Prognostic and predictive significance of circulating biomarkers in patients with advanced upper gastrointestinal cancer undergoing systemic chemotherapy

Inflammatory Biomarkers from Blood Counts as Prognostic Tools in Metastatic Esophageal Cancer

BACKGROUND Globally, esophageal cancer ranks as the sixth leading cause of cancer-related mortality. This retrospective study from a single center in Turkey aimed to evaluate hematological inflammatory biomarkers in complete blood count (CBC) data and outcomes in 113 patients with advanced esophageal carcinomas. MATERIAL AND METHODS We conducted a retrospective analysis of 113 patients with metastatic esophageal cancer composed of squamous (92), adenocarcinoma (18), and small cell (3) histology. We investigated neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), platelet-to-lymphocyte ratio (PLR), neutrophil-to-platelet lymphocyte ratio (NLPR), neutrophile-to-monocyte ratio (NMR), systemic inflammation index (SII), systemic inflammatory response index (SIRI), and aggregate index of systemic inflammation (AISI) in terms of prognosis. RESULTS The initial treatment for 25.7% of patients consisted of a carboplatin-paclitaxel combination. In response to the initial round of chemotherapy, 52.2% of patients showed improvement (15% complete, 37.2% partial), while 18.6% experienced disease progression. Neutropenia was observed as the most prevalent severe (grades 3-4) adverse reaction, affecting 19.8% of patients. Higher NLR, PLR, SII, NLPR, SIRI, and AISI values were associated with worse survival (P=0.016, P=0.008, P=0.011, P=0.028, P=0.014, P=0.001, respectively), whereas higher LMR was correlated with better survival (P=0.001). The NMR analysis showed no significant association (P=0.46). Multivariate analysis identified independent prognostic factors except histology, PLR, and NLPR. CONCLUSIONS Research indicates that inflammatory indicators obtained from complete blood count analyses possess prognostic significance for individuals with metastatic esophageal cancer. These biomarkers demonstrate diverse capacities in forecasting the course of the disease. These simple and inexpensive markers need further confirmation to guide individualized treatment planning.

CD3+/CD4+ cells combined with myosteatosis predict the prognosis in patients who underwent gastric cancer surgery

BACKGROUND

This study aimed to investigate the predictive capacity of lymphocyte subpopulations, sarcopenia and myosteatosis for clinical outcomes in patients who underwent gastric cancer surgery. Additionally, the prognostic significance of CD3+/CD4+ cells in conjunction with myosteatosis was explored.

METHODS

A cohort of 190 patients with gastric cancer who underwent surgery and received computed tomography scans between July 2016 and December 2017 at our institution was examined. Complete clinical information and peripheral lymphocyte subpopulations were available for all patients. A comprehensive array of statistical methodologies was employed to scrutinize variances in both clinical and pathological characteristics among patients, with the aim of identifying autonomous prognostic determinants requisite for the development of a nomogram. Subsequent assessment of the predictive efficacy of the nomogram was conducted via calibration curve analysis.

RESULTS

The study comprised a cohort of 190 participants, encompassing 126 males (66.32%) and 64 females (33.68%), with a mean age of 58.47 (±11.37) years. Patients were stratified into three groups based on CD3+/CD4+ cells and myosteatosis, with 24 in Group 1, 87 in Group 2 and 79 in Group 3. Notably, patients in the third group exhibited significantly shorter progression-free survival (PFS) (hazard ratio [HR] = 0.208, P < 0.001) and overall survival (OS) (HR = 0.193, P < 0.001). The subset of peripheral blood lymphocytes exhibited elevated levels of CD3+/CD4+ cells (HR = 2.485, P < 0.001) and heightened CD4+/CD8+ ratios (HR = 1.705, P = 0.038), whereas diminished CD19+ cell counts (HR = 0.210, P = 0.032) correlated with improved OS in patients. The individuals presenting with sarcopenia (HR = 4.089, P = 0.023) and myosteatosis (HR = 2.857, P < 0.001) displayed reduced OS. The multivariate Cox regression analysis showed that pathological tumour-node-metastasis stage, CD19+ cells, sarcopenia and CD3+/CD4+ cell-myosteatosis were identified as independent prognostic factors for PFS and OS in patients. The constructed nomograms for PFS and OS yielded C-index values of 0.839 (95% confidence interval [CI]: 0.798-0.880) and 0.836 (95% CI: 0.792-0.879), respectively. The calibration analysis demonstrated that the nomograms accurately predicted the 3- and 5-year survival rates of PFS and OS in patients.

CONCLUSIONS

Lymphocyte subsets, including CD3+/CD4+ cells, CD4+/CD8+ ratio and CD19+ cells, are indicative of clinical prognosis in gastric cancer surgery patients. Body composition parameters, such as sarcopenia and myosteatosis, are also associated with the patient's prognosis. The combination of CD3+/CD4+ cells with myosteatosis demonstrates enhanced prognostic value, enabling the identification of patients at high risk of post-operative metastasis and recurrence.

Impact of the gut microbiome on response and toxicity to chemotherapy in advanced esophageal cancer

Objective

To identify the gut bacteria associated with chemotherapeutic outcomes, t characterized the gut microbiota in patients with esophageal squamous cell carcinoma (ESCC) in this prospective study.

Design

Thirty-one patients with ESCC were enrolled. Chemotherapy was performed with paclitaxel and cisplatin (TP). Fecal samples were collected before and after treatment and analyzed using 16S rRNA sequencing.

Results

The species with differences in baseline abundance between partial response (PR) and non-PR groups was identified as Bacteroides plebeius (P = 0.043). The baseline abundance of B. plebeius was higher in the responder (R, PR + stable disease (SD)) group (P = 0.045) than in the non-responder (NR). The abundance of B. ovatus was identified as a predictor for distinguishing patients with PR from those without PR (sensitivity, 83.3 %; specificity, 69.6 %). The abundance of B. plebeius was positively associated with the response to PR + SD (R) in predicting responders in the receiver operating characteristic (ROC) curve analysis (area under the ROC curve = 0.865, P = 0.041). The abundance of B. plebeius and B.uniform was a predictor of grade (G) 3-4 chemotherapy toxicities. The sensitivity and specificity of the established multi-analyte microbial predictive model demonstrated a better predictive ability than a single parameter (B. uniform or B. plebeius).

Conclusion

The abundance of gut microbiota B. plebeius and B. ovatus are associated with the efficacy of TP chemotherapy in patients with ESCC. The abundance of B. plebeius and B.uniform may related to the toxicity of TP chemotherapy.

Predictive value of lymphocyte subsets and lymphocyte-to-monocyte ratio in assessing the efficacy of neoadjuvant therapy in breast cancer

Lymphocyte subsets are the most intuitive expression of the body's immune ability, and the lymphocyte-to-monocyte ratio (LMR) also clearly reflect the degree of chronic inflammation activity. The purpose of this study is to investigate their predictive value of lymphocyte subsets and LMR to neoadjuvant therapy (NAT) efficacy in breast cancer patients. In this study, lymphocyte subsets and LMR were compared between breast cancer patients (n = 70) and benign breast tumor female populations (n = 48). Breast cancer patients were treated with NAT, and the chemotherapy response of the breast was evaluated using established criteria. The differences in lymphocyte subsets and LMR were also compared between pathological complete response (pCR) and non-pCR patients before and after NAT. Finally, data were analyzed using SPSS. The analytical results demonstrated that breast cancer patients showed significantly lower levels of CD3 + T cells, CD4 + T cells, CD4 + /CD8 + ratio, NK cells, and LMR compared to benign breast tumor women (P < 0.05). Among breast cancer patients, those who achieved pCR had higher levels of CD4 + T cells, NK cells, and LMR before NAT (P < 0.05). NAT increased CD4 + /CD8 + ratio and decreased CD8 + T cells in pCR patients (P < 0.05). Additionally, both pCR and non-pCR patients exhibited an increase in CD3 + T cells and CD4 + T cells after treatment, but the increase was significantly higher in pCR patients (P < 0.05). Conversely, both pCR and non-pCR patients experienced a decrease in LMR after treatment. However, this decrease was significantly lower in pCR patients (P < 0.05). These indicators demonstrated their predictive value for therapeutic efficacy. In conclusion, breast cancer patients experience tumor-related immunosuppression and high chronic inflammation response. But this phenomenon can be reversed to varying degrees by NAT. It has been found that lymphocyte subsets and LMR have good predictive value for pCR. Therefore, these markers can be utilized to identify individuals who are insensitive to NAT early on, enabling the adjustment of treatment plans and achieving precise breast cancer treatment.

A combined nomogram based on radiomics and hematology to predict the pathological complete response of neoadjuvant immunochemotherapy in esophageal squamous cell carcinoma

BACKGROUND

To predict pathological complete response (pCR) in patients receiving neoadjuvant immunochemotherapy (nICT) for esophageal squamous cell carcinoma (ESCC), we explored the factors that influence pCR after nICT and established a combined nomogram model.

METHODS

We retrospectively included 164 ESCC patients treated with nICT. The radiomics signature and hematology model were constructed utilizing least absolute shrinkage and selection operator (LASSO) regression, and the radiomics score (radScore) and hematology score (hemScore) were determined for each patient. Using the radScore, hemScore, and independent influencing factors obtained through univariate and multivariate analyses, a combined nomogram was established. The consistency and prediction ability of the nomogram were assessed utilizing calibration curve and the area under the receiver operating factor curve (AUC), and the clinical benefits were assessed utilizing decision curve analysis (DCA).

RESULTS

We constructed three predictive models.The AUC values of the radiomics signature and hematology model reached 0.874 (95% CI: 0.819-0.928) and 0.772 (95% CI: 0.699-0.845), respectively. Tumor length, cN stage, the radScore, and the hemScore were found to be independent factors influencing pCR according to univariate and multivariate analyses (P < 0.05). A combined nomogram was constructed from these factors, and AUC reached 0.934 (95% CI: 0.896-0.972). DCA demonstrated that the clinical benefits brought by the nomogram for patients across an extensive range were greater than those of other individual models.

CONCLUSIONS

By combining CT radiomics, hematological factors, and clinicopathological characteristics before treatment, we developed a nomogram model that effectively predicted whether ESCC patients would achieve pCR after nICT, thus identifying patients who are sensitive to nICT and assisting in clinical treatment decision-making.