Use of comorbidity indices in patients with any cancer, breast cancer, and human epidermal growth factor receptor-2-positive breast cancer: A systematic review

Age and comorbidity in relation to treatment and survival outcomes in triple-negative breast cancer: A Swedish nationwide registry-based study

INTRODUCTION

Patients with cancer and comorbidities often experience a longer time-to-diagnosis and significantly worse clinical outcomes. Here, we evaluate the association between age, Charlson Comorbidity Index (CCI), treatment given, and patient survival, thereby identifying common non-breast cancer-related causes of death in patients with triple-negative breast cancer (TNBC).

MATERIALS AND METHODS

Population-based registry data were retrieved for patients diagnosed with primary invasive TNBC in Sweden between 2007 and 2021 (n = 7145). Multivariable Cox regression analyses were performed for disease-specific survival and overall survival was calculated using a landmark time set at six months post-diagnosis, the likely timeframe for treatment initiation. Multivariable logistic regression models were computed for age, comorbidity, and treatment. Weighted CCI (CCIw) was stratified into CCIw 0, CCIw 1-3, and CCIw 4-10.

RESULTS

Approximately 42 % of patients were ≥ 65 years of age and 30 % had comorbidities (27 % CCIw 1-3 and 3 % CCIw 4-10). Two or more comorbidities were common in patients ≥65 years. Patients in the CCIw 4-10 group were significantly older (72 years vs. 68 years for CCIw 1-3 vs. 58 years for CCIw 0) and had locoregional spread and larger tumors. Individuals with comorbidities were less likely to receive neoadjuvant chemotherapy, breast-conserving surgery, or postoperative treatment, and had a higher risk of death due to non-breast cancer-related causes. Patients ≥75 years had a higher risk of breast cancer-related death up to eight years after the landmark time and death from other causes thereafter. Furthermore, older (≥75 years) and patients with comorbidities had the lowest five-year survival probabilities. Other neoplasms (26 %; e.g., lung, pancreas, and ovarian cancer) and cardiovascular disease (24 %) were the leading causes of non-breast-cancer-related death, particularly in patients ≥50 years of age.

DISCUSSION

Patients with TNBC and comorbidities are less likely to receive specific treatment modalities and experience worse survival outcomes. Other malignant neoplasms are the leading cause of death for patients ≥50 years of age.

Impact of Race/Ethnicity on Clinical and Genomic Characteristics, Trial Participation, and Genotype-Matched Therapy among Patients with Metastatic Breast Cancer

PURPOSE

Race/ethnicity may affect outcomes in metastatic breast cancer (MBC) due to biological and social determinants. We evaluated the impact of race/ethnicity on clinical, socioeconomic, and genomic characteristics, clinical trial participation, and receipt of genotype-matched therapy among patients with MBC.

EXPERIMENTAL DESIGN

A retrospective study of patients with MBC who underwent cell-free DNA testing (cfDNA, Guardant360, 74 gene panel) between 11/2016 and 11/2020 was conducted. Receipt of genotype-matched therapy targeted at a cfDNA actionable mutation was determined. Pearson χ2 and Wilcoxon rank-sum tests were used to compare categorical and continuous variables between groups. Multivariable logistic regression was used to assess the association of race and receiving matched therapy.

RESULTS

A total of 425 patients with MBC and cfDNA results were identified (White: 369, Black: 27, Hispanic: 15, and Asian: 14). White patients traveled further for cancer care than other groups (P < 0.001). White patients had the highest rates of commercial insurance, Black patients had the highest rates of state-supported insurance, and Asian patients had the highest uninsured rates (P < 0.001). Clinical trial enrollment did not differ by race/ethnicity (P = 0.34). The proportion of patients with ≥1 actionable mutation in cfDNA did not vary by race/ethnicity (P = 0.18). The highest rates of matched therapy were observed in White patients (P < 0.001). After multivariable logistic regression adjusting for subtype, commercial versus other insurance, Charlson Comorbidity Index, and distance to center, White patients remained more likely to receive matched therapy (P = 0.024).

CONCLUSIONS

Racial/ethnic minority patients were less likely to receive matched therapy. Further research is needed to identify barriers to precision medicine.

Impact of major depressive disorder on breast cancer outcomes: a national retrospective cohort study

BACKGROUND

Establishing whether women with major depressive disorder who develop breast cancer have poor outcomes is key to optimizing care for this population. To this end, we examined associations between major depressive disorder and breast cancer recurrence and mortality.

METHODS

Using medical record data from the US Department of Veterans Affairs health-care system, we established a retrospective cohort of women with local or regional stage invasive breast cancer between 2010 and 2019 and followed them through 2022. We used a 2-year window to identify women diagnosed with major depressive disorder before breast cancer diagnosis. We used multivariable Cox-proportional hazards regression to estimate associations between major depressive disorder and breast cancer recurrence and mortality while accounting for competing risks and adjusting for sociodemographic, clinical, lifestyle, and tumor characteristics.

RESULTS

We identified 6051 women with breast cancer, of whom 1754 (29%) had major depressive disorder. The mean (SD) age at breast cancer diagnosis was 57 (11) years. In multivariable analyses, women with major depressive disorder had a 37% (hazard ratio = 1.37, 95% CI = 1.19 to 1.57) higher risk of recurrence and a 30% (hazard ratio = 1.30, 95% CI = 1.02 to 1.64) higher risk of breast cancer mortality. The association between major depressive disorder and recurrence was stronger among women with estrogen receptor-positive breast cancer. In secondary analyses, there were statistically significant interactions between major depressive disorder and multiple exposures with respect to recurrence, including current smoking, substance abuse, and nonreceipt of screening mammography.

CONCLUSIONS

Women with major depressive disorder had inferior breast cancer outcomes compared with women without a history of major depressive disorder. Research is needed to investigate underlying mechanisms linking depression to breast cancer progression and evaluate interventions to improve outcomes in this high-risk population.

Mortality risk stratification based on comorbidity status among cervical cancer patients in Lagos, Nigeria

BACKGROUND

Comorbidity amplifies mortality risk by approximately sixfold in cancer patients and affects about 26% of cervical cancer (CC) patients in Nigeria. However, its impact on CC outcomes has yet to be fully explored.

METHODS

We analysed data from the Lagos University Teaching Hospital and the NSIA-LUTH Cancer Center in Lagos, Nigeria, between January 2015 and December 2021. Based on the hypertension-augmented Charlson comorbidity index (hCCI), the hazard ratios (HRs) associated with CC mortality were estimated using Cox proportional hazards model.

RESULTS

Our results showed a mortality rate of 30.1/100 women-years with a mean age at death of 59.8 years. Women with hCCI 2-6 had a significant increase in mortality risk in unadjusted (HR 1.68 [95% confidence interval {CI} 1.10 to 2.57]) and age-adjusted models (adjusted HR 1.57 [95% CI 1.02 to 2.42]) compared with those with hCCI 0. When CC stage was considered, the mortality risk gradient by hCCI was pronounced for late-metastatic CC with hCCI 2-6 (HR 2.32 [95% CI 1.23 to 4.39], increasing to 4.15 (95% CI 1.69 to 10.18) in the adjusted model compared with hCCI 0.

CONCLUSIONS

Cervical cancer mortality risk increases with an increasing comorbidity score. Routine incorporation of comorbidity scoring in the clinical assessment of CC patients as well as the use of multidisciplinary cancer care teams may positively impact their clinical and psychosocial management.

Relationship between changes in nutritional status during treatment and overall survival of newly diagnosed nasopharyngeal carcinoma patients

PURPOSE

This study investigates the relationship between changes in nutritional status during treatment and overall survival in NPC patients.

METHOD

Using a prospective cohort design, the electronic health records of newly diagnosed NPC patients from a medical center in Taiwan (from January 1, 2018, to March 31, 2024) were analyzed. A total of 73 newly diagnosed NPC patients were tracked; nutritional indicators such as body mass index (BMI), prealbumin levels, and Patient-Generated Subjective Global Assessment (PG-SGA) scores were recorded at four time points: one week before treatment, the first week of treatment, and four and eight weeks after treatment began.

RESULTS

The study found that most patients experienced a decrease in BMI (B = -0.62, p < .001) and prealbumin levels (B = -0.79, p = .015) during treatment, although BMI remained in the overweight range and prealbumin stayed within normal levels. PG-SGA scores increased (B = 1.01, p < .001), indicating a shift from low to moderate nutritional risk. Univariate Cox regression analysis showed that the Charlson Comorbidity Index (HR = 1.86, 95% CI: 1.38-2.51), NPC stage (HR = 15.67, 95% CI: 2.07-118.61), treatment method (HR = 2.96, 95% CI: 1.45-6.04), prealbumin (HR = 2.95, 95% CI: 1.46-5.99), and PG-SGA score trajectories (HR = 2.85, 95% CI: 1.27-6.40) were associated with overall survival. However, multivariate analysis revealed that the survival of NPC patients was only associated with CCI and NPC stage.

CONCLUSIONS

The study underscores the importance of monitoring nutritional status changes during treatment, particularly prealbumin and PG-SGA trajectories.

Prognostic Factors Associated with Breast Cancer-Specific Survival from 1995 to 2022: A Systematic Review and Meta-Analysis of 1,386,663 Cases from 30 Countries

Breast cancer is the fifth-ranked cancer globally. Despite early diagnosis and advances in treatment, breast cancer mortality is increasing. This meta-analysis aims to examine all possible prognostic factors that improve/deteriorate breast cancer-specific survival. MEDLINE, PubMed, ScienceDirect, Ovid, and Google Scholar were systematically searched until September 16, 2023. The retrieved studies from 1995 to 2022 accumulated 1,386,663 cases from 30 countries. A total of 13 out of 22 prognostic factors were significantly associated with breast cancer-specific survival. A random-effects model provided a pooled estimate of the top five poorest prognostic factors, including Stage 4 (HR = 12.12; 95% CI: 5.70, 25.76), followed by Stage 3 (HR = 3.42, 95% CI: 2.51, 4.67), a comorbidity index ≥ 3 (HR = 3.29; 95% CI: 4.52, 7.35), the poor differentiation of cancer cell histology (HR = 2.43; 95% CI: 1.79, 3.30), and undifferentiated cancer cell histology (HR = 2.24; 95% CI: 1.66, 3.01). Other survival-reducing factors include positive nodes, age, race, HER2-receptor positivity, and overweight/obesity. The top five best prognostic factors include different types of mastectomies and breast-conserving therapies (HR = 0.56; 95% CI: 0.44, 0.70), medullary histology (HR = 0.62; 95% CI: 0.53, 0.72), higher education (HR = 0.72; 95% CI: 0.68, 0.77), and a positive estrogen receptor status (HR = 0.78; 95% CI: 0.65, 0.94). Heterogeneity was observed in most studies. Data from developing countries are still scarce.

Association between comorbidities and survival in patients with metastatic urothelial carcinoma treated with pembrolizumab

BACKGROUND

This study aims to investigate the relationship between comorbidities and survival in patients with mUC treated with pembrolizumab as a second-line treatment.

METHODS

From February 2018 to October 2021, we analyzed the data of 185 consecutive patients with metastatic UC who received pembrolizumab as second-line therapy at The Jikei University Hospital and five affiliated hospitals. We used the Charlson Comorbidity Index (CCI) to assess the comorbidities. The outcomes of interest were progression-free survival (PFS) and overall survival (OS). To compare the survival differences, inverse probability of treatment weighting (IPTW)-adjusted Kaplan-Meier curves and the IPTW-adjusted Cox regression hazards model were used.

RESULTS

After IPTW adjustment, patient characteristics were well-balanced between patients with high CCI and those with low CCI. The IPTW-adjusted Kaplan-Meier curves of PFS and OS based on CCI revealed that the patients with high CCI (2 or more) had a shorter PFS (median, 1.6 vs. 2.8 months) and a shorter OS (median, 12.4 vs. 18.8 months) (0-1). Similarly, in the IPTW-adjusted Cox regression hazards model, patients with high CCI had significantly shorter PFS [HR, 1.84 (95% CI 1.26-2.68; p = 0.002)] and OS [HR, 1.98 (95% CI 1.20-3.27; p = 0.008)] than those with lower CCI.

CONCLUSIONS

High CCI was associated with a higher risk of disease progression as well as overall mortality in mUC patients treated with second-line pembrolizumab.

Real-World Experience of Immune-Checkpoint Inhibitors in Older Patients with Advanced Cutaneous Squamous Cell Carcinoma

BACKGROUND

Older patients are often underrepresented in clinical trials owing to exclusionary comorbidities, which are more common with age. Chemotherapy is poorly tolerated in older comorbid advanced cutaneous squamous cell carcinoma (CSCC) patients; however, little is known on the efficacy and tolerability of immune-checkpoint inhibitors (ICIs) in this population. To our knowledge, this is the largest dedicated report on a cohort of older patients with advanced CSCC treated with immunotherapy to date.

OBJECTIVE

The aim was to report outcomes of ICI use in a real-world older cohort with advanced CSCC.

PATIENTS AND METHODS

A single-centre retrospective audit of all patients treated via an access scheme providing ICIs to patients with advanced CSCC was conducted. Participants were ≥ 70 years of age and had advanced CSCC not amenable to curative surgery or radiotherapy. Best overall response rate (ORR), 12-month overall survival (OS) and progression-free survival (PFS), and toxicity rates were assessed.

RESULTS

A total of 53 patients were analysed. The median age was 81.8 years (range 70.1-96.8); 81% were male; 34% were immunocompromised; and 34% had an Eastern Cooperative Oncology Group (ECOG) performance status score of ≥ 2. The ORR was 57%, and 12-month OS and PFS were 63% (95% confidence interval [CI] 44-78) and 41% (95% CI 25-57), respectively. Thirty-two per cent developed an immune-related adverse event (irAE), but only two patients experienced a grade 3 irAE, with no treatment-related deaths. Higher ECOG score was associated with worse OS and PFS. No significant association was identified for increasing age, sex, Charlson Comorbidity Index score, or immunocompromised status.

CONCLUSIONS

ICIs have demonstrated efficacy and have an acceptable safety profile among older patients with advanced CSCC, with comparable efficacy to what has been demonstrated in current clinical trials.

Prospective Study of Incidence and Impact of Comorbidities on Breast Cancer Survival from India

PURPOSE

To report comorbidity burden in newly-diagnosed treatment-naïve breast cancer patients and its effect on survival.

METHODS

Prospective observational study in which demographic, comorbidity and outcome data from a consecutive cohort of patients diagnosed and treated between September 2019 to September 2021 were collected. Charlson Comorbidity Index (CCI) score was calculated for all and proportion of each comorbidity was determined at diagnosis (baseline), at conclusion and six-months post-treatment. Univariate and multivariate analysis was done for impact of various demographic and disease-related factors on the incidence of comorbidities as well as on progression free survival (PFS) and overall survival (OS).

RESULTS

Out of five hundred patients who consented for the study, 416 patients completed planned treatment and only 206 patients had physical follow-up due to COVID-19 pandemic. Incidence of comorbidity at the three time-points was 24%, 32% and 26% respectively. The difference was significant compared to baseline at both the time-points (p<0.05). Hypertension and diabetes were the most common types (incidence 15%-21% and 12-18% respectively) of comorbidities. Advancing age, post-menopauusal status and not being married were significant factors for presence of comorbidities. Median follow-up was 27 months (95% CI 26.25-28.55 months). Presence of multiple comorbidities was a poor prognostic factor for both PFS (2-yr PFS 85% vs 77%) and OS (2-yr OS 89% vs 79%) (both p=0.04) but no such correlation for CCI score.

CONCLUSION

Breast cancer treatment impacted incidence of comorbidities. Presence of multiple comorbidities had an adverse impact on survival. Hence, further research on treatment optimization is required in patients with substantial comorbidities.

Breast Cancer After Reduction Mammoplasty: A Population-Based Analysis of Incidence, Treatment and Screening Patterns

Background

The risk of breast cancer may be decreased in women who undergo reduction mammoplasty. The purpose of this study was to describe the incidence and treatment of breast cancer after reduction mammoplasty and to better understand the use of breast cancer screening modalities in these patients.

Methods

This population-based retrospective analysis utilized the Discharge Abstract Database held by the Canadian Institute for Health Information and the National Ambulatory Care Reporting System to identify all women aged 20 years or older who underwent reduction mammoplasty in Alberta, Canada. The incidence and treatment of breast cancer were compared among patients who underwent reduction mammoplasty and age-sex-matched controls. Imaging utilization, including the use of mammography, ultrasound, and breast biopsy, was also compared.

Results

Between 2003 and 2007, 8021 patients over 20 years old underwent reduction mammoplasty in Alberta. Patients were followed for an average of 12.6 years. Eighty-nine (1.1%) patients who underwent reduction mammoplasty developed breast cancer after surgery, compared to 453 (1.9%) controls (P < 0.0001). Among patients diagnosed with breast cancer, there was no difference in patient and tumor characteristics. Women who underwent reduction mammoplasty were more likely to undergo mastectomy for cancer (41.6% vs 1.5%; P < 0.0001) and were more likely to undergo mammography (66.7% vs 58.7%; P < 0.0001), ultrasound (29.2% vs 26.2%; P < 0.0001) and biopsy for benign disease (7.2% vs 6%, P < 0.0001) compared to controls.

Conclusions

Despite an increased frequency of breast cancer screening, the incidence of breast cancer is lower after reduction mammoplasty compared with women who did not undergo breast reduction. After a diagnosis of breast cancer, surgical treatment patterns differ between groups, whereby mastectomy is more common after reduction mammoplasty.

Multi-morbidity and its association with common cancer diagnoses: a UK Biobank prospective study

BACKGROUND

Whilst multi-morbidity is known to be a concern in people with cancer, very little is known about the risk of cancer in multi-morbid patients. This study aims to investigate the risk of being diagnosed with lung, colorectal, breast and prostate cancer associated with multi-morbidity.

METHODS

We investigated the association between multi-morbidity and subsequent risk of cancer diagnosis in UK Biobank. Cox models were used to estimate the relative risks of each cancer of interest in multi-morbid participants, using the Cambridge Multimorbidity Score. The extent to which reverse causation, residual confounding and ascertainment bias may have impacted on the findings was robustly investigated.

RESULTS

Of the 436,990 participants included in the study who were cancer-free at baseline, 21.6% (99,965) were multi-morbid (≥ 2 diseases). Over a median follow-up time of 10.9 [IQR 10.0-11.7] years, 9,019 prostate, 7,994 breast, 5,241 colorectal, and 3,591 lung cancers were diagnosed. After exclusion of the first year of follow-up, there was no clear association between multi-morbidity and risk of colorectal, prostate or breast cancer diagnosis. Those with ≥ 4 diseases at recruitment had double the risk of a subsequent lung cancer diagnosis compared to those with no diseases (HR 2.00 [95% CI 1.70-2.35] p for trend < 0.001). These findings were robust to sensitivity analyses aimed at reducing the impact of reverse causation, residual confounding from known cancer risk factors and ascertainment bias.

CONCLUSIONS

Individuals with multi-morbidity are at an increased risk of lung cancer diagnosis. While this association did not appear to be due to common sources of bias in observational studies, further research is needed to understand what underlies this association.