Maya Palakal
National Institutes of Health
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Featured researches published by Maya Palakal.
Cancer Prevention Research | 2016
Gretchen L. Gierach; Deesha A. Patel; Ruth M. Pfeiffer; Jonine D. Figueroa; Laura Linville; Daphne Papathomas; Jason M. Johnson; Rachael E. Chicoine; Sally D. Herschorn; John A. Shepherd; Jeff Wang; Serghei Malkov; Pamela M. Vacek; Donald L. Weaver; Bo Fan; Amir Pasha Mahmoudzadeh; Maya Palakal; Jackie Xiang; Hannah Oh; Hisani N. Horne; Brian L. Sprague; Stephen M. Hewitt; Louise A. Brinton; Mark E. Sherman
Elevated mammographic density (MD) is an established breast cancer risk factor. Reduced involution of terminal duct lobular units (TDLU), the histologic source of most breast cancers, has been associated with higher MD and breast cancer risk. We investigated relationships of TDLU involution with area and volumetric MD, measured throughout the breast and surrounding biopsy targets (perilesional). Three measures inversely related to TDLU involution (TDLU count/mm2, median TDLU span, median acini count/TDLU) assessed in benign diagnostic biopsies from 348 women, ages 40–65, were related to MD area (quantified with thresholding software) and volume (assessed with a density phantom) by analysis of covariance, stratified by menopausal status and adjusted for confounders. Among premenopausal women, TDLU count was directly associated with percent perilesional MD (P trend = 0.03), but not with absolute dense area/volume. Greater TDLU span was associated with elevated percent dense area/volume (P trend<0.05) and absolute perilesional MD (P = 0.003). Acini count was directly associated with absolute perilesional MD (P = 0.02). Greater TDLU involution (all metrics) was associated with increased nondense area/volume (P trend ≤ 0.04). Among postmenopausal women, TDLU measures were not significantly associated with MD. Among premenopausal women, reduced TDLU involution was associated with higher area and volumetric MD, particularly in perilesional parenchyma. Data indicating that TDLU involution and MD are correlated markers of breast cancer risk suggest that associations of MD with breast cancer may partly reflect amounts of at-risk epithelium. If confirmed, these results could suggest a prevention paradigm based on enhancing TDLU involution and monitoring efficacy by assessing MD reduction. Cancer Prev Res; 9(2); 149–58. ©2015 AACR.
Breast Cancer Research | 2016
Hisani N. Horne; Mark E. Sherman; Ruth M. Pfeiffer; Jonine D. Figueroa; Zeina G. Khodr; Roni T. Falk; Michael Pollak; Deesha A. Patel; Maya Palakal; Laura Linville; Daphne Papathomas; Berta M. Geller; Pamela M. Vacek; Donald L. Weaver; Rachael E. Chicoine; John A. Shepherd; Amir Pasha Mahmoudzadeh; Jeff Wang; Bo Fan; Serghei Malkov; Sally D. Herschorn; Stephen M. Hewitt; Louise A. Brinton; Gretchen L. Gierach
BackgroundTerminal duct lobular units (TDLUs) are the primary structures from which breast cancers and their precursors arise. Decreased age-related TDLU involution and elevated mammographic density are both correlated and independently associated with increased breast cancer risk, suggesting that these characteristics of breast parenchyma might be linked to a common factor. Given data suggesting that increased circulating levels of insulin-like growth factors (IGFs) factors are related to reduced TDLU involution and increased mammographic density, we assessed these relationships using validated quantitative methods in a cross-sectional study of women with benign breast disease.MethodsSerum IGF-I, IGFBP-3 and IGF-I:IGFBP-3 molar ratios were measured in 228 women, ages 40-64, who underwent diagnostic breast biopsies yielding benign diagnoses at University of Vermont affiliated centers. Biopsies were assessed for three separate measures inversely related to TDLU involution: numbers of TDLUs per unit of tissue area (“TDLU count”), median TDLU diameter (“TDLU span”), and number of acini per TDLU (“acini count”). Regression models, stratified by menopausal status and adjusted for potential confounders, were used to assess the associations of TDLU count, median TDLU span and median acini count per TDLU with tertiles of circulating IGFs. Given that mammographic density is associated with both IGF levels and breast cancer risk, we also stratified these associations by mammographic density.ResultsHigher IGF-I levels among postmenopausal women and an elevated IGF-I:IGFBP-3 ratio among all women were associated with higher TDLU counts, a marker of decreased lobular involution (P-trend = 0.009 and <0.0001, respectively); these associations were strongest among women with elevated mammographic density (P-interaction <0.01). Circulating IGF levels were not significantly associated with TDLU span or acini count per TDLU.ConclusionsThese results suggest that elevated IGF levels may define a sub-group of women with high mammographic density and limited TDLU involution, two markers that have been related to increased breast cancer risk. If confirmed in prospective studies with cancer endpoints, these data may suggest that evaluation of IGF signaling and its downstream effects may have value for risk prediction and suggest strategies for breast cancer chemoprevention through inhibition of the IGF system.
Cancer Research | 2015
Jonine D. Figueroa; Ruth M. Pfeiffer; Maya Palakal; Amy C. Degnim; Derek C. Radisky; Lynn C. Hartmann; Marlene H. Frost; Melody L. Stallings Mann; Louise A. Brinton; Daphne Papathomas; Daniel W. Visscher; Mark E. Sherman
Purpose: Breast biopsies with benign findings (benign breast disease [BBD]) outnumber biopsies revealing in-situ or invasive cancer 4:1, providing an opportunity to identify histopathological features that predict breast cancer risk. Greater degrees of involution of terminal duct lobular units (TDLUs), the structures within the breast that produce milk and the primary source of breast cancer precursors, have been inversely associated with breast cancer risk among women with BBD. We recently developed measures to quantitate levels of TDLU involution, which demonstrate high inter/intra pathologist reproducibility. Here we assessed whether TDLU counts/100mm2 and median TDLU span (microns), two measures inversely related to degree of TDLU involution, are associated with subsequent breast cancer risk among women with BBD. Methods: From the Mayo BBD cohort (n = 9,376), we evaluated benign biopsies from 99 women who later developed breast cancer (cases) and 145 age-matched controls who did not develop breast cancer. Digitized images of biopsy sections were reviewed to enumerate TDLUs/mm2 and measure median TDLU span (microns) for up to ten normal TDLUs. Breast cancer risk factors were available from questionnaires or medical records. To assess associations with breast cancer risk, subjects were categorized into quartile levels of TDLU counts and median TDLU spans, based on data from controls. Odds ratios (ORs) and 95% confidence intervals (CI) were estimated using multivariable conditional logistic regression models, adjusted for histologic type of BBD, family history of breast cancer and menopausal hormone use. Results: Compared to controls, women who developed breast cancer had higher median number of TDLU counts/100mm2 (28 vs 20, p = 0.03) and larger TDLU spans (300 vs 267 microns, p = 0.14). In multivariable models higher TDLU counts (quartile4 vs. quartile1, OR = 2.44, 95%CI = 0.96-6.19, ptrend = 0.02) and larger TDLU span measures (quartile4 vs. quartile1, OR = 2.83, 95%CI = 1.13-7.06, ptrend = 0.03) were associated with subsequent diagnosis of breast cancer. Combinatorial metrics of TDLU counts with median TDLU span measures identified women at higher risk; specifically, women above the median for both TDLU span and TDLU counts had an OR = 3.75 (95%CI = 1.40-10.00, ptrend = 0.008), compared with women below the median for TDLU span and TDLU counts. Conclusion: These data show that lack of TDLU involution, as measured by increased persistence of TDLU counts, larger median TDLU spans and cross-classification using these measures was associated with increased breast cancer risk among women with BBD, extending prior work in this cohort based on other TDLU involution metrics. Future studies to identify determinants of TDLU involution, its association with breast cancer risk and its potential as an intermediate endpoint in prevention studies warrant consideration. Citation Format: Jonine D. Figueroa, Ruth Pfeiffer, Maya Palakal, Amy C. Degnim, Derek Radisky, Lynn C. Hartmann, Marlene Frost, Melody L. Stallings Mann, Louise A. Brinton, Daphne Papathomas, Daniel Visscher, Mark E. Sherman. Standardized measures of lobular involution and subsequent breast cancer risk among women with benign breast disease. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 4682. doi:10.1158/1538-7445.AM2015-4682
International Journal of Cancer | 2017
Clara Bodelon; Hannah Oh; Nilanjan Chatterjee; Montserrat Garcia-Closas; Maya Palakal; Mark E. Sherman; Ruth M. Pfeiffer; Berta M. Geller; Pamela M. Vacek; Donald L. Weaver; Rachael E. Chicoine; Daphne Papathomas; Jackie Xiang; Deesha A. Patel; Zeina G. Khodr; Laura Linville; Susan E. Clare; Daniel W. Visscher; Carolyn Mies; Stephen M. Hewitt; Louise A. Brinton; Anna Maria Storniolo; Chunyan He; Stephen J. Chanock; Gretchen L. Gierach; Jonine D. Figueroa
Terminal duct lobular units (TDLUs) are the predominant source of future breast cancers, and lack of TDLU involution (higher TDLU counts, higher acini count per TDLU and the product of the two) is a breast cancer risk factor. Numerous breast cancer susceptibility single nucleotide polymorphisms (SNPs) have been identified, but whether they are associated with TDLU involution is unknown. In a pooled analysis of 872 women from two studies, we investigated 62 established breast cancer SNPs and relationships with TDLU involution. Poisson regression models with robust variance were used to calculate adjusted per‐allele relative risks (with the non‐breast cancer risk allele as the referent) and 95% confidence intervals between TDLU measures and each SNP. All statistical tests were two‐sided; P < 0.05 was considered statistically significant. Overall, 36 SNPs (58.1%) were related to higher TDLU counts although this was not statistically significant (p = 0.25). Six of the 62 SNPs (9.7%) were nominally associated with at least one TDLU measure: rs616488 (PEX14), rs11242675 (FOXQ1) and rs6001930 (MKL1) were associated with higher TDLU count (p = 0.047, 0.045 and 0.031, respectively); rs1353747 (PDE4D) and rs6472903 (8q21.11) were associated with higher acini count per TDLU (p = 0.007 and 0.027, respectively); and rs1353747 (PDE4D) and rs204247 (RANBP9) were associated with the product of TDLU and acini counts (p = 0.024 and 0.017, respectively). Our findings suggest breast cancer SNPs may not strongly influence TDLU involution. Agnostic genome‐wide association studies of TDLU involution may provide new insights on its biologic underpinnings and breast cancer susceptibility.
Cancer Research | 2017
Maeve Mullooly; Babak Ehteshami Bejnordi; Maya Palakal; Pamela M. Vacek; Donald L. Weaver; John A. Shepherd; Bo Fan; Amir Pasha Mahmoudzadeh; Jeff Wang; Jason M. Johnson; Sally D. Herschorn; Brian L. Sprague; Ruth M. Pfeiffer; Louise A. Brinton; Mark E. Sherman; Andrew H. Beck; Gretchen L. Gierach
Background: High percent mammographic density (MD), which reflects the relative fibroglandular tissue content of the breast, is one of the strongest breast cancer risk factors; however, the pathologic mediators of this risk are unknown. We hypothesize that analysis of breast tissue sections using deep learning approaches may characterize histologic features that underpin risk associated with high MD. Methods: Non-targeted HE 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 4235. doi:10.1158/1538-7445.AM2017-4235
Cancer Research | 2017
Shahin Sayed; Zahir Moloo; Ronald Wasike; Asim Jamal; Peter Bird; Maya Palakal; Gretchen L. Gierach; Dhiren Govender; Mansoor N. Saleh
Background: Breast cancer is the most common female malignancy worldwide. The effect of race and ethnicity on breast cancer has been the subject of much investigation. However, there are no published data from specific regions of sub-Saharan Africa with regards to the ethnic distribution of breast cancer and its subtypes. Objective: To investigate the differences in clinical and pathological characteristics of breast cancer in three major ethno-cultural groupings (Bantus, Nilotes and Cushites) in Kenya. Methods: A nationwide prospective study involving 15 public, faith-based and private institutions, which recruited patients with pathologically confirmed breast cancer between March 2012 and May 2015, was conducted. Relevant socio-demographic, clinical, reproductive and known breast cancer risk factor data were collected using a standardized questionnaire. Central pathology review and immunohistochemistry of all breast cancer tissue were done at Aga Khan University Hospital Nairobi. Proportions, chi-square tests, and logistic regression were used in the analysis of data. Results: Among the 867 female study participants with malignant breast tumor, 675 (77.8%) were Bantus, 148 (17.0%) were Nilotes, 20 (2.4%) were Cushites, and 24 (2.8%) were patients of mixed ethnicity. Bantus were more likely than the other three ethnic groups to fall within the 40-49 year age group (32 vs 19, 15, and 25% respectively, p=0.002), more likely to have at most secondary education (27.6 vs 17.6, 0, and 16.7%, p=0.0003), and more likely to be farmers (33.9 vs 19.6, 0.0, and 16.7%, p Conclusion: The differences observed for some of the clinical and pathologic features of Breast Cancer among the three distinct ethnic groups in Kenya could be multifactorial and attributable to socio economic indicators, lifestyle factors and probable genetic variations. The association of specific measurements and biomarkers of obesity from Breast cancer patients among the ethnic Kenyan population and the association of serum estradiol concentrations with ethnicity and breast cancer subtypes are areas of future research. Further research to explore the BC incidence among the ethnic groups may provide insight into yet unexplored risk factors and etiology of breast cancer. Citation Format: Shahin Sayed, Zahir Moloo, Ronald Wasike, Asim Jamal, Peter Bird, Maya Palakal, Gretchen Gierach, Dhiren Govender, Mansoor Saleh. Ethnic differences in the clinical and pathological characteristics of breast cancer among Kenyan women [abstract]. In: Proceedings of the AACR International Conference: New Frontiers in Cancer Research; 2017 Jan 18-22; Cape Town, South Africa. Philadelphia (PA): AACR; Cancer Res 2017;77(22 Suppl):Abstract nr A12.
Cancer Research | 2016
Hisani N. Horne; Hannah Oh; Mark E. Sherman; Maya Palakal; Stephen Hewitt; Marjanka K. Schmidt; Javier Benitez; Roger L. Milne; Hermann Brenner; Heli Nevanlinna; Arto Mannermaa; Georgia Chenevix-Trench; Fergus J. Couch; Peter Devilee; Diana Eccles; Maartje J. Hooning; Anthony J. Swerdlow; Nick Orr; Melissa A. Troester; Renata Cora; Paul Pharoah; Montserrat Garcia-Closas; Jonine D. Figueroa
Purpose: Expression of the tumor suppressor gene E-cadherin is diminished in lobular breast cancers and has been implicated in epithelial mesenchymal transition. We assessed risk factor associations for breast cancer stratified by low vs. high E-cadherin protein expression in a pooled analysis within the Breast Cancer Association Consortium (BCAC) studies. Methods: E-cadherin tumor tissue staining was performed centrally at the NCI on formalin-fixed paraffin-embedded tissue microarray (TMA) sections representing 6,010 breast cancer patients from 12 US and European BCAC studies. TMAs were digitally scanned and scored using the SlidePath Digital Image Hub (Leica Biosystems, Wetzlar, Germany). For 5,896 cancers with evaluable tumors, E-cadherin was visually scored as estimated percent of positive cells times stain intensity (0, 1+, 2+, 3+) (score range 0-300). E-cadherin low was defined as tumors with a score Results: E-cadherin low cancers comprised 20% of tumors and were associated with lobular histology, well/moderately differentiated cancers, > 2cm in size, and HER2-negative status (χ2, P Conclusion: This large pooled analysis shows that breast cancer risk factor associations may differ by E-cadherin expression independent of ER status, suggesting that it may represent a marker of etiologic heterogeneity. Citation Format: Hisani N. Horne, Hannah Oh, Mark E. Sherman, Maya Palakal, Stephen H. Hewitt, Marjanka Schmidt, Javier Benitez, Roger Milne, Hermann Brenner, Heli Nevanlinna, Arto Mannermaa, Georgia Chenevix-Trench, Fergus Couch, Peter Devilee, Diana Eccles, Maartje Hooning, Anthony J. Swerdlow, Nick Orr, Melissa A. Troester, Renata Cora, Paul D. Pharoah, Montserrat Garcia-Closas, Jonine D. Figueroa. Breast cancer risk factor associations by loss of E-cadherin tumor tissue expression: A pooled analysis of 5,896 cases in 12 studies from the Breast Cancer Association Consortium (BCAC). [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 3451.
Hormones and Cancer | 2016
Hannah Oh; Zeina G. Khodr; Mark E. Sherman; Maya Palakal; Ruth M. Pfeiffer; Laura Linville; Berta M. Geller; Pamela M. Vacek; Donald L. Weaver; Rachael E. Chicoine; Roni T. Falk; Hisani N. Horne; Daphne Papathomas; Deesha A. Patel; Jackie Xiang; Xia Xu; Timothy D. Veenstra; Stephen M. Hewitt; John A. Shepherd; Louise A. Brinton; Jonine D. Figueroa; Gretchen L. Gierach
Breast Cancer Research and Treatment | 2016
Jonine D. Figueroa; Ruth M. Pfeiffer; Louise A. Brinton; Maya Palakal; Amy C. Degnim; Derek C. Radisky; Lynn C. Hartmann; Marlene H. Frost; Melody L. Stallings Mann; Daphne Papathomas; Gretchen L. Gierach; Stephen M. Hewitt; Máire A. Duggan; Daniel W. Visscher; Mark E. Sherman
Breast Cancer Research and Treatment | 2016
Hannah Oh; Clara Bodelon; Maya Palakal; Nilanjan Chatterjee; Mark E. Sherman; Laura Linville; Berta M. Geller; Pamela M. Vacek; Donald L. Weaver; Rachael E. Chicoine; Daphne Papathomas; Deesha A. Patel; Jackie Xiang; Susan E. Clare; Daniel W. Visscher; Carolyn Mies; Stephen M. Hewitt; Louise A. Brinton; Anna Maria Storniolo; Chunyan He; Montserrat Garcia-Closas; Stephen J. Chanock; Gretchen L. Gierach; Jonine D. Figueroa