Impact of an Inter-Professional Clinic on Pancreatic Cancer Outcomes: A Retrospective Cohort Study.

Background: Pancreatic ductal adenocarcinoma (PDAC) presents significant challenges in diagnosis, staging, and appropriate treatment. Furthermore, patients with PDAC often experience complex symptomatology and psychosocial implications that require multi-disciplinary and inter-professional supportive care management from health professionals. Despite these hurdles, the implementation of inter-professional clinic approaches showed promise in enhancing clinical outcomes. To assess the effectiveness of such an approach, we examined the impact of the Wallace McCain Centre for Pancreatic Cancer (WMCPC), an inter-professional clinic for patients with PDAC at the Princess Margaret Cancer Centre (PM). Methods: This retrospective cohort study included all patients diagnosed with PDAC who were seen at the PM before (July 2012-June 2014) and after (July 2014-June 2016) the establishment of the WMCPC. Standard therapies such as surgery, chemotherapy, and radiation therapy remained consistent across both time periods. The cohorts were compared in terms of survival rates, disease stage, referral patterns, time to treatment, symptoms, and the proportion of patients assessed and supported by nursing and allied health professionals. Results: A total of 993 patients were included in the review, comprising 482 patients pre-WMCPC and 511 patients post-WMCPC. In the multivariate analysis, adjusting for ECOG (Eastern Cooperative Oncology Group) and stage, it was found that post-WMCPC patients experienced longer median overall survival (mOS, HR 0.84, 95% CI 0.72-0.98, p = 0.023). Furthermore, the time from referral to initial consultation date decreased significantly from 13.4 to 8.8 days in the post-WMCPC cohort (p < 0.001), along with a reduction in the time from the first clinic appointment to biopsy (14 vs. 8 days, p = 0.022). Additionally, patient-reported well-being scores showed improvement in the post-WMCPC cohort (p = 0.02), and these patients were more frequently attended to by nursing and allied health professionals (p < 0.001). Conclusions: The implementation of an inter-professional clinic for patients diagnosed with PDAC led to improvements in overall survival, patient-reported well-being, time to initial assessment visit and pathological diagnosis, and symptom management. These findings advocate for the adoption of an inter-professional clinic model in the treatment of patients with PDAC.

KRAS Allelic Variants in Biliary Tract Cancers.

Importance: Biliary tract cancers (BTCs) contain several actionable molecular alterations, including FGFR2, IDH1, ERBB2 (formerly HER2), and KRAS. KRAS allelic variants are found in 20% to 30% of BTCs, and multiple KRAS inhibitors are currently under clinical investigation. Objectives: To describe the genomic landscape, co-sequence variations, immunophenotype, genomic ancestry, and survival outcomes of KRAS-mutated BTCs and to calculate the median overall survival (mOS) for the most common allelic variants. Design, Setting, and Participants: This retrospective, multicenter, pooled cohort study obtained clinical and next-generation sequencing data from multiple databases between January 1, 2017, and December 31, 2022. These databases included Princess Margaret Cancer Centre, MD Anderson Cancer Center, Foundation Medicine, American Association for Cancer Research Project GENIE, and cBioPortal for Cancer Genomics. The cohort comprised patients with BTCs who underwent genomic testing. Main Outcome and Measure: The main outcome was mOS, defined as date of diagnosis to date of death, which was measured in months. Results: A total of 7457 patients (n = 3773 males [50.6%]; mean [SD] age, 63 [5] years) with BTCs and genomic testing were included. Of these patients, 5813 had clinical outcome data available, in whom 1000 KRAS-mutated BTCs were identified. KRAS allelic variants were highly prevalent in perihilar cholangiocarcinoma (28.6%) and extrahepatic cholangiocarcinoma (36.1%). Thirty-six KRAS allelic variants were identified, and the prevalence rates in descending order were G12D (41%), G12V (23%), and Q61H (8%). The variant G12D had the highest mOS of 25.1 (95% CI, 22.0-33.0) months compared with 22.8 (95% CI, 19.6-31.4) months for Q61H and 17.8 (95% CI, 16.3-23.1) months for G12V variants. The majority of KRAS-mutated BTCs (98.9%) were not microsatellite instability-high and had low tumor mutational burden (ranging from a median [IQR] of 1.2 (1.2-2.5) to a mean [SD] of 3.3 [1.3]). Immune profiling through RNA sequencing of KRAS and NRAS-mutated samples showed a pattern toward a more immune-inflamed microenvironment with higher M1 macrophage activation (0.16 vs 0.12; P = .047) and interferon-γ expression compared with wild-type tumors. The G12D variant remained the most common KRAS allelic variant in all patient ancestries. Patients with admixed American ancestry had the highest proportion of G12D variant (45.0%). Conclusions and Relevance: This cohort study found that KRAS allelic variants were relatively common and may be potentially actionable genomic alterations in patients with BTCs, especially perihilar cholangiocarcinoma and extrahepatic cholangiocarcinoma. The findings add to the growing data on genomic and immune landscapes of KRAS allelic variants in BTCs and are potentially of value to the planning of specific therapies for this heterogeneous patient group.

Machine Learning to Allocate Palliative Care Consultations During Cancer Treatment.

PURPOSE: For patients with advanced cancer, early consultations with palliative care (PC) specialists reduce costs, improve quality of life, and prolong survival. However, capacity limitations prevent all patients from receiving PC shortly after diagnosis. We evaluated whether a prognostic machine learning system could promote early PC, given existing capacity. METHODS: Using population-level administrative data in Ontario, Canada, we assembled a cohort of patients with incurable cancer who received palliative-intent systemic therapy between July 1, 2014, and December 30, 2019. We developed a machine learning system that predicted death within 1 year of each treatment using demographics, cancer characteristics, treatments, symptoms, laboratory values, and history of acute care admissions. We trained the system in patients who started treatment before July 1, 2017, and evaluated the potential impact of the system on PC in subsequent patients. RESULTS: Among 560,210 treatments received by 54,628 patients, death occurred within 1 year of 45.2% of treatments. The machine learning system recommended the same number of PC consultations observed with usual care at the 60.0% 1-year risk of death, with a first-alarm positive predictive value of 69.7% and an outcome-level sensitivity of 74.9%. Compared with usual care, system-guided care could increase early PC by 8.5% overall (95% CI, 7.5 to 9.5; P < .001) and by 15.3% (95% CI, 13.9 to 16.6; P < .001) among patients who live 6 months beyond their first treatment, without requiring more PC consultations in total or substantially increasing PC among patients with a prognosis exceeding 2 years. CONCLUSION: Prognostic machine learning systems could increase early PC despite existing resource constraints. These results demonstrate an urgent need to deploy and evaluate prognostic systems in real-time clinical practice to increase access to early PC.

Real-world outcomes associated with bevacizumab combined with chemotherapy in platinum-resistant ovarian Cancer.

OBJECTIVES: The addition of bevacizumab to chemotherapy for platinum-resistant (PL-R) ovarian cancer (OC) improved progression-free (PFS) but not overall survival (OS) in clinical trials. We explored real-world outcomes in Ontario, Canada, and compared survival in the pre- and post-bevacizumab era. METHODS: Administrative databases were utilized to identify all patients treated with bevacizumab for PL-R OC. Time on treatment (ToT) was used as surrogate for PFS. Median OS was determined using the Kaplan-Meier method. Factors associated with ToT/OS were identified using a Cox proportional hazard model. A before and after comparative effectiveness analysis was performed to determine mOS for patients treated pre- and post-bevacizumab approval. RESULTS: From 2017 to 2019, 176 patients received bevacizumab. Median ToT was 3 months and OS was 11 months. Sixty-four percent received liposomal doxorubicin and 34% received paclitaxel. ToT (6 vs 3 months; HR 0.44; p < 0.0001) and OS (14 vs 9 months; HR 0.45; p = 0.0089) were longer with bevacizumab/paclitaxel. OS was not significantly different pre- and post-bevacizumab funding (8 vs 9 months; HR 1.01; 0.937). Median OS increased for those receiving paclitaxel (6 vs 11 months), but those in the post group were younger, more likely to have undergone primary surgery and had less co-morbidities. CONCLUSION: Real-world outcomes with bevacizumab in PL-R OC are inferior to those in the pivotal clinical trial. Survival has not significantly improved since funding became publicly available, indicating a substantial efficacy-effectiveness gap between trial and real-world outcomes. Median OS and ToT were significantly better when bevacizumab was given with paclitaxel.

An assessment of extended pembrolizumab dosing in advanced non-small-cell lung cancer in the COVID-19 pandemic.

Background: There are limited clinical data comparing extended dosing (ED) versus standard dosing (SD) of pembrolizumab for metastatic non-small-cell lung cancer. Methods: This retrospective study included patients with metastatic non-small-cell lung cancer and PD-L1 tumor proportion score ≥50% treated with one or more cycles of single-agent pembrolizumab with SD or ED from January 2018 to December 2020. Results: A higher proportion of patients were alive in the ED group (vs SD) at 6 months (94 vs 51%), 12 months (94 vs 33%) and data cutoff (94 vs 26%) (p < 0.001 for all). The rate (44 vs 32%; p = 0.407) and severity of grade ≥3 immune-related adverse events were similar (50 vs 52%); however, ED patients more frequently discontinued treatment due to toxicity (45 vs 15%; p < 0.001). Conclusion: A greater proportion of ED patients were alive at data cutoff, and the rate and severity of immune-related adverse events were similar between groups.

Cancer in the lungs can be treated with drugs that use your immune system to kill cancer. This study showed that patients lived longer when the drugs were given further apart, and that the extended treatment was equally safe as the standard dosing schedule.

Small Cell Lung Cancer in Light/Never Smokers - A Role for Molecular Testing?

This report describes the management of small cell lung cancer (SCLC) transformation in a patient with untreated ALK-mutated advanced disease and a minimal smoking history, and a separate case of a de novo SCLC in a lifelong nonsmoker found to have a potentially targetable ERBB2 alteration. In the first case, chemotherapy followed by a targeted inhibitor was chosen due to the presence of the ALK rearrangement, as well as a somewhat discordant response to induction chemotherapy, suggesting possible progression of the ALK inhibitor-sensitive component. Molecular testing for the identification of driver mutations should be considered in patients with SCLC who have light/never smoking histories in order to help understand the incidence and ultimate optimal management strategies.

A study of the efficacy and toxicity outcomes of extended durvalumab dosing in patients with stage III unresectable non-small cell lung cancer (NSCLC) during the COVID-19 pandemic.

BACKGROUND: Durvalumab following chemoradiation in unresectable stage III non-small cell lung cancer (NSCLC) has led to improved outcomes. The schedule of administration has been determined by pharmacokinetic studies. This study evaluates real-world efficacy and safety outcomes of extended dosing (ED) vs. standard dosing (SD) of durvalumab. METHODS: Stage III NSCLC patients treated at the Cancer center of Southeastern Ontario with consolidative durvalumab from March 2017-December 2020 were included. Patient characteristics and outcomes were evaluated through retrospective review. Comparisons were made using chi-square and t-tests. Kaplan-Meier curves were used to analyze overall survival (OS). RESULTS: A total of 35 patients were included; 15 (43%) switched to ED. Distant recurrence rates were higher in the ED group (53% vs. 20%, p = 0.07), with no differences in the sites of disease recurrence. A similar proportion of patients were alive in the ED vs. SD group (93% vs. 80%, p = 0.3), with no significant difference in OS. There were less grade 3 or greater immune-related adverse events in the ED group (0% vs. 20%). Treatment discontinuation occurred in 47% vs. 50% in the ED vs. SD groups, respectively, owing to toxicity in 20% of patients in the ED group vs. 40% in the SD group. CONCLUSIONS: Extended dosing has similar efficacy and toxicity to standard dosing; however, there was a higher rate of toxicity necessitating discontinuation in the SD group, which may have impacted the clinical decision-making to switch to ED. Our data is limited by a small sample size and should be further validated in larger cohorts.

The association between perioperative frailty and ability to complete a web-based geriatric assessment among older adults with cancer.

INTRODUCTION: The aim of this study was to assess the degree to which patient frailty is associated with both need for assistance and time required to complete the eRFA, a web-based GA tool. MATERIALS AND METHODS: We retrospectively identified patients who underwent surgery for cancer from 2015 to 2020, had a hospital length of stay ≥1 day, and completed the eRFA before surgery. Frailty was assessed using two methods: the MSK-FI (score 0-11) and the AGD (score 0-13). Time to complete the eRFA was automatically recorded by a web-based tool; assistance with eRFA completion was self-reported by the patient. RESULTS: In total, 3456 patients were included (median age, 78 years). Overall, 58% of surveys were completed without assistance, 30% were completed with assistance, and 12% were completed by someone other than the patient. Younger age (median age: without assistance, 77 years; with assistance, 80 years; completed by someone else, 80 years) and lower frailty score (median AGD: 4, 6, and 8, respectively; median MSK-FI: 2, 3, and 3, respectively) were associated with independency (all p < 0.001). Higher frailty score was associated with longer time to complete the eRFA (all nonlinear association p < 0.001). CONCLUSION: Frail patients are more likely to benefit from completion of GA to determine appropriate treatment. Given that not all cancer patients have a caregiver who can assist completing a digital questionnaire, innovative solutions are needed to help frail patients complete the eRFA without assistance.

No association between BMI and immunotoxicity or clinical outcomes for immune checkpoint inhibitors.

Background: The impact of BMI on immune checkpoint inhibitor toxicity and efficacy has not been clearly characterized. Methods: The authors conducted a retrospective single-center study of patients with advanced unresectable/metastatic cancer initiated on immune checkpoint inhibitors. Results: Of the 409 patients included in the study, 115 (28%) had a BMI ≥30. There was no difference in the development of immune-related adverse events, treatment response or overall survival with respect to BMI <30 versus ≥30 for the whole study population or the melanoma subgroup. Conclusion: Patients with BMI in the obese range (≥30) were not at increased risk of immunotoxicity. Furthermore, BMI was not correlated with treatment response or overall survival in patients receiving immune checkpoint inhibitors.

Several previous studies have suggested that obesity may be correlated with improved efficacy of immunotherapy and raised the concern that obesity may be associated with increased immunotoxicity; however, other studies have not replicated these findings. The authors evaluated the records from one center of 409 patients with advanced cancer on immune checkpoint inhibitors. There was no difference with respect to adverse events, treatment response or survival between obese and nonobese patients.

Social support for older adults with cancer: Young International Society of Geriatric Oncology review paper.

Older adults with cancer have increasing needs in physical, cognitive, and emotional domains, and they can experience decline in all domains with the diagnosis and treatment of cancer. Social support plays a key role in supporting these patients, mitigating negative effects of diagnosis and treatment of cancer, and improving cancer outcomes. We review the importance of social support in older adults with cancer, describe the different components of social support and how they are measured, discuss current interventions that are available to improve social support in older adults, and describe burdens on caregivers. We also highlight Dr. Arti Hurria's contributions to recognizing the integral role of social support to caring for older adults with cancer.

Hepatocellular carcinoma in older adults: A comprehensive review by Young International Society of Geriatric Oncology.

Given the prevalence and the rising incidence of hepatocellular carcinoma (HCC) in older adults worldwide, there is an urgent need to improve our understanding of the implications of treatment modalities in this population. The care of older patients with HCC is challenging due to the lack of evidence-based recommendations in this population. The current treatment approach for older patients relies on extrapolation of data from clinical trials conducted mostly in younger patients or fit older adults. Further, in the last few years, the arsenal of systemic treatments has increased with currently seven FDA-approved therapies available for patients with advanced HCC. Therefore, understanding how to apply current data to this unique and diverse patient population is necessary. This review will aim to shed light on the approach to older adults with HCC through an assessment of available data in the literature.