Laboratory Parameters are Possible Prognostic Markers in Patients with Advanced-stage NSCLC Treated with Bevacizumab plus Chemotherapy

Prognostic value of tumor‑associated CD177+ neutrophils in lung adenocarcinoma

The aim of the present study was to detect CD177+ neutrophils in tumor tissues and analyze their association with the clinical characteristics and prognosis of patients with lung adenocarcinoma (LUAD). Immunohistochemistry was used to detect CD177+ neutrophils in tumors and adjacent tissues of 16 patients with LUAD who underwent curative surgical resection. A total of 120 patients with LUAD were recruited, and their clinical data were collected; survival follow-up was performed. CD177+ neutrophils in tumor tissues were detected via immunohistochemistry, and the association between CD177+ neutrophils and clinical characteristics was analyzed. The density of CD177+ neutrophils in tumor tissues and adjacent tissues of patients with LUAD was analyzed using t-test, and the association between CD177+ neutrophils and clinical characteristics was analyzed through the Chi-square test. Survival was calculated using the Kaplan-Meier survival rate curve. Finally, the association between these indicators and the survival of LUAD patients was evaluated using Cox regression analysis. CD177+ neutrophil infiltration was significantly higher in LUAD tumor tissues, and the high density of CD177+ neutrophils was associated with the clinical characteristics of TNM stage, tumor differentiation and poor progression-free and overall survival in LUAD. In conclusion, tumor-associated CD177+ neutrophils associated with malignant progression and poor prognosis may be independent and unfavorable prognostic biomarkers for LUAD.

Combined use of CYFRA 21-1 and CA 125 predicts survival of patients with metastatic NSCLC and stable disease in IMpower150

BACKGROUND

Patients with non-small cell lung cancer (NSCLC) and stable disease (SD) have an unmet clinical need to help guide early treatment adjustments.

OBJECTIVE

To evaluate the potential of tumor biomarkers to inform on survival outcomes in NSCLC SD patients.

METHODS

This post hoc analysis included 480 patients from the IMpower150 study with metastatic NSCLC, treated with chemotherapy, atezolizumab and bevacizumab combinations, who had SD at first CT scan (post-treatment initiation). Patients were stratified into high- and low-risk groups (overall survival [OS] and progression-free survival [PFS] outcomes) based on serum tumor biomarker levels.

RESULTS

The CYFRA 21-1 and CA 125 biomarker combination predicted OS and PFS in patients with SD. Risk of death was ~4-fold higher for the biomarker-stratified high-risk versus low-risk SD patients (hazard ratio [HR] 3.80; 95% confidence interval [CI] 3.02-4.78; p < 0.0001). OS in patients with the low- and high-risk SD was comparable to that in patients with the CT-defined partial response (PR; HR 1.10; 95% CI 0.898-1.34) and progressive disease (PD) (HR 1.05; 95% CI 0.621-1.77), respectively. The findings were similar with PFS, and consistent across treatment arms.

CONCLUSIONS

Biomarker testing shows potential for providing prognostic information to help direct treatment in NSCLC patients with SD. Prospective clinical studies are warranted.ClinicalTrials.gov: NCT02366143.

Advances in Predictive Biomarkers for Anti-Angiogenic Therapy in Non-Small Cell Lung Cancer

This study aimed to explore advances in biomarkers related to anti-angiogenic therapy in patients with non-small cell lung cancer (NSCLC), thereby enhancing treatment selection, advancing personalized and precision medicine to improve treatment outcomes and patient survival rates. This article reviews key discoveries in predictive biomarkers for anti-angiogenic therapy in NSCLC in recent years, such as (1) liquid biopsy predictive biomarkers: studies have identified activated circulating endothelial cells (aCECs) via liquid biopsy as potential predictive biomarkers for the efficacy of anti-angiogenic therapy; (2) imaging biomarkers: advanced imaging technologies, such as dynamic contrast-enhanced integrated magnetic resonance positron emission tomography (MR-PET), are used to assess tumor angiogenesis in patients with NSCLC and evaluate the clinical efficacy of anti-angiogenic drugs; (3) genetic predictive biomarkers: research has explored polymorphisms of Vascular Endothelial Growth Factor Receptor-1 (VEGFR-1) and vascular endothelial growth factor-A (VEGF-A), as well as how plasma levels of VEGF-A can predict the outcomes and prognosis of patients with non-squamous NSCLC undergoing chemotherapy combined with bevacizumab. Despite progress in identifying biomarkers related to anti-angiogenic therapy, several challenges remain, including limitations in clinical trials, heterogeneity in NSCLC, and technical hurdles. Future research will require extensive clinical validation and in-depth mechanistic studies to fully exploit the potential of these biomarkers for personalized treatment.

[Correlation Analysis between Thyroid Function Abnormality and Efficacy in Patients with Advanced Non-small Cell Lung Cancer after Immunotherapy]

BACKGROUND

Thyroid function abnormality (TFA) is one of the common adverse reactions in patients with advanced non-small cell lung cancer (NSCLC) treated with immunotherapy, but the risk factors of TFA and its relationship with efficacy are not completely clear. The purpose of this study was to explore the risk factors of TFA and its relationship with efficacy in patients with advanced NSCLC after immunotherapy.

METHODS

The general clinical data of 200 patients with advanced NSCLC in The First Affiliated Hospital of Zhengzhou University from July 1, 2019 to June 31, 2021 were collected and analyzed retrospectively. χ² test and multivariate Logistic regression were used to explore the risk factors of TFA. Kaplan-Meier curve was drawn and Log-rank test was used for comparison between groups. Univariate and multivariate Cox analysis was used to explore the efficacy factors.

RESULTS

A total of 86 (43.0%) patients developed TFA. Logistic regression analysis showed that Eastern Cooperative Oncology Group Performance Status (ECOG PS), pleural effusion and lactic dehydrogenase (LDH) were factors influencing TFA (P<0.05). Compared with normal thyroid function group, the median progression-free survival (PFS) of patients in the TFA group was significantly longer (19.0 months vs 6.3 months, P<0.001), and the objective response rate (ORR) (65.1% vs 28.9%, P=0.020) and disease control rate (DCR) (100.0% vs 92.1%, P=0.020) of the TFA group were better than those of the normal thyroid function group. Cox regression analysis showed that ECOG PS, LDH, cytokeratin 19 fragment (CYFRA21-1) and TFA were factors influencing prognosis (P<0.05).

CONCLUSIONS

ECOG PS, pleural effusion and LDH may be risk factors affecting the occurrence of TFA and TFA may be a predictor of the efficacy of immunotherapy. Patients with advanced NSCLC who have TFA after immunotherapy may obtain better efficacy.

Circulating Tumor DNA correlates with Lactate Dehydrogenase, CYFRA 21-1, and CRP levels in patients with advanced NSCLC

Purpose: To investigate potential association between selected tumor markers and laboratory parameters (lactate dehydrogenase [LDH], neutrophils, hemoglobin, neutrophils, lymphocytes, C-reactive protein, albumin, carcinoembryonic antigen, and cytokeratin 19 fragment 21-1 [CYFRA 21-1]) and circulating tumor DNA (ctDNA) with survival in patients with advanced non-small cell lung cancer (NSCLC). Patients and Methods: The study encompassed 82 patients from a single center. All patients had (localy-) advanced adenocarcinomas. ctDNA was determined before starting therapy and at 6 weeks follow-up. Laboratory parameters were measured before each cycle of therapy and oncomarkers before starting the therapy as standard clinical practice. Mann-Whitney U test, Cox proportional hazards model, Fisher's exact test, and Kaplan-Meier survival estimation with Gehan-Wilcoxon test were used for statistical analysis of the corresponding variables. Results: We have confirmed predictive or prognostic significance for some of the selected laboratory markers and oncomarkers. Above all, we demonstrate a significant relationship between the levels of LDH and the oncomarker CYFRA 21-1 and the presence or absence of ctDNA at the time of diagnosis. We also demonstrate significantly lower CRP levels in patients within whom the ctDNA disappeared during treatment. A similar but statistically insignificant trend was observed for LDH. Conclusions: CYFRA 21-1, LDH and probably CRP correlate with ctDNA levels in NSCLC. Repeated measurement of these markers could thus help in early detection of disease progression in the same way as does ctDNA monitoring.

[Predictive Value of LIPI and iSEND Immune Scoring System in Immunotherapy of Advanced Non-small Cell Lung Cancer]

BACKGROUND

This study retrospectively analyzed the application value of lung cancer immunotherapy prognostic index (LIPI) and iSEND immune scoring system in advanced non-small cell lung cancer (NSCLC) patients treated with immunotherapy in China, in order to find guidance for clinical development of NSCLC treatment plan.

METHODS

The clinical data of 178 patients with advanced NSCLC treated with immunotherapy were analyzed retrospectively. LIPI and iSEND immune scores were performed, receiver operating characteristic (ROC) curves were drawn, and the predictive values of two models for objective response rate (ORR), disease control rate (DCR), and progression-free survival (PFS) were compared. Kaplan-Meier method was used for survival analysis, and Cox regression analysis method was used for univariate analysis and multivariate analysis.

RESULTS

The area under the curver (AUC) of ORR, DCR and PFS predicted by iSEND immune score were 0.616, 0.634 and 0.631 respectively; LIPI were 0.789, 0.750 and 0.732 respectively, which were higher than iSEND immune score (P<0.05). The median PFS of patients in LIPI score groups 0, 1 and 2 were 9.9 months, 6.1 mon and 3.7 mon respectively; The median PFS of patients with good, moderate and poor iSEND immune scores were 9.9 mon, 7.0 mon and 3.5 mon respectively, with statistically significant differences (P<0.001). In the immunotherapy subgroup, the median PFS of patients with different LIPI and iSEND immune scores was also statistically significant. Cox regression analysis showed that the derived neutrophil to lymphocyte ratio (dNLR), lactic dehydrogenase (LDH) and PFS were independently correlated (P<0.05).

CONCLUSIONS

LIPI and iSEND immune scoring system can effectively predict the efficacy and prognosis of advanced NSCLC treated with immunotherapy, and LIPI has higher predictive value than iSEND immune scoring system.

Prognostic assessment of C‑reactive protein and neutrophil to lymphocyte ratio in patients with non-small cell lung cancer

OBJECTIVE

To investigate the prognostic assessment of inflammatory factor serum C‑reactive protein CRP and neutrophil to lymphocyte ratio NLR value in patients with non-small cell lung cancer NSCLC.

METHODS

A retrospective analysis was conducted for 475 patients with NSCLC who visited our hospital with complete follow-up data from January 2017 to 1 January 2019. The changes of serum CRP, NLR levels in patients with NSCLC of different stages, as well as the changes in the levels of the two indexes before and after chemotherapy in patients with advanced stage were compared using t tests with SPSS19.0 software. Serum CRP and NLR were divided into low and high groups with median intercept values and the relationship between inflammation score index and tumor progression-free survival time (PFS) was analyzed retrospectively. Clinical factors that may affect disease prognosis were included in the proportional hazards (COX) regression model for multifactorial prognostic analysis.

RESULTS

Pretreatment serum levels of NLR and CRP were significantly higher in non-operated patients relative to preoperative levels in surgical patients. Advanced patients had higher levels of both indexes than locally advanced patients. After chemotherapy, the levels of the two indexes reaching remission were significantly lower than those before chemotherapy. The levels of the two indexes in patients with stable disease after chemotherapy were not statistically significant compared with those before chemotherapy, and the levels of the two indexes in the group with progressive disease after chemotherapy were significantly higher than those before chemotherapy. The results of PFS survival analyses showed that PFS was prolonged in the low score CRP and the low score NLR group, compared with the high score group. Multifactorial prognostic analysis showed that smoking, CRP and NLR were risk factors for PFS prognosis in patients with NSCLC.

CONCLUSION

Serum CRP and NLR are effective predictors of poor prognosis in patients with NSCLC.