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PURPOSE: Patients who are HIV-positive and have breast cancer have worse overall survival (OS) compared with patients who are HIV-negative. Pathologic complete response (pCR) and relative dose intensity (RDI) of chemotherapy are associated with survival. We assessed whether pCR and RDI rates were lower for patients who are HIV-positive and received neoadjuvant chemotherapy (NACT). METHODS: This was a prospective cohort analysis of patients initiating NACT in Botswana (February 2017 to September 2019). Primary outcomes were pCR and RDI; secondary outcomes were OS and toxicity. HIV status and zidovudine (ZDV) treatment were stratification factors. Multivariable analysis was used to control for confounding. RESULTS: In total, 26 of 110 enrolled individuals were HIV-positive. In univariable analysis, HIV-positive (odds ratio [OR] = 0.2; P = .048) and RDI < 0.85 (OR = 0.30; P = .025) were associated with pCR. In multivariable analysis, the magnitude of association decreased for HIV-positive (OR = 0.28; P = .11), but RDI < 0.85 remained independently associated with pCR (OR = 0.32; P = .035). Patients who are HIV-positive had significantly lower mean RDI, and those on ZDV had significantly lower RDI. Ninety-one (83%) were stage III with 2-year OS significantly worse for patients who are HIV-positive (58% v 74%). Hazard ratio for all-cause mortality was 2.68 (95% CI, 1.17 to 6.13; P = .028) in patients who are HIV-positive compared with patients who are HIV-negative. Toxicity rates were similar despite patients who are HIV-positive receiving significantly lower dose intensity chemotherapy. CONCLUSION: Patients who are HIV-positive and have breast cancer in Botswana have lower pCR rates and also receive lower dose intensity therapy, which may contribute to worse OS. Patients who are HIV-positive on ZDV-containing regimens received even lower dose intensity of NACT. Administering optimal dose intensity in patients who are HIV-positive remains a challenge, and targeted interventions that address modifiable risk factors are needed to improve therapy delivery and outcomes.

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PURPOSE: Multiple studies have demonstrated the negative impact of cancer care delays during the COVID-19 pandemic, and transmission mitigation techniques are imperative for continued cancer care delivery. We aimed to gauge the effectiveness of these measures at the University of Pennsylvania. METHODS: We conducted a longitudinal study of SARS-CoV-2 antibody seropositivity and seroconversion in patients presenting to infusion centers for cancer-directed therapy between May 21, 2020, and October 8, 2020. Participants completed questionnaires and had up to five serial blood collections. RESULTS: Of 124 enrolled patients, only two (1.6%) had detectable SARS-CoV-2 antibodies on initial blood draw, and no initially seronegative patients developed newly detectable antibodies on subsequent blood draw(s), corresponding to a seroconversion rate of 0% (95% CI, 0.0 TO 4.1%) over 14.8 person-years of follow up, with a median of 13 health care visits per patient. CONCLUSION: These results suggest that patients with cancer receiving in-person care at a facility with aggressive mitigation efforts have an extremely low likelihood of COVID-19 infection.

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PURPOSE: Despite evidence-based guidelines recommending early palliative care, it remains unclear how to identify and refer oncology patients, particularly in settings with constrained access to palliative care. We hypothesize that patient-reported outcome (PRO) data can be used to characterize patients with palliative care needs. To determine if PRO data can identify latent phenotypes that characterize indications for specialty palliative care referral. METHODS: We conducted a retrospective study of self-reported symptoms on the Edmonton Symptom Assessment System collected from solid tumor oncology patients (n = 745) referred to outpatient palliative care. Data were collected as part of routine clinical care from October 2012 to March 2018 at eight community and academic sites. We applied latent profile analysis to identify PRO phenotypes and examined the association of phenotypes with clinical and demographic characteristics using multinomial logistic regression. RESULTS: We identified four PRO phenotypes: (1) Low Symptoms (n = 295, 39.6%), (2) Moderate Pain/Fatigue + Mood (n = 180, 24.2%), (3) Moderate Pain/Fatigue + Appetite + Dyspnea (n = 201, 27.0%), and (4) High Symptoms (n = 69, 9.3%). In a secondary analysis of 421 patients, we found that two brief items assessing social and existential needs aligned with higher severity symptom and psychological distress phenotypes. CONCLUSION: Oncology patients referred to outpatient palliative care in a real-world setting can be differentiated into clinically meaningful phenotypes using brief, routinely collected PRO measures. Latent modeling provides a mechanism to use patient-reported data on a population level to identify distinct subgroups of patients with unmet palliative needs.

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PURPOSE: Women with breast cancer have a 4%-16% lifetime risk of a second primary cancer. Whether mutations in genes other than BRCA1/2 are enriched in patients with breast and another primary cancer over those with a single breast cancer (S-BC) is unknown. PATIENTS AND METHODS: We identified pathogenic germline mutations in 17 cancer susceptibility genes in patients with BRCA1/2-negative breast cancer in 2 different cohorts: cohort 1, high-risk breast cancer program (multiple primary breast cancer [MP-BC], n = 551; S-BC, n = 449) and cohort 2, familial breast cancer research study (MP-BC, n = 340; S-BC, n = 1,464). Mutation rates in these 2 cohorts were compared with a control data set (Exome Aggregation Consortium [ExAC]). RESULTS: Overall, pathogenic mutation rates for autosomal, dominantly inherited genes were higher in patients with MP-BC versus S-BC in both cohorts (8.5% v 4.9% [P = .02] and 7.1% v 4.2% [P = .03]). There were differences in individual gene mutation rates between cohorts. In both cohorts, younger age at first breast cancer was associated with higher mutation rates; the age of non-breast cancers was unrelated to mutation rate. TP53 and MSH6 mutations were significantly enriched in patients with MP-BC but not S-BC, whereas ATM and PALB2 mutations were significantly enriched in both groups compared with ExAC. CONCLUSION: Mutation rates are at least 7% in all patients with BRCA1/2 mutation-negative MP-BC, regardless of age at diagnosis of breast cancer, with mutation rates up to 25% in patients with a first breast cancer diagnosed at age < 30 years. Our results suggest that all patients with breast cancer with a second primary cancer, regardless of age of onset, should undergo multigene panel testing.

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PURPOSE: Essential cancer medicine stock outs are occurring at an increasing frequency worldwide and represent a potential barrier to delivery of standard therapy in patients with cancer in low- and middle-income countries. The objective of this study was to measure the impact of cancer medicine stock outs on delivery of optimal therapy in Botswana. METHODS: We conducted a retrospective analysis of patients with common solid tumor malignancies who received systemic cancer therapy in 2016 at Princess Marina Hospital, Gaborone, Botswana. Primary exposure was the duration of cancer medicine stock out during a treatment cycle interval, when the cancer therapy was intended to be administered. Mixed-effects univariable and multivariable logistic regression analyses were used to calculate the association of the primary exposure, with the primary outcome, suboptimal therapy delivery, defined as any dose reduction, dose delay, missed cycle, or switch in intended therapy. RESULTS: A total of 378 patients met diagnostic criteria and received systemic chemotherapy in 2016. Of these, 76% received standard regimens consisting of 1,452 cycle intervals and were included in this analysis. Paclitaxel stock out affected the highest proportion of patients. In multivariable mixed-effects logistic regression, each week of any medicine stock out (odds ratio, 1.9; 95% CI, 1.7 to 2.13; P < .001) was independently associated with an increased risk of a suboptimal therapy delivery event. CONCLUSION: Each week of cancer therapy stock out poses a substantial barrier to receipt of high-quality cancer therapy in low- and middle-income countries. A concerted effort between policymakers and cancer specialists is needed to design implementation strategies to build sustainable systems promoting a reliable supply of cancer medicines.

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Over the past few decades, comprehensive characterization of the cancer genome has elucidated pathways that drive cancer and mechanisms of resistance to therapy and provided important insights for development of new therapies. These advances have resulted in the development of prognostic and predictive tools for use in clinical settings, which can assist clinicians and patients in making informed decisions about the benefits of established therapies. In early-stage breast cancer, multiparameter genomic assays are now available for decision making about the duration of adjuvant endocrine therapy and the use of adjuvant chemotherapy. Similarly, in metastatic disease, there are multiple commercially available next-generation sequencing options for identifying genetic alterations in tumors that may be targeted with a drug. Although these tools hold great promise for providing precision medicine, it can be difficult for the treating physician to evaluate their clinical utility and appropriately select tools for individual clinical situations. This review summarizes the currently available genomic tools in breast cancer, the data underlying their clinical validity and utility, and how they can be used in conjunction with standard clinicopathologic data for making adjuvant and metastatic treatment decisions.

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BACKGROUND: Arthralgia is a common and debilitating side-effect experienced by breast cancer patients receiving aromatase inhibitors (AIs) and often results in premature drug discontinuation. METHODS: We conducted a randomised controlled trial of electro-acupuncture (EA) as compared to waitlist control (WLC) and sham acupuncture (SA) in postmenopausal women with breast cancer who self-reported arthralgia attributable to AIs. Acupuncturists performed 10 EA/SA treatments over 8 weeks using a manualised protocol with 2 Hz electro-stimulation delivered by a TENS unit. Acupuncturists administered SA using Streitberger (non-penetrating) needles at non-traditional acupuncture points without electro-stimulation. The primary end-point was pain severity by Brief Pain Inventory (BPI) between EA and WLC at Week 8; durability of response at Week 12 and comparison of EA to SA were secondary aims. FINDINGS: Of the 67 randomly assigned patients, mean reduction in pain severity was greater in the EA group than in the WLC group at Week 8 (-2.2 versus -0.2, p=0.0004) and at Week 12 (-2.4 versus -0.2, p<0.0001). Pain-related interference measured by BPI also improved in the EA group compared to the WLC group at both Week 8 (-2.0 versus 0.2, p=0.0006) and Week 12 (-2.1 versus -0.1, p=0.0034). SA produced a magnitude of change in pain severity and pain-related interference at Week 8 (-2.3, -1.5 respectively) and Week 12 (-1.7, -1.3 respectively) similar to that of EA. Participants in both EA and SA groups reported few minor adverse events. INTERPRETATIONS: Compared to usual care, EA produced clinically important and durable improvement in arthralgia related to AIs in breast cancer patients, and SA had a similar effect. Both EA and SA were safe.

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PURPOSE: To determine the incidence of dose-limiting (DL) chemotherapy-induced peripheral neuropathy (CIPN) events in clinical practice. PATIENTS AND METHODS: This retrospective cohort study included 488 women who received docetaxel or paclitaxel. The primary outcome was a DL event (dose delay, dose reduction, or treatment discontinuation) attributed to CIPN (DL CIPN). The paired t test was used to test the difference in received cumulative dose and planned cumulative dose by dose reduction and treatment discontinuation status. RESULTS: A total of 150 unique DL events occurred in 120 women (24.6%). More than one third (37.3%; n=56) of the events were attributed to CIPN. The 56 DL CIPN events occurred in 50 women (10.2%). DL CIPN incidence differed significantly by agent (docetaxel, 2.4%; n=five of 209; paclitaxel, 16.1%; n=45 of 279; P<.001). DL CIPN occurred in 24.5% and 14.4% of women who received paclitaxel 80 mg/m2 weekly for 12 cycles and 175 mg/m2 biweekly for four cycles, respectively (adjusted odds ratio, 2.11; 95% CI, 0.97 to 4.60; P=.06). The cumulative dose actually received was significantly lower than the planned cumulative dose among women who had a dose reduction or treatment termination attributed to CIPN (9.4% less; P<.001 and 28.4% less; P<.001, respectively). CONCLUSION: Oncologists limited the dosing of chemotherapy because of CIPN in a significant proportion of paclitaxel recipients, most frequently in those who received a weekly regimen. Patients who had their dose reduced or discontinued received significantly less cumulative chemotherapy than planned. The implications of these DL CIPN events on treatment outcomes must be investigated.

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Preoperative therapy allows for a higher rate of breast conserving surgery and has been shown equivalent to adjuvant therapy. Preoperative therapy provides an opportunity to obtain insights into breast cancer biology and to accelerate the evaluation of new therapies. Clinical trials have shown that women who achieve a pathologic complete response (pCR) have substantially improved outcomes compared with those who do not achieve a pCR. The U.S. Food and Drug Administration (FDA) meta-analysis demonstrated that the association of pCR and long-term outcomes is greater in women with aggressive breast cancer subtypes. In patients with HER2+ breast cancer, the addition of trastuzumab to chemotherapy in the neoadjuvant setting has doubled pCR and correlated with improved outcomes. Clinical trials will evaluate tailoring the use of radiation therapy in patients who have received neoadjuvant therapy. Trials have established neoadjuvant endocrine therapy as a valid treatment and research option for ER-rich breast cancer. The neoadjuvant setting allows for evaluation of endocrine therapies in combination with newer targeted therapies in the appropriate patient populations. The neoadjuvant setting provides opportunity to accelerate the evaluation of new agents, improve pCR rates, and identify predictive biomarkers for response. This setting provides the opportunity for screening new agents in combination with chemotherapy while obtaining serial biopsies to understand biology of response and resistance. Although current standard therapies provide substantial benefits for patients with a pCR, patients with residual disease are at substantial risk for disease recurrence. New agents are being evaluated in patients with high-risk residual disease following standard treatment regimens.

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