Topography of mutational signatures in non-small cell lung cancer: emerging concepts, clinical applications, and limitations.

The genome of a cell is continuously battered by a plethora of exogenous and endogenous processes that can lead to damaged DNA. Repair mechanisms correct this damage most of the time, but failure to do so leaves mutations. Mutations do not occur in random manner, but rather typically follow a more or less specific pattern due to known or imputed mutational processes. Mutational signature analysis is the process by which the predominant mutational process can be inferred for a cancer and can be used in several contexts to study both the genesis of cancer and its response to therapy. Recent pan-cancer genomic efforts such as "The Cancer Genome Atlas" have identified numerous mutational signatures that can be categorized into single base substitutions, doublet base substitutions, or small insertions/deletions. Understanding these mutational signatures as they occur in non-small lung cancer could improve efforts at prevention, predict treatment response to personalized treatments, and guide the development of therapies targeting tumor evolution. For non-small cell lung cancer, several mutational signatures have been identified that correlate with exposures such as tobacco smoking and radon and can also reflect endogenous processes such as aging, APOBEC activity, and loss of mismatch repair. Herein, we provide an overview of the current knowledge of mutational signatures in non-small lung cancer.

Chronic Myeloid Leukemia, Version 2.2024, NCCN Clinical Practice Guidelines in Oncology.

Chronic myeloid leukemia (CML) is defined by the presence of Philadelphia chromosome resulting from a reciprocal translocation between chromosomes 9 and 22 [t9;22] that gives rise to a BCR::ABL1 fusion gene. CML occurs in 3 different phases (chronic, accelerated, and blast phase) and is usually diagnosed in the chronic phase in developed countries. Tyrosine kinase inhibitor (TKI) therapy is a highly effective treatment option for patients with chronic phase-CML. The primary goal of TKI therapy in patients with chronic phase-CML is to prevent disease progression to accelerated phase-CML or blast phase-CML. Discontinuation of TKI therapy with careful monitoring is feasible in selected patients. This manuscript discusses the recommendations outlined in the NCCN Guidelines for the diagnosis and management of patients with chronic phase-CML.

Outcomes Following Implementation of an Electronic Model for Perioperative Hematologic Consultation.

INTRODUCTION: Electronic consultations (e-consults) for periprocedural hematologic questions were introduced at the VA Connecticut Healthcare System in 2011. We sought to explore the relationship between the availability of e-consults, referral patterns, and surgical outcomes. METHODS: A single-center retrospective study of all perioperative hematologic consultations from 2006 to 2018 was conducted. Patient characteristics, indications, and outcomes were analyzed. Primary outcome measures were time from consult to surgery and operative morbidity via Clavien-Dindo classification. Secondary outcomes included consult volume and procedural outcomes of interest. RESULTS: Of 357 consultations, 62% were conducted via e-consults. 68.3% had associated procedural data and constituted the study cohort. Annual consult volume increased from 7 in 2006 to 41 in 2018, a 5.8-fold increase. E-consults comprised 20% of consults in 2011 but had risen to 92.3% in 2018. Time to resolution of e-consults after 2011 improved compared to pre-face-to-face (FTF-pre, P = 0.001) and FTF-post (P = 0.002). Time from consult to surgery remained unchanged. 8.4% had major complications (Clavien-Dindo >2) with readmission or reoperation occurring in 4.0% and 3.7%, respectively. Intraoperative and postoperative transfusions were required in 15.2% and 13.1% of cases, respectively. Hematologic complications (i.e., deep vein thrombosis/pulmonary embolism) occurred in 3.5%. Comparison between FTF and e-consults revealed no significant differences in these outcomes (P > 0.05, all). CONCLUSIONS: E-consults for perioperative hematologic issues were rapidly adopted and addressed more quickly than FTF consultation while time to surgery was unchanged despite increased consult volume. Adoption of the e-consult model was not associated with changes in the assessed operative outcomes.

Chronic Myeloid Leukemia, Version 2.2021, NCCN Clinical Practice Guidelines in Oncology.

Chronic myeloid leukemia (CML) is defined by the presence of Philadelphia chromosome (Ph) which results from a reciprocal translocation between chromosomes 9 and 22 [t(9;22] that gives rise to a BCR-ABL1 fusion gene. CML occurs in 3 different phases (chronic, accelerated, and blast phase) and is usually diagnosed in the chronic phase. Tyrosine kinase inhibitor therapy is a highly effective first-line treatment option for all patients with newly diagnosed chronic phase CML. This manuscript discusses the recommendations outlined in the NCCN Guidelines for the diagnosis and management of patients with chronic phase CML.

RRx-001 followed by platinum plus etoposide in patients with previously treated small-cell lung cancer.

BACKGROUND: This exploratory single-arm phase II study evaluated the efficacy and safety of RRx-001 followed by reintroduction of platinum plus etoposide in patients with previously treated small-cell lung cancer (SCLC). METHODS: Patients were treated with RRx-001 4 mg IV on day 1 of each week of a 21-day cycle followed at progression by re-challenge with etoposide 80-100 IV mg/m2 on days 1, 2 and 3 and cisplatin 60-80 mg/m2 IV on day 1 or carboplatin AUC 5-6 IV on day 1, every 21 days. The primary end points were overall survival (OS) and overall response rate to platinum regimen. RESULTS: Twenty-six patients were enroled and received at least one dose of RRx-001. The median number of prior lines of therapy was 2 (range 1-9) and 19 (73.1%) patients had platinum-resistant disease. In the intention-to-treat population, one patient (3.8%) had complete response and six (23.1%) had partial response on platinum plus etoposide. The estimated median and 12-month OS from enrolment were 8.6 months and 44.1%, respectively. The most common treatment-emergent adverse event from RRx-001 was mild discomfort at the infusion site (23%). CONCLUSIONS: RRx-001 followed by re-challenge with platinum plus etoposide chemotherapy is feasible and associated with promising results. CLINICAL TRIAL REGISTRATION: NCT02489903.

Chronic Myeloid Leukemia, Version 1.2019, NCCN Clinical Practice Guidelines in Oncology.

Chronic myeloid leukemia (CML) is defined by the presence of Philadelphia chromosome (Ph), resulting from a reciprocal translocation between chromosomes 9 and 22 [t(9;22] that gives rise to a BCR-ABL1 fusion gene. CML occurs in 3 different phases (chronic, accelerated, and blast phase) and is usually diagnosed in the chronic phase. Tyrosine kinase inhibitor (TKI) therapy is a highly effective first-line treatment option for all patients with newly diagnosed chronic phase CML (CP-CML). The selection TKI therapy should be based on the risk score, toxicity profile of TKI, patient's age, ability to tolerate therapy, and the presence of comorbid conditions. This manuscript discusses the recommendations outlined in the NCCN Guidelines for the diagnosis and management of patients with CP-CML.

NCCN Guidelines Insights: Chronic Myeloid Leukemia, Version 1.2017.

The NCCN Guidelines for Chronic Myeloid Leukemia (CML) provide recommendations for the management of chronic-phase and advanced-phase CML in adult patients. The median age of disease onset is 67 years. However, because CML occurs in all age groups, clinical care teams should be prepared to address issues relating to fertility and pregnancy with patients who are of reproductive age at the time of diagnosis. CML is relatively rare in children and there are no evidence-based recommendations for the management of CML in pediatric population. These NCCN Guidelines Insights discuss special considerations for the management of CML during pregnancy and for the management of CML in the pediatric population.

A Phase II trial of weekly bortezomib and dexamethasone in veterans with newly diagnosed multiple myeloma not eligible for or who deferred autologous stem cell transplantation.

Once-weekly administration of bortezomib has reduced bortezomib-induced peripheral neuropathy without affecting response rates, but this has only been demonstrated prospectively in three- and four- drug combinations. We report a phase II trial of alternate dosing and schedule of bortezomib and dexamethasone in newly diagnosed multiple myeloma patients who are not eligible for or refused autologous stem cell transplantation. Bortezomib 1·6 mg/m(2) intravenously was given once-weekly for six cycles, together with dexamethasone 40 mg on the day of and day after bortezomib. Fifty patients were enrolled; 58% did not require any dose modification. The majority of patients had multiple co-morbidities, including cardiovascular (76%) and renal insufficiency (54%), and the median number of medications prior to enrollment was 13. Of all evaluable patients, the overall response rate was 79% and at least 45% had at least a very good partial response. The median time to first response was 1·3 months (range, 0·25-2·4 months). The progression-free and overall survivals were 8 months and 46·5 months, respectively. Twenty-four percent developed worsening neuropathy. We conclude that alternate dosing and scheduling of bortezomib and dexamethasone is both safe and effective for management of newly diagnosed multiple myeloma in frail patients. (ClinicalTrials.gov number, NCT01090921).

Systemic Therapy for Advanced Hepatocellular Carcinoma: ASCO Guideline Update.

PURPOSE: To update an evidence-based guideline to assist in clinical decision-making for patients with advanced hepatocellular carcinoma (HCC). METHODS: ASCO convened an Expert Panel to update the 2020 guideline on systemic therapy for HCC. The panel updated the systematic review to include randomized controlled trials (RCTs) published through October 2023 and updated recommendations. RESULTS: Ten new RCTs met the inclusion criteria and were added to the evidence base. RECOMMENDATIONS: Atezolizumab + bevacizumab (atezo + bev) or durvalumab + tremelimumab (durva + treme) may be offered first-line for patients with advanced HCC, Child-Pugh class A liver disease, and Eastern Cooperative Oncology Group performance status 0-1. Where there are contraindications to these therapies, sorafenib, lenvatinib, or durvalumab may be offered first-line. Following first-line treatment with atezo + bev, second-line therapy with a tyrosine kinase inhibitor (TKI), ramucirumab (for patients with alpha-fetoprotein [AFP] ≥400 ng/mL), durva + treme, or nivolumab + ipilimumab (nivo + ipi) may be recommended for appropriate candidates. Following first-line therapy with durva + treme, second-line therapy with a TKI is recommended. Following first-line treatment with sorafenib or lenvatinib, second-line therapy options include cabozantinib, regorafenib for patients who previously tolerated sorafenib, ramucirumab (AFP ≥400 ng/mL), nivo + ipi, or durvalumab; atezo + bev or durva + treme may be considered for patients who did not have access to these therapies in the first-line setting, and do not have contraindications. Pembrolizumab or nivolumab are also options for appropriate patients following sorafenib or lenvatinib. Third-line therapy may be considered in Child-Pugh class A patients with good PS, using one of the agents listed previously that has a nonidentical mechanism of action with previously received therapy. A cautious approach to systemic therapy is recommended for patients with Child-Pugh class B advanced HCC. Further guidance on choosing between options is included within the guideline.Additional information is available at www.asco.org/gastrointestinal-cancer-guidelines.

Effects of androgen deprivation on brain function in prostate cancer patients - a prospective observational cohort analysis.

BACKGROUND: Despite a lack of consensus regarding effectiveness, androgen deprivation therapy (ADT) is a common treatment for non-metastatic, low-risk prostate cancer. To examine a particular clinical concern regarding the possible impact of ADT on cognition, the current study combined neuropsychological testing with functional magnetic resonance imaging (fMRI) to assess both brain activation during cognitive performance as well as the integrity of brain connectivity. METHODS: In a prospective observational cohort analysis of men with non-metastatic prostate cancer at a Veterans Affairs medical center, patients receiving ADT were compared with patients not receiving ADT at baseline and at 6 months. Assessments included fMRI, the N-back task (for working memory), the stop-signal task (for cognitive control), and a quality of life questionnaire. RESULTS: Among 36 patients enrolled (18 in each group), 30 completed study evaluations (15 in each group); 5 withdrew participation and 1 died. Results for the N-back task, stop-signal task, and quality of life were similar at 6 months vs. baseline in each group. In contrast, statistically significant associations were found between ADT use (vs. non use) and decreased medial prefrontal cortical activation during cognitive control, as well as decreased connectivity between the medial prefrontal cortex and other regions involved with cognitive control. CONCLUSIONS: Although ADT for 6 months did not affect selected tests of cognitive function, brain activations during cognitive control and functional brain connectivity were impaired on fMRI. The long-term clinical implications of these changes are not known and warrant future study.

Colonic in situ mantle cell lymphoma.

This report describes the first case, to our knowledge, of in situ mantle cell lymphoma (MCL) in the gastrointestinal tract identified retrospectively by immunostains and fluorescence in situ hybridization (FISH) analysis after progression to disseminated disease with pleomorphic morphology several years later. A 45-year-old man with blood per rectum underwent colonoscopy and had random biopsies interpreted as benign colonic mucosa. Two years later, he presented with ileocolic intussusception related to enlarged lymph nodes. Biopsies on the second presentation demonstrated widespread MCL. Reevaluation of the original colonic biopsies showed cyclin D1-positive cells within small lymphoid aggregates, confirmed by FISH for t(11;14). Postchemotherapy, lymphoid aggregates in colonic biopsies showed scattered cyclin D1- and FISH t(11;14)-positive cells, similar to the original in situ lymphoma. We discuss this case in the context of the current understanding of the evolution of MCL and the difficulties associated with detecting primary GI lymphoma.

Barriers and facilitators to lung cancer screening and follow-up.

Two randomized trials have shown that lung cancer screening (LCS) with low dose computed tomography (LDCT) reduces lung cancer mortality in patients at high-risk for lung malignancy by identifying early-stage cancers, when local cure and control is achievable. The implementation of LCS in the United States has revealed multiple barriers to preventive cancer care. Rates of LCS are disappointingly low with estimates between 5%-18% of eligible patients screened. Equally concerning, follow-up after baseline screening is far lower than that of clinical trials (44-66% v >90%). To optimize the benefits of LCS, programs must identify and address factors related to LCS participation and follow-up while concurrently recognizing and mitigating barriers. As a relatively new screening test, the most effective processes for LCS are uncertain. Therefore, LCS programs have adopted a wide range of approaches without clearly established best practices to guide them, particularly in rural and resource-limited settings. In this narrative review, we identify barriers and facilitators to LCS, focusing on those studies in non-clinical trial settings - reflecting "real world" challenges. Our goal is to identify effective and scalable LCS practices that will increase LCS participation, improve adherence to follow-up, inform strategies for quality improvement, and support new research approaches.

Impact of Hematology Electronic Consultations on Utilization of Referrals and Patient Outcomes in an Integrated Health Care System.

INTRODUCTION: Electronic consultations (e-consults) may be a valuable tool in the current era of increased demand for hematologists. Despite the increasing use of e-consults in hematology, their optimal utilization and impact on patient outcomes and workload are largely unknown. METHODS: In this retrospective cohort study, we studied the hematology consult experience at Veterans Affairs Connecticut from 2006 to 2018. We included 7,664 hematology consults (3,240 e-consults and 4,424 face-to-face [FTF] consults) requested by 1,089 unique clinicians. RESULTS: We found that e-consults were rapidly adopted and used equally among physicians of different degrees of experience. The number of FTF consults did not decrease after the introduction of e-consult services. E-consults were preferentially used for milder laboratory abnormalities that had been less likely to result in a consult before their availability. Referring clinicians used e-consults preferentially for periprocedural management, anemia, leukopenia, and anticoagulation questions. Eighty-three percent of e-consults were resolved without needing an FTF visit in the year after the consult. Consults for pancytopenia, gammopathy, leukocytosis, and for patients with known malignancy were less likely to be resolved by e-consult. Among patients who were diagnosed with a new hematologic malignancy after their consult, having an e-consult before an FTF visit did not adversely affect survival. CONCLUSION: In summary, e-consults safely expanded delivery of hematology services in our health care system but increased total consult volume. We report novel data on what types of consults may be best suited to the electronic modality, the impact of e-consults on workload, and their optimal use and implementation.

Cancer tracking system improves timeliness of liver cancer care at a Veterans Hospital: A comparison of cohorts before and after implementation of an automated care coordination tool.

INTRODUCTION: Hepatocellular carcinoma (HCC) requires complex care coordination. Patient safety may be compromised with untimely follow-up of abnormal liver imaging. This study evaluated whether an electronic case-finding and tracking system improved timeliness of HCC care. METHODS: An electronic medical record-linked abnormal imaging identification and tracking system was implemented at a Veterans Affairs Hospital. This system reviews all liver radiology reports, generates a queue of abnormal cases for review, and maintains a queue of cancer care events with due dates and automated reminders. This is a pre-/post-intervention cohort study to evaluate whether implementation of this tracking system reduced time between HCC diagnosis and treatment and time between first liver image suspicious for HCC, specialty care, diagnosis, and treatment at a Veterans Hospital. Patients diagnosed with HCC in the 37 months before tracking system implementation were compared to patients diagnosed with HCC in the 71 months after its implementation. Linear regression was used to calculate mean change in relevant intervals of care adjusted for age, race, ethnicity, BCLC stage, and indication for first suspicious image. RESULTS: There were 60 patients pre-intervention and 127 post-intervention. In the post-intervention group, adjusted mean time from diagnosis to treatment was 36 days shorter (p = 0.007), time from imaging to diagnosis 51 days shorter (p = 0.21), and time from imaging to treatment 87 days shorter (p = 0.05). Patients whose imaging was performed for HCC screening had the greatest improvement in time from diagnosis to treatment (63 days, p = 0.02) and from first suspicious image to treatment (179 days, p = 0.03). The post-intervention group also had a greater proportion of HCC diagnosed at earlier BCLC stages (p<0.03). CONCLUSIONS: The tracking system improved timeliness of HCC diagnosis and treatment and may be useful for improving HCC care delivery, including in health systems already implementing HCC screening.

Brief Report: Implementation of a Universal Prescreening Protocol to Increase Recruitment to Lung Cancer Studies at a Veterans Affairs Cancer Center.

Introduction: The oncology clinical trial recruitment process is time, labor, and resource intensive, and poor accrual rates are common. We describe the VA Connecticut Cancer Center experience of implementing a standardized, universal prescreening protocol and its impact on thoracic oncology research recruitment. Methods: Research coordinators prescreened potentially eligible patients with confirmed or suspected cancer from multiple clinical sources and entered relevant patient and research study information into a centralized electronic database. The database provided real-time lists of potential studies for each patient. This enabled the research team to alert the patient's oncologist in advance of clinic visits and to prepare documents needed for enrollment. Clinicians could ensure sufficient time and attention in clinic to the informed consent process, therefore maximizing enrollment opportunities. Patients were also monitored on waitlists for future studies. Results: From March 2017 to December 2020, a total of 1518 patients with lung nodules and suspected or confirmed lung cancers were prescreened. Of these, 379 patients were enrolled to a study, 103 patients declined participation, and 639 were monitored for future studies. Our prescreening protocol identified all new patients with lung cancer who were ultimately added to the cancer registry. We found a substantial increase in study enrollment after prescreening implementation. Conclusions: Universal prescreening was associated with improved patient enrollment to thoracic oncology studies. The protocol was integral in our VA becoming the top accruing VA site for National Cancer Institute's National Clinical Trials Network studies for 2019 to 2021.

Aggressive End-of-Life Care in the Veterans Health Administration versus Fee-for-Service Medicare among Patients with Advanced Lung Cancer.

Background: Unlike fee-for-service Medicare, the Veterans Health Administration (VHA) allows for the provision of concurrent care, incorporating cancer treatment while in hospice. Methods: We compared trends of aggressive care at end of life between Medicare and VHA decedents with advanced nonsmall cell lung cancer from 2006 to 2012, and the relation between regional level end-of-life care between Medicare and VHA beneficiaries. Results: Among 18,371 Veterans and 25,283 Medicare beneficiaries, aggressive care at end of life decreased 15% in VHA and 4% in SEER (Surveillance, Epidemiology, and End Results)-Medicare (p < 0.001). Hospice use significantly increased within both cohorts (VHA 28%-41%; SM 60%-73%, p < 0.001). Veterans receiving care in regions with higher hospice admissions among Medicare beneficiaries were significantly less likely to receive aggressive care at end of life (adjusted odds ratio: 0.13, 95% confidence interval: 0.08-0.23, p < 0.001). Conclusions: Patients receiving lung cancer care in the VHA had a greater decline in aggressive care at end of life, perhaps due to increasing concurrent care availability.

A Machine Learning Model to Successfully Predict Future Diagnosis of Chronic Myelogenous Leukemia With Retrospective Electronic Health Records Data.

BACKGROUND: Chronic myelogenous leukemia (CML) is a clonal stem cell disorder accounting for 15% of adult leukemias. We aimed to determine if machine learning models could predict CML using blood cell counts prior to diagnosis. METHODS: We identified patients with a diagnostic test for CML (BCR-ABL1) and at least 6 consecutive prior years of differential blood cell counts between 1999 and 2020 in the largest integrated health care system in the United States. Blood cell counts from different time periods prior to CML diagnostic testing were used to train, validate, and test machine learning models. RESULTS: The sample included 1,623 patients with BCR-ABL1 positivity rate 6.2%. The predictive ability of machine learning models improved when trained with blood cell counts closer to time of diagnosis: 2 to 5 years area under the curve (AUC), 0.59 to 0.67, 0.5 to 1 years AUC, 0.75 to 0.80, at diagnosis AUC, 0.87 to 0.92. CONCLUSIONS: Blood cell counts collected up to 5 years prior to diagnostic workup of CML successfully predicted the BCR-ABL1 test result. These findings suggest a machine learning model trained with blood cell counts could lead to diagnosis of CML earlier in the disease course compared to usual medical care.