Atrial resection for T4 non-small cell lung cancer with left atrium involvement: a systematic review and meta-analysis of survival.

PURPOSE: Extended resection for non-small cell lung cancer (NSCLC) with T4 left atrium involvement is controversial. We performed a systematic review and meta-analysis to evaluate the short- and long-term outcomes of this treatment strategy. METHODS: We searched the PubMed database for studies on atrial resection in NSCLC patients. The primary investigated outcome was the effectiveness of the surgery represented by survival data and the secondary outcomes were postoperative morbidity, mortality, and recurrence. RESULTS: Our search identified 18 eligible studies including a total of 483 patients. Eleven studies reported median overall survival and 17 studies reported overall survival rates. The estimated pooled 1, 3, 5-year overall survival rates were 69.1% (95% CI 61.7-76.0%), 21.5% (95% CI 12.3-32.3%), and 19.9% (95% CI 13.9-26.6%), respectively. The median overall survival was 24 months (95% CI 17.7-27 months). Most studies reported significant associations between better survival and N0/1 status, complete resection status, and neoadjuvant therapy. CONCLUSION: Extended lung resection, including the left atrium, for NSCLC is feasible with acceptable morbidity and mortality when complete resection is achieved. Lymph node N0/1 status coupled with the use of neoadjuvant therapies is associated with better outcomes.

Tumor Molecular and Microenvironment Characteristics in EBV-Associated Malignancies as Potential Therapeutic Targets: Focus on Gastric Cancer.

Although most people are infected with Epstein-Barr Virus (EBV) during their lifetime, only a minority of them develop an EBV-associated malignancy. EBV acts in both direct and indirect ways to transform infected cells into tumor cells. There are multiple ways in which the EBV, host, and tumor environment interact to promote malignant transformation. This paper focuses on some of the mechanisms that EBV uses to transform the tumor microenvironment (TME) of EBV-associated gastric cancer (EBVaGC) for its benefit, including overexpression of Indoleamine 2,3-Dioxygenase 1 (IDO1), synergism between H. pylori and EBV co-infection, and M1 to M2 switch. In this review, we expand on different modalities and combinatorial approaches to therapeutically target this mechanism.

First- versus second-generation Bruton tyrosine kinase inhibitors in Waldenström's Macroglobulinemia: A systematic review and meta-analysis.

Bruton tyrosine kinase inhibitors (BTKi) are important treatment options in Waldenström's macroglobulinemia (WM). Whether second-generation BTKi are associated with improved outcomes and/or better safety profile remains unclear. We did a systematic review and meta-analysis of clinical trials that reported data on the outcomes of patients with WM who received either first- or second-generation BTKi in the period between January 2010 and August 2021. Studies with twenty or fewer patients were excluded. The primary outcomes were efficacy measured by response and survival data. Eleven studies met the eligibility criteria and were included in the final analysis (n = 730 patients). A total of 298 patients received 1st-generation BTKi and 432 received a 2nd-generation BTKi. Pooled overall response rate (ORR) and major response rate (MRR) for both generations were similar (94.2% and 78.5% in 1st vs. 88.9% and 75.1% in 2nd, respectively). MRR for both generations was higher in MYD88 Mut/CXCR4 WT patients compared to MYD88 Mut/CXCR4 Mut patients (odds ratio [OR]: 3.9, 95% CI: 2.2 to 5.5). Pooled 18-mo progression-free survival (PFS) was similar for both generations (88.5% vs. 87.3%). Grade 3/4 atrial fibrillation was higher in 1st-generation BTKi (3.1% vs. 0.4%); however, grade-3/-4 infections and neutropenia were more frequent in 2nd-generarion BTKi (20.9% vs. 13.2%, 17.7% vs. 12%, respectively). The efficacy of 1st- and 2nd-generation BTKis is comparable. The 1st-generation BTKi were associated with a higher risk of atrial fibrillation, whereas infections and neutropenia occurred more frequently in 2nd-generation BTKi.

The impact of COVID-19 pandemic on training and mental health of residents: a cross-sectional study.

BACKGROUND: Residency programs have been impacted by the Coronavirus disease 2019 (COVID-19) pandemic. In this study we aim to investigate and evaluate the impact of the pandemic on residents as well as residency training programs. METHODS: This was a cross-sectional study including a survey of 43 questions prepared on Google forms and electronically distributed among a convenience sample of residents training at a tertiary center in North Jordan during the COVID-19 pandemic. Data were collected in the period between October 30th and November 8th of 2020. The survey included questions that addressed the impact of the pandemic on residents' health as well as training programs. The study participants included residents in training at KAUH in 2020 and were stratified according to the type of residency program (surgical residents (SRs) and non-surgical residents (NSRs)). Statistical methods included descriptive analysis, Chi-square or Fisher's exact test, Mann Whitney U test, and Cramer's V and r statistics as measures of effect sizes. RESULTS: Of all 430 residents, 255 (59%) responded to the survey. A total of 17 (7%) of residents reported being infected with COVID-19 and a significant difference was reported between SRs and NSRs (10% vs 4%, V = .124 "small effect" (95% CI; .017-.229), p = 0.048). Approximately, 106 (42%) reported a decrease in the number of staff working at the clinic and 164 (64%) reported limited access to personal protective equipment during the pandemic. On a 4-point Likert scale for the feeling of anxiety, the median was 2 (2-3 IQR) in the NSRs group, vs 2 (1-2 IQR) in the SRs groups, with the NSRs being more likely to feel anxious (r = 0.13 "small effect" (95% CI; 0.007-0.249), p = .044). Similarly, the proportion of residents who reported feeling anxious about an inadequacy of protective equipment in the work area was significantly greater in the NSRs group (90.3% vs 75.2%; V = .201 "small effect" (95% CI; .078-.313), p = .001), as well as the proportion of residents who reported feeling increased stress and anxiety between colleagues being also significantly higher in the NSRs group (88.1% vs 76%; V = .158 "small effect" (95% CI; .032-.279), p = .012). CONCLUSION: The burden of the ongoing pandemic on the mental health status of residents is very alarming and so providing residents with psychological counseling and support is needed. Also, critical implications on the flow of residency training programs have been noticed. This necessitates adapting and adopting smart educational techniques to compensate for such limitations.

miRNA Profiles in Patients with Hematological Malignancy at Different Stages of the Disease: A Preliminary Study.

The dysregulation of miRNA expression has been shown to impact cellular physiology and tumorigenesis. Studies have reported several miRNA regulatory elements and pathways that play a significant role in the diagnosis, prognosis, and treatment of hematological malignancies. This is the first study to test the differential expression of miRNAs at crucial stages of the disease, specifically newly diagnosed, resistant to treatment, and remission. Circulating miRNAs extracted from the blood samples of 18 patients diagnosed with leukemia or lymphoma at different stages and 2 healthy controls were quantified by qPCR using a panel of 96 tumorigenic miRNAs. An enrichment analysis was performed to understand the mechanisms through which differential miRNA expression affects cellular and molecular functions. Significant upregulation of hsa-miR-1, hsa-miR-20a-5p, hsa-miR-23a-3p, hsa-miR-92b3p, and hsa-miR-196a-5p was detected among the different stages of leukemia and lymphoma. mir-1 and mir-196a-5p were upregulated in the remission stage of leukemia, while mir-20a-5p, mir-23a-3p, and mir-92b-3p were upregulated during the resistant stage of lymphoma. The enrichment analysis revealed these miRNAs' involvement in the RAS signaling pathway, TGF-ß signaling, and apoptotic pathways, among others. This study highlights new biomarkers that could be used as potential targets for disease diagnosis, prognosis, and treatment, therefore enhancing personalized treatments and survival outcomes for patients.

Immune Checkpoint Inhibitors in Esophageal Carcinoma: Assessment of Efficacy Predictors of Response in Clinical Trials.

Esophageal carcinoma (EC) is among the most common causes of cancer-related deaths worldwide. Even with the improvement of multidisciplinary treatment modalities, advanced unresectable EC patients had limited systemic therapeutic options for an extended period. Recently, immune checkpoint inhibitors (ICIs) have been introduced to advanced EC management in both first-line and second-line options, as well as in postoperative settings in resectable EC after preoperative chemoradiation. Herein, the authors present a comprehensive review of clinical trials on administering ICIs in EC patients while discussing reported clinical, molecular, and immune biomarkers and their predictive value for treatment efficacy.

MicroRNAs Associated with Androgen Receptor and Metastasis in Triple-Negative Breast Cancer.

It is crucial to identify novel molecular biomarkers and therapeutic targets for triple-negative breast cancer (TNBC). The androgen receptor (AR) is a regulator of TNBC, acting partially via microRNA molecules (miRNAs). In this study, we used PCR arrays to profile the expression of 84 miRNAs in 24 TNBC tissue samples, which were equally classified according to AR expression and/or metastasis. Several bioinformatics tools were then utilized to determine the potentially affected protein targets and signaling pathways. Seven miRNAs were found to be significantly more highly expressed in association with AR expression, including miR-328-3p and miR-489-3p. Increased expression of miR-205-3p was found to be significantly associated with metastasis. Certain miRNAs were specifically found to be differentially expressed in either metastatic or non-metastatic AR-positive tumors. A gene ontology (GO) analysis indicated biological roles in the regulation of transcription, cellular response to DNA damage, and the transforming growth factor-beta (TGF-beta) signaling pathway. The GO analysis also showed enrichment in kinase and transcription factor activities. The TGF-beta and a number of kinase-dependent pathways were also retrieved using the Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. This study offers an understanding of the role of AR in TNBC and further implicates miRNAs in mediating the effects of AR on TNBC.

Harnessing explainable artificial intelligence for patient-to-clinical-trial matching: A proof-of-concept pilot study using phase I oncology trials.

This study aims to develop explainable AI methods for matching patients with phase 1 oncology clinical trials using Natural Language Processing (NLP) techniques to address challenges in patient recruitment for improved efficiency in drug development. A prototype system based on modern NLP techniques has been developed to match patient records with phase 1 oncology clinical trial protocols. Four criteria are considered for the matching: cancer type, performance status, genetic mutation, and measurable disease. The system outputs a summary matching score along with explanations of the evidence. The outputs of the AI system were evaluated against the ground truth matching results provided by the domain expert on a dataset of twelve synthesized dummy patient records and six clinical trial protocols. The system achieved a precision of 73.68%, sensitivity/recall of 56%, accuracy of 77.78%, and specificity of 89.36%. Further investigation into the misclassified cases indicated that ambiguity of abbreviation and misunderstanding of context are significant contributors to errors. The system found evidence of no matching for all false positive cases. To the best of our knowledge, no system in the public domain currently deploys an explainable AI-based approach to identify optimal patients for phase 1 oncology trials. This initial attempt to develop an AI system for patients and clinical trial matching in the context of phase 1 oncology trials showed promising results that are set to increase efficiency without sacrificing quality in patient-trial matching.

Deep brain stimulation targets in drug-resistant epilepsy: Systematic review and meta-analysis of effectiveness and predictors of response.

PURPOSE: Anterior nucleus of the thalamus (ANT) is the only deep brain stimulation (DBS) target that is approved by the FDA for treatment of drug-resistant epilepsy (DRE). Hippocampus (HC) and centromedian nucleus (CMN) have been reported as potential DBS targets for DRE. This study aimed to assess the effectiveness and predictors of response among DRE patients treated with DBS in general and among ANT, HC and CMN DBS-targets. METHODS: A systematic search was executed on PubMed, SCOPUS and the Cochrane Central Register of Controlled Trials (CENTRAL) electronic databases between Jan 1, 2000 and June 29, 2020. Patients with DRE who underwent DBS treatment with at least three months of follow-up were included. Individual patient data (IPD) meta-analysis was conducted on DBS studies with available IPD. Response was defined as ≥50 % reduction in seizures frequency. Responders group was compared with non-responders group in terms of demographics, epilepsy/seizure characteristics, MRI findings, and DBS targets and duration of use. Subsequently, predictors of response to different DBS targets were investigated. RESULTS: Thirty-nine studies with a total of 296 patients (ANT: 69 %, HC: 11 %, CMN: 21 %) were included. The responders group constituted of 209 patients (70.6 %). The response was significantly higher in patients with generalized seizures compared to those with focal seizures (93.2% vs 63.9 %; p < 0.001). Response was significantly higher with CMN (83.9 %) and HC (77.4 %) compared with ANT (65.5 %) as DBS targets (p = 0.014). Response was also significantly associated with longer duration of DBS use (p = 0.008). The responder rate was higher among the patients with lesional MRIs (76.7 %) than those with non-lesional MRIs (66.7 %), but with no statistically significant difference (p = 0.134). Age, gender, epilepsy etiology, onset zone of focal seizures, and previous use of VNS had no significant differences between the responders and non-responders. A binary logistic regression including the seizure type, MRI findings, DBS targets, and DBS duration showed, after controlling for confounders, that the duration of DBS use was the only significant predictor of response (adjusted OR 1.061; 95 % CI 1.019-1.106; p = 0.005). Regarding DBS targets, the response rate in patients with symptomatic etiology was significantly higher with HC or CMN targets than the ANT (p = 0.003). In patients with non-lesional MRI, response rate was significantly higher with the CMN target compared to the other two targets (p = 0.008). CONCLUSION: DBS proves to be effective in DRE, with progressive success upon longer treatment and possibility of improving quality of life. In addition to focal seizures, DBS has potential for treating generalized seizures as well. While the ANT stands as the most utilized and only approved DBS target for DRE, CMN and HC are alternative targets with high seizure control potential. Patients with symptomatic etiology showed significant seizure reduction when HC or CMN were targeted. Studies revealed noticeable effectiveness of CMN-DBS in treating patients with non-lesional MRI. Despite ANT prominence in research, our findings suggest promising outcomes with CMN and HC, emphasizing the need for future larger-scale comparative clinical trials to better understand the efficacy of different DBS targets.

Association of Baseline Tumor-Specific Neoantigens and CD8+ T-Cell Infiltration With Immune-Related Adverse Events Secondary to Immune Checkpoint Inhibitors.

PURPOSE: Recent evidence has shown that higher tumor mutational burden strongly correlates with an increased risk of immune-related adverse events (irAEs). By using an integrated multiomics approach, we further studied the association between relevant tumor immune microenvironment (TIME) features and irAEs. METHODS: Leveraging the US Food and Drug Administration Adverse Event Reporting System, we extracted cases of suspected irAEs to calculate the reporting odds ratios (RORs) of irAEs for cancers treated with immune checkpoint inhibitors (ICIs). TIME features for 32 cancer types were calculated on the basis of the cancer genomic atlas cohorts and indirectly correlated with each cancer's ROR for irAEs. A separate ICI-treated cohort of non-small-cell lung cancer (NSCLC) was used to evaluate the correlation between tissue-based immune markers (CD8+, PD-1/L1+, FOXP3+, tumor-infiltrating lymphocytes [TILs]) and irAE occurrence. RESULTS: The analysis of 32 cancers and 33 TIME features demonstrated a significant association between irAE RORs and the median number of base insertions and deletions (INDEL), neoantigens (r = 0.72), single-nucleotide variant neoantigens (r = 0.67), and CD8+ T-cell fraction (r = 0.51). A bivariate model using the median number of INDEL neoantigens and CD8 T-cell fraction had the highest accuracy in predicting RORs (adjusted r2 = 0.52, P = .002). Immunoprofile assessment of 156 patients with NSCLC revealed a strong trend for higher baseline median CD8+ T cells within patients' tumors who experienced any grade irAEs. Using machine learning, an expanded ICI-treated NSCLC cohort (n = 378) further showed a treatment duration-independent association of an increased proportion of high TIL (>median) in patients with irAEs (59.7% v 44%, P = .005). This was confirmed by using the Fine-Gray competing risk approach, demonstrating higher baseline TIL density (>median) associated with a higher cumulative incidence of irAEs (P = .028). CONCLUSION: Our findings highlight a potential role for TIME features, specifically INDEL neoantigens and baseline-immune infiltration, in enabling optimal irAE risk stratification of patients.

Clinical and biomarker results from a phase II trial of combined cabozantinib and durvalumab in patients with chemotherapy-refractory colorectal cancer (CRC): CAMILLA CRC cohort.

CAMILLA is a basket trial (NCT03539822) evaluating cabozantinib plus the ICI durvalumab in chemorefractory gastrointestinal cancer. Herein, are the phase II colorectal cohort results. 29 patients were evaluable. 100% had confirmed pMMR/MSS tumors. Primary endpoint was met with ORR of 27.6% (95% CI 12.7-47.2%). Secondary endpoints of 4-month PFS rate was 44.83% (95% CI 26.5-64.3%); and median OS was 9.1 months (95% CI 5.8-20.2). Grade≥3 TRAE occurred in 39%. In post-hoc analysis of patients with RAS wild type tumors, ORR was 50% and median PFS and OS were 6.3 and 21.5 months respectively. Exploratory spatial transcriptomic profiling of pretreatment tumors showed upregulation of VEGF and MET signaling, increased extracellular matrix activity and preexisting anti-tumor immune responses coexisting with immune suppressive features like T cell migration barriers in responders versus non-responders. Cabozantinib plus durvalumab demonstrated anti-tumor activity, manageable toxicity, and have led to the activation of the phase III STELLAR-303 trial.

Next generation immuno-oncology biomarkers in gastrointestinal cancer: what does the future hold?

INTRODUCTION: Gastrointestinal (GI) cancers pose a significant health burden worldwide, necessitating advancements in diagnostic and treatment approaches. One promising avenue is the utilization of next-generation biomarkers, which hold the potential to revolutionize GI cancer management. AREAS COVERED: This review explores the latest breakthroughs and expert opinions surrounding the application of next-generation immunotherapy biomarkers. It encompasses various aspects of the currently utilized biomarkers of immunotherapy in the context of GI cancers focusing on microsatellite stable cancers. It explores the promising research on the next generation of biomarkers addressing the challenges associated with integrating them into clinical practice and the need for standardized protocols and regulatory guidelines. EXPERT OPINION: Immune profiling, multiplex immunohistochemistry, analysis of immune cell subsets, and novel genomic and epigenomic markers integrated with machine-learning approaches offer new avenues for identifying robust biomarkers. Liquid biopsy-based approaches, such as circulating tumor DNA (ctDNA) and exosome-based analyses, hold promise for real-time monitoring and early detection of treatment response.

Targeted and Immunotherapy Approaches in HER2-Positive Gastric and Gastroesophageal Junction Adenocarcinoma: A New Era.

HER2-targeted therapy with the HER2 monoclonal antibody trastuzumab has achieved impressive outcomes in the first-line settings of patients with advanced gastric and gastroesophageal junction (GEJ) adenocarcinoma overexpressing HER2. However, considering that a substantial proportion of those patients eventually relapses, as well as the relatively limited performance of those agents in second-line settings, a deeper understanding of resistance mechanisms is needed for enhanced guidance for patients' therapeutic selection in the second-line setting and beyond. In this review, we highlight trastuzumab's (HER2-targeting agent) performance in patients with gastric or GEJ cancer, with insight into mechanisms of resistance. We also discuss the new integration of PD-1 inhibitor pembrolizumab into the trastuzumab for gastric cancer frontline regimen, the latest addition of trastuzumab deruxtecan to the treatment armamentarium, and the potential of pipeline HER2-targeting approaches and combinations in patients with gastric or GEJ adenocarcinoma.

Brief Report: Prognostic Relevance of 3q Amplification in Squamous Cell Carcinoma of the Lung.

Introduction: Amplification of 3q is the most common genetic alteration identified in squamous cell carcinoma of the lung (LUSC), with the most frequent amplified region being 3q26 to 3q28. Methods: In this analysis, we aim to describe the prognostic relevance of 3q amplification by focusing on a minimal common region (MCR) of amplification constituted of 25 genes. We analyzed 511 cases of LUSC from The Cancer Genome Atlas and included 476 in the final analysis. Results: We identified a 25-gene MCR that was amplified in 221 (44.3%) cases and was associated with better disease-specific survival (not reported [NR] versus 9.25 y, 95% confidence interval [CI]: 5.24-NR, log-rank p = 0.011) and a progression-free interval of 8 years (95% CI: 5.1-NR) versus 4.9 years (95% CI: 3.5-NR, log-rank p = 0.020). Multivariable analysis revealed that MCR amplification was associated with improved disease-specific survival and progression-free interval. Conclusions: Amplification of the 25-gene MCR within 3q was present in 44% of this cohort, consisting mainly of Caucasian patients with early stage LUSC. This analysis strongly indicates the prognostic relevance of the 25-gene MCR within 3q. We are further evaluating its prognostic and predictive relevance in a racially diverse patient population with advanced LUSC.

Expression of lymphoid structure-associated cytokine/chemokine gene transcripts in tumor and protein in serum are prognostic of melanoma patient outcomes.

Background: Proinflammatory chemokines/cytokines support development and maturation of tertiary lymphoid structures (TLS) within the tumor microenvironment (TME). In the current study, we sought to investigate the prognostic value of TLS-associated chemokines/cytokines (TLS-kines) expression levels in melanoma patients by performing serum protein and tissue transcriptomic analyses, and to then correlate these data with patients clinicopathological and TME characteristics. Methods: Levels of TLS-kines in patients' sera were quantitated using a custom Luminex Multiplex Assay. The Cancer Genomic Atlas melanoma cohort (TCGA-SKCM) and a Moffitt Melanoma cohort were used for tissue transcriptomic analyses. Associations between target analytes and survival outcomes, clinicopathological variables, and correlations between TLS-kines were statistically analyzed. Results: Serum of 95 patients with melanoma were evaluated; 48 (50%) female, median age of 63, IQR 51-70 years. Serum levels of APRIL/TNFSF13 were positively correlated with levels of both CXCL10 and CXCL13. In multivariate analyses, high levels of serum APRIL/TNFSF13 were associated with improved event-free survival after adjusting for age and stage (HR = 0.64, 95% CI 0.43-0.95; p = 0.03). High expression of APRIL/TNFSF13 tumor transcripts was significantly associated with improved OS in TCGA-SKCM (HR = 0.69, 95% CI 0.52-0.93; p = 0.01) and in Moffitt Melanoma patients (HR = 0.51, 95% CI: 0.32-0.82; p = 0.006). Further incorporation of CXCL13 and CXCL10 tumor transcript levels in a 3-gene index revealed that high APRIL/CXCL10/CXCL13 expression was associated with improved OS in the TCGA SKCM cohort (HR = 0.42, 95% CI 0.19-0.94; p = 0.035). Melanoma differentially expressed genes positively associated with high APRIL/CXCL10/CXCL13 tumor expression were linked to tumor infiltration by a diverse array of proinflammatory immune cell types. Conclusion: Serum protein and tumor transcript levels of APRIL/TNFSF13 are associated with improved survival outcomes. Patients exhibiting high coordinate expression of APRIL/CXCL10/CXCL13 transcripts in their tumors displayed superior OS. Further investigation of TLS-kine expression profiles related to clinical outcomes in larger cohort studies is warranted.

Hepatocellular carcinoma and immunotherapy: Beyond immune checkpoint inhibitors.

Hepatocellular carcinoma (HCC) is one of the deadliest and most common malignancies of the liver. Considering the rich immune background of carcinogenesis in HCC, efforts have been focused on further understanding the role of the immune system in tumor suppression and promotion. The utilization of immunotherapy in HCC has led to encouraging results that has translated to longer survival and better quality of life among patients. The development of novel HCC-tailored regimens such as vaccine therapy and adoptive cellular therapy coupled with a deeper understanding of biomarkers predictive of the response to immunotherapy will lead to better treatment outcomes.

Deep brain stimulation use in treating multiple sclerosis tremor: A practical approach for meta-analyses.

Deep brain stimulation (DBS) has been introduced as a treatment option for multiple sclerosis (MS) related tremor. Recent emerging studies have investigated its efficacy and safety, yet no study has systematically assessed the evidence on this topic. Zali and colleagues have conducted the first systematic review and meta-analysis on the use of DBS in MS tremor patients. In this letter, we highlight some points in their meta-analysis regarding high heterogeneity levels that reflect some methodological concerns related to pooling studies with considerable variability. We also suggest some approaches to address this problem.

Insight on BRAFV600E mutated colorectal cancer immune microenvironment.

Colorectal cancer (CRC) is the second deadliest malignancy for both sexes. The BRAFV600E mutation, one of the most common driver mutations in CRC, is known for its poor prognosis due to the increased risk of metastasis. The effect of the BRAFV600E mutation on the tumor microenvironment was the topic of the study reported in World Journal of Gastrointestinal Oncology, with special focus on immune status. The authors presented insightful findings that were exclusively based on macrophage polarity and cytokine levels, without investigating other relevant immune elements. A more comprehensive look into the dynamic immune activity of cancer environments will warrant more meaningful practical findings. In this letter, we discuss other significant immune factors and their possible implications on the tumor microenvironment of BRAF-mutated CRC.

The Crosstalk between Microbiome and Immunotherapeutics: Myth or Reality.

The gut microbiome refers to microorganisms and their genetic material influencing local and systemic inflammation. Inflammation is known to contribute to cancer development, progression, and treatment. Evidence suggests that modulating the gut microbiome may affect responses to various cancer therapies. The gut microbiota has been suggested to have an impact on immunotherapy efficacy, especially the currently widely used immune checkpoint inhibitors in various malignancies. Microbial interventions like fecal microbiota transplantation, various probiotics, or even antibiotics can increase or decrease the tumor's sensitivity to immunotherapy. However, not all tumors react in the same manner, highlighting the tumor microenvironment heterogeneity across tumor types and the influence this has on the crosstalk between the microbiome and therapy outcomes. In this study, we intend to review the association between the gut microbiota and immunotherapy response in cancer patients and the factors regulating this interaction.