In this study, we used a series of immunohistochemical measurements of 2 cell cycle regulators, p16 and p21, to evaluate their prognostic value, separately and in combination, for the disease outcomes. A total of 101 patients with high-grade osteosarcoma were included in this study. Clinicopathologic data were collected, and immunohistochemistry for p16 and p21 was performed and interpreted by 3 independent pathologists. Statistical analysis was performed to assess the strength of each of these markers relative to disease outcome. Our results indicate that more than 90% expression (high) of p16 by immunohistochemistry on the initial biopsy has a strong predictive value for good histologic response to chemotherapy. The patients are also more likely to survive the past 5 years and less likely to develop metastasis than patients with less than 90% p16 (low) expression. The results for p21, on the other hand, show a unique pattern of relationship to the clinicopathologic outcomes of the disease. Patients with less than 1% (low) or more than 50% (high) expression of p21 by immunohistochemistry show a higher chance of metastasis, poor necrotic response to chemotherapy, and an overall decreased survival rate when compared with p21 expression between 1% and 50% (moderate). Our results also showed that the expression of p16 and combined p16 and p21 demonstrates a stronger predictive relationship to 5-year survival than tumor histologic necrosis and p21 alone. The results of this study, once proven to be reproducible by a larger number of patients, will be valuable in the initial assessment and risk stratification of the patients for treatment and possibly the clinical trials.

The advent of effective immunotherapy, specifically cytotoxic T-lymphocyte associated protein 4 and programmed cell death 1 inhibitors, as well as targeted therapy including BRAF/MEK inhibitors, has dramatically changed the prognosis for metastatic melanoma patients. Up to 50% of patients may experience long-term survival currently. Despite these advances in melanoma treatment, many patients still progress and die of their disease. As such, there are many studies aimed at providing new treatment options for this population. Therapies currently under investigation include, but are not limited to, novel immunotherapies, targeted therapies, tumor-infiltrating lymphocytes and other cellular therapies, oncolytic viral therapy and other injectables, and fecal microbiota transplant. In this review, we discuss the emerging treatment options for metastatic melanoma patients who have progressed on standard of care treatments.

During the COVID-19 pandemic, there was an unprecedented growth in telemedicine due to the need to provide safe access to care during a global pandemic. The regulatory, compliance, and payment policy landscape favorably changed, paving the way for growth in utilization. Despite these favorable changes in the landscape, operational and technical burdens remained barriers to optimal use of telemedicine. Investments in operational processes and vendor selection can improve the patient and clinician experience in using telemedicine, so this digital tool can diminish burnout.

This chapter will discuss (1) the rationale for physician workforce diversity and inclusion in oncology; (2) current and historical physician workforce demographic trends in oncology, including workforce data at various training and career levels, such as graduate medical education and as academic faculty or practicing physicians; (3) reported barriers and challenges to diversity and inclusion in oncology, such as exposure, access, preparation, mentorship, socioeconomic burdens, and interpersonal, structural, systemic bias; and (4) potential interventions and evidence-based solutions to increase diversity, equity, and inclusion and mitigate bias in the oncology physician workforce.

Hepatocellular carcinoma (HCC) represents a significant global burden, with management complicated by its heterogeneity, varying presentation, and relative resistance to therapy. Recent advances in the understanding of the genetic, molecular, and immunological underpinnings of HCC have allowed a detailed classification of these tumors, with resultant implications for diagnosis, prognostication, and selection of appropriate treatments. Through the correlation of genomic features with histopathology and clinical outcomes, we are moving toward a comprehensive and unifying framework to guide our diagnostic and therapeutic approach to HCC.

Stereotactic body radiation therapy has emerged as a safe and effective treatment modality for properly selected hepatocellular cancer (HCC) patients with normal liver function. However, many HCC patients have reduced baseline liver function due to underlying cirrhosis or prior liver-directed therapies. Therefore, because of the increased risk of hepatotoxicity, the use of stereotactic body radiation therapy for patients with reduced liver function has been approached with caution. Individualized, response-based radiotherapy incorporates models, imaging tools, and biomarkers that determine the dose-response relationship of the liver before, during, and after treatment and has been useful in reducing the likelihood of liver damage without sacrificing tumor control. This review discusses the evolution of response-based radiotherapy for HCC and highlights areas for further investigation.

Novel immunotherapeutics for advanced melanoma have drastically changed survival rates and management strategies in recent years. Immune checkpoint inhibitors have emerged as efficacious agents for some patients but have not been proven to be as beneficial in other patient cohorts. Recent investigation into this observation has implicated the gut microbiome as a potential immunomodulator in regulating patient response to therapy. Numerous studies have provided evidence for this link. Bacterial colonization patterns have been associated with therapeutic outcomes, under the notion that favorable commensal organisms improve host immune response. This review aims to report the most recent and pertinent findings related to the relationship between gut microbial communities and melanoma therapy efficacy. This article also highlights the emerging frontier of artificial intelligence in its application regarding patient microbial composition evaluation, predictive models for therapy response, and recommendations for the future of probiotics and dietary interventions to optimize melanoma survival and outcomes.

The gut microbiome and liver are anatomically and functionally connected. The impact of the gut microbiota or microbial metabolites on liver cancer progression via immune cells has been recently revealed across various preclinical models. Commensal gut microbes of liver cancer patients differ from control subjects, and their composition is affected by the etiology of the hepatocellular carcinoma. The gut microbiota represents a potential novel target for intervention as shown in patients with melanoma, but we still lack data in patients with hepatocellular carcinoma. Fecal microbiota transplantation and dietary approaches may improve immunotherapy efficacy, and a couple of clinical trials are ongoing. In liver cancer, the ongoing recognition of interactions between gut microbes and the tumor immune microenvironment provides an exciting therapeutic avenue to complement established immunotherapy.

Precision cancer care, for essentially all cancer types, now requires molecular diagnostics to assess mutations, chromosomal alterations, and gene expression to personalize treatments for individual patients. Advances in the diagnostics and treatment options have moved the field forward from fundamental discoveries beginning in the 1960s to the development of many targeted therapies that can be as specific as targeting a single-base-pair mutation. Herein is a brief historical perspective on cancer precision medicine with current diagnostic, prognostic, and treatment stratification guidance for early- and late-stage cancers.

Targeted therapy in oncology brings with it the promise to maximize cancer cell cytotoxicity with minimal off-target effects. Antibody-drug conjugates (ADCs), an important group of such targeted agents, consist of a monoclonal antibody conjugated to a potent cytotoxic drug. In the field of leukemia, ADCs form an important component of therapeutic arsenal through the use of gemtuzumab ozogamicin in acute myeloid leukemia and inotuzumab ozogamicin (InO) in B-cell acute lymphoblastic leukemia, 2 approved agents. A recombinant fusion protein, tagraxofusp, which function similar to ADC, has gained approval for therapy in blastic plasmacytic dendritic cell neoplasm. The use of such agents as monotherapy or as part of a combination therapy has led to improved response rates and outcomes in certain specific disease subtypes and has led to further studies to identify novel cellular targets and improved delivery of cytotoxic agents using ADC. In this review, we will discuss about ADCs in myeloid leukemia and understand their development and current use in the field.