insufficient, cell-mediated cytotoxicity may be weakened, and the killing effect on tumour cells is also weakened [30].

Although our data and results were accurately refined and calculated, this study has some limitations. First, only 204 patients were examined in this study, which may result in unstable results due to the small sample size. Second, TNM staging is only clinical staging, and although we used ultrasound endoscopy and contrast-enhanced CT and PET/CT to determine staging, these methods may limit the ability to assess the prognosis of ESCC compared with pathological staging. Furthermore, our study only verifies the predictive value of LMR and NLR for patient survival, and we need to establish a systematic mathematical prediction model to serve the clinic. Finally, this was a single-centre and retrospective study; thus, all the included patients were from a single hospital, and the conclusions were not verified in other centres. Therefore, this study requires further prospective trials at multiple centres to confirm the reproducibility of the results in heterogeneous populations.

LMR and NLR are predictors of outcome for patients with advanced oesophageal cancer who receive concurrent chemoradiotherapy. The value of LMR and NLR can help clinicians predict the survival of patients and to select appropriate treatment schemes.