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Female SV40 C3(1) T-antigen (C3(1)/TAg) transgenic mice develop mammary tumors that are molecularly similar to human basal-like breast cancers with 100% incidence at 16 weeks of age. To determine the requirement for growth hormone (GH) signaling in these tumors, genetic crosses were used to create cohorts of female mice that were homozygous for a floxed growth hormone receptor (Ghr) gene and carried one copy each of the Rosa-Cre-ERT2 transgene and the C3(1)/TAg transgene (Ghr flox/flox; Rosa-Cre-ERT2; C3(1)/TAg+/0 mice). When the largest mammary tumor reached 200 mm3, mice were treated with tamoxifen to delete Ghr or with vehicle as a control. An additional group of Ghr flox/flox; C3(1)/TAg+/0 mice were also treated with tamoxifen when the largest mammary tumor reached 200 mm3 as a control for the effects of tamoxifen. After 3 weeks, tumors in mice in which Ghr was deleted began to shrink while vehicle and tamoxifen treatment control mouse tumors continued to grow. Pathological analysis of tumors revealed similar growth patterns and varying levels of necrosis throughout all groups. A decrease in cancer cell proliferation in Ghr-/- tumors relative to controls was observed as measured by Ki67 immunohistochemistry labeling index. These data suggest that even established C3(1)/TAg mammary tumors are dependent on the GH/IGF-1 axis. [ABSTRACT FROM AUTHOR]

Unpacking paclitaxel response: Paclitaxel is a common treatment for many cancers, although not all patients benefit from the treatment and the mechanism by which it works is unclear. Here, Scribano et al. studied patients with breast cancer undergoing paclitaxel treatment as part of a clinical trial to elucidate the drug's mechanism of action, demonstrating that paclitaxel treatment increased cell division with chromosome missegregation to induce cytotoxicity. They also found that increased chromosomal instability in tumor cells before treatment was predictive of response to taxane therapy. Although the findings require further validation, this increased chromosomal instability may serve as a predictive biomarker for paclitaxel response in patients with breast cancer. Paclitaxel (Taxol) is a cornerstone of cancer treatment. However, its mechanism of cytotoxicity is incompletely understood and not all patients benefit from treatment. We show that patients with breast cancer did not accumulate sufficient intratumoral paclitaxel to induce mitotic arrest in tumor cells. Instead, clinically relevant concentrations induced multipolar mitotic spindle formation. However, the extent of early multipolarity did not predict patient response. Whereas multipolar divisions frequently led to cell death, multipolar spindles focused into bipolar spindles before division at variable frequency, and maintaining multipolarity throughout mitosis was critical to induce the high rates of chromosomal instability necessary for paclitaxel to elicit cell death. Increasing multipolar divisions in paclitaxel resulted in improved cytotoxicity. Conversely, decreasing paclitaxel-induced multipolar divisions reduced paclitaxel efficacy. Moreover, we found that preexisting chromosomal instability sensitized breast cancer cells to paclitaxel. Both genetic and pharmacological methods of inducing chromosomal instability were sufficient to increase paclitaxel efficacy. In patients, the amount of pretreatment chromosomal instability directly correlated with taxane response in metastatic breast cancer such that patients with a higher rate of preexisting chromosomal instability showed improved response to taxanes. Together, these results support the use of baseline rates of chromosomal instability as a predictive biomarker for paclitaxel response. Furthermore, they suggest that agents that increase chromosomal instability or maintain multipolar spindles throughout mitosis will improve the clinical utility of paclitaxel. [ABSTRACT FROM AUTHOR]

New tools are needed to match cancer patients with effective treatments. Patient-derived organoids offer a high-throughput platform to personalize treatments and discover novel therapies. Currently, methods to evaluate drug response in organoids are limited because they overlook cellular heterogeneity. In this study, non-invasive optical metabolic imaging (OMI) of cellular heterogeneity was characterized in breast cancer (BC) and pancreatic cancer (PC) patient-derived organoids. Baseline heterogeneity was analyzed for each patient, demonstrating that single-cell techniques, such as OMI, are required to capture the complete picture of heterogeneity present in a sample. Treatment-induced changes in heterogeneity were also analyzed, further demonstrating that these measurements greatly complement current techniques that only gauge average cellular response. Finally, OMI of cellular heterogeneity in organoids was evaluated as a predictor of clinical treatment response for the first time. Organoids were treated with the same drugs as the patient's prescribed regimen, and OMI measurements of heterogeneity were compared to patient outcome. OMI distinguished subpopulations of cells with divergent and dynamic responses to treatment in living organoids without the use of labels or dyes. OMI of organoids agreed with long-term therapeutic response in patients. With these capabilities, OMI could serve as a sensitive high-throughput tool to identify optimal therapies for individual patients, and to develop new effective therapies that address cellular heterogeneity in cancer. [ABSTRACT FROM AUTHOR]

• When used in combination, SOX10 and GATA3 detect nearly all mammary carcinomas. • Though regarded as a marker of triple negative breast cancer, SOX10 is also frequently expressed when ER expression is low. • SOX10 co-expression may be useful for cases with weak GATA3 expression in establishing a breast primary. The complementary coverage of different subsets of breast cancer by GATA3 and SOX10 makes their use in combination appealing for routine clinical use, but study of these markers has been largely limited to cases with high or absent ER expression. Here we report SOX10 and GATA3 immunostaining in parallel using a tissue microarray containing 246 invasive breast carcinoma cases with a range of ER expression. GATA3 and SOX10 were positive in 93 % (229/246) and 15 % (38/246) of cases overall and in 63 % (24/38) and 74 % (28/38) of triple negative breast carcinomas (TNBC), respectively; SOX10 was positive in 15 of the 17 cases that lacked GATA3 expression (88 %). SOX10 was also positive in 3 % (6/196) of ER + cases, including 50 % of cases with low ER (3/6), 20 % with intermediate ER (3/15), and 0 % with high ER (n = 175), so that ER-low cases more strongly resembled TNBC than those with high ER expression. GATA3 expression was lower in cases that co-expressed SOX10 in comparison to those that were positive for GATA3 alone. Less than 1 % (2/246) of cases were negative for both GATA3 and SOX10. Therefore, SOX10 is a useful adjunct to GATA3 in the detection of TNBC and cases with low ER expression and/or reduced GATA3 intensity relative to that typical of breast cancers with higher ER expression. Moreover, given such high sensitivity, metastatic tumors lacking either GATA3 or SOX10 are unlikely to be of breast origin. Additional study is necessary to determine the extent to which SOX10 may also improve specificity and to characterize its biologic significance in breast cancers with low ER expression. [ABSTRACT FROM AUTHOR]