Associations between quantitative measures of mammographic density and terminal ductal lobular unit involution in Chinese breast cancer patients.

BACKGROUND: Higher mammographic density (MD), a radiological measure of the proportion of fibroglandular tissue in the breast, and lower terminal duct lobular unit (TDLU) involution, a histological measure of the amount of epithelial tissue in the breast, are independent breast cancer risk factors. Previous studies among predominantly white women have associated reduced TDLU involution with higher MD. METHODS: In this cohort of 611 invasive breast cancer patients (ages 23-91 years [58.4% ≥ 50 years]) from China, where breast cancer incidence rates are lower and the prevalence of dense breasts is higher compared with Western countries, we examined the associations between TDLU involution assessed in tumor-adjacent normal breast tissue and quantitative MD assessed in the contralateral breast obtained from the VolparaDensity software. Associations were estimated using generalized linear models with MD measures as the outcome variables (log-transformed), TDLU measures as explanatory variables (categorized into quartiles or tertiles), and adjusted for age, body mass index, parity, age at menarche and breast cancer subtype. RESULTS: We found that, among all women, percent dense volume (PDV) was positively associated with TDLU count (highest tertile vs. zero: Expbeta = 1.28, 95% confidence interval [CI] 1.08-1.51, ptrend = < .0001), TDLU span (highest vs. lowest tertile: Expbeta = 1.23, 95% CI 1.11-1.37, ptrend = < .0001) and acini count/TDLU (highest vs. lowest tertile: Expbeta = 1.22, 95% CI 1.09-1.37, ptrend = 0.0005), while non-dense volume (NDV) was inversely associated with these measures. Similar trend was observed for absolute dense volume (ADV) after the adjustment of total breast volume, although the associations for ADV were in general weaker than those for PDV. The MD-TDLU associations were generally more pronounced among breast cancer patients ≥ 50 years and those with luminal A tumors compared with patients < 50 years and with luminal B tumors. CONCLUSIONS: Our findings based on quantitative MD and TDLU involution measures among Chinese breast cancer patients are largely consistent with those reported in Western populations and may provide additional insights into the complexity of the relationship, which varies by age, and possibly breast cancer subtype.

Reproductive risk factors for breast cancer and association with novel breast density measurements among Hispanic, Black, and White women.

PURPOSE: There are differences in the distributions of breast cancer incidence and risk factors by race and ethnicity. Given the strong association between breast density and breast cancer, it is of interest describe racial and ethnic variation in the determinants of breast density. METHODS: We characterized racial and ethnic variation in reproductive history and several measures of breast density for Hispanic (n = 286), non-Hispanic Black (n = 255), and non-Hispanic White (n = 1694) women imaged at a single hospital. We quantified associations between reproductive factors and percent volumetric density (PVD), dense volume (DV), non-dense volume (NDV), and a novel measure of pixel intensity variation (V) using multivariable-adjusted linear regression, and tested for statistical heterogeneity by race and ethnicity. RESULTS: Reproductive factors most strongly associated with breast density were age at menarche, parity, and oral contraceptive use. Variation by race and ethnicity was most evident for the associations between reproductive factors and NDV (minimum p-heterogeneity:0.008) and V (minimum p-heterogeneity:0.004) and least evident for PVD (minimum p-heterogeneity:0.042) and DV (minimum p-heterogeneity:0.041). CONCLUSION: Reproductive choices, particularly those related to childbearing and oral contraceptive use, may contribute to racial and ethnic variation in breast density.

Impact of Artificial Intelligence-driven Quality Improvement Software on Mammography Technical Repeat and Recall Rates.

Poor positioning decreases mammography sensitivity and is arguably the single most important contributor to image quality (IQ). Inadequate IQ may subject patients to technical repeat views during the examination or return for technical recalls. Artificial intelligence (AI) software can objectively evaluate breast positioning and compression metrics for all images and technologists. This study assessed whether implementation of AI software across the authors' institution improved IQ and reduced rates of technical repeats and recalls (TR). From April 2019 to March 2022, TR was retrospectively evaluated for 40 technologists (198 054 images; Centricity electronic medical record system, GE HealthCare), and AI IQ metrics were available for 42 technologists (211 821 images; Analytics, Volpara Health Technologies). Diagnostic and digital breast tomosynthesis images and implant cases were excluded. Kolmogorov-Smirnov, χ2, and paired t tests were used to evaluate whether AI IQ metrics and TR rates improved between the initial and most recent 12-month periods following AI software implementation (ie, baseline [April 2019 to March 2020] vs current [April 2021 to March 2022]). Comparing baseline with current periods, TR significantly reduced from 0.77% (788 of 102 953 images) to 0.17% (160 of 95 101 images), respectively (P < .001), and overall mean quality score improved by 6% ([2.42 - 2.28]/2.28; P = .001), demonstrating the potential of AI software to improve IQ and reduce patient TR. Keywords: Mammography, Breast, Oncology, QA/QC, Screening, Technology Assessment © RSNA, 2023.

Quantitative Mammographic Density Measurements and Molecular Subtypes in Chinese Women With Breast Cancer.

Background: Studies investigating associations between mammographic density (MD) and breast cancer subtypes have generated mixed results. We previously showed that having extremely dense breasts was associated with the human epidermal growth factor receptor-2 (HER2)-enriched subtype in Chinese breast cancer patients. Methods: In this study, we reevaluated the MD-subtype association in 1549 Chinese breast cancer patients, using VolparaDensity software to obtain quantitative MD measures. All statistical tests were 2-sided. Results: Compared with women with luminal A tumors, women with luminal B/HER2- (odds ratio [OR] = 1.20, 95% confidence interval [CI] = 1.04 to 1.38; P = .01), luminal B/HER2+ (OR = 1.22, 95% CI = 1.03 to 1.46; P = .03), and HER2-enriched tumors (OR = 1.30, 95% CI = 1.06 to 1.59; P = .01) had higher fibroglandular dense volume. These associations were stronger in patients with smaller tumors (<2 cm). In contrast, the triple-negative subtype was associated with lower nondense volume (OR = 0.82, 95% CI = 0.68 to 0.99; P = .04), and the association was only seen among older women (age 50 years or older). Conclusion: Although biological mechanisms remain to be investigated, the associations for the HER2-enriched and luminal B subtypes with increasing MD may partially explain the higher prevalence of luminal B and HER2+ breast cancers previously reported in Asian women.

Associations between mammographic density and tumor characteristics in Chinese women with breast cancer.

PURPOSE: Mammographic density (MD) is a strong risk factor for breast cancer, yet its relationship with tumor characteristics is not well established, particularly in Asian populations. METHODS: MD was assessed from a total of 2001 Chinese breast cancer patients using Breast Imaging Reporting and Data System (BI-RADS) categories. Molecular subtypes were defined using immunohistochemical status on ER, PR, HER2, and Ki-67, as well as tumor grade. Multinomial logistic regression was used to test associations between MD and molecular subtype (luminal A = reference) adjusting for age, body mass index (BMI), menopausal status, parity, and nodal status. RESULTS: The mean age at diagnosis was 51.7 years (SD = 10.7) and the average BMI was 24.7 kg/m2 (SD = 3.8). The distribution of BI-RADS categories was 7.4% A = almost entirely fat, 24.2% B = scattered fibroglandular dense, 49.4% C = heterogeneously dense, and 19.0% D = extremely dense. Compared to women with BI-RADS = A/B, women with BI-RADS = D were more likely to have HER2-enriched tumors (OR = 1.81, 95% CI 1.08-3.06, p = 0.03), regardless of menopausal status. The association was only observed in women with normal (< 25 kg/m2) BMI (OR = 2.43, 95% CI 1.24-4.76, p < 0.01), but not among overweight/obese women (OR: 0.98, 95% CI 0.38-2.52, p = 0.96). CONCLUSIONS: Among Chinese women with normal BMI, higher breast density was associated with HER2-enriched tumors. The results may partially explain the higher proportion of HER2+ tumors previously reported in Asian women.

Measurement challenge: protocol for international case-control comparison of mammographic measures that predict breast cancer risk.

INTRODUCTION: For women of the same age and body mass index, increased mammographic density is one of the strongest predictors of breast cancer risk. There are multiple methods of measuring mammographic density and other features in a mammogram that could potentially be used in a screening setting to identify and target women at high risk of developing breast cancer. However, it is unclear which measurement method provides the strongest predictor of breast cancer risk. METHODS AND ANALYSIS: The measurement challenge has been established as an international resource to offer a common set of anonymised mammogram images for measurement and analysis. To date, full field digital mammogram images and core data from 1650 cases and 1929 controls from five countries have been collated. The measurement challenge is an ongoing collaboration and we are continuing to expand the resource to include additional image sets across different populations (from contributors) and to compare additional measurement methods (by challengers). The intended use of the measurement challenge resource is for refinement and validation of new and existing mammographic measurement methods. The measurement challenge resource provides a standardised dataset of mammographic images and core data that enables investigators to directly compare methods of measuring mammographic density or other mammographic features in case/control sets of both raw and processed images, for the purposes of the comparing their predictions of breast cancer risk. ETHICS AND DISSEMINATION: Challengers and contributors are required to enter a Research Collaboration Agreement with the University of Melbourne prior to participation in the measurement challenge. The Challenge database of collated data and images are stored in a secure data repository at the University of Melbourne. Ethics approval for the measurement challenge is held at University of Melbourne (HREC ID 0931343.3).

A Review of the Role of Augmented Intelligence in Breast Imaging: From Automated Breast Density Assessment to Risk Stratification.

OBJECTIVE: The goal of augmented intelligence is to increase efficiency and effectiveness in practice. To achieve this, augmented intelligence technologies are being asked to perform a range of tasks, from simple to complex and quantitative. The development of these systems is increasingly important as screening becomes more personalized. This article will provide an overview of augmented intelligence in a variety of breast imaging applications. CONCLUSION: The incorporation of AI and ML techniques in breast imaging provides important new tools that will deliver ways to "sharpen" trusted familiar tools (so-called "augmented intelligence") to support radiologists, not replace them. The first wave of medical imaging systems based on AI and ML has primarily used ML to fix the values of key imaging parameters to be adapted to the individual as part of personalized medicine. Artificial intelligence is the new tool in the radiologist's arsenal but will never replace the human qualities that are important in medicine-intellectual curiosity, passion, and drive.

Induction of accelerated senescence by the microtubule-stabilizing agent peloruside A.

Chemotherapeutic agents can induce accelerated senescence in tumor cells, an irreversible state of cell cycle arrest. Paclitaxel, a microtubule-stabilizing agent used to treat solid tumors of the breast, ovary, and lung and discodermolide, another stabilizing agent from a marine sponge, induce senescence in cultured cancer cells. The aim of this study was to determine if the microtubule-stabilizing agent peloruside A, a polyketide natural product from a marine sponge, can induce accelerated senescence in a breast cancer cell line MCF7. Doxorubicin, a DNA-damaging agent, paclitaxel, and discodermolide were used as positive controls. Senescence-associated-ß-galactosidase activity was increased by peloruside A, similar to paclitaxel, discodermolde, and doxorubicin, with a potency heirarchy of doxorubicin > paclitaxel > discodermolide > peloruside, based on IC25 concentrations that inhibit proliferation. Clonogenic survival was significantly decreased by peloruside A, similar to doxorubicin and the two other microtubule-stabilizing agents. The tumor suppressor protein p53 increased after treatment, whereas pRb decreased in response to all four compounds. It was concluded that in addition to apoptosis, peloruside A causes accelerated senescence in a subpopulation of MCF7 cells that contributes to its potential anticancer activity in a breast cancer cell line.

Qualitative Versus Quantitative Mammographic Breast Density Assessment: Applications for the US and Abroad.

Mammographic breast density (MBD) has been proven to be an important risk factor for breast cancer and an important determinant of mammographic screening performance. The measurement of density has changed dramatically since its inception. Initial qualitative measurement methods have been found to have limited consistency between readers, and in regards to breast cancer risk. Following the introduction of full-field digital mammography, more sophisticated measurement methodology is now possible. Automated computer-based density measurements can provide consistent, reproducible, and objective results. In this review paper, we describe various methods currently available to assess MBD, and provide a discussion on the clinical utility of such methods for breast cancer screening.

Using Volumetric Breast Density to Quantify the Potential Masking Risk of Mammographic Density.

OBJECTIVE: The purposes of this study were to compare BI-RADS density categories with quantitative volumetric breast density (VBD) for the reporting of mammographic sensitivity and to identify which patient factors are most predictive of a diagnosis of interval cancer of the breast versus screen-detected cancer. MATERIALS AND METHODS: This retrospective study included screen-detected cancers (n = 652) and interval cancers (n = 119) identified between January 2009 and December 2012. Multivariate logistic regression analysis was used to determine which patient factors are predictive of a diagnosis of interval cancer. Sensitivity (screen-detected cancer / [screen-detected cancer + interval cancer]) was determined with the BI-RADS 4th edition density categories and an automated equivalent density grade obtained with a proprietary tool. Sensitivity changes within automated density grade categories were investigated by use of quantitative thresholds at the midpoints of each category. RESULTS: In univariate analysis, age, menopausal status, and breast density were associated with a diagnosis of interval cancer. Of these risk factors, breast density was the only independent factor whether it was assessed by visual BI-RADS category (odds ratio, 3.54; 95% CI, 1.55-8.10), automated density grade (odds ratio, 4.68; 95% CI, 2.26-9.67), or VBD (odds ratio, 4.51; 95% CI, 1.92-10.61). Sensitivity decreased consistently across increasing automated density grade categories from fatty to extremely dense (95%, 89%, 83%, 65%) and less so for visual BI-RADS (82%, 90%, 84%, 66%). Further dichotomization with VBD cutoffs showed a striking linear relation between VBD and sensitivity (R2 = 0.959). CONCLUSION: In this study, breast density was the only risk factor significantly associated with a diagnosis of interval cancer versus screen-detected cancer. Quantitative VBD captures the potential masking risk of breast density more precisely than does the widely used visual BI-RADS density classification system.

Peloruside A, a microtubule-stabilizing agent, induces aneuploidy in ovarian cancer cells.

To ensure proper chromosome segregation, mitosis is tightly regulated by the spindle assembly checkpoint (SAC). Low concentrations of microtubule-stabilizing agents can induce aneuploid populations of cells in the absence of G2/M block, suggesting pertubation of the spindle checkpoint. We investigated the effects of peloruside A, a microtubule-stabilizing agent, on expression levels of several key cell cycle proteins, MAD2, BUBR1, p55CDC and cyclin B1. Synchronized 1A9 ovarian carcinoma cells were allowed to progress through the cell cycle in the presence or absence of peloruside A. Co-immunoprecipitation and Western blotting were used to probe the cell cycle kinetics of MAD2 and BUBR1 dissociation from p55CDC. Using confocal microscopy, we investigated whether premature dissociation of MAD2 and BUBR1 at low (40 nM) but not high (100 nM) concentrations of peloruside A was caused by defects in the attachment of chromosomes to the mitotic spindle. An increased frequency of polar chromosomes was observed at low concentrations of peloruside A, suggesting that an increased frequency of pseudo-metaphase cells, which are not detected by the spindle assembly checkpoint, may be underlying the induction of aneuploidy.

Inhibition of human vascular endothelial cell migration and capillary-like tube formation by the microtubule-stabilizing agent peloruside A.

Peloruside A is a microtubule-stabilizing agent that is currently under investigation as a potential anticancer agent. Peloruside A binds to a site on ß-tubulin that is distinct to that of the taxanes (paclitaxel and docetaxel) and the epothilones. An attractive clinical quality of microtubule-stabilizing agents is their ability to target multiple mechanisms of tumour growth. In addition to inducing tumour cell apoptosis by arresting cells in mitosis, microtubule-stabilizing agents also inhibit angiogenesis, a process needed by tumor cells for growth and metastasis. In this study, the effects of peloruside A on endothelial cell processes important for angiogenesis were assessed in comparison to docetaxel. Both peloruside A and docetaxel potently inhibited the proliferation of human umbilical vein endothelial cells, with IC50 values of 1.4 and 1.7 nM, respectively. Peloruside also potently blocked endothelial cell migration during wound closure and the three-dimensional organization of the endothelial cells into capillary-like tubes. In the wound scratch assay, peloruside A inhibited wound recovery with an IC50 of 6.3 nM after 18 h. Docetaxel was approximately 3-fold more potent than peloruside A. The number of capillary-like tubes that formed after 16 h culture in Matrigel™ was also inhibited in a dose-dependent manner with an IC50 of 4.5 nM. Docetaxel was about 2-fold more potent than peloruside A in preventing tube formation. This inhibition of endothelial cell function occurred at relatively non-cytotoxic concentrations over the 16-18 h incubations for both stabilizing agents, suggesting that anti-angiogenic effects are likely to occur before therapeutically relevant doses begin to inhibit tumor growth or adverse side effects develop.

Mammographic compression--a need for mechanical standardization.

BACKGROUND: A lack of consistent guidelines regarding mammographic compression has led to wide variation in its technical execution. Breast compression is accomplished by means of a compression paddle, resulting in a certain contact area between the paddle and the breast. This procedure is associated with varying levels of discomfort or pain. On current mammography systems, the only mechanical parameter available in estimating the degree of compression is the physical entity of force (daN). Recently, researchers have suggested that pressure (kPa), resulting from a specific force divided by contact area on a breast, might be a more appropriate parameter for standardization. Software has now become available which enables device-independent cross-comparisons of key mammographic metrics, such as applied compression pressure (force divided by contact area), breast density and radiation dose, between patient populations. PURPOSE: To compare the current compression practice in mammography between different imaging sites in the Netherlands and the United States from a mechanical point of view, and to investigate whether the compression protocols in these countries can be improved by standardization of pressure (kPa) as an objective mechanical parameter. MATERIALS AND METHODS: We retrospectively studied the available parameters of a set of 37,518 mammographic compressions (9188 women) from the Dutch national breast cancer screening programme (NL data set) and of another set of 7171 compressions (1851 women) from a breast imaging centre in Pittsburgh, PA (US data set). Both sets were processed using VolparaAnalytics and VolparaDensity to obtain the applied average force, pressure, breast thickness, breast volume, breast density and average glandular dose (AGD) as a function of the size of the contact area between the breast and the paddle. RESULTS: On average, the forces and pressures applied in the NL data set were significantly higher than in the US data set. The relative standard deviation was larger in the US data set than in the NL data set. Breasts were compressed with a force in the high range of >15 daN for 31.1% and >20 kPa for 12.3% of the NL data set versus, respectively, 1.5% and 1.7% of the US data set. In the low range we encountered compressions with a pressure of <5 daN for 21.1% and <5 kPa for 21.7% of the US data set versus, respectively, 0.05% and 0.6% in the NL data set. Both the average and the standard deviation of the AGD were higher in the US data set. CONCLUSION: (1) Current mammographic breast compression policies lead to a wide range of applied forces and pressures, with large variations both within and between clinical sites. (2) Pressure standardization could decrease variation, improve reproducibility, and reduce the risk of unnecessary pain, unnecessary high radiation doses and inadequate image quality.

Potential role of tubulin tyrosine ligase-like enzymes in tumorigenesis and cancer cell resistance.

Polyglutamylation of tubulin and other non-tubulin substrates is a reversible posttranslational modification brought about by tubulin tyrosine-like ligases. Altered polyglutamylation is linked to tumorigenesis and resistance to chemotherapeutic drugs that target the microtubule, and therefore is a potential pharmacological target in cancer therapy. Despite the large amount of research focused on the development of anticancer agents, only a small number of well-characterized inhibitors of polyglutamylases have been identified, including the phosphinic acid-based inhibitors of Ttll7. In this minireview, we summarize the role of polyglutamylation in cancer, and draw attention to the largely unexplored area of polyglutamylase inhibition in the treatment of cancer.

Paclitaxel effects on the proteome of HL-60 promyelocytic leukemic cells: comparison to peloruside A.

Paclitaxel (Taxol®), a drug used to treat solid tumors of the breast, ovary and lung, stabilizes microtubules and arrests cells in G(2)/M of the cell cycle. Using two-dimensional differential in-gel electrophoresis (DIGE), we examined the proteomic response of a human HL-60 promyeloid leukemic cell line to paclitaxel. Our intention was to compare the effects of paclitaxel to those of a new-generation microtubule-stabilizing agent, peloruside A, investigated in an earlier study. In response to 100 nM paclitaxel treatment for 24 h, 21 identified proteins changed in abundance, with 13 increases and 8 decreases. In addition, 21 other unidentified proteins were also changed by treatment with paclitaxel. Using Western blotting, the transcription factor c-Myc was shown to be reduced in abundance by both drugs. Our results showed both differences and similarities at the single protein level between paclitaxel and peloruside A, although the same general classes of proteins: cytoskeletal, nucleic acid binding, stress, and apoptotic proteins, changed following exposure. The proteomic response to paclitaxel was more extensive than the response to an equipotent dose of peloruside A.

Peloruside- and laulimalide-resistant human ovarian carcinoma cells have ßI-tubulin mutations and altered expression of ßII- and ßIII-tubulin isotypes.

Peloruside A and laulimalide are potent microtubule-stabilizing natural products with a mechanism of action similar to that of paclitaxel. However, the binding site of peloruside A and laulimalide on tubulin remains poorly understood. Drug resistance in anticancer treatment is a serious problem. We developed peloruside A- and laulimalide-resistant cell lines by selecting 1A9 human ovarian carcinoma cells that were able to grow in the presence of one of these agents. The 1A9-laulimalide resistant cells (L4) were 39-fold resistant to the selecting agent and 39-fold cross-resistant to peloruside A, whereas the 1A9-peloruside A resistant cells (R1) were 6-fold resistant to the selecting agent while they remained sensitive to laulimalide. Neither cell line showed resistance to paclitaxel or other drugs that bind to the taxoid site on ß-tubulin nor was there resistance to microtubule-destabilizing drugs. The resistant cells exhibited impaired peloruside A/laulimalide-induced tubulin polymerization and impaired mitotic arrest. Tubulin mutations were found in the ßI-tubulin isotype, R306H or R306C for L4 and A296T for R1 cells. This is the first cell-based evidence to support a ß-tubulin-binding site for peloruside A and laulimalide. To determine whether the different resistance phenotypes of the cells were attributable to any other tubulin alterations, the ß-tubulin isotype composition of the cells was examined. Increased expression of ßII- and ßIII-tubulin was observed in L4 cells only. These results provide insight into how alterations in tubulin lead to unique resistance profiles for two drugs, peloruside A and laulimalide, that have a similar mode of action.

Synergistic interactions between peloruside A and other microtubule-stabilizing and destabilizing agents in cultured human ovarian carcinoma cells and murine T cells.

PURPOSE: Microtubule-stabilizing agents are an important class of anticancer compounds. Peloruside A and laulimalide bind to a different site on the microtubule to taxoid site drugs such as paclitaxel (Taxol(®)), docetaxel (Taxotere(®)), ixabepilone (Ixempra(®)), the epothilones, and discodermolide. The purpose of this study was to examine the synergistic interactions of these drugs when given in combination in relation to the differences in their binding sites on the microtubule. METHODS: Human ovarian carcinoma cells (1A9 cells) and murine T cells were treated with different combinations of microtubule-stabilizing or destabilizing agents. The compounds were given individually and in combination, and the antiproliferative activity was assessed to calculate a combination index (CI) from the equation: CI = D(1)/Dx(1) + D(2)/Dx(2) in which D(1) and D(2) are the concentrations of drug 1 and drug 2 that when given together give the same response as drug 1 and 2 alone (Dx(1) and Dx(2)). Thus, a CI value of less than 1.0 indicates a synergistic effect between the two drugs in which the response to the two drugs given together is greater than the additive response of the two drugs if given on their own. RESULTS: As anticipated from previous in vitro studies, peloruside A and laulimalide did not synergize with each other. They also failed to synergize with the microtubule-destabilizing agents vinblastine and 2-methoxyestradiol. Peloruside A and laulimalide did, however, synergize with the epothilones, as had been previously shown, but not with docetaxel or discodermolide. CONCLUSIONS: Combining two microtubule-targeting agents with different binding sites does not guarantee a synergistic interaction in cells, and additional factors are likely to be involved. This study highlights the importance of preclinical testing of actual combinations of drugs before proceeding into clinical trials.

Peloruside A inhibits microtubule dynamics in a breast cancer cell line MCF7.

Peloruside A (PelA), a novel microtubule-stabilizing agent and potential anti-cancer drug, isolated from the marine sponge Mycale hentscheli, binds to a distinct, non-taxoid binding site on tubulin. Using live-cell confocal microscopy, the effects of PelA on microtubule dynamics were quantified in a human breast adenocarcinoma cell line (MCF7) stably expressing GFP-α-tubulin. Changes in microtubule length were tracked over time in cells treated with PelA concentrations ranging from 3.8-100 nM. As with other microtubule-targeting drugs like paclitaxel and epothilone B, microtubule dynamics were suppressed in a concentration-dependent manner. At the PelA IC50 concentrations for cell proliferation (3.8 nM) and G2/M block (25 nM), PelA inhibited dynamicity by 23% and 45%, respectively. At 25 nM PelA, effects included a 24% and 41% reduction in average growth rate and growth length, respectively. Additionally, the total time spent in pause increased by 53% and coincided with a 36% reduction in the average amount of time spent growing. Rescue and catastrophe frequencies were not significantly affected by PelA, except for length-based catastrophe (67% increase). The results provide further insight into PelA's unique mode of stabilization and contribute to our understanding of how microtubule-targeting agents exert their anti-mitotic effects.

Peloruside B, a potent antitumor macrolide from the New Zealand marine sponge Mycale hentscheli: isolation, structure, total synthesis, and bioactivity.

Peloruside B (2), a natural congener of peloruside A (1), was isolated in sub-milligram quantities from the New Zealand marine sponge Mycale hentscheli. Peloruside B promotes microtubule polymerization and arrests cells in the G(2)/M phase of mitosis similar to paclitaxel, and its bioactivity was comparable to that of peloruside A. NMR-directed isolation, structure elucidation, structure confirmation by total synthesis, and bioactivity of peloruside B are described in this article. The synthesis features Sharpless dihydroxylation, Brown's asymmetric allylboration reaction, reductive aldol coupling, Yamaguchi macrolactonization, and selective methylation.