Opportunity Costs of Surgical Resection and Perioperative Chemotherapy for Locoregional Pancreatic Adenocarcinoma

Home Time Among Older Adults With Acute Myeloid Leukemia Following Chemotherapy

Importance

Patients with acute myeloid leukemia (AML) recognize days spent at home (home time) vs in a hospital or nursing facility as an important factor in treatment decision making. No study has adequately described home time among older adults with AML.

Objective

To describe home time among older adults with AML (aged ≥66 years) and compare home time between 2 common treatments: anthracycline-based chemotherapy and hypomethylating agents (HMAs).

Design, Setting, and Participants

A cohort of adults aged 66 years or older with a new diagnosis of AML from the Surveillance, Epidemiology, and End Results (SEER)-Medicare linked database in 2004 to 2016 was identified. Individuals were stratified into anthracycline-based therapy, HMAs, or chemotherapy, not otherwise specified (NOS) using claims.

Main Outcomes and Measures

The primary outcome was home time, quantified by subtracting the total number of person-days spent in hospitals and nursing facilities from the number of person-days survived and dividing by total person-days. A weighted multinomial regression model with stabilized inverse probability of treatment weighting to estimate adjusted home time was used.

Results

The cohort included 7946 patients with AML: 2824 (35.5%) received anthracyclines, 2542 (32.0%) HMAs, and 2580 (32.5%) were classified as chemotherapy, NOS. Median (IQR) survival was 11.0 (5.0-27.0) months for those receiving anthracyclines and 8.0 (3.0-17.0) months for those receiving HMAs. Adjusted home time for all patients in the first year was 52.4%. Home time was highest among patients receiving HMAs (60.8%) followed by those receiving anthracyclines (51.9%). Despite having a shorter median survival, patients receiving HMAs had more total days at home and 33 more days at home in the first year on average than patients receiving anthracyclines (222 vs 189).

Conclusions and Relevance

This retrospective study of older adults with AML using SEER-Medicare data and propensity score weighting suggests that the additional survival afforded by receiving anthracycline-based therapy was entirely offset by admission to the hospital or to nursing facilities.

Characterization of time toxicity in older patients with metastatic breast cancer

PURPOSE

Recognizing that receiving healthcare can be time intensive and burdensome, time toxicity has been conceptualized as the time spent by patients seeking healthcare. This study investigates the association between age at diagnosis and time toxicity for patients with Metastatic Breast Cancer (MBC) and identifies major components of care that confer the greatest time toxicity.

METHODS

We conducted a retrospective cohort study among patients with MBC aged 67 or older using the SEER-Medicare database. We assessed time toxicity using the number of encounter days patients interacted with the healthcare system per 100 days, within the first year of starting cancer treatment. We used a Poisson model to analyze the association between age and encounter days, adjusting for clinical and sociodemographic factors. We stratified the mean encounter days for each age cohort by treatment types.

FINDINGS

The final sample included 2949 patients; 51.4% were between 70 and 79 years old, and 81.3% were white. Although unadjusted analysis showed an association between older age and more encounter days (Rate Ratio (RR) 1.12; 95% CI 1.02, 1.22), there was no significant association after adjusting for comorbidities and treatment type. Patients with more than three comorbidities had significantly higher encounter days compared to those without comorbidities [RR 1.36 (95% CI 1.26, 1.46)]. Receipt of radiotherapy [RR: 1.45 95% CI (1.37, 1.54)] was associated with more encounter days compared to not receiving radiotherapy, while receipt of bone-modifying agents was associated with fewer encounter days compared to not using Bone modifying agents [RR 0.75 (95% CI 0.70, 0.79)].

CONCLUSION

Our study identified comorbidities and cancer treatment modality, including radiotherapy, as the factors affecting time toxicity in older patients with MBC. Assessment of an individual's comorbid medical conditions and types of treatment planned are crucial to understanding age-related impacts on encounter days and to support shared decision making in older patients.

Reporting time toxicity in prospective cancer clinical trials: A scoping review

PURPOSE

This review aimed to assess the measurement and reporting of time toxicity (i.e., time spent receiving care) within prospective oncologic studies.

METHODS

On July 23, 2023, PubMed, Scopus, and Embase were queried for prospective or randomized controlled trials (RCT) from 1984 to 2023 that reported time toxicity as a primary or secondary outcome for oncologic treatments or interventions. Secondary analyses of RCTs were included if they reported time toxicity. The included studies were then evaluated for how they reported and defined time toxicity.

RESULTS

The initial query identified 883 records, with 10 studies (3 RCTs, 2 prospective cohort studies, and 5 secondary analyses of RCTs) meeting the final inclusion criteria. Treatment interventions included surgery (n = 5), systemic therapies (n = 4), and specialized palliative care (n = 1). The metric "days alive and out of the hospital" was used by 80% (n = 4) of the surgical studies. Three of the surgical studies did not include time spent receiving ambulatory care within the calculation of time toxicity. "Time spent at home" was assessed by three studies (30%), each using different definitions. The five secondary analyses from RCTs used more comprehensive metrics that included time spent receiving both inpatient and ambulatory care.

CONCLUSIONS

Time toxicity is infrequently reported within oncologic clinical trials, with no standardized definition, metric, or methodology. Further research is needed to identify best practices in the measurement and reporting of time toxicity to develop strategies that can be implemented to reduce its burden on patients seeking cancer care.

Efficacy-effectiveness gaps in oncology: Looking beyond survival

The efficacy-effectiveness (EE) gap describes the differences in survival seen in clinical trials and routine clinical practice, where patients in real-world practice often have inferior outcomes compared to trial populations. However, EE gaps may exist beyond survival outcomes, including gaps in quality of life, toxicity, cost-effectiveness, and patient time, and these EE gaps should also influence patient and clinician treatment decisions. Failure to clearly acknowledge these EE gaps may cause patients, clinicians, and health care systems to have unrealistic expectations of the benefits of therapy across a range of important clinical and economic domains. In this commentary, the authors review the evidence supporting the existence of EE gaps in quality of life, time toxicity, cost and toxicities, and urge for further research into this important topic.

Health Care Contact Days Experienced by Decedents With Advanced GI Cancer

PURPOSE

Frequent visits to health care facilities can be time intensive and all-consuming for people with cancer. We measured health care contact days (days with healthcare contact outside the home) among decedents with advanced GI cancer and examined sources of contact days, their associations with demographic and clinical factors, and their temporal patterns over the course of illness.

METHODS

We conducted a retrospective cohort study using a tumor registry and electronic medical record data for decedents with stage IV GI cancer between 2011 and 2019 in a large health care network in MN. We determined contact days from diagnosis to death using chart review. Using multivariable beta regression adjusted for sociodemographic and clinical characteristics offset by survival, we calculated adjusted estimates of contact days and determined patient-level factors associated with percentage of contact days.

RESULTS

We identified 809 patients eligible for analysis (median [IQR] age at diagnosis, 65 [56-73] years). The median (IQR) overall survival was 175 (56-459) days. Patients spent a median (IQR) of 25.8% (17.4%-39.1%) of these as contact days. Of these days, 83.6% were spent on outpatient visits. In the multivariable analysis, older age, Black race, and never receiving systemic cancer-directed treatment were associated with a higher percentage of contact days. The percentage of contact days was highest in the first month after diagnosis (39.6%) and before death (32.2%), with a more moderate middle phase (U-shaped curve).

CONCLUSION

Decedents with advanced GI cancer spend 1 in 4 days alive with health care contact, despite a median survival of under 6 months. This is even higher immediately postdiagnosis and near death. These findings highlight the need to understand sources of variation, benchmark appropriate care, and deliver more efficient care for this vulnerable population with limited time.

PABPC1 promotes cell proliferation and metastasis in pancreatic adenocarcinoma by regulating COL12A1 expression

BACKGROUND

The expression of cytoplasmic poly (A) binding protein-1 (PABPC1) has been reported in multiple cancer types. This protein is known to modulate cancer progression. However, the effects of PABPC1 expression in pancreatic adenocarcinoma (PAAD) have not been investigated. Here, we investigate the regulatory targets and molecular mechanisms of PABPC1 in PAAD.

METHODS

PABPC1 and collagen type XII α1 chain (COL12A1) expression in PAAD and their role in tumor prognosis and tumor stage were investigated using The Cancer Genome Atlas database analysis. After silencing PABPC1, messenger RNA sequencing and Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed. The expression of differentially expressed genes (DEGs), cell viability, apoptosis, and cell migration and invasion were explored using reverse transcription-quantitative polymerase chain reaction, Cell Counting Kit-8 assay, flow cytometry assay, and transwell assay, respectively. The relationship between PABPC1 and COL12A1 expression was assessed by Pearson's correlation analysis. The regulatory function of COL12A1 in PABPC1-affected BXPC3 cell behavior was studied after COL12A1 was overexpressed.

RESULTS

PABPC1 and COL12A1 expression was upregulated in patients with PAAD and was linked to poor prognosis. Four hundred and seventy-four DEGs were observed in BXPC3 cells after PABPC1 silencing. GO and KEGG analyses revealed that the top 10 DEGs were enriched in cell adhesion pathways. Additionally, PABPC1 silencing inhibited cell viability, migration, and invasion and accelerated apoptosis in BXPC3 cells. PABPC1 silencing increased AZGP1 and ARHGAP30 expression and decreased CAV1 and COL12A1 expression in BXPC3 cells. PABPC1 positively mediated COL12A1 expression, whereas PABPC1 knockdown induced the inhibition of BXPC3 cell proliferation, migration, and invasion.

CONCLUSION

The results of this study indicate that PABPC1 may function as a tumor promoter in PAAD, accelerating BXPC3 cell proliferation and metastasis by regulating COL12A1 expression.

Evaluating the Time Toxicity of Cancer Treatment in the CCTG CO.17 Trial

PURPOSE

The time spent in pursuing treatments for advanced cancer can be substantial. We have previously proposed a pragmatic and patient-centered metric of these time costs-which we term time toxicity-as any day with physical health care system contact. This includes outpatient visits (eg, bloodwork, scans, etc), emergency department visits, and overnight stays in a health care facility. Herein, we sought to assess time toxicity in a completed randomized controlled trial (RCT).

METHODS

We conducted a secondary analysis of the Canadian Cancer Trials Group CO.17 RCT that evaluated weekly cetuximab infusions versus supportive care alone in 572 patients with advanced colorectal cancer. Initial results reported a 6-week improvement in median overall survival (OS) with cetuximab (6.1 v 4.6 months). Subsequent analyses reported that benefit was restricted to patients with K-ras wild-type tumors. We calculated patient-level time toxicity by analyzing trial forms. We considered days without health care contact as home days. We compared medians of time measures across arms and stratified results by K-ras status.

RESULTS

In the overall population, median time toxic days were higher in the cetuximab arm (28 v 10, P < .001) although median home days were not statistically different between arms (140 v 121, P = .09). In patients with K-ras-mutated tumors, cetuximab was associated with almost numerically equal home days (114 days v 112 days, P = .571) and higher time toxicity (23 days v 11 days, P < .001). In patients with K-ras wild-type tumors, cetuximab was associated with more home days (186 v 132, P < .001).

CONCLUSION

This proof-of-concept feasibility study demonstrates that measures of time toxicity can be extracted through secondary analyses of RCTs. In CO.17, despite an overall OS benefit with cetuximab, home days were statistically similar across arms. Such data can supplement traditional survival end points in RCTs. Further work should refine and validate the measure prospectively.

Finding the Lowest-Cost Pharmacy for Cancer Supportive Care Medications: Not So Easy

PURPOSE

To decrease the financial burden on people with cancer, clinicians and patients increasingly use medication price comparison websites to seek pharmacies where medications may be cheaper. Shopping around at different pharmacies can add additional time and logistic burden to patients and care partners. We sought to determine whether a single pharmacy consistently offered the lowest price for symptom control medications.

METHODS

We compiled medications/formulations used to manage two common cancer-associated symptoms: nausea/vomiting and anorexia/cachexia. We extracted discounted, lowest price with coupon prices for a typical fill of these medications at nine pharmacies in Minneapolis, MN, using GoodRx. We compared prices across formulations and pharmacies to assess whether a pharmacy consistently offered the lowest price.

RESULTS

We included 24 formulations for nausea/vomiting (14 generic and 10 brand-name) and 19 for anorexia/cachexia (12 generic and seven brand-name). Prices for brand-name formulations were similar across pharmacies, but prices of generic formulations varied widely across pharmacies. For example, the prices of a seven-unit fill of generic 5-mg olanzapine tablets ranged from $4 to $57 US dollars. No single pharmacy consistently offered the lowest price across the formulations studied. For example, for the 12 generic formulations for anorexia/cachexia, one pharmacy had the highest price for four formulations and the lowest price for two others.

CONCLUSION

In this study of discounted medication prices, we found that no single pharmacy in an urban zip code consistently offered the lowest price for medications used to manage two common cancer-associated symptoms. Well-intentioned efforts to pursue the cheapest source of each medication by visiting multiple pharmacies may add extra time and logistic toxicity to patients and care partners. This approach can increase redundant scripts and expose patients to medication-related adverse events.