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\"ORIGINAL ANTHOLOGY featuring rollicking, tongue-in-cheek tales of women warrior[s] fighting against the stodgy and in the name of freedom of expression, Chicks in Chainmail style! Continuing a great tradition, Chicks and Balances is not what you might think (or it is what you think, depending on which way your mind runs). What we have here is a bunch of perfectly healthy women who happen to be of the brass-bra-wearing and chain-link bikinis sort. Each is fighting in her own way for the freedom to express herself--often by thrusting sword through a censor's black heart! Be glad, the chicks in chainmail are back, and they will not be oppressed, repressed, or depressed! All new adventures of fearless women warriors by Eric Flint, creator of the Ring of Fire alternate history series; Nebula-winning author Harry Turtledove; Jody Lynn Nye, co-author of the national best seller The Ship Who Won; Campbell Award-winner Wen Spencer, and many more, including the inimitable Esther Friesner herself, as fantasy adventure takes a turn for the lighter side. Contributors: Esther Friesner Jody Lynn Nye Jim C. Hines Elizabeth A. Vaughan Harry Turtledove Kerrie L. Hughes Steven Harper Piziks Wen Spencer Julie S. Mandala Esther Friesner Jean Rabe Alex Shvartsman Sarah A. Hoyt Robin Wayne Bailey Laura Resnick Lee Martindale P.C. Hodgell Dean Wesley Smith Laura Frankos Louisa Swann Elizabeth Ann Scarborough Kristine Kathryn Rusch The Series: Chicks in Chainmail Turn the Other Chick The Chick's in the Mail Chicks 'n Chained Males Chicks Ahoy Did You Say Chicks?! Chicks and Balances\"-- Provided by publisher.

Background Associations between reproductive factors and risk of breast cancer differ by subtype defined by joint estrogen receptor (ER), progesterone receptor (PR), and HER2 expression status. Racial and ethnic differences in the incidence of breast cancer subtypes suggest etiologic heterogeneity, yet data are limited because most studies have included non-Hispanic White women only. Methods We analyzed harmonized data for 2,794 breast cancer cases and 4,579 controls, of whom 90% self-identified as African American, Asian American or Hispanic. Questionnaire data were pooled from three population-based studies conducted in California and data on tumor characteristics were obtained from the California Cancer Registry. The study sample included 1,530 luminal A (ER-positive and/or PR-positive, HER2-negative), 442 luminal B (ER-positive and/or PR-positive, HER2-positive), 578 triple-negative (TN; ER-negative, PR-negative, HER2-negative), and 244 HER2-enriched (ER-negative, PR-negative, HER2-positive) cases. We used multivariable unconditional logistic regression models to estimate subtype-specific ORs and 95% confidence intervals associated with parity, breast-feeding, and other reproductive characteristics by menopausal status and race and ethnicity. Results Subtype-specific associations with reproductive factors revealed some notable differences by menopausal status and race and ethnicity. Specifically, higher parity without breast-feeding was associated with higher risk of luminal A and TN subtypes among premenopausal African American women. In contrast, among Asian American and Hispanic women, regardless of menopausal status, higher parity with a breast-feeding history was associated with lower risk of luminal A subtype. Among premenopausal women only, luminal A subtype was associated with older age at first full-term pregnancy (FTP), longer interval between menarche and first FTP, and shorter interval since last FTP, with similar OR estimates across the three racial and ethnic groups. Conclusions Subtype-specific associations with reproductive factors overall and by menopausal status, and race and ethnicity, showed some differences, underscoring that understanding etiologic heterogeneity in racially and ethnically diverse study samples is essential. Breast-feeding is likely the only reproductive factor that is potentially modifiable. Targeted efforts to promote and facilitate breast-feeding could help mitigate the adverse effects of higher parity among premenopausal African American women.

Antimicrobial exposure during curative-intent treatment of triple-negative breast cancer (TNBC) may lead to gut microbiome dysbiosis, decreased circulating and tumor-infiltrating lymphocytes, and inferior outcomes. Here, we investigate the association of antimicrobial exposure and peripheral lymphocyte count during TNBC treatment with survival, using integrated electronic medical record and California Cancer Registry data in the Oncoshare database. Of 772 women with stage I-III TNBC treated with and without standard cytotoxic chemotherapy – prior to the immune checkpoint inhibitor era – most (654, 85%) used antimicrobials. Applying multivariate analyses, we show that each additional total or unique monthly antimicrobial prescription is associated with inferior overall and breast cancer-specific survival. This antimicrobial-mortality association is independent of changes in neutrophil count, is unrelated to disease severity, and is sustained through year three following diagnosis, suggesting antimicrobial exposure negatively impacts TNBC survival. These results may inform mechanistic studies and antimicrobial prescribing decisions in TNBC and other hormone receptor-independent cancers. Here, in a cohort of 772 women undergoing triple-negative breast cancer (TNBC) therapy, the authors show that antimicrobial prescription during TNBC treatment associates with inferior overall and breast cancer-specific survival, in turn related to peripheral lymphocyte count and gut microbiome dysbiosis.

Background The association between body mass index (BMI) and risk of breast cancer depends on time of life, but it is unknown whether this association depends on a woman’s familial risk. Methods We conducted a prospective study of a cohort enriched for familial risk consisting of 16,035 women from 6701 families in the Breast Cancer Family Registry and the Kathleen Cunningham Foundation Consortium for Research into Familial Breast Cancer followed for up to 20 years (mean 10.5 years). There were 896 incident breast cancers (mean age at diagnosis 55.7 years). We used Cox regression to model BMI risk associations as a function of menopausal status, age, and underlying familial risk based on pedigree data using the Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm (BOADICEA), all measured at baseline. Results The strength and direction of the BMI risk association depended on baseline menopausal status ( P  < 0.001); after adjusting for menopausal status, the association did not depend on age at baseline ( P  = 0.6). In terms of absolute risk, the negative association with BMI for premenopausal women has a much smaller influence than the positive association with BMI for postmenopausal women. Women at higher familial risk have a much larger difference in absolute risk depending on their BMI than women at lower familial risk. Conclusions The greater a woman’s familial risk, the greater the influence of BMI on her absolute postmenopausal breast cancer risk. Given that age-adjusted BMI is correlated across adulthood, maintaining a healthy weight throughout adult life is particularly important for women with a family history of breast cancer.

Survivors of breast cancer face a substantially increased risk of developing contralateral breast cancer (CBC). We assessed whether risk prediction models for CBC are improved by integrating mammographic density (MD) and polygenic risk scores (PRS). We analyzed data from 399 European-ancestry breast cancer survivors in the WECARE Study, an international, population-based case-control study. Cases were women who developed CBC, and controls were women with unilateral breast cancer (UBC). All participants had genome-wide genotyping and MD measurements at three intensity levels (Cumulus, Altocumulus, and Cirrocumulus) using the CUMULUS software. A weighted PRS was constructed comprised of 64 previously identified genome-wide significant single nucleotide polymorphisms (SNPs) associated with MD (PRS _MD ). Linear and logistic regression models were used to assess the associations between PRS _MD , MD measurements, and CBC risk, adjusting for potential confounders. PRS _MD was significantly associated with Cumulus and Altocumulus densities, but not Cirrocumulus. In multivariable-adjusted predictive models, the inclusion of PRS _MD improved adjusted R-squared values for Cumulus (from 20.6% to 22.8%) and Altocumulus (22.7% to 24.7%). However, for Cirrocumulus the PRS _MD was not a significant predictor of CBC risk, with an effect estimate of 0.27 (95% CI: -0.9,1.4; P  = 0.69). PRS _MD was not independently associated with CBC risk and adding it to MD models resulted in only small, non‑significant gains in AUC. Exploratory interaction analyses did not indicate that PRS _MD modified the association between MD and CBC risk. MD remains a robust independent predictor of CBC risk. Although PRS _MD captures inherited predisposition to MD, the current PRS explains only a small fraction of MD variance and does not enhance CBC risk prediction beyond measured MD. Further research is needed to elucidate the genetic underpinnings of MD and their relevance to CBC susceptibility.

Background The non-breast non-ovarian cancers associated with BRCA1 and BRCA2 pathogenic variants (PVs) are controversial. We aimed to examine this using a prospective cohort design. Methods This study included 1260 BRCA1 and 1058 BRCA2 PV carriers (91% were females) from two consortia: the Breast Cancer Family Registry (BCFR) and the Kathleen Cuningham Foundation Consortium for Research into Familial Breast Cancer Follow-Up Study (kConFab-FUS). The carriers were free of cancer other than breast or ovarian cancer at baseline and had a median baseline age of 45.5 years. For 16 types of non-breast, non-ovarian cancers, standardized incidence ratios (SIRs) relative to population incidence, the probabilities of relative risk effect size > 2 (i.e., moderate risk) and cumulative risks to age 80 years were estimated. Results During a median follow-up time of 11.4 years, 161 non-breast, non-ovarian cancers were observed. For BRCA1 PV carriers, little evidence of increased risk was observed. The prostate, pancreatic, and all non-pancreatic cancer SIRs were 1.7 (95% CI 0.7–4.2), 1.1 (95% CI 0.3–4.6) and 0.85 (95% CI 0.68–1.06), respectively; the probabilities of relative risk > 2 were 0 and 67% for prostate and pancreatic cancers, respectively. For BRCA2 PV carriers, increased risks of pancreatic (SIR = 6.6, 95% CI 3.8–11.6), prostate (SIR = 3.6, 95% CI 1.9–6.8) and stomach (SIR = 3.1, 95% CI 1.01–9.8) cancer were observed, with a cumulative risk to age 80 years of 8.3, 82.0, and 1.6%, respectively. For all the other non-breast, non-ovarian cancers combined, the SIR was 0.85 (95% CI 0.66–1.10). Conclusions Apart from pancreatic, prostate, and possibly stomach cancers for BRCA2 PV carriers, and possibly pancreatic cancer for BRCA1 PV carriers, there is no evidence that BRCA1 and BRCA2 PV carriers have substantially increased risks of other non-breast, non-ovarian cancers. Our prospective risk estimates are informative for cancer risk assessment for people with BRCA1 and BRCA2 PVs.

Background Alcohol consumption and cigarette smoking are associated with an increased risk of breast cancer (BC), but it is unclear whether these associations vary by a woman’s familial BC risk. Methods Using the Prospective Family Study Cohort, we evaluated associations between alcohol consumption, cigarette smoking, and BC risk. We used multivariable Cox proportional hazard models to estimate hazard ratios (HR) and 95% confidence intervals (CI). We examined whether associations were modified by familial risk profile (FRP), defined as the 1-year incidence of BC predicted by Breast Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm (BOADICEA), a pedigree-based algorithm. Results We observed 1009 incident BC cases in 17,435 women during a median follow-up of 10.4 years. We found no overall association of smoking or alcohol consumption with BC risk (current smokers compared with never smokers HR 1.02, 95% CI 0.85–1.23; consuming ≥ 7 drinks/week compared with non-regular drinkers HR 1.10, 95% CI 0.92–1.32), but we did observe differences in associations based on FRP and by estrogen receptor (ER) status. Women with lower FRP had an increased risk of ER-positive BC associated with consuming ≥ 7 drinks/week (compared to non-regular drinkers), whereas there was no association for women with higher FRP. For example, women at the 10th percentile of FRP (5-year BOADICEA = 0.15%) had an estimated HR of 1.46 (95% CI 1.07–1.99), whereas there was no association for women at the 90th percentile (5-year BOADICEA = 4.2%) (HR 1.07, 95% CI 0.80–1.44). While the associations with smoking were not modified by FRP, we observed a positive multiplicative interaction by FRP ( p interaction  = 0.01) for smoking status in women who also consumed alcohol, but not in women who were non-regular drinkers. Conclusions Moderate alcohol intake was associated with increased BC risk, particularly for women with ER-positive BC, but only for those at lower predicted familial BC risk (5-year BOADICEA < 1.25). For women with a high FRP (5-year BOADICEA ≥ 6.5%) who also consumed alcohol, being a current smoker was associated with increased BC risk.

Breast cancer (BC) is one of the most common cancers globally. Genetic testing facilitates screening and informs targeted risk-reduction and treatments. However, genes included in testing panels are from European-ancestry studies. We conducted a pooled case-control analysis in self-identified Hispanic/Latina women (4178 cases and 4344 controls), using whole exome sequencing and a targeted panel. We tested the association of loss of function (LoF) variants with overall, estrogen receptor (ER)-positive, and ER-negative BC risk. Using logistic regression, we found a strong association of LoF variants in FANCM with ER-negative BC ( p  = 4.1 × 10 − 7 ), odds ratio [confidence interval]: 6.7 [2.9–15.6]). Among known susceptibility genes, BRCA1 , BRCA2 , and PALB2 strongly associated with BC. FANCM was previously proposed as a possible susceptibility gene for ER-negative BC, but is not routinely tested clinically. Our results demonstrate that FANCM should be added to BC gene panels. The genetic susceptibility to breast cancer remains understudied in non-European populations. Here, the authors analyse pathogenic variants associated with breast cancer susceptibility in Hispanic/Latina women using genomics, and find that loss of function variants in FANCM are strongly associated with ER-negative breast cancer risk.

Background The use of aspirin and other non-steroidal anti-inflammatory drugs (NSAIDs) has been associated with reduced breast cancer risk, but it is not known if this association extends to women at familial or genetic risk. We examined the association between regular NSAID use and breast cancer risk using a large cohort of women selected for breast cancer family history, including 1054 BRCA1 or BRCA2 mutation carriers. Methods We analyzed a prospective cohort ( N  = 5606) and a larger combined, retrospective and prospective, cohort ( N  = 8233) of women who were aged 18 to 79 years, enrolled before June 30, 2011, with follow-up questionnaire data on medication history. The prospective cohort was further restricted to women without breast cancer when medication history was asked by questionnaire. Women were recruited from seven study centers in the United States, Canada, and Australia. Associations were estimated using multivariable Cox proportional hazards regression models adjusted for demographics, lifestyle factors, family history, and other medication use. Women were classified as regular or non-regular users of aspirin, COX-2 inhibitors, ibuprofen and other NSAIDs, and acetaminophen (control) based on self-report at follow-up of ever using the medication for at least twice a week for ≥1 month prior to breast cancer diagnosis. The main outcome was incident invasive breast cancer, based on self- or relative-report (81% confirmed pathologically). Results From fully adjusted analyses, regular aspirin use was associated with a 39% and 37% reduced risk of breast cancer in the prospective (HR = 0.61; 95% CI = 0.33–1.14) and combined cohorts (HR = 0.63; 95% CI = 0.57–0.71), respectively. Regular use of COX-2 inhibitors was associated with a 61% and 71% reduced risk of breast cancer (prospective HR = 0.39; 95% CI = 0.15–0.97; combined HR = 0.29; 95% CI = 0.23–0.38). Other NSAIDs and acetaminophen were not associated with breast cancer risk in either cohort. Associations were not modified by familial risk, and consistent patterns were found by BRCA1 and BRCA2 carrier status, estrogen receptor status, and attained age. Conclusion Regular use of aspirin and COX-2 inhibitors might reduce breast cancer risk for women at familial or genetic risk.

The U.S. has experienced an unprecedented number of orders to shelter in place throughout the ongoing COVID-19 pandemic. We aimed to ascertain whether social distancing; difficulty with daily activities; and levels of concern regarding COVID-19 changed after the March 16, 2020 announcement of the nation's first shelter-in-place orders (SIPO) among individuals living in the seven affected counties in the San Francisco Bay Area. We conducted an online, cross-sectional social media survey from March 14 -April 1, 2020. We measured changes in social distancing behavior; experienced difficulties with daily activities (i.e., access to healthcare, childcare, obtaining essential food and medications); and level of concern regarding COVID-19 after the March 16 shelter-in-place announcement in the San Francisco Bay Area versus elsewhere in the U.S. In this non-representative sample, the percentage of respondents social distancing all of the time increased following the shelter-in-place announcement in the Bay Area (9.2%, 95% CI: 6.6, 11.9) and elsewhere in the U.S. (3.4%, 95% CI: 2.0, 5.0). Respondents also reported increased difficulty obtaining hand sanitizer, medications, and in particular respondents reported increased difficulty obtaining food in the Bay Area (13.3%, 95% CI: 10.4, 16.3) and elsewhere (8.2%, 95% CI: 6.6, 9.7). We found limited evidence that level of concern regarding the COVID-19 crisis changed following the announcement. This study characterizes early changes in attitudes, behaviors, and difficulties. As states and localities implement, rollback, and reinstate shelter-in-place orders, ongoing efforts to more fully examine the social, economic, and health impacts of COVID-19, especially among vulnerable populations, are urgently needed.