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Journal of Cancer Research and Clinical... Mar 2024The clinical significance of tertiary lymphoid structure (TLS) in gastric cancer (GC) was uncertain. (Meta-Analysis)
Meta-Analysis
Analyzing the associations between tertiary lymphoid structures and postoperative prognosis, along with immunotherapy response in gastric cancer: findings from pooled cohort studies.
BACKGROUND
The clinical significance of tertiary lymphoid structure (TLS) in gastric cancer (GC) was uncertain.
METHODS
A systematic search was performed in public databases for eligible studies as of April 2, 2023. Meta-analyses were performed to interrogate the associations between TLS levels and prognosis and immunotherapy response of GC. Bioinformatic analyses based on the nine-gene signature of TLS were further conducted to capture the biological underpinnings.
RESULTS
Eleven studies containing 4224 GC cases were enrolled in the meta-analysis. TLS levels positively correlated with smaller tumor size, earlier T stage and N stage. Moreover, higher TLS levels were detected in diffuse and mix subtypes of GC (P < 0.001). Higher TLS levels strongly predicted favorable postoperative overall survival of GC, with HR of 0.36 (95%CI 0.26-0.50, P < 0.001) and 0.55 (95%CI 0.45-0.68, P < 0.001) of univariate and multivariate Cox analysis, respectively. Higher TLS levels were also in favor of the treatment response of anti-PD-1 inhibitors as later-line therapy of GC. TLS levels positively correlated with immune effector cells infiltration, diversity and richness of T cell receptor and B cell receptor repertoire, immune checkpoint genes expression, and immune-related genes mutation of GC in the TCGA-STAD cohort, representing higher immunogenicity and immunoactivity. Moreover, moderate accuracy of TLS levels in predicting benefit from anti-PD-1 inhibitors in the PRJEB25780 cohort was also validated (AUC 0.758, 95%CI 0.583-0.933), higher than the microsatellite instability-score and Epstein-Barr virus status.
CONCLUSIONS
TLS levels demonstrated potential in predicting the postoperative prognosis and immunotherapy response of GC.
Topics: Humans; Cohort Studies; Epstein-Barr Virus Infections; Herpesvirus 4, Human; Immune Checkpoint Inhibitors; Immunotherapy; Prognosis; Stomach Neoplasms; Tertiary Lymphoid Structures; Tumor Microenvironment
PubMed: 38519621
DOI: 10.1007/s00432-024-05672-y -
Heliyon May 2024Endometrial carcinoma is the most widespread gynecological cancer, with increasing morbidity and mortality. Pembrolizumab, a monoclonal antibody that targets PD1...
OBJECTIVE
Endometrial carcinoma is the most widespread gynecological cancer, with increasing morbidity and mortality. Pembrolizumab, a monoclonal antibody that targets PD1 receptor tumors, is approved for patients with microsatellite instability-high (MSI-H) solid tumors. Many clinical trials and observational studies have been conducted to assess the safety and efficacy of Lenvatinib and Pembrolizumab combination therapy in the setting of endometrial cancer. However, results have been inconsistent, and current data is based on a heterogeneous population. The primary objective was to assess the safety and efficacy of Lenvatinib plus Pembrolizumab for endometrial cancer.
DATA SOURCES
The search was conducted from inception from four databases; PubMed, Google Scholar, the Cochrane Library, and ClinicalTrials.gov. The electronic database search was conducted from inception to August 20, 2023.
STUDY ELIGIBILITY CRITERIA
We considered randomized controlled trials and single-arm observational studies, i.e. cohort, case-control and cross-sectional studies.
METHODOLOGY
We performed a single-arm meta-analysis, involving 7 studies having a total of 495 patients with endometrial cancer were eventually included which had the following outcomes: Complete response, Partial response, Progression-free survival, stable disease, progressive disease, safety outcomes, Adverse events, and the total number of deaths.
RESULTS
Our results showed that 88.6 % of the patients were positive for non-MSI-H/pMMR tumors (95 % CI = 0.825-0.927) whereas 6.5 % (95 % CI = 3.8-9.8 %) of the patients for MSI-H/dMMR tumors. The pooled objective response of endometrial cancer patients treated with Lenvatinib and Pembrolizumab was 36.5 % (95 % CI = 0.258-0.471), the pooled estimate of complete and partial response was 47 % (95 % CI = 0.024-0.070) and 31.3 % (95 % CI = 0.230-0.396). 38.2 % patients had stable disease (95 % CI = 0.329-0.435) and 24.0 % patients had progressive disease (95 % CI = 0.103-0.378). The pooled median progression-free survival was 5.97 (95 % CI 5.43-7.63) months and, whereas the median overall survival was 17.19 months (95 % CI 15.34-19.31). All grade adverse events occurred in 85 % and Grade 3 or worse adverse events occurred in 39 % of patients during the therapy whereas death occurred in 23.8 % during the treatment.
CONCLUSION
The results of this meta-analysis concludes that although the combined treatment of a Lenvatinib and Pembrolizumab had a PFS and OS that was inferior to the standard therapy used to treat advanced and recurrent endometrial cancer, it is still a novel treatment and shows potential for further research with a greater sample size.
PubMed: 38720703
DOI: 10.1016/j.heliyon.2024.e30257 -
Therapeutic Advances in Medical Oncology 2024Perioperative chemotherapy (CT) is an established therapeutic approach for patients diagnosed with stage IB-III gastric cancer (GC).
BACKGROUND
Perioperative chemotherapy (CT) is an established therapeutic approach for patients diagnosed with stage IB-III gastric cancer (GC).
OBJECTIVES
This study aimed to investigate the efficacy of this approach in individuals with GC exhibiting high microsatellite instability (MSI-H).
DESIGN
A systematic review was conducted, including studies that provided data on (neo)adjuvant CT outcomes in patients with MSI-H GC.
METHODS
Systematic searches were conducted in PubMed, Cochrane Central of Controlled Trials, and Embase databases. Data were aggregated using hazard ratios (HRs) to compare overall survival between CT and surgery.
RESULTS
Data analysis from 23 studies, including 22,011 patients, revealed that the prevalence of MSI-H is 9.8%. Administration of adjuvant or perioperative CT did not significantly reduce the risk of death or relapse in patients with MSI-H GC (HR = 0.8, 95% CI 0.54-1.16; = 0.24 and HR = 0.84, 95% CI 0.59-1.18; = 0.31, respectively).
CONCLUSION
Chemotherapy did not benefit patients diagnosed with MSI-H nonmetastatic GC but rather will be integrated with immune checkpoint inhibitors in the near future.
PubMed: 38435432
DOI: 10.1177/17588359241231259 -
Annals of Coloproctology Feb 2024The integration of artificial intelligence (AI) and magnetic resonance imaging in rectal cancer has the potential to enhance diagnostic accuracy by identifying subtle... (Review)
Review
PURPOSE
The integration of artificial intelligence (AI) and magnetic resonance imaging in rectal cancer has the potential to enhance diagnostic accuracy by identifying subtle patterns and aiding tumor delineation and lymph node assessment. According to our systematic review focusing on convolutional neural networks, AI-driven tumor staging and the prediction of treatment response facilitate tailored treat-ment strategies for patients with rectal cancer.
METHODS
This paper summarizes the current landscape of AI in the imaging field of rectal cancer, emphasizing the performance reporting design based on the quality of the dataset, model performance, and external validation.
RESULTS
AI-driven tumor segmentation has demonstrated promising results using various convolutional neural network models. AI-based predictions of staging and treatment response have exhibited potential as auxiliary tools for personalized treatment strategies. Some studies have indicated superior performance than conventional models in predicting microsatellite instability and KRAS status, offer-ing noninvasive and cost-effective alternatives for identifying genetic mutations.
CONCLUSION
Image-based AI studies for rectal can-cer have shown acceptable diagnostic performance but face several challenges, including limited dataset sizes with standardized data, the need for multicenter studies, and the absence of oncologic relevance and external validation for clinical implantation. Overcoming these pitfalls and hurdles is essential for the feasible integration of AI models in clinical settings for rectal cancer, warranting further research.
PubMed: 38414120
DOI: 10.3393/ac.2023.00892.0127