The effect of chronoradiotherapy on cervical cancer patients: A multicenter randomized controlled study

Association of the time of day of chemoradiotherapy and durvalumab with tumor control in lung cancer

BACKGROUND/PURPOSE

The circadian clock governs the expression of genes related to immunity and DNA repair. We investigated whether the time of day of radiotherapy and/or systemic therapy infusions (chemotherapy or anti-PD-L1) are associated with disease control and survival in locally advanced non-small cell lung cancer (LA-NSCLC).

MATERIALS/METHODS

178 consecutive patients with inoperable LA-NSCLC who received definitive chemoradiotherapy followed by durvalumab between 5/2017-8/2022 were reviewed. Outcomes evaluated included progression-free survival (PFS), distant metastasis-free survival (DMFS), locoregional control (LRC), and overall survival (OS).

RESULTS

At a median follow up of 48.0 mo from durvalumab initiation, median PFS and OS were 26.2 mo and 50.0 mo, respectively. Median LRC and DMFS were not reached and 41.0 mo, respectively. Receiving > 50 % (N = 23) versus ≤ 50 % (N = 155) of radiotherapy treatments within 3 h of sunset was associated with younger age; otherwise, there were no other differences between cohorts. There were no significant differences in characteristics between patients who received > 50 % (N = 23) versus ≤ 50 % (N = 155) of durvalumab infusions within 3 h of sunset. On multivariable analysis, receiving > 50 % of radiotherapy treatments within 3 h of sunset was independently associated with reduced risk for progression (HR 0.39, p = 0.017) and distant metastasis (HR 0.27, p = 0.007); conversely, receiving > 50 % of durvalumab infusions within 3 h of sunset was independently associated with increased risk for distant metastasis (HR 2.13, p = 0.025). The timing of chemotherapy was not associated with disease outcomes.

CONCLUSION

The time of day of radiotherapy and durvalumab infusion may be associated with disease control in LA-NSCLC, and the optimal time of treatment depends on the treatment modality.

Establishment of a prognostic nomogram based on the clinical and inflammatory parameters as well as acute radiation enteritis for patients with cervical cancer receiving radiotherapy

Objective

Acute radiation enteritis is one of the most common complications of radiotherapy for patients with cervical cancer. This study aims to investigate the effect of acute radiation enteritis on the prognosis of patients with cervical cancer receiving radiotherapy and to establish a nomogram predicting the patients' overall survival (OS).

Methods

The clinical data of 288 patients with cervical cancer who were admitted to our department from 2014 to 2020 were retrospectively analyzed, and the survival of patients were followed up. The Kaplan-Meier method was used to calculate the survival rate and for univariate analysis, and the Cox regression model was used for multivariate prognostic analysis. A nomogram survival prediction model was established based on independent risk factors, and the concordance index (C-index), receiver operating characteristic (ROC) curve and calibration curve were used to evaluate the predictive accuracy of the model. The clinical applicability of the model was assessed by the decision curve. External validation of the nomogram prediction model was performed in 74 patients admitted to our hospital from 2020 to 2021.

Results

60 patients (20.8%) developed grade 2 or higher acute radiation enteritis. The 1-, 3-, and 5-year OS rates were 94.4%, 80.9%, and 77.4%, respectively. Multivariate Cox regression analysis showed that: Age ≥ 60 years, diabetes/hypertension, anemia, FIGO stage III-IV, poor differentiation, pelvic lymph node metastasis, NLR ≥ 2.54 and grade 2 or higher acute radiation enteritis were independent risk factors for OS in cervical cancer patients undergoing radiotherapy (P < 0.05). The C-index of OS nomogram model was 0.815 (95% CI: 0.766-0.864). The AUC of 3-year and 5-year OS were 0.849 (95%CI: 0.789-0.909) and 0.840 (95%CI: 0.782-0.899), respectively. The AUC value of 3-year OS in the external validation set was 0.779 (95%CI: 0.635-0.922). The calibration curve showed that the model was well calibrated, and the decision curve verified the clinical applicability of the constructed nomogram.

Conclusion

This study established an accurate predicting nomogram based on independent prognostic factors in cervical cancer patients receiving radiotherapy, and patients with grade 2 or higher acute radiation enteritis should be paid more attention to in clinical practice.

Nomogram Predicting Grade ≥2 Acute Radiation Enteritis in Patients With Cervical Cancer Receiving Concurrent Chemoradiotherapy

OBJECTIVE

To analyze the risk factors for grade ≥2 ARE in patients with cervical cancer receiving concurrent chemoradiotherapy.

METHODS

A total of 273 patients with cervical cancer receiving concurrent chemoradiotherapy at our hospital were retrospectively enrolled. The patients were divided into training and validation groups. Clinical parameters were analyzed using univariate analysis and multivariate logistic regression analysis. A nomogram model was established based on the independent risk factors selected using multivariate logistic regression. The areas under the receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis (DCA) were used to evaluate the nomogram. The patients were divided into low-score and high-score groups based on the scores calculated using the nomogram model and compared.

RESULTS

Malnutrition, monocyte-lymphocyte ratio ≥0.82 after radiotherapy, platelet-lymphocyte ratio <307.50 after radiotherapy, and bowelbag volume receiving at least 5 and 40 Gy were independent risk factors for grade ≥2 ARE and were incorporated into the nomogram ( P <0.05). The ROC curve, calibration curve, and DCA suggested that the nomogram had good discrimination, concordance, and net benefit in the clinical. A medium nomogram score of 146.50 points was used as the cutoff point, and the incidence of grade ≥2 ARE in the high-score group was higher than that in the low-score group ( P <0.05).

CONCLUSION

The nomogram model for grade ≥2 ARE has good predictive ability and clinical utility, and is convenient for clinicians to identify high-risk groups and develop early prevention and treatment strategies.

Chronobiology of the Tumor Microenvironment: Implications for Therapeutic Strategies and Circadian-Based Interventions

Numerous research works have emphasized the critical role that circadian rhythm plays in the tumor microenvironment (TME). The goal of clarifying chrono-pharmacological strategies for improving cancer treatment in clinical settings is a continuous endeavor. Consequently, to enhance the use of time-based pharmaceutical therapies in oncology, combining existing knowledge on circadian rhythms' roles within the TME is essential. This perspective elucidates the functions of circadian rhythms in the TME across various stages of cancer development, progression, and metastasis. Specifically, aging, angiogenesis, and inflammation are implicated in modulating circadian rhythm within the TME. Furthermore, circadian rhythm exerts a profound influence on current cancer treatments and thereby generates chronotheray to manage tumors. From a TME perspective, circadian rhythm offers promising opportunities for cancer prevention and treatment; nevertheless, further study is needed to address unanswered scientific problems.

Analysis of nutritional risk, skeletal muscle depletion, and lipid metabolism phenotype in acute radiation enteritis

BACKGROUND

Radiation enteritis, which often occurs during radiation-induced acute intestinal symptoms (RIAIS), is the most common and important complication during radiotherapy for cervical cancer. RIAIS caused by abdominal and pelvic radiotherapy will affect nutrient intake, digestion, absorption, and metabolism, leading to malnutrition or poorer nutritional status. In patients with malignant tumors, malnutrition can adversely affect the curative effect and response of radiotherapy by reducing radiosensitivity, affecting the precision of radiotherapy placement and increasing the incidence of radiotherapy-related adverse reactions.

AIM

To analyze nutritional risk, skeletal muscle depletion, and lipid metabolism phenotype in acute radiation enteritis.

METHODS

Fifty patients with cervical cancer received external beam radiotherapy, and 15 patients received brachytherapy after external beam radiotherapy. Body weight, body composition parameters, nutritional risk screening (NRS) 2002 score, and blood biochemical indices of patients with cervical cancer during periradiation were tested by a one-way repeated measures analysis of variance. Metabolomics analysis was used to identify characteristic lipid metabolism pathways. Clinical factors that affect linoleic acid changes were screened using the generalized evaluation equation.

RESULTS

Among the 50 patients, 37 had RIAIS, including 34 patients with grade 1-2 RIAIS and 3 patients with grade 3 RIAIS. The NRS 2002 score of patients who underwent cervical cancer radiotherapy continued to increase during the periradiation period, and 42 patients who underwent cancer radiotherapy had nutritional deficits (NRS 2002 score ≥ 3 points) at the end of radiotherapy. Correlation analyses revealed that body weight and body mass index changes were closely associated with body fat content (R2 = 0.64/0.51). The results of the univariate analysis showed that radiotherapy time, percentage reduction of serum albumin, and percentage reduction of serum prealbumin were the key factors affecting skeletal muscle exhaustion (P < 0.05). Metabolomic analysis of fecal supernatants of cervical cancer patients during the periradiation period revealed the involvement of linoleic acid, cholic acid, arachidonic acid, and N-acetyl-L-benzene alanine in the metabolic pathway of linoleic acid.

CONCLUSION

Cervical cancer radiotherapy patients faced nutritional risks, decreased serum albumin synthesis, and increased risk of skeletal muscle exhaustion. Linoleic acid was a biomarker of high nutritional risk.