Esteban Marrufo Sumano

Precision in high-risk surgical fields has evolved into a multidimensional paradigm that integrates technological innovation, advanced surgical techniques, and structured perioperative care. This review analyzes the translational principles shared between general surgery, neurosurgery, and minimally invasive approaches, with the aim of understanding how these elements interact to improve surgical outcomes. A structured integrative review was conducted using high-impact literature published from 2020 onward, focusing on key domains such as artificial intelligence, intraoperative monitoring, advanced visualization, laparoscopic and robotic surgery, and Enhanced Recovery After Surgery (ERAS) protocols. The findings demonstrate that precision in surgery is not determined by a single factor, but by the coordinated interaction of multiple components. Minimally invasive techniques serve as the structural foundation, while visualization technologies and intraoperative monitoring enhance real-time decision-making and safety. Artificial intelligence contributes to the standardization and support of surgical cognition, and perioperative protocols optimize recovery and reduce complications. Together, these elements form an integrated system that extends beyond the operating room and encompasses the entire surgical process. The review also highlights the adaptability of these principles across diverse healthcare settings, including regions such as Mexico, Colombia, and Ecuador, where variability in resources requires context-sensitive implementation. Ultimately, precision surgery is defined as a system-based approach that aligns technique, technology, and perioperative care to achieve optimal patient outcomes. This framework has important implications for clinical practice, surgical education, and future research.

Cancer is currently recognized as a systemic and multifactorial disease involving complex interactions between metabolism, immunity, endocrinology, inflammation, and the tumor microenvironment. The objective of this review was to analyze the metabolic and immune interactions involved in tumor progression from an integrative systemic perspective. A narrative review methodology was employed using scientific literature indexed in PubMed, Scopus, Web of Science, and ScienceDirect between 2020 and 2025. The analyzed evidence demonstrated that tumor progression depends not only on genetic alterations but also on metabolic reprogramming, chronic inflammatory signaling, endocrine dysfunction, immune suppression, and adaptive modifications within the tumor microenvironment. Malignant cells exhibit metabolic flexibility characterized by increased glycolysis, glutamine dependency, altered lipid metabolism, and mitochondrial adaptations that promote survival under hypoxic and nutrient-deprived conditions. Simultaneously, metabolic competition and accumulation of immunosuppressive metabolites impair cytotoxic immune responses and favor immune evasion. Obesity, insulin resistance, hyperinsulinemia, adipokine imbalance, and chronic low-grade inflammation were identified as important systemic contributors to carcinogenesis and tumor dissemination. The review additionally highlighted the relevance of cancer-associated cachexia, chronic inflammation, and therapeutic resistance as systemic manifestations of malignant disease. Current evidence supports the development of integrated therapeutic strategies combining metabolic modulation, immunotherapy, endocrine intervention, and anti-inflammatory approaches. Overall, this review reinforces the concept that cancer progression results from continuous communication between malignant cells and host physiology, emphasizing the importance of multidisciplinary and systemic perspectives in contemporary oncology.

Perioperative systemic inflammation is a complex physiological response generated by surgical trauma and represents one of the principal determinants of postoperative outcomes in modern surgical practice. This review aimed to analyze the multisystem impact of perioperative inflammation, including its pathophysiological mechanisms, inflammatory biomarkers, organ dysfunction, and current perioperative management strategies. A structured narrative review was conducted using scientific literature obtained from international databases including PubMed, Scopus, ScienceDirect, and related peer-reviewed medical sources. The analyzed evidence demonstrated that perioperative inflammation involves coordinated activation of cytokines, neuroendocrine pathways, endothelial dysfunction, oxidative stress, and immune dysregulation. Elevated inflammatory markers such as interleukin-6, C-reactive protein, and neutrophil-to-lymphocyte ratio were consistently associated with postoperative complications including cardiovascular instability, pulmonary dysfunction, acute kidney injury, infectious complications, delayed gastrointestinal recovery, and prolonged hospitalization. Modern perioperative strategies such as Enhanced Recovery After Surgery protocols, minimally invasive surgery, multimodal analgesia, immunonutrition, and goal-directed physiological optimization demonstrated beneficial effects in reducing inflammatory burden and improving postoperative recovery. The findings emphasize that perioperative systemic inflammation should be understood as a multisystem process requiring multidisciplinary perioperative management. Continued research focused on personalized inflammatory profiling, biomarker-guided monitoring, and targeted immunomodulation may contribute to improved postoperative outcomes and more individualized surgical care in the future.

Cardiovascular diseases remain the leading cause of morbidity and mortality worldwide, driven by complex interactions between metabolic, hemodynamic, and inflammatory factors. In recent years, the concept of the cardiovascular–vascular continuum has emerged as a comprehensive model that integrates cardiac and peripheral vascular diseases into a single systemic process. This review aims to analyze current evidence regarding this continuum, emphasizing the importance of early detection, global risk assessment, and coordinated management between cardiology and angiology. A structured narrative review was conducted using high-impact literature published from 2020 onward, including international clinical guidelines, randomized trials, and large observational studies. The analysis focused on the pathophysiology of atherosclerosis, the interaction of major cardiovascular risk factors, the clinical expression of disease across multiple vascular territories, and the implementation of integrated prevention and treatment strategies. The findings demonstrate that cardiovascular risk is cumulative and synergistic, with hypertension, dyslipidemia, diabetes mellitus, smoking, and obesity acting as central drivers of systemic vascular damage. Peripheral arterial disease and polyvascular involvement were identified as key markers of advanced atherosclerosis and increased risk of major adverse cardiovascular events. Additionally, the evidence supports the role of early detection strategies and multidisciplinary care models in improving clinical outcomes.

Minimally invasive surgery has undergone significant transformation with the emergence of next-generation laparoscopy, characterized by the integration of ergonomic optimization, advanced visualization technologies, and intelligent assistance systems. This review aims to analyze the current state and future perspectives of laparoscopic surgery through these three core domains, emphasizing their combined impact on surgical performance, intraoperative safety, and clinical outcomes. A narrative review of high-impact literature published from 2020 onward was conducted, focusing on technological advancements and their application across diverse healthcare settings. The findings indicate that ergonomics remains a critical factor influencing surgeon performance and long-term sustainability, while innovations in visualization—such as three-dimensional imaging and fluorescence guidance—enhance spatial perception and operative precision. Additionally, the incorporation of artificial intelligence is redefining surgical workflows by enabling real-time analysis, safety assessment, and decision support. Despite these advances, disparities in access and implementation persist, particularly in middle-income regions such as Mexico, Colombia, and Ecuador. The evidence suggests that a progressive and context-adapted integration of these technologies is essential to ensure both innovation and accessibility. Ultimately, next-generation laparoscopy represents a shift toward a more integrated, data-driven, and human-centered surgical paradigm.

Decision-making in general surgery frequently occurs under conditions of uncertainty, where surgeons must integrate clinical judgment, risk assessment, timing, and system-level factors to optimize patient outcomes. This review aims to analyze current evidence on decision-making processes in general surgery, focusing on risk stratification, timing of intervention, and perioperative strategies. A structured narrative review was conducted using high-impact literature indexed in international databases, including multicenter cohort studies, systematic reviews, and validated predictive models. The findings demonstrate that higher preoperative risk is consistently associated with worse postoperative outcomes, particularly in urgent and emergency surgical settings. Timing of intervention emerged as a critical determinant, with elective procedures showing significantly lower mortality and complication rates compared to non-elective surgery. Additionally, structured perioperative strategies, including enhanced recovery protocols and safety systems, were associated with reduced complications and shorter hospital stays. The results also highlight that postoperative outcomes follow an interconnected pattern, where complications contribute to prolonged hospitalization, readmission, and mortality. Furthermore, the analysis underscores the importance of system-level factors, particularly in middle-income countries such as Mexico, Colombia, and Ecuador, where variability in resources and infrastructure influences surgical outcomes. The integration of data-driven tools and multidisciplinary approaches was identified as a key component in improving decision-making under uncertainty. In conclusion, optimizing surgical decision-making requires an integrated approach that combines objective risk assessment, timely intervention, structured perioperative care, and adaptation to local healthcare contexts. This framework supports improved patient outcomes and advances the quality of surgical care in diverse clinical settings.

Tumor adaptation and therapeutic resistance remain central challenges in modern oncology despite significant advances in targeted therapy and immunotherapy. Contemporary evidence indicates that resistance is not an isolated pharmacologic failure but an emergent property of evolving tumor ecosystems characterized by intratumoral heterogeneity, clonal selection, immune modulation, and tumor microenvironmental support. This review synthesizes landmark mechanistic and translational studies to construct an integrated framework linking evolutionary dynamics, signaling plasticity, immune escape, and precision oncology implementation. Across targeted therapies, resistance frequently develops through pathway reactivation, bypass signaling, and adaptive rewiring under selective pressure. In immunotherapy, resistance involves immune editing, checkpoint regulation complexity, impaired antigen presentation, and stromal-mediated immune exclusion. The tumor microenvironment further stabilizes therapy-tolerant populations through niche protection and cytokine-driven suppression. Genome-driven oncology provides a translational pathway for personalization; however, effective precision strategies must be dynamic and iterative, accounting for tumor evolution rather than relying on static baseline profiling. This integrative perspective supports improved therapeutic reasoning, multidisciplinary decision-making, and context-adapted implementation in diverse healthcare systems, including emerging oncology infrastructures in Latin America. Understanding resistance as an evolutionary and ecological phenomenon strengthens both clinical strategy design and advanced oncology education.