Patient-reported treatment toxicity and adverse events in Black and White women receiving chemotherapy for early breast cancer

Review of the contribution of clinical and genetic factors to the racial disparity in taxane-induced peripheral neuropathy

Taxanes are first-line chemotherapy for several solid tumors, but their use is often limited by taxane-induced peripheral neuropathy (TIPN), which can cause acute symptoms in up to 70 % of patients and severely deteriorate long-term quality of life. Recent evidence from large prospective observational studies confirms a dramatic racial disparity, with Black/African-ancestry patients facing roughly two times greater risk of TIPN compared to White patients. Understanding the root causes of this disparity is a critical first step toward eliminating inequities in cancer treatment side effects, aligning with a major goal of the U.S. National Cancer Institute's National Cancer Plan. This review examines clinical and genetic factors contributing to racial differences in TIPN, focusing on those that have been associated with TIPN risk and are more prevalent within Black/African-ancestry individuals. Pre-existing neuropathy, vitamin D insufficiency, metabolic risk factors (obesity/diabetes), systemic taxane exposure, and genetic variants are discussed as potential contributors to this racial disparity. The review concludes by describing additional research that is needed to determine which of these factors are responsible for this disparity and what types of translational clinical studies could be conducted to target these mechanisms and reduce inequity. These findings could inform clinical strategies that improve long-term quality of life and promote health equity in taxane-treated cancer patients in the U.S. and globally.

Associations of social vulnerability index with patient-reported outcomes in women treated with chemotherapy for early-stage breast cancer

BACKGROUND

In a convenience sample of women scheduled for chemotherapy for early-stage breast cancer, we investigated associations of the Center for Disease Control and Prevention's neighborhood-level social vulnerability index (SVI) with pretreatment demographics and patient-reported outcome (PRO) measures (health behavior, function and quality of life, treatment toxicities during chemotherapy).

METHODS

The SVI Overall score is comprised of 4 themes: socioeconomic, household composition, minority status/language, and household type/transportation, with scores ranging from 0 = lowest to 1 = highest vulnerability neighborhoods. Participant SVI scores were derived from zip codes listed in the patient's address within the electronic medical record (EMR). Associations of study variables with SVI were evaluated using Spearman correlation for continuous variables and Kruskal-Wallis tests for categorical variables.

RESULTS

In a sample of 309 women, the mean age was 56 years (range 23-83) and 75% White. Greater vulnerability SVI Overall score was associated with lower education (P =.02), nonmarriage (P ≤.0001), higher body mass index (P =.03), and prechemotherapy PRO measures such as fewer self-reported walking minutes/week (P ≤.001), history of smoking (P =.02) and alcohol use (P < .001), depression (P =.01), and lower emotional social support (P =.008). During chemotherapy, moderate, severe, or very severe symptoms were associated with greater vulnerability SVI Overall scores for hot flashes (P =.03), arthralgia (P =.02), myalgia (P =.02), peripheral neuropathy (P =.01), edema of limbs (P =.04), and nausea (P <.001).

CONCLUSIONS

SVI scores derived from addresses in the patient's EMR can be used to generate information that adds to the patient's social history in ways that are informative for anticipating and monitoring chemotherapy-related toxicities.

AI Survival Prediction Modeling: The Importance of Considering Treatments and Changes in Health Status over Time

BACKGROUND AND OBJECTIVES

Deep learning (DL)-based models for predicting the survival of patients with local stages of breast cancer only use time-fixed covariates, i.e., patient and cancer data at the time of diagnosis. These predictions are inherently error-prone because they do not consider time-varying events that occur after initial diagnosis. Our objective is to improve the predictive modeling of survival of patients with localized breast cancer to consider both time-fixed and time-varying events; thus, we take into account the progression of a patient's health status over time.

METHODS

We extended four DL-based predictive survival models (DeepSurv, DeepHit, Nnet-survival, and Cox-Time) that deal with right-censored time-to-event data to consider not only a patient's time-fixed covariates (patient and cancer data at diagnosis) but also a patient's time-varying covariates (e.g., treatments, comorbidities, progressive age, frailty index, adverse events from treatment). We utilized, as our study data, the SEER-Medicare linked dataset from 1991 to 2016 to study a population of women diagnosed with stage I-III breast cancer (BC) enrolled in Medicare at 65 years or older as qualified by age. We delineated time-fixed variables recorded at the time of diagnosis, including age, race, marital status, breast cancer stage, tumor grade, laterality, estrogen receptor (ER), progesterone receptor (PR), and human epidermal receptor 2 (HER2) status, and comorbidity index. We analyzed six distinct prognostic categories, cancer stages I-III BC, and each stage's ER/PR+ or ER/PR- status. At each visit, we delineated the time-varying covariates of administered treatments, induced adverse events, comorbidity index, and age. We predicted the survival of three hypothetical patients to demonstrate the model's utility.

MAIN OUTCOMES AND MEASURES

The primary outcomes of the modeling were the measures of the model's prediction error, as measured by the concordance index, the most commonly applied evaluation metric in survival analysis, and the integrated Brier score, a metric of the model's discrimination and calibration.

RESULTS

The proposed extended patients' covariates that include both time-fixed and time-varying covariates significantly improved the deep learning models' prediction error and the discrimination and calibration of a model's estimates. The prediction of the four DL models using time-fixed covariates in six different prognostic categories all resulted in approximately a 30% error in all six categories. When applying the proposed extension to include time-varying covariates, the accuracy of all four predictive models improved significantly, with the error decreasing to approximately 10%. The models' predictive accuracy was independent of the differing published survival predictions from time-fixed covariates in the six prognostic categories. We demonstrate the utility of the model in three hypothetical patients with unique patient, cancer, and treatment variables. The model predicted survival based on the patient's individual time-fixed and time-varying features, which varied considerably from Social Security age-based, and stage and race-based breast cancer survival predictions.

CONCLUSIONS

The predictive modeling of the survival of patients with early-stage breast cancer using DL models has a prediction error of around 30% when considering only time-fixed covariates at the time of diagnosis and decreases to values under 10% when time-varying covariates are added as input to the models, regardless of the prognostic category of the patient groups. These models can be used to predict individual patients' survival probabilities based on their unique repertoire of time-fixed and time-varying features. They will provide guidance for patients and their caregivers to assist in decision making.

The influence of non-cancer-related risk factors on the development of cancer-related lymphedema: a rapid review

Extensive research supports an evidence-base for cancer treatment-related risk factors, including extent of lymph node dissection and use of radiotherapy, as contributing to secondary lymphedema. Additionally, comorbidities, such as higher body mass index, and vascular-related conditions are identified to further augment risk. While social determinants of health (SDOH) and socioeconomic factors are widely regarded as influencing an individual's healthcare outcomes, including cancer risk and survival, these factors have not been explored as risk factors for developing secondary lymphedema. A rapid literature review explored the current evidence for SDOH as risk factors for lymphedema. Studies that were published over the last 10 years and that specifically analyzed social factors as variables associated with lymphedema were included. Studies that only characterized the social determinants of the study population were not included. Forty-nine studies were identified through a rapid literature review, and 13 studies that expressly analyzed social determinants as risk factors for secondary lymphedema were reviewed and extracted. All studies were conducted in patients with breast cancer-related lymphedema. Social risk factors included race, educational level, insurance type, and income level. These are consistent with the socioeconomic inequalities related to cancer survival. SDOH may influence the risk of developing cancer treatment-related health conditions like secondary lymphedema. Research trials studying cancer treatment-related conditions should collect consistent and robust data across social, behavioral, environmental, and economic domains and should analyze these variables to understand their contribution to study endpoints. Risk prediction modeling could be a future pathway to better incorporate social determinants, along with medical and co-morbidity data, to holistically understand lymphedema risk.

Dose delay, dose reduction, and early treatment discontinuation in Black and White women receiving chemotherapy for nonmetastatic breast cancer

BACKGROUND

To describe reasons for deviations from planned chemotherapy treatments in women with nonmetastatic breast cancer that contribute to less-than-planned receipt of chemotherapy.

METHODS

Electronic medical records for patients receiving chemotherapy were reviewed for adverse events and treatment modifications. Log-binomial regression models were used to estimate relative risks (RRs) with 95% CIs to examine associations between chemotherapy modifications, patient characteristics, and treatment modalities.

RESULTS

Delays in chemotherapy initiation (7%) were for surgical complications (58%), personal reasons (16%), and other (26%; port malfunction, infections, and obtaining extra imaging). Delays during chemotherapy (38%) were for infections (20%), neutropenia (13%), and personal reasons (13%). Dose reductions (38%) were for neuropathy (36%), unknown causes (9%), anemia (9%), and neutropenia (8%). Early treatment discontinuations (23%) were for neuropathy (29%). Patients receiving paclitaxel/nab-paclitaxel (RR 2.05; 95% CI, 1.47-2.87) and an anthracycline (RR 1.89; 95% CI, 1.39-2.57) reported more dose delays during chemotherapy. Black race (RR 1.46; 95% CI, 1.07-2.00), stage 3 (RR 1.79; 95% CI, 1.09-2.93), and paclitaxel/nab-paclitaxel receipt (RR 1.39; 95% CI, 1.02-1.90) increased the likelihood of dose reduction. Both Black race (RR 2.06; 95% CI, 1.35-3.15) and receipt of paclitaxel/nab-paclitaxel (RR 1.93; 95% CI, 1.19-3.13) increased the likelihood of early discontinuation. Patients receiving anthracyclines had higher rates of hospitalizations during chemotherapy (RR: 1.79; 95% CI, 1.11-2.89).

CONCLUSION

Toxicities are the most common reason for treatment modifications and need close monitoring in high-risk groups for timely intervention. Dose reductions and early treatment discontinuations occurred more for Black patients and need further study.

A retrospective cohort study describing chemotherapy-induced peripheral neuropathy in Non-Hodgkin lymphoma patients treated with EPOCH ± R: does HIV status matter?

The frontline immuno-chemotherapy regimen for HIV-associated non-Hodgkin Lymphoma is dose-adjusted EPOCH ± R (etoposide, prednisone, vincristine, cyclophosphamide, doxorubicin, and rituximab). Chemotherapy-induced peripheral neuropathy (CIPN), caused by vincristine, is a common adverse effect of EPOCH ± R, negatively impacting long-term patient outcomes. The primary objective of this study was to determine the incidence of CIPN, stratified by HIV status, in patients treated with EPOCH ± R. A retrospective cohort study at a tertiary referral comprehensive cancer center evaluated patients treated with EPOCH ± R from 2011 to 2018. The final sample included 27 patients with HIV compared to 279 without HIV (total n = 306). Overall, the incidence of CIPN was 29.4% (n = 90), including 5 with HIV (18.5%) and 85 without HIV (30.5%). Propensity scores were used to match patients by HIV status. Although no relationship was found between HIV status and neuropathy, CIPN affects too many undergoing treatments for lymphoma, supporting future investigations to minimize toxicities.

Identifying pre-habilitation targets for the mitigation of long-term side effects of chemotherapy in patients with early breast cancer

BACKGROUND

Pre-treatment characteristics of women with early breast cancer that are associated with persistent fatigue or suboptimal health-related quality of life (HRQOL) post-chemotherapy need to be identified as potential targets for pre-habilitation.

PATIENTS AND METHODS

Ancillary analysis of previously collected data from patients with newly diagnosed Stage I-III breast cancer scheduled to receive chemotherapy. The objective was to identify baseline (pre-chemotherapy) variables associated with meaningful deteriorations in fatigue and other measures of HRQOL from pre-treatment to 6 months after chemotherapy completion. Percentages are reported along with unadjusted and adjusted relative risks.

RESULTS

In a sample of 249 women post-chemotherapy, 32% reported worsening fatigue (FACIT-F), 35% worsening Physical Well-Being (PWB), 16% worsening Functional Well-Being (FWB), 8% worsening Emotional Well-Being (EWB), and 30% worsening Social Well-Being (SWB). In multivariable (MV) analysis, variables that were significant in univariate analysis - Black race, high BMI, and baseline poorer EWB - remained significant for worsening post-chemotherapy fatigue (FACIT-F). In MV analysis that included race, education, falls, and baseline EWB, Black race and a positive falls history remained significant for worsening PWB. In MV analysis inclusive of race, Short Physical Performance Battery (SPPB) and FWB, lower SPPB and FWB remained significant predictors of worsening FWB. In MV analysis that included baseline Mental Health Index-Anxiety, EWB and SWB, a higher SWB and lower EWB remained significant for worsening SWB.

CONCLUSION

Pre-chemotherapy characteristics in women with early-stage breast cancer that are associated with increased fatigue and reduced HRQOL post-treatment could be used to identify patients who may benefit from pre-habilitation interventions.

Temporal Association Rule Mining: Race-Based Patterns of Treatment-Adverse Events in Breast Cancer Patients Using SEER-Medicare Dataset

PURPOSE

Disparities in the screening, treatment, and survival of African American (AA) patients with breast cancer extend to adverse events experienced with systemic therapy. However, data are limited and difficult to obtain. We addressed this challenge by applying temporal association rule (TAR) mining using the SEER-Medicare dataset for differences in the association of specific adverse events (AEs) and treatments (TRs) for breast cancer between AA and White women. We considered two categories of cancer care providers and settings: practitioners providing care in the outpatient units of hospitals and institutions and private practitioners providing care in their offices.

PATIENTS AN METHODS

We considered women enrolled in the Medicare fee-for-service option at age 65 who qualified by age and not disability, who were diagnosed with breast cancer with attributed patient factors of age and race, marital status, comorbidities, prior malignancies, prior therapy, disease factors of stage, grade, and ER/PR and Her2 status and laterality. We included 141 HCPCS drug J codes for chemotherapy, biotherapy, and hormone therapy drugs, which we consolidated into 46 mechanistic categories and generated AE data. We consolidated AEs from ICD9 codes into 18 categories associated with breast cancer therapy. We applied TAR mining to determine associations between the 46 TR and 18 AE categories in the context of the patient categories outlined. We applied the spark.mllib implementation of the FPGrowth algorithm, a parallel version called PFP. We considered differences of at least one unit of lift as significant between groups. The model's results demonstrated a high overlap between the model's identified TR-AEs associated set and the actual set.

RESULTS

Our results demonstrate that specific TR/AE associations are highly dependent on race, stage, and venue of care administration.

CONCLUSIONS

Our data demonstrate the usefulness of this approach in identifying differences in the associations between TRs and AEs in different populations and serve as a reference for predicting the likelihood of AEs in different patient populations treated for breast cancer. Our novel approach using unsupervised learning enables the discovery of association rules while paying special attention to temporal information, resulting in greater predictive and descriptive power as a patient's health and life status change over time.

Association of self-directed walking with toxicity moderation during chemotherapy for the treatment of early breast cancer

BACKGROUND

In the field of exercise oncology, there is a need to quantify the potential benefits of moderate, self-directed physical activity during active treatment. In a pooled analysis of three identical single-arm intervention studies, we investigate the association of activity tracker steps with patient-reported toxicities during chemotherapy.

METHODS

Women with early breast cancer who were enrolled in the intervention studies reported their symptom severity every 2-3 weeks throughout chemotherapy, and daily steps were documented through a Fitbit activity tracker. Relative risks (RR) and 95% confidence intervals (CI) were calculated using Poisson regression models with robust variance. For outcomes significant in unadjusted models, adjusted RRs were calculated controlling for race, age, and education level. Tracker step cut point (high step, low step) was determined by the means. Cumulative incidence functions of moderate, severe, and very severe (MSVS) symptoms were estimated using the Kaplan-Meier method and compared using a Cox proportional hazard model.

RESULTS

In a sample of 283 women, mean age was 56 years and 76% were White. Mean tracker-documented steps/week were 29,625, with 55% walking below the mean (low step) and 45% above (high step). In multivariable analysis, high step patients had lower risk for fatigue [RR 0.83 (0.70, 0.99)] (p = 0.04), anxiety [RR 0.59 (0.42, 0.84)] (p = 0.003), nausea [RR 0.66 (0.46, 0.96)] (p = 0.03), depression [RR 0.59 (0.37, 0.03)] (p = 0.02), and ≥ 6 MSVS symptoms [RR 0.73 (0.54, 1.00)] (p = 0.05) and had 36% lower risk for dose reductions [RR 0.64 (95% CI 0.43, 0.97)] (p = 0.03).

CONCLUSION

Self-directed walking at a rate of at least 30,000 steps/week may moderate the severity of treatment side effects during chemotherapy for early breast cancer.

TRIAL NUMBERS

NCT02167932, NCT02328313, NCT03761706.

Racial Disparities in Breast Cancer Treatments and Adverse Events in the SEER-Medicare Data

Despite lower incidence rates, African American (AA) patients have shorter survival from breast cancer (BC) than white (W) patients. Multiple factors contribute to decreased survival, including screening disparities, later presentation, and access to care. Disparities in adverse events (AEs) may contribute to delayed or incomplete treatment, earlier recurrence, and shortened survival. Here, we analyzed the SEER-Medicare dataset, which captures claims from a variety of venues, in order to determine whether the cancer care venues affect treatment and associated adverse events. We investigated a study population whose claims are included in the Outpatient files, consisting of hospital and healthcare facility venues, and a study population from the National Claims History (NCH) files, consisting of claims from physicians, office practices, and other non-institutional providers. We demonstrated statistically and substantively significant venue-specific differences in treatment rates, drugs administered, and AEs from treatments between AA and W patients. We showed that AA patients in the NCH dataset received lower rates of treatment, but patients in the Outpatient dataset received higher rates of treatment than W patients. The rates of recorded AEs per treatment were higher in the NCH setting than in the Outpatient setting in all patients. AEs were consistently higher in AA patients than in W patients. AA patients had higher comorbidity indices and were younger than W patients, but these variables did not appear to play roles in the AE differences. The frequency of specific anticancer drugs administered in cancer- and venue-specific circumstances and their associated AEs varied between AA and W patients. The higher AE rates were due to slightly higher frequencies in the administration of drugs with higher associated AE rates in AA patients than in W patients. Our investigations demonstrate significant differences in treatment rates and associated AEs between AA and W patients with BC, depending on the venues of care, likely contributing to differences in outcomes.

An Insight into Citrus medica Linn.: A Systematic Review on Phytochemical Profile and Biological Activities

Plant species are a reservoir of natural compounds that can potentially be used to treat different diseases. Citrus medica Linn. belonging to the Rutaceae family, has been used for centuries in medicine for its antioxidant, anti-inflammatory, antimicrobial, antiviral, and antihyperglycemic properties. These activities are ascribable not only to the presence of health-promoting macronutrients and micronutrients, such as carbohydrates, minerals, amino acids, and vitamins, but also to specialized metabolites, such as flavonoids (apigenin, hesperetin, hesperidin, naringin, naringenin, rutin, quercetin, and diosmin), coumarins (citropten, scoparone, and bergapten), terpenes (limonene, γ-terpinene, limonin, and nomilin), and phenolic acids (p-coumaric acid, trans-ferulic acid, and chlorogenic acid). In recent years, particular attention has been focused on the antioxidant, anti-inflammatory, antimicrobial activity, antidiabetic, anticancer, and neuroprotective activity of C. medica. However, although many studies have reported this species' chemical and biological properties, the literature has never been analyzed via a systematic approach. For this reason, using PubMed and Scopus as databases, we performed a systematic review of C. medica's chemical composition and biological properties to inspire new research approaches and increase its curative application.

Body mass index and patient-reported function, quality of life and treatment toxicity in women receiving adjuvant chemotherapy for breast cancer

BACKGROUND

This study investigates whether high body mass index (BMI) in women diagnosed with early breast cancer (BC) is associated with patient-reported symptom severity during chemotherapy.

METHODS

Women with Stage I-III BC completed toxicity reports for 17 side effects throughout regularly scheduled chemotherapy infusions. Toxicity reports were compared in women with obesity (BMI >  = 30) versus no obesity (BMI < 30). Fisher's exact tests and 2-sample t-tests compared baseline patient characteristics. Risk ratios (RR) for women with obesity as compared to no obesity were estimated for individual symptoms that were patient-rated as moderate, severe or very severe (MSVS) severity, adjusting for marital status and race.

RESULTS

In a sample of 286 patients, Black women comprised 23% of the sample. The obesity rate was 76% among Black patients and 31% among White patients (p < .0001). Women with obesity rated an average of 6.9 side effects (standard deviation, SD 4.2) as MSVS vs 5.5 side effects (SD 3.7) among women with no obesity (p = .003). In adjusted analysis, women with obesity had significantly greater risk for MSVS fatigue (RR 1.18, 95% CI 1.01-1.36), dyspnea (RR 1.71, 95% CI 1.09-2.69), arthralgia (RR 1.47, 95% CI 1.10-1.97), peripheral neuropathy (RR 1.45, 95% CI 1.01-2.08), edema of limbs (RR 1.84, 95% CI 1.18-2.88), and abdominal pain (RR 1.75, 95% CI 1.07-2.87). There were no inter-group differences in BC stage or phenotype, chemotherapy treatment modifications, or hospitalizations.

CONCLUSIONS

Among women with early BC, patients with obesity reported higher chemotherapy toxicity as compared to patients without obesity; however, this did not result in differences in treatment completion.

Symptom burden, psychological distress, and symptom management status in hospitalized patients with advanced cancer: a multicenter study in China

BACKGROUND

The management of physical symptoms and psychological distress of cancer patients is an important component of cancer care. The purpose of this study was to evaluate the symptom burden, psychological distress, and management status of hospitalized patients with advanced cancer in China and explore the potential influencing factors of undertreatment and non-treatment of symptoms.

PATIENTS AND METHODS

A total of 2930 hospitalized patients with advanced cancer (top six types of cancer in China) were recruited from 10 centers all over China. Patient-reported MD Anderson Symptom Inventory, Hospital Anxiety and Depression Scale (HADS), and Patient Health Questionnaire-9 (PHQ-9) scales and symptom management-related information were collected and linked with the patient's clinical data. The proportion of patients reporting moderate-to-severe (MS) symptoms and whether they were currently well managed were examined. Multivariable logistic regression models were applied to explore the factors correlated to undertreatment and non-treatment of symptoms.

RESULTS

About 27% of patients reported over three MS symptoms, 16% reported over five, and 9% reported over seven. Regarding psychological distress, the prevalence of HADS-anxiety was 29% and that of PHQ-9 depression was 11%. Sixty-one percent of patients have at least one MS symptom without any treatment. Sex [odds ratio (OR) = 2.238, 95% confidence interval (95% CI) 1.502-3.336], Eastern Cooperative Oncology Group (ECOG; OR = 0.404, 95% CI 0.241-0.676), and whether currently undergoing anticancer treatment (OR = 0.667, 95% CI 0.503-0.886) are the main factors correlated with the undertreatment of symptoms. Age (OR = 1.972, 95% CI 1.263-3.336), sex (OR = 0.626, 95% CI 0.414-0.948), ECOG (OR = 0.266, 95% CI 0.175-0.403), whether currently undergoing anticancer treatment (OR = 0.356, 95% CI 0.249-0.509), and comorbidity (OR = 0.713, 95% CI 0.526-0.966) are the main factors correlated with the non-treatment of symptoms.

CONCLUSIONS

This study shows that hospitalized patients with advanced cancer had a variety of physical and psychological symptoms but lacked adequate management and suggests that a complete symptom screening and management system is needed to deal with this complex problem.

A Systematic Review of Nutritional Lab Correlates with Chemotherapy Induced Peripheral Neuropathy

Chemotherapy induced peripheral neuropathy (CIPN) is a dose-limiting side effect of chemotherapy for which no prevention or cure exists. Cancer and cancer treatments can adversely affect nutritional status. Nutrition may play a role in development of CIPN, yet the relationship between nutrition and CIPN is not well understood. Common laboratory values measuring various aspects of nutrition (hemoglobin/hematocrit, vitamin B12, calcium, and magnesium) may be associated with CIPN. The aim of this systematic review is to evaluate the empirical evidence surrounding the relationship between laboratory measures of nutrition and CIPN among persons with cancer who received neurotoxic chemotherapy drugs. We conducted an extensive review of the literature to identify articles that evaluated relationships between laboratory measures of nutrition and CIPN. A total of eleven articles satisfied the inclusion/exclusion criteria. Participants in the studies had breast or colorectal cancer, lymphoma or multiple myeloma and were receiving a variety of neurotoxic drugs. Hemoglobin/hematocrit, vitamin D, albumin, and magnesium were associated with CIPN. The quality of the studies ranges from fair to good. Evidence suggests that low levels of the above-mentioned tests could be associated with CIPN but additional research is needed.