Manochakian, Rami

Lung cancer remains the leading cause of cancer-related mortality worldwide. Although small cell lung cancer (SCLC) accounts for a smaller percentage of lung cancer cases, it has remained a significant contributor to the overall mortality burden because of its inherently aggressive nature. Over several years, and until recently, there have been no major breakthroughs in the management of SCLC. Concurrent chemoradiation with platinum doublet chemotherapy has remained the mainstay of treatment in limited-stage disease, with chemotherapy being the main and only treatment in extensive stage. Despite having an initial good response to those treatments in most patients, progression of cancer has been nearly inevitable, with no additional effective therapeutic options, and the majority of patients with SCLC dying of their disease. Fortunately, the last decade has witnessed some major scientific advances addressing the huge unmet needs in the realm of SCLC management and ushered in renewed hope in the lung cancer community. From approval of immune checkpoint inhibitors and lurbinectedin, a newer chemotherapy agent, to novel immunotherapies such as tarlatamab, a DLL3-CD3 bispecific T-cell engager, and other upcoming promising drugs, the therapeutic armamentarium for SCLC is steadily expanding. In this study, we review the current landscape of both systemic therapy as well as radiation therapy for SCLC, with a focus on major developments over the past decade, current standards of care, and novel therapeutics that are expected to revolutionize the treatment of this aggressive malignancy.

PURPOSE Artificial intelligence (AI) has been rapidly evolving in medicine. While there are existing data about the perceptions and concerns of health care workers regarding AI, those of the hematology and oncology (HemOnc) workforce remain unknown. We assessed opinions of physicians (faculty and fellows), advanced practice providers (APPs), and nurses in HemOnc on integrating AI in medical education (MedEd) and clinical practice (CP). METHODS Group-specific electronic surveys were developed. The HemOnc workforce from the three Mayo Clinic sites was invited to participate. Participation was anonymous, with data collection between November 7, 2024, and January 20, 2025. Results were reported as proportions, with 95% binomial CI when appropriate. RESULTS A total of 344 participants responded, 118 physicians (77 faculty, 41 fellows), 49 APPs, and 177 nurses. Most had used AI although less than half felt very or moderately knowledgeable about it. A total of 95% of fellows, 97% of faculty physicians, 96% of APP, and 92% of nurses believe that AI will be integrated in MedEd. A total of 94% of physicians and 88% of nonphysicians believe that this integration would be beneficial. In CP, 98% of fellows, 96% of faculty physicians, 100% of APPs, and 92% of nurses believe in AI's integration. However, 51% of physicians and 68% of nonphysicians had some concerns, including technology time, medical costs, and burnout. Nonetheless, 85% of fellows, 94% of faculty physicians, 98% of APPs, and 86% of nurses would embrace AI. CONCLUSION The majority of this single health system HemOnc's workforce endorsed AI integration into MedEd and CP but highlighted relevant concerns. Proper education, effective partnership among all stakeholders, and well-organized integration are essential for optimizing AI's incorporation into HemOnc's MedEd and CP and ensuring that it fully supports the mission of providing high-quality patient care.

In the rapidly evolving field of oncology, education and knowledge sharing have become essential aspects of oncology practice and must-needed tools to help patients conquer cancer. Oncology education is an art that needs to be mastered by applying scientific learning methods through structured frameworks into it, in order to have an impact. To effectively educate and share knowledge with oncology professionals, we propose following a “chain of education”. This chain consists of five links that are essential for creating a successful educational activity: “who”, “why”, “where”, “what”, and “how”. By following the “chain of education” through all links leading to the final key of how to educate, and guided by learning science principles, educators can optimize and enhance their teaching and knowledge-sharing skills and educate learners with more impact. Two common scenarios of medical education in oncology are the education of trainees and the education of community oncologists. In this article, we review them through the prism of the “chain of education”. We discuss how using effective learning science principles can guide small changes that lead to significant impacts in trainees' education and can also leverage social media platforms in the education of community oncologists. Alongside this described framework, we briefly review some available oncology education resources, and we discuss incorporating the “chain of education” into future technologies.

The emergence of immunotherapy has ushered in a new era in the management of non-small cell lung cancer (NSCLC). Various immune check point inhibitors have demonstrated significant benefit in the management of locally advanced NSCLC that are treated with either surgery or concurrent chemoradiation. We provide a comprehensive and up-to-date review of data from key studies, discuss the challenging clinical issue regarding the timing and duration of immunotherapy in patients undergoing surgery, and highlight the unmet needs and future directions of immunotherapy in NSCLC.

PURPOSE International medical graduates (IMGs) are an essential component of the oncology workforce in the United States, comprising a third of all practicing oncologists and almost half of hematology/oncology fellows. In this article, we discuss the contributions of IMGs in the US oncology workforce, review unique challenges faced by IMGs, and propose potential solutions to overcome these challenges. METHODS ASCO's IMG Community of Practice was established with the mission to connect, mentor, guide, raise awareness, and overcome the challenges unique to IMGs interested in pursuing medical oncology in the United States. The content of this article is based on discussions at the IMG Community of Practice meetings at ASCO's 2023 and 2024 Annual Meetings. RESULTS IMGs bring an inherent diversity of thought and experience to the oncology workforce. They provide high-quality, culture- and language-concordant care to a diverse population of patients with cancer. However, IMGs in oncology face significant hardships throughout their careers, including visa-related restrictions, psychosocial and cultural struggles, as well as differential treatment while applying for residency and fellowship training, and early career positions. Greater awareness of these challenges among the members of the hematology/oncology community, along with institutional and individual efforts to support IMGs, is warranted. CONCLUSION We encourage oncology professionals and institutions to join our efforts in recognizing the unique paths of IMGs and providing support and advocacy to maximize the potential of IMGs in the US oncology workforce.

PURPOSE To provide evidence-based recommendations to practicing clinicians on the management of patients with small-cell lung cancer. METHODS An Expert Panel of medical oncology, thoracic surgery, radiation oncology, pulmonary, community oncology, research methodology, and advocacy experts were convened to conduct a literature search, which included systematic reviews, meta-analyses, and randomized controlled trials published from 1990 through 2022. Outcomes of interest included response rates, overall survival, disease-free survival or recurrence-free survival, and quality of life. Expert Panel members used available evidence and informal consensus to develop evidence-based guideline recommendations. RESULTS The literature search identified 95 relevant studies to inform the evidence base for this guideline. RECOMMENDATIONS Evidence-based recommendations were developed to address systemic therapy options, timing of therapy, treatment in patients who are older or with poor performance status, role of biomarkers, and use of myeloid-supporting agents in patients with small-cell lung cancer. Additional information is available at www.asco.org/thoracic-cancer-guidelines .

The practice of oncology continues to evolve over time. Educators find themselves in a position where they are no longer able to teach a topic in its entirety. Moreover, the rapid expansion of information available through research and discovery in the field of oncology makes it difficult for learners to process the constant barrage of new content. Lecturers continue to impart knowledge using didactic techniques, often trying to include as much material as possible in the time permitted. The question becomes: In the face of an impossibly large field, how can one assist learners in learning, and retaining, what is most important? The science of learning continues to develop, and we now recognize that there are ways to teach that optimally facilitate the retention and application of knowledge. By using these strategies, educators can make it easier for learners to absorb and retain key information. This article will touch upon several such techniques: cognitive load optimization, analogy, contrasting cases, elaboration, and just-in-time telling. By applying these methods to didactic presentations, educators can ensure that their lessons are heard, understood, and ultimately transformed into something unforgettable.

The use of social media continues to increase in health care and academia. Health care practice, particularly the oncologic field, is constantly changing because of new knowledge, evidence-based research, clinical trials, and government policies. Therefore, oncology trainees and professionals continue to strive to stay up-to-date with practice guidelines, research, and skills. Although social media as an educational and professional development tool is no longer completely new to medicine and has been embraced, it is still under-researched in terms of various outcomes. Social media plays several key roles in professional development and academic advancement. We reviewed the literature to evaluate how social media can be used for professional development and academic promotion of oncology professionals.

PURPOSE: The benefit of routine pre-emptive screening for severe acute respiratory syndrome coronavirus 2 infections in patients with cancer before cancer-directed therapies is unclear. Herein, we characterize the outcomes of a cohort of patients with cancer who were diagnosed with COVID-19 by routine screening (RS) in comparison with those diagnosed on the basis of clinical suspicion or exposure history (nonroutine screening [NRS]). METHODS: A multisite prospective observational study was conducted at three major and five satellite campuses of the Mayo Clinic Cancer Center between March 18 and July 31, 2020. The primary outcome was COVID-19–related hospital admission. Secondary outcomes included intensive care unit admissions and all-cause mortality. RESULTS: Five thousand four hundred fifty-two patients underwent RS in the outpatient setting only, and 44 (0.81%) were diagnosed with COVID-19. RS detected 19 additional patients from the scheduled inpatient admissions for surgical or interventional procedures or inpatient chemotherapy. One hundred sixty-one patients were diagnosed with COVID-19 on the basis of NRS. COVID-19–related hospitalization rate (17.5% v 26.7%; P = .14), intensive care unit admission (1.6% v 5.6%; P = .19), and mortality (4.8% v 3.7%; P = .72) were not significantly different between the RS and NRS groups. In the multivariable analysis, age ≥ 60 years (odds ratio, 4.4; P = .023) and an absolute lymphocyte count ≤ 1.4 × 109/L (odds ratio, 9.2; P = .002) were independent predictors of COVID-19–related hospital admission. CONCLUSION: The COVID-19 positivity rate was low on the basis of RS. Comparing the hospital admission and mortality outcomes with the NRS cohort, there were no significant differences. The value of routine pre-emptive screening of asymptomatic patients with cancer for COVID-19 remains low.