Psychological Symptom Trajectories and Non-Small Cell Lung Cancer Survival: A Joint Model Analysis

Functional resilience and overall survival in adults treated for advanced non-small-cell lung cancer

PURPOSE

As more treatments emerge for advanced, stage IV non-small-cell lung cancer (NSCLC), oncologists have difficulty predicting functional resiliency versus functional decline throughout cancer treatment. Our study evaluates functional resilience among patients with advanced NSCLC.

METHODS

Functional status was evaluated through 12 months of follow-up based on disability score using the modified EQ-5D-5L (mEQ-5D-5L) survey. Participants were classified into 4 groups: functional maintenance, decline, resilient, or variable. Characteristics of 207 participants with newly diagnosed NSCLC included demographics, comorbidities, baseline Eastern Cooperative Oncology Group (ECOG) performance status (PS), mEQ-5D-5L scores, psychological symptoms, and lung cancer-specific symptoms. Treatment toxicity and grade were recorded. Resilience was defined as improvement from baseline disability scores. A 1-point increase in functional status score represents a 0.5 standard deviation change on the mEQ-5D-5L. Differences between the 4 groups were determined through Fisher's exact test or ANOVA. Kaplan-Meier curves describe overall survival (baseline through 18 months) stratified by baseline mEQ-5D-5L scores.

RESULTS

Among participants, 42.0 % maintained functional status, 37.7 % experienced functional decline, 10.6 % were resilient, and 9.7 % had variable functional status. Participants with the best baseline function (score of 0) had the longest overall survival and participants with the worst baseline function (score of 5 + ) had the shortest overall survival. Among the healthiest patients, early score increases indicated shorter overall survival. Baseline ECOG PS was not associated with overall survival (p = 0.47).

CONCLUSION

Baseline functional status may help better predict functional resiliency and overall survival than ECOG PS among patients receiving treatment for advanced NSCLC.

Resiliency among older adults receiving lung cancer treatment (ROAR-LCT): A novel supportive care intervention for older adults with advanced lung cancer

INTRODUCTION

Novel supportive care interventions designed for an aging population with lung cancer are urgently needed. We aimed to determine the feasibility of a novel supportive care physical therapy (PT) plus progressive muscle relaxation (PMR) intervention delivered to older adults with advanced lung cancer in the United States (US).

MATERIALS AND METHODS

This clinical trial, Resiliency Among Older Adults Receiving Lung Cancer Treatment (ROAR-LCT: NCT04229381), recruited adults aged ≥60 years with unresectable stage III/IV non-small cell (NSCLC) or small cell lung cancer (SCLC) receiving cancer treatment at The James Thoracic Oncology Center (planned enrollment, N = 20). There were no exclusion criteria pertaining to performance status, laboratory values, prior cancer diagnoses, comorbidities, or brain metastases. Participants were evaluated by PT and psychology and given an exercise pedaler, resistance bands, a relaxation voice recording, and instructions at study initiation. Participants were evaluated in-person by PTs and psychologists at the start and end of the 12-session intervention, with the intervening sessions conducted via virtual health. Participants completed self-reported measures of functional status, symptoms, and mood longitudinally with the following instruments: EQ-5D-5L, Patient Health Questionnaire-9, and General Anxiety Disorder-7. PT assessments included the Short Physical Performance Battery (SPPB) and the two-minute walk test. Feasibility was defined as at least 60% of participants completing at least 70% of all intervention sessions. Optional gut microbiome samples and activity monitoring data (ActiGraph®) were also collected.

RESULTS

The ROAR-LCT study concluded after consenting 22 patients. Among the 22 consented, 18 (81.8%) started the intervention; 11 participants (61.1%) completed at least 70% of all study sessions. All participants with SCLC completed the intervention. Reasons for withdrawal included progression of disease or hospitalization. The majority (88.9%) of patients who started were able to complete at least one virtual health session. Participants' functional status, SPPB, depression, and anxiety scores were stable from pre- to post-intervention. Participants who withdrew had worse baseline scores across domains. Seven microbiome and six ActiGraph® samples were collected.

DISCUSSION

This is one of the first PT + PMR supportive care interventions using virtual health among older adults with advanced lung cancer to achieve feasibility in the US.

A joint model of longitudinal pharmacokinetic and time-to-event data to study exposure-response relationships: a proof-of-concept study with alectinib

PURPOSE

In exposure-response analyses of oral targeted anticancer agents, longitudinal plasma trough concentrations are often aggregated into a single value even though plasma trough concentrations can vary over time due to dose adaptations, for example. The aim of this study was to compare joint models to conventional exposure-response analyses methods with the application of alectinib as proof-of-concept.

METHODS

Joint models combine longitudinal pharmacokinetic data and progression-free survival data to infer the dependency and association between the two datatypes. The results from the best joint model and the standard and time-dependent cox proportional hazards models were compared. To normalize the data, alectinib trough concentrations were normalized using a sigmoidal transformation to transformed trough concentrations (TTC) before entering the models.

RESULTS

No statistically significant exposure-response relationship was observed in the different Cox models. In contrast, the joint model with the current value of TTC in combination with the average TTC over time did show an exposure-response relationship for alectinib. A one unit increase in the average TTC corresponded to an 11% reduction in progression (HR, 0.891; 95% confidence interval, 0.805-0.988).

CONCLUSION

Joint models are able to give insights in the association structure between plasma trough concentrations and survival outcomes that would otherwise not be possible using Cox models. Therefore, joint models should be used more often in exposure-response analyses of oral targeted anticancer agents.

Trajectories of depression and predictors in lung cancer patients undergoing chemotherapy: growth mixture model

BACKGROUND

Depression is prevalent among lung cancer patients undergoing chemotherapy, and the symptom cluster of fatigue-pain-insomnia may influence their depression. Identifying characteristics of patients with different depression trajectories can aid in developing more targeted interventions. This study aimed to identify the trajectories of depression and the fatigue-pain-insomnia symptom cluster, and to explore the predictive factors associated with the categories of depression trajectories.

METHODS

In this longitudinal study, 187 lung cancer patients who were undergoing chemotherapy were recruited and assessed at the first (T1), second(T2), and fourth(T3) months using the Patient Health Questionnaire-9 (PHQ-9), the Brief Pain Inventory (BPI), the Brief Fatigue Inventory (BFI), and the Athens Insomnia Scale (AIS). Growth Mixture Model (GMM) and Latent Class Analysis (LCA) were used to identify the different trajectories of the fatigue-pain-insomnia symptom cluster and depression. Binary logistic regression was utilized to analyze the predictive factors of different depressive trajectories.

RESULTS

GMM identified two depressive trajectories: a high decreasing depression trajectory (40.64%) and a low increasing depression trajectory (59.36%). LCA showed that 48.66% of patients were likely members of the high symptom cluster trajectory. Binary logistic regression analysis indicated that having a history of alcohol consumption, a higher symptom cluster burden, unemployed, and a lower monthly income predicted a high decreasing depression trajectory.

CONCLUSIONS

Depression and fatigue-pain-insomnia symptom cluster in lung cancer chemotherapy patients exhibited two distinct trajectories. When managing depression in these patients, it is recommended to strengthen symptom management and pay particular attention to individuals with a history of alcohol consumption, unemployed, and a lower monthly income.

Depressive Symptoms, Socioeconomic Position, and Mortality in Older People Living With and Beyond Cancer

OBJECTIVE

Evidence shows that higher depressive symptoms are associated with mortality among people living with and beyond cancer (LWBC). However, prior studies have not accounted for a wider range of potential confounders, and no study has explored whether socioeconomic position (SEP) moderates the association. This study aimed to examine the association between depressive symptoms and mortality among people LWBC, and moderation by SEP.

METHODS

Participants from the English Longitudinal Study of Aging, diagnosed with cancer and with a measure of depressive symptoms within 4 years after their diagnosis, were included. Elevated depressive symptoms were indicated by a score of ≥3 on the eight-item Center for Epidemiologic Studies Depression Scale. Cox regression models examined associations with all-cause mortality. Competing risk regression examined associations with cancer mortality.

RESULTS

In 1352 people LWBC (mean age = 69.6 years), elevated depressive symptoms were associated with a 93% increased risk of all-cause mortality (95% confidence interval = 1.52-2.45) within the first 4 years of follow-up and a 48% increased risk within a 4- to 8-year follow-up (95% confidence interval = 1.02-2.13) after multivariable adjustment. Elevated depressive symptoms were associated with a 38% increased risk of cancer mortality, but not after excluding people who died within 1 year after baseline assessments. There were no interactions between depressive symptoms and SEP.

CONCLUSIONS

Elevated depressive symptoms are associated with a greater risk of all-cause mortality among people LWBC within an 8-year follow-up period. Associations between depressive symptoms and cancer mortality might be due to reverse causality.

Identification of symptom clusters and sentinel symptoms during the first cycle of chemotherapy in patients with lung cancer

PURPOSE

To identify symptom clusters (SCs) in patients with lung cancer who are undergoing initial chemotherapy and to identify the sentinel symptoms of each SC.

METHODS

A convenience sampling method was used to recruit patients with lung cancer who were undergoing their initial chemotherapy treatment. Patient information was collected using the General Demographic Questionnaire, MD Anderson Symptom Inventory (including the lung cancer module) and a schedule documenting the initial occurrence of symptoms. The Walktrap algorithm was employed to identify SCs, while sentinel symptoms within each SC were identified using the Apriori algorithm in conjunction with the initial occurrence time of symptoms.

RESULTS

A total of 169 patients with lung cancer participated in this study, and four SCs were identified: the psychological SC (difficulty remembering, sadness, dry mouth, numbness or tingling, and distress), somatic SC (pain, fatigue, sleep disturbance, and drowsiness), respiratory SC (coughing, expectoration, chest tightness, and shortness of breath), and digestive SC (nausea, poor appetite, constipation, vomiting, and weight loss). Sadness, fatigue, and coughing were identified as sentinel symptoms of the psychological, somatic, and respiratory SCs, respectively. However, no sentinel symptom was identified for the digestive SC.

CONCLUSION

Patients with lung cancer who are undergoing chemotherapy encounter a spectrum of symptoms, often presenting as SCs. The sentinel symptom of each SC emerges earlier than the other symptoms and is characterized by its sensitivity, significance, and driving force. It serves as a vital indicator of the SC and assumes a sentry role. Targeting sentinel symptoms might be a promising strategy for determining the optimal timing of interventions and for mitigating or decelerating the progression of the other symptoms within the SC.

Sleep Disturbance as a Mediator of Lung Cancer Stigma on Psychological Distress and Physical Symptom Burden

OBJECTIVE

This study tested sleep disturbance as a mediator through which stigma and discrimination predict psychological distress and physical symptom burden in adults with lung cancer.

METHODS

Lung cancer patients on active oncological treatment ( N = 108; 74.1% stage IV) completed questionnaires on lung cancer stigma, sleep, distress, and physical symptoms at study entry and at 6- and 12-week follow-up. Mediation analyses were conducted to investigate whether stigma and discrimination predicted distress and physical symptoms at study entry and across 12 weeks through disrupted sleep.

RESULTS

Higher discrimination ( b = 5.52, 95% confidence interval [CI] = 2.10-8.94) and constrained disclosure ( b = 0.45, 95% CI = 0.05-0.85) were associated significantly with higher sleep disruption at study entry. Sleep disruption, in turn, was associated with higher distress ( b = 0.19, 95% CI = 0.09-0.29) and physical symptoms ( b = 0.28, 95% CI = 0.17-0.40) at study entry. Sleep disruption significantly mediated relationships between higher discrimination and the outcomes of distress (indirect effect = 1.04, 95% CI = 0.13-1.96) and physical symptoms (indirect effect = 1.58, 95% CI = 0.37-2.79) at study entry. Sleep disruption also mediated relationships between constrained disclosure and the outcomes of distress (indirect effect = 0.85, 95% CI = < 0.01-0.17) and physical symptoms (indirect effect = 0.13, 95% CI = 0.01-0.25).

CONCLUSIONS

Lung cancer patients evidenced pronounced sleep disruption, which mediated relationships between indicators of lung cancer stigma and distress and physical symptoms at study entry. Research is needed to test additional mechanisms through which lung cancer stigma predicts these outcomes longitudinally.

Supporting Life Adjustment in Patients With Lung Cancer Through a Comprehensive Care Program: Protocol for a Controlled Before-and-After Trial

BACKGROUND

Lung cancer diagnosis affects an individual's quality of life as well as physical and emotional functioning. Information on survivorship care tends to be introduced at the end of treatment, but early intervention may affect posttreatment adjustment. However, to the best of our knowledge, no study has explored the effect of early information intervention on the return to work, family, and societal roles of lung cancer survivors.

OBJECTIVE

We report the study protocol of a comprehensive care prehabilitation intervention designed to facilitate lung cancer survivors' psychological adjustment after treatment.

METHODS

A comprehensive care program was developed based on a literature review and a qualitative study of patients with lung cancer and health professionals. The Lung Cancer Comprehensive Care Program consists of educational videos and follow-up visits by a family medicine physician. To prevent contamination, the control group received routine education, whereas the intervention group received routine care and intervention. Both groups completed questionnaires before surgery (T0) and at 1-month (T1), 6-month (T2), and 1-year (T3) follow-up visits after surgery. The primary outcome was survivors' psychological adjustment to cancer 6 months after pulmonary resection.

RESULTS

The historical control group (n=441) was recruited from September 8, 2021, to April 20, 2022, and the intervention group (n=350) was recruited from April 22, 2022, to October 17, 2022. All statistical analyses will be performed upon completion of the study.

CONCLUSIONS

This study examined the effectiveness of an intervention that provided general and tailored informational support to lung cancer survivors, ranging from before to the end of treatment.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05078918; https://clinicaltrials.gov/ct2/show/NCT05078918.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/54707.

Exploring the interplay between methylation patterns and non-coding RNAs in non-small cell lung cancer: Implications for pathogenesis and therapeutic targets

Lung cancer is a global public health issue, with non-small cell lung cancer (NSCLC) accounting for 80-85 % of cases. With over two million new diagnoses annually, understanding the complex evolution of this disease is crucial. The development of lung cancer involves a complex interplay of genetic, epigenetic, and environmental factors, leading the key oncogenes and tumor suppressor genes to disorder, and activating the cancer related signaling pathway. Non-coding RNAs (ncRNAs), including microRNAs (miRNAs), long non-coding RNA (lncRNAs), and circular RNA (circRNAs) are unique RNA transcripts with diverse biological functions. These ncRNAs are generated through genome transcription and play essential roles in cellular processes. Epigenetic modifications such as DNA methylation, N6-methyladenosine (m6A) modification, and histone methylation have gained significant attention in NSCLC research. The complexity of the interactions among these methylation modifications and ncRNAs contribute to the precise regulation of NSCLC development. This review comprehensively summarizes the associations between ncRNAs and different methylation modifications and discusses their effects on NSCLC. By elucidating these relationships, we aim to advance our understanding of NSCLC pathogenesis and identify potential therapeutic targets for this devastating disease.

Survivorship outcomes in patients treated with immune checkpoint inhibitors: a scoping review

BACKGROUND

Immune checkpoint inhibitors (ICIs) have become a central part of cancer care. However, the survivorship outcomes in patients treated with ICIs are understudied. Therefore, we conducted a scoping review to evaluate the current status of the field and to establish research gaps regarding survivorship outcomes with ICIs in real-life cohorts.

METHODS

We used the Web of Science, PubMed, and Embase databases to systematically filter published studies with real-life cohorts from January 1, 2010, until October 19, 2022. Studies evaluating at least one survivorship outcome in ICI-treated patients were included.

RESULTS

A total of 39 papers were included. Quality of life (QoL) (n = 23), toxicity burden (n = 16), and psychosocial issues (n = 9) were the most frequently evaluated survivorship outcomes. Anti-PD-1/PD-L1 monotherapy and a response to treatment were associated with better QoL. In addition, the ICIs were associated with grade 3 or higher immune-related adverse events (irAEs) in 10-15% and late/long-term irAEs in 20-30% of the survivors. Regarding psychosocial problems, over 30% of survivors showed evidence of anxiety and depression, and 30-40% of survivors reported neurocognitive impairments.

CONCLUSION

The survivors treated with ICIs have impairments in most survivorship domains. Further research is needed to gather data on the understudied survivorship outcomes like late and long-term effects, fertility, financial toxicity, and return to work in survivors treated with ICIs.

IMPLICATIONS FOR CANCER SURVIVORS

Available evidence demonstrates that a significant portion of survivors treated with ICIs have a significant toxicity burden, lower QoL than the general population, and a high rate of psychosocial problems.

Combined influence of nutritional and inflammatory status and depressive symptoms on mortality among US cancer survivors: Findings from the NHANES

BACKGROUND

Inflammation and nutrition and depression are interrelated, and both are related to changes in mortality rates. We investigated the association of nutritional and inflammation index or depressive symptoms with the risk of all-cause mortality or cause-specific mortality among cancer survivors.

METHODS

A prospective cohort of a nationally representative sample of cancer survivors, aged 40 years or older (n = 2331; weighted population, 15 248 255; 67.6 ± 11.0 years; 50.6 % males), were recruited from the US National Health and Nutrition Examination Survey (NHANES) from 2005 to 2018. Advanced lung cancer inflammation index (ALI) reflected inflammation and nutritional status and Patient Health Questionnaire 9 (PHQ-9) demonstrated depressive symptoms. The independent and joint associations of ALI and PHQ-9 score with mortality outcomes were examined among cancer survivors and Cox regression analysis based on weights was used to calculate the relative risk.

RESULTS

We identified 605 all-cause deaths (cancer, 204; non-cancer, 401) over a median of 6.2 years of follow-up (15,385 person-years; interquartile range, 3.3-9.8 years). High ALI was observed to be consistently associated with lower risks of all-cause (hazard ratio [HR], 0.516; 95 % CI, 0.400-0.667) and non-cancer (HR, 0.414; 95 % CI, 0.291-0.588) mortality compared with low ALI in a series of adjusted models. Meanwhile, lower PHQ-9 score (0-4) was associated with lower risks of all-cause (HR, 0.686; 95 % CI, 0.521-0.903) and non-cancer (HR, 0.686; 95 % CI, 0.474-0.992) mortality compared with higher PHQ-9 score (≥10). Furthermore, joint analyses showed that high ALI was associated with a decreased risk of death among cancer survivors who were not depressive. Specifically, survivors with high ALI but not depressive symptoms had the lowest overall (HR, 0.404; 95 % CI, 0.228-0.715) risks.

CONCLUSION

In this cohort study, we observed impact of nutritional and inflammatory status and depressive symptoms on mortality among cancer survivors, with the lowest risks of death from both all causes and non-cancer being noted among the combination of high level ALI with no depression.

Psychobiological stress response to a lung cancer diagnosis: a prospective study of patients in Iceland and Sweden

BACKGROUND

A diagnostic work-up leading to a lung cancer diagnosis is a severely stressful experience that may impact tumor progression. Yet, prospective data are scarce on psychological and biological components of stress at the time of lung cancer diagnosis. The aim of this study was to assess pre-to-post diagnosis change in psychological distress and urinary excretion of catecholamines in patients with suspected lung cancer.

METHODS

Participants were 167 patients within the LUCASS study, recruited at referral for suspected lung cancer to University Hospitals in Iceland and Sweden. Patients completed questionnaires on perceived distress (Hospital Anxiety and Depression Scale, HADS) before and after diagnosis of lung cancer or a non-malignant origin. A subpopulation of 85 patients also provided overnight urine for catecholamine analysis before and at a median of 24 days after diagnosis but before treatment.

RESULTS

A lung cancer diagnosis was confirmed in 123 (73.7%) patients, with a mean age of 70.1 years. Patients diagnosed with lung cancer experienced a post-diagnosis increase in psychological distress (p = 0.010), while patients with non-malignant lung pathology showed a reduction in distress (p = 0.070). Both urinary epinephrine (p = 0.001) and norepinephrine (p = 0.032) levels were higher before the diagnosis among patients eventually diagnosed with lung cancer compared to those with non-malignant lung pathology. We observed indications of associations between pre-to-post diagnosis changes in perceived distress and changes in urinary catecholamine levels.

CONCLUSION

Receiving a lung cancer diagnosis is associated with an increase in psychological distress, while elevated catecholamine levels are evident already before lung cancer diagnosis.

Non-pharmaceutical interventions to optimize cancer immunotherapy

The traditional picture of cancer patients as weak individuals requiring maximum rest and protection is beginning to dissolve. Too much focus on the medical side and one's own vulnerability and mortality might be counterproductive and not doing justice to the complexity of human nature. Unlike cytotoxic and lympho-depleting treatments, immune-engaging therapies strengthen the immune system and are typically less harmful for patients. Thus, cancer patients receiving checkpoint inhibitors are not viewed as being vulnerable per se, at least not in immunological and physical terms. This perspective article advocates a holistic approach to cancer immunotherapy, with an empowered patient in the center, focusing on personal resources and receiving domain-specific support from healthcare professionals. It summarizes recent evidence on non-pharmaceutical interventions to enhance the efficacy of immune checkpoint blockade and improve quality of life. These interventions target behavioral factors such as diet, physical activity, stress management, circadian timing of checkpoint inhibitor infusion, and waiving unnecessary co-medication curtailing immunotherapy efficacy. Non-pharmaceutical interventions are universally accessible, broadly applicable, instantly actionable, scalable, and economically sustainable, creating value for all stakeholders involved. Most importantly, this holistic framework re-emphasizes the patient as a whole and harnesses the full potential of anticancer immunity and checkpoint blockade, potentially leading to survival benefits. Digital therapeutics are proposed to accompany the patients on their mission toward change in lifestyle-related behaviors for creating optimal conditions for treatment efficacy and personal growth.

Risk Factors for Immune Checkpoint Inhibitor Immunotherapy Toxicity Among Older Adults with Cancer

OBJECTIVES

Immune checkpoint inhibitor immunotherapy (IO) is revolutionizing cancer care but can lead to significant toxicity. This study seeks to describe potential risk factors for immune-related adverse events (irAEs) specifically among older adults.

MATERIALS AND METHODS

This was a retrospective study at a single academic comprehensive cancer center based on chart review data abstracted by physicians. For patients aged ≥70 years, frequency, type, and grade of irAEs and their association with baseline patient demographics, comorbidities, mobility, and functional status were characterized using bivariate analysis. Based on those results, multivariable logistic regressions were constructed to model the association between these characteristics with any grade and grade 3 or higher irAEs.

RESULTS

Data were analyzed for 238 patients aged ≥70 years who received IO for mostly (≥90%) advanced cancer between 2011 and 2018. Thirty-nine percent of older adults experienced an irAE and 13% experienced one that was grade 3 or higher. In the multivariable analysis, depression was associated with an increased incidence of any grade irAE, while decreased life-space mobility was associated with an increased incidence of grade ≥3 irAEs.

CONCLUSION

Most characteristics of special interest among older adults, include fall risk, weight loss, cognitive limitations, and hearing loss, were not associated with irAEs in our study. However, decreased life-space mobility and depression are potential risk factors for IO toxicity among older adults with advanced cancer. Interventions designed to evaluate and mitigate modifiable risk factors for treatment-related toxicity are needed, and the results of this study may be useful for guiding those efforts.

Management of Anxiety and Depression in Adult Survivors of Cancer: ASCO Guideline Update

PURPOSE

To update the American Society of Clinical Oncology guideline on the management of anxiety and depression in adult cancer survivors.

METHODS

A multidisciplinary expert panel convened to update the guideline. A systematic review of evidence published from 2013-2021 was conducted.

RESULTS

The evidence base consisted of 17 systematic reviews ± meta analyses (nine for psychosocial interventions, four for physical exercise, three for mindfulness-based stress reduction [MBSR], and one for pharmacologic interventions), and an additional 44 randomized controlled trials. Psychological, educational, and psychosocial interventions led to improvements in depression and anxiety. Evidence for pharmacologic management of depression and anxiety in cancer survivors was inconsistent. The lack of inclusion of survivors from minoritized groups was noted and identified as an important consideration to provide high-quality care for ethnic minority populations.

RECOMMENDATIONS

It is recommended to use a stepped-care model, that is, provide the most effective and least resource-intensive intervention based on symptom severity. All oncology patients should be offered education regarding depression and anxiety. For patients with moderate symptoms of depression, clinicians should offer cognitive behavior therapy (CBT), behavioral activation (BA), MBSR, structured physical activity, or empirically supported psychosocial interventions. For patients with moderate symptoms of anxiety, clinicians should offer CBT, BA, structured physical activity, acceptance and commitment therapy, or psychosocial interventions. For patients with severe symptoms of depression or anxiety, clinicians should offer cognitive therapy, BA, CBT, MBSR, or interpersonal therapy. Treating clinicians may offer a pharmacologic regimen for depression or anxiety for patients who do not have access to first-line treatment, prefer pharmacotherapy, have previously responded well to pharmacotherapy, or have not improved following first-line psychological or behavioral management.Additional information is available at www.asco.org/survivorship-guidelines.

Using the emotional functioning in clinical practice to detect psychological distress in patients with advanced thoracic and colorectal cancer

PURPOSE

Patients with advanced cancer suffer significant decline of their psychological state. A rapid and reliable evaluation of this state is essential to detect and treat it and improve quality of life. The aim was to probe the usefulness of the emotional function (EF) subscale of the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire C30 (EF-EORTC-QLQ-C30) to assess psychological distress in cancer patients.

METHODS

This is a multicenter, prospective, observational study involving 15 Spanish hospitals. Patients diagnosed with unresectable advanced thoracic or colorectal cancer were included. Participants completed the Brief Symptom Inventory 18 (BSI-18), the current the gold standard, and the EF-EORTC-QLQ-C30 to assess their psychological distress prior to initiating systemic antineoplastic treatment. Accuracy, sensitivity, positive predictive value (PPV), specificity, and negative predictive value (NPV) were calculated.

RESULTS

The sample comprised 639 patients: 283 with advanced thoracic cancer and 356 with advanced colorectal cancer. According to the BSI scale, 74% and 66% displayed psychological distress with an EF-EORTC-QLQ-C30 accuracy of 79% and 76% in detecting psychological distress in individuals with advanced thoracic and colorectal cancer, respectively. Sensitivity was 79 and 75% and specificity was 79 and 77% with a PPV of 92 and 86% and a NPV of 56 and 61% (scale cut-off point, 75) for patients with advanced thoracic and colorectal cancer, respectively. The mean AUC for thoracic cancer was 0.84 and, for colorectal cancer, it was 0.85.

CONCLUSION

This study reveals that the EF-EORTC-QLQ-C30 subscale is a simple and effective tool for detecting psychological distress in people with advanced cancer.

Depression in association with neutrophil-to-lymphocyte, platelet-to-lymphocyte, and advanced lung cancer inflammation index biomarkers predicting lung cancer survival

Lung cancer is a product of inflammation and a dysfunctional immune system, and depression has similar dysregulation. Depression disproportionately affects lung cancer patients, having the highest rates of all cancers. Systemic inflammation and depression are both predictive of non-small cell lung cancer (NSCLC) survival, but the existence and extent of any co-occurrence is unknown. Studied is the association between systemic inflammation ratio (SIR) biomarker levels and patients' depressive symptoms, with the hypothesis that depression severity would be significantly associated with prognostically poor inflammation. Newly diagnosed stage-IV non-small cell lung cancer (NSCLC; N = 186) patients were enrolled (ClinicalTrials.gov Identifier: NCT03199651) and blood draws and depression self-reports (Patient Health Questionnaire-9) were obtained. For SIRs, cell counts of neutrophils (N), lymphocytes (L), and platelets (P) were abstracted for ratio (R) calculations for NLR, PLR, and the Advanced Lung cancer Inflammation Index (ALI). Patients were followed and biomarkers were tested as predictors of 2-year overall survival (OS) to confirm their relevance. Next, multivariate linear regressions tested associations of depression with NLR, PLR, and ALI. Overall 2-year mortality was 61% (113/186). Cox model analyses confirmed higher NLR [hazard ratio (HR) = 1.91; p = 0.001] and PLR (HR = 2.08; p<0.001), along with lower ALI (HR = 0.53; p = 0.005), to be predictive of worse OS. Adjusting for covariates, depression was reliably associated with biomarker levels (p ≤ 0.02). Patients with moderate/severe depressive symptoms were 2 to 3 times more likely to have prognostically poor biomarker levels. Novel data show patients' depressive symptoms were reliably associated with lung-relevant systemic inflammation biomarkers, all assessed at diagnosis/pretreatment. The same SIRs were found prognostic for patients' 2-year OS. Intensive study of depression, combined with measures of cell biology and inflammation is needed to extend these findings to discover mechanisms of depression toxicity for NSCLC patients' treatment responses and survival.

Developing a visual model for predicting depression in patients with lung cancer

AIMS AND OBJECTIVES

To investigate and analyse the prevalence of depression among patients with lung cancer, identify risk factors of depression, and develop a visual, non-invasive, and straightforward clinical prediction model that can be used to predict the risk probability of depression in patients with lung cancer quantitatively.

BACKGROUND

Depression is one of the common concomitant symptoms of patients with lung cancer, which can increase the risk of suicide. However, the current assessment tools cannot combine multiple risk factors to predict the risk probability of depression in patients.

DESIGN

A cross-sectional study.

METHODS

The clinical data from 297 patients with lung cancer in China were collected and analysed in this cross-sectional study. The clinical prediction model was constructed according to the results of the Chi-square test and the logistic regression analysis, evaluated by discrimination, calibration, and decision curve analysis, and visualised by a nomogram. This study was reported using the TRIPOD checklist.

RESULTS

130 patients with lung cancer had depressive symptoms with a prevalence of 43.77%. A visual prediction model was constructed based on age, disease duration, exercise, stigma, and resilience. This model showed good discrimination at an AUC of 0.842. Calibration curve analysis indicated a good agreement between experimental and predicted values, and the decision curve analysis showed a high clinical utility.

CONCLUSIONS

The visual prediction model developed in this study has excellent performance, which can accurately predict the occurrence of depression in patients with lung cancer at an early stage and assist the medical staff in taking targeted preventative measures.

RELEVANCE TO CLINICAL PRACTICE

The visual, non-invasive, and simple nomogram can help clinical medical staff to calculate the risk probability of depression among patients with lung cancer, formulate personalised preventive care measures for high-risk groups as soon as possible, and improve the quality of life of patients.

Association of Allostatic Load With Overall Mortality Among Patients With Metastatic Non-Small Cell Lung Cancer

Importance

Adverse social determinants of health (SDHs) (eg, poverty) are associated with poor oncologic outcomes among patients with lung cancer. However, no studies have evaluated biological correlates of adverse SDHs, operationalized as allostatic load (AL), with mortality due to lung cancer.

Objective

To examine the association among AL, SDHs, and mortality among patients with metastatic non-small cell lung cancer (NSCLC).

Design, Setting, and Participants

This cross-sectional study of an observational cohort was performed at a National Cancer Institute-designated comprehensive cancer center with data accrued from June 1, 2017, to August 31, 2019. Patients with metastatic (stage IV) NSCLC enrolled at diagnosis into a prospective observational cohort study were included in the present analysis if they had all the biomarkers to calculate an AL score (N = 143). Follow-up was completed on August 31, 2021, and data were analyzed from July 1 to September 30, 2021.

Exposures

Social determinants of health.

Main Outcomes and Measures

Overall mortality and AL.

Results

A total of 143 patients met the study criteria with a median age of 63 (IQR, 55-71) years (89 men [62.2%] and 54 women [37.8%]). In terms of race and ethnicity, 1 patient (0.7%) was Asian, 7 (4.9%) were Black, 117 (81.8%) were White, 17 (11.9%) were of multiple races, and 1 (0.7%) was of other race or ethnicity. The mean (SD) AL was 2.90 (1.37). Elevated AL covaried with lower educational level (r = -0.26; P = .002), male sex (r = 0.19; P = .02), limited mobility (r = 0.19; P = .04), worsening self-care (r = 0.30; P < .001), problems engaging in usual activities (r = 0.21; P = .01), depressive symptoms (r = 0.23; P = .005), and a high number of stressful life events (r = 0.30; P < .001). Multivariable analysis found only increasing difficulty with mobility (r = 0.37 [95% CI, 0.13-0.60]; P = .002) and male sex (r = 0.63 [95% CI, 0.19-1.08]; P = .005) associated with higher AL. On adjusted analysis, elevated AL (hazard ratio, 1.43 [95% CI, 1.16-1.79]; P = .001) and low educational level (hazard ratio, 2.11 [95% CI, 1.03-4.34]; P = .04) were associated with worse overall mortality.

Conclusions and Relevance

The findings of this cross-sectional study suggest that higher AL was associated with adverse SDHs and worse overall mortality among patients with advanced NSCLC. These results provide a framework for replication and further studies of AL as a biological correlate for SDH and future prognostic marker.

Functional Trajectories and Resilience Among Adults With Advanced Lung Cancer

Introduction

To evaluate whether and the degree to which patients with advanced NSCLC (aNSCLC) receiving lung cancer treatments will experience functional disability or have resilience and to identify characteristics associated with functional disability.

Methods

We evaluated longitudinal data of patients with aNSCLC receiving treatment in the Beating Lung Cancer in Ohio prospective cohort study. Disability versus resilience in functional status (usual activities, mobility, and self-care) was measured monthly for 8 months using the EuroQol-5D-5L. Data captured included baseline demographics (Eastern Cooperative Oncology Group performance status), comorbidities, cancer and depressive symptoms (Patient Health Questionnaire-9), anxiety (Generalized Anxiety Disorder-7 scale), and cancer stress (impact of events). Group-based latent class trajectory modeling was used to determine clinically distinct functional disability trajectories jointly with attrition probability (death or withdrawal) in the study period.

Results

Among 207 participants, the mean age was 63.5 years (range: 34-92 y), 58.9% were male, 6.8% were African American or Black, 73.3% were former smokers, and 35% resided in rural areas. At baseline, participants had adenocarcinoma histological subtype (74.9%), 40.3% had brain metastases, and 46.1% had bone metastases. Participants received chemotherapy plus immunotherapy (46.9%), immunotherapy single agent (21.7%), targeted treatments (18.8%), or no treatment (12.6%). Three distinct functional trajectory groups were identified, as follows: none/mild (n = 79, 38.2%), moderate (n = 99, 47.8%), and severe disability (n = 29, 14.0%). Characteristics associated with severe disability included baseline Eastern Cooperative Oncology Group performance status greater than 1, worse dyspnea and pain, and higher Patient Health Questionnaire-9 and Generalized Anxiety Disorder-7 scale scores. At month 8, 95 participants (45.9%) displayed resilience, 11 (5.3%) experienced functional decline, and 69 (33.3%) were deceased.

Conclusions

We identified three distinct functional trajectories among patients with aNSCLC. Risk stratification tools and targeted interventions designed to target these three groups are needed to improve functional resilience and prevent disability.