Allison Hall

Positions:

Associate Professor of Pathology

Pathology
School of Medicine

Member of the Duke Cancer Institute

Duke Cancer Institute
School of Medicine

Education:

MD./PhD. 2007

Duke University School of Medicine

Resident, Pathology

Duke University School of Medicine

Grants:

Anti-HPV RNA Interference Using Modified RNA's

Administered By
Pediatrics, Infectious Diseases
Awarded By
National Institutes of Health
Role
Research Assistant
Start Date
End Date

Publications:

Pathology Engagement in Global Health: Exploring Opportunities to Get Involved.

Authors
Razzano, D; Hall, A; Gardner, JM; Jiang, XS
MLA Citation
Razzano, Dana, et al. “Pathology Engagement in Global Health: Exploring Opportunities to Get Involved.Arch Pathol Lab Med, vol. 143, no. 4, Apr. 2019, pp. 418–21. Pubmed, doi:10.5858/arpa.2018-0280-ED.
URI
https://scholars.duke.edu/individual/pub1477867
PMID
30920866
Source
pubmed
Published In
Arch Pathol Lab Med
Volume
143
Published Date
Start Page
418
End Page
421
DOI
10.5858/arpa.2018-0280-ED

Unmasking the immune microecology of ductal carcinoma in situ with deep learning.

Despite increasing evidence supporting the clinical relevance of tumour infiltrating lymphocytes (TILs) in invasive breast cancer, TIL spatial variability within ductal carcinoma in situ (DCIS) samples and its association with progression are not well understood. To characterise tissue spatial architecture and the microenvironment of DCIS, we designed and validated a new deep learning pipeline, UNMaSk. Following automated detection of individual DCIS ducts using a new method IM-Net, we applied spatial tessellation to create virtual boundaries for each duct. To study local TIL infiltration for each duct, DRDIN was developed for mapping the distribution of TILs. In a dataset comprising grade 2-3 pure DCIS and DCIS adjacent to invasive cancer (adjacent DCIS), we found that pure DCIS cases had more TILs compared to adjacent DCIS. However, the colocalisation of TILs with DCIS ducts was significantly lower in pure DCIS compared to adjacent DCIS, which may suggest a more inflamed tissue ecology local to DCIS ducts in adjacent DCIS cases. Our study demonstrates that technological developments in deep convolutional neural networks and digital pathology can enable an automated morphological and microenvironmental analysis of DCIS, providing a new way to study differential immune ecology for individual ducts and identify new markers of progression.
Authors
Narayanan, PL; Raza, SEA; Hall, AH; Marks, JR; King, L; West, RB; Hernandez, L; Guppy, N; Dowsett, M; Gusterson, B; Maley, C; Hwang, ES; Yuan, Y
MLA Citation
Narayanan, Priya Lakshmi, et al. “Unmasking the immune microecology of ductal carcinoma in situ with deep learning.Npj Breast Cancer, vol. 7, no. 1, Mar. 2021, p. 19. Pubmed, doi:10.1038/s41523-020-00205-5.
URI
https://scholars.duke.edu/individual/pub1475719
PMID
33649333
Source
pubmed
Published In
Npj Breast Cancer
Volume
7
Published Date
Start Page
19
DOI
10.1038/s41523-020-00205-5

Survey of Global Health Education and Training in Pathology Residency Programs in the United States.

OBJECTIVES: This study assessed the prevalence, general interest, and barriers to implementing global health curricula in pathology residency programs. METHODS: We conducted a survey of 166 US pathology residency programs. RESULTS: Thirty-two (195) of 166 programs responded. Of these, 13% have a formalized global health program (n = 4), and the majority indicated at least some general interest in global health among trainees (88%, n = 28) and faculty (94%, n = 30), albeit at a low to moderate level. Funding limitations, regulatory constraints, and insufficient knowledge of global health were frequently cited barriers to developing a global health program. CONCLUSIONS: Few US pathology departments incorporate global health education into postgraduate training. The importance of pathology in global health has been underappreciated, despite its critical role in the delivery of health care in resource-limited settings. One solution is for pathology departments to expand global health educational opportunities for trainees.
Authors
Glynn, EH; Guarner, J; Hall, A; Nelson, AM; Andiric, LR; Milner, DA; Eichbaum, Q
MLA Citation
Glynn, Emily H., et al. “Survey of Global Health Education and Training in Pathology Residency Programs in the United States.Am J Clin Pathol, vol. 153, no. 3, Feb. 2020, pp. 374–79. Pubmed, doi:10.1093/ajcp/aqz178.
URI
https://scholars.duke.edu/individual/pub1422452
PMID
31755908
Source
pubmed
Published In
Am J Clin Pathol
Volume
153
Published Date
Start Page
374
End Page
379
DOI
10.1093/ajcp/aqz178

Derivation of a nuclear heterogeneity image index to grade DCIS.

Abnormalities in cell nuclear morphology are a hallmark of cancer. Histological assessment of cell nuclear morphology is frequently used by pathologists to grade ductal carcinoma in situ (DCIS). Objective methods that allow standardization and reproducibility of cell nuclear morphology assessment have potential to improve the criteria needed to predict DCIS progression and recurrence. Aggressive cancers are highly heterogeneous. We asked whether cell nuclear morphology heterogeneity could be incorporated into a metric to classify DCIS. We developed a nuclear heterogeneity image index to objectively, and quantitatively grade DCIS. A whole-tissue cell nuclear morphological analysis, that classified tumors by the worst ten percent in a duct-by-duct manner, identified nuclear size ranges associated with each DCIS grade. Digital image analysis further revealed increasing heterogeneity within ducts or between ducts in tissues of worsening DCIS grade. The findings illustrate how digital image analysis comprises a supplemental tool for pathologists to objectively classify DCIS and in the future, may provide a method to predict patient outcome through analysis of nuclear heterogeneity.
Authors
Hayward, M-K; Louise Jones, J; Hall, A; King, L; Ironside, AJ; Nelson, AC; Shelley Hwang, E; Weaver, VM
MLA Citation
Hayward, Mary-Kate, et al. “Derivation of a nuclear heterogeneity image index to grade DCIS.Comput Struct Biotechnol J, vol. 18, 2020, pp. 4063–70. Pubmed, doi:10.1016/j.csbj.2020.11.040.
URI
https://scholars.duke.edu/individual/pub1469320
PMID
33363702
Source
pubmed
Published In
Computational and Structural Biotechnology Journal
Volume
18
Published Date
Start Page
4063
End Page
4070
DOI
10.1016/j.csbj.2020.11.040

Breast cancer in Tanzanian, black American, and white American women: An assessment of prognostic and predictive features, including tumor infiltrating lymphocytes.

INTRODUCTION: Breast cancer is a major cause of morbidity and mortality for women in Sub-Saharan Africa and for black American women. There is evidence that the pathologic characteristics of breast cancers in both African women and black American women may differ from their counterparts of European ancestry. However, despite the great burden of disease, data on pathologic features of breast carcinoma in Sub-Saharan Africa is limited and often contradictory. This lack of information makes it difficult to prioritize resource use in efforts to improve breast cancer outcomes in the region. METHODS: We examined consecutive cases of breast cancer in Tanzanian women (n = 83), black American women (n = 120), and white American women (n = 120). Each case was assessed for tumor type, grade, mitotic count, ER and HER2 status, and tumor infiltrating lymphocyte involvement. RESULTS: The Tanzanian subjects were younger and had higher stage tumors than the subjects in either American group. Breast cancers in the Tanzanian and black American groups were more likely to be high grade (p = 0.008), to have a high mitotic rate (p<0.0001), and to be ER-negative (p<0.001) than the tumors in the white American group. Higher levels of tumor infiltrating lymphocyte involvement were seen among Tanzanian and black American subjects compared to white American subjects (p = 0.0001). Among all subjects, tumor infiltrating lymphocyte levels were higher in tumors with a high mitotic rate. Among Tanzanian and black American subjects, tumor infiltrating lymphocyte levels were higher in ER-negative tumors. These findings have implications for treatment priorities for breast cancer in Tanzania and other Sub-Saharan African countries.
Authors
Mremi, A; Broadwater, G; Jackson, K; Amsi, P; Mbulwa, C; Hyslop, T; Ong, C; Hall, A
MLA Citation
Mremi, Alex, et al. “Breast cancer in Tanzanian, black American, and white American women: An assessment of prognostic and predictive features, including tumor infiltrating lymphocytes.Plos One, vol. 14, no. 11, 2019, p. e0224760. Pubmed, doi:10.1371/journal.pone.0224760.
URI
https://scholars.duke.edu/individual/pub1421623
PMID
31703083
Source
pubmed
Published In
Plos One
Volume
14
Published Date
Start Page
e0224760
DOI
10.1371/journal.pone.0224760