Study on sentinel symptoms and influencing factors of postoperative chemotherapy in patients with gastric cancer

Characterizing the post-traumatic growth trajectory in gastric cancer survivors: a population-based longitudinal study

OBJECTIVES

Post-traumatic growth can improve the quality of life of cancer survivors. The objective of this study was to investigate post-traumatic growth heterogeneity trajectory in perioperative gastric cancer survivors, and to identify characteristics that predict membership for each trajectory.

METHODS

Gastric cancer survivors (n = 403) were recruited before surgery, their baseline assessment (including post-traumatic growth and related characteristics) was completed, and post-traumatic growth levels were followed up on the day they left the intensive care unit, at discharge, and 1 month after discharge. Latent growth mixture mode was used to identify the heterogeneous trajectory of post-traumatic growth, and the core predictors of trajectory subtypes were explored using a decision tree model.

RESULTS

Three post-traumatic growth development trajectories were identified among gastric cancer survivors: stable high of PTG group (20.6%), fluctuation of PTG group (44.4%), persistent low of PTG group (35.0%). The decision tree model showed anxiety, coping style, and psychological resilience-which was the primary predictor-might be used to predict the PTG trajectory subtypes of gastric cancer survivors.

CONCLUSIONS

There was considerable variability in the experience of post-traumatic growth among gastric cancer survivors. Recognition of high-risk gastric cancer survivors who fall into the fluctuation or persistent low of PTG group and provision of psychological resilience-centered support might allow medical professionals to improve patients' post-traumatic growth and mitigate the impact of negative outcomes.

Tumor recurrence and survival prognosis in patients with advanced gastric cancer after radical resection with radiotherapy and chemotherapy

BACKGROUND

Advanced gastric cancer is a common malignancy that is often diagnosed at an advanced stage and is still at risk of recurrence after radical surgical treatment. Chemoradiotherapy, as one of the important treatment methods for gastric cancer, is of great significance for improving the survival rate of patients. However, the tumor recurrence and survival prognosis of gastric cancer patients after radiotherapy and chemotherapy are still uncertain.

AIM

To analyze the tumor recurrence after radical radiotherapy and chemotherapy for advanced gastric cancer and provide more in-depth guidance for clinicians.

METHODS

A retrospective analysis was performed on 171 patients with gastric cancer who received postoperative adjuvant radiotherapy and chemotherapy in our hospital from 2021 to 2023. The Kaplan-Meier method was used to calculate the recurrence rate and survival rate; the log-rank method was used to analyze the single-factor prognosis; and the Cox model was used to analyze the prognosis associated with multiple factors.

RESULTS

The median follow-up time of the whole group was 63 months, and the follow-up rate was 93.6%. Stage II and III patients accounted for 31.0% and 66.7%, respectively. The incidences of Grade 3 and above acute gastrointestinal reactions and hematological adverse reactions were 8.8% and 9.9%, respectively. A total of 166 patients completed the entire chemoradiotherapy regimen, during which no adverse reaction-related deaths occurred. In terms of the recurrence pattern, 17 patients had local recurrence, 29 patients had distant metastasis, and 12 patients had peritoneal implantation metastasis. The 1-year, 3-year, and 5-year overall survival (OS) rates were 83.7%, 66.3%, and 60.0%, respectively. The 1-year, 3-year, and 5-year disease-free survival rates were 75.5%, 62.7%, and 56.5%, respectively. Multivariate analysis revealed that T stage, peripheral nerve invasion, and the lymph node metastasis rate (LNR) were independent prognostic factors for OS.

CONCLUSION

Postoperative intensity-modulated radiotherapy combined with chemotherapy for gastric cancer treatment is well tolerated and has acceptable adverse effects, which is beneficial for local tumor control and can improve the long-term survival of patients. The LNR was an independent prognostic factor for OS. For patients with a high risk of local recurrence, postoperative adjuvant chemoradiation should be considered.

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.

Sentinel and networked symptoms in patients with breast cancer undergoing chemotherapy

PURPOSE

It was designed to identify the symptom clusters and sentinel symptoms among patients with breast cancer receiving chemotherapy at the community level, and to explore core and bridge symptoms at the global level.

METHODS

A cross-sectional survey was conducted using the MD Anderson Symptom Inventory. Patients with breast cancer receiving chemotherapy, recruited from the "Be Resilient to Breast Cancer" project between January 2023 and December 2023, were included in the study. Symptom clusters and their sentinel symptoms were identified using exploratory factor analysis and Apriori algorithm. Core and bridge symptoms were identified using network analysis.

RESULTS

A total of 468 patients with breast cancer participated in the current study. At the community level, three symptom clusters and their corresponding sentinel symptoms were identified: a gastrointestinal symptom cluster (with nausea as the sentinel symptom), a psycho-sleep-related symptom cluster (with distress as the sentinel symptom), and a neurocognition symptom cluster (with dry mouth as the sentinel symptom). At the global level, fatigue emerged as the core symptom, while disturbed sleep and lack of appetite as bridge symptoms.

CONCLUSION

Addressing nausea, distress, and dry mouth are imperative for alleviating specific symptom clusters at the community level. Furthermore, targeting fatigue, disturbed sleep, and lack of appetite are crucial to break the interactions among diverse symptoms at the global level.

Chemotherapy-related symptom networks in distinct subgroups of Chinese patients with gastric cancer

Objective

This study aims to identify distinct subgroups among gastric cancer patients undergoing chemotherapy (CTX), delineate associated symptom networks, and ascertain the clinical and sociodemographic variables contributing to diverse symptom patterns.

Methods

Conducted in eastern China, our investigation involved gastric cancer patients receiving CTX. We gathered data using the M.D. Anderson Symptom Inventory Gastrointestinal Cancer Module along with clinical and sociodemographic variables. Subgroups were discerned based on symptom severity through latent profile analysis, and subsequent comparisons were made regarding the symptom networks in different subgroups.

Results

The analysis encompassed 677 eligible gastric cancer patients, revealing three profiles: "Profile 1: low class" (n = 354, 52.3%), "Profile 2: moderate class" (n = 222, 32.8%), and "Profile 3: all high class" (n = 101, 14.9%). Nausea-vomiting exhibited robust associations in the symptom networks of all subgroups, whereas sadness-distress, and taste change-lack of appetite were notably linked with Profile 1 and Profile 2. Distress emerged as a core symptom in Profile 1, lack of appetite dominated the symptom network in Profile 2, and fatigue attained the highest strength in Profile 3. Distinct symptom profiles were influenced by variables such as education level, CTX combined with surgical or herbal treatment, psychological resilience, and social support.

Conclusions

Patients within different subgroups manifest individualized patterns of symptom profiles. Analyzing demographics, disease characteristics, and psychosocial information among diverse subgroups facilitates healthcare providers in devising more personalized and targeted symptom management strategies, thereby alleviating the symptom burden on patients.