Tumor metabolic and secondary lymphoid organ metabolic markers on 18F-fludeoxyglucose positron emission tomography predict prognosis of immune checkpoint inhibitors in advanced lung cancer

Molecular imaging using 18F-FDG PET/CT and circulating inflammatory and immune indicators to predict pathological response to neoadjuvant camrelizumab plus chemotherapy in resectable stage IIIA-IIIB NSCLC

OBJECTIVE

This study aims to predict the pathological response of patients with non-small cell lung cancer (NSCLC) in prospective trials of neoadjuvant camrelizumab combined with chemotherapy by integrating the clinical characteristics, PET-associated parameters, and hematological indicators.

METHODS

A prospective analysis was conducted among 24 patients undergoing surgery after neoadjuvant camrelizumab plus chemotherapy. 18F-Fluorodeoxyglucose (FDG) scans were performed before and after neoadjuvant therapy (pre-NAT, post-NAT). Tumor and secondary lymphoid organ metabolic parameters, along with circulating inflammatory and immune indicators, were measured and correlated with pathological response. Receiver operating characteristic (ROC) curve was used to assess biomarkers' predictive accuracy.

RESULTS

Major pathological response (MPR) and pathological complete response (pCR) were achieved in 45.8% (11/24) and 33.3% (8/24) of patients. Before treatment, patients who achieved a pCR had significantly greater SUVmax values (p = 0.011) than non-pCR patients. After treatment, the MPR group exhibited significantly lower SUVmax values than the non-MPR group (p = 0.048). The rate of change in the SUVmax (ΔSUVmax%) differed significantly between the pCR and non-pCR groups (p = 0.019) and between the MPR and non-MPR groups (p = 0.013). After NAT, the lymph nodes' SUVmax in the ypN0 group was significantly lower than that in the ypN + group (p = 0.032). ROC analysis indicated that pre-NAT SUVmax and ΔSUVmax% best distinguished pCR and MPR patients, respectively, with AUCs of 0.82 (p = 0.012) and 0.80 (p = 0.014).

CONCLUSION

Pre-NAT SUVmax, and ΔSUVmax% are promising biomarkers for predicting pathological response to neoadjuvant camrelizumab and chemotherapy.

CLINICALTRIALS

GOV ID

NCT06241807.

Predictive value of longitudinal systemic inflammatory markers for pathologic response to neoadjuvant PD-1 blockade in resectable non-small cell lung cancer

BACKGROUND

Identifying biomarkers to predict responses for neoadjuvant immunotherapy in resectable non-small cell lung cancer (NSCLC) is under intensive study. Considering the interplay between cancer, inflammation, and immunosuppression, we hypothesized that circulating and imaging inflammatory markers could serve as indicators of anti-tumor immune responses, and thus conducting an exploratory study to reveal the predictive value of combining longitudinal systemic inflammatory markers in stratifying pathologic response to neoadjuvant sintilimab.

METHODS

We retrospectively reviewed 36 patients (29 male and seven female) with NSCLC (stage IA-IIIB) who underwent pre- and post-treatment peripheral blood tests and 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) scans before and after two cycles of neoadjuvant sintilimab (registration number: ChiCTR-OIC-17013726). The neutrophil-to-lymphocyte ratio (NLR), immune-related adverse events (irAEs) on imaging, and lymphoid organ metabolism [spleen-to-liver ratio (SLR) and bone marrow-to-liver ratio (BLR)] were evaluated to examine their predictive value for the major pathologic response (MPR). Significant variables were used to classify patients into low, intermediate, and high inflammatory burden groups for stratifying pathologic regression and tumor-infiltrating immune cells abundance in the tumor microenvironment. Spearman's correlation analysis was performed to explore the correlation between systemic inflammatory markers, primary tumor metabolism, and tumor-infiltrating immune cells abundance at various time points.

RESULTS

Of the 36 enrolled patients, 13 (36.1%) exhibited MPR. ΔNLR% was a significant negative predictor of MPR (P=0.047) and negatively correlated with pathologic regression (r=-0.34, P=0.045). Pre- and post-treatment SLRs were potential negative predictors of MPR (P=0.06; P=0.055) and negatively correlated with pathologic regression (r=-0.30, P=0.07; r=-0.31, P=0.06). The high inflammatory burden group (pre-treatment SLR >0.83 and ΔNLR% >-17%) had the lowest pathologic regression (P=0.01) and the highest infiltration abundance of pre-treatment CD68+ macrophage (P=0.01-0.04). irAEs on imaging did not have significant effects on MPR and pathologic regression in overall and per-organ analyses.

CONCLUSIONS

The combination of pre-treatment SLR and ΔNLR% demonstrates predictive value in stratifying pathologic response to neoadjuvant immunotherapy in resectable NSCLC. The high inflammatory burden group had the lowest pathologic regression and the pre-treatment immunosuppressive microenvironment with macrophage enrichment.

FDG-PET/CT is a powerful tool to predict and evaluate response to chimeric antigen receptor (CAR) T-cell therapy in Non-Hodgkin-Lymphoma (NHL)

Chimeric antigen receptor (CAR) T-cell therapy has dramatically shifted the landscape of treatment especially for Non-Hodgkin-Lymphoma (NHL). This study evaluates the role of fluorodeoxyglucose (FDG)-positron emission tomography/computed tomography (PET/CT) in NHL treated with CAR T-cell therapy concerning response assessment and prognosis.We evaluated 34 patients with NHL who received a CAR T-cell therapy between August 2019 and July 2022. All patients underwent a pre-therapeutic FDG-PET/CT (PET-0) 6 days prior and a post-therapeutic FDG-PET/CT (PET-1) 34 days after CAR T-cell therapy. Deauville score (DS) was used for evaluation of response to therapy and compared to a minimum follow-up of 5 months.19/34 (55.9%) patients achieved DS ≤ 3 on PET-1, the remaining 15 (44.1%) patients had DS > 3 on PET-1. 14/19 patients with DS ≤ 3 on PET-1 had no relapsed or refractory (r/r)-disease and were still alive at last follow-up. The other 5 patients had r/r-disease and 4 of these died. Except for two patients who had no r/r-disease, all other patients (13/15) with DS > 3 on PET-1 had r/r-disease and 12 of these subsequently died. Patients with DS ≤ 3 on PET-1 had significantly better progression free survival (PFS; HR: 5.7; p < 0.01) and overall survival (OS; HR: 5.0; p < 0.01) compared to patients with DS > 3 on PET-1. In addition, we demonstrated that patients with DS ≤ 4 on PET-0 tended to have longer PFS (HR: 3.6; p = 0.05).Early FDG-PET/CT using the established DS after CAR T-cell therapy is a powerful tool to evaluate response to therapy.

The regulatory roles and clinical significance of glycolysis in tumor

Metabolic reprogramming has been demonstrated to have a significant impact on the biological behaviors of tumor cells, among which glycolysis is an important form. Recent research has revealed that the heightened glycolysis levels, the abnormal expression of glycolytic enzymes, and the accumulation of glycolytic products could regulate the growth, proliferation, invasion, and metastasis of tumor cells and provide a favorable microenvironment for tumor development and progression. Based on the distinctive glycolytic characteristics of tumor cells, novel imaging tests have been developed to evaluate tumor proliferation and metastasis. In addition, glycolytic enzymes have been found to serve as promising biomarkers in tumor, which could provide assistance in the early diagnosis and prognostic assessment of tumor patients. Numerous glycolytic enzymes have been identified as potential therapeutic targets for tumor treatment, and various small molecule inhibitors targeting glycolytic enzymes have been developed to inhibit tumor development and some of them are already applied in the clinic. In this review, we systematically summarized recent advances of the regulatory roles of glycolysis in tumor progression and highlighted the potential clinical significance of glycolytic enzymes and products as novel biomarkers and therapeutic targets in tumor treatment.