Unpleasant symptoms of immunotherapy for people with lung cancer: A mixed-method study

Postoperative symptom network analysis in non-small cell lung cancer patients: a cross-sectional study

OBJECTIVE

To investigate the incidence and severity of symptoms in postoperative non-small-cell lung cancer patients undergoing thoracoscopic surgery, construct a symptom network, and analyze centrality indicators of the network to identify core symptoms and provide a basis for precise symptom management.

METHODS

A convenience sampling method was used to select postoperative NSCLC patients from the Department of Thoracic Surgery at the First Affiliated Hospital of Army Medical University between September 2024 and December 2024. The Chinese version of the Anderson Symptom Inventory Core Symptom Module and the revised Lung Cancer-Specific Symptom Module were used to survey the incidence and severity of symptoms. A symptom network was constructed with R software with the EBICgloss function and Spearman correlation analysis, and the centrality indicators were then calculated.

RESULTS

In total, 404 questionnaires were distributed, and 367 valid questionnaires were returned (effective response rate, 90.8%). The top three symptoms in terms of incidence and severity during the postoperative hospitalization of NSCLC patients were pain (100%), fatigue (99%), and shortness of breath (98%). The results of the centrality indicators of the symptom network revealed that the top three symptoms in terms of strength centrality were shortness of breath (rs = 5.44), fatigue (rs = 5.43), and pain (rs = 5.34).

CONCLUSION

Postoperative NSCLC patients experience various symptoms, with shortness of breath being the core symptom. Targeted intervention strategies are needed to improve the efficiency and accuracy of symptom management, reduce the symptom burden on patients, and increase their quality of life.

CLINICAL TRIAL REGISTRATION

Chinese Clinical Trial Registry (NO. ChiCTR2500096720), registered on 5 February 2025, retrospectively registered.

Symptom clusters and their impacts on the quality of life of patients with lung cancer receiving immunotherapy: A cross-sectional study

AIM

The objective of this study was to identify symptom clusters in lung cancer patients receiving immunotherapy and explore their impact on the quality of life of patients.

BACKGROUND

Immunotherapy is widely used in lung cancer; however, there is little understanding of symptom clusters and their impacts on the quality of life of this population.

DESIGN

Cross-sectional study.

METHODS

The survey contained the Memorial Symptom Assessment Scale (MSAS), Quality of Life Questionnaire-Lung Cancer 43 and a self-designed General Information Evaluation Form. Symptom clusters were identified using exploratory factor analysis (EFA) based on the symptom scores. Spearman correlation analysis was performed to evaluate the associations between each symptom cluster and the patients' quality of life. Multiple linear regression analysis was employed to examine the impact of the symptom clusters on quality of life. This study adhered to the STROBE guidelines.

RESULTS

In total, 240 participants completed the survey. Five symptom clusters were identified and named according to their characteristics: emotional-related symptom cluster, lung cancer-related symptom cluster, physical symptom cluster, skin symptom cluster and neural symptom cluster. All symptom clusters, except for the neural symptom cluster, had a significantly detrimental impact on patient quality of life.

CONCLUSION

Lung cancer patients undergoing immunotherapy experience a range of symptoms, which can be categorized into five clusters. These symptom clusters have a negative impact on patients' quality of life. Future research should focus on developing interventions for each symptom cluster and their influencing factors.

PATIENT OR PUBLIC CONTRIBUTION

In the data collection phase, lung cancer patients undergoing immunotherapy were recruited to participate in the survey.

Structural equation modeling of hope, psychological distress, quality of life, and influencing factors in advanced cancer patients undergoing cancer pharmacotherapy in Japan

OBJECTIVE

The purpose of this study was to clarify the relationship between hope, psychological distress, and quality of life (QOL) of patients with advanced cancer undergoing cancer pharmacotherapy and their related factors.

METHODS

Participants were patients with advanced lung, colorectal, and breast cancer undergoing outpatient pharmacotherapy. The Herth Hope Index, Hospital Anxiety and Depression Scale, and Functional Assessment of Cancer Therapy-General were used as measurement tools in a cross-sectional survey. Data were analyzed using descriptive statistics, correlation analysis, t-test, one-way analysis of variance (ANOVA), and Structural Equation Modeling (SEM).

RESULTS

The number of valid responses to the questionnaire survey was 200 (91.7%). SEM included hope, psychological distress, QOL, social support, economic deprivation, physical symptoms, and performance status. The goodness of fit index for SEM was 0.989, adjusted goodness of fit index was 0.960, comparative fit index was 1.000, and root mean square error of approximation was 0.001. Hope had a negative impact on psychological distress (β = - 0.46) and a positive impact on QOL (β = .19).

CONCLUSION

Hope was shown to be a predictor of psychological distress and QOL in patients with advanced cancer receiving pharmacotherapy. Predictors of hope were social support and economic deprivation. The results suggest that early intervention for patients with characteristics that tend to lower levels of hope is effective in reducing patient anxiety and depression and improving QOL.

Remote symptom monitoring with patient-reported outcomes and nudges during lung cancer immunotherapy in China (PRO-NET): protocol for a randomised controlled trial

INTRODUCTION

Lung cancer is the leading cause of cancer-related mortality globally, with non-small cell lung cancer (NSCLC) comprising the majority of cases. For advanced NSCLC, immunotherapy offers substantial survival benefits but is often accompanied by severe immune-related adverse events symptoms, significantly affecting health-related quality of life (HRQoL). Routinely collection of patient-reported outcomes (PROs) followed by automated alerts has been shown to improve overall survival and HRQoL for cancers. However, there is limited evidence for PRO-based symptom monitoring on advanced NSCLC during immunotherapy. This study proposes an electronic PRO-based symptom tracking intervention, integrated with reactive alerts and nudges (PRO-NET) to improve HRQoL for advanced NSCLC patients receiving immunotherapy in China. Secondary objectives include assessing the effect of PRO-symptom monitoring on survival, physical function, symptom control, mental health, cost-effectiveness and implementation fidelity.

METHODS AND ANALYSIS

The PRO-NET study is a two-arm, parallel randomised controlled trial. The study will enrol at least 300 advanced NSCLC patients undergoing immunotherapy in China. Participants will be randomly assigned to either the intervention or control group in a ratio of 1:1 via PRO-NET programme. The intervention involves weekly electronic collection of immune-related PROs and reactive alerts sent directly to patients, combined with nudges over a 6-month period. Patients in the control group will follow usual care and will not trigger the alerts. Both the intervention and control groups will receive outcome assessments at baseline, 3 months and 6 months. Primary outcome focuses on HRQoL, while secondary outcomes include survival, physical function, symptom burden, mental health, cost-effectiveness and implementation fidelity. Differences in HRQoL between the groups will be compared using general linear mixed model, accounting for potential confounding.

ETHICS AND DISSEMINATION

The study was approved by the Institutional Review Board of the Peking University protocol on 21 July 2024 (No. IRB 00001052-24066). This protocol is based on V2.0, 6 July 2024 of the protocol. The results of this study will be disseminated through peer-reviewed publications and academic conferences.

TRIALS REGISTRATION NUMBER

ChiCTR2400088408.

Pyroptosis in lung cancer: The emerging role of non-coding RNAs

Lung cancer remains an intractable malignancy worldwide, prompting novel therapeutic modalities. Pyroptosis, a lethal form of programmed cell death featured by inflammation, has been involved in cancer progression and treatment response. Simultaneously, non-coding RNA has been shown to have important roles in coordinating pattern formation and oncogenic pathways, including long non-coding RNA (lncRNAs), microRNA (miRNAs), circular RNA (circRNAs), and small interfering RNA (siRNAs). Recent studies have revealed that ncRNAs can promote or inhibit pyroptosis by interacting with key molecular players such as NLRP3, GSDMD, and various transcription factors. This dual role of ncRNAs offers a unique therapeutic potential to manipulate pyroptosis pathways, providing opportunities for innovative cancer treatments. In this review, we integrate current research findings to propose novel strategies for leveraging ncRNA-mediated pyroptosis as a therapeutic intervention in lung cancer. We explore the potential of ncRNAs as biomarkers for predicting patient response to treatment and as targets for overcoming resistance to conventional therapies.

Nanoscale Extracellular Vesicle-Enabled Liquid Biopsy: Advances and Challenges for Lung Cancer Detection

Lung cancer is responsible for the death of over a million people worldwide every year. With its high mortality rate and exponentially growing number of new cases, lung cancer is a major threat to public health. The high mortality and poor survival rates of lung cancer patients can be attributed to its stealth progression and late diagnosis. For a long time, intrusive tissue biopsy has been considered the gold standard for lung cancer diagnosis and subtyping; however, the intrinsic limitations of tissue biopsy cannot be overlooked. In addition to being invasive and costly, it also suffers from limitations in sensitivity and specificity, is not suitable for repeated sampling, provides restricted information about the tumor and its molecular landscape, and is inaccessible in several cases. To cope with this, advancements in diagnostic technologies, such as liquid biopsy, have shown great prospects. Liquid biopsy is an innovative non-invasive approach in which cancer-related components called biomarkers are detected in body fluids, such as blood, urine, saliva and others. It offers a less invasive alternative with the potential for applications such as routine screening, predicting treatment outcomes, evaluating treatment effectiveness, detecting residual disease, or disease recurrence. A large number of research articles have indicated extracellular vesicles (EVs) as ideal biomarkers for liquid biopsy. EVs are a heterogeneous collection of membranous nanoparticles with diverse sizes, contents, and surface markers. EVs play a critical role in pathophysiological states and have gained prominence as diagnostic and prognostic biomarkers for multiple diseases, including lung cancer. In this review, we provide a detailed overview of the potential of EV-based liquid biopsy for lung cancer. Moreover, it highlights the strengths and weaknesses of various contemporary techniques for EV isolation and analysis in addition to the challenges that need to be addressed to ensure the widespread clinical application of EV-based liquid biopsies for lung cancer. In summary, EV-based liquid biopsies present interesting opportunities for the development of novel diagnostic and prognostic platforms for lung cancer, one of the most abundant cancers responsible for millions of cancer-related deaths worldwide.

Patients' experiences of cancer immunotherapy with immune checkpoint inhibitors: A systematic review and thematic synthesis

AIM

To obtain a deeper understanding of peoples' experiences of cancer treatments with immune checkpoint inhibitors (ICIs).

BACKGROUND

ICIs are transforming survival outcomes for many with certain advanced cancers. Given the possibility of unique immune-related adverse events (irAEs), understanding treatment experiences is crucial to identify support needs and provide safe and effective person-centred care.

DESIGN

A systematic review of qualitative research and thematic synthesis. To report this review, the Preferred Reporting Items for Systematic Analysis and Meta Analysis (PRISMA) checklist and Enhancing Transparency in Reporting the Synthesis of Qualitative Research (ENTREQ) guidance have been used.

DATA SOURCES

MEDLINE, EMBASE, PsycINFO, CINAHL and Web of Science databases were searched in January 2022 for eligible studies published in English from database inception.

REVIEW METHODS

Two reviewers independently screened records, identified papers for inclusion and appraised methodological quality using the Critical Appraisal Skills Programme checklist. Themes were developed using thematic synthesis.

RESULTS

Eighteen papers were included and three analytical themes developed: immune checkpoint inhibitor treatment decision-making; the experience and impact of immune checkpoint inhibitor treatments; and appraising and responding to irAEs.

CONCLUSION

The synthesis renders visible individuals' unmet information, psychological and practical support needs. It identifies shortcomings in immune checkpoint inhibitor treatment decision-making processes and highlights the need for healthcare professionals to recognise and sensitively handle individuals' treatment expectations. Individuals' understandings of and responses to irAEs are also illustrated, and attention drawn to patients' concerns about healthcare professionals' checkpoint inhibitor and irAEs knowledge.

IMPLICATIONS FOR PATIENT CARE

To sensitively manage treatment expectations and uncertainties, and optimise health outcomes, there are distinct points in treatment trajectories where care and support might require adapting and enhancing.

IMPACT

This review addresses people's experiences of immune checkpoint inhibitor treatments. The core findings reveal unmet information, psychological and practical support needs. Insights derived from this review will enhance individuals' experiences and outcomes and healthcare professionals' practice.

PATIENT OR PUBLIC CONTRIBUTION

No patient or public involvement.

lncRNAs and cyclin-dependent kinases: Unveiling their critical roles in cancer progression

Long non-coding RNAs (lncRNAs) are a diverse class of RNA molecules that do not code for proteins but play critical roles in gene regulation. One such role involves the modulation of cell cycle progression and proliferation through interactions with cyclin-dependent kinases (CDKs), key regulators of cell division. Dysregulation of CDK activity is a hallmark of cancer, contributing to uncontrolled cell growth and tumor formation. These lncRNA-CDK interactions are part of a complex network of molecular mechanisms underlying cancer pathogenesis, involving various signaling pathways and regulatory circuits. Understanding the interplay between lncRNAs, CDKs, and cancer biology holds promise for developing novel therapeutic strategies targeting these molecular targets for more effective cancer treatment. Furthermore, targeting CDKs, key cell cycle progression and proliferation regulators, offers another avenue for disrupting cancer pathways and overcoming drug resistance. This can open new possibilities for individualized treatment plans and focused therapeutic interventions.

Metabolic underpinnings of cancer-related fatigue

Cancer-related fatigue (CRF) is one of the most prevalent and detrimental complications of cancer. Emerging evidence suggests that obesity and insulin resistance are associated with CRF occurrence and severity in cancer patients and survivors. In this narrative review, we analyzed recent studies including both preclinical and clinical research on the relationship between obesity and/or insulin resistance and CRF. We also describe potential mechanisms for these relationships, though with the caveat that because the mechanisms underlying CRF are incompletely understood, the mechanisms mediating the association between obesity/insulin resistance and CRF are similarly incompletely delineated. The data suggest that, in addition to their effects to worsen CRF by directly promoting tumor growth and metastasis, obesity and insulin resistance may also contribute to CRF by inducing chronic inflammation, neuroendocrinological disturbance, and metabolic alterations. Furthermore, studies suggest that patients with obesity and insulin resistance experience more cancer-induced pain and are at more risk of emotional and behavioral disruptions correlated with CRF. However, other studies implied a potentially paradoxical impact of obesity and insulin resistance to reduce CRF symptoms. Despite the need for further investigation utilizing interventions to directly elucidate the mechanisms of cancer-related fatigue, current evidence demonstrates a correlation between obesity and/or insulin resistance and CRF, and suggests potential therapeutics for CRF by targeting obesity and/or obesity-related mediators.